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1.
Because less than one-third of clinically relevant fusaria can be accurately identified to species level using phenotypic data (i.e., morphological species recognition), we constructed a three-locus DNA sequence database to facilitate molecular identification of the 69 Fusarium species associated with human or animal mycoses encountered in clinical microbiology laboratories. The database comprises partial sequences from three nuclear genes: translation elongation factor 1α (EF-1α), the largest subunit of RNA polymerase (RPB1), and the second largest subunit of RNA polymerase (RPB2). These three gene fragments can be amplified by PCR and sequenced using primers that are conserved across the phylogenetic breadth of Fusarium. Phylogenetic analyses of the combined data set reveal that, with the exception of two monotypic lineages, all clinically relevant fusaria are nested in one of eight variously sized and strongly supported species complexes. The monophyletic lineages have been named informally to facilitate communication of an isolate''s clade membership and genetic diversity. To identify isolates to the species included within the database, partial DNA sequence data from one or more of the three genes can be used as a BLAST query against the database which is Web accessible at FUSARIUM-ID (http://isolate.fusariumdb.org) and the Centraalbureau voor Schimmelcultures (CBS-KNAW) Fungal Biodiversity Center (http://www.cbs.knaw.nl/fusarium). Alternatively, isolates can be identified via phylogenetic analysis by adding sequences of unknowns to the DNA sequence alignment, which can be downloaded from the two aforementioned websites. The utility of this database should increase significantly as members of the clinical microbiology community deposit in internationally accessible culture collections (e.g., CBS-KNAW or the Fusarium Research Center) cultures of novel mycosis-associated fusaria, along with associated, corrected sequence chromatograms and data, so that the sequence results can be verified and isolates are made available for future study.In addition to being the single most important genus of toxigenic phytopathogens (40), Fusarium (Hypocreales, Ascomycota) has emerged over the past 3 decades as one of the most important genera of filamentous fungi responsible for deeply invasive, opportunistic infections in humans (83). Clinically, fusarioses in immunocompetent patients typically present as superficial infections, such as onychomycosis and trauma-associated keratitis, or locally invasive infections, such as sinusitis, catheter-associated peritonitis, pneumonia, or diabetic cellulitis (77). The 2005-2006 keratitis outbreaks within the United States and Asia, however, were unusual in that they were linked to the use of a novel soft contact lens cleaning solution, which was subsequently removed from the market (11). In contrast, immunocompromised or immunosuppressed patients who are persistently and profoundly neutropenic may acquire life-threatening angioinvasive, hematogenously disseminated fusarial infections associated with high morbidity and mortality rates (15). The high mortality of immunosuppressed patients is due in part to the broad resistance of most fusaria to the spectrum of antifungals currently available (1, 4-7, 56); liposomal amphotericin B shows the greatest efficacy among the drugs currently in use (3, 17, 66).A series of molecular phylogenetic studies has led to the important conceptual advance that morphological species recognition within Fusarium (22, 38, 47) greatly underestimates its species diversity (49, 50, 53, 54-57, 59, 70, 85). This finding is not too surprising, given that phenotypic methods for identifying fusaria rely on relatively few morphological and cultural characters (75). Based on an extensive literature review, Nucci and Anaissie (48) recently recorded 12 morphospecies associated with fusarial infections within the immunocompromised patient population. However, phylogenetic species recognition based on genealogical concordance of multilocus DNA sequence data (herein referred to as GCPSR) (79) has identified at least 69 clinically important Fusarium species (Table (Table1)1) (49, 54, 56, 57, 70, 85). Phylogenetic species in these studies were recognized if they received ≥70% maximum parsimony (MP) bootstrap support (78) from the majority of the individual gene partitions and the combined data set and if their monophyly was not contradicted by analyses of any of the individual single-gene partitions.

TABLE 1.

Fusaria subjected to DNA MLST
NRRL no.ComplexaSpeciesbEquivalent no.cIsolate sourcegGeographic originReference(s) or source
13604GFSCF. napiformeCBS 748.97MilletNamibia44
20423FIESCFIESC 4-a (F. lacertarum)IMI 300797Lizard skinIndia57, 74
20711FDSCF. penzigiiCBS 116508Human eyeSri Lanka70
22608FSSCFSSC 20-aUTHSC 93-1547HumanMassachusetts56
22611FSSCFSSC 14-aUTHSC 93-2524Human eyeMichigan56
25197FLSCF. cf. lateritiumBBA 65687Bambusa vulgarisVenezuela46
25229GFSCF. thapsinumIMI 240460Human mycetomaItaly6, 50
25378FOSCFOSC clade 3dIMI 214661HumanOklahoma4, 51, 58
25387FOSCFOSC clade 2ATCC 26225Human toenailNew Zealand4, 51, 58
25479FSASCF. sporotrichioidesCBS 447.67Pinus nigra seedGermany60
25728FCOSCF. concoloreCBS 463.91HumanGermany25
26360FOSCFOSC clade 1FRC O-0755Human eyeTennessee4, 51, 58
26421GFSCF. nygamaiCBS 140.95HumanEgypt36
28008FSSCFSSC 29-aCDC B-4701Human eyeAlabama56
28009FSSCFSSC 15-aCDC B-5543Human eyeTexas56
28029FIESCFIESC 3-bCDC B-3335Human eyeCalifornia57
28541FSSCFSSC 26-aUTHSC 98-1305HumanConnecticut56
28546FSSCFSSC 1-aUTHSC 98-853Human eyeMassachusetts56
31158FSSCFSSC 18-aMDA 1HumanTexas56
31169FSSCFSSC 25-aMDA 12HumanTexas56
32309FSSCFSSC 12-dUTHSC 00-1608HumanMassachusetts56
32434FSSCFSSC 16-b (F. lichenicola)CBS 623.92HumanGermany56, 76
32437FSSCFSSC 28-aCBS 109028HumanSwitzerland56
32522FIESCFIESC 18-bLoyola W-14182Human diabetic cellulitisIllinois57
32755FSSCFSSC 9-aFRC S-0452TurtleFlorida56
32864FIESCFIESC 17-aFRC R-7245HumanTexas57
32865FIESCFIESC 21-bFRC R-8480Human endocarditisBrazil57
32866FIESCFIESC 23-aFRC R-8822Human cancer patientTexas57
32868FIESCFIESC 25-cFRC R-8880Human bloodTexas57
32997FIESCFIESC 7-aUTHSC 99-423Human toenailColorado57
34002FIESCFIESC 22-aUTHSC 95-1545Human ethmoid sinusTexas57
34003FIESCFIESC 20-aUTHSC 95-28Human sputumTexas57
34004FIESCFIESC 16-aUTHSC 94-2581Human BAL fluidTexas57
34005FIESCFIESC 24-aUTHSC 94-2471Human intravitreal fluidMinnesota57
34006FIESCFIESC 15-aUTHSC 93-2692Human eyeTexas57
34016FCSCFCSC 2-aUTHSC 98-2537Human legTexas57
34032FIESCFIESC 5-aUTHSC 98-2172Human abscessTexas57
34033FSASCF. brachygibbosumUTHSC 97-99Human foot cellulitisTexas57
34036FTSCFTSC Fusarium sp. 1UTHSC 01-1965Human ethmoid sinusColorado57
36140FDSCF. dimerumCBS 108944Human bloodNetherlands70
36147FTSCF. acuminatumCBS 109232Human bronchial secretionUnknown57
36160FDSCF. delphinoidesCBS 110140Human eyeFlorida70
36185FDSCFDSC Fusarium sp. 5CBS 110312Human sinusWashington70
37393FDSCFDSC Fusarium sp. 2FRC E-0105Human eyeSri Lanka70
37625FSSCFSSC 27-aCBS 518.82HumanNetherlands56
43433FSSCFSSC 2-aCDC 2006011214Human eyeOhio56
43441FSSCFSSC 3 + 4-a (F. falciforme)CDC 2006743414Human eyePennsylvania56, 76
43467FSSCFSSC 8-a (Fusarium sp.)fCDC 2006743430Human eyeLouisiana56
43468FSSCFSSC 5-aCDC 2006743431Human eyeIowa56
43489FSSCFSSC 6-aCDC 2006743456Human eyeMaryland56
43498FIESCFIESC 8-bCDC 2006743466Human eyePennsylvania57
43502FSSCFSSC 7-aCDC 2006743470Human eyeTennessee56
43608GFSCF. verticillioidesUTHSC 03-2552Human peritoneal fluidMinnesota7, 75
43610GFSCF. fujikuroiUTHSC 06-836Human skinIowa11
43617GFSCF. proliferatumUTHSC 03-60Human bloodColorado6, 50, 61, 75
43629FCSCFCSC 1-bUTHSC 05-3200Human bloodUtah57
43631FCSCFCSC 3-aUTHSC 05-2441Human legTexas57
43635FIESCFIESC 13-aUTHSC 06-638HorseNebraska57
43636FIESCFIESC 14-c (F. equiseti)UTHSC 06-170DogTexas57
43639FIESCFIESC 19-aUTHSC 04-135ManateeFlorida57
43640FIESCFIESC 1-aUTHSC 04-123Dog noseTexas57
43641FSASCF. armeniacumUTHSC 06-1377Horse eyeMissouri57
43694FIESCFIESC 6-aCDC 2006743607Human eyeTexas57
44901GFSCF. sacchariSSGH NC1Human fingerItaly6, 24
45999FTSCF. flocciferumUTHSC 06-3449Human scalpCalifornia57
46703FSSCFSSC 34-aFMR 8281NematodeSpain56
46707FSSCFSSC 35-aFMR 8030Human eyeBrazil56
53131GFSCF. ananatumSSGH VNHuman fingerItaly31, 45
54126GFSCF. acutatumFMR 8379Human footQatar79
54147FTSCFTSC Fusarium sp. 2CM 3913Human pericardic fluidSpain1; this study
54158GFSCF. subglutinansIUM 96-4102Human bloodItaly82
Open in a separate windowaFCSC, Fusarium chlamydosporum species complex; FCOSC, F. concolor species complex; FDSC, F. dimerum species complex; FIESC, Fusarium incarnatum-F. equiseti species complex; FLSC, F. lateritium species complex; FOSC, F. oxysporum species complex; FSASC, F. sambucinum species complex; FSSC, F. solani species complex; FTSC, F. tricinctum species complex; GFSC, Gibberella (Fusarium) fujikuroi species complex.bArabic numerals identify species within species complexes; lowercase roman letters identify a unique haplotype within species (55, 56).cATCC, American Type Culture Collection, Manassas, VA; BBA, Biologische Bundesanstalt für Land-und Forstwirtschaft, Institute für Mikrobiologie, Berlin, Germany; CBS-KNAW, Centraalbureau voor Schimmelcultures—Fungal Biodiversity Center, Utrecht, Netherlands; CDC, Centers for Disease Control and Prevention, Atlanta, GA; CM, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain; FMR, Facultat de Medicina i Ciències de la Salut, Reus, Spain; FRC, Fusarium Research Center, The Pennsylvania State University, State College, PA; IMI, CABI Biosciences, Egham, Surrey, England; IUM, Università degli Studi di Milano, Milan, Italy; Loyola, Loyola University, Maywood, IL; MDA, M. D. Anderson Cancer Center, Houston, TX; SSGH, Sesto San Giovanni Hospital, Milan, Italy; UTHSC, University of Texas Health Sciences Center, San Antonio, TX.dFOSC clades as reported by O''Donnell et al. (52).eReported as Fusarium polyphialidicum, a later synonym of F. concolor (25).fFSSC 8 represents the homothallic species Neocosmospora vasinfecta, which produces an undescribed Fusarium anamorph (49).gBAL, bronchoalveolar lavage.Although GCPSR-based studies have revealed extensive cryptic speciation across the phylogenetic breadth of the genus and within other medically (9, 10, 33, 35, 65) and agriculturally important fungi (reviewed in references 21, 80, and 81), the level of cryptic speciation was especially pronounced within the Fusarium solani species complex (FSSC) (49, 56, 85) and F. incarnatum-F. equiseti species complexes (FIESC) (57). These two species complexes collectively harbor at least 75 species, including 41 associated with mycotic infection of humans and other animals. Multilocus DNA sequence data have proven to be essential for accurately circumscribing species boundaries within Fusarium and also have demonstrated utility in identifying epidemiologically important multilocus haplotypes, such as the widespread F. oxysporum clonal lineage (F. oxysporum species complex 3-a [FOSC 3-a], sequence types [ST] 33, 51, and 58) and FSSC 1-a and 2-d, which appear to be common in water systems (43, 54), including those of hospitals, where they pose a significant risk for nosocomial infections (2, 58).Given the importance of fusaria to medicine, veterinary science, and agriculture, it is not surprising that diverse molecular methods for their identification have been published. The majority of these methods target the nuclear ribosomal internal transcribed spacer (ITS) region (30, 37, 67, 73) or domains D1 and D2 of the nuclear small-subunit ribosomal DNA (rDNA) (27, 28) as markers. Unfortunately, these methods were developed in reference to Fusarium morphospecies concepts, which greatly underestimate the species diversity reported herein based on GCPSR. Moreover, rDNA loci are too conserved to distinguish many closely related human pathogenic fusaria (8, 13, 54). Fortunately, recently published multilocus molecular phylogenetic studies of Fusarium have revealed that certain protein-encoding genes contain a wealth of phylogenetic signal (19, 53, 54, 56, 57, 70, 85). It is reasonable to assume that the genetic diversity of clinically and veterinarily relevant fusaria will continue to expand, whereas phenotypic methods will remain woefully inadequate for yielding accurate species-level identifications for over two-thirds of the fusaria encountered in the clinical laboratory. In response to this growing need for accurate species identification, the present study was initiated with the aim of developing a comprehensive DNA sequence database that includes a representative of all presently known human/animal pathogenic Fusarium species identified previously using GCPSR.Toward this end, a three-locus DNA sequence database for all known human opportunistic/pathogenic fusaria (i.e., 69 species) was developed to meet the following four objectives: (i) determine the utility of single- and multilocus DNA sequence data (EF-1α, RPB1, and RPB2) for accurately identifying clinically important fusaria to species level, including partial sequence data from the DNA-directed RNA polymerase largest subunit (RPB1), which is used here for the first time for phylogenetic inference within Fusarium; (ii) investigate the phylogenetic diversity and evolutionary relationships of mycosis-associated fusaria; (iii) provide an Internet-accessible, three-locus database for accurately identifying and placing novel etiologic agents of fusarioses within a precise phylogenetic framework as they are encountered in the clinical microbiology laboratory; and (iv) archive a duplicate set of isolates at the CBS-KNAW in Europe and the ARS (NRRL) Culture Collection in the United States that is readily accessible to various research groups wanting to pursue further research on this topic. This Fusarium database, together with alignments and the corrected sequence chromatograms, will be incorporated into the FUSARIUM-ID database accessible via the Web at Pennsylvania State University (http://isolate.fusariumdb.org) and the Centraalbureau voor Schimmelcultures (CBS) Biodiversity Centre (http://www.cbs.knaw.nl/fusarium) to facilitate global identifications via the Internet and to promote cooperation and coordination in documenting and sharing the diversity and occurrence of clinically relevant fusaria.  相似文献   

2.
3.
Of 104 genotypically diverse methicillin-resistant Staphylococcus aureus (MRSA) isolates tested with the MicroScan WalkAway (Pos MIC 24 panel) and Vitek 2 (AST-P549 card) systems, 7 and 6 isolates, respectively, showed an oxacillin MIC of ≤2mg/liter. Most of these MRSA isolates were community acquired. However, if the cefoxitin screen of AST-P549 was also considered, MRSA detection failed for only one isolate.The prevalence of methicillin-resistant Staphylococcus aureus (MRSA) has increased over the last years. Reliable detection of MRSA is important since a false report of a patient''s isolate as methicillin susceptible would result in inadequate therapy with probably fatal consequences (2). Whereas MRSA infections formerly occurred almost exclusively in hospitalized patients, community-acquired MRSA (cMRSA) isolates have been reported recently in patients without any previous contact with the health care system (7).Many laboratories rely on automatic susceptibility testing methods that use oxacillin MIC testing, oxacillin breakpoint detection in the presence of salt, or cefoxitin MIC testing as markers for the presence of methicillin resistance. Many studies have investigated the detection of MRSA by the Vitek 2 system (3, 4, 8, 11, 12, 13, 15, 17); however, data for the performance of the MicroScan WalkAway system in MRSA detection are scarce (17).Most studies evaluating the performance of Vitek 2 used consecutive clinical strains (3, 8, 11, 12, 15), but this approach may be biased by the overrepresentation of locally predominant clones and may not predict performance in other geographical areas. We therefore used a collection of MRSA strains with distinct pulsed-field gel electrophoresis (PFGE) patterns to study MRSA detection using the MicroScan WalkAway and Vitek 2 systems.From 1998 to 2006, noncopy MRSA isolates (n = 1,516), initially identified by oxacillin screening agar or Vitek, from four hospitals in the Bochum area were collected and typed by PFGE as described previously (5). Of these, 120 isolates with different PFGE patterns were chosen. The patterns were interpreted according to the criteria of Tenover et al. (18), and isolates grouped into PFGE types and subtypes.For susceptibility tests, isolates from frozen storage were subcultured twice on Columbia blood agar at 37°C in 5% CO2 before being tested with the Vitek 2 system using the AST-P549 card and the MicroScan WalkAway system using the Pos MIC 24 panel.Whenever results for oxacillin in the Vitek 2 or MicroScan WalkAway system or for the cefoxitin screen in the Vitek 2 system were not indicative of MRSA, a mecA PCR was performed from colonies growing on purity control plates of both automatic systems and a S. aureus-specific PCR for SA442 (16) was used as an internal positive control. In addition, the Panton-Valentine leukocidin (PVL)-coding genes lukS-PVL and lukF-PVL were detected by PCR (9). SCCmec typing (10) and spa typing (6) were performed as described previously.Loss of mecA during storage of isolates could be demonstrated in 16 of 120 isolates by PCR (14), a proportion that is similar to that described before (19). Of the remaining 104 true MRSA isolates, 95 were detected as MRSA with both automatic systems.An oxacillin MIC of ≤2 mg/liter was measured for six isolates with the Vitek 2 test and for seven isolates with the WalkAway test (Table (Table1);1); thus, those isolates would not have been detected as MRSA based on oxacillin MICs alone. Microdilution performed according to CLSI methods (1) showed resistant oxacillin MICs for all but one of these isolates, whereas by Etest on Mueller-Hinton agar with 2% NaCl, oxacillin MICs of ≥4 mg/liter were found for only two isolates. Microcolonies were the only indication for MRSA in most of the remaining strains, demonstrating the challenge of detecting MRSA in those isolates. The cefoxitin screen incorporated in the Vitek 2 AST-P549 card was positive for five of six isolates not detected by oxacillin MIC. Thus, cefoxitin testing together with oxacillin MIC testing clearly leads to better MRSA detection. Cefoxitin MICs of ≥16 mg/liter and ≥4 mg/liter were also found by microdilution and Etest.

TABLE 1.

All test results for MRSA isolates with negative cefoxitin screen in Vitek 2 or oxacillin MIC of ≤2 mg/liter in Vitek 2 or MicroScan WalkAway assaya
IsolateCefoxitin screen in Vitek 2MIC (mg/liter) of:
PFGE typespa typePVLSCCmec typeResistance phenotype(s)
Oxacillin in Vitek 2Oxacillin in WalkAwayOxacillin by EtestOxacillin by microdilutionCefoxitin by EtestCefoxitin by microdilution
877+2>26*>168*>1616-3t044IVCIP
1459+224*166*1627-1t044+IVERY, TET, FA
1662+>221.5*164*>1627-0t040+IVTET, FA
1883+221*>168*>1646-1t105+ntCIP, GEN
2336221*>168*>1613-13t4861ntERY, SXT, TET, CIP, FA, SXT
2449+220.5168>1627-5t044+IVERY, TET, FA
2582+10.50.125*0.56*1644-12t4860IVCIP
2748>2>21.5*1641613-4t008IVERY, CIP, FOF
2757+>220.5*88*1653-0t355+VGEN, ERY
Open in a separate windowa*, microcolonies visible; nt, not typeable; CIP, ciprofloxacin; ERY, erythromycin; TET, tetracycline; FA, fusidic acid; GEN, gentamicin; SXT, sulfamethoxazol-trimethoprim; FOF, fosfomycin.Intentionally, no proportions of failed MRSA detection in relation to all MRSA isolates tested are given in this study because such figures would be misleading, since in our collection, rarely occurring strains are overrepresented. The nine isolates with problematic MRSA detection with either the Vitek 2 or WalkAway system were from PFGE subgroups that represent only 1.2% of our MRSA strain collection. MRSA detection was not problematic for most of the PFGE groups studied, especially not for PFGE group 35, which appeared in 2001 and accounted for 56.5% of all MRSA isolates in 2006.In previous studies using older Vitek cards without a cefoxitin screen, 27 of 27 (11), 195 of 197 (12), 18 of 18 (3), 61 of 61 (8), and 202 of 203 (15) MRSA isolates were detected by Vitek 2. The better performance in those studies compared to our work is explainable since consecutive isolates were used in those, whereas in our study, high genetic diversity was secured and rarely occurring PFGE types were intentionally overrepresented. When challenge strains were used in previous studies, MRSA detection failed in 5 of 85 (4) and 7 of 79 (17) isolates. The latter study (17) is the only one examining MRSA detection by the MicroScan WalkAway system, and it found misclassification as methicillin susceptible for 9 of 79 MRSA challenge strains. In a recent study using the Vitek 2 system with the AST-P549 card, MRSA detection failed for 4 of 157 MRSA strains (13).In four of the nine isolates with problematic MRSA detection results, a combination of PVL and SCCmec type IV or V was found, typical for cMRSA. Two additional isolates had spa types t044 and t008, which are associated with cMRSA of clonal lineages ST80 and ST8. Low-level oxacillin resistance in cMRSA isolates of clonal lineage ST80 has been reported previously by Witte et al. (20).The emergence of cMRSA requires reliable detection of methicillin (meticillin) resistance in this pathogen and argues for an additional cefoxitin screen in automatic susceptibility testing.Since all cMRSA isolates in our study showed an increased oxacillin MIC of ≥2 mg/liter with both automatic systems, an expert rule could also be programmed to recommend additional testing for isolates with a MIC of ≥2 mg/liter. As we did not test methicillin-susceptible isolates in our study, we do not know if such an expert rule would result in an unacceptably high number of unnecessary additional tests.In conclusion, the majority of MRSA isolates from our area can be detected by oxacillin MIC determination either with the AST-P549 card in the Vitek 2 system or with the Pos MIC 24 panel in the WalkAway MicroScan system. However, some cMRSA isolates can be missed by using an oxacillin MIC threshold of ≥4 mg/liter alone.  相似文献   

4.
Microsatellite-based genotyping for Candida albicans can give discrepant results between laboratories when expressed in fragment sizes, because their determination depends on electrophoretic conditions. The interlaboratory reproducibility was assessed in six laboratories provided with an allelic ladder. Despite variations in size determinations, alleles were correctly assigned, making data transportable between laboratories.Candida albicans is a diploid yeast responsible for a wide range of fungal infections in both immunocompetent and immunocompromised individuals. It is the most frequent fungal species involved in recurrent infections, outbreaks, and nosocomial infections (18). Genotyping of C. albicans can be performed using fluorescence-based microsatellite length polymorphism (MLP) analysis of PCR-amplified DNA fragments (2, 4, 5, 9, 11, 20, 21). Microsatellite sequences are defined as tandemly repeated stretches of 1 to 6 nucleotides and are excellent candidates for genetic analysis as they are polymorphic. Microsatellite alleles are often expressed as DNA fragments of different sizes obtained after PCR amplification with primers flanking the microsatellite region (22). Based on the variations in repeat numbers, genetic relatedness between different isolates can be assessed.MLP analysis is a method with a high discriminatory power and reproducibility, and it allows high throughput. It has proved its efficacy in genotyping large collections of samples in epidemiological studies of not only C. albicans but also other yeasts, such as Candida glabrata (10, 13), Candida tropicalis (6), and filamentous fungi, such as Aspergillus fumigatus or Penicillium marneffei (1, 7, 17). However, interlaboratory exchange of microsatellite data can be difficult, because the use of different equipment and diverse capillary electrophoresis conditions can lead to altered assessment of PCR fragment lengths. In the past, calibration by means of allelic ladders was applied for the analysis of population data (12, 14, 19, 23). More recently, de Valk et al. (8) produced locus-specific allelic ladders for the microsatellite-based analysis of Aspergillus fumigatus and tested its utility for assigning allele sizes in an interlaboratory study. In order to normalize C. albicans microsatellite results, we developed an allelic ladder that includes the most frequently occurring alleles of the CDC3 polymorphic microsatellite marker (2). Our objective was to test interlaboratory genotyping results by using the allelic ladder as an internal reference for a given marker.First, the allelic ladder for the tetranucleotide repeat (AGTA) CDC3 marker was constructed. Seven alleles in C. albicans were identified in our previous studies (2, 11). Genomic DNA of isolates known to contain the different alleles was extracted using the High Pure PCR template preparation kit as described by the manufacturer (Roche Applied Biosciences, Germany). Alleles were amplified in single-plex PCRs in a 20-μl reaction volume, consisting of 2 μl DNA, 1× PCR buffer (Roche Diagnostics GmbH, Mannheim, Germany), 0.2 mM each deoxynucleoside triphosphate, 5 mM MgCl2, and 5 pmol of each CDC3 primer, with the sense primer labeled with hexachlorocarboxyfluorescein (HEX) (2) and 1.25 U of Taq Gold polymerase (Applied Biosystems, les Ulis, France). PCR was performed in an iCycler thermocycler (Bio-Rad, Hercules, CA) and consisted of an initial denaturation step at 95°C for 10 min, followed by 30 cycles of 30 s at 95°C, 30 s at 55°C, and 1 min at 72°C, with a final extension step of 30 min at 72°C. PCR products were then pooled in equivalent volumes, and 2 μl of this allelic pool was added to 13.5 μl of Hi-Di formamide (Applied Biosystems) and 0.5 μl 6-carboxy-X-rhodamine (ROX)-labeled Geneflo 625 size standard (Eurx, Gdansk, Poland). Capillary electrophoresis of the allelic ladder was performed using the ABI Prism 3730XL sequencer (Fig. (Fig.1).1). Sizes of the seven alleles were calculated with GeneMapper (version 4; Applied Biosystems). Reproducibility was tested in 10 separate experiments that resulted in allele size variation of ≤0.08 nucleotides for the seven alleles.Open in a separate windowFIG. 1.Example of allele assignment using the CDC3 allelic ladder for two isolates, numbers 22 and 15. Allele peaks in the ladder (black lines) are marked as p1 to p7. GeneFlo 625 internal size standards (black filled peaks) with sizes in bp are shown beneath each peak. Isolate 15 is p2-p5 heterozygous, and isolate 15 is p4 homozygous.The CDC3 ladder (10 μl) was sent to six participating laboratories with previous experience in MLP analysis. The National Reference Center for Mycoses and Antifungals (NRCMA) also provided five C. albicans DNA samples of known CDC3 genotypes (DNA samples 1 to 5) and the CDC3 primers (2). To test the influence of the DNA extraction method, each participant laboratory selected five isolates from their own strain collection, extracted the genomic DNA, and performed MLP genotyping on these samples (samples 6 to 35). The 35 DNA samples were sent to the NRCMA for blind MLP analysis.Participants were made aware of the number of allele peaks identified in the ladder (one to seven) and were asked to perform MLP using the NRCMA''s PCR amplification/cycling conditions and their own equipment and reagents (Table (Table1).1). For each DNA sample, genotyping results were expressed as peak numbers (1 to 7), and fragment sizes were expressed in bp. As shown in Table Table2,2, reported fragment sizes varied between the laboratories, with size differences of up to 4.3 bp. However, upon comparing the results to the allelic ladder, all laboratories correctly assigned peak numbers to the five DNA samples.

TABLE 1.

Conditions and equipment used by NRCMA and the six participant teams
LaboratoryDNA extraction method (source or reference)DNA polymerase (source)Thermocycler (manufacturer)Size standard (source)Software (manufacturer)Capillary electrophoresis instrument (manufacturer)
NRCMADNA EasyPlant (Qiagen)Taq (Roche)iCycler (Bio-Rad)Geneflo625 (EurX)GeneMapper version 4 (Applied Biosystems)ABI 3730 XL (Applied Biosystems)
Lab 1Ultraclean microbial DNA isolation kit (MoBio)Taq (Roche)ABI 9700 (Applied Biosystems)ABI GS500 (Applied Biosystems)GeneMapper version 2.1 (Applied Biosystems)ABI 3130 (Applied Biosystems)
Lab 2MagnaLyser/MagNA Pure (Roche)FastStart (Roche)T1 (Biometra)ET400-R (GE Healthcare)Fragment profiler (GE Healthcare)MegaBACE 500 (GE Healthcare)
Lab 3Manual (15)Go Taq (Promega)TC 412 (Techne)ROX 500 (Applied Biosystems)Peak Scanner (Applied Biosystems)CEQ 8800 (Beckman Coulter)
Lab 4Manual (16)Taq (Fermentas)iCycler (Bio-Rad)TAMRA 500 (Applied Biosystems)GeneScan version 3.1 (Applied Biosystems)ABI 310 (Applied Biosystems)
Lab 5Boiling with chelating resin (Chelex)Eurobiotaq (Eurobio)PTC 100 (MJ Research)GeneScan 500 LIZ (Applied Biosystems)GeneMapper version 4.0 (Applied Biosystems)ABI 3130 (Applied Biosystems)
Lab 6Manual (3)AmpliTaq (Applied Biosystems)GeneAmp PCR system 9700 (Applied Biosystems)ROX 500 (Applied Biosystems)GeneMapper version 3.0 (Applied Biosystems)ABI 3730 XL (Applied Biosystems)
Open in a separate window

TABLE 2.

Genotyping results for the five DNA samples based on CDC3 ladder peak number and fragment size
LaboratoryFragment size (bp) for indicated allele and peak no.a
Sample 1
Sample 2
Sample 3
Sample 4
Sample 5
Allele 1 (peak 5)Allele 2 (peak 6)Allele 1 (peak 1)Allele 2 (peak 4)Allele 1 (peak 1)Allele 2 (peak 3)Allele 1 (peak 2)Allele 2 (peak 6)Allele 1 (peak 3)Allele 2 (peak 6)
NRCMA130.6134.5115.4127.1115.4123.5119.5134.5123.5134.5
Lab 1128.0132.0112.0124.0112.0120.0116.0132.0120.0132.0
Lab 2132.2136.1115.9128.3115.9124.2120.1136.1124.2136.1
Lab 3129.2133.2112.9124.8113.5120.8117.5133.2120.8133.2
Lab 4129.0133.0114.0125.0114.0121.0118.0133.0121.0133.0
Lab 5130.0134.0114.0126.0114.0122.0118.0134.0122.0134.0
Lab 6129.0133.0113.0125.0113.0121.0117.0133.0121.0133.0
Open in a separate windowaThe peak numbers represent the allele peaks in the CDC3 allelic ladder. Genotypes were identical for all the participant laboratories and the NCRMA. Peak 7 was not present in the DNA isolates tested.The influence of DNA extraction method on allele assignment was assessed using DNA samples provided by the participating laboratories. For every DNA sample supplied (samples 6 to 35), the allele assignations by the participating laboratory and the NCRMA were identical based on the peak number (data not shown). Therefore, the DNA extraction method does not seem to interfere with allele assignment.Although reproducibility for a given capillary electrophoresis platform is high, according to previous reports (2, 8, 20), we demonstrated here that DNA fragment size determinations differed between laboratories due to differences in equipment, separation matrices, size standards, and software. However, the application of the C. albicans CDC3 ladder as an internal standard allowed the correct allele assignment for the samples provided, and there was excellent agreement between the NRCMA and the participating laboratory for unknown DNA samples. The demonstration here is for one C. albicans marker only. The question of how many loci should be tested depends on the objectives. For some issues, a single locus may be sufficient. If a high discriminatory power is needed, several markers can be analyzed (2, 20). Following the same principle, allelic ladders could be designed for these additional microsatellite markers.In conclusion, once primers and fluorescent labels have been designed for microsatellite-based typing systems, the use of an allelic ladder is an important asset that allows standardization of results and transfer and comparison of data between laboratories.  相似文献   

5.
The efficacy of anidulafungin, an echinocandin antifungal agent with potent anti-Candida activity, in treating esophageal candidiasis was tested in a double-blind study versus oral fluconazole. Isolates were identified and tested for susceptibility. Candida albicans represented >90% of baseline isolates. The MIC90 of anidulafungin for all strains was 0.06 mg/liter.Anidulafungin is an echinocandin antifungal agent with broad-spectrum activity against Candida species (2, 12, 13, 17, 19, 20), including fluconazole-resistant strains (10, 16); concentration-dependent fungicidal activity; and a long postantifungal effect in vitro and in animal infection models (1, 6, 7, 10, 16, 18). It is available in the United States for intravenous treatment of esophageal candidiasis, a debilitating opportunistic infection among persons with HIV infection (9) for which cross-resistance among azoles may limit treatment options (4, 14). In patients treated with the anidulafungin dosage regimen for esophageal candidiasis (100-mg loading dose followed by 50 mg daily, half of the dosage used for invasive candidiasis), the steady-state mean maximum and minimum plasma concentrations were 4.2 and 1.6 μg/ml, respectively (Eraxis US package insert). Thus, anidulafungin may be a useful alternative to both amphotericin B and the azole antifungal agents in treating severe oral and esophageal candidiasis in persons with HIV infection and AIDS. We determined the in vitro activity of anidulafungin against clinical isolates of Candida spp. from esophageal candidiasis patients, most of them HIV infected, enrolled in a large (601 patients) phase 3 randomized, comparative, double-blind, double-dummy clinical study. The comparator was oral fluconazole, 200 mg administered on day 1 followed by 100 mg daily for 14 to 21 days.Candida isolates obtained from endoscopic biopsy specimens or brushings (11) were sent to a reference laboratory for identification, using standard methods (8), and susceptibility testing. Standard antifungal powders included anidulafungin (Vicuron, Inc., King of Prussia, PA), fluconazole (Pfizer, New York, NY), voriconazole (Pfizer), caspofungin (Merck, Whitehouse Station, PA), flucytosine (Sigma, St. Louis, MO), amphotericin B (Sigma), and itraconazole (Janssen, Beerse, Belgium). Preparation of stock solutions and broth microdilution susceptibility testing were as detailed in CLSI document M27-A2 (5, 15) for all agents except amphotericin B (tested in antibiotic medium 3). Incubation at 35°C was for 24 h (echinocandins) and 48 h (azoles, amphotericin B, and flucytosine). MICs, determined using a reading mirror, were defined as a prominent decrease in turbidity (ca. 50%), except for amphotericin B (complete growth inhibition).Overall, 96% of patients in both treatment arms were infected with C. albicans at baseline, with or without additional Candida species. A majority of the non-C. albicans species isolated at baseline were present in mixed infection with C. albicans. The predominance of C. albicans is characteristic of esophageal candidiasis (3). A total of 441 unique baseline isolates were received by the reference laboratory, including 411 of Candida albicans, 23 of Candida glabrata, 3 of Candida tropicalis, 2 of Candida krusei, and one isolate each of Candida pelliculosa and Candida lusitaniae.Anidulafungin had potent activity against these isolates (Table (Table1).1). Its MIC90 was 0.06 μg/ml, and 99% of strains were inhibited by 0.12 μg/ml. The MIC distribution for caspofungin was similar. Micafungin was not available for testing at the time at which the study was conducted. For all of the azoles, susceptibility was greater than 90%. The MIC50/90 of fluconazole for the 23 C. glabrata isolates was 8/16 μg/ml, respectively. Fluconazole-resistant strains included 3 of C. albicans and 1 of C. glabrata (MIC, ≥64 μg/ml) as well as the 2 of C. krusei (considered resistant irrespective of MIC). The MIC range of anidulafungin for these 6 isolates was 0.015 to 0.06 μg/ml. As noted previously, there is no cross-resistance between azoles and echinocandins (10, 13, 20).

TABLE 1.

In vitro susceptibilities of 441 esophageal isolates of Candida spp. to anidulafungin and six other systemically active antifungal agents
Antifungal agentCumulative % inhibited at the following MIC (μg/ml):
≤0.0070.0150.030.060.120.250.51248≥16
Anidulafungin2452819799.8100
Caspofungina6247599100
Fluconazole36829092939497100
Voriconazole7185919395989999.899.8100
Itraconazole120789193959899.899.899.8100
Flucytosine959778291939494969898100
Amphotericin B0.51698100
Open in a separate windowaCaspofungin was tested against 404 isolates.As reported previously, the overall clinical and mycological efficacy of anidulafungin, evaluated at the end of therapy, was noninferior to that of fluconazole (11). Eradication of Candida from the esophagus was either proven by a negative culture at the time of evaluation or presumed on the basis of endoscopic improvement with no culture obtained (e.g., if there were no lesions to be cultured). On a per-patient basis, which requires eradication of all baseline pathogens from a patient, mycological success rates were 87 and 91% for anidulafungin and fluconazole, respectively (11). Among the Candida isolates tested at the reference laboratory, there were too few in the fluconazole treatment arm that were fluconazole resistant or, in the anidulafungin arm, that had anidulafungin MICs of >0.06 μg/ml to permit correlation between eradication of individual isolates and level of susceptibility. Currently, attempts are under way to rationalize susceptibility breakpoints for echinocandins (21, 22). These analyses are based on the dosage utilized for the treatment of invasive candidiasis, which, in the case of anidulafungin, is twice that used in the treatment of esophageal candidiasis.In conclusion, characterization of Candida esophageal isolates from a large clinical trial confirmed the potent in vitro activity of anidulafungin against both susceptible and fluconazole-resistant isolates seen in previous nonclinical studies. When evaluated at the end of therapy, anidulafungin and fluconazole had similar efficacies in eradicating infecting organisms from esophageal lesions.  相似文献   

6.
Insertion sequence IS900 is used as a target for the identification of Mycobacterium avium subsp. paratuberculosis. Previous reports have revealed single nucleotide polymorphisms within IS900. This study, which analyzed the IS900 sequences of a panel of isolates representing M. avium subsp. paratuberculosis strain types I, II, and III, revealed conserved type-specific polymorphisms that could be utilized as a tool for diagnostic and epidemiological purposes.The insertion sequence IS900 (13) is one of the 20 members of the IS110 family and is considered to be unique to Mycobacterium avium subsp. paratuberculosis, although IS900-like sequences have been found rarely in other environmental mycobacteria (9, 12). IS900 is present in multiple copies (14-18) within the M. avium subsp. paratuberculosis genome (13) and therefore is an ideal target for identification (16, 31). The heterogeneity of M. avium subsp. paratuberculosis isolates based on the number of IS900 copies and their positions within the genome has been exploited for epidemiological purposes. The IS900 sequence has been used in different molecular techniques such as multiplex PCR and restriction fragment length polymorphism analysis with hybridization to IS900, leading to the identification of individual strains and the classification of M. avium subsp. paratuberculosis into strain types (3, 17, 19, 30).M. avium subsp. paratuberculosis strains have been divided into three clusters named type I (also called sheep [S] strains), type II (also called cattle [C] strains), and type III (also called intermediate strains), although some of the studies include types I and III in the S type (8, 35). This classification into three clusters is based on results from molecular characterization techniques such as restriction fragment length polymorphism analysis with hybridization to IS900 (19), pulsed-field gel electrophoresis (PFGE) (11, 29), PCR-restriction enzyme analysis (PCR-REA) of gyrB (5), PCR-REA of inhA (6), PCR and denaturing gradient gel electrophoresis analyses of MAP1506 (14), PCR sequencing of recF (31), and comparative genomic hybridization analyses (4). The genotypic and phenotypic dissimilarities among types of M. avium subsp. paratuberculosis may be reflected in the differences detected in the progression of paratuberculosis or Johne''s disease among infected herds (33, 34).Comparisons of IS900 sequences from different M. avium subsp. paratuberculosis isolates with the published genome sequence of M. avium subsp. paratuberculosis strain K-10 have revealed single nucleotide polymorphisms (SNPs) (2, 20, 21, 23, 24, 27, 28, 35, 36) (Table (Table1)1) .

TABLE 1.

Previously described SNPs in the 5′ fragments of IS900 sequences relative to the M. avium subsp. paratuberculosis K-10 genome sequencea
ReferenceStrain typeGeographic originHost(s) or sourceMolecular techniqueSNPPosition (bp)GenBank accession no.
Bhide et al., 2006 (2)Cattle crossbreed BosindicusSSCPb analysisNo nucleotide (instead of A)284AY974345
CattleSSCP analysisNo nucleotide (instead of A)284AY974346
CG (instead of GC)367-368
SlovakiaSlovak Valachian sheepSSCP analysisC (instead of G)232AY974348
T (instead of A)243
CG (instead of GC)367-368
Pickup et al., 2005 (20)United KingdomRiver waterSequencingG (instead of A)214c
A/G214c
Pickup et al., 2006 (21)United KingdomRiver waterSequencingG (instead of A)216
A/G216
Semret et al., 2006 (24)SSheepSequencingT/C (with a C small peak)169
SSheepSequencingG/A (with an A small peak)216
Scanu et al., 2007 (23)ItalyHumans, Sardinian sheepSequencingC/T (with a T small peak)247d
Sivakumar et al., 2005 (27)IndiaBuffaloSequencingNo nucleotide (instead of G)688AY660657
Extra C722
T (instead of A)899
IndiaGoatsSequencingG (instead of A)422AY660658
No nucleotide (instead of G)688
Extra C722
Sohal et al., 2009 (28)BisonIndiaJamunapari goatsSequencingExtra A421eEF514832
Willemsen et al., 1999 (36)Bovine316F vaccineSequencingExtra GC35-36AF416985
GC (instead of CG)119-120
Whittington et al., 2001 (35)SAustraliaSheepSequencingG (instead of A)216
Open in a separate windowa−, no information was provided in the reference.bSSCP, single-strand conformational polymorphism.cThe SNP corresponds to position 216 in the IS900 sequence.dThe SNP was reported to occur at bp 247, but according to the published IS900 sequence of M. avium subsp. paratuberculosis K-10 (GenBank accession no. AE 016958), corresponds to bp 244.eThe observed SNP is relative to the IS900 sequence at locus 17 of M. avium subsp. paratuberculosis K-10.Of special interest are the results reported by Semret et al. (24), who observed major variance in the IS900 sequences in M. avium subsp. paratuberculosis S strains (classification into type I or III was not indicated in the study) compared to the IS900 sequences in C strains.The aim of this research was to follow up these findings and to analyze the IS900 sequences from a panel of type I, II, and III M. avium subsp. paratuberculosis isolates to establish the degree of nucleotide identity among them and the relationship between M. avium subsp. paratuberculosis types and IS900 sequence profiles.For this purpose, we selected 33 isolates of M. avium subsp. paratuberculosis types I, II, and III from separate geographical locations throughout Spain, Scotland, and Denmark (Table (Table2).2). Every isolate was cultured and identified as M. avium subsp. paratuberculosis by PCRs directed to the gene F57 (22) (using primers F57-F, 5′ CCCGATAGCTTTCCTCTCCT 3′, and F57-R, 5′ GATCTCAGACAGTGGCAGGTG 3′ [7]). Additionally, the isolates were typed using a set of PCR-based assays, REA targeting IS1311 (15), PCR analysis of the genomic region described by Collins et al. (DMC) (8), analysis of large sequence polymorphism A20 (LSPA20) (25), and hsp65 sequencing (32) (Table (Table3).3). Then the isolates were classified as type I, II, or III by PFGE, PCR-REA of gyrB, or PCR-REA of inhA as described previously (5, 6, 10, 11).

TABLE 2.

Panel of M. avium subsp. paratuberculosis isolates used in this study
Isolate(s)Strain typeaHerd or flockHost (breed)Originb
21PIFlock ASheepFaroe Islands
235G, 208G, 213GIFlock BSheepShetland
M189IFlock CSheep (Finn)Midlothian
CAM 63IIHerd AGoats (Guadarrama)Navas del Rey, Madrid
CAM 72IIHerd BGoats (Guadarrama)Becerril de la Sierra, Madrid
464IIHerd CGoats (Guadarrama)Villa del Prado, Madrid
CAM 19IIHerd DGoats (Guadarrama)Chapineria, Madrid
CAM 20IIHerd EGoats (Guadarrama)Villamantilla, Madrid
574IIHerd FGoats (Murciano-Granadina)Ciudad Real, Castilla La Mancha
896, 940IIHerd GCattle (Bullfighting)Salamanca, Castilla y León
CAM 78IIIHerd HGoats (Guadarrama)Sta. Maria de Alameda, Madrid
CAM 40, CAM 38IIIHerd IGoats (Guadarrama)Robledo de Chavela, Madrid
CAM 86, CAM 87IIIHerd JGoats (Guadarrama)Robledo de Chavela, Madrid
MI07.01787-2IIIHerd KGoats (Guadarrama)Hoyo de Manzanares, Madrid
MI07.04010-2IIIHerd LGoats (Guadarrama)Valdemaqueda, Madrid
793, 404, 408IIIHerd MGoats (Murciano-Granadina)Toledo, Castilla La Mancha
619, 841, 634, MI06.00285-2, MI06.00286-2IIIHerd NCattle (Bullfighting)Albacete, Castilla La Mancha
MI07.06579-2, MI07.06582-2IIIHerd OCattle (Bullfighting)Ciudad Real, Castilla La Mancha
734, MI05.00897-2IIIHerd PCattle (Bullfighting)Salamanca, Castilla y León
MI06.01981-2IIIHerd QCattle (Holstein)Burgos, Castilla y León
Open in a separate windowaEvery isolate was classified as type I, II, or III by PFGE (10, 11), PCR-REA of gyrB (5), or PCR-REA of inhA (6).bGeographic distribution: Faroe Islands, Denmark; Shetland, northern Scotland; Midlothian, southeast Scotland; Madrid, central Spain; Castilla La Mancha, south central Spain; and Castilla y León, north central Spain.

TABLE 3.

Summary of PCR results and IS900 sequencing data obtained for isolates of M. avium subsp. paratuberculosis types I, II, and III
IsolateStrain typeResult for:
hsp65 codedSNP(s)e at bp:
F57DMCaIS1311bLSPA20c169216
21PI+SSf6CG
235GI+SSf6CG
208GI+SSf6CG
213GI+SSf6CG
M189I+SSf6CG
CAM 63II+CC+5CA
CAM 72II+CC+5CA
464II+CC+5CA
CAM 19II+CC+5CA
CAM 20II+CC+5CA
574II+CC+5CA
896II+CC+5CA
940II+CC+5CA
CAM 78III+SS6C/TA/G
CAM 40III+SS6C/TA/G
CAM 38III+SS6C/TA/G
CAM 86III+SS6C/TA/G
CAM 87III+SS6C/TA/G
MI07.01787-2III+SS6C/TA/G
MI07.04010-2III+SS6TG
793III+SSggC/TA/G
404III+SSgC/TA/G
408III+SS6C/TA/G
619III+SS6C/TA/G
841III+SS6C/TA/G
634III+SS6C/TA/G
MI06.00285-2III+Sg6C/TA/G
MI06.00286-2III+SS6C/TA/G
MI07.06579-2III+SS6C/TA/G
MI07.06582-2III+SS6C/TA/G
734III+SS6C/TA/G
MI05.00897-2III+SS6C/TA/G
MI06.01981-2III+Sg6C/TG
Open in a separate windowaPCR analysis of DMC was performed as described by Collins et al. (8). Isolates were identified as S or C strains.bPCR-REA was performed as described by Marsh et al. (15). Isolates were identified as S or C strains.cThe PCR method used was developed by Semret et al. (25).dhsp65 sequevar.eSNPs found in the IS900 sequences.fIS1311 data were also confirmed in previous work (29).gThe DNA template was insufficient and did not yield a visible product in the PCR.A fragment of 662 bp of the IS900 sequence from each of the isolates was amplified by PCR directed to the 5′ end of the insertion sequence, considered to be specific to M. avium subsp. paratuberculosis (9, 18) and found previously to be polymorphic (24). Primers IS900-F (5′ CCTTTCTTGAAGGGTGTTCG 3′ [24]) and IS900-R (5′ CCACCAGATCGGAACGTC 3′) were used in the amplification reaction, and then amplicons were purified with a QIAquick PCR purification kit (Qiagen, GmbH) and both strands were sequenced by using an ABI Prism 3730 DNA sequencer (Applied Biosystems; CIB Sequencing Facilities, Madrid, Spain). Forward and reverse sequences were aligned with the IS900 elements of the published genome sequence of M. avium subsp. paratuberculosis K-10 (type II strain; GenBank accession no. AE016958; reference sequence no. NC_002944), as suggested by Semret et al. (24). The analysis of the chromatograms showed IS900 SNPs that were homogeneous, conserved, and dependent on the M. avium subsp. paratuberculosis type (Table (Table3).3). Every type I ovine isolate showed an SNP at position 216, with a G instead of an A, and no other sequence modifications. This SNP was observed previously in a sample extracted directly from river water (20, 21), in an isolate from a sheep in Australia (35), and in some ovine isolates analyzed by Semret et al. (24). The eight isolates of type II subjected to analysis displayed complete homology to M. avium subsp. paratuberculosis K-10. However, for the type III isolates tested, double peaks of the same size at bp 169 (T/C) and bp 216 (G/A) or a single T peak and a G were noticed. For four of these isolates with ambiguities, another DNA extraction from a single colony was performed with an inoculating needle, but the results were corroborated, ruling out the possibility of contamination by two different strain types. The results of this analysis match previous observations of these SNPs in some of the S isolates tested by Semret et al. (24). This pattern is probably indicative of the presence of a point mutation in some of the copies of IS900 (Table (Table3)3) and also confirms the presence of type III isolates outside Spain (10). To our knowledge, this is the first report to establish a correlation between IS900 polymorphisms and strain types I, II, and III. Interestingly, in two previous studies, an irresolvable A/G polymorphism at position 216 (reported initially to be at bp 214) was observed in two samples obtained from a river flow (20, 21), due maybe to the presence of both types I and II in the samples collected. On the other hand, none of our isolates revealed any other SNPs described previously in the literature (2, 23, 27, 28, 36).The type III strains exhibited polymorphisms identical to those of type I strains, as determined by PCR analysis of DMC, IS1311 REA, and LSPA20 and hsp65 sequencing (Table (Table3),3), confirming previous observations (1) and showing the genetic similarity of these two strain types. However, this report provides further evidence of additional polymorphic loci that can be used to distinguish between these two strain types. Also, it supports the theory that less genomic divergence exists among type II (bovine) isolates than among type I and III (S) isolates (4, 26, 31).The stability and conservation of the IS900 sequence drift is reflected at positions 169 and 216 in some copies of IS900 in type I and III strains from herds in different locations. These results are consistent with suggestions in previous studies that M. avium subsp. paratuberculosis strains tend to be clonal (34). The IS900 sequence analysis could be used as a complementary diagnostic tool for epidemiological purposes to study the geographical distribution patterns of the three clusters within the M. avium subsp. paratuberculosis group. On the other hand, from this evidence, it is still not possible to obtain a correlation between pathogen adaptation to environmental factors or virulence pathways and the divergences in IS900 sequences.Notwithstanding these results, M. avium subsp. paratuberculosis nomenclature and the subdivision of strains into groups are still controversial. Current classifications have been based on the data gathered by several research groups. It would be necessary to perform whole-genome sequencing of M. avium subsp. paratuberculosis types I and III to further clarify the taxonomy of the lineages.  相似文献   

7.
Clostridium perfringens has been associated with necrotizing enterocolitis (NEC), which is a serious disease of neonates. Our study describes the novel use of selective tryptose sulfite cycloserine with egg yolk agar (TSC-EYA) during a nursery outbreak. This medium provides a rapid, sensitive, and accurate presumptive identification of C. perfringens.Necrotizing enterocolitis (NEC) is the most common acquired disease affecting the gastrointestinal system of neonates, with low-birth-weight babies at highest risk (20, 22). Clinical features of NEC range from mild intestinal signs such as abdominal distension (stage 1), to radiological signs of pneumatosis (stage 2), to advanced disease (stage 3) involving severe abdominal distension, hypotension, and peritonitis (1, 20). The underlying pathophysiology of NEC is poorly understood but is likely to be secondary to multiple injuries to the neonate gut through hypoxia-ischemia, hyperosmolar feeds, and infection (20, 24).No single infectious agent has been consistently identified as a cause of NEC, but Enterobacteriaceae (Escherichia coli, Klebsiella pneumoniae, Enterobacter cloacae), viruses (rotavirus, coronavirus, echovirus, norovirus), and clostridial species have all been implicated (4, 23, 25, 30). The pathology of NEC resembles gas gangrene of the intestine caused by Clostridium perfringens, which produces a range of extracellular toxins (10, 11, 19, 27), and colonization with C. perfringens has been shown to be associated with both sporadic and nursery outbreaks of NEC (2-4). However, it is unclear whether C. perfringens is the causative agent of NEC or a marker of intestinal changes associated with the disease (2, 3, 16).Culture for C. perfringens is not usually undertaken for neonatal feces, as C. perfringens is considered a part of the normal fecal flora, with up to 35% of preterm neonates colonized within the first 2 weeks of life (2, 30). In addition, isolation using conventional media such as horse blood agar (HBA), if required, is difficult without the use of selective supplements (2, 17). However, C. perfringens is also a major cause of human food poisoning, and when implicated in food-borne outbreaks, the causative bacterium can be recovered and enumerated by the use of highly selective media such as tryptose sulfite cycloserine agar, which provides a rapid presumptive morphological identification of C. perfringens (6, 8, 9, 31).The neonatal unit at Monash Medical Centre has the capacity for 50 neonates and includes 18 level III (ventilated) neonatal intensive care unit (NICU) beds. The unit has a stable background NEC rate of about 6/1,000 admissions per year. From 1 January to 30 June 2008, 15 neonates were diagnosed with NEC (modified Bell stage 2 and above), increasing the yearly rate to 32/1,000 admissions and raising concerns of an outbreak. Cases were defined as neonates who met the NEC stage 2 or 3 criteria, and controls were defined as current neonates who were in the unit without NEC at the peak June outbreak period (1).Fecal samples were collected from 11 neonates with NEC and 45 without NEC (current controls) from 6 to 20 June 2008. Microbiological investigations were undertaken for possible bacterial and viral pathogens (28).Fecal samples (n = 56) were also cultured for C. perfringens using HBA (Oxoid CM 0331) and incubated for 48 h at 35°C in anaerobic jars. Colonies were examined for anaerobic hemolytic Gram-positive rods. Presumptive identification of C. perfringens was determined by using the reverse CAMP test (RC) (7, 12, 13). All isolates exhibiting hemolysis were confirmed using the RapID ANA II panel (Remel, Kansas) and by 16S rRNA gene sequencing.Fecal samples were also directly cultured on tryptose sulfite cycloserine with egg yolk agar (TSC-EYA), which consisted of perfringens agar base (CM0587; Oxoid) with 5% egg yolk emulsion and d-cycloserine, for 24 h at 35°C (Media Preparation Unit, University of Melbourne) (5, 9, 14, 15). Black, lecithinase-positive or -negative colonies were presumptively identified as C. perfringens and confirmed as described above. To aid in the recovery of clostridia from a background mixture of bacteria, fecal samples were also heat shocked at 60°C for 20 min and then cultured on TSC-EYA (17). Since some C. perfringens isolates are known to be heat sensitive, a third method was used whereby samples were pretreated with ethanol for 1 h before being cultured on TSC-EYA (17, 18, 21).All phenotypically black colonies that exhibited lecithinase activity and were RC positive underwent 16S rRNA gene sequence analysis and multiplex PCR toxinotyping. The preparation of genomic DNA from clostridial isolates and multiplex PCR including primer pair sequences used for genotyping were done as previously described (26, 29).Direct inoculation onto TSC-EYA, which identified four more culture-positive neonates than did standard culture on HBA, was the most sensitive method examined (Table (Table1).1). Both heat shock and ethanol shock were less effective approaches for the isolation of C. perfringens than direct plating on TSC-EYA. No positive results were found by other methods using neonate samples that were negative on TSC-EYA. Direct plating on TSC-EYA was also rapid, saving 24 to 48 h compared to standard culture on HBA. In total, C. perfringens was isolated using TSC-EYA from 10 of 56 (18%) of the study subjects: 3 of 11 (27%) NEC cases and 7 of 45 (16%) controls (odds ratio [OR], 1.69; P = 0.46).

TABLE 1.

Clostridium perfringens isolated from neonatal fecal samples
NeonateSample date (day/mo/yr)No. of samples with isolation of C. perfringensa
Standard method on HBADirect method on TSC-EYAHeat shock method on TSC-EYAEthanol shock method on TSC-EYA
Cases
    111/06/2008DDDD
    219/06/2008NDDDD
    327/06/2008DDNDND
Controls
    118/06/2008DDNDD
    218/06/2008DDNDD
    320/06/2008DDNDD
    418/06/2008DDNDND
    518/06/2008NDDDD
    618/06/2008NDDDND
    718/06/2008NDDDD
Total recovered61057
Open in a separate windowaTSC-EYA, tryptose sulfite cycloserine with egg yolk agar; HBA, horse blood agar; D, detected; ND, not detected. Total number of samples, 56.Multiplex PCR toxinotype analysis revealed that all C. perfringens isolates were type A, with the plc gene, which encodes alpha-toxin, being the only major typing toxin gene detected (data not shown).Four other isolates that were reverse CAMP positive, produced black colonies, or were lecithinase positive on TSC-EYA were identified by clostridial 16S rRNA gene amplification and sequence analysis (Table (Table22).

TABLE 2.

Other Clostridium spp. recovered from neonatal fecal samples
NeonateSample date (day/mo/yr)Isolate characteristicsa identified by:
Species identification
Standard method on HBADirect method on TSC-EYAHeat shock method on TSC-EYAEthanol shock method on TSC-EYA
Case 111/06/2008NDB, L+(WL)B, L+(WL), RC+WHB, L+, RC+(WH)C. baratii
Control 118/06/2008RC+(WH), BHBH, L+ (WL)NDBH, L+(WL), RC+(WH)C. sardiniense
Control 218/06/2008NDNDB+, L, RCNDC. paraputrificum
Control 320/06/2008NDNDBH, L+(WL), RC+(WH)BH, L+, RC+(WH)C. baratii
Open in a separate windowaTSC-EYA, tryptose sulfite cycloserine with egg yolk agar; HBA, horse blood agar; RC, reverse CAMP test; B, black colonies (hydrogen sulfide production); L, lecithinase production on TSC-EYA; BH, beta-hemolysis on HBA; WL, weak lecithinase production on TSC-EYA; WH, weak hemolytic zone on sheep blood agar; +, positive; −, negative; ND, not detected.The rate of NEC in the unit returned to normal background levels over the second half of 2008, with only one NEC case diagnosed in December 2008. The outbreak resolved with implementation of enhanced infection control measures, such as environmental cleaning, isolation, and cohorting (i.e., physically separating infected from uninfected neonates). An increased detection of norovirus was observed during this outbreak, but its etiological role in the pathogenesis of NEC has yet to be demonstrated (28).In conclusion, our study sample numbers from this outbreak of NEC in a neonatal nursery are small, and a larger, multicenter study with prospective sampling needs to be conducted to establish if C. perfringens is a causative agent of NEC or a marker of intestinal changes preceding disease. However, direct inoculation of neonatal fecal samples onto TSC-EYA provides a sensitive, rapid, and accurate presumptive identification of C. perfringens and will facilitate recovery in future investigations.  相似文献   

8.
We analyzed the epidemiology of invasive pneumococcal disease (IPD) following introduction of pneumococcal conjugated vaccine in an urban population with a 2% human immunodeficiency virus (HIV) prevalence and history of low childhood immunization rates. We observed near-elimination of vaccine-type IPD. Substantial disease remains due to non-vaccine-type pneumococci, highlighting the need to increase pneumococcal immunization among HIV-infected adults.Following the introduction of 7-valent pneumococcal conjugate vaccine (PCV7) in mid-2000, declines in invasive pneumococcal disease (IPD) were documented across all age groups in the United States (1, 4, 20) and in vulnerable populations (4, 7, 17). Subsequently, increases in IPD caused by nonvaccine serotypes, particularly 19A, were observed (4, 7, 8, 9, 13, 14, 17).Newark, NJ, is a mid-sized U.S. city with a predominantly black and Hispanic population (19), a high human immunodeficiency virus (HIV)/AIDS prevalence (2%) (11), and a history of low childhood immunization rates (2). Potential PCV7-related direct and indirect effects in such populations have not been fully studied. Statewide, passive surveillance of IPD began in mid-2003. We previously described a single Newark medical center''s experience with IPD (18). In the current study, we conducted active, population-based surveillance to complement these efforts and to better understand the contemporary epidemiology of IPD in Newark, specifically, PCV7''s impact and the roles of HIV/AIDS and race/ethnicity in IPD incidence.Multicenter, active surveillance of all Newark IPD cases was conducted from 1 December 2007 through 30 November 2008. Cases were identified at the clinical microbiology laboratories of the four major hospitals serving Newark residents. Case ascertainment was augmented by comparisons with passive reports to New Jersey''s Communicable Disease Reporting and Surveillance System. A case was defined as any Newark resident during the study period with Streptococcus pneumoniae isolated from either blood or cerebrospinal fluid (CSF).Patient demographics and medical information were abstracted from hospital medical charts. Collected isolates were serotyped with sequential multiplex PCR molecular methods developed by the Centers for Disease Control and Prevention (3, 12). DNA sequencing was used for resolution of serotypes 6A, 6B, and 6C. Vaccine serotypes (VT) were defined as those included in PCV7: 4, 6B, 9V, 14, 18C, 19F, and 23F. All others, including vaccine-related serotypes, were defined as nonvaccine serotypes (NVT). We separately considered the additional serotypes included in the 10- and 13-valent vaccines currently under development (6, 21).Race/ethnicity was dichotomized as black, not Hispanic (abbreviated as “black”) versus “all others.” The “all others” category included “Hispanic, all races,” “not Hispanic, white,” “not Hispanic, other,” and “unknown.” HIV status was categorized as either HIV infected or HIV uninfected/status unknown. For most incidence analyses, results are presented using the age intervals in the U.S. Census 2000 (19): <5, 5 to 17, 18 to 44, 45 to 64, and 65 years or older. For HIV-stratified analyses, results are presented using the age intervals in Newark''s HIV/AIDS prevalence reports (11): <13, 13 to 54, and 55 years or older. The χ2 test of independence and Fisher''s exact test were used, as appropriate, in univariate analyses (16).During the study period 87 cases of IPD were identified among Newark residents. A total of 81 (93%) occurred at study centers, of which 72 (89%) were collected for serotyping and are described in detail in this report. Three isolates had no extractable DNA, and of the remaining 69, 5 were nontypeable. Ten cases that had not been reported through passive surveillance were identified using the study''s active surveillance methods.Considering all 87 cases during the study period, the reported 1-year incidence of IPD per 100,000 in Newark was 32 (95% confidence interval [CI], 25 to 38). The age distribution was bimodal with peaks in the under-5-years age group and the 45- to 64-years age group (Fig. (Fig.1).1). Considering the 72 cases for which full data were available, the relative risk (RR) of IPD for black cases versus all other cases was 2.2 (95% CI, 1.4 to 3.7) and was highest among persons 18 to 44 years old (6.4; 95% CI, 1.4 to 29) (Fig. (Fig.1).1). The RR of IPD for HIV-infected patients was 24 (95% CI, 15 to 38), with an incidence of 414 per 100,000 (95% CI, 268 to 611) among HIV-infected patients versus 18 (95% CI, 13 to 24) among HIV-uninfected/status unknown cases and was highest among persons 18 to 54 years old (RR, 47; 95% CI, 25 to 89). The RRs for HIV infected versus HIV uninfected/status unknown, stratified by black and all other race/ethnicity groups, were 19 (95% CI, 11 to 33) and 31 (95% CI, 12 to 85), respectively.Open in a separate windowFIG. 1.Age distribution of invasive pneumococcal disease incidence (per 100,000) by race/ethnicity, Newark, NJ, December 2007 to November 2008. Age- and race-stratified incidences were calculated based on the 72 cases for which full data were available.Table Table11 describes the demographic and clinical characteristics of the 72 collected cases. Of the adult cases, 25/63 (40%) were known to be HIV infected. There were no documented HIV-infected pediatric cases. The case fatality ratio was 19% (12/63) in adults and 11% (1/9) in children. Among HIV-infected adults for whom vaccination status was known, 13/21 (62%) had received the 23-valent pneumococcal polysaccharide vaccine (PPV23). Among children whose PCV7 status was known, 3/5 (60%) were up-to-date with PCV7.

TABLE 1.

Demographic and clinical characteristics of Newark IPD cases by HIV status
Demographic group or clinical characteristicHIV infected (n = 25)HIV uninfected or status unknown (n = 47)Total cases (n = 72)
Women, n (%)14 (56)26 (55)40 (56)
Median age (yr)465352
Age group (yr), n (%)
    <50 (0)6 (13)6 (8)
    5-170 (0)3 (6)3 (4)
    18-449 (36)5 (11)14 (19)
    45-6416 (64)21 (45)37 (51)
    ≥650 (0)12 (26)12 (17)
Ethnicity, n (%)
    Black not Hispanic20 (80)31 (66)51 (71)
    Hispanic5 (20)12 (26)17 (24)
    All others0 (0)4 (8)4 (5)
Case fatality ratio,an (%)0 (0)13 (28)13 (18)
Invasive pneumococcal disease, n (%)
    Meningitis1 (4)4 (8)5 (7)
    Bacteremic pneumonia18 (72)31 (66)49 (68)
    Other bacteremic disease6 (24)12 (26)18 (25)
Cerebrospinal fluid as source n (%)0 (0)3 (6)3 (4)
Comorbid conditions, n (%)
    Diabetes4 (16)9 (19)13 (18)
    Renal disease6 (24)9 (19)15 (21)
    Chronic obstructive pulmonary disease4 (16)8 (17)12 (17)
Penicillin nonsusceptible, n (%)6 (24)6 (13)12 (17)
Open in a separate windowaThe case fatality ratio is the proportion of cases in which the patient died prior to hospital discharge.As pneumococcal conjugate vaccine came into increasing use in Newark (2), VT IPD disappeared from the municipality (Fig. (Fig.2).2). Only one case of VT IPD, serotype 9V, occurred in an HIV-infected adult vaccinated with PPV23. Three cases of vaccine-related serotype 6A, for which substantial cross-protection has been demonstrated (20), also occurred in adults. The majority of NVT IPD was caused by serotypes 19A (28%), 22F (12%), and 3 (8%) (Table (Table2).2). There were no statistically significant differences in the proportion of NVT or serotype 19A by HIV infected versus HIV uninfected/status unknown or black versus all others. The three CSF isolates were serotypes 11A, 12F, and nontypeable. Of note, 37/69 (54%) cases were caused by serotypes included neither in PCV7 nor in the 10- or 13-valent pneumococcal conjugate vaccines (6, 21).Open in a separate windowFIG. 2.Pneumococcal serotype distribution in Newark, NJ, 2000 to 2005 and December 2007 to November 2008. Data are shown from an earlier, single-center study (18) conducted from 2000 to 2005 as well as the current prospective, multicenter analysis. Newark infant PCV7 coverage rates increased from 2002 to 2006: 2002 (31%), 2003 (58%), 2004 (71%), 2005 (76%), 2006 (80%), 2007 and 2008 not available (2). The gray area represents January 2006 to November 2007, a period when serotyping was not performed.

TABLE 2.

Distribution of pneumococcal serotypes by HIV status
SerotypeNo. with serotype among:
HIV infectedHIV uninfected/ status unknownTotal
PCV7a
    9V101
    Subtotal101
PCV10b
    1011
    5011
    7F011
    Subtotal134
PCV13c
    3156
    6A123
    19A61319
    Subtotal92332
NVT
    22F448
    15A134
    10A213
    11A022
    15B/C022
    20112
    35B112
    8022
    Other5712
    Subtotal142337
Isolates with no extractable DNA213
Total254772
Open in a separate windowaPCV7 includes serotypes 4, 6B, 9V, 14, 18C, 19F, and 23F.bPCV10 includes the serotypes in PCV7 plus 1, 5, and 7F.cPCV13 includes the serotypes in PCV10 plus 3, 6A, and 19A.A higher proportion of pediatric versus adult cases was caused by 19A (5/9 [56%] versus 14/60 [23%]; P = 0.06). A higher proportion of penicillin-nonsusceptible IPD cases (7/12 [58%]) was due to 19A than among penicillin-susceptible IPD cases (12/57 [21%]; P < 0.05). Serotype 19A occurred more frequently in the flu season (November to March) than in the non-flu season months (April to September; 14/38 [37%] versus 5/31 [16%]; P = 0.06).IPD caused by VT serotypes has been nearly eliminated from the Newark population following the introduction of PCV7. These decreases occurred in conjunction with increasing PCV7 coverage rates among Newark children from 2002 to 2006. As reported for other populations (7-9, 14), by 2008 serotype 19A was the most common disease-causing pneumococcal serotype and accounted for the majority of the penicillin-nonsusceptible cases. If current serotype patterns persist, future vaccines targeting 19A would help to prevent a majority of IPD in our largely minority population with a high HIV prevalence.Newark''s 1-year incidence of IPD in 2008 was 2.5 times higher than that described in the general U.S. population in 2006, likely due to the relatively high HIV prevalence, as well the high prevalence of other immunocompromising, chronic illnesses. In common with previous reports (5, 10, 15), we found a higher risk of IPD among black individuals compared to individuals of other races/ethnicities. The magnitude of the increased risk was most pronounced among persons ages 18 to 44 years old and exceeded the difference found in other studies (5).Given our study design, we were unable to examine potential disparities in risk factors for IPD that may have contributed to the increased risk among black individuals. However, other authors have speculated that undocumented HIV infection and/or other immunomodulating conditions may contribute to the elevated relative risk (10). Potential miscategorization of HIV in the black population in our study was suggested by the lower racially stratified relative risk of IPD for HIV-infected cases compared with HIV-infected cases of all other races/ethnicities.HIV-infected persons have historically had a 40-fold-higher risk of IPD than HIV-uninfected persons. In this population with a reported 2% HIV prevalence (11), IPD-HIV coinfection resulted in the highest burden of disease falling among young to middle-age adults, relative to young children and the elderly, a pattern of IPD very different from that in the general U.S. population (1). Roughly 40% of HIV-infected patients represented missed opportunities for vaccination with PPV23. Information was not available on CD4 count, antiretroviral therapy, or cotrimoxazole prophylaxis, limiting our ability to comment on the appropriate use of the full arsenal of preventive measures in this at-risk population.Our study had several limitations. This multicenter study of all Newark IPD was conducted for only 1 year. A prior single-center study provided some insight into the serotype distribution during the early post-PCV7 years (18). However, we have not analyzed data on serotype distribution prior to PCV7 introduction. Therefore, we may not have a full understanding of the changes in individual nonvaccine serotypes since the introduction of PCV7. Our case definition did not include sterile site pneumococcal isolates other than blood or CSF. Therefore, our estimates of incidence may be slight underestimates compared to those from national surveillance studies (1, 20).  相似文献   

9.
In this study, the susceptibilities of 35 multidrug-resistant (MDR) Mycobacterium tuberculosis clinical isolates to second-line drugs, including kanamycin (KM), rifabutin (RBU), ofloxacin (OFX), p-aminosalicylic acid (PAS), capreomycin (CAP), clofazimine (CFM), and ethionamide (ETH), were investigated on blood agar according to CLSI recommendations. Compared with the results of the Bactec 460 TB system, agreement was 100, 100, 97, 100, 100, 100, and 86% for KM, RBU, OFX, PAS, CAP, CFM, and ETH, respectively. Compared with the results of the proportion method, agreement was 100, 100, 97, 100, 97, 100, and 77% for KM, RBU, OFX, PAS, CAP, CFM, and ETH, respectively.Multidrug-resistant tuberculosis (MDR-TB) and extensively drug-resistant tuberculosis (XDR-TB) are major public health problems, especially in developing countries (13, 18, 21). Rapid susceptibility testing is critical for early diagnosis of MDR- and XDR-TB and the initiation of effective regimens (14). The agar proportion method performed on Middlebrook 7H10 and 7H11 agars is the reference method for susceptibility of Mycobacterium tuberculosis according to CLSI recommendations (16). The Bactec 460 TB system (Becton Dickinson Diagnostic Systems, Sparks, MD), Bactec MGIT 960 (Becton Dickinson Diagnostic Systems, Sparks, MD), and Versa TREK system (formerly known as ESP II; Trek Diagnostic Systems, West Lake, OH) are cleared for used by the U.S. FDA for testing M. tuberculosis susceptibility to first-line drugs (16). It has recently been demonstrated that blood agar can be used for routine culture and testing of M. tuberculosis susceptibility to first-line drugs (1-4, 6, 7, 15).In this study, the susceptibilities of 35 MDR M. tuberculosis clinical isolates against the second-line drugs kanamycin (KM), rifabutin (RBU), ofloxacin (OFX), p-aminosalicylic acid (PAS), capreomycin (CAP), clofazimine (CFM), and ethionamide (ETH) were investigated on blood agar, and results were compared to those obtained using the Bactec 460 TB system and the proportion method on Middlebrook 7H10 agar, performed according to CLSI recommendations.Clinical MDR-TB strains were obtained from the Istanbul Faculty of Medicine, Department of Microbiology and Clinical Microbiology, Istanbul, Turkey. Isolates were identified by the Bactec NAP test as M. tuberculosis complex. Susceptibility to first-line drugs was determined by the radiometric method (Bactec 460 TB system) (19, 20). M. tuberculosis H37Rv was used as a control strain. All drugs were obtained from the manufacturers in a chemically pure form. Stock antibiotic solutions and subsequent dilutions were prepared. All stock solutions except CFM, which was stored in the dark at room temperature, were stored at −70°C in small aliquots.The agar proportion method using Middlebrook 7H10 and blood agar was performed with concentrations of 10, 5, 5, 1, 2, 1, and 2 μg/ml for CAP, ETH, KM, CFM, OFX, RBU, and PAS, respectively (9, 10, 12, 16, 17).Middlebrook 7H12 broth (Bactec 12B; Becton Dickinson Microbiology Systems) was used for radiometric testing (5, 11, 16, 19, 20). Second-line drugs (KM, RBU, PAS, CAP, CFM, OFX, and ETH) were tested by using single critical concentrations. Concentrations of second-line drugs tested in the Bactec 460 TB system were 1.25, 1.25, 5, 0.5, 2, 0.5, and 4 μg/ml for CAP, ETH, KM, CFM, OFX, RBU, and PAS, respectively (9, 10, 12, 16, 17).The inoculum was prepared from freshly grown colonies on Löwenstein-Jensen medium. The supernatant of each isolate was adjusted to a 1 McFarland standard. The agar proportion method was performed on both Middlebrook 7H10 agar and blood agar (infusion agar, Becton Dickinson) separately according to CLSI recommendations (16). The plates were monitored twice a week by the naked eye. Resistance was defined as growth of a colony count of >1% on drug-containing quadrants in comparison to drug-free quadrants (16).The Bactec 460 TB system revealed that all isolates were susceptible to KM and CFM. RBU, OFX, PAS, CAP, and ETH resistance was detected in 27, 1, 3, 2, and 17 isolates, respectively. All isolates were susceptible to KM and CFM on Middlebrook 7H10 agar; resistance was detected in 27, 1, 3, 1, and 14 isolates for RBU, OFX, PAS, CAP, and ETH, respectively. On blood agar, all isolates were susceptible to KM and CFM; resistance was detected in 27, 2, 3, 2, and 22 isolates for RBU, OFX, PAS, CAP, and ETH, respectively.Blood agar results were compared with the results obtained using the Bactec 460 TB system and the proportion method on Middlebrook 7H10 agar. Agreement, sensitivity, specificity, positive predictive value, and negative predictive value are shown in Tables Tables11 and and2.2. The results of susceptibility testing were obtained on the 21st day of incubation by the proportion method on blood and Middlebrook 7H10 agar as recommended by the CLSI. The results of susceptibility testing by the Bactec 460 TB system were obtained on the 5th day of incubation for 31 isolates and on the 8th day for 4 isolates.

TABLE 1.

Comparison of blood agar results and Bactec 460 TB system resultsa
DrugResult on blood agarBactec 460 TB system
% specificityPPV (%)NPV (%)% agreement
No. of resistant isolatesNo. of susceptible isolates% sensitivity
KMResistant00100100100
Susceptible035
RBUResistant270100100100100100
Susceptible08
OFXResistant11971001005097
Susceptible033
PASResistant30100100100100100
Susceptible032
CAPResistant20100100100100100
Susceptible033
CFMResistant00100100100
Susceptible035
ETHResistant175721001007786
Susceptible013
Open in a separate windowaKM, kanamycin; RBU, rifabutin; OFX, ofloxacin; PAS, p-aminosalicylic acid; CAP, capreomycin; CFM, clofazimine; ETM, ethionamide; PPV, positive predictive value; NPV, negative predictive value.

TABLE 2.

Comparison of blood agar results and Middlebrook 7H10 agar resultsa
DrugResult on blood agar7H10 agar
% specificityPPV (%)NPV (%)% agreement
No. of resistant isolatesNo. of susceptible isolates% sensitivity
KMResistant00100100100
Susceptible035
RBUResistant270100100100100100
Susceptible08
OFXResistant11971001005097
Susceptible033
PASResistant30100100100100100
Susceptible032
CAPResistant11971001005097
Susceptible033
CFMResistant00100100100
Susceptible035
ETHResistant14861.910010063.677
Susceptible013
Open in a separate windowaKM, kanamycin; RBU, rifabutin; OFX, ofloxacin; PAS, p-aminosalicylic acid; CAP, capreomycin; CFM, clofazimine; ETM, ethionamide; PPV, positive predictive value; NPV, negative predictive value.Recently, it has been reported that blood agar could be used for the isolation of M. tuberculosis from clinical isolates (6, 7, 15). In 2003, Drancourt et al. (6) reported that M. tuberculosis grows on blood agar within 1 to 2 weeks. Moreover, they emphasized that it is a time-saving, cost-effective, more sensitive method and at least as rapid as the automated method. Mathur et al. (15) assessed the time required for primary isolation of M. tuberculosis on sheep blood agar compared with the time required for isolation on Löwenstein-Jensen medium. They reported that the median time to detect M. tuberculosis on blood agar was 13 days, while it was 19 days on Löwenstein-Jensen medium. In their study, more bacterial colonies were observed on blood agar than on Löwenstein-Jensen medium. Coban et al. (1) demonstrated that blood agar may be used as an alternative medium for testing the susceptibility of M. tuberculosis to INH and RIF. They compared the results obtained from blood agar and the Bactec 460 TB system. Susceptibility results were recorded on day 14, and agreements were 94.1 and 100% for INH and RIF, respectively. In another study, Coban et al. (2) evaluated the performance of blood agar for testing the susceptibility of M. tuberculosis to INH, RIF, STM, and ETM. The results were obtained on the 14th day of incubation, and the agreements with the radiometric proportion method were determined as 100, 100, 92, and 96% for INH, RIF, STM, and ETM, respectively. In a collaborative study, Coban et al. (3) evaluated the performance of blood agar for testing the susceptibility of M. tuberculosis to first-line drugs. Susceptibility test results were reported on the 14th day for 100 isolates and on the 21st day of incubation for 47 isolates. The agreements with radiometric or the agar proportion method were 94.5, 96.5, 93.1, and 87.7% for INH, RIF, STM, and ETM, respectively. Yildiz et al. (23) evaluated the performance of sheep blood and human blood agar for testing the susceptibility of M. tuberculosis to INH using the proportion method. Their results were obtained on incubation days 6 to 8 in both media; they showed that both media can be used as an alternative medium for the susceptibility testing of M. tuberculosis.To the best of our knowledge, there is no report which tests the performance of blood agar in determining the susceptibility of M. tuberculosis against second-line drugs. The results of the present study demonstrated that blood agar may be useful as an alternative medium for determining the susceptibility of M. tuberculosis clinical isolates to second-line drugs (except ETH). Coban et al. (4) determined the susceptibilities of M. tuberculosis to first- and second-line antituberculosis drugs by the Etest by using different media, including 7H11, blood, and chocolate agars. They noted that chocolate agar showed insufficient growth, while results on blood agar were comparable to those on Middlebrook 7H11 agar.In conclusion, susceptibility testing results of M. tuberculosis strains against second-line drugs, except ETH, on blood agar showed excellent agreement compared with two gold standard methods. A limitation of this study is that the majority of tested M. tuberculosis isolates were not resistant to second-line drugs. Further studies with more resistant strains are needed before the implementation of blood agar for susceptibility testing of M. tuberculosis strains against second-line drugs in diagnostic laboratories.  相似文献   

10.
Five Candida species (C. albicans, C. glabrata, C. tropicalis, C. parapsilosis, and C. krusei) account for over 95% of invasive candidiasis cases. Some less common Candida species have emerged as causes of nosocomial candidiasis, but there is little information about their in vitro susceptibilities to antifungals. We determined the in vitro activities of fluconazole, voriconazole, posaconazole, amphotericin B, anidulafungin, caspofungin, and micafungin against invasive, unique patient isolates of Candida collected from 100 centers worldwide between January 2001 and December 2007. Antifungal susceptibility testing was performed by the CLSI M27-A3 method. CLSI breakpoints for susceptibility were used for fluconazole, voriconazole, anidulafungin, caspofungin, and micafungin, while a provisional susceptibility breakpoint of ≤1 μg/ml was used for amphotericin and posaconazole. Of 14,007 Candida isolates tested, 658 (4.7%) were among the less common species. Against all 658 isolates combined, the activity of each agent, expressed as the MIC50/MIC90 ratio (and the percentage of susceptible isolates) was as follows: fluconazole, 1/4 (94.8%); voriconazole, 0.03/0.12 (98.6%); posaconazole, 0.12/0.5 (95.9%); amphotericin, 0.5/2 (88.3%); anidulafungin, 0.5/2 (97.4%); caspofungin, 0.12/0.5 (98.0%); and micafungin, 0.25/1 (99.2%). Among the isolates not susceptible to one or more of the echinocandins, most (68%) were C. guilliermondii. All isolates of the less common species within the C. parapsilosis complex (C. orthopsilosis and C. metapsilosis) were susceptible to voriconazole, posaconazole, anidulafungin, caspofungin, and micafungin. Over 95% of clinical isolates of the rare Candida species were susceptible to the available antifungals. However, activity did vary by drug-species combination, with some species (e.g., C. rugosa and C. guilliermondii) demonstrating reduced susceptibilities to commonly used agents such as fluconazole and echinocandins.More than 95% of Candida bloodstream infections (BSI) are caused by five species: C. albicans, C. glabrata, C. parapsilosis, C. tropicalis, and C. krusei (83). The in vitro activities of available antifungal agents against these five species have been documented extensively (21, 25, 64, 83, 91), whereas very little is known regarding the susceptibility profiles of the less frequently isolated Candida species (8, 40, 75-77, 94).Among the Candida strains reported to cause BSI, more than 17 different species have been identified (31, 32, 84). Aside from the five most common species noted above, the remaining species include C. lusitaniae, C. guilliermondii, C. kefyr, C. pelliculosa, C. famata, C. lipolytica, and C. rugosa (Table (Table1)1) (31, 77, 84). Many of these species have been observed to occur in nosocomial clusters and/or to exhibit innate or acquired resistance to one or more established antifungal agents (6, 9, 23, 27, 36, 48, 49, 79, 80, 87, 88, 106). In addition, the use of molecular identification methods has resulted in the identification of new species within larger species complexes (e.g., C. dubliniensis within the C. albicans complex and C. orthopsilosis and C. metapsilosis within the C. parapsilosis complex) (43-46, 100). In vitro susceptibility data specific to those newly described species groups are also lacking.

TABLE 1.

Distribution of 14,007 isolates of Candida spp. from blood and other normally sterile sites, 2001 to 2007
SpeciesNo. tested% of total
C. albicans7,41252.9
C. glabrata1,99314.2
C. parapsilosis1,89513.5
C. tropicalis1,61411.5
C. krusei4353.1
C. guilliermondii1751.2
C. lusitaniae1711.2
C. orthopsilosis1020.7
C. kefyr740.5
C. pelliculosa400.3
C. metapsilosis300.2
C. famata160.1
C. dubliniensis180.1
C. lipolytica160.1
C. rugosa160.1
Open in a separate windowThese less common species may emerge as important opportunistic pathogens in the future, so it is important to describe the activities of both new and established antifungal agents as potential therapeutic options (63, 95). In this study, we report the in vitro activities, determined by the Clinical and Laboratory Standards Institute (CLSI) broth microdilution (BMD) reference method (15, 16), of amphotericin B, fluconazole, posaconazole, voriconazole, anidulafungin, caspofungin, and micafungin against 658 clinical isolates of the less common species of Candida isolated from hospitalized patients with invasive infections in North America, Latin America, Europe, and the Asia-Pacific region.  相似文献   

11.
We report the first case of adult meningitis confirmed to be due to Streptococcus gallolyticus subsp. pasteurianus. Phenotypically reported as Streptococcus bovis biotype II/2, 16S rRNA sequencing revealed S. gallolyticus subsp. pasteurianus. Because of taxonomic uncertainties, S. gallolyticus subsp. pasteurianus may be an underrecognized agent of systemic infections.The group D nonenterococcal streptococci include Streptococcus bovis, with two biotypes (I and II) that cause human infections. Biotype I (Streptococcus gallolyticus) is associated with colonic carcinoma and endocarditis (20). Biotype II/1 (Streptococcus infantarius) has been associated with noncolonic cancers (5). These clinical implications make accurate species identification critical. However, the S. bovis group is genetically diverse, and organisms previously classified as S. bovis now represent multiple species with unique clinical manifestations (8, 9, 22). S. gallolyticus subsp. pasteurianus, also named Streptococcus pasteurianus, was proposed to replace S. bovis II/2 (19, 22). Clinicians and laboratory staff do not recognize this taxonomy and its associated clinical implications. We report a case of S. gallolyticus subsp. pasteurianus meningitis.A 75-year-old man presented to the emergency room 2 days after the onset of headache, fever, and photophobia. He had a history of prostate cancer 8 years previously, which was treated with pelvic irradiation, with subsequent radiation proctitis. He denied intravenous drug abuse. Physical exam revealed a temperature of 38.3°C, photophobia, and nuchal rigidity. His peripheral white blood cell count (WBC) was 11,400/mm3 (with 65% neutrophils, 15% bands, and 10% lymphocytes), and his glucose was 160 mg/dl. The patient was given 1 g ceftriaxone, and 2 hours later lumbar puncture showed clear, colorless cerebrospinal fluid (CSF), with a WBC of 112/mm3 (62% neutrophils), glucose of 38 mg/dl, and protein of 282 mg/dl; no organisms were seen on Gram stain. HIV testing and three stool specimens for ova and parasites were negative.The patient was treated for bacterial meningitis with ampicillin, vancomycin, ceftriaxone, and dexamethasone (0.15 mg/kg of body weight). A group D nonenterococcal streptococcus was identified from blood and CSF cultures. The API Rapid Strep kit (bioMérieux, Marcy l''Etoile, France) identified the organism as S. bovis biotype II/2, and RapID Strep (Remel, Lenexa, KS) identified it as S. bovis variant group D (also known as biotype II). As the cultures were sensitive to ceftriaxone, clindamycin, erythromycin, levofloxacin, linezolid, penicillin, and vancomycin, both ampicillin and vancomycin were discontinued. A transesophageal echocardiogram showed no evidence of endocarditis, and colonoscopy was negative. He received intravenous antibiotics for 10 days, and as of January 2010 has not had recurrence of illness after 54 months of follow-up.After incubation on tryptic soy blood agar (TSBA) plates, colonies were tested for catalase production and failed growth in 6.5% NaCl. Lancefield typing was determined by using Streptex (Remel). Carbohydrate fermentation analysis was performed using the API 20 Strep (ID 7650450; bioMérieux) and RapID Strep (ID 22301; Remel) kits. See Table Table11 for the results of phenotypic testing.

TABLE 1.

Phenotypic characteristics of S. bovis biotype II/2 (S. gallolyticus subsp. pasteurianus)
TestResult for the study patient
% of S. gallolyticus subsp. pasteurianus strains with traita
API 20 StrepRapID STR
Hydrolysis of:
    Arginine0
    Esculin++100
    Gallate (tannase activity)NRbNR0
Production of:
    Acetoin+NR100
    β-GlucosidaseNRNR100
    β-Glucuronidase+NR100
    α-Galactosidase++71
    β-Galactosidase (β-Gal)+NR95
    β-MannosidaseNRNR100
    Pyrrolidonyl arylamidaseNR0
Acidification of:
    GlycogenNR0
    Inulin0
    Lactose+NR100
    Mannitol0
    MellibioseNRNR10
    Raffinose++57
    StarchNR14
    Trehalose+NR100
Open in a separate windowaThe percentage of 21 S. gallolyticus subsp. pasteurianus strains that exhibited the corresponding phenotypic trait (22).bNR, not reported.Clinical isolates were cultured on TSBA plates and harvested in 0.5 ml of phosphate-buffered saline, and bacterial genomic DNA was prepared with a DNeasy tissue kit (Qiagen, Valencia, CA). 16S rRNA genes were amplified from extracted DNA using the primer pair 8F and 1510R, as described previously (18). Using a PCR purification kit (Qiagen), PCR products were purified and ligated with the pGEM-T Easy vector (Promega, Madison, WI) and transformed with Escherichia coli DH5α competent cells. Transformed cells were used as PCR template vector primers. From colonies showing the expected product, inserts were sequenced using primers 8F and 1510R. From isolates 2274 (blood) and 9324 (CSF), one and two clones, respectively, were examined. Phred quality scores and visual inspection were used to determine sequence accuracy.Sequences were aligned with NAST at Greengenes (http://greengenes.lbl.gov/cgi-bin/nph-index.cgi) (6). Misalignments were manually curated with Molecular Evolutionary Genetics Analysis 3.1 (MEGA 3.1) (14). The phylogenetic tree was generated using MEGA 3.1. Evolutionary distances were calculated with the Jukes-Cantor algorithm (13). The statistical strength of the neighbor-joining method was assessed by bootstrap resampling (500 replicates) (21).Culture plates with growth of the isolate were layered with 3% phosphate-buffered glutaraldehyde and fixed for 12 h. Postfixation, specimens were embedded in Embed 812 in Beem capsules, and 0.07-μm Epon sections were stained with uranyl acetate and lead citrate as previously described (17) and examined using a JEM 1010 electron microscope (JEOL, Peabody, MA).Electron microscopy revealed an encapsulated organism. The 16S sequences for the 2274 clone and one of the two 9324 clones showed 100% sequence identity with the S. pasteurianus type strain CIP105070 (accession number AJ297216) (Fig. (Fig.1)1) (22). Clone 2 from strain 9324 is most closely related to S. pasteurianus. The two 9324 clones differed at positions corresponding to 322, 853, and 1106 in Escherichia coli K-12 16S rRNA genes, likely representing true intragenomic heterogeneity (4). Streptococcus species usually contain four to seven rRNA operons with ≤0.2% intragenomic variation between the16S rRNA copies (4), as illustrated here. The sequencing data indicated the isolate represents S. pasteurianus, as our 16S rRNA genes are identical to the S. pasteurianus type strain and identical 16S rRNA genes have not been reported in different species. Microbiologic data also suggested the organism conforms to the phenotype previously described (Table (Table1)1) and confirmed that the strain could have been identified without 16S rRNA sequencing (22). In this study, the PCR product was cloned to provide certainty. However, sequencing of the PCR product should be sufficient for routine clinical purposes.Open in a separate windowFIG. 1.Identification of clinical isolates by 16S rRNA-based phylogenetic analysis in relation to type strains of the Streptococcus bovis group (GenBank accession numbers are shown in parentheses). Sequences were aligned by using Greengenes, and the phylogram of the aligned sequences was generated using MEGA 3.1 with neighbor-joining methods. Bootstrap values (based on 500 replicates) are represented at each node when values are >50%, and the branch length index is represented below the phylogram.In 1995, Osawa suggested a new species, S. gallolyticus, for those organisms able to decarboxylate gallic acid (16). Subsequently, whole-cell protein analysis was used to show that the S. gallolyticus species comprised S. bovis biotypes I and II/2 (7). Later sequencing of sodA and DNA-DNA hybridization confirmed the need for the taxonomic change (19, 22). Based on biochemical traits, DNA-DNA relatedness, and 16S rRNA sequences, Schlegel et al. suggested that the S. gallolyticus species includes three subspecies: S. gallolyticus subsp. gallolyticus, S. gallolyticus subsp. pasteurianus, and S. gallolyticus subsp. macedonicus (22). These studies suggest S. gallolyticus subsp. pasteurianus is the preferred nomenclature over S. pasteurianus.The uncertainties in taxonomy cloud the reporting of the accurate spectrum of clinical disease caused by S. gallolyticus subsp. pasteurianus. The organism causes meningitis, bacteremia, peritonitis, and chorioamnionitis in adults (1, 2, 10, 23). Thus far, however, there is not enough information to implicate a relationship of adult S. gallolyticus subsp. pasteurianus infection with endocarditis or colonic carcinoma. A recent report associated 63% of 11 bacteremic events with hepatobiliary disease (2). In infants, S. gallolyticus subsp. pasteurianus infection may present as sepsis or meningitis (3, 11, 12, 15).Findings from reported cases of meningitis due to S. bovis biotype II/2 (S. gallolyticus subsp. pasteurianus) in both adults and infants are reported in Table Table2.2. These cases may be underreported in the literature due to taxonomic misidentification. These cases also suggest that S. gallolyticus subsp. pasteurianus infects both full-term and preterm neonates in both early and late onset patterns. From our review, adults with a history of chronic steroid use or compromised gastrointestinal tract integrity may be at risk for meningitis. More research is needed to establish definitive epidemiologic patterns.

TABLE 2.

Reported meningitis cases caused by S. bovis biotype II/2 (S. gallolyticus subsp. pasteurianus)
Yr of report (reference)Patient ageGenderCSF Gram stainPositive culturesAntibiotic susceptibilityaLength of antibiotic therapy (days)Additional clinical informationOutcome
1993 (10)61 yrsMaleNegativeBlood, CSFPenicillin, cefotaxime*Not reportedBronchitis on chronic steroids, benign hyperplastic polyp on colonoscopySurvived
2000 (3)4 wksMalePositiveBlood, CSFPenicillin*18Premature deliverySurvived
2003 (12)3 daysMalePositiveBlood, CSFPenicillin*14Not applicableSurvived
2009 (15)5 daysFemaleNot reportedBlood, CSFPenicillin, cefotaxime,* imipenem14Not applicableSurvived
Present study75 yrsMaleNegativeBlood, CSFPenicillin, ceftriaxone,* clindamycin, erythromycin, levofloxacin, linezolid, vancomycin10Radiation proctitisSurvived
Open in a separate windowa*, antibiotic chosen for ultimate patient treatment based on results of culture and susceptibility testing.This is the first adult meningitis case of S. gallolyticus subsp. pasteurianus to be confirmed by rRNA sequencing. Our patient''s portal of entry may be related to radiation proctitis. The organism''s capsule may explain its central nervous system tropism. Given the relationship of S. bovis infection with carcinoma, 16S rRNA sequencing should be done on systemic S. bovis isolates until genotypic analysis, nomenclature, and clinical approaches are integrated. We suspect that many of the S. bovis biotype II/2 clinical isolates reported previously may actually represent S. gallolyticus subsp. pasteurianus.  相似文献   

12.
The Hia autotransporter proteins are highly immunogenic surface adhesins expressed by nontypeable Haemophilus influenzae (NTHI). The objective of our study was to assess the opsonophagocytic activity of anti-Hia antibodies against homologous and heterologous NTHI. A segment of the hia gene that encodes a surface-exposed portion of the H. influenzae strain 11 Hia protein was cloned into a pGEMEX-2 expression vector. Escherichia coli JM101 was transformed with the resulting pGEMEX-Hia BstEII del recombinant plasmid, and recombinant fusion protein was recovered. An immune serum against recombinant GEMEX-Hia (rGEMEX-Hia)-mediated killing of the homologous NTHI strain 11 at a 1:160 titer and five heterologous Hia-expressing strains at titers of ≥1:40. Immune serum did not mediate killing of two Hia-knockout strains whose hia genes were inactivated but did mediate killing of one knockout strain at a high titer after the strain was transformed with a plasmid containing the hia gene. Immune serum did not mediate killing of HMW1/HMW2-expressing NTHI strains, which do not express the Hia adhesin. However, when two representative HMW1/HMW2-expressing strains were transformed with the plasmid containing the hia gene, they expressed abundant Hia and were susceptible to killing by the immune serum. Immune serum did not mediate killing of HMW1/HMW2-expressing strains transformed with the plasmid without the hia gene. Our results demonstrate that the Hia proteins of NTHI are targets of opsonophagocytic antibodies and that shared epitopes recognized by such antibodies are present on the Hia proteins of unrelated NTHI strains. These data argue for the continued investigation of the Hia proteins as vaccine candidates for the prevention of NTHI disease.Otitis media remains a significant health problem for children in this country and elsewhere in the world (10, 11). Most children in the United States have had at least one episode of otitis by their third birthdays, and one-third have had three or more episodes (34). In addition to the short-term morbidity and costs of this illness, the potential for delay or disruption of normal speech and language development in children with persistent middle ear effusions is a subject of considerable concern (33, 41). Experts in the field have strongly recommended that efforts be made to develop safe and effective vaccines for the prevention of otitis media in young children (20). Although the total prevention of disease will be a difficult goal to achieve, the prevention of even a portion of cases would be beneficial, given the magnitude and costs of the problem.Bacteria, usually in pure culture, can be isolated from middle ear exudates in approximately two-thirds of the cases of acute otitis media (16, 35). Streptococcus pneumoniae is the most common bacterial pathogen recovered in all age groups, with isolation rates commonly ranging from 35% to 40% (16, 35). Nontypeable Haemophilus influenzae (NTHI) is the second-most-common bacterium recovered and accounts for 20% to 30% of the cases of acute otitis media and a larger percentage of the cases of chronic and recurrent disease (26). Interestingly, since the introduction of the pneumococcal conjugate vaccine as part of the regular childhood vaccine schedule, NTHI has become an even more common cause of acute and recurrent middle ear disease, often surpassing S. pneumoniae in the frequency of recovery from middle ear specimens (12, 26). Many different antigens have been suggested as possible NTHI vaccine candidates (1, 3, 18, 29, 30, 42). Outer membrane proteins appear to be the principal targets of bactericidal and protective antibodies (22), and as a group, they have been the major focus of vaccine development efforts. Table Table11 summarizes the relevant characteristics of some of the leading vaccine candidates currently under active investigation.

TABLE 1.

Potential vaccine antigens of NTHI
AntigenMolecular mass (kDa)Osonophagocytic or bactericidal antibodyProtects animalsAdherence factorReference(s) or source
LOS3-5YesYesYes23, 46
PilA16Not knownYesYes2
OMP P616YesYesNo17, 30
OMP 2626Not knownYesNo18
OMP P5 fimbrin36Not knownYesYes4
OMP P236-42YesYesYes29
Protein D42Not knownYesNo36
HMW1/HMW2100-150YesYesYes5, 44
Hia100->250YesNot knownYesThis study
Open in a separate windowIn our early work, we demonstrated that the development of bactericidal antibodies in the sera of children recovered from acute NTHI otitis media was associated with the appearance of serum antibodies directed against highly immunogenic high-molecular-weight proteins (6). This work subsequently led to the identification and characterization of the HMW1/HMW2 family of proteins (7). The HMW1/HMW2 proteins have subsequently been shown to be major adhesins of NTHI (37), as well as targets of opsonophagocytic (43, 44) and protective antibodies (5). The HMW1/HMW2-like proteins are expressed by approximately 75% of NTHI strains (7, 38). The 25% of NTHI strains that do not express HMW1/HMW2-like proteins express immunogenic high-molecular-weight proteins that are recognized by human convalescent-phase serum antibodies (6). Almost all such HMW1/HMW2-negative strains have subsequently been shown to express a second distinct class of adhesin known as Hia (9). Nearly all NTHI strains that lack HMW1/HMW2 proteins contain an hia gene and express an Hia protein, and conversely, strains that express HMW1/HMW2 proteins lack an hia gene (9, 38).The Hia proteins are members of a large family of bacterial proteins known as autotransporters that are found in many gram-negative bacteria (24, 48). Autotransporters are typically expressed as precursor proteins with three functional domains, an N-terminal signal peptide, an internal “passenger domain,” and a C-terminal translocator or beta domain (24, 27). The signal peptide directs the protein across the inner bacterial membrane, and the translocator or beta domain forms a β-barrel structure in the outer membrane through which the passenger domain is extruded to the bacterial surface (24, 27). On the bacterial surface, the passenger domain is usually cleaved, but in the case of the Hia protein, the protein remains uncleaved and cell associated, and it functions on the cell surface as an important adhesin for Hia-expressing NTHI strains (25, 48). At present, members of the autotransporter family expressed by other gram-negative bacteria are under active investigation as possible vaccine candidates (13, 28, 40).No information is currently available concerning the functional activity of antibodies directed against the Hia proteins of NTHI. The objective of the present study was to assess the ability of antibodies directed against the Hia proteins to mediate opsonophagocytic activity. In the work described here, we demonstrated that the Hia proteins are indeed targets of opsonophagocytic antibodies, and furthermore, we demonstrated that epitopes recognized by such antibodies are also present on the Hia proteins of heterologous NTHI strains.  相似文献   

13.
14.
We developed a new Neisseria meningitidis multiplex PCR to determine six serogroups, including X-specific primers, and to allow direct W135/Y discrimination. This assay offers a simple and low-cost method for serogrouping N. meningitidis from cerebrospinal fluid that could be useful in Africa.Meningitis is one of the various forms of meningococcal diseases, which may occur as epidemics and severe sepsis, often with a fatal outcome (4). An etiologic diagnosis is confirmed by the isolation of Neisseria meningitidis from cerebrospinal fluid (CSF), blood, or other body fluids. Characterization of meningococci by serogroup is compulsory to investigate disease outbreaks and before starting vaccination campaigns. Twelve meningococcal serogroups identified by the capsular polysaccharide antigens are distinguished and chemically defined. Patient strains are nearly always encapsulated, but only six of these groups (A, B, C, W135, Y, and more recently X) (3) have significant pathogenic potential, causing more than 90% of the invasive disease worldwide (12).Vaccines are available against strains of N. meningitidis belonging to serogroups A, C, W135, and Y but not against strains of serogroups B or X. Hence, serogrouping is really necessary to better apply preventive measures (14). Recent outbreaks due to serogroup X have been described in Niger and Ghana (3, 5, 8); thus, the detection of serogroup X becomes essential in African countries and a low-cost assay needs to be developed.Standard PCR-based assays are routinely used for the detection and identification of serogroups A, B, C, W135, and Y. Simultaneous identification of serogroups A, B, C, W135, and Y has been described in one previous report (14) but a subsequent PCR was necessary to distinguish between W135 and Y. Recently, a separate standard multiplex PCR has also been described for the detection of serogroups 29E, X, and Z (1). Alternatively, a real-time quantitative PCR analysis has also been developed for simultaneous serogroup determination (10), but such an assay might be too expensive for African laboratories.Here we report for the first time a standard multiplex PCR-based assay for rapid simultaneous identification of the six serogroups A, B, C, W135, Y, and X, with direct discrimination between W135 and Y. We used oligonucleotides in orf-2 of a gene cassette required for the biosynthesis of the capsule of serogroup A (13) in the synD and synE genes encoding the polysialyltransferase responsible for the polymerization of polymers of sialic acid containing polysaccharides in strains belonging to serogroups B and C, respectively, and in the synF and synG genes, encoding proteins that catalyze the linkage of sialic acid with other sugars in the polysaccharide chains of serogroups Y and W135, respectively (6, 10); these primers were those described by Taha (14). The sizes of the expected amplicons are 450 bp (B), 400 bp (A), 250 bp (C), and 120 bp (W135). For direct identification of serogroup Y, the reverse primer in the synF gene was identical to that previously described (14), but a new forward primer in the synF gene was designed to amplify a Y-specific 75-bp product, distinct from the 120-bp W135-specific amplicon. The 3′ end of the crtA gene, which encodes an outer membrane protein involved in capsule transport, is highly conserved among meningococci irrespective of serogroups, but the 5′ end is very variable (7). Both forward and reverse primers specific to serogroup X were then designed within this variable region, giving rise to a serogroup X-specific 190-bp amplification product (Table (Table11).

TABLE 1.

Oligonucleotides used in this study
OligonucleotideSequence (5′-3′)Gene amplified (serogroup)Amplicon length (bp)Source or reference
98-28GCAATAGGTGTATATATTCTTCCorf-2 (A)40014
98-29CGTAATAGTTTCGTATGCCTTCTTorf-2 (A)40014
98-19GGATCATTTCAGTGTTTTCCACCAsynB (B)45014
98-20GCATGCTGGAGGAATAAGCATTAAsynB (B)45014
98-17TCAAATGAGTTTGCGAATAGAAGGTsynE (C)25014
98-18CAATCACGATTTGCCCAATTGACsynE (C)25014
98-32CAGAAAGTGAGGGATTTCCATAsynG (W135)12014
98-33CACAACCATTTTCATTATAGTTACTGTsynG (W135)12014
98-36ACGATATCCCTATCCTTGCCTAsynF (Y)75This study
98-35CTGAAGCGTTTTCATTATAATTGCTAAsynF (Y)7514
XFAATGCAAATTCAATTGGTTGctrA (X)190This study
XRCTTGGGCCTTATACAAAGACctrA (X)190This study
Open in a separate windowThe aim of this study was to assess this multiplex PCR assay using DNA extracted either directly from CSF samples (n = 13) or from CSF-isolated meningococcal strains (n = 32). Some strains were also obtained from blood (n = 2), expectoration (n = 1), or pharyngeal carriage (n = 1). The biological source of one sample was not provided. A previous serogroup determination had been performed by agglutination tests (Pastorex and/or Difco) or previous PCR analyses as follows: A (n = 9), B (n = 8), C (n = 4), X (n = 11), W135 (n = 12), and Y (n = 7). Strains belonging to other bacterial species responsible for meningitis, Haemophilus influenzae (n = 5) or Streptococcus pneumoniae (n = 5), were used as negative controls. Neisseria meningitidis samples are listed in Table Table2,2, also indicating the origin (country, source) and the genotype determined by MLST analysis (sequence type [ST]). Strains belonging to different STs within one serogroup were chosen when data were available.

TABLE 2.

Samples tested in this study and PCR resultsd
SampleSerogroupaSample sourceCulturebCountry of originSequence typeMultiplex PCRc
2008-183PACarriageYesNigerNDA
2008-185ACSFYesBurkina Faso2859A
2008-196ACSFYesBurkina Faso2859A
2008-197ACSFYesBurkina Faso2859A
2008-225ACSFYesBurkina Faso2859A
2008-226ACSFYesBurkina Faso2859A
2008-227ACSFYesBurkina Faso2859A
2007-155ACSFNoNiger7A
2007-158ACSFNoNiger7A
VN73BCSFYesVietnamNDB
2008-048BCSFYesVietnam6985B
2008-049BCSFYesVietnam6985B
2008-308BCSF + bloodYesFrance33B
2008-309BNAYesVietnam1576B
2008-315BBloodYesFrance162B
2007-053BCSFYesFrance269B
2007-055BCSFYesFrance1403B
2008-219CCSFYesFrance6969C
2007-047CCSF + bloodYesFrance11C
2007-054CBloodYesFrance6347C
2004-178CCSFYesFrance3747C
2008-223XCSFYesBurkina Faso181X
2008-267XCSFNoTogo181X
2008-269XCSFNoTogo181X
2008-270XCSFNoTogo181X
2008-271XCSFNoTogo181X
2007-114XCSFNoNiger181X
2007-151XCSFNoNiger5789X
2007-340XCSFYesBurkina Faso181X
2006-078XCSFYesNiger181X
2006-087XCSFYesNiger5789X
2008-109W135CSFYesBenin2881W135
2008-218W135CSFYesBurkina Faso2881W135
2008-278W135CSFNoTogoNDW135
2008-279W135CSFNoTogoNDW135
2008-280W135CSFNoTogoNDW135
2007-105W135CSFNoChad11W135
2007-107W135CSFYesBenin2881W135
2007-127W135CSFNoNiger2881W135
2007-166W135CSFYesChad2881W135
2007-448W135CSFYesTogo2881W135
2007-449W135CSFYesTogo2881W135
2007-457W135CSFYesTogo2881W135
2004-266W135CSFYesBurkina FasoNDW135
2008-235YCSFYesBurkina Faso4375Y
2007-111YBloodYesFrance4171Y
2007-188YCSFYesBurkina Faso2880Y
2007-443PAExpectorationYesFrance167Y
2006-092YCSFYesNiger4375Y
2004-035YCSFYesBenin767Y
2004-263YCSFYesBurkina FasoNDY
Open in a separate windowaSerogroup determined by agglutination tests or previous PCR analysis.bDNA extracted with (yes) or without (no) culture.cSerogroup determined by multiplex PCR (this study).dPA, polyagglutination; NA, not available; ND, not determined.Bacterial DNA was isolated using the High Pure PCR template kit (Roche), by following the manufacturer''s instructions, directly from CSF samples or from colonies isolated on blood-agar plates. For serogrouping, the amplification reaction was performed on 50 ng DNA using primers specific to groups A, B, C, W135, Y, and X (Table (Table2).2). The reaction was performed in a 25-μl final volume comprising 1 U GoldStar Red DNA polymerase (Eurogentec), 1× polymerase buffer, 300 nM of each primer, 200 nM of each deoxynucleoside triphosphate (Roche), and 2.5 mM MgCl2. The PCR cycles were as follows: denaturation at 94°C for 5 min; amplification at 94°C for 30 s, 55°C for 30 s, and 72°C for 45 s for 35 cycles; and 72°C for 10 min. Amplification products were visualized on a 4% agarose gel stained with ethidium bromide so that those with small sizes could be easily separated.The multiplex PCR described here perfectly determined the serogroup of N. meningitidis in all the samples analyzed (Fig. (Fig.1).1). No amplification could be observed with the other bacterial species used in this study. Each sample showed one single specific amplification product, which makes the results of our PCR easy to read, compared to the recent multiplex PCR reported by Bennett et al. (2) showing multiple bands.Open in a separate windowFIG. 1.Multiplex PCR amplification of the siaD/synB and siaD/synE (serogroups B and C), synG and synF (serogroups W135 and Y), orf-2 (serogroup A), and ctrA (serogroup X) genes from samples belonging to serogroup A (lanes 1 to 8), B (lanes 9 to 17), C (lanes 18 to 21) (A) and X (lanes 22 to 31) and W135 (lanes 32 to 43) and Y (lanes 44 to 50) (B). DNA from other species, Haemophilus influenzae (lanes 51, 52, 54, 55, 57) and Streptococcus pneumoniae (lanes 53, 56, 58, 59, and 60), were used as negative controls. PCR products were separated on a 4% agarose gel. Molecular sizes are indicated.We particularly demonstrate that this multiplex PCR allows (i) the direct distinct discrimination between serogroups W135 and Y, using the new forward Y-specific primer in the synF gene, and (ii) the specific identification of serogroup X strains with new primers in the 5′ end of the ctrA gene.Although this PCR included oligonucleotides specific to serogroups B and C, the goal of this study was particularly to develop a rapid, simple, and low-cost standard multiplex PCR that could be easily used in African countries for the determination of the main serogroups encountered in the meningitis belt. Thus, this PCR was particularly designed to directly distinguish between W135 and Y serogroups so that it would be more convenient. Comparison of the nucleotide sequences of the synG and synF genes of W135 and Y strains, respectively (GenBank accession numbers AY234196 and AY234201), shows that the only variable region is located within the 120-bp sequence corresponding to the W135/Y amplicon obtained with the primers described by Taha (14). Since these specific primers show only about a 30% difference, we looked within this 120-bp region to find a possible oligonucleotide that could be used as another W135- or Y-specific primer, giving rise to an amplicon of a smaller size. We then designed the new Y-specific 5′ primer, 98-36, leading to the amplification of a 75-bp product, in combination with the 3′ Y-specific primer, 98-35. Figure Figure11 shows that W135- and Y-specific amplicons can be easily discriminated on a 4% agarose gel. The nucleotide sequence of this new forward Y-specific primer showed only 26% difference from the corresponding W135 sequence; it had been first tested in single PCR analyses associated with either the reverse Y primer, 98-35, or the reverse W135 primer, 98-33, and was shown to be effectively Y specific (not shown).Moreover, due to the recent emergence of meningococcus X outbreaks (3, 5, 8), we also focused on the use of a multiplex PCR assay that could be able to identify serogroup X strains in biological samples. As already mentioned above, the aim was to develop this multiplex PCR for African countries, meaning that it needs to be simple, rapid, and low cost. It was then necessary to also include X-specific primers. Primers previously described (1) were shown to work at 62.5°C, generating a 525-bp amplicon, but could also amplify a 650-bp product for some serogroup A strains, albeit different from the X-specific product and from the 400-bp A-specific amplicon obtained with the orf-2 primers (Table (Table1).1). Since our PCR was based on an annealing temperature of 55°C, we designed new forward and reverse X-specific primers using the Primer3 v0.4.0 program (http://frodo.wi.mit.edu/) so that they amplify a product with a distinguishable size at 55°C. The two oligonucleotides, XF and XR, were chosen within the 5′ end of the ctrA gene (GenBank accession number AY289931), which was reported to be very variable and group specific (7), and generated a 190-bp amplicon. We demonstrate here that these two oligonucleotides amplified a serogroup X-specific product (Fig. (Fig.1)1) and that primers can be chosen within the 5′ variable crtA region for serogroup determination.As shown in Table Table2,2, the identification of the serogroup with our PCR is in agreement with the previous serogroup determination obtained by agglutination assays. Interestingly, the multiplex PCR allowed the serogroup determination of two samples, 2008-183 and 2007-443, which presented a polyagglutination status. Thus, it confirms that serogrouping by PCR could be helpful when agglutination tests fail or when culture is negative or not available. Indeed, we show that the multiplex PCR worked perfectly on DNA extracted directly from the CSF samples (n = 13) included in our study (Table (Table2),2), particularly those from Togo collected in 2008 (serogroups X and W135). These samples were indeed also part of another recent study in which serogroup X Neisseria meningitidis (ST 181) was reported to cause substantial disease in central Togo (on the border of the meningitis belt) during 2007 and 2008 (11), suggesting that the earlier serogroup X N. meningitidis outbreaks in Niger (3) were not localized events but had expanded to surrounding areas. The recent report on the high prevalence of serogroup X carriage among children in northern Ghana also strongly suggests the need for surveillance of this potentially epidemic variant (8). Additionally, serogroup X N. meningitidis has also recently been reported as being involved in an outbreak of meningococcal disease in western Kenya, outside the meningitidis belt, highlighting the presence of serogroup X in East Africa (9). The emergence of serogroup X meningococcal clones in the various countries that make up the African meningitidis belt might lead to a potential epidemic in place of or in addition to serogroup A epidemics, as it was seen with the expansion of serogroup W135 (15). Thus, the identification of serogroup X strains, in addition to the other serogroups, is of particular importance in African countries, pointing out the need for efficient diagnosis tools to detect the causative agent of acute bacterial meningitis in order to adapt the most appropriate treatment or preventive strategies. The multiplex PCR reported here could be such an helpful tool for laboratories in Africa, allowing low-cost, rapid, simple, and efficient prediction of the six main serogroups; if necessary, this PCR might be possibly more adapted to Africa by using only primers specific to serogroups A, W135, X, and Y, which are the four serotypes encountered most frequently in this part of the world.  相似文献   

15.
Six hundred ninety nonduplicate isolates of Acinetobacter species were identified using a combination of detection of blaOXA-51-like and rpoB sequence cluster analysis. Although most isolates were identified as A. baumannii (78%), significant numbers of other species, particularly A. lwoffii/genomic species 9 (8.8%), A. ursingii (4%), genomic species 3 (1.7%), and A. johnsonii (1.7%), were received, often associated with bacteremias.The Acinetobacter genus consists of more than 30 species, of which A. baumannii, and to a lesser extent genomic species 3 and 13TU, are most associated with the clinical environment and nosocomial infections. Identification within the genus is difficult and requires molecular methods, and these organisms are rarely identified to the species level using appropriate methods (3, 4, 6, 24). While A. baumannii can relatively readily be identified by detection of blaOXA-51-like, the intrinsic carbapenemase gene in this species (22), the use of rpoB sequencing has facilitated identification across the genus (5, 8), and it is becoming clear that other species, such as A. ursingii (which has also been called A. septicus [13]) and A. haemolyticus, are also important nosocomial pathogens in some cases (3, 4, 5, 6, 9, 24). rpoB sequencing has advantages over such techniques as amplified ribosomal DNA restriction analysis (ARDRA), based on 16S rRNA gene sequences, and those based on the 16S-23S intergenic spacer region, since there is a relatively high degree of polymorphism in this gene among the Acinetobacter species, and sequences are available for all the currently described species (8), including those more recently described (11-14).Our laboratory provides a typing and identification service for hospitals in the United Kingdom and Republic of Ireland for this organism, and here we describe the species found among 690 isolates of Acinetobacter, each from a different patient, submitted over a 20-month period during 2008/2009, from some 135 hospitals. While A. baumannii, which is frequently associated with outbreaks, is still by far the most common of the Acinetobacter species among clinical isolates, it is clear that lesser-known species, such as A. lwoffii, A. ursingii, and A. parvus, are regularly encountered, have been associated with serious infections, and may represent emerging pathogens.The majority of isolates were received as Acinetobacter species for typing, identification, and/or susceptibility determinations and were subjected to a multiplex PCR for detection of blaOXA-58-like, blaOXA-23-like, blaOXA-51-like, blaOXA-40-like, and class 1 integrase genes, as described by Turton et al. (22), with the addition of primers for blaOXA-58-like (27). Detection of blaOXA-51-like was regarded as a positive identification of A. baumannii; the identity of a proportion of such isolates was also checked by rpoB sequence cluster analysis; in addition, many were shown by pulsed-field gel electrophoresis (PFGE) to be further representatives of strains previously identified as A. baumannii, and all gave amplicons in a PCR to amplify variable-number tandem repeat loci found in A. baumannii (23). The remaining isolates were identified by rpoB sequence cluster analysis using primers described by La Scola et al. (8). Briefly, a 903-bp portion of the rpoB gene covering two variable regions was amplified using the primers Ac696F and Ac1598R. Amplicons were treated with Exo-SAP-IT (USB Corporation, Cleveland, OH) according to the manufacturer''s instructions, and four sequencing reactions were carried out, using the primers Ac696F, Ac1055F, Ac1093R, and Ac1598R, respectively. The resulting fragments were separated on a Beckman-Coulter CEQ8000 genetic analysis system or an Applied Biosystems 3730 DNA analyzer and aligned, and sequences of a 765-bp fragment corresponding to nucleotides (nt) 2964 to 3728 of the coding sequence were compared using the BioNumerics software program; a phylogenetic tree was constructed using the MEGA software program (http://www.megasoftware.net/mega41.html) (19) (Fig. (Fig.1).1). Sequences of reference isolates were also included, and isolates were identified both by BLAST searches and according to which species they clustered most closely with; as more isolates were added to the database, a measure of the extent of sequence diversity associated with each species was obtained, allowing determination of whether isolates clustered closely enough to be assigned to that species. Susceptibilities to at least 16 antibiotics were determined by agar dilution and interpreted using British Society of Antimicrobial Chemotherapy (BSAC) breakpoints (http://www.bsac.org.uk). Pulsed-field gel electrophoresis (PFGE) of ApaI-digested genomic DNA was carried out as described previously (21).Open in a separate windowFIG. 1.Phylogenetic tree of sequences corresponding to nt 2964 to 3728 of the rpoB coding sequence of isolates of Acinetobacter species. Clinical and reference isolates were included, with GenBank accession numbers being included with the latter. Phylogenetic analyses were conducted in MEGA4 (19) using the neighbor-joining method. One thousand replicates were used for bootstrap analysis.Using this method, we were able to identify most isolates to the species level, although isolates of A. lwoffii and genomic species 9 clustered too closely to be distinguished from one another, as did those of A. baylyi and genomic species 11 (A. guillouiae). Similarly, as has been observed by others (26), A. grimontii and A. junii could not be distinguished and are likely to be a single species. Three isolates (UA1 to -3), two of which had highly similar rpoB sequences, did not cluster closely enough with any of the described species and may represent new species. For all three, the closest currently described species is A. towneri. Isolates that were identified as A. radioresistens were PCR positive for blaOXA-23-like, the naturally occurring carbapenemase gene in this species (17), consistent with the identification. Detection of OXA carbapenemase genes among species other than A. baumannii was rare, with the only other examples being two isolates, one of genomic species 3 and the other of genomic species 16, with blaOXA-58-like.As expected, the majority (78.0%) of isolates were identified as A. baumannii; with A. lwoffii/genomic species 9 (8.8%), A. ursingii (4.0%), genomic species 3 (1.7%), A. johnsonii (1.7%), and A. parvus (1.3%) accounting for most of the rest (Table (Table1).1). In most cases, these non-A. baumannii isolates were from blood and were associated with bacteremia or septicemia. Of note is that some isolates (of A. johnsonii, genomic species 13, and A. beijerinckii) were implicated in endocarditis; this has been described for other Acinetobacter species (7, 18, 28) but not these and provides further evidence that these organisms can cause life-threatening infections. The relatively high incidence of A. ursingii, which exceeded those of both genomic species 3 and 13TU, was unexpected but agrees with observations from hospitals in the Netherlands and Northern Ireland (2, 24). It has previously been documented that this organism has the capacity to cause bloodstream infections in hospitalized patients (4, 9, 11), and it has been associated with a nosocomial outbreak of bloodstream infections in a neonatal intensive care unit, in which two babies died (6). The isolates in the present study were from 28 patients in 24 centers, suggesting that they were not epidemiologically related; nevertheless, three isolates, each from different centers, formed a cluster by PFGE (see Fig. S1 in the supplemental material). Similarly, A. lwoffii has previously been linked with catheter-related bloodstream infections (20), as has A. parvus (12).

TABLE 1.

Submissions of Acinetobacter sp. other than A. baumannii received during the study period and associated clinical informationa
SpeciesNo. of patients (% of total)No. of hospitalsSource
Clinical information (combined)
BloodSputumCSFbEyeWound swabUrineOther/not given
A. lwoffii/genomic sp. 961 (8.8)4841142418Sepsis, bacteremia, pyrexia, meningitis, post hemorrhagic hydrocephalus, rigors, pneumonia, cellulitis, rash, ophthalmia neonatum, UTI,c abscess
A. ursingii28 (4.0)241711225Septicemia, line infection, pyrexia, pneumonia, chest infection, sticky eye, pancreatitis
Genomic species 312 (1.7)93514Septic shock, bacteremia, pyrexia
A. johnsonii11 (1.6)10632Septicemia, endocarditis, abscess, UTIc
A. parvus9 (1.3)99Bacteremia, line infection, pyrexia
Genomic species 136 (0.9)5411Septic shock, endocarditis, pyrexia
A. radioresistens4 (0.6)422No information provided
A. baylyi/genomic sp. 113 (0.4)321Bacteremia, corneal ulcer
A. calcoaceticus3 (0.4)312Infected burn, ear discharge
Unassigned3 (0.4)321Bacteremia, pyrexia
Genomic species 13TU2 (0.3)211Pyrexia, pneumonia
A. haemolyticus2 (0.3)211Meningitis following neurosurgery
A. junii2 (0.3)22Sepsis
A. beijerinckii1 (0.1)11Endocarditisd
A. bereziniae1 (0.1)11Chronic obstructive pulmonary disease
A. gyllenbergii1 (0.1)11No information provided
A. schindleri1 (0.1)11No information provided
Genomic species 15TU1 (0.1)11Pneumonia
Genomic species 161 (0.1)11No information provided
Open in a separate windowaPercentages given are of all 690 submissions of Acinetobacter sp., of which 538 (78%) were A. baumannii. Only one isolate per patient was included, with the exception of a single case in which isolates of two different species were received from one patient.bCerebrospinal fluid.cUTI, urinary tract infection.dPatient also had A. johnsonii.Antibiotic susceptibility investigation of isolates of A. ursingii (n = 14), A. lwoffii/genomic species 9 (n = 5), A. johnsonii (n = 2), genomic species 3 (n = 3), 13 (n = 5), and 13TU (n = 1), A. calcoaceticus (n = 2), A. schindleri (n = 1), A. haemolyticus (n = 1), A. bereziniae (n = 1), A. gyllenbergii (n = 1), and A. beijerinckii (n = 1), largely requested by the sending laboratories, revealed that it was those of A. lwoffii/genomic species 9 and A. schindleri that were susceptible to the greatest number of antibiotics, with isolates of genomic species 3, 13, and 13TU, A. bereziniae, and A. gyllenbergii exhibiting resistance (full or intermediate) to 8 or more of the 17 antibiotics tested (see Table S1 in the supplemental material). An isolate of genomic species 3 (genomic species 3_3) displayed resistance to 13 antibiotics, including the carbapenems; it was PCR positive for blaOXA-58-like, explaining the latter resistance. However, most of the non-A. baumannii isolates tested were susceptible to amikacin, gentamicin, the carbapenems, sulbactam, ciprofloxacin, and minocycline, in stark contrast to the situation with A. baumannii. Isolates of A. ursingii were resistant to up to eight of the antibiotics tested. There were some notable differences between the species; all isolates tested of genomic species 13 and that of A. beijerinckii were resistant to colistin, one of the last antibiotics useful for treating A. baumannii infections; isolates of the other species tested were susceptible. A reference strain of genomic species 13 (ATCC 17905) was also found to be resistant to colistin, suggesting this resistance is intrinsic in this species, in agreement with recent observations by others (15).Three patients carried a single strain of genomic species 3, and a further strain was shared by two patients (see Fig. S1 in the supplemental material), suggesting that transmission between patients may have occurred.As identification of species of Acinetobacter other than A. baumannii becomes more widely undertaken, their prevalence and the nature of infections associated with them will become clearer. Evidence from isolates submitted to our laboratory suggests that some of these species are associated with clinical infections in significant numbers of cases. Some isolates exhibited multiresistance, which may impact on therapy; carbapenem resistance in isolates of genomic species 3 (1) and colistin resistance in isolates of genomic species 13TU (16) have previously been described. In addition, some species, particularly genomic species 3, 13TU, and A. ursingii, have been associated with outbreaks (6, 10, 24, 25), suggesting that they may become increasingly important.  相似文献   

16.
Three patients admitted to a Greek hospital were infected with Serratia marcescens isolates that exhibited reduced susceptibility to carbapenems and harbored Klebsiella pneumoniae carbapenemase (KPC) enzymes. In two of these cases, the patients were initially infected by carbapenem-susceptible S. marcescens isolates. Molecular typing and plasmid analysis suggested that all three patients had clonally indistinguishable isolates of S. marcescens that acquired a plasmid-mediated blaKPC-2 gene during the hospitalization.The emergence of organisms producing class A β-lactamases of Klebsiella pneumoniae carbapenemase (KPC) types is a major clinical and public health concern (2, 10). They are typically transposon-encoded determinants and therefore have the potential to disseminate between plasmids and across bacterial species (9). K. pneumoniae remains the species most likely to harbor blaKPC genes (2, 8, 10, 13). Nevertheless, other species of Enterobacteriaceae, as well as species of nonfermenters, have been occasionally reported to exhibit this pattern of resistance (3, 15, 16, 19). In Serratia marcescens carbapenemase production is mostly attributed to class B metallo-β-lactamases (MBLs) as well as to the class A SME family of carbapenemases (14). Only recently has carbapenem-hydrolyzing activity in S. marcescens been attributed to the production of a KPC in China and the United States (3, 17, 23). We report the spread of three blaKPC-possessing S. marcescens isolates in a Greek intensive care unit and give in vitro and in vivo evidence of the potential acquisition of such plasmid-borne resistance genes.In December 2008 a 77-year-old woman was admitted to the unit following a neurosurgical procedure. Ampicillin-sulbactam was administered postoperatively. Two months after her admission, the patient developed pneumonia, and bronchial lavage samples grew a S. marcescens isolate (S53) that exhibited reduced carbapenem susceptibility. The patient was successfully treated with tigecycline and inhaled colistin.Approximately 5 months later, in April 2009, a 49-year-old man was admitted following the surgical removal of a subcranial hematoma. He remained febrile while receiving empirical prophylactic antibiotic treatment with ampicillin-sulbactam, vancomycin, and amikacin. Bronchial lavage samples produced a carbapenem-susceptible S. marcescens isolate (S51) and a carbapenem-resistant K. pneumoniae isolate (K72). Antibiotic therapy was changed to meropenem and colistin. A second episode of pneumonia occurred approximately 2 weeks later, and a new S. marcescens isolate (S54) with reduced susceptibility to carbapenems was recovered from the bronchial lavage cultures. The patient was successfully treated with tigecycline and colistin.Finally, in April 2009 a 33-year-old woman was admitted following extensive surgery to the spine. The patient received ampicillin-sulbactam postoperatively. Approximately a week after her admission she presented with bacteremia due to a carbapenem-susceptible S. marcescens isolate (S52) and was treated with ciprofloxacin. Three weeks later the patient had an episode of pneumonia. Bronchial lavage sample cultures produced a new S. marcescens isolate (S55) that exhibited reduced susceptibility to carbapenems. Administration of ciprofloxacin in combination with gentamicin led to the successful treatment of this episode.The isolates that were recovered from the aforementioned patients were evaluated. Species identification was performed with the Vitek 2 system (bioMérieux, Marcy l''Étoile, France) and confirmed with API 20E (bioMérieux). MICs for several β-lactams, aminoglycosides, ciprofloxacin, tigecycline, and colistin were further determined by agar dilution according to CLSI recommendations (4). The MBL Etest (AB Biodisk, Solna, Sweden) and the combined disk test with imipenem and EDTA (5) were used to screen for MBL production. The phenotypic detection of KPC-possessing isolates was evaluated with the boronic acid potentiation disk test using meropenem as an antibiotic substrate (20). Extended-spectrum β-lactamase (ESBL) production was tested with the CLSI confirmatory test and in the KPC-possessing isolates with the modified CLSI ESBL confirmatory test, using clavulanate in combination with boronic acid (21).Isolates were screened for β-lactamase genes by PCR amplification using a panel of primers for the detection of all types of MBLs (6), KPCs (8), plasmid-mediated AmpCs in single PCRs for each gene (11), and ESBLs (22). PCR products were subjected to direct sequencing. Pulsed-field gel electrophoresis (PFGE) of SpeI- and of XbaI-digested genomic DNA of the S. marcescens isolates was performed with a CHEF-DRIII system (Bio-Rad, Hemel Hempstead, United Kingdom), and PFGE patterns were compared visually following previously described criteria (18). The potential for conjugational transfer of carbapenem resistance was examined in biparental matings using LB broth cultures and Escherichia coli 26R764 (lac+ Rifr) as the recipient strain. Transconjugant clones were screened on MacConkey agar plates containing rifampin (150 μg/ml) and amoxicillin (40 μg/ml) or ertapenem (0.5 μg/ml). MICs were determined by agar dilution (4). All β-lactamase genes were detected by PCR amplification. Plasmid extraction was performed by using an alkaline lysis protocol with E. coli 39R861 as a control strain (7).The susceptibility patterns of the S. marcescens and K. pneumoniae isolates are shown in Table Table1.1. S. marcescens isolates S51 and S52 were susceptible to all carbepenems and to most β-lactam antibiotics. Phenotypic tests were negative for carbapenemase and ESBL production, amplification of the β-lactamase genes confirmed the presence solely of the blaTEM gene, and DNA sequencing identified the gene in both isolates as blaTEM-1.

TABLE 1.

Antimicrobial susceptibility patterns of the study''s clinical isolates, their transconjugants, and the recipient strain, E. coli 26R764
Antibiotic(s)MIC (μg/ml)
Clinical isolates
Transconjugants
E. coli 26R764
S. marcescens S51 and S52S. marcescens S53, S54, and S55K. pneumoniae K72E. coli 26R764 S53, S54, and S55 (pTEM-1)E. coli 26R764 S54, and S55 (pKPC-2 and pTEM-1)E. coli 26R764 K72 (pKPC-2/TEM-1)
Imipenem0.52-4160.251-210.12
Meropenem0.122-4160.1210.50.06
Ertapenem0.12-0.258-16>320.122-40.50.06
Aztreonam0.12128-256>2560.1212880.06
Cefotaxime0.12>32>3211620.12
Cefepime0.58-16320.54-820.5
Ceftazidime0.128-163214-820.12
Cefoxitin0.25-0.516-323211621
Amoxicillin>256>256>256>256>256>2564
Amoxicillin-clavulanate64-12864>256832-128324
Piperacillin-tazobactam2-4>256>2562-4128322
Tigecycline1-2110.120.250.50.12
Colistin>16>160.50.50.50.50.5
Ciprofloxacin0.120.06-0.12160.030.030.0150.03
Amikacin2-816-323216-3216-3222
Tobramycin2-416-3232161611
Gentamicin1121211
Open in a separate windowS. marcescens isolates S53, S54, and S55 exhibited reduced susceptibility to imipenem and meropenem and were resistant to ertapenem. They were also resistant to various other β-lactam antibiotics and tobramycin; they also exhibited reduced susceptibility to amikacin but remained susceptible to gentamicin, ciprofloxacin, and tigecycline. The phenotypic tests were negative for MBL production, but the boronic acid potentiation disk test yielded a positive result for KPC production. The modified confirmatory test for ESBL production was negative. Amplification of the β-lactamase genes confirmed the presence of blaKPC and blaTEM genes, which were identified by sequencing analysis as blaKPC-2 and blaTEM-1, respectively.K. pneumoniae isolate K72 was resistant to all carbapenems, ciprofloxacin, and tobramycin and exhibited reduced susceptibility to amikacin. The isolate remained susceptible to gentamicin, colistin, and tigecycline. Phenotypic tests showed KPC production. PCR assays and subsequent DNA sequencing confirmed the presence of blaKPC-2 and blaTEM-1 genes.Analysis of the PFGE patterns of SpeI- and of XbaI-digested genomic DNA revealed that all five S. marcescens isolates, irrespective of their susceptibility patterns, were genetically indistinguishable (Fig. (Fig.1).1). For comparison we also tested five carbapenem-susceptible S. marcescens isolates that were recovered from separate patients hospitalized in the intensive care unit (ICU) before or during the period of the study (October 2008 to May 2009) and three historical S. marcescens isolates from our collections. All five isolates from the ICU belonged to the same pulsotype as the ones in our cases, whereas the historical isolates belonged to different pulsotypes (data not shown).Open in a separate windowFIG. 1.PFGE profiles of SpeI-digested genomic DNAs (left side) and of XbaI-digested genomic DNAs (right side) from S. marcescens isolates of the study (S51, S52, S53, S54, and S55) and a contemporary carbapenem-susceptible S. marcescens isolate (S47) from a patient hospitalized in the ICU before the study period. Lanes M, multimers of phage lambda DNA (48.5-kb) molecular mass markers.Conjugation experiments using individual parental KPC-possessing S. marcescens isolates S53, S54, and S55 showed that resistance to β-lactams was self-transferable. Transconjugants received either solely the blaTEM gene or both blaKPC and blaTEM genes, thus presenting two distinctly different susceptibility patterns, depending on the resistance genes which they acquired (Table (Table1).1). Those positive for both blaKPC and blaTEM genes exhibited carbapenem MICs which were higher than those of the recipient strain. Reduced susceptibility to amikacin and resistance to tobramycin were transferred to all transconjugants. Plasmid analysis revealed that the parental isolates contained two separate plasmids with molecular sizes of approximately 85 kb and 35 kb, which were both transferable. The plasmid bands of the transconjugants were extracted from the gel and used as templates for the amplification of the blaKPC and blaTEM genes, the specific products of which were amplified from the larger and smaller plasmid, respectively, suggesting that the blaKPC gene was located on the 85-kb plasmid while the blaTEM gene was on the 35-kb one. EcoRI restriction analysis was performed on the purified 85-kb plasmids of the transconjugants. Restriction patterns were identical (data not shown), suggesting that all three S. marcescens isolates had acquired the same blaKPC-2-bearing plasmid.Plasmid analysis of K. pneumoniae isolate K72 revealed the presence of only one plasmid of approximately 110 kb, which was transmissible and conferred resistance to β-lactams including carbapenems in the recipient strain. DNA extracted from plasmid bands of K72 and its E. coli transconjugant yielded positive results for both blaKPC and blaTEM genes. These transconjugants, however, presented a different susceptibility pattern in comparison to those which also contained both the blaKPC and blaTEM genes yet were derived from the S. marcescens isolates (Table (Table1).1). They were highly resistant to penicillin and combinations of penicillin with β-lactamase inhibitors and exhibited a lower increase in cephalosporin and aztreonam MICs, while MICs of imipenem, meropenem, and ertapenem were higher than those of the recipient strain yet lower than those of the S. marcescens transconjugants.The present study documents the first report of KPC production in S. marcescens isolates in Europe and offers evidence of the potential for acquisition of these plasmid-borne enzymes during long-term hospitalization. These KPC-positive S. marcescens isolates were acquired while the patients were hospitalized in the ICU, following in two cases an initial infection by a non-carbapenemase-producing S. marcescens isolate. The isolates were genotypically indistinguishable, indicating the dissemination of the plasmid harboring the blaKPC-2 gene within the same clone.KPC genes along with other resistance genes are typically located on mobile genetic elements (9, 12, 20). Previous studies have presented evidence which suggested the potential for horizontal dissemination of blaKPC genes between different clones of the same enterobacterial species (1) or even between different genera (3, 12, 15, 17). In one of our cases the patient was simultaneously infected with a K. pneumoniae isolate belonging to the clonal outbreak with which we are currently dealing in our hospital (data not shown). Our results, however, suggested that the blaKPC-2 gene of S. marcescens isolates was located on a different plasmid from that of the K. pneumoniae isolate. Therefore, it can be postulated that it was the plasmid-encoded blaKPC-2 gene of the index carbapenem-nonsusceptible S. marcescens isolate that disseminated. It cannot be excluded, however, that through a recombination event the blaKPC-2 gene was initially transferred from the K. pneumoniae clone to the carbapenem-susceptible S. marcescens clone. Although the initial source of infection could not be verified, all KPC-producing S. marcescens organisms were retrieved from bronchial lavage samples. It is therefore possible that the transfer of the plasmid-encoded KPC-2 enzyme occurred in the environment of the mixed bacterial flora typically found in bronchial secretions.Our report provides evidence that S. marcescens has the ability to easily acquire KPC carbapenemases. Successfully combating infections caused by these carbapenem-resistant S. marcescens pathogens poses a difficult challenge, given their intrinsic resistance to last-resort antibiotics, such as colistin, and their potential for dissemination.  相似文献   

17.
Ninety-six clinical isolates of Staphylococcus aureus from Nigeria were characterized phenotypically and genetically. Twelve multidrug-resistant methicillin (meticillin)-resistant S. aureus (MRSA) isolates carrying a new staphylococcal cassette chromosome mec element and a high proportion of Panton-Valentine leukocidin (PVL)-positive methicillin-susceptible S. aureus (MSSA) isolates were observed. The cooccurrence of multidrug-resistant MRSA and PVL-positive MSSA isolates entails the risk of emergence of a multidrug-resistant PVL-positive MRSA clone.Staphylococcus aureus is a major cause of both hospital- and community-acquired infections. In particular, methicillin (meticillin)-resistant S. aureus (MRSA) strains have been detected worldwide (15), and the prevalence of MRSA varies among countries and health institutions (2, 4, 27). The emergence of MRSA strains resistant to glycopeptides, as well as the increasing prevalence in the community (7), highlights the need for worldwide epidemiological studies of this pathogen. However, data about the epidemiology and prevalence of staphylococcal infections in Africa are scarce compared to information about such infections in the rest of the world. Studies have indicated low prevalences of MRSA in Nigeria, Somalia, and Tanzania (1), but high prevalences in South Africa, Zimbabwe, Kenya, Ethiopia, Egypt, Senegal, and the Ivory Coast have been reported (2, 9, 18). In addition, a recent study of the genetic diversity of S. aureus strains in a carriage population from Mali showed a high frequency of a Panton-Valentine leukocidin (PVL)-positive clone (25). The mechanisms for the emergence and spread of S. aureus clones in Africa are largely unknown; hence, the characterization of isolates may provide baseline information needed in establishing effective infection control measures in Nigeria.In this study, a total of 96 S. aureus isolates obtained between January and December 2007 from clinical specimens in six tertiary-care hospitals located in northeastern Nigeria were characterized. The isolates were identified based on standard bacteriological procedures (i.e., Gram staining and catalase, tube coagulase, and DNase testing), and susceptibilities to 12 antibiotics (Table (Table1)1) were determined by the disk diffusion method according to the CLSI guidelines. All the isolates were susceptible to vancomycin, fusidic acid, and mupirocin, and 12 (12.5%) were resistant to methicillin (i.e., oxacillin and cefoxitin resistant) (Table (Table1).1). The MRSA isolates were multidrug resistant (i.e., resistant to beta-lactams, along with at least three other classes of antibiotics), a finding similar to previously reported findings in other African countries like Morocco, Kenya, Cameroon, and South Africa (17). MRSA resistance to non-beta-lactams may further increase the medical expenses and the complexity of patient management, as well as morbidity and mortality rates since alternative antibiotics may not be affordable in many African countries.

TABLE 1.

Frequency of resistance of S. aureus (MSSA and MRSA) isolates to antibiotics
Antibiotic% of resistant isolates among:
MSSA isolates (n = 84)MRSA isolates (n = 12)All isolates (n = 96)
Penicillin91.610092.7
Oxacillin010012.5
Cefoxitin010012.5
Gentamicin2.410014.6
Erythromycin3.610015.6
Clindamycin0759.4
Co-trimoxazole8.310019.8
Ciprofloxacin3.610015.6
Rifampin2.402.1
Vancomycin000
Fusidic acid000
Mupirocin000
Open in a separate windowThe genetic diversity of the S. aureus population was assessed by the highly discriminatory double-locus sequence typing (DLST) method as described previously (20). This method is based on the analysis of partial sequences (about 500 bp) of the variable clfB and spa genes. A total of 41 clfB and 46 spa alleles were observed among the 96 S. aureus isolates evaluated by DLST, and these alleles represented 53 different DLST types. The eBURST software was used to cluster DLST types with identical sequences of at least one allele. Cluster analysis showed a low level of diversity among the 12 MRSA isolates, which belonged to a single cluster, while a high level of diversity among the methicillin-susceptible S. aureus (MSSA) isolates (i.e., 10 single-locus variant clusters and 23 singletons) was observed (Fig. (Fig.1).1). However, one cluster (DLST type 48-43) was predominant among the MSSA isolates. To confirm the relationship between S. aureus genotypes from Nigeria and worldwide clonal complexes (CCs), multilocus sequence typing (MLST) of at least one representative strain from each of the main DLST clusters (Table (Table2)2) was performed as described earlier (10). A total of 12 sequence types (STs) were observed among the 16 isolates analyzed by MLST. The MRSA cluster belonged to ST 241, while the predominant MSSA cluster was grouped into ST 152. With the exception of the genetically divergent ST 152, all the STs belonged to one of eight internationally recognized S. aureus CCs: CC1, CC5, CC8, CC9, CC15, CC30, CC80, and CC121.Open in a separate windowFIG. 1.DLST single-locus variant clustering of 96 S. aureus isolates from northeastern Nigeria by using eBURST. Each circle represents one DLST type, and the diameter of the circle reflects the frequency (i.e., the number of isolates) of that type. Linked DLST types differ at one of the two loci (clfB or spa). DLST types represented by only MSSA or MRSA isolates are indicated in black or gray, respectively. DLST types including PVL-positive isolates are indicated by asterisks (values in parentheses indicate the number of PVL-positive isolates/total number of isolates of that DLST type).

TABLE 2.

Multilocus STs of representative isolates of the major S. aureus DLST clones observed in hospitals in northern Nigeria
Strain no.IdentificationPVL statusaDLST typeMLST profileSTCCb
H18134MSSAPos361-30510-1-1-1-1-1-1New1
H18192MSSAPos340-461-new-1-1-1-1-1New1
H18109MSSAPos2-6410-8-1-4-12-1-1055
H18105MRSANeg28-302-3-1-1-4-4-302418
H18113MRSANeg28-3212-3-1-1-4-4-302418
H18132MSSAPos346-3003-3-1-1-4-4-388
H18196MSSAPos99-203-3-1-1-4-4-388
H18166MSSAPos338-3243-3-1-1-1-1-1099
H18127MSSAPos335-146New-13-1-1-12-11-13New15
H18118MSSAPos353-3102-2-2-7-6-3-23030
H18165MSSAPos46-3201-3-1-14-11-51-108080
H18129MSSAPos332-3036-5-6-new-7-14-5New121
H18101MSSAPos207-3346-5-6-2-7-14-5121121
H18100MSSAPos48-4346-75-49-44-13-68-60152NA
H18106MSSAPos48-31646-75-49-44-13-68-60152NA
H18172MSSAPos51-29946-75-49-44-13-68-60152NA
Open in a separate windowaPos, positive; neg, negative.bNA, not applicable.The clonality of MRSA strains was further confirmed by the typing of the staphylococcal cassette chromosome mec (SCCmec) elements observed in these isolates. Using the multiplex PCRs described by Kondo et al. (19) and Milheiriço et al. (23), we found that all the Nigerian isolates carried ccr type 5 and mec class A, as well as a J2 region similar to SCCmec type III. So far, the combination of these elements had been observed only in strains simultaneously carrying two SCCmec elements: SCCmec type III and SCCmercury (6, 19). However, we did not detect the presence of the mercury operon, suggesting that the Nigerian cassette does not carry SCCmercury and that it is a new SCCmec element. Recombination between different SCCmec types and/or local acquisitions may explain the emergence of new resistance elements (5, 12, 13). Recent data indicated that the local acquisition of SCCmec elements is a frequent phenomenon (24), highlighting the need to compare the molecular epidemiologies of MSSA and MRSA. However, we were not able to establish a link between these two categories since the genetic background of MRSA was clearly distinct from that of MSSA. SCCmec elements are often associated with resistance to multiple classes of antibiotics (8). However, resistance determinants may also be carried on other mobile elements, such as plasmids, transposons, and phages (22), and further investigations are needed to characterize this new cassette and unambiguously link the multidrug resistance pattern with this element.PVL is a toxin responsible for skin and soft-tissue infections and is often associated with community-acquired MRSA infections. All isolates were tested for the presence of PVL genes as described elsewhere (21). Among the 96 isolates, 41 (42.7%) were PVL positive, but the MRSA isolates were PVL negative (Fig. (Fig.1).1). The prevalence of PVL-positive S. aureus isolates in this study was high compared with the data in recent reports indicating prevalences of less than 10% in several European countries (16, 26). The Nigerian PVL-positive MSSA isolates were well distributed among the hospitals, and more (39%) were recovered from wound specimens than from any other source. Interestingly, the PVL genes were noted to be present in almost all the MSSA isolates in the predominant group (DLST cluster 48-43). This observation supports the finding of a high prevalence of PVL-positive S. aureus isolates (ST 152) in a carriage population from Mali (25). Furthermore, a PVL-positive community-acquired MRSA clone (ST 152) has been observed in the Balkans and Central Europe (3, 11, 14). The presence of PVL-positive MSSA isolates (ST 152) in Nigeria and Mali supports the hypothesis that the MRSA clone originated in Africa, migrated throughout central Europe, and acquired methicillin resistance (25).In conclusion, our analysis of isolates from northeastern Nigeria indicated a high number of PVL-positive MSSA isolates, along with a multidrug-resistant MRSA clone carrying a novel SCCmec element. The cooccurrence of multidrug-resistant MRSA and PVL-positive MSSA highlights the risk for the emergence of a multidrug-resistant PVL-positive MRSA clone. This point further underlines the need for surveillance studies in Africa and the enforcement of antibiotic stewardship and infection control to prevent further dissemination of epidemic clones.  相似文献   

18.
Haemophilus influenzae is a gram-negative bacterium that initiates infection by colonizing the upper respiratory tract. The H. influenzae Hap autotransporter protein mediates adherence, invasion, and microcolony formation in assays with respiratory epithelial cells and presumably facilitates colonization. The serine protease activity of Hap is associated with autoproteolytic cleavage and extracellular release of the HapS passenger domain, leaving the Hapβ C-terminal domain embedded in the outer membrane. Cleavage occurs most efficiently at the LN1036-37 peptide bond and to a lesser extent at three other sites. In this study, we utilized site-directed mutagenesis, homology modeling, and assays with a peptide library to characterize the structural determinants of Hap proteolytic activity and cleavage specificity. In addition, we used homology modeling to predict the S1, S2, and S4 subsite residues of the Hap substrate groove. Our results indicate that the P1 and P2 positions at the Hap cleavage sites are critical for cleavage, with leucine preferred over larger hydrophobic residues or other amino acids in these positions. The substrate groove is formed by L263 and N274 at the S1 subsite, R264 at the S2 subsite, and E265 at the S4 subsite. This information may facilitate design of approaches to block Hap activity and interfere with H. influenzae colonization.Haemophilus influenzae is a gram-negative coccobacillus that typically colonizes the nasopharynxes of children and adults. In addition, this organism is an important cause of localized respiratory tract and invasive disease. Nonencapsulated strains cause otitis media, sinusitis, conjunctivitis, and exacerbations of respiratory symptoms in individuals with underlying lung disease, bronchiectasis, and cystic fibrosis (21, 29). Encapsulated strains are an important cause of bacteremic diseases, including sepsis and meningitis (29). Colonization of the upper respiratory tract represents an early step in the pathogenesis of all Haemophilus disease and requires adherence to respiratory epithelium (19). Adherence is facilitated by a number of adhesins, including Hap, Hia, Hsf, HMW1/HMW2, P5, pili, and lipooligosaccharide (2, 18, 21, 26, 27).The Hap adhesin is ubiquitous among isolates of H. influenzae and is a member of the autotransporter family of virulence factors that have been recognized among many gram-negative bacteria (10). Autotransporters are synthesized as precursor proteins with three functional regions, namely, an N-terminal signal sequence, an internal passenger domain, and a C-terminal β-barrel domain (11). The signal sequence targets the precursor protein to the inner membrane and is then cleaved. The C-terminal β-barrel domain inserts into the outer membrane and facilitates presentation of the passenger domain on the bacterial cell surface. Depending upon the protein, the passenger domain remains covalently attached to the β-barrel domain, is cleaved but remains loosely attached to the β-barrel domain, or is cleaved and released entirely from the cell surface (10-12). Although diverse autotransporters share a similar structural organization and a common secretion mechanism, they vary widely in function, possibly reflecting adaptations to particular bacterial pathogenic niches. Autotransporters may function as adhesins mediating tissue tropism, as proteases involved in tissue degradation, as toxins causing host tissue damage, or as mediators of serum resistance (11).Hap is synthesized as a 155-kDa preprotein encompassing a 110-kDa passenger domain, HapS, and a 45-kDa β-barrel domain, Hapβ. The HapS passenger domain harbors adhesive activity that has been shown to promote interactions with human respiratory cells, as well as with extracellular matrix proteins such as fibronectin, laminin, and collagen IV (7). HapS is also responsible for bacterial aggregation via Hap-Hap interactions, contributing to microcolony formation (5). Adherence to epithelial cells and bacterial aggregation are mediated by the C-terminal 311 amino acids of HapS, whereas interaction with extracellular matrix proteins is mediated by the C-terminal 511 amino acids of HapS (7).Beyond possessing adhesive activities, the HapS passenger domain functions as a protease that directs the autoproteolytic cleavage of HapS from Hapβ, resulting in release of HapS from the bacterial cell surface (6). Hap autoproteolysis has been determined to occur at least partly through intermolecular cleavage on the surface of the bacterium and involves a catalytic triad consisting of residues His98, Asp140, and Ser243. Ser243 is part of the GDSGS motif that is characteristic of many serine proteases (6, 13). In wild-type Hap, cleavage occurs most abundantly at the L1036-N1037 peptide bond, which is referred to as the primary cleavage site (13). Site-directed mutagenesis of this site and N-terminal sequencing of the resulting cleaved Hap fragments has identified three additional cleavage sites, including L1046-T1047, F1077-A1078, and F1067-S1068, termed the secondary, tertiary, and quaternary cleavage sites, respectively (see Table Table2)2) (6). Alignment of the amino acid sequences at these cleavage sites has revealed a consensus target sequence motif that consists of (Q/R)(A/S)X(L/F) at the P4 through P1 positions (see Table Table2)2) (6).

TABLE 2.

Alignment of sequences at the Hap cleavage sites
Cleavage siteSequence alignmenta
P5P4P3P2P1P1′P2′P3′P4′P5′
Primary 1036-37DQSLLNALEA
Secondary 1046-47KQAELTAETQ
Tertiary 1077-78DQSLFALEAA
Quaternary 1067-68KRAVFSDPLL
Peptide librarybMAXXXXXNALEAKK (biotin)
Open in a separate windowaThe peptide bond where cleavage occurs is between the P1 and P1′ columns. According to nomenclature by Schechter and Berger (22), the residues N terminal to the cleavage site are labeled P1, P2,… Pn in the N-terminal direction, and the residues C-terminal to the cleavage site are labeled P1′, P2′… Pn′.bThe “X” represents any amino acid except Cys. The P′ residues were fixed based on the P1′ to P5′ sequence at the Hap primary cleavage site. The M and A residues at the N terminus were added in order to validate the first two residues in the N-terminal sequencing reaction of each peptide.Hap protease activity can be blocked by selected serine protease inhibitors, including secretory leukocyte protease inhibitor, a component of human respiratory secretions (14). This inhibition results in accumulation of full-length Hap in the outer membrane, with HapS on the bacterial surface. Similar to the effect of serine protease inhibitors, mutation of the active site serine in the Hap protease domain causes retention of HapS on the bacterial surface, increased adherence to epithelial cells, increased adherence to extracellular matrix proteins, increased bacterial aggregation, and increased microcolony formation, suggesting that Hap protease activity might play a regulatory role in bacterial adherence. Indeed, autoproteolytic cleavage of Hap results in reduced adhesive activity (5).In the present study, we sought to further elucidate the structural determinants of Hap proteolytic activity. We used site-directed mutagenesis and in vitro assays with a synthetic peptide library to characterize Hap cleavage site specificity, and we used homology modeling and site-directed mutagenesis to define the Hap substrate groove. We found that the two residues immediately N-terminal to Hap cleavage sites are critical for cleavage, with leucine preferred over larger hydrophobic residues or other amino acids in these positions. In addition, we defined the residues that likely form the Hap substrate groove.  相似文献   

19.
20.
The development of diagnostic susceptibility tests for CEM-101, a new fluoroketolide, was addressed by structured studies to determine the optimal disk diffusion test concentration and effects of various testing conditions or supplements and to establish the quality control (QC) ranges for reference broth microdilution tests. The 15-μg CEM-101 disk was selected, and MIC ranges for a total of four QC organisms were proposed, with only three doubling dilutions each that included 95.6 to 99.7% of values reported from the eight-laboratory investigation.CEM-101 is an investigational fluoroketolide antimicrobial agent with spectrum features superior to existing macrolides and most similar to telithromycin (1, 6, 8-16). This agent has potential clinical applications against community-acquired bacterial pneumonia (CABP) and uncomplicated skin and skin structure infections (uSSSI) caused by Staphylococcus aureus, Streptococcus spp., some Enterococcus spp., and fastidious Gram-negative pathogens such as Haemophilus influenzae and Moraxella catarrhalis (12, 15, 16). To prepare for CEM-101 in vitro susceptibility testing during clinical trials, the Clinical and Laboratory Standards Institute (CLSI; formerly NCCLS) standard broth microdilution susceptibility method (3) was performed with various testing parameters. A disk content ranging study was initiated to optimize the discrimination of susceptible and resistant isolate populations (2-5). Using the selected 15-μg CEM-101 disk concentration, a pilot MIC/disk diffusion zone diameter scattergram experiment was performed (4). In addition, a CEM-101 broth microdilution quality control (QC) study utilized the CLSI M23-A3 guideline (4) design. The QC study employed eight laboratories, three different manufacturers of media, and several antimicrobial control agents. The results are presented as proposed QC ranges in μg/ml for four ATCC strains (Staphylococcus aureus ATCC 29213, Enterococcus faecalis ATCC 29212, Streptococcus pneumoniae ATCC 49619, and Haemophilus influenzae ATCC 49247) (4, 5).The CLSI M07-A8 method (3) was utilized for susceptibility testing of CEM-101 under standard conditions as well as with the following test alterations (12 organisms) to assess the impact of changing test conditions: anaerobic and CO2 incubation environment; concentrations of 5 × 103 and 5 × 107 CFU/ml inoculum; lysed horse blood (LHB) and Haemophilus test medium (HTM) broths; medium pHs at 5, 6, and 8; 5, 10, and 20% added pooled human serum; trace and 50-mg/liter calcium ion contents; and polysorbate 80 (P-80) supplementation (0.000002 to 2.0%). CLSI standardized disk diffusion method M02-A10 (2) was performed with investigator-prepared 2-, 5-, 10-, 15-, and 30-μg CEM-101 disks to determine the optimal disk content to discriminate zone diameters for the susceptible or wild-type population from the resistant organism population. A total of 50 additional isolates, including staphylococci, enterococci, H. influenzae, and Enterobacteriaceae, were selected to calculate the correlation of zone diameters produced with the optimized 15-μg CEM-101 disk content when plotted against reference MIC test results (2-5).Eight laboratories were recruited to provide sufficient information for the MIC QC investigation (4). Four cation-adjusted Mueller-Hinton broth (CAMHB) media included lots produced by Difco Laboratories (Detroit, MI), Becton Dickinson (BD, Sparks, MD), and Oxoid (Hampshire, United Kingdom). Four CAMHB lots supplemented with 2 to 5% lysed horse blood or HTM were also supplied by Difco, BD, and Oxoid. CEM-101 was provided by Cempra Pharmaceuticals, Inc. (Chapel Hill, NC), and azithromycin, erythromycin, and clarithromycin were acquired from Sigma-Aldrich (St. Louis, MO). Panels were prepared by a certified good manufacturing practice (GMP) laboratory source (Trek Diagnostics, Cleveland, OH).Internal QC was established throughout all phases of these studies by using erythromycin tested against S. aureus and E. faecalis as a “peer drug” comparator agent and azithromycin and/or clarithromycin for S. pneumoniae and H. influenzae testing (4). Appropriate inoculum concentrations were monitored by performing colony counts with the inoculated broth microdilution trays, which were subcultured onto drug-free agar plates. The average colony counts among the participating centers ranged from 2.6 × 105 to 5.7 × 105 CFU/ml, which is an acceptable performance (3-5).The CEM-101 reference MIC results for 12 selected bacterial strains were tested under various conditions. Compared to standardized testing conditions (3), CEM-101 MICs were significantly increased (≥4-fold) only with elevated inoculum concentrations at 5 × 107 CFU/ml (two S. aureus strains) and when the medium pH was less than 7. An extended experiment of a combined effect of medium pH and 10% human serum protein on five S. aureus strains illustrated that the adverse influences of low medium pH on CEM-101 were moderated by human serum protein (data not shown). In fact, one Klebsiella pneumoniae strain was 4-fold more susceptible to CEM-101 when tested in CAMHB with pooled human serum.Recent standardization of large-molecule lipoglycopeptides (dalbavancin, oritavancin, and telavancin) requires the use of 0.002 to 0.02% polysorbate 80, a surfactant, to minimize drug binding to plastic panels (3, 5). When CEM-101 was tested in the presence of 0.000002 to 0.02% polysorbate 80, no change in potency against five S. aureus strains was observed (Fig. (Fig.1).1). However, when the surfactant concentrations were increased to 0.2 or 2%, an antagonistic result was detected (the CEM-101 MIC increased to 1 μg/ml, a 16-fold elevation). Clearly, this new fluoroketolide will not require the adjunctive use of polysorbate 80.Open in a separate windowFIG. 1.Average CEM-101 MICs for five tested S. aureus strains when combined with various concentrations of a surfactant (polysorbate 80 at 0.000002 to 2%).An optimization of the disk diffusion test was performed in two phases, where CEM-101 disks were prepared at concentrations of 2, 5, 10, 15, and 30 μg, and organisms with CEM-101 MICs representing the indicated wild-type species (staphylococci, streptococci, enterococci, and H. influenzae) were tested and compared to generally resistant pathogens (10 total strains). The best discrimination of susceptible wild-type strains from resistant (MIC, ≥16 μg/ml) organisms was achieved with CEM-101 disks with a ≥10-μg content. The disk concentration routinely used for macrolides (azithromycin, clarithromycin, and erythromycin) and telithromycin (also a ketolide) has been 15 μg (5); therefore, this disk content was recommended for further development. A total of 50 strains were tested in duplicate (average zone and MIC results are presented in Fig. Fig.2)2) to confirm initial findings. Figure Figure22 illustrates the positions of various CEM-101 zone diameter and MIC results (r = 0.92), leading to the potential zone diameter breakpoint for H. influenzae of ≥17 mm (MIC, ≤4 μg/ml), which is most similar to that of telithromycin or azithromycin. Larger zones and lower MIC breakpoints could be considered for the staphylococcus and streptococcus (including S. pneumoniae) isolates during clinical trial development (Fig. (Fig.22).Open in a separate windowFIG. 2.Proposed CEM-101 breakpoints to be applied to the clinical trials and further diagnostic test development (susceptible at ≥17 mm [≤4 μg/ml] and resistant at ≤13 mm [≥16 μg/ml]). Alternative susceptibility breakpoints are illustrated by the broken horizontal and vertical lines.The CEM-101 MIC QC trial followed the design dictated by the CLSI M23-A3 document (4) for the M07-A8 method (3). Table Table11 shows the remarkable consistency of CEM-101 MICs generated for the four studied QC strains. All QC organisms produced clear modal and median MICs, and the following three log2 dilution MIC QC ranges were proposed for each organism: 0.015 to 0.06 μg/ml for E. faecalis ATCC 29212 (95.6% of results in the calculated range), 0.03 to 0.12 μg/ml for S. aureus ATCC 29213 (96.6%), 0.004 to 0.015 μg/ml for S. pneumoniae ATCC 49619 (99.4%) (also see Fig. Fig.3),3), and 1 to 4 μg/ml for H. influenzae ATCC 49247 (99.7%). All internal quality assurance QC range results for azithromycin, clarithromycin, and erythromycin were within previously reported limits (5).Open in a separate windowFIG. 3.CEM-101 MIC distribution for S. pneumoniae QC strain ATCC 49619 (320 results).

TABLE 1.

Inter- and intralaboratory comparisons of CEM-101 MIC results for four ATCC control strains from an eight-laboratory protocol conforming to study design guidelines of the CLSIe
Organism and parameter (μg/ml)No. of occurrences at indicated MIC value for laboratory:
ABCDEFGHTotal
E. faecalis ATCC 29212
No. of occurrences at MIC (μg/ml) of:
    0.015102214a
    0.03391220403038434217a
    0.061282022475a
    0.121414
Total no. of occurrences4040404040404040320
Modal MIC (μg/ml)0.030.060.030.030.030.030.060.030.03
Median MIC (μg/ml)0.030.060.030.030.030.030.060.030.03
S. aureus ATCC 29213
No. of occurrences at MIC (μg/ml) of:
    0.030b
    0.062524213634311816205b
    0.121516160691824104b
    0.2534411
Total no. of occurrences4040404040404040320
Modal MIC (μg/ml)f0.060.060.060.060.060.060.120.120.06
Median MIC (μg/ml)g0.060.060.060.060.060.060.120.120.06
S. pneumoniae ATCC 49619
No. of occurrences at MIC (μg/ml) of:
    ≥0.00222
    0.004725436c
    0.0083533134040403735273c
    0.0155319c
Total no. of occurrences4040404040404040320
Modal MIC (μg/ml)0.0080.0080.0040.0080.0080.0080.0080.0080.008
Median MIC (μg/ml)0.0080.0080.0040.0080.0080.0080.0080.0080.008
H. influenzae ATCC 49247
No. of occurrences at MIC (μg/ml) of:
    0.511
    12020d
    24040194040403940298d
    411d
Total no. of occurrences4040404040404040320
Modal MIC (μg/ml)221222222
Median MIC (μg/ml)221222222
Open in a separate windowaA total of 95.6% of qualified results in the proposed QC range (0.015 to 0.06 μg/ml).bA total of 96.6% of qualified results in the proposed QC range (0.03 to 0.12 μg/ml).cA total of 99.4% of qualified results in the proposed QC range (0.004 to 0.015 μg/ml).dA total of 99.7% of qualified results in the proposed QC range (1 to 4 μg/ml).eAccording to CLSI document M23-A3 (4).fModal MIC, most frequently observed MIC value.gMedian MIC, middle MIC value.These study results to develop CEM-101 in vitro testing conditions and QC parameters/ranges demonstrated a potent activity of this new agent against possible species causing CABP or uSSSI, such as staphylococci, streptococci, H. influenzae, and E. faecalis (1, 7-16). These data confirm data from previous reports (7, 8, 11, 12, 14) and show the advantages of this novel class and similar ketolides (cethromycin and telithromycin) against pathogens that may be resistant to older macrolide-lincosamide-streptogramin B (MLSB) agents (17). We conclude that CEM-101 can be tested with confidence by CLSI methods (2-5) to detect potentially susceptible and resistant organisms. Also, the test results will be minimally influenced by departures from standardized test conditions; disk diffusion tests with 15-μg concentrations provide an optimal recognition of resistance phenotypes, and MIC testing quality can be ensured by the QC ranges proposed for the four ATCC strains studied.  相似文献   

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