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7/22/2016 5:43:00 PM | Browse: 922 | Download: 1653
Publication Name World Journal of Diabetes
Manuscript ID 26072
Country Taiwan
Received
2016-03-28 13:59
Peer-Review Started
2016-03-28 14:46
To Make the First Decision
2016-05-16 10:51
Return for Revision
2016-05-16 17:32
Revised
2016-05-29 11:27
Second Decision
2016-06-12 10:21
Accepted by Journal Editor-in-Chief
2016-06-14 14:07
Accepted by Company Editor-in-Chief
2016-06-29 09:43
Articles in Press
2016-06-29 09:43
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2016-07-19 10:07
Publish the Manuscript Online
2016-07-22 17:43
ISSN 1948-9358 (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/
Copyright © The Author(s) 2016. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Endocrinology & Metabolism
Manuscript Type Review
Article Title Early detection of diabetic kidney disease: Present limitations and future perspectives
Manuscript Source Invited Manuscript
All Author List Chih-Hung Lin, Yi-Cheng Chang and Lee-Ming Chuang
Funding Agency and Grant Number
Corresponding Author Dr. Lee-Ming Chuang, MD, PhD, Depart­ment of Internal Medicine, National Taiwan University Hospital, 7, Chung Shan S. Rd, Taipei 100, Taiwan. leeming@ntu.edu.tw
Key Words Diabetic kidney disease; Early diagnosis; Genomics; Biomarkers
Core Tip Estimated glomerular filtration rate (eGFR) and albuminuria are currently the standard method for detecting diabetic kidney disease (DKD). Creatinine-based GFR estimates are affected by muscle mass and diet pattern, as well as the formula chosen. Albuminuria majorly reflects glomerular dysfunction, and is less sen-sitive to tubulointerstitial and vascular damages. These facts limit the application of eGFR and albuminuria in the early diagnosis of DKD, especially in heterogeneous type 2 diabetic patients. Through the assistance of genetic information for screening of susceptible patients, together with novel biomarkers to reflect diverse renal tissue damage, early diagnosis of DKD could be faci-litated.
Publish Date 2016-07-22 17:43
Citation Lin CH, Chang YC, Chuang LM. Early detection of diabetic kidney disease: Present limitations and future perspectives. World J Diabetes 2016; 7(14): 290-301
URL http://www.wjgnet.com/1948-9358/full/v7/i14/290.htm
DOI http://dx.doi.org/10.4239/wjd.v7.i14.290
Full Article (PDF) WJD-7-290.pdf
Full Article (Word) WJD-7-290.doc
Manuscript File 26072-Review.docx
Answering Reviewers 26072-Answering reviewers.pdf
Audio Core Tip 26072-Audio core tip.wav
Conflict-of-Interest Disclosure Form 26072-Conflict-of-interest statement.pdf
Copyright License Agreement 26072-Copyright assignment.pdf
Non-Native Speakers of English Editing Certificate 26072-Language certificate.pdf
Peer-review Report 26072-Peer-review(s).pdf
Journal Editor-in-Chief Review Report 26072-Journal editor-in-chief review report.pdf
Scientific Misconduct Check 26072-Scientific misconduct check.pdf
Scientific Editor Work List 26072-Scientific editor work list.pdf