Diabetes, Metabolic Syndrome and Obesity (Jan 2023)
Molecular Pathways of Diabetic Kidney Disease Inferred from Proteomics
Abstract
Lan Wei,1 Yuanyuan Han,2 Chao Tu1 1Department of Internal Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, People’s Republic of China; 2Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Diseases, Kunming, People’s Republic of ChinaCorrespondence: Chao Tu, Department of Internal Medicine, The Third Affiliated Hospital of Soochow University, 185 Juqian Road, Changzhou, 213000, People’s Republic of China, Email [email protected]: Diabetic kidney disease (DKD) affects an estimated 20– 40% of type 2 diabetes patients and is among the most prevalent microvascular complications in this patient population, contributing to high morbidity and mortality rates. Currently, changes in albuminuria status are thought to be a primary indicator of the onset or progression of DKD, yet progressive nephropathy and renal impairment can occur in certain diabetic individuals who exhibit normal urinary albumin levels, emphasizing the lack of sensitivity and specificity associated with the use of albuminuria as a biomarker for detecting diabetic kidney disease and predicting DKD risk. According to the study, a non-invasive method for early detection or prediction of DKD may involve combining proteomic analytical techniques such second generation sequencing, mass spectrometry, two-dimensional gel electrophoresis, and other advanced system biology algorithms. Another category of proteins of relevance may now be provided by renal tissue biomarkers. The establishment of reliable proteomic biomarkers of DKD represents a novel approach to improving the diagnosis, prognostic evaluation, and treatment of affected patients. In the present review, a series of protein biomarkers that have been characterized to date are discussed, offering a theoretical foundation for future efforts to aid patients suffering from this debilitating microvascular complication.Keywords: diabetic kidney disease, proteomics, diagnostic biomarkers, therapeutic targets
