4.8 Article

Strategy for an Association Study of the Intestinal Microbiome and Brain Metabolome Across the Lifespan of Rats

Journal

ANALYTICAL CHEMISTRY
Volume 90, Issue 4, Pages 2475-2483

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.analchem.7b02859

Keywords

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Funding

  1. National Key Research and Development Program of China [2017YFC0906800]
  2. National Natural Science Foundation of China [31501079, 31500954, 81772530]
  3. Shanghai Jiao Tong University Biomedical Engineering Cross Research Foundation [YG2015MS15]

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There is increased appreciation for the diverse roles of the microbiome-gut-brain axis on mammalian growth and health throughout the lifespan. Numerous studies have demonstrated that the gut microbiome and their metabolites are extensively involved in the communication between brain and gut. Association study of brain metabolome and gut microbiome is an active field offering large amounts of information on the interaction of microbiome, brain and gut but data size and complicated hierarchical relationships were found to be major obstacles to the formation of significant, reproducible conclusions. This study addressed a two-level strategy of brain metabolome and gut microbiome association analysis of male Wistar rats in the process of growth, employing several analytical platforms and various bioinformatics methods. Trajectory analysis showed that the age -related brain metabolome and gut microbiome had similarity in overall alteration patterns. Four high taxonomical level correlated pairs of metabolite type-bacterial phylum, including lipids-Spirochaetes, free fatty acids (FFAs)-Firmicutes, bile acids (BAs)-Firmicutes, and Neurotransmitters-Bacteroidetes, were screened out based on unit- and multivariant correlation analysis and function analysis. Four groups of specific metabolite-bacterium association pairs from within the above high level key pairs were further identified. The key correlation pairs were validated by an independent animal study. This two-level strategy is effective in identifying principal correlations in big data sets obtained from the systematic multiomics study, furthering our understanding on the lifelong connection between brain and gut.

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