{"title":"简便易用的成像-计数测定法,用于分析酵母菌中的几丁质模式。","authors":"Delphine Aldebert , Bastien Suarez , François Bettega , Emilie Boucher , Cecile Garnaud , Muriel Cornet","doi":"10.1016/j.mycmed.2024.101493","DOIUrl":null,"url":null,"abstract":"<div><h3>Background & Aim</h3><p>Pathogenic fungi are a major threat to public health, and fungal infections are becoming increasingly common and treatment resistant. Chitin, a component of the fungal cell wall, modifies host immunity and contributes to antifungal resistance. Moreover, chitin content is regulated by chitin synthases and chitinases. However, the specific roles and mechanisms remain unclear. In this study, we developed a cytometric imaging assay to quantify chitin content and identify the distribution of chitin in the yeast cell wall.</p></div><div><h3>Methods</h3><p>The <em>Candida albicans</em> SC5314 and <em>Nakaseomyces glabratus (ex. C. glabrata)</em> ATCC2001 reference strains, as well as 106 clinical isolates, were used. Chitin content, distribution, and morphological parameters were analysed in 12 yeast species. Moreover, machine learning statistical software was used to evaluate the ability of the cytometric imaging assay to predict yeast species using the values obtained for these parameters.</p></div><div><h3>Results</h3><p>Our imaging-cytometry assay was repeatable, reproducible, and sensitive to variations in chitin content in <em>C. albicans</em> mutants or after antifungal stimulation. The evaluated parameters classified the yeast species into the correct clade with an accuracy of 85 %.</p></div><div><h3>Conclusion</h3><p>Our findings demonstrate that this easy-to-use assay is an effective tool for the exploration of chitin content in yeast species.</p></div>","PeriodicalId":14824,"journal":{"name":"Journal de mycologie medicale","volume":null,"pages":null},"PeriodicalIF":2.2000,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1156523324000349/pdfft?md5=4d8e2d51e08cad8a6ea5d5cce85d468f&pid=1-s2.0-S1156523324000349-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Easy-to-use imaging-cytometry assay to analyze chitin patterns in yeasts\",\"authors\":\"Delphine Aldebert , Bastien Suarez , François Bettega , Emilie Boucher , Cecile Garnaud , Muriel Cornet\",\"doi\":\"10.1016/j.mycmed.2024.101493\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background & Aim</h3><p>Pathogenic fungi are a major threat to public health, and fungal infections are becoming increasingly common and treatment resistant. Chitin, a component of the fungal cell wall, modifies host immunity and contributes to antifungal resistance. Moreover, chitin content is regulated by chitin synthases and chitinases. However, the specific roles and mechanisms remain unclear. In this study, we developed a cytometric imaging assay to quantify chitin content and identify the distribution of chitin in the yeast cell wall.</p></div><div><h3>Methods</h3><p>The <em>Candida albicans</em> SC5314 and <em>Nakaseomyces glabratus (ex. C. glabrata)</em> ATCC2001 reference strains, as well as 106 clinical isolates, were used. Chitin content, distribution, and morphological parameters were analysed in 12 yeast species. Moreover, machine learning statistical software was used to evaluate the ability of the cytometric imaging assay to predict yeast species using the values obtained for these parameters.</p></div><div><h3>Results</h3><p>Our imaging-cytometry assay was repeatable, reproducible, and sensitive to variations in chitin content in <em>C. albicans</em> mutants or after antifungal stimulation. The evaluated parameters classified the yeast species into the correct clade with an accuracy of 85 %.</p></div><div><h3>Conclusion</h3><p>Our findings demonstrate that this easy-to-use assay is an effective tool for the exploration of chitin content in yeast species.</p></div>\",\"PeriodicalId\":14824,\"journal\":{\"name\":\"Journal de mycologie medicale\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1156523324000349/pdfft?md5=4d8e2d51e08cad8a6ea5d5cce85d468f&pid=1-s2.0-S1156523324000349-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal de mycologie medicale\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1156523324000349\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MYCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal de mycologie medicale","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1156523324000349","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MYCOLOGY","Score":null,"Total":0}
Easy-to-use imaging-cytometry assay to analyze chitin patterns in yeasts
Background & Aim
Pathogenic fungi are a major threat to public health, and fungal infections are becoming increasingly common and treatment resistant. Chitin, a component of the fungal cell wall, modifies host immunity and contributes to antifungal resistance. Moreover, chitin content is regulated by chitin synthases and chitinases. However, the specific roles and mechanisms remain unclear. In this study, we developed a cytometric imaging assay to quantify chitin content and identify the distribution of chitin in the yeast cell wall.
Methods
The Candida albicans SC5314 and Nakaseomyces glabratus (ex. C. glabrata) ATCC2001 reference strains, as well as 106 clinical isolates, were used. Chitin content, distribution, and morphological parameters were analysed in 12 yeast species. Moreover, machine learning statistical software was used to evaluate the ability of the cytometric imaging assay to predict yeast species using the values obtained for these parameters.
Results
Our imaging-cytometry assay was repeatable, reproducible, and sensitive to variations in chitin content in C. albicans mutants or after antifungal stimulation. The evaluated parameters classified the yeast species into the correct clade with an accuracy of 85 %.
Conclusion
Our findings demonstrate that this easy-to-use assay is an effective tool for the exploration of chitin content in yeast species.
期刊介绍:
The Journal de Mycologie Medicale / Journal of Medical Mycology (JMM) publishes in English works dealing with human and animal mycology. The subjects treated are focused in particular on clinical, diagnostic, epidemiological, immunological, medical, pathological, preventive or therapeutic aspects of mycoses. Also covered are basic aspects linked primarily with morphology (electronic and photonic microscopy), physiology, biochemistry, cellular and molecular biology, immunochemistry, genetics, taxonomy or phylogeny of pathogenic or opportunistic fungi and actinomycetes in humans or animals. Studies of natural products showing inhibitory activity against pathogenic fungi cannot be considered without chemical characterization and identification of the compounds responsible for the inhibitory activity.
JMM publishes (guest) editorials, original articles, reviews (and minireviews), case reports, technical notes, letters to the editor and information. Only clinical cases with real originality (new species, new clinical present action, new geographical localization, etc.), and fully documented (identification methods, results, etc.), will be considered.
Under no circumstances does the journal guarantee publication before the editorial board makes its final decision.
The journal is indexed in the main international databases and is accessible worldwide through the ScienceDirect and ClinicalKey platforms.