The association between BMI and serum uric acid is partially mediated by gut microbiota

Author:

Duan Zhuo1ORCID,Fu Jingxiang1ORCID,Zhang Feng1,Cai Yijia1,Wu Guangyan1,Ma Wenjun2,Zhou Hongwei1,He Yan13

Affiliation:

1. Department of Laboratory Medicine, Microbiome Medicine Centre, Zhujiang Hospital, Southern Medical University , Guangzhou, Guangdong, China

2. Guangdong Provincial Institute of Public Health, Guangdong Provincial Centre for Disease Control and Prevention , Guangzhou, Guangdong, China

3. Guangdong Provincial Clinical Research Center for Laboratory Medicine , Guangzhou, Guangdong, China

Abstract

ABSTRACT Obesity is a risk factor for the development of hyperuricemia, both of which were related to gut microbiota. However, whether alterations in the gut microbiota lie in the pathways mediating obesity’s effects on hyperuricemia is less clear. Body mass index (BMI) and serum uric acid (SUA) were separately important indicators of obesity and hyperuricemia. Our study aims to investigate whether BMI-related gut microbiota characteristics would mediate the association between BMI and SUA levels. A total of 6,280 participants from Guangdong Gut Microbiome Project were included in this study. Stool samples were collected for 16S rRNA gene sequencing. The results revealed that BMI was significantly and positively associated with SUA. Meanwhile, BMI was significantly associated with the abundance of 102 gut microbial genera, 16 of which were also significantly associated with SUA. The mediation analysis revealed that the association between BMI and SUA was partially mediated by the abundance of Proteobacteria (proportion mediated: 0.94%, P < 0.05). At the genus level, 25 bacterial genera, including Ralstonia, Oscillospira, Faecalibacterium , etc., could also partially mediate the association of BMI with SUA (the highest proportion is mediated by Ralstonia , proportion mediated: 2.76%, P < 0.05). This study provided evidence for the associations among BMI, gut microbiota, and SUA, and the mediation analysis suggested that the association of BMI with SUA was partially mediated by the gut microbiota. IMPORTANCE Using 16S rRNA sequencing analysis, local interpretable machine learning technique analysis and mediation analysis were used to explore the association between BMI with SUA, and the mediating effects of gut microbial dysbiosis in the association were investigated.

Publisher

American Society for Microbiology

Subject

Infectious Diseases,Cell Biology,Microbiology (medical),Genetics,General Immunology and Microbiology,Ecology,Physiology

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