Literature DB >> 21697815

Biomarkers in chronic kidney disease: a review.

Robert G Fassett1, Sree K Venuthurupalli, Glenda C Gobe, Jeff S Coombes, Matthew A Cooper, Wendy E Hoy.   

Abstract

Chronic kidney disease (CKD) is a major public health problem. The classification of CKD by KDOQI and KDIGO and the routine eGFR reporting have resulted in increased identification of CKD. It is important to be able to identify those at high risk of CKD progression and its associated cardiovascular disease (CVD). Proteinuria is the most sensitive marker of CKD progression in clinical practice, especially when combined with eGFR, but these have limitations. Hence, early, more sensitive, biomarkers are required. Recently, promising biomarkers have been identified for CKD progression and its associated CVD morbidity and mortality. These may be more sensitive biomarkers of kidney function, the underlying pathophysiological processes, and/or cardiovascular risk. Although there are some common pathways to CKD progression, there are many primary causes, each with its own specific pathophysiological mechanism. Hence, a panel measuring multiple biomarkers including disease-specific biomarkers may be required. Large, longitudinal observational studies are needed to validate candidate biomarkers in a broad range of populations prior to implementation into routine CKD management. Recent renal biomarkers discovered include neutrophil gelatinase-associated lipocalin, kidney injury molecule-1, and liver-type fatty acid-binding protein. Although none are ready for use in clinical practice, it is timely to review the role of such biomarkers in predicting CKD progression and/or CVD risk in CKD.

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Year:  2011        PMID: 21697815     DOI: 10.1038/ki.2011.198

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  120 in total

Review 1.  Sleep disturbances as nontraditional risk factors for development and progression of CKD: review of the evidence.

Authors:  Nicolas F Turek; Ana C Ricardo; James P Lash
Journal:  Am J Kidney Dis       Date:  2012-06-21       Impact factor: 8.860

Review 2.  MicroRNAs in diabetic nephropathy: functions, biomarkers, and therapeutic targets.

Authors:  Mitsuo Kato; Rama Natarajan
Journal:  Ann N Y Acad Sci       Date:  2015-04-15       Impact factor: 5.691

Review 3.  Established and emerging markers of kidney function.

Authors:  Michael A Ferguson; Sushrut S Waikar
Journal:  Clin Chem       Date:  2012-02-06       Impact factor: 8.327

Review 4.  Proteomic biomarkers in kidney disease: issues in development and implementation.

Authors:  Harald Mischak; Christian Delles; Antonia Vlahou; Raymond Vanholder
Journal:  Nat Rev Nephrol       Date:  2015-02-03       Impact factor: 28.314

5.  Salvianolic acid A attenuates kidney injury and inflammation by inhibiting NF-κB and p38 MAPK signaling pathways in 5/6 nephrectomized rats.

Authors:  Hong-Feng Zhang; Yan-Li Wang; Cheng Gao; Yan-Ting Gu; Jian Huang; Jin-Hui Wang; Jia-Hong Wang; Zhou Zhang
Journal:  Acta Pharmacol Sin       Date:  2018-05-23       Impact factor: 6.150

6.  Ambient Melamine Exposure and Urinary Biomarkers of Early Renal Injury.

Authors:  Chia-Fang Wu; Chiung-Yu Peng; Chia-Chu Liu; Wen-Yi Lin; Chih-Hong Pan; Ching-Mei Cheng; Hui-Min Hsieh; Tusty-Jiuan Hsieh; Bai-Hsiun Chen; Ming-Tsang Wu
Journal:  J Am Soc Nephrol       Date:  2015-06-04       Impact factor: 10.121

7.  Comparison between the effects of hydrochlorothiazide and indapamide on the kidney in hypertensive patients inadequately controlled with losartan.

Authors:  S Wang; J Li; X Zhou; K Liu; X Zhang; Q Meng; R Shi; D Shi; X Chen
Journal:  J Hum Hypertens       Date:  2017-07-13       Impact factor: 3.012

8.  Can the Urinary Peptidome Outperform Creatinine and Albumin to Predict Renal Function Decline?

Authors:  Michael L Merchant
Journal:  J Am Soc Nephrol       Date:  2015-01-14       Impact factor: 10.121

Review 9.  Epigenetics and epigenomics in diabetic kidney disease and metabolic memory.

Authors:  Mitsuo Kato; Rama Natarajan
Journal:  Nat Rev Nephrol       Date:  2019-06       Impact factor: 28.314

Review 10.  Biomarkers in nephrology: Core Curriculum 2013.

Authors:  Gearoid M McMahon; Sushrut S Waikar
Journal:  Am J Kidney Dis       Date:  2013-02-27       Impact factor: 8.860

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