Identification of novel serum metabolic signatures to predict chronic kidney disease among Chinese elders using UPLC-Orbitrap-MS

• Main Authors: Yan Liu (Author), Mingyao Sun (Author), Jianqin Sun (Author), Fan Lin (Author), Danfeng Xu (Author), Yanqiu Chen (Author), Wei Song (Author), Qifei Li (Author), Yuanrong Jiang (Author), Jie Gu (Author), Shengqi Li (Author), Lili Gu (Author), Xinyao Zhu (Author), Jiaxin Fang (Author), Min Chen (Author), Wei Chen (Author)
• Format: Book
• Published: Elsevier, 2024-03-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Background: Chronic kidney disease (CKD) is a major public health concern. However, validated and broadly applicable biomarkers for early CKD diagnosis are currently not available. We aimed to identify serum metabolic signatures at an early stage of CKD to provide a reference for future investigatio...