Department of Systems Biology, University of Massachusetts Medical School, Worcester, MA, USA.
Science. 2024 Apr 5;384(6691):93-100. doi: 10.1126/science.adk7368. Epub 2024 Mar 14.
Numerous nonantibiotic drugs have potent antibacterial activity and can adversely affect the human microbiome. The mechanistic underpinning of this toxicity remains largely unknown. We investigated the antibacterial activity of 200 drugs using genetic screens with thousands of barcoded knockouts. We analyzed 2 million gene-drug interactions underlying drug-specific toxicity. Network-based analysis of drug-drug similarities revealed that antibiotics clustered into modules that are consistent with the mode of action of their established classes, whereas nonantibiotics remained unconnected. Half of the nonantibiotics clustered into separate modules, potentially revealing shared and unexploited targets for new antimicrobials. Analysis of efflux systems revealed that they widely affect antibiotics and nonantibiotics alike, suggesting that the impact of nonantibiotics on antibiotic cross-resistance should be investigated closely in vivo.
许多非抗生素药物具有很强的抗菌活性,并可能对人体微生物组产生不利影响。这种毒性的机制基础在很大程度上尚不清楚。我们使用带有数千个条形码敲除的遗传筛选,研究了 200 种药物的抗菌活性。我们分析了 200 万个基因-药物相互作用,这些相互作用是药物特异性毒性的基础。基于网络的药物相似性分析表明,抗生素聚集在与它们已建立的类别作用模式一致的模块中,而非抗生素则仍然没有连接。一半的非抗生素药物聚集在单独的模块中,这可能揭示了针对新抗菌药物的共同且未被开发的靶点。对流出系统的分析表明,它们广泛影响抗生素和非抗生素,这表明应在体内密切研究非抗生素对抗生素交叉耐药性的影响。