Literature DB >> 18277143

Biomarkers in acute and chronic kidney disease.

Thomas L Nickolas1, Jonathan Barasch, Prasad Devarajan.   

Abstract

PURPOSE OF REVIEW: The paucity of early, predictive, noninvasive biomarkers has impaired our ability to institute potentially effective therapies for acute kidney injury and chronic kidney disease in a timely manner. RECENT
FINDINGS: Promising novel biomarkers for acute kidney injury include a plasma panel (neutrophil gelatinase-associated lipocalin and cystatin C) and a urine panel (neutrophil gelatinase-associated lipocalin, interleukin-18, and kidney injury molecule-1). For chronic kidney disease, these include a similar plasma panel and a urine panel (neutrophil gelatinase-associated lipocalin, asymetric dimethylarginine, and liver-type fatty acid-binding protein). The biomarker panels will probably be useful for assessing the duration and severity of kidney disease, and for predicting progression and adverse clinical outcomes. It is also likely that the biomarker panels will help to distinguish between the various etiologies of acute kidney injury or chronic kidney disease.
SUMMARY: The tools of functional genomics and proteomics have provided us with promising novel biomarkers for acute kidney injury and chronic kidney disease. It will be important in future studies to validate the sensitivity and specificity of these biomarker panels in clinical samples from large cohorts and in multiple clinical situations. Such studies will be facilitated by the availability of commercial tools for reproducible measurement of these panels.

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Year:  2008        PMID: 18277143     DOI: 10.1097/MNH.0b013e3282f4e525

Source DB:  PubMed          Journal:  Curr Opin Nephrol Hypertens        ISSN: 1062-4821            Impact factor:   2.894


  64 in total

1.  Lipocalin 2 is essential for chronic kidney disease progression in mice and humans.

Authors:  Amandine Viau; Khalil El Karoui; Denise Laouari; Martine Burtin; Clément Nguyen; Kiyoshi Mori; Evangéline Pillebout; Thorsten Berger; Tak Wah Mak; Bertrand Knebelmann; Gérard Friedlander; Jonathan Barasch; Fabiola Terzi
Journal:  J Clin Invest       Date:  2010-11       Impact factor: 14.808

Review 2.  Assessment of kidney organ quality and prediction of outcome at time of transplantation.

Authors:  Thomas F Mueller; Kim Solez; Valeria Mas
Journal:  Semin Immunopathol       Date:  2011-01-28       Impact factor: 9.623

Review 3.  Proteomic analysis of acute kidney injury: biomarkers to mechanisms.

Authors:  Michael R Bennett; Prasad Devarajan
Journal:  Proteomics Clin Appl       Date:  2010-12-06       Impact factor: 3.494

Review 4.  The use of targeted biomarkers for chronic kidney disease.

Authors:  Prasad Devarajan
Journal:  Adv Chronic Kidney Dis       Date:  2010-11       Impact factor: 3.620

5.  Public health surveillance of CKD: principles, steps, and challenges.

Authors:  Neil R Powe; Laura Plantinga; Rajiv Saran
Journal:  Am J Kidney Dis       Date:  2009-03       Impact factor: 8.860

Review 6.  Screening for chronic kidney disease in HIV-infected patients.

Authors:  Michelle M Estrella; Derek M Fine
Journal:  Adv Chronic Kidney Dis       Date:  2010-01       Impact factor: 3.620

7.  Tubular expression of KIM-1 does not predict delayed function after transplantation.

Authors:  Bernd Schröppel; Bernd Krüger; Liron Walsh; Melissa Yeung; Shay Harris; Krista Garrison; Jonathan Himmelfarb; Susan M Lerner; Jonathan S Bromberg; Ping L Zhang; Joseph V Bonventre; Zhu Wang; Alton B Farris; Robert B Colvin; Barbara T Murphy; John P Vella
Journal:  J Am Soc Nephrol       Date:  2009-12-17       Impact factor: 10.121

8.  eGFR: is it ready for early identification of CKD?

Authors:  Michal L Melamed; Carolyn Bauer; Thomas H Hostetter
Journal:  Clin J Am Soc Nephrol       Date:  2008-07-30       Impact factor: 8.237

Review 9.  Progression from acute kidney injury to chronic kidney disease: a pediatric perspective.

Authors:  Stuart L Goldstein; Prasad Devarajan
Journal:  Adv Chronic Kidney Dis       Date:  2008-07       Impact factor: 3.620

10.  A pilot metabolic profiling study in serum of patients with chronic kidney disease based on (1) H-NMR-spectroscopy.

Authors:  Suwen Qi; Xin Ouyang; Linqian Wang; Wujian Peng; Jinli Wen; Yong Dai
Journal:  Clin Transl Sci       Date:  2012-08-07       Impact factor: 4.689

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