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1.
We studied cross-reactive antibodies against avian influenza H5N1 and 2009 pandemic (p) H1N1 in 200 serum samples from US military personnel collected before the H1N1 pandemic. Assays used to measure antibodies against viral proteins involved in protection included a hemagglutination inhibition (HI) assay and a neuraminidase inhibition (NI) assay. Viral neutralization by antibodies against avian influenza H5N1 and 2009 pH1N1 was assessed by influenza (H5) pseudotyped lentiviral particle-based and H1N1 microneutralization assays. Some US military personnel had cross-neutralizing antibodies against H5N1 (14%) and 2009 pH1N1 (16.5%). The odds of having cross-neutralizing antibodies against 2009 pH1N1 were 4.4 times higher in subjects receiving more than five inactivated whole influenza virus vaccinations than those subjects with no record of vaccination. Although unclear if the result of prior vaccination or disease exposure, these pre-existing antibodies may prevent or reduce disease severity.Outbreaks of 1997 avian influenza H5N1 and 2009 pandemic (p) H1N1 in humans have provided an opportunity to gain insight into cross-reactive immunity. The US military periodically collects and stores serum samples from service members linked to medical records.1 We measured cross-reactive antibodies in stored serum to avian influenza H5N1 and 2009 pH1N1 from US military personnel and identified factors associated with presence of neutralizing antibodies.Two hundred archived serum samples were obtained from the US Department of Defense Serum Repository. They were representative of a wide cross-section of active military personnel at the times of collection, whereas specific geographic information was not available on the individual selected; the cohort represents the general US military population, which is deployed throughout the United States and globally. Fifty samples each were selected from four birth cohorts: (1) < 1949, (2) 1960–1965, (3) 1966–1971, and (4) 1972–1977. Within each cohort, 25 samples were collected in the year 2000 (before the introduction of intranasal live attenuated influenza vaccine [LAIV]), and 25 samples were collected in 2008 (where 51% of donors had received LAIV). It has been suggested that LAIV elicits cross-reactive immunity.2,3 The samples were all collected before the outbreak of 2009 pH1N1, and there have not been any reported outbreaks of H5N1 in US military personnel.Assays used to measure antibodies included a hemagglutination inhibition (HI) assay and a neuraminidase inhibition (NI) assay.4 Viral neutralization by antibodies against H5N1 and 2009 pH1N1 was assessed by influenza (H5) pseudotyped lentiviral particle-based (H5pp)5 and microneutralization assays, respectively. Electronic medical and vaccination records from the Defense Medical Surveillance System (DMSS), which captured records before the serum sample date, were linked to samples and compared with the in vitro results.1The odds ratios (ORs) and 95% confidence intervals (95% CIs) of univariate and multivariate binary logistic regression analyses were used to determine the association between donor characteristics and positive antibody responses. A multiple logistic regression model was constructed, and it included independent variables with a P value of < 0.05 in univariate logistic regression. A P value of < 0.05 was considered to indicate statistical significance. SPSS 12.0 for Windows (SPSS Inc., Chicago, IL) was used to perform all statistical analysis.Cross-reactivity is summarized in 5 and 22.5% for the NI assay. H5pp and NI antibody titers to H5N1 were evenly distributed among birth cohorts and did not differ substantially based on history of vaccination or prior respiratory infections. Of those individuals with neutralizing antibodies to H5N1 (N = 28), 32.1% also had neutralizing antibodies to pH1N1, whereas 19.3% of those individuals with any H5N1-specific antibody response also had neutralizing antibodies to pH1N1 (
Characteristics (n)H5N12009 pH1N1§
HI assay* % positive (GM titer)H5pp % positive (GM titer)NI assay % positive (GM titer)HI assay % positive (GM titer)Neutralization % positive (GM titer)NI assay % positive (GM titer)
Total
 2000.5 (5.1)14.0 (21.4)22.5 (121.6)5.5 (7.1)16.5 (20.4)9.0 (92.8)
Birth cohort
 1936–1949 (50)2.0 (5.3)18.0 (22.0)24.0 (126.0)6.0 (7.3)16.0 (19.5)12.0 (97.6)
 1960–1965 (50)0.0 (5.0)16.0 (20.3)26.0 (129.6)6.0 (7.7)30.0 (27.5)6.0 (90.3)
 1966–1971 (50)0.0 (5.0)12.0 (23.3)20.0 (117.9)10.0 (8.0)16.0 (23.6)10.0 (92.2)
 1972–1977 (50)0.0 (5.3)10.0 (20.0)20.0 (113.7)0.0 (5.7)4.0 (13.6)8.0 (91.5)
Serum collection year
 Y2000 (100)0.0 (5.1)15.0 (21.7)21.0 (120.3)7.0 (7.3)16.0 (20.6)11.0 (94.5)
 Y2008 (100)1.0 (5.2)13.0 (21.1)24.0 (123.0)4.0 (7.0)17.0 (20.1)7.0 (91.2)
Sex
 Female (32)3.1 (5.7)21.9 (26.3)12.5 (102.4)3.1 (6.9)12.5 (19.2)6.3 (96.7)
 Male (168)0.0 (5.0)12.5 (20.5)24.4 (125.7)6.0 (7.2)17.3 (20.6)9.5 (92.1)
Any cross-reactive antibody to
 H5N1 (57)8.8 (8.9)19.3 (25.2)22.8 (119.9)
 pH1N1 (45)2.2 (5.3)28.9 (31.2)37.8 (165.2)
Neutralizing antibodies to
 H5N1 H5pp (28)10.7 (9.5)32.1 (33.6)25.0 (116.9)
 2009 pH1N1 neutralization (33)3.0 (5.4)27.3 (28.9)30.3 (140.3)
Lifetime seasonal vaccinations
 No record (66)0.0 (5.1)10.6 (20.2)27.7 (128.1)7.6 (7.4)15.2 (20.6)12.1 (96.5)
 1–5 vaccinations (88)1.1 (5.2)15.9 (21.5)17.0 (109.2)5.7 (7.1)17.0 (20.5)6.8 (89.1)
  > 5 vaccinations (46)0.0 (5.1)15.2 (22.2)32.6 (138.8)2.2 (6.8)17.4 (19.7)8.7 (95.0)
Time since last vaccine
 No record (66)0.0 (5.1)10.6 (20.2)22.7 (128.1)7.6 (7.4)15.2 (20.6)12.1 (96.5)
  ≤ 1 year (96)0.0 (5.1)15.6 (21.5)24.0 (120.7)4.2 (7.1)19.8 (21.0)8.3 (91.2)
 > 1 year (38)2.6 (5.3)15.8 (22.4)18.4 (113.4)5.2 (6.8)10.5 (18.3)5.3 (90.6)
Vaccination history lifetime (at least one dose)
 No record of vaccination (66)0.0 (5.1)10.6 (20.2)22.7 (128.1)7.6 (7.4)15.2 (20.6)12.1 (96.5)
 Inactivated whole virus (71)0.0 (5.0)14.1 (20.4)22.5 (115.7)2.8 (6.4)15.5 (19.6)5.6 (87.1)
 Split type (102)1.0 (5.0)15.7 (20.4)21.6 (115.7)4.9 (6.4)19.6 (19.6)6.9 (87.1)
 Influenza vaccine not otherwise specified (16)0.0 (5.2)12.5 (27.9)37.5 (166.4)0.0 (6.2)6.3 (16.1)12.5 (102.3)
 Live attenuated intranasal (50)0.0 (5.1)10.0 (18.8)20.0 (112.2)4.0 (7.0)18.0 (20.3)4.0 (85.2)
History of respiratory illness
 No record of illness (119)0.0 (5.0)10.1 (18.5)18.5 (112.6)4.2 (7.0)15.1 (20.5)8.4 (90.7)
 Influenza-like illness (4)0.0 (5.0)25.0 (20.7)0.0 (80.0)0.0 (8.4)25.0 (28.3)25.0 (100.2)
 Upper respiratory infection (65)1.5 (5.4)23.1 (29.3)27.7 (135.0)7.7 (7.3)18.5 (20.7)9.2 (93.1)
 Lower respiratory infection (37)2.7 (5.6)18.9 (30.2)35.1 (157.6)8.1 (8.1)21.6 (22.4)13.5 (108.4)
 Respiratory illness past year (28)0 (5.1)25.0 (25.1)32.1 (154.9)7.1 (8.0)28.6 (24.4)3.6 (86.3)
Open in a separate windowTiters with a value of zero (below the detection limit) were assigned a value of five for calculation of geometric means (GMs).*H5N1, A/Vietnam/1203/2004; positive titer ≥ 40.H5 hemagglutinin (A/Cambodia/408008/05) pseudotyped lentiviral particle; positive titer ≥ 160.Reassortant H1N1 (HA, PB1, PB2, PA, NP, and M from H1N1 [A/PR/8/34]; N1 from H5N1 [A/Vietnam/DT-036/2005]); positive titer ≥ 160.§2009 H1N1, A/California/04/2009; same positive titer cutoffs as for H5N1.As with H5N1, samples with positive HI titers were low for 2009 pH1N1 at 5.5%, whereas neutralizing antibody titers were higher, with 16.5% positive in the microneutralization assay but only 9% positive in the NI assay. Positive neutralization titers were less evenly distributed among birth cohorts, with only 4% positive in the 1972–1977 birth cohort, whereas 30% were positive in the 1960–1965 cohort. Like H5N1, positive antibody titers to 2009 pH1N1 did not differ substantially based on history of vaccination or prior respiratory infections. Of those individuals with neutralizing antibodies to pH1N1 (N = 33), 27.3% also had neutralizing antibodies to H5N1, whereas 28.9% of those individuals with any pH1N1-specific antibody response also had neutralizing antibodies to H5N1.Univariate associations between the prevalence of cross-reactive antibodies to H5N1 and 2009 pH1N1 and independent variables, including year of birth, serum collection year, sex, and seasonal influenza vaccination history, are shown in Characteristic (n)2009 pH1N1H5N1PrevalenceOR (95% CI)Adjusted OR (95% CI)PrevalenceOR (95% CI)Positive neutralizing antibody33 (16.5%)28 (14.0%)Serum collection year 2000 (100)16 (16.0%)ReferenceReference15 (15.0%)Reference 2008 (100)17 (17.0%)1.1 (0.5–2.3)0.7 (0.3–1.8)13 (13.0%)0.9 (0.4–1.9)Birth cohort 1936–1949 (50)8 (16.0%)4.6 (0.9–22.7)5.3 (1.0–27.0)9 (18.0%)2.0 (0.6–6.4) 1960–1965 (50)15 (30.0%)10.3 (2.2–47.9)11.0 (2.3–52.9)8 (16.0%)1.7 (0.5–5.7) 1966–1971 (50)8 (16.0%)4.6 (0.9–22.7)5.1 (1.0–26.2)6 (12.0%)1.2 (0.4–4.3) 1972–1977 (50)2 (4.0%)ReferenceReference5 (10.0%)ReferenceSex Female (32)4 (12.5%)Reference7 (21.9%)Reference Male (168)29 (17.3%)1.5 (0.5–4.5)21 (12.5%)0.5 (0.2–1.3)Positive neutralizing antibody titers H5pp (57)11 (19.3%)1.3 (0.6–2.9) pH1N1 (45)13 (28.9%)3.8 (1.6–8.7)Vaccination record Number of seasonal influenza vaccinations  No record (66)10 (15.2%)Reference7 (10.6%)Reference  1–5 vaccinations (88)15 (17.0%)1.2 (0.5–2.8)14 (15.9%)1.6 (0.6–4.2)  > 5 vaccinations (46)8 (17.4%)1.2 (0.4–3.3)7 (15.2%)1.5 (0.5–4.7) Time since last vaccination  No record (66)10 (15.2%)Reference7 (10.61%)Reference   ≤ 1 year (96)19 (19.8%)1.4 (0.6–3.2)15 (15.6%)1.6 (0.6–4.1)  > 1 year (33)4 (10.5%)0.7 (0.2–2.3)6 (15.8%)1.6 (0.5–5.1) Number of inactivated whole virus vaccinations  No record (129)22 (17.1%)ReferenceReference18 (14.0%)Reference  1–5 vaccinations (53)4 (7.5%)0.4 (0.1–1.2)0.4 (0.1–1.4)7 (13.2%)0.9 (0.4–2.4)  > 5 vaccinations (18)7 (38.9%)3.1 (1.1–8.9)4.4 (1.3–15.6)3 (16.7%)1.2 (0.3–4.7) Time since last inactivated whole virus vaccination  No record (129)22 (17.1%)Reference18 (14.0%)Reference   ≤ 1 year (19)4 (21.1%)1.3 (0.4–4.3)3 (15.8%)1.2 (0.3–4.4)  > 1 year (52)7 (13.5%)0.8 (0.3–1.9)7 (13.5%)1.0 (0.4–2.5) Number of split type vaccinations  No record (98)13 (13.3%)Reference12 (12.2%)Reference  1–5 vaccinations (94)19 (20.2%)1.7 (0.8–3.6)14 (14.9%)1.3 (0.6–2.9)  > 5 vaccinations (8)1 (12.5%)0.9 (0.1–8.2)2 (25.0%)2.4 (0.4–13.2) Time since last split type vaccination  No record (98)13 (13.3%)Reference12 (12.2%)Reference   ≤ 1 year (44)10 (22.7%)1.9 (0.8–4.8)10 (22.7%)2.1 (0.8–5.3)  > 1 year (58)10 (17.2%)1.4 (0.6–3.3)6 (10.3%)0.8 (0.3–2.3) Number of intranasal LAIV vaccinations  No record (150)24 (16.0%)Reference23 (15.3%)Reference  1–5 vaccinations (50)9 (18.0%)1.2 (0.5–2.7)5 (10%)0.6 (0.2–1.7) Time since last intranasal LAIV vaccination  No record (150)24 (16.0%)Reference23 (15.3%)Reference   ≤ 1 year (34)7 (20.6%)1.4 (0.5–3.5)3 (8.8%)0.5 (0.2–1.9)  > 1 year (16)2 (12.5%)0.8 (0.2–3.5)2 (12.5%)0.8 (0.2–3.7)Open in a separate windowTo the best of our knowledge, the present study is the first report of cross-reactive antibodies to both H5N1 and 2009 pH1N1 in a US military population. Cross-reactive antibodies to both influenza viruses were common in this population. Most serum samples (86%) positive in the H5N1 neutralization assay had no detectable HI activity (titer ≥ 10), whereas 94% of samples that neutralized 2009 pH1N1 also had detectable HI activity (titer ≥ 10; data not shown). In addition, cross-reactive antibodies to avian influenza H5N1 were not necessarily accompanied by cross-reactive antibodies to 2009 pH1N1. Taken together, these findings suggest that the observed cross-reactive neutralization against the two influenza viruses was caused by different antibodies in serum samples.This report is also the first report to associate history of receiving more than five doses of inactivated whole influenza virus vaccine with neutralizing antibodies against 2009 pH1N1. This finding suggests a protective advantage of repeated vaccination with seasonal whole virus vaccine, generating cross-reactive antibodies against previously unencountered strains. It has been suggested that the high immunogenicity of the inactivated whole virus vaccine is partly caused by the adjuvant effect of the viral RNA presented, stimulating innate immunity through the Toll-like receptor (TLR) 7-dependent pathway.6 We hypothesize that the combined effect of adjuvant activity and the heterogenous mix of flu strains that an individual would be exposed to over the course of multiple seasonal vaccinations may enhance the breadth of antibody response and promote the generation of cross-reactive antibodies.A retrospective case-control study conducted in US military personnel after the outbreak of 2009 pH1N1 showed that both 2008–2009 seasonal influenza vaccine and history of seasonal vaccine in the prior 4 years afforded some protection against pH1N1. Vaccine effectiveness (VE) was high in persons ≥ 40 (55%) or < 25 (50%) years of age but very low in persons 25–39 years of age (< 10%).7 These findings correlate with the high levels of cross-reactive 2009 pH1N1 antibodies reported here, with 30% in the 1960–1965 cohort (age range = 35–48) but only 4% in the 1972–1977 cohort (age range = 23–36). Our findings are similar to the results found recently in an elderly population in the United States.8 The exception is in those individuals born before 1950, in whom antibody responses were much higher in this cohort. Both our study and the US study differ from two recent seroprevalence studies in Singapore and China, where cross-reactive antibodies were rare in various age groups.9,10 High seasonal influenza vaccination rates in US military personnel found here and prior studies11 may explain the differences observed in these populations, although results from small retrospective seroprevalence studies should be interpreted cautiously. Possible alternative explanations include differences in laboratory assay methods, natural influenza exposure in the sampled populations, and/or use of convenience sampling methods.Studies in humans suggest that the antibody to influenza neuraminidase is associated with resistance to influenza.12 A recent serological study in a small number of human serum samples showed that 24% had cross-reactive antibodies to avian N1,13 similar to our findings (22.5%). In addition, we observed that 9% of serum samples had cross-reactive antibodies to pH1N1.Like pH1N1, persons < 40 years old seem to be most affected by H5N1 infection, with infection rarer in older individuals.14 However, we did not find a difference in cross-reactive antibody prevalence to either neuraminidase or neutralizing antibodies (H5pp) with year of birth or other immunologic markers of exposure, including vaccination history or prior respiratory illness.A possible limitation of our study is that the DMSS may not have captured all relevant medical encounter and/or vaccination data, particularly for encounters that were not entered into the system electronically or coded accurately. Data in the DMSS are provider-dependent, and the DMSS captures data from various historical time periods, dating back to 1980 for immunization data, 1985 for Department of Defense Serum Repository specimens, 1990 for demographic data, and only 1996 for outpatient data. Interpretation of data presented on history of respiratory illness, which is entirely dependent on voluntary provider reporting and International Classification of Diseases (ICD-9) coding, is particularly limited by lack of virologic confirmation.Cross-reactive immunity to pathogenic influenza strains was found in a subset of US military service members, and it may serve to prevent or reduce the severity of influenza. A better understanding of the mechanisms underlying the development of cross-reactive antibodies will aid in the development of more effective preventive and therapeutic measures.  相似文献   
2.
The role of intracellular calcium phosphate in osteoblast-mediated bone apatite formation     
S Boonrungsiman  E Gentleman  R Carzaniga  ND Evans  DW McComb  AE Porter  MM Stevens 《Proceedings of the National Academy of Sciences of the United States of America》2012,109(35):14170-14175
Mineralization is a ubiquitous process in the animal kingdom and is fundamental to human development and health. Dysfunctional or aberrant mineralization leads to a variety of medical problems, and so an understanding of these processes is essential to their mitigation. Osteoblasts create the nano-composite structure of bone by secreting a collagenous extracellular matrix (ECM) on which apatite crystals subsequently form. However, despite their requisite function in building bone and decades of observations describing intracellular calcium phosphate, the precise role osteoblasts play in mediating bone apatite formation remains largely unknown. To better understand the relationship between intracellular and extracellular mineralization, we combined a sample-preparation method that simultaneously preserved mineral, ions, and ECM with nano-analytical electron microscopy techniques to examine osteoblasts in an in vitro model of bone formation. We identified calcium phosphate both within osteoblast mitochondrial granules and intracellular vesicles that transported material to the ECM. Moreover, we observed calcium-containing vesicles conjoining mitochondria, which also contained calcium, suggesting a storage and transport mechanism. Our observations further highlight the important relationship between intracellular calcium phosphate in osteoblasts and their role in mineralizing the ECM. These observations may have important implications in deciphering both how normal bone forms and in understanding pathological mineralization.  相似文献   
3.
Acemannan Stimulates Gingival Fibroblast Proliferation; Expressions of Keratinocyte Growth Factor-1, Vascular Endothelial Growth Factor,and Type I Collagen; and Wound Healing     
Suwimon Jettanacheawchankit  Siriruk Sasithanasate  Polkit Sangvanich  Wijit Banlunara  Pasutha Thunyakitpisal 《Journal of pharmacological sciences》2009,109(4):525-531
Aloe vera has long been used as a traditional medicine for inducing wound healing. Gingival fibroblasts (GFs) play an important role in oral wound healing. In this study, we investigated the effects of acemannan, a polysaccharide extracted from Aloe vera gel, on GF proliferation; keratinocyte growth factor-1 (KGF-1), vascular endothelial growth factor (VEGF), and type I collagen production; and oral wound healing in rats. [3H]-Thymidine incorporation assay and ELISA were used. Punch biopsy wounds were created at the hard palate of male Sprague Dawley rats. All treatments (normal saline; 0.1% triamcinolone acetonide; plain 1% Carbopol®; and Carbopol® containing 0.5%, 1%, and 2% acemannan (w/w)) were applied daily. Wounded areas and histological features were observed at day 7 after treatment. From our studies, acemannan at concentrations of 2, 4, 8, and 16 mg/ml significantly induced cell proliferation (P<0.05). Acemannan concentrations between 2 – 16 mg/ml significantly stimulated KGF-1, VEGF, and type I collagen expressions (P<0.05). Wound healing of animals receiving Carbopol® containing 0.5% acemannan (w/w) was significantly better than that of the other groups (P<0.05). These findings suggest that acemannan plays a significant role in the oral wound healing process via the induction of fibroblast proliferation and stimulation of KGF-1, VEGF, and type I collagen expressions.  相似文献   
4.
Cross-reactive Antibodies against Avian Influenza Virus A (H5N1)     
Sathit Pichyangkul  Anan Jongkaewwattana  Arunee Thitithanyanont  Peeraya Ekchariyawat  Suwimon Wiboon-ut  Amporn Limsalakpetch  Kosol Yongvanitchit  Utaiwan Kum-Arb  Rangsini Mahanonda  Pongsak Utaisincharoen  Stitaya Sirisinha  Carl J. Mason    Mark M. Fukuda 《Emerging infectious diseases》2009,15(9):1537-1539
  相似文献   
5.
Apoptosis and pathogenesis of avian influenza A (H5N1) virus in humans   总被引:6,自引:0,他引:6  
Uiprasertkul M  Kitphati R  Puthavathana P  Kriwong R  Kongchanagul A  Ungchusak K  Angkasekwinai S  Chokephaibulkit K  Srisook K  Vanprapar N  Auewarakul P 《Emerging infectious diseases》2007,13(5):708-712
The pathogenesis of avian influenza A (H5N1) virus in humans has not been clearly elucidated. Apoptosis may also play an important role. We studied autopsy specimens from 2 patients who died of infection with this virus. Apoptosis was observed in alveolar epithelial cells, which is the major target cell type for the viral replication. Numerous apoptotic leukocytes were observed in the lung of a patient who died on day 6 of illness. Our data suggest that apoptosis may play a major role in the pathogenesis of influenza (H5N1) virus in humans by destroying alveolar epithelial cells. This pathogenesis causes pneumonia and destroys leukocytes, leading to leukopenia, which is a prominent clinical feature of influenza (H5N1) virus in humans. Whether observed apoptotic cells were a direct result of the viral replication or a consequence of an overactivation of the immune system requires further studies.  相似文献   
6.
Diabetes mellitus burden among people living with HIV from the Asia‐Pacific region     
Win M Han  Awachana Jiamsakul  Sasisopin Kiertiburanakul  Oon T Ng  Benedict LH Sim  Ly P Sun  Kinh Van Nguyen  Jun Y Choi  Man P Lee  Wing W Wong  Adeeba Kamarulzaman  Nagalingeswaran Kumarasamy  Fujie Zhang  Junko Tanuma  Cuong D Do  Romanee Chaiwarith  Tuti P Merati  Evy Yunihastuti  Sanjay Pujari  Rossana Ditangco  Suwimon Khusuwan  Jeremy Ross  Anchalee Avihingsanon   《Journal of the International AIDS Society》2019,22(1)
  相似文献   
7.
Postprocedure pain management in patients following treatment for intracranial aneurysm     
Suwimon Tangwiwat  Pirjo Manninen  Karolinah 《Journal canadien d'anesthésie》2006,53(1):25944-25944
  相似文献   
8.
Prevalence of human cytomegalovirus (HCMV) gB genotypes in Thai patients   总被引:1,自引:0,他引:1  
Bhattarakosol P  Chantaraarphonkun S 《The Southeast Asian journal of tropical medicine and public health》2007,38(5):835-840
Human cytomegalovirus (HCMV) infection can cause asymptomatic to symptomic diseases leading to morbidity and mortality especially in immunocompromized patients. One factor of the difference in clinical outcome is the distinction of HCMV strain. As HCMV glycoprotein (g)B plays an important role in viral entry and neutralizing antibody induction, HCMV gB genotypes were determined in 161 clinical specimens containing HCMV-DNA obtained from patients at King Chulalongkorn Memorial Hospital, Bangkok, Thailand during the year 2000 and 2004. Of the 113 (70%) samples that were able to be genotyped, mixed gB genotype was demonstrated in 35%, followed by gB1 (33%), gB3 (15%), gB2 (11%), and untyped (7%); gB4 was not detected. The distribution of HCMV gB genotypes between genders was not significantly different. Mixed gB genotype (35%) was found in HIV- infected patients.  相似文献   
9.
The influence of age‐associated comorbidities on responses to combination antiretroviral therapy in older people living with HIV     
Mi Young Ahn  Awachana Jiamsakul  Suwimon Khusuwan  Vohith Khol  Thuy T Pham  Romanee Chaiwarith  Anchalee Avihingsanon  Nagalingeswaran Kumarasamy  Wing Wei Wong  Sasisopin Kiertiburanakul  Sanjay Pujari  Kinh V Nguyen  Man Po Lee  Adeeba Kamarulzaman  Fujie Zhang  Rossana Ditangco  Tuti P Merati  Evy Yunihastuti  Oon Tek Ng  Benedict L H Sim  Junko Tanuma  Winai Ratanasuwan  Jeremy Ross  Jun Yong Choi   《Journal of the International AIDS Society》2019,22(2)
  相似文献   
10.
Cotrimoxazole prophylaxis decreases tuberculosis risk among Asian patients with HIV     
Stephane Wen‐Wei Ku  Awachana Jiamsakul  Kedar Joshi  Mark Kristoffer Ungos Pasayan  Alvina Widhani  Romanee Chaiwarith  Sasisopin Kiertiburanakul  Anchalee Avihingsanon  Penh Sun Ly  Nagalingeswaran Kumarasamy  Cuong D Do  Tuti P Merati  Kinh Van Nguyen  Adeeba Kamarulzaman  Fujie Zhang  Man Po Lee  Jun Yong Choi  Junko Tanuma  Suwimon Khusuwan  Benedict Lim Heng Sim  Oon Tek Ng  Winai Ratanasuwan  Jeremy Ross  Wing‐Wai Wong   《Journal of the International AIDS Society》2019,22(3)
  相似文献   
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