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. The diagnostic values of blood in monitoring the onset and progression of DKD have not been well explored. To fully describe the biological changes in human blood after DKD, we recruited 1,513 participants including healthy adults and patients diagnosed with 2-DM, early stage of DKD (DKD-E), and advanced stage of DKD (DKD-A) from 4 independent medical centers. The collected serums were subjected to pilot proteomics and large-scale metabolomics, respectively. By performing deep profiling of serum proteomes and metabolomes, several insights were revealed. First, the pilot proteomics revealed that the combination of alpha 2-Macroglobulin, Cathepsin D, and CD324 served as a surrogate protein biomarker in monitoring DKD progression. Second, metabolomics demonstrated that galactose metabolism and glycerolipid metabolism are the major disturbed metabolic pathways in DKD. Serum metabolite, glycerol-3-galactoside, is an independent marker in predicting DKD. Third, integrating proteomics and metabolomics increased the diagnostic and predictive stability and accuracy in distinguishing DKD status. Our study provides a rich and open-access data resource to shed light on optimizing the management of diabetes.
[doi:10.25345/C52818]
[dataset license: CC0 1.0 Universal (CC0 1.0)]
Keywords: Proteomics ; Serum ; Metabolomics ; Diabetic Kidney
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Dong Zhou, University of Connecticut, School of Medicine, United States |
Submitting User: | yayu |
Liu S, Gui Y, Wang MS, Zhang L, Xu T, Pan Y, Zhang K, Yu Y, Xiao L, Qiao Y, Bonin C, Hargis G, Huan T, Yu Y, Tao J, Zhang R, Kreutzer DL, Zhou Y, Tian XJ, Wang Y, Fu H, An X, Liu S, Zhou D.
Serum integrative omics reveals the landscape of human diabetic kidney disease.
Mol Metab. Epub 2021 11 01.
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