Insights into predicting diabetic nephropathy using urinary biomarkers.


Journal

Biochimica et biophysica acta. Proteins and proteomics
ISSN: 1878-1454
Titre abrégé: Biochim Biophys Acta Proteins Proteom
Pays: Netherlands
ID NLM: 101731734

Informations de publication

Date de publication:
10 2020
Historique:
received: 29 02 2020
revised: 27 05 2020
accepted: 14 06 2020
pubmed: 24 6 2020
medline: 15 12 2020
entrez: 24 6 2020
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 32574766
pii: S1570-9639(20)30122-9
doi: 10.1016/j.bbapap.2020.140475
pii:
doi:

Substances chimiques

Biomarkers 0
Inflammation Mediators 0
Peptides 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

140475

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None.

Auteurs

Naseer Ullah Khan (NU)

College of Life Science and Oceanography, Shenzhen University, Shenzhen 518060, PR China.

Jing Lin (J)

College of Life Science and Oceanography, Shenzhen University, Shenzhen 518060, PR China.

Xukun Liu (X)

College of Life Science and Oceanography, Shenzhen University, Shenzhen 518060, PR China.

Haiying Li (H)

Department of Endocrinology, Guiyang First People's Hospital, Guiyang 550002, Guizhou, PR China.

Wei Lu (W)

Department of Endocrinology, Guiyang First People's Hospital, Guiyang 550002, Guizhou, PR China.

Zhuning Zhong (Z)

Department of Endocrinology, Guiyang First People's Hospital, Guiyang 550002, Guizhou, PR China.

Huajie Zhang (H)

College of Life Science and Oceanography, Shenzhen University, Shenzhen 518060, PR China.

Muhammad Waqas (M)

College of Life Science and Oceanography, Shenzhen University, Shenzhen 518060, PR China.

Liming Shen (L)

College of Life Science and Oceanography, Shenzhen University, Shenzhen 518060, PR China. Electronic address: slm@szu.edu.cn.

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Classifications MeSH