Author:
Zhai Bing,Liao Chen,Jaggavarapu Siddharth,Rolling Thierry,Bergin Sean A.,Gjonbalaj Mergim,Miranda Edwin,Babady N. Esther,Butler Geraldine,Taur Ying,Xavier Joao B.,Weiss David S.,Hohl Tobias M.
Abstract
AbstractAntimicrobial drug resistance is a major problem in the prevention and treatment of infectious diseases. For patients on antimicrobial prophylaxis during cancer treatment and organ transplantation, breakthrough infections represent a significant and often unexplained cause of morbidity. Here, in high-risk patients on micafungin prophylaxis, we reveal that heteroresistance, the presence of a phenotypically unstable, low frequency subpopulation of resistant cells (∼1 in 10,000), causes breakthrough bloodstream infections by Candida parapsilosis strains that were misclassified as susceptible by standard antimicrobial susceptibility testing. Genome-matched micafungin heteroresistant strains were isolated from the intestinal reservoir prior to invasive disease. To identify heteroresistance, we harnessed whole genome sequence analysis of 118 clinical C. parapsilosis strains and extracted six genetic features into a predictive machine learning model that distinguished heteroresistant strains with high accuracy. These data directly implicate heteroresistance in unexplained prophylaxis failure and highlight a proof-of-principle approach to detect this phenomenon and inform clinical decisions.
Publisher
Cold Spring Harbor Laboratory
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献