Zhao Han, Fu Shaliu, Yu Yifei, Zhang Zhanbing, Li Ping, Ma Qin, Jia Wei, Ning Kang, Qu Shen, Liu Qi
Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, and Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, China.
Department of Mathematics and Statistics, South Dakota State University, Brookings, South Dakota, USA.
mSystems. 2019 Oct 8;4(5):e00413-19. doi: 10.1128/mSystems.00413-19.
Understanding how the human microbiome affects human health has consequences for treating disease and minimizing unwanted side effects in clinical research. Here, we present (http://metamed.rwebox.com/index), a novel and integrative system-wide correlation mapping system to link bacterial functions and medicine therapeutics, providing novel hypotheses for deep investigation of microbe therapeutic effects on human health. Furthermore, comprehensive relationships between microbes living in the environment and drugs were discovered, providing a rich source for discovering microbiota metabolites with great potential for pharmaceutical applications.
了解人类微生物组如何影响人类健康对于疾病治疗以及将临床研究中的不良副作用降至最低具有重要意义。在此，我们展示了一个新颖的全系统关联图谱系统（http://metamed.rwebox.com/index），用于将细菌功能与药物治疗联系起来，为深入研究微生物对人类健康的治疗作用提供新的假设。此外，还发现了环境中微生物与药物之间的全面关系，为发现具有巨大药物应用潜力的微生物群代谢产物提供了丰富来源。
