Bing Zhai, Chen Liao, Siddharth Jaggavarapu, Yuanyuan Tang, Thierry Rolling, Yating Ning, Tianshu Sun, Sean A. Bergin, Mergim Gjonbalaj, Edwin Miranda, N. Esther Babady, Oliver Bader, Ying Taur, Geraldine Butler, Li Zhang, Joao B. Xavier, David S. Weiss, Tobias M. Hohl
{"title":"抗真菌异抗性导致预防失败,并助长了副丝状念珠菌的突破性感染","authors":"Bing Zhai, Chen Liao, Siddharth Jaggavarapu, Yuanyuan Tang, Thierry Rolling, Yating Ning, Tianshu Sun, Sean A. Bergin, Mergim Gjonbalaj, Edwin Miranda, N. Esther Babady, Oliver Bader, Ying Taur, Geraldine Butler, Li Zhang, Joao B. Xavier, David S. Weiss, Tobias M. Hohl","doi":"10.1038/s41591-024-03183-4","DOIUrl":null,"url":null,"abstract":"<p>Breakthrough fungal infections in patients on antimicrobial prophylaxis during allogeneic hematopoietic cell transplantation (allo-HCT) represent a major and often unexplained cause of morbidity and mortality. <i>Candida parapsilosis</i> is a common cause of invasive candidiasis and has been classified as a high-priority fungal pathogen by the World Health Organization. In high-risk allo-HCT recipients on micafungin prophylaxis, we show that heteroresistance (the presence of a phenotypically unstable, low-frequency subpopulation of resistant cells (~1 in 10,000)) underlies breakthrough bloodstream infections by <i>C. parapsilosis</i>. By analyzing 219 clinical isolates from North America, Europe and Asia, we demonstrate widespread micafungin heteroresistance in <i>C. parapsilosis</i>. Standard antimicrobial susceptibility tests, such as broth microdilution or gradient diffusion assays, which guide drug selection for invasive infections, fail to detect micafungin heteroresistance in <i>C. parapsilosis</i>. To facilitate rapid detection of micafungin heteroresistance in <i>C. parapsilosis</i>, we constructed a predictive machine learning framework that classifies isolates as heteroresistant or susceptible using a maximum of ten genomic features. These results connect heteroresistance to unexplained antifungal prophylaxis failure in allo-HCT recipients and demonstrate a proof-of-principle diagnostic approach with the potential to guide clinical decisions and improve patient care.</p>","PeriodicalId":19037,"journal":{"name":"Nature Medicine","volume":null,"pages":null},"PeriodicalIF":58.7000,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Antifungal heteroresistance causes prophylaxis failure and facilitates breakthrough Candida parapsilosis infections\",\"authors\":\"Bing Zhai, Chen Liao, Siddharth Jaggavarapu, Yuanyuan Tang, Thierry Rolling, Yating Ning, Tianshu Sun, Sean A. Bergin, Mergim Gjonbalaj, Edwin Miranda, N. Esther Babady, Oliver Bader, Ying Taur, Geraldine Butler, Li Zhang, Joao B. Xavier, David S. Weiss, Tobias M. Hohl\",\"doi\":\"10.1038/s41591-024-03183-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Breakthrough fungal infections in patients on antimicrobial prophylaxis during allogeneic hematopoietic cell transplantation (allo-HCT) represent a major and often unexplained cause of morbidity and mortality. <i>Candida parapsilosis</i> is a common cause of invasive candidiasis and has been classified as a high-priority fungal pathogen by the World Health Organization. In high-risk allo-HCT recipients on micafungin prophylaxis, we show that heteroresistance (the presence of a phenotypically unstable, low-frequency subpopulation of resistant cells (~1 in 10,000)) underlies breakthrough bloodstream infections by <i>C. parapsilosis</i>. By analyzing 219 clinical isolates from North America, Europe and Asia, we demonstrate widespread micafungin heteroresistance in <i>C. parapsilosis</i>. Standard antimicrobial susceptibility tests, such as broth microdilution or gradient diffusion assays, which guide drug selection for invasive infections, fail to detect micafungin heteroresistance in <i>C. parapsilosis</i>. To facilitate rapid detection of micafungin heteroresistance in <i>C. parapsilosis</i>, we constructed a predictive machine learning framework that classifies isolates as heteroresistant or susceptible using a maximum of ten genomic features. 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Breakthrough fungal infections in patients on antimicrobial prophylaxis during allogeneic hematopoietic cell transplantation (allo-HCT) represent a major and often unexplained cause of morbidity and mortality. Candida parapsilosis is a common cause of invasive candidiasis and has been classified as a high-priority fungal pathogen by the World Health Organization. In high-risk allo-HCT recipients on micafungin prophylaxis, we show that heteroresistance (the presence of a phenotypically unstable, low-frequency subpopulation of resistant cells (~1 in 10,000)) underlies breakthrough bloodstream infections by C. parapsilosis. By analyzing 219 clinical isolates from North America, Europe and Asia, we demonstrate widespread micafungin heteroresistance in C. parapsilosis. Standard antimicrobial susceptibility tests, such as broth microdilution or gradient diffusion assays, which guide drug selection for invasive infections, fail to detect micafungin heteroresistance in C. parapsilosis. To facilitate rapid detection of micafungin heteroresistance in C. parapsilosis, we constructed a predictive machine learning framework that classifies isolates as heteroresistant or susceptible using a maximum of ten genomic features. These results connect heteroresistance to unexplained antifungal prophylaxis failure in allo-HCT recipients and demonstrate a proof-of-principle diagnostic approach with the potential to guide clinical decisions and improve patient care.
期刊介绍:
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