基于倾向性评分匹配法筛选高尿酸血症的差异核心菌群

Screening differential core gut microbiota of hyperuricemia based on Propensity Score Matching

目的基于16S rDNA V3+V4区二代测序技术和倾向性评分匹配法,筛选高尿酸血症患者和非高尿酸血症人群的差异核心菌群。方法采用Illumina HiSeq二代测序技术分析肠道菌群组成和丰度;使用倾向性评分匹配法对高尿酸血症患者和非高尿酸血症人群进行1∶1匹配,R edgeR和bnlearn包筛选高尿酸血症的差异核心菌群;运用PICRUSt平台对差异核心菌群进行功能预测。结果在属水平上,Fla⁃vonifractor、Acidaminobacter、Bilophila为差异核心菌群且均在高尿酸血症患者中上调;Signal Transductiona、Two⁃component system、Carbon fixation in photosynthetic organisms、Glycolysis/Gluconeogenesis、Fructose and mannose metabolism等通路高尿酸血症组均高于对照组。结论高尿酸血症患者与非高尿酸血症人群的差异核心菌群为Flavonifractor、Acidaminobacter和Bilophila,其发病机制与碳水化合物和能量代谢等通路显著相关。

Objective The aim of this study was to investigate the relationship between gut microbiota and hyperuricemia based on the high⁃throughput sequencing technology and Propensity Score Matching.Methods The Illumina HiSeq sequencing technology was used to analyze the composition and the abundance of gut microbiota.133 samples were matched 1∶1 with Propensity Score Matching method.Using the edgeR and bnlearn packages to find differential core microbiota.Predictive function of differential core microbiota was inferred using the PICRUSt.Results At the genus level,Flavonifractor,Acidaminobacter,Bilophila were differential core microbiota and up⁃regulated in hyperuricemia.Different predictive functions included signal transductiona,two⁃component system,carbon fixation in photosynthetic organisms,glycolysis/gluconeogenesis,fructose and mannose metabolism,and they were all significantly up⁃regulated in hyperuricemia.Conclusion The differential core microbiota between hy⁃peruricemia patients and non⁃hyperuricemia population are Flavonifractor,Acidaminobacter and Bilophila.The pathogenesis is significantly related to carbohydrate and energy metabolism pathways.