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M2IA: a web server for microbiome and metabolome integrative analysis.
1National Clinical Research Center for Child Health, Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310052, China.
Bioinformatics (Oxford, England)
|March 17, 2020
Summary
A new pipeline, M2IA, integrates microbiome and metabolome data for biological insights. It identified key metabolic pathways linked to obesity using human cohort data.
Area of Science:
- Microbiome research
- Metabolomics
- Bioinformatics
Background:
- Microbiome-metabolome association studies are growing for understanding human health.
- Analyzing multi-omics data is challenging due to a lack of integrated computational tools.
Purpose of the Study:
- To develop an automated pipeline (M2IA) for integrating microbiome and metabolome data.
- To facilitate data interpretation and derive biological insights from multi-omics data.
Main Methods:
- Developed an automated microbiome and metabolome integrative analysis pipeline (M2IA).
- M2IA includes data preprocessing, statistical analyses, and functional analysis.
- Utilized TwinsUK cohort data (1116 metabolites, 16S rRNA microbiome, 786 individuals).
Main Results:
- M2IA streamlines integrative analysis from preprocessing to reporting.
- Identified benzoate degradation and phosphotransferase system pathways associated with obesity.
- Demonstrated M2IA's functionality on a large human cohort dataset.
Conclusions:
- M2IA provides an effective tool for microbiome-metabolome data integration.
- The pipeline aids in uncovering biological insights, such as metabolic pathways linked to obesity.
