Literature DB >> 21913962

Validity of biomarkers predicting onset or progression of nephropathy in patients with Type 2 diabetes: a systematic review.

M E Hellemons1, J Kerschbaum, S J L Bakker, H Neuwirt, B Mayer, G Mayer, D de Zeeuw, H J Lambers Heerspink, M Rudnicki.   

Abstract

Novel biomarkers predicting onset or progression of nephropathy in patients with Type 2 diabetes have been recently identified. We performed a systematic review to assess the validity of biomarkers predicting onset or progression of nephropathy in patients with Type 2 diabetes in longitudinal studies. The methodological quality of the studies was scored using Standards for Reporting of Diagnostic Accuracy (STARD) criteria and the independent predictive value of the biomarkers beyond conventional risk factors was scored according to the adjustment for these risk factors. Validity of the biomarkers was determined by summarizing the methodological quality and the adjustment score. We identified 15 studies describing 27 biomarkers. Six studies had sufficient methodological quality. These studies identified 13 valid and significant markers for nephropathy in diabetes: serum interleukin 18, plasma asymmetric dimethylarginine; and urinary ceruloplasmin, immunoglobulin G and transferrin were considered valid markers predicting onset of nephropathy. Plasma asymmetric dimethylarginine, vascular cell adhesion molecule 1, interleukin 6, von Willebrand factor and intercellular cell adhesion molecule 1 were considered valid biomarkers predicting progression of nephropathy. Plasma high-sensitivity C-reactive protein, E-selectin, tissue-type plasminogen activator, von Willebrand factor and triglycerides were considered valid markers predicting onset and progression of nephropathy. Several novel biomarkers for prediction of nephropathy in diabetes have been published, which can potentially be applied in clinical practice and research in future. Because of the heterogeneous quality of biomarker studies in this field, a more rigorous evaluation of these biomarkers and validation in larger trials are advocated.
© 2011 The Authors. Diabetic Medicine © 2011 Diabetes UK.

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Year:  2012        PMID: 21913962     DOI: 10.1111/j.1464-5491.2011.03437.x

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  25 in total

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4.  Transcriptome-wide RNA sequencing analysis of rat skeletal muscle feed arteries. I. Impact of obesity.

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Journal:  J Appl Physiol (1985)       Date:  2014-01-16

5.  A urinary peptide biomarker set predicts worsening of albuminuria in type 2 diabetes mellitus.

Authors:  S S Roscioni; D de Zeeuw; M E Hellemons; H Mischak; P Zürbig; S J L Bakker; R T Gansevoort; H Reinhard; F Persson; M Lajer; P Rossing; H J Lambers Heerspink
Journal:  Diabetologia       Date:  2012-10-20       Impact factor: 10.122

6.  AMPK dysregulation promotes diabetes-related reduction of superoxide and mitochondrial function.

Authors:  Laura L Dugan; Young-Hyun You; Sameh S Ali; Maggie Diamond-Stanic; Satoshi Miyamoto; Anne-Emilie DeCleves; Aleksander Andreyev; Tammy Quach; San Ly; Grigory Shekhtman; William Nguyen; Andre Chepetan; Thuy P Le; Lin Wang; Ming Xu; Kacie P Paik; Agnes Fogo; Benoit Viollet; Anne Murphy; Frank Brosius; Robert K Naviaux; Kumar Sharma
Journal:  J Clin Invest       Date:  2013-10-25       Impact factor: 14.808

7.  The impact of type 2 diabetes on the outcome of localized renal cell carcinoma.

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8.  Growth-differentiation factor 15 predicts worsening of albuminuria in patients with type 2 diabetes.

Authors:  Merel E Hellemons; Magdalena Mazagova; Ron T Gansevoort; Robert H Henning; Dick de Zeeuw; Stephan J L Bakker; Hiddo J Lambers-Heerspink; Leo E Deelman
Journal:  Diabetes Care       Date:  2012-07-18       Impact factor: 19.112

9.  Urinary markers of glomerular injury in diabetic nephropathy.

Authors:  Abraham Cohen-Bucay; Gautham Viswanathan
Journal:  Int J Nephrol       Date:  2012-05-08

10.  Association of intercellular adhesion molecule 1 (ICAM1) with diabetes and diabetic nephropathy.

Authors:  Harvest F Gu; Jun Ma; Karolin T Gu; Kerstin Brismar
Journal:  Front Endocrinol (Lausanne)       Date:  2013-01-22       Impact factor: 5.555

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