Meta-analysis of microbiome association networks reveal patterns of dysbiosis in diseased microbiomes.
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ABSTRACT: The human gut microbiome is composed of a diverse and dynamic population of microbial species which play key roles in modulating host health and physiology. While individual microbial species have been found to be associated with certain disease states, increasing evidence suggests that higher-order microbial interactions may have an equal or greater contribution to host fitness. To better understand microbial community dynamics, we utilize networks to study interactions through a meta-analysis of microbial association networks between healthy and disease gut microbiomes. Taking advantage of the large number of metagenomes derived from healthy individuals and patients with various diseases, together with recent advances in network inference that can deal with sparse compositional data, we
SUBMITTER: Lam TJ
PROVIDER: S-EPMC9581956 | biostudies-literature | 2022 Oct
REPOSITORIES: biostudies-literature
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