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409 对细菌-药物对的高通量转录组学研究揭示了肠道微生物扰动的驱动因素。

High-throughput transcriptomics of 409 bacteria-drug pairs reveals drivers of gut microbiota perturbation.

机构信息

Department of Systems Biology, Columbia University, New York, NY, USA.

Integrated Program in Cellular, Molecular, and Biomedical Studies, Columbia University, New York, NY, USA.

出版信息

Nat Microbiol. 2024 Feb;9(2):561-575. doi: 10.1038/s41564-023-01581-x. Epub 2024 Jan 17.

DOI:10.1038/s41564-023-01581-x
PMID:38233648
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11287798/
Abstract

Many drugs can perturb the gut microbiome, potentially leading to negative health consequences. However, mechanisms of most microorganism-drug responses have not been elucidated at the genetic level. Using high-throughput bacterial transcriptomics, we systematically characterized the gene expression profiles of prevalent human gut bacteria exposed to the most frequently prescribed orally administered pharmaceuticals. Across >400 drug-microorganism pairs, significant and reproducible transcriptional responses were observed, including pathways involved in multidrug resistance, metabolite transport, tartrate metabolism and riboflavin biosynthesis. Importantly, we discovered that statin-mediated upregulation of the AcrAB-TolC efflux pump in Bacteroidales species enhances microbial sensitivity to vitamin A and secondary bile acids. Moreover, gut bacteria carrying acrAB-tolC genes are depleted in patients taking simvastatin, suggesting that drug-efflux interactions generate collateral toxicity that depletes pump-containing microorganisms from patient microbiomes. This study provides a resource to further understand the drivers of drug-mediated microbiota shifts for better informed clinical interventions.

摘要

许多药物会扰乱肠道微生物组,可能导致负面的健康后果。然而,大多数微生物-药物反应的机制尚未在遗传水平上阐明。本研究采用高通量细菌转录组学技术,系统地描述了暴露于最常开处方的口服药物的常见人类肠道细菌的基因表达谱。在 >400 对药物-微生物对中,观察到显著且可重复的转录反应,包括涉及多药耐药、代谢物转运、酒石酸盐代谢和核黄素生物合成的途径。重要的是,我们发现,他汀类药物上调拟杆菌门物种中 AcrAB-TolC 外排泵,增强了微生物对维生素 A 和次级胆汁酸的敏感性。此外,服用辛伐他汀的患者中携带 acrAB-tolC 基因的肠道细菌减少,这表明药物外排相互作用会产生附带毒性,从而从患者微生物组中耗尽含有泵的微生物。这项研究提供了一个资源,以进一步了解药物介导的微生物群转移的驱动因素,从而更好地进行临床干预。

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本文引用的文献

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