Use of MALDI-TOF MS for fungal species distribution of interdigital intertrigo in seafarers,Dakar, Senegal

To determine fungal species distribution of interdigital intertrigo among seafarers in Dakar, Senegal, a cross-sectional study was carried out from May to August 2017 among seafarers clinically diagnosed with interdigital intertrigo. A questionnaire was filled to each patient before sampling the affected folds and transporting to Aristide Le Dantec University Hospital where mycological analyses were realized. Species identification by MALDI-TOF MS was performed in Marseille, France. In total, 169 men (21–66 years) were included. Few of them (3%) had a high level of education and the duration of the mycosis exceed 10 years for 88% of patients. Direct microscopic examination (ME) was positive in 34.3%. Among samples with positive ME, 58.6% had positive culture. An overall incidence of 30.2% was found. Patients with confirmed cases aged between 28 and 66 years. Among them, those between 36–50 years were predominant (52.9%). Those with a high level of education were less representative (2%). For 52.1% of patients, the duration of the mycosis was superior to 10 years. Furthermore, 57% of cases were significantly associated with other types of tinea pedis and/or onychomycosis (P = 0.03). Culture was positive in 23.7% isolating 43 strains successfully identified at the species level by MALDI-TOF MS for 31 isolates: 20 Candida and 11 dermatophytes. The rest was identified only at the genus level belonged to Fusarium. In definitive, MALDI-TOF MS could be a useful tool for routine and fast identification of dermatophytes, yeasts and NDFF in clinical mycology laboratories.     

Identification of a 28 kDa lychee allergen as a triose-phosphate isomerase

The aim of this study was to investigate the allergenic potency of the exotic fruit lychee (Litchi chinensis SONN.). For this purpose the lychee protein extract was separated by ion exchange chromatography and a purified allergen with a molecular weight of 28 kDa was identified by N-terminal sequencing and peptide mass fingerprinting. Both methods determined the lychee allergen as a triose-phosphate isomerase. To this protein 67% of patients showed allergic reactions respectively IgE binding of their sera. Similar enzymes from other plants were also recognized as allergens.     

我国脑膜炎奈瑟菌孔蛋白PorA、PorB的多态性分析

目的以蛋白质组学研究为基础,分析2003—2005年我国流脑暴发流行期间C群脑膜炎奈瑟菌菌株特征,建立以致病性相关蛋白多态性为目标的新分型方法。方法利用双向电泳和MALDI-TOF质谱鉴定分析2003—2005年流脑流行期内分离的66株C群脑膜炎奈瑟菌菌株及2株参考菌株的蛋白表达,重点分析与致病性相关的蛋白多态性特征。结果根据孔蛋白PorA、PorB在双向电泳中的多态性,建立了12个特征菌型。安徽菌株的PorA和PorB蛋白电泳谱型显示出了高度的一致性,而其他地区的菌株则显示出高度的多态性。结论PorA和PorB蛋白2-DE电泳谱型可以作为一种新的菌株分型方法,可能在菌型变迁检测和流脑暴发预警中具有重要应用前景。     

Rapid isolation, characterization, and glycan analysis of Cup a 1, the major allergen of Arizona cypress (Cupressus arizonica) pollen

BACKGROUND: A rapid method for the purification of the major 43-kDa allergen of Cupressus arizonica pollen, Cup a 1, was developed. METHODS: The salient feature was a wash of the pollen in acidic buffer, followed by an extraction of the proteins and their purification by chromatography. Immunoblotting, ELISA, and lectin binding were tested on both the crude extract and the purified Cup a 1. Biochemical analyses were performed to assess the Cup a 1 isoelectric point, its partial amino-acid sequence, and its glycan composition. RESULTS: Immunochemical analysis of Cup a 1 confirmed that the allergenic reactivity is maintained after the purification process. Partial amino-acid sequencing indicated a high degree of homology between Cup a 1 and allergenic proteins from the Cupressaceae and Taxodiaceae families displaying a similar molecular mass. The purified protein shows one band with an isoelectric point of 5.2. Nineteen out of 33 sera (57%) from patients allergic to cypress demonstrated significant reactivity to purified Cup a 1. MALDI-TOF mass spectrometry indicated the presence of three N-linked oligosaccharide structures: GnGnXF(3) (i.e., a horseradish peroxidase-type oligosaccharide substituted with two nonreducing N-acetylglucosamine residues), GGnXF(3)/GnGXF(3) (i.e., GnGnXF with one nonreducing galactose residue), and (GF)GnXF(3)/Gn(GF)XF(3) (with a Lewisa epitope on one arm) in the molar ratio 67:8:23. CONCLUSION: The rapid purification process of Cup a 1 allowed some fine studies on its properties and structure, as well as the evaluation of its IgE reactivity in native conditions. The similarities of amino-acid sequences and some complex glycan stuctures could explain the high degree of cross-reactivity among the Cupressaceae and Taxodiaceae families.     

Postoperative Paenibacillus thiaminolyticus Wound Infection,Switzerland

Paenibacillus thiaminolyticus is a nonvirulent organism found in human and ruminant microbiota. However, P. thiaminolyticus can act as an opportunistic pathogen in humans. We describe a case of abdominal wall hematoma secondarily infected by P. thiaminolyticus. Our findings emphasize the risk for unusual Paenibacillus infections in otherwise healthy persons.     

Purification and characterization of Moran 20K fromMorus alba

A new glycoprotein was purified from the aqueous methanolic extract of the root bark ofMorus alba which has been used as a component of antidiabetic remedy in Oriental Medicine. SDS-PAGE result shows that the molecular weight of the glycoprotein was approximately 20 kDa. This new glycoprotein was named as Moran 20K. The protein lowered blood glucose level in streptozotocin-induced hyperglycemic mice model and it also increased the glucose transport in cultured epididymis fat cells. The amino acid composition of the protein was analyzed, and the protein contained above 20% serine and cysteine such as insulin. The actual molecular weight of the protein was determined as 21,858 Da by MALDI-TOF mass spectroscopy.     

Human infections due to Schizophyllum commune: Case report and review of the literature

Schizophyllum commune is an environmental basidiomycetous fungus, causing occasional, predominantly respiratory, infections in humans. Although S. commune is considered an emerging pathogen, some authors pointed out the possibility that the increase in the diagnosed cases may be also due to recent advances in diagnostic technologies now allowing a more prompt and precise identification at the species level. Here we describe the first Italian case of chronic non-invasive fungal rhinosinusitis due to S. commune in an immunocompetent subject and update the literature review on S. commune sinusitis published between 2012–2019. A timely diagnosis is important to avoid local and systemic complications due to infection with this fungus. In our case, prompt identification at species level was only possible with the use of MALDI-TOF mass spectrometry and confirmed by sequence analysis of ribosomal DNA ITS regions, due to the difficulty in achieving a correct and rapid identification using routine morphological analysis.     

Machine learning for microbial identification and antimicrobial susceptibility testing on MALDI-TOF mass spectra: a systematic review

BackgroundThe matrix assisted laser desorption/ionization and time-of-flight mass spectrometry (MALDI-TOF MS) technology has revolutionized the field of microbiology by facilitating precise and rapid species identification. Recently, machine learning techniques have been leveraged to maximally exploit the information contained in MALDI-TOF MS, with the ultimate goal to refine species identification and streamline antimicrobial resistance determination.ObjectivesThe aim was to systematically review and evaluate studies employing machine learning for the analysis of MALDI-TOF mass spectra.Data sourcesUsing PubMed/Medline, Scopus and Web of Science, we searched the existing literature for machine learning-supported applications of MALDI-TOF mass spectra for microbial species and antimicrobial susceptibility identification.Study eligibility criteriaOriginal research studies using machine learning to exploit MALDI-TOF mass spectra for microbial specie and antimicrobial susceptibility identification were included. Studies focusing on single proteins and peptides, case studies and review articles were excluded.MethodsA systematic review according to the PRISMA guidelines was performed and a quality assessment of the machine learning models conducted.ResultsFrom the 36 studies that met our inclusion criteria, 27 employed machine learning for species identification and nine for antimicrobial susceptibility testing. Support Vector Machines, Genetic Algorithms, Artificial Neural Networks and Quick Classifiers were the most frequently used machine learning algorithms. The quality of the studies ranged between poor and very good. The majority of the studies reported how to interpret the predictors (88.89%) and suggested possible clinical applications of the developed algorithm (100%), but only four studies (11.11%) validated machine learning algorithms on external datasets.ConclusionsA growing number of studies utilize machine learning to optimize the analysis of MALDI-TOF mass spectra. This review, however, demonstrates that there are certain shortcomings of current machine learning-supported approaches that have to be addressed to make them widely available and incorporated them in the clinical routine.