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HgutMgene-Miner:用于解读人类肠道微生物群药物代谢潜力的计算机基因组挖掘工具。

HgutMgene-Miner: In silico genome mining tool for deciphering the drug-metabolizing potential of human gut microbiome.

作者信息

Amir Sana, Kumar Manish, Kumar Vikas, Mohanty Debasisa

机构信息

National Institute of Immunology, Aruna Asaf Ali Marg, New Delhi, 110067, India.

出版信息

Comput Biol Med. 2025 Mar;186:109679. doi: 10.1016/j.compbiomed.2025.109679. Epub 2025 Jan 24.

Abstract

The biotransformation of drugs by enzymes from the human microbiome can produce active or inactive products, impacting the bioactivity and function of these drugs inside the human host. However, understanding the biotransformation reactions of drug molecules catalyzed by bacterial enzymes in human microbiota is still limited. Hence, to characterize drug utilization capabilities across all the microbial phyla inside the human gut, we have used a knowledge-based approach to develop HgutMgene-Miner software which predicts xenobiotic metabolizing enzymes (XMEs) through genome mining. HgutMgene-Miner derives its predictive power from the MicrobiomeMetDB database, which systematically catalogs all known biotransformation reactions of xenobiotics and primary metabolites mediated by host-associated microbial enzymes. Over 10,000 isolate genomes from 830 different bacterial species found in the Unified Human Gastrointestinal Genome (UHGG) collection have been analyzed by HgutMgene-Miner. This led to the identification of 89,377 xenobiotic metabolizing enzymes (XMEs) across 13 phyla, with the greatest diversity in Bacteroidota, Firmicutes_A, Firmicutes, and Proteobacteria. Bacteroides, Clostridium, and Alitsipes were found to be the richest genera, while Actinomyces were found to encode the fewest XMEs, primarily metabolizing Diclofenac, a nonsteroidal anti-inflammatory drug. Overall, we discovered XMEs in 220 genera, exceeding the number experimentally reported in fewer than 10 genera. Notably, Eggerthella lenta's cgr2 involved in Digoxin inactivation was identified in very distant Holdemania genera, likewise Clostridium leptum's nitroreductase, involved in Nitrazepam metabolism, was found in Fusobacterium. These findings highlight the extensive and diverse distribution of XMEs across microbial taxa.

摘要

人类微生物组中的酶对药物的生物转化可产生活性或非活性产物,从而影响这些药物在人类宿主内的生物活性和功能。然而,对人类微生物群中细菌酶催化的药物分子生物转化反应的了解仍然有限。因此,为了表征人类肠道内所有微生物门的药物利用能力,我们采用了一种基于知识的方法来开发HgutMgene-Miner软件,该软件通过基因组挖掘预测外源性物质代谢酶(XMEs)。HgutMgene-Miner的预测能力源自MicrobiomeMetDB数据库,该数据库系统地编目了宿主相关微生物酶介导的所有已知外源性物质和初级代谢产物的生物转化反应。HgutMgene-Miner分析了统一人类胃肠道基因组(UHGG)集合中发现的来自830种不同细菌物种的10000多个分离基因组。这导致在13个门中鉴定出89377种外源性物质代谢酶(XMEs),其中拟杆菌门、厚壁菌门_A、厚壁菌门和变形菌门中的多样性最大。发现拟杆菌属、梭菌属和阿里茨菌属是最丰富的属,而放线菌属编码的XMEs最少,主要代谢非甾体抗炎药双氯芬酸。总体而言,我们在220个属中发现了XMEs,超过了实验报道的不到10个属的数量。值得注意的是,在非常远缘的霍尔德曼菌属中鉴定出了参与地高辛失活的迟缓埃格特菌的cgr2,同样,在梭杆菌属中发现了参与硝西泮代谢的纤细梭菌的硝基还原酶。这些发现突出了XMEs在微生物分类群中的广泛和多样分布。

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