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ABSTRACT: Background
Interactions between the gut microbiota, microglia, and aging may modulate Alzheimer's disease (AD) pathogenesis but the precise nature of such interactions is not known.Methods
We developed an integrated multi-dimensional, knowledge-driven, systems approach to identify interactions among microbial metabolites, microglia, and AD. Publicly available datasets were repurposed to create a multi-dimensional knowledge-driven pipeline consisting of an integrated network of microbial metabolite-gene-pathway-phenotype (MGPPN) consisting of 34,509 nodes (216 microbial metabolites, 22,982 genes, 1329 pathways, 9982 mouse phenotypes) and 1,032,942 edges.Results
We evaluated the network-based ranking algorithm by showing that abnormal microglia function and physiology
SUBMITTER: Wang Q
PROVIDER: S-EPMC8529734 | biostudies-literature | 2021 Oct
REPOSITORIES: biostudies-literature