Interrogation of the perturbed gut microbiota in gouty arthritis patients through in silico metabolic modeling.

ABSTRACT: Recent studies have shown perturbed gut microbiota associated with gouty arthritis, a metabolic disease characterized by an imbalance between uric acid production and excretion. To mechanistically investigate altered microbiota metabolism associated with gout disease, 16S rRNA gene amplicon sequence data from stool samples of gout patients and healthy controls were computationally analyzed through bacterial community metabolic models. Patient-specific community models constructed with the metagenomics modeling pipeline, mgPipe, were used to perform k-means clustering of samples according to their metabolic capabilities. The clustering analysis generated statistically significant partitioning of samples into a Bacteroides-dominated, high gout cluster and a Faecalibacterium-ele

SUBMITTER: Henson MA 

PROVIDER: S-EPMC8257998 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature