乔建军等:系统解析基于群体感应的药物-微生物-疾病互作关系
  • 开发一套工作流程,构建基于群体感应(QS)的药物-微生物-疾病(QS-DMD)数据库,包含8000多种药物、163种微生物和42种常见疾病的不同相互作用;
  • 通过靶向微生物QS受体,结合基于分子对接的虚拟筛选技术和体外实验验证,系统性地研究了微生物和8000多种药物之间的潜在相互作用;
  • 构建基于QS的药物-受体互作网络,提出药物-受体-微生物-疾病联系的系统框架,并基于QS-DMD绘制一个聚合的循环互作网络,揭示QS在已知因果关系中的作用。
主编推荐语
mildbreeze
药物分子可能与肠道微生物的群体感应(QS)受体结合,影响微生物的QS调控,从而影响菌群的组成和功能。天津大学乔建军、李艳妮和中南大学郭菲与团队近期在Science China Life Sciences发表文章,建立了基于QS的药物-微生物-疾病(QS-DMD)数据库(http://www.qsdmd.lbci.net),系统性分析了微生物与药物间的相互作用,并构建了药物-QS受体-微生物-疾病的系统框架和互作网络。该研究为揭示药物-菌群互作以及研发靶向肠道微生物QS系统的药物提供了新资源。
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Quorum sensing-based interactions among drugs, microbes, and diseases

基于群体感应的药物、微生物和疾病之间的相互作用

10.1007/s11427-021-2121-0

2022-08-04, Article

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Many diseases and health conditions are closely related to various microbes, which participate in complex interactions with diverse drugs; nonetheless, the detailed targets of such drugs remain to be elucidated. Many existing studies have reported causal associations among drugs, gut microbes, or diseases, calling for a workflow to reveal their intricate interactions. In this study, we developed a systematic workflow comprising three modules to construct a Quorum Sensing-based Drug-Microbe-Disease (QS-DMD) database ( http://www.qsdmd.lbci.net/ ), which includes diverse interactions for more than 8,000 drugs, 163 microbes, and 42 common diseases. Potential interactions between microbes and more than 8,000 drugs have been systematically studied by targeting microbial QS receptors combined with a docking-based virtual screening technique and in vitro experimental validations. Furthermore, we have constructed a QS-based drug-receptor interaction network, proposed a systematic framework including various drug-receptor-microbe-disease connections, and mapped a paradigmatic circular interaction network based on the QS-DMD, which can provide the underlying QS-based mechanisms for the reported causal associations. The QS-DMD will promote an understanding of personalized medicine and the development of potential therapies for diverse diseases. This work contributes to a paradigm for the construction of a molecule-receptor-microbe-disease interaction network for human health that may form one of the key knowledge maps of precision medicine in the future.

First Authors:
Shengbo Wu,Shujuan Yang

Correspondence Authors:
Yanni Li,Fei Guo,Jianjun Qiao

All Authors:
Shengbo Wu,Shujuan Yang,Manman Wang,Nan Song,Jie Feng,Hao Wu,Aidong Yang,Chunjiang Liu,Yanni Li,Fei Guo,Jianjun Qiao

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