Serum integrative omics reveals the landscape of human diabetic kidney disease

Serum integrative omics reveals the landscape of human diabetic kidney disease

Objective: Diabetic kidney disease (DKD) is the most common microvascular complication of type 2 diabetes mellitus (2-DM). Currently, urine and kidney biopsy specimens are the major clinical resources for DKD diagnosis. Our study proposes to evaluate the diagnostic value of blood in monitoring the o...

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Bibliographic Details
Main Authors: Shijia Liu, Yuan Gui, Mark S. Wang, Lu Zhang, Tingting Xu, Yuchen Pan, Ke Zhang, Ying Yu, Liangxiang Xiao, Yi Qiao, Christopher Bonin, Geneva Hargis, Tao Huan, Yanbao Yu, Jianling Tao, Rong Zhang, Donald L. Kreutzer, Yanjiao Zhou, Xiao-Jun Tian, Yanlin Wang, Haiyan Fu, Xiaofei An, Silvia Liu, Dong Zhou
Format: article
Language:EN
Published: Elsevier 2021
Subjects:
Diabetic kidney disease
Type 2 diabetes mellitus
Serum
Proteomics
Metabolomics
Machine learning
Internal medicine
RC31-1245
Online Access:https://doaj.org/article/5c92b2d350eb4b5a838c01e88d8ffde6
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https://doaj.org/article/5c92b2d350eb4b5a838c01e88d8ffde6

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