» Articles » PMID: 21455690

Applications of Urinary Proteomics in Biomarker Discovery

Overview
Specialties Biology
Science
Date 2011 Apr 2
PMID 21455690
Citations 17
Authors
Affiliations
Soon will be listed here.
Abstract

Urine is an important source of biomarkers. This article reviews current advances, major challenges, and future prospects in the field of urinary proteomics. Because the practical clinical problem is to distinguish diseases with similar symptoms, merely comparing samples from patients of a particular disease to those of healthy individuals is inadequate for finding biomarkers with sufficient diagnostic power. In addition, the variation of expression levels of urinary proteins among healthy individuals and individuals under different physiological conditions adds to the difficulty in identifying biomarkers. We propose that establishing the natural variation in urinary protein expression among a healthy population can serve as a reference to help identify protein abundance changes that are caused by disease, not by individual variations or physiological changes. We also discuss that comparing protein expression levels between urine and plasma may reveal the physiological function of the kidney and that may facilitate biomarker discovery. Finally, we propose that establishing a data-sharing platform for data collection and integrating results from all urinary biomarker studies will help promote the development of urinary proteomics.

Citing Articles

Proteomic Analysis Identifies Dysregulated Proteins in Albuminuria: A South African Pilot Study.

Khoza S, George J, Naicker P, Stoychev S, Fabian J, Govender I Biology (Basel). 2024; 13(9).

PMID: 39336107 PMC: 11428484. DOI: 10.3390/biology13090680.


Application of urine proteomics in the diagnosis and treatment effectiveness monitoring of early-stage Mycosis Fungoides.

Song H, Hu Z, Zhang S, Yang L, Feng J, Lu L Clin Proteomics. 2024; 21(1):53.

PMID: 39138419 PMC: 11321143. DOI: 10.1186/s12014-024-09503-7.


Molecular Pathways of Diabetic Kidney Disease Inferred from Proteomics.

Wei L, Han Y, Tu C Diabetes Metab Syndr Obes. 2023; 16:117-128.

PMID: 36760602 PMC: 9842482. DOI: 10.2147/DMSO.S392888.


Urinary Biomarkers for the Noninvasive Detection of Gastric Cancer.

Li D, Yan L, Lin F, Yuan X, Yang X, Yang X J Gastric Cancer. 2022; 22(4):306-318.

PMID: 36316107 PMC: 9633929. DOI: 10.5230/jgc.2022.22.e28.


Urinary Proteomics Analysis of Active Vitiligo Patients: Biomarkers for Steroid Treatment Efficacy Prediction and Monitoring.

Qian Y, Liu X, Sun H, Xu J, Sun J, Liu W Front Mol Biosci. 2022; 9:761562.

PMID: 35252347 PMC: 8891126. DOI: 10.3389/fmolb.2022.761562.