Scholay

学术搜索 · AI 审稿 · LaTeX 协作

The Role of Gut Microbiota and Microbiota-Related Serum Metabolites in the Progression of Diabetic Kidney Disease

作者:Qing Zhang, Yanmei Zhang, Lu Zeng, Guowei Chen, Zhang La, La Zhang, Meifang Liu, Hongqin Sheng, Xiaoxuan Hu, Jingxu Su, Duo Zhang, Fuhua Lu, Xusheng Liu, Lei Zhang, Lei Zhang · 发表于:Frontiers in Pharmacology · 年份:2021 · DOI:10.3389/fphar.2021.757508 · 被引用次数:58 · 研究领域:Gut microbiota and health、Food Security and Health in Diverse Populations、Epigenetics and DNA Methylation

Objective: Diabetic kidney disease (DKD) has become the major cause of end-stage renal disease (ESRD) associated with the progression of renal fibrosis. As gut microbiota dysbiosis is closely related to renal damage and fibrosis, we investigated the role of gut microbiota and microbiota-related serum metabolites in DKD progression in this study. Methods: Fecal and serum samples obtained from predialysis DKD patients from January 2017 to December 2019 were detected using 16S rRNA gene sequencing and liquid chromatography-mass spectrometry, respectively. Forty-one predialysis patients were divided into two groups according to their estimated glomerular filtration rate (eGFR): the DKD non-ESRD group (eGFR ≥ 15 ml/min/1.73 m 2 ) (n = 22), and the DKD ESRD group (eGFR < 15 ml/min/1.73 m 2 ) (n = 19). The metabolic pathways related to differential serum metabolites were obtained by the KEGG pathway analysis. Differences between the two groups relative to gut microbiota profiles and serum metabolites were investigated, and associations between gut microbiota and metabolite concentrations were assessed. Correlations between clinical indicators and both microbiota-related metabolites and gut microbiota were calculated by Spearman rank correlation coefficient and visualized by heatmap. Results: Eleven different intestinal floras and 239 different serum metabolites were identified between the two groups. Of 239 serum metabolites, 192 related to the 11 different intestinal flora w...