Review
Copyright ©The Author(s) 2015. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Nephrol. Feb 6, 2015; 4(1): 57-73
Published online Feb 6, 2015. doi: 10.5527/wjn.v4.i1.57
Biomarkers in chronic kidney disease, from kidney function to kidney damage
Salvador Lopez-Giacoman, Magdalena Madero
Salvador Lopez-Giacoman, Magdalena Madero, Division of Nephrology, National Heart Institute, 14000 México City, México
Author contributions: All authors contributed to this work.
Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Correspondence to: Magdalena Madero, MD, Division of Nephrology, National Heart Institute, Juan Badiano No. 1, Tlalpan, D.F., 14000 México City, México. madero.magdalena@gmail.com
Telephone: +52-55-55736902 Fax: +52-55-55737716
Received: July 30, 2014
Peer-review started: July 30, 2014
First decision: September 16, 2014
Revised: October 28, 2014
Accepted: November 7, 2014
Article in press: November 10, 2014
Published online: February 6, 2015
Core Tip

Core tip: Until more accurate equations are developed the chronic kidney disease (CKD) epidemiology collaboration appears to be superior to other glomerular filtration rate (GFR) estimating equations. In circumstances where CKD requires confirmation estimated GFR based on the combined creatinine-cystatin C equation is recommended. The recent advances in molecular biology have resulted in promising biomarkers for CKD detection and prognosis; however more research is needed before applying them into clinical practice.