Discriminative Gut Microbial Signatures in Hyperuricemia and Overweight Populations Revealed by Metagenomic Sequencing.

Overweight individuals showed significantly reduced alpha-diversity compared to healthy controls, while hyperuricemia individuals did not show a statistically significant reduction.

• Shannon index: OW vs HL Mann-Whitney U = 1008; p = 0.040 (significant); HU vs HL Mann-Whitney U = 306; p = 0.462 (not significant)
• Richness index: OW vs HL Mann-Whitney U = 1072; p = 0.092 (not significant); HU vs HL Mann-Whitney U = 307; p = 0.469 (not significant)
• Total sample size was 144 participants divided into three groups: healthy controls (HL, n = 29), hyperuricemia group (HU, n = 24), and overweight group (OW, n = 91)
• Fecal metagenomes were analyzed using metagenomic sequencing

LEfSe analysis identified four discriminatory gut microbial species in the hyperuricemia group.

• The four discriminatory species in the HU group were Alistipes putredinis, Mediterraneibacter faecis, Streptococcus oralis, and Gemella sanguinis
• These species were identified as potential biomarkers for the progression of chronic metabolic diseases
• Linear discriminant analysis effect size (LEfSe) was the analytical method used to identify discriminatory taxa

LEfSe analysis identified five discriminatory gut microbial species in the overweight group.

• The five discriminatory species in the OW group were Pantoea endophytica, Pantoea vagans, Phocaeicola coprophilus, Ruminococcus SGB4421, and Klebsiella oxytoca
• These species were identified as potential biomarkers for the progression of chronic metabolic diseases
• The overweight group had the largest sample size (n = 91) of the three groups

Significant differences in psychological states and microbial ecology were observed between the metabolic disorder groups and the healthy control group.

• Both the hyperuricemia (HU) and overweight (OW) groups differed significantly from healthy controls (HL) in psychological states and microbial ecology (p < 0.05)
• Both metabolic disorder groups presented significant changes in gut microbial composition compared to healthy individuals
• The study used a cross-sectional design with comprehensive phenotypic profiles analyzed alongside metagenomes

The study recruited 144 participants across three diagnostic categories for cross-sectional analysis of gut microbiota in metabolic disorders.

• Participants were divided into: healthy controls (HL, n = 29), hyperuricemia group (HU, n = 24), and overweight group (OW, n = 91)
• Fecal samples were analyzed using metagenomic sequencing for taxonomic diversity, community structure, and species-level differences
• Both comprehensive phenotypic profiles and metagenomes were analyzed for all three groups