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抗真菌异质性耐药导致预防治疗失败,并促进了近平滑念珠菌感染的突破。

Antifungal heteroresistance causes prophylaxis failure and facilitates breakthrough Candida parapsilosis infections.

机构信息

Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.

Infectious Disease Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

出版信息

Nat Med. 2024 Nov;30(11):3163-3172. doi: 10.1038/s41591-024-03183-4. Epub 2024 Aug 2.

Abstract

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.

摘要

在异基因造血细胞移植(allo-HCT)中接受抗菌预防的患者中,突破性真菌感染是发病率和死亡率的一个主要且通常未得到解释的原因。近平滑念珠菌是侵袭性念珠菌病的常见原因,已被世界卫生组织(WHO)列为高优先级真菌病原体。在接受米卡芬净预防的高危 allo-HCT 受者中,我们发现异质性耐药(表型不稳定、低频率耐药细胞亚群(~1/10000)的存在)是导致近平滑念珠菌突破性血流感染的原因。通过分析来自北美、欧洲和亚洲的 219 株临床分离株,我们证明了近平滑念珠菌中存在广泛的米卡芬净异质性耐药。指导侵袭性感染药物选择的标准抗菌药物敏感性测试(如肉汤微量稀释或梯度扩散测定)未能检测到近平滑念珠菌中的米卡芬净异质性耐药。为了促进快速检测近平滑念珠菌中的米卡芬净异质性耐药,我们构建了一个预测机器学习框架,该框架使用最多十个基因组特征将分离物分类为异质性耐药或敏感。这些结果将异质性耐药与 allo-HCT 受者中未解释的抗真菌预防失败联系起来,并证明了一种具有潜在指导临床决策和改善患者护理能力的诊断方法。

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