Publication Name	World Journal of Nephrology
Manuscript ID	12971
Country	Mexico

Received	2014-07-30 19:19
Peer-Review Started	2014-07-30 21:14
To Make the First Decision	2014-09-16 10:47
Return for Revision	2014-09-18 14:20
Revised	2014-10-21 08:17
Second Decision	2014-11-10 15:46
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2014-11-10 16:08
Articles in Press	2014-11-10 16:08
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2015-01-12 16:50
Publish the Manuscript Online	2015-02-07 09:38

ISSN	2220-6124 (online)
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/
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Category	Urology & Nephrology
Manuscript Type	Review
Article Title	Biomarkers in chronic kidney disease, from kidney function to kidney damage
Manuscript Source	Invited Manuscript
All Author List	Salvador Lopez-Giacoman and Magdalena Madero
Funding Agency and Grant Number
Corresponding Author	Magdalena Madero, MD, Division of Nephrology, National Heart Institute, Juan Badiano No. 1, Tlalpan, D.F., 14000 México City, México. madero.magdalena@gmail.com
Key Words	Chronic kidney disease; Estimated glome­rular filtration rate; Kidney damage; New biomarkers; MicroRNA
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.
Publish Date	2015-02-07 09:38
Citation	Lopez-Giacoman S, Madero M. Biomarkers in chronic kidney disease, from kidney function to kidney damage. World J Nephrol 2015; 4(1): 57-73
URL	http://www.wjgnet.com/2220-6124/full/v4/i1/57.htm
DOI	http://dx.doi.org/10.5527/wjn.v4.i1.57

Full Article (PDF)	WJN-4-57.pdf
Full Article (Word)	WJN-4-57.doc
Manuscript File	12971-Review.doc
Answering Reviewers	12971-Answering reviewers.pdf
Copyright License Agreement	12971-Copyright assignment.pdf
Peer-review Report	12971-Peer review(s).pdf
Scientific Misconduct Check	12971-CrossCheck.jpg
Scientific Editor Work List	12971-Scientific editor work list.pdf