Identification of serum biomarkers for chronic kidney disease using serum metabolomics

This study aimed to identify biomarkers for chronic kidney disease (CKD) by studying serum metabolomics. Serum samples were collected from 194 non-dialysis CKD patients and 317 healthy controls (HC). Using ultra-high-performance liquid chromatography-tandem mass spectrometry (UPLC-MS), untargeted me...

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Bibliographic Details

Published in:	Renal Failure
Main Authors:	Xi Gu, Yindi Dong, Xuemei Wang, Zhigang Ren, Guanhua Li, Yaxin Hao, Jian Wu, Shiyuan Guo, Yajuan Fan, Hongyan Ren, Chao Liu, Suying Ding, Weikang Li, Ge Wu, Zhangsuo Liu
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2024-12-01
Subjects:	Chronic kidney disease serum metabolomics metabolic pathways biomarkers gut microbiome
Online Access:	https://www.tandfonline.com/doi/10.1080/0886022X.2024.2409346