Wang Cheng-Yu, Wen Qing-Feng, Wang Qiao-Qiao, Kuang Xia, Dong Chuan, Deng Zi-Xin, Guo Feng-Biao
Department of Respiratory and Critical Care Medicine, Zhongnan Hospital of Wuhan University, Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education and School of Pharmaceutical Sciences, Wuhan University, Wuhan, China.
School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China.
Front Microbiol. 2022 Jun 15;13:896740. doi: 10.3389/fmicb.2022.896740. eCollection 2022.
The beneficial metabolites of the microbiome could be used as a tool for screening drugs that have the potential for the therapy of various human diseases. Narrowing down the range of beneficial metabolite candidates in specific diseases was primarily a key step for further validation in model organisms. Herein, we proposed a reasonable hypothesis that the metabolites existing commonly in multiple beneficial (or negatively associated) bacteria might have a high probability of being effective drug candidates for specific diseases. According to this hypothesis, we screened metabolites associated with seven human diseases. For type I diabetes, 45 out of 88 screened metabolites had been reported as potential drugs in the literature. Meanwhile, 18 of these metabolites were specific to type I diabetes. Additionally, metabolite correlation could reflect disease relationships in some sense. Our results have demonstrated the potential of bioinformatics mining gut microbes' metabolites as drug candidates based on reported numerous microbe-disease associations and the Virtual Metabolic Human database. More subtle methods would be developed to ensure more accurate predictions.
微生物组的有益代谢产物可作为一种工具,用于筛选具有治疗各种人类疾病潜力的药物。缩小特定疾病中有益代谢产物候选物的范围主要是在模式生物中进行进一步验证的关键步骤。在此,我们提出了一个合理的假设,即多种有益(或负相关)细菌中普遍存在的代谢产物很有可能成为特定疾病的有效候选药物。根据这一假设,我们筛选了与七种人类疾病相关的代谢产物。对于I型糖尿病,在筛选出的88种代谢产物中,有45种在文献中被报道为潜在药物。同时,其中18种代谢产物是I型糖尿病特有的。此外,代谢产物相关性在某种程度上可以反映疾病关系。我们的结果基于已报道的众多微生物-疾病关联和虚拟代谢人类数据库,证明了通过生物信息学挖掘肠道微生物代谢产物作为候选药物的潜力。将开发更精细的方法以确保更准确的预测。