National Clinical Research Center for Child Health, Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310052, China.
Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, NMPA Key Laboratory for Testing and Risk Warning of Pharmaceutical Microbiology, Zhejiang Institute of Microbiology, Hangzhou 310012, China.
Bioinformatics. 2020 Jun 1;36(11):3493-3498. doi: 10.1093/bioinformatics/btaa188.
Microbiome-metabolome association studies have experienced exponential growth for an in-depth understanding of the impact of microbiota on human health over the last decade. However, analyzing the resulting multi-omics data and their correlations remains a significant challenge due to the lack of a comprehensive computational tool that can facilitate data integration and interpretation. In this study, an automated microbiome and metabolome integrative analysis pipeline (M2IA) has been developed to meet the urgent needs for tools that can effectively integrate microbiome and metabolome data to derive biological insights.
M2IA streamlines the integrative data analysis between metabolome and microbiome, from data preprocessing, univariate and multivariate statistical analyses, advanced functional analysis for biological interpretation, to a summary report. The functionality of M2IA was demonstrated using TwinsUK cohort datasets consisting of 1116 fecal metabolites and 16s rRNA microbiome from 786 individuals. Moreover, two important metabolic pathways, i.e. benzoate degradation and phosphotransferase system, were identified to be closely associated with obesity.
M2IA is public available at http://m2ia.met-bioinformatics.cn.
yanni617@zju.edu.cn or fjf68@zju.edu.cn.
Supplementary data are available at Bioinformatics online.
在过去十年中，为了深入了解微生物组对人类健康的影响，微生物组-代谢组关联研究经历了指数级增长。然而，由于缺乏能够促进数据集成和解释的综合计算工具，分析由此产生的多组学数据及其相关性仍然是一个重大挑战。在这项研究中，开发了一种自动化的微生物组和代谢组综合分析管道（M2IA），以满足有效整合微生物组和代谢组数据以获得生物学见解的工具的迫切需求。
M2IA 简化了代谢组和微生物组之间的综合数据分析，从数据预处理、单变量和多变量统计分析、高级功能分析以进行生物学解释，到总结报告。使用来自 786 个人的 1116 种粪便代谢物和 16s rRNA 微生物组的 TwinsUK 队列数据集演示了 M2IA 的功能。此外，确定了两个重要的代谢途径，即苯甲酸降解和磷酸转移酶系统，与肥胖密切相关。
M2IA 可在 http://m2ia.met-bioinformatics.cn 上公开获得。
yanni617@zju.edu.cn 或 fjf68@zju.edu.cn。
补充数据可在《生物信息学》在线获得。
