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.
目的: 分析血尿酸与肠道优势菌群的相关性，探讨高尿酸血症相关影响因素。方法: 收集2018年1月至2020年4月在浙江树人学院树兰国际医学院树兰（杭州）医院体检并进行肠道优势菌群检测人群的资料。采用倾向性评分匹配法对其中高尿酸血症人群和正常血尿酸人群的年龄、性别、体质指数等基线资料进行1∶1匹配，共匹配出178对，分别命名为高尿酸血症组和对照组，比较两组肠道优势菌群差异，采用Pearson或Spearman相关系数法分析血尿酸与肠道优势菌群的相关性，并采用单因素和多因素logistic回归分析高尿酸血症的相关影响因素。结果: 高尿酸血症组奇异菌、乳杆菌、拟杆菌、肠球菌、柔嫩梭菌、普拉梭菌、双歧杆菌、丁酸梭菌数及双歧杆菌数与肠杆菌数比值（B/E值）均低于对照组（均P<0.01）。相关性分析结果显示，血尿酸与奇异菌（r=－0.224，P<0.01）、拟杆菌（r=－0.116，P<0.05）、柔嫩梭菌（r=－0.196，P<0.01）、普拉梭菌（r=－0.244，P<0.01）、双歧杆菌（r=－0.237，P<0.01）、直肠真杆菌（r=－0.125，P<0.05）、丁酸梭菌数（r=－0.176，P<0.01）及B/E值（r=－0.127，P<0.05）负相关。多因素logistic回归分析结果显示，谷氨酰转肽酶是高尿酸血症的独立危险因素（OR=1.007，95%CI：1.002~1.012，P<0.05），而奇异菌是高尿酸血症的独立保护因素（OR=0.714，95%CI：0.605~0.842，P<0.01）。结论: 高尿酸血症患者存在肠道菌群失调，其中奇异菌是高尿酸血症的独立保护因素。.
Keywords: Atopobium; Dominant microbiota; Gut microbiota; Hyperuricemia; Serum uric acid.