Related Experiment Video
Updated: Jan 13, 2026
Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
Published on: October 15, 2019
Discriminative Gut Microbial Signatures in Hyperuricemia and Overweight Populations Revealed by Metagenomic
Tianqi Chen1,2, Yang Guo1,3, Dong Liang4
1Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Processing, Ministry of Agriculture and Rural Affairs, 100193 Beijing, China.
Background:
This cross-sectional study aimed to investigate the relationships between gut microbiota compositional alterations and chronic metabolic disorders by analyzing taxonomic diversity, community structure, and species-level differences in individuals with hyperuricemia (HUA) and a history of being overweight. Our findings offer novel insights into microbiota-targeted therapeutic strategies for managing metabolic diseases. A total of 144 participants were recruited and divided into three diagnostic categories: healthy controls (HL, n = 29), hyperuricemia group (HU, n = 24), and overweight (OW, n = 91).
Methods:
Comprehensive phenotypic profiles and metagenomes were analyzed for fecal samples from the three groups.
Results:
Significant differences were observed in psychological states and microbial ecology between the metabolic disorder groups (HU and OW) and the control group (HL) (p < 0.05). Both the overweight individuals and those with HUA presented significant changes in gut microbial composition, with reduced α-diversity indices (Shannon index: HU vs HL Mann-Whitney U = 306; p = 0.462; OW vs HL Mann-Whitney U = 1008; p = 0.040; richness index: HU vs HL Mann-Whitney U = 307; p = 0.469; OW vs HL Mann-Whitney U = 1072; p = 0.092) compared to healthy individuals. Moreover, analysis of the linear discriminant analysis effect size (LEfSe) identified four discriminatory species in the HU group (Alistipes putredinis, Mediterraneibacter faecis, Streptococcus oralis, and Gemella sanguinis), and five in the OW group (Pantoea endophytica, Pantoea vagans, Phocaeicola coprophilus, Ruminococcus SGB4421, and Klebsiella oxytoca), representing potential biomarkers for the progression of chronic metabolic diseases.
Conclusion:
This study elucidates the characteristics of overweight individuals and those with HUA in terms of phenotypic features and gut microbiota, providing a theoretical reference for gut microbiota-targeted therapies and lifestyle interventions in chronic metabolic diseases.
