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Molecular identification and antifungal susceptibility profile of yeast from vulvovaginal candidiasis

BACKGROUND: Accurate identification Candida is important for successful therapy and epidemiology study. The aim of research is to study API 20C yeast identification system identification rate by using molecular identification as gold standard and tested the antifungal susceptibility of Candida from...

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Autores principales: Shi, Yu, Zhu, Yuxia, Fan, Shangrong, Liu, Xiaoping, Liang, Yiheng, Shan, Yingying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7216708/
https://www.ncbi.nlm.nih.gov/pubmed/32393342
http://dx.doi.org/10.1186/s12879-020-04985-w
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author Shi, Yu
Zhu, Yuxia
Fan, Shangrong
Liu, Xiaoping
Liang, Yiheng
Shan, Yingying
author_facet Shi, Yu
Zhu, Yuxia
Fan, Shangrong
Liu, Xiaoping
Liang, Yiheng
Shan, Yingying
author_sort Shi, Yu
collection PubMed
description BACKGROUND: Accurate identification Candida is important for successful therapy and epidemiology study. The aim of research is to study API 20C yeast identification system identification rate by using molecular identification as gold standard and tested the antifungal susceptibility of Candida from patients with vulvovaginal candidiasis (VVC). METHODS: In total, 3574 yeast isolates were obtained from patients with VVC. API 20C yeast identification, molecular identification and in vitro antifungal susceptibility were performed. RESULTS: C. albicans was the predominant Candida species [2748 isolates, 76.9%] in VVC. The isolates from vaginal samples represented 22 species based on molecular identification. The API 20C system identifies only 11 of the species encountered during the study period. Based on the API 20C system, 3273 (91.58%) isolates were correctly identified to the species level. The correct identification rate of the API 20C system for rare yeast was 15.29% (26/170 isolates). Antifungal susceptibility was tested in a total of 1844 isolates of Candida from patients with VVC. C. albicans was susceptible to most of the tested antifungals. The MICs of azoles for C. glabrata were higher than those for C. albicans. The MICs of echinocandins for C. parapsilosis were higher than those for C. albicans. CONCLUSIONS: The API 20C yeast identification system can be used to reliably identify the most common Candida species while molecular methods are necessary for the identification of closely related, emerging, and rare yeast species. The results from this study suggest that much of the previous studies on the epidemiology of VVC should be re-thought. C. albicans was susceptible to most of the tested antifungals.
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spelling pubmed-72167082020-05-18 Molecular identification and antifungal susceptibility profile of yeast from vulvovaginal candidiasis Shi, Yu Zhu, Yuxia Fan, Shangrong Liu, Xiaoping Liang, Yiheng Shan, Yingying BMC Infect Dis Research Article BACKGROUND: Accurate identification Candida is important for successful therapy and epidemiology study. The aim of research is to study API 20C yeast identification system identification rate by using molecular identification as gold standard and tested the antifungal susceptibility of Candida from patients with vulvovaginal candidiasis (VVC). METHODS: In total, 3574 yeast isolates were obtained from patients with VVC. API 20C yeast identification, molecular identification and in vitro antifungal susceptibility were performed. RESULTS: C. albicans was the predominant Candida species [2748 isolates, 76.9%] in VVC. The isolates from vaginal samples represented 22 species based on molecular identification. The API 20C system identifies only 11 of the species encountered during the study period. Based on the API 20C system, 3273 (91.58%) isolates were correctly identified to the species level. The correct identification rate of the API 20C system for rare yeast was 15.29% (26/170 isolates). Antifungal susceptibility was tested in a total of 1844 isolates of Candida from patients with VVC. C. albicans was susceptible to most of the tested antifungals. The MICs of azoles for C. glabrata were higher than those for C. albicans. The MICs of echinocandins for C. parapsilosis were higher than those for C. albicans. CONCLUSIONS: The API 20C yeast identification system can be used to reliably identify the most common Candida species while molecular methods are necessary for the identification of closely related, emerging, and rare yeast species. The results from this study suggest that much of the previous studies on the epidemiology of VVC should be re-thought. C. albicans was susceptible to most of the tested antifungals. BioMed Central 2020-04-19 /pmc/articles/PMC7216708/ /pubmed/32393342 http://dx.doi.org/10.1186/s12879-020-04985-w Text en © The Author(s) 2020, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Shi, Yu
Zhu, Yuxia
Fan, Shangrong
Liu, Xiaoping
Liang, Yiheng
Shan, Yingying
Molecular identification and antifungal susceptibility profile of yeast from vulvovaginal candidiasis
title Molecular identification and antifungal susceptibility profile of yeast from vulvovaginal candidiasis
title_full Molecular identification and antifungal susceptibility profile of yeast from vulvovaginal candidiasis
title_fullStr Molecular identification and antifungal susceptibility profile of yeast from vulvovaginal candidiasis
title_full_unstemmed Molecular identification and antifungal susceptibility profile of yeast from vulvovaginal candidiasis
title_short Molecular identification and antifungal susceptibility profile of yeast from vulvovaginal candidiasis
title_sort molecular identification and antifungal susceptibility profile of yeast from vulvovaginal candidiasis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7216708/
https://www.ncbi.nlm.nih.gov/pubmed/32393342
http://dx.doi.org/10.1186/s12879-020-04985-w
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