Correlation of gut dominant microbiota with hyperuricemia.
10.3724/zdxbyxb-2023-0018
- Author:
Zhaoyang JI
1
;
Mingzhi XU
2
;
Chai JIN
3
Author Information
1. Zhejiang Chinese Medical University, Hangzhou 310053, China. 202111121611495@zcmu.edu.cn.
2. Department of Endocrinology and Metabolism, Shulan (Hangzhou) Hospital Affiliated to Shulan International Medical College, Zhejiang Shuren University, Hangzhou 310004, China. xumz@zjcc.org.cn.
3. Department of Endocrinology and Metabolism, Shulan (Hangzhou) Hospital Affiliated to Shulan International Medical College, Zhejiang Shuren University, Hangzhou 310004, China.
- Publication Type:Journal Article
- Keywords:
Atopobium;
Dominant microbiota;
Gut microbiota;
Hyperuricemia;
Serum uric acid
- MeSH:
Humans;
Uric Acid;
Hyperuricemia;
Body Mass Index;
Risk Factors;
Microbiota
- From:
Journal of Zhejiang University. Medical sciences
2023;52(2):207-213
- CountryChina
- Language:English
-
Abstract:
OBJECTIVES:To study the correlation of intestinal dominant flora with hyperuricemia, and to explore influencing factors of hyperuricemia.
METHODS:Data of gut dominant microbiota were collected from subjects who underwent health check-up in Shulan (Hangzhou) Hospital from January 2018 to April 2020. Subjects with high uric acid and normal uric acid were matched by propensity score matching method according to age, gender and body mass index (BMI). This resulted in 178 pairs as hyperuricemia group and control group. The gut dominant microbiota between hyperuricemia and normal control group were compared. Pearson or Spearman correlation coefficient method was used to analyze the correlation between blood uric acid and intestinal dominant flora. Univariate and multivariate logistic regression were used to analyze the influencing factors of hyperuricemia.
RESULTS:The abundance of Atopobium, Lactobacillus, Bacteroides, Enterococcus, Clostridium leptum, Fusobacterium prausnitzii, Bifidobacterium, Clostridium butyricum and the ratio of Bifidobacterium to Enterobacter (B/E) in the hyperuricemia group were significantly lower than those in the control group (all P<0.01). The correlation analysis showed that serum uric acid were negatively correlated with the abundance of Atopobium (r=-0.224, P<0.01), Bacteroides (r=-0.116, P<0.05), Clostridium leptum (r=-0.196, P<0.01), Fusobacterium prausnitzii (r=-0.244, P<0.01), Bifidobacterium (r=-0.237, P<0.01), Eubacterium rectale (r=-0.125, P<0.05), Clostridium butyricum (r=-0.176, P<0.01) and B/E value (r=-0.127, P<0.05). Multivariate logistic regression analysis showed that glutamyl transpeptidase was an independent risk factor for hyperuricemia (OR=1.007, 95%CI: 1.002-1.012, P<0.05), and the Atopobium was an independent protective factor for hyperuricemia (OR=0.714, 95%CI: 0.605-0.842, P<0.01).
CONCLUSIONS:There are alterations in abundance of gut dominant microbiota in patients with hyperuricemia, and Atopobium abundance appears as a protective factor for hyperuricemia.