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Insights into predicting diabetic nephropathy using urinary biomarkers

Authors :
Huajie Zhang
Naseer Ullah Khan
Wei Lu
Zhuning Zhong
Liming Shen
Xukun Liu
Muhammad Waqas
Jing Lin
Haiying Li
Source :
Biochimica et biophysica acta. Proteins and proteomics. 1868(10)
Publication Year :
2020

Abstract

Diabetic nephropathy (DN) is a serious complication of diabetes caused by changes in the structure and function of the kidneys. It is important to detect diagnostic biomarkers of DN at an early stage, in which the drug can slow the loss of kidney function and prevent disease progression. In recent years, a variety of biological markers related to DN have been discovered, which is of great significance for predicting the occurrence and development of diseases. Due to the simplicity of non-invasive collection, urine is an ideal biological sample for the discovery of new biomarkers of kidney disease. We reviewed some new urinary biomarkers related to early DN patients, including urinary proteins, peptides, and exosomes biomarkers. We also highlight the proteins associated with tubular damage, glomerular damage, inflammation and oxidative stress marker. Despite the promise of these new urinary biomarkers, we next proposed a review of the most recent publications reporting on larger cohorts, focusing on those that aim at qualification or validation. This review provides important data to better understand biomarkers related to the pathophysiology of DN, and these markers have been increasingly studied for disease progression to provide effective human treatment.

Details

ISSN :
18781454
Volume :
1868
Issue :
10
Database :
OpenAIRE
Journal :
Biochimica et biophysica acta. Proteins and proteomics
Accession number :
edsair.doi.dedup.....4ce920ce1e46663673484d222714eb8f