Literature DB >> 21389975

Detection of autosomal dominant polycystic kidney disease by NMR spectroscopic fingerprinting of urine.

Wolfram Gronwald1, Matthias S Klein, Raoul Zeltner, Bernd-Detlef Schulze, Stephan W Reinhold, Markus Deutschmann, Ann-Kathrin Immervoll, Carsten A Böger, Bernhard Banas, Kai-Uwe Eckardt, Peter J Oefner.   

Abstract

Autosomal dominant polycystic kidney disease (ADPKD) is a frequent cause of kidney failure; however, urinary biomarkers for the disease are lacking. In a step towards identifying such markers, we used multidimensional-multinuclear nuclear magnetic resonance (NMR) spectroscopy with support vector machine-based classification and analyzed urine specimens of 54 patients with ADPKD and slightly reduced estimated glomerular filtration rates. Within this cohort, 35 received medication for arterial hypertension and 19 did not. The results were compared with NMR profiles of 46 healthy volunteers, 10 ADPKD patients on hemodialysis with residual renal function, 16 kidney transplant patients, and 52 type 2 diabetic patients with chronic kidney disease. Based on the average of 51 out of 701 NMR features, we could reliably discriminate ADPKD patients with moderately advanced disease from ADPKD patients with end-stage renal disease, patients with chronic kidney disease of other etiologies, and healthy probands with an accuracy of >80%. Of the 35 patients with ADPKD receiving medication for hypertension, most showed increased excretion of proteins and also methanol. In contrast, elevated urinary methanol was not found in any of the control and other patient groups. Thus, we found that NMR fingerprinting of urine differentiates ADPKD from several other kidney diseases and individuals with normal kidney function. The diagnostic and prognostic potential of these profiles requires further evaluation.

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Year:  2011        PMID: 21389975     DOI: 10.1038/ki.2011.30

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


  23 in total

1.  State-of-the art data normalization methods improve NMR-based metabolomic analysis.

Authors:  Stefanie M Kohl; Matthias S Klein; Jochen Hochrein; Peter J Oefner; Rainer Spang; Wolfram Gronwald
Journal:  Metabolomics       Date:  2011-08-12       Impact factor: 4.290

Review 2.  Systems biology of polycystic kidney disease: a critical review.

Authors:  Luis Fernando Menezes; Gregory G Germino
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2015-02-02

Review 3.  Metabolomics in pediatric nephrology: emerging concepts.

Authors:  Mina H Hanna; Patrick D Brophy
Journal:  Pediatr Nephrol       Date:  2014-07-17       Impact factor: 3.714

4.  Developing urinary metabolomic signatures as early bladder cancer diagnostic markers.

Authors:  Chong Shen; Zeyu Sun; Deying Chen; Xiaoling Su; Jing Jiang; Gonghui Li; Biaoyang Lin; Jiajun Yan
Journal:  OMICS       Date:  2015-01

Review 5.  Emerging new strategies for successful metabolite identification in metabolomics.

Authors:  Kerem Bingol; Lei Bruschweiler-Li; Dawei Li; Bo Zhang; Mouzhe Xie; Rafael Brüschweiler
Journal:  Bioanalysis       Date:  2016-02-26       Impact factor: 2.681

6.  Liquid Chromatography-Mass Spectrometry-Based Metabolomics of Nonhuman Primates after 4 Gy Total Body Radiation Exposure: Global Effects and Targeted Panels.

Authors:  Evan L Pannkuk; Evagelia C Laiakis; Kirandeep Gill; Shreyans K Jain; Khyati Y Mehta; Denise Nishita; Kim Bujold; James Bakke; Janet Gahagen; Simon Authier; Polly Chang; Albert J Fornace
Journal:  J Proteome Res       Date:  2019-03-18       Impact factor: 4.466

7.  NMR/MS Translator for the Enhanced Simultaneous Analysis of Metabolomics Mixtures by NMR Spectroscopy and Mass Spectrometry: Application to Human Urine.

Authors:  Kerem Bingol; Rafael Brüschweiler
Journal:  J Proteome Res       Date:  2015-04-30       Impact factor: 4.466

8.  Polycystic kidney disease: Urinary fingerprints unique to patients with ADPKD.

Authors:  Helene Myrvang
Journal:  Nat Rev Nephrol       Date:  2011-05       Impact factor: 28.314

9.  Genetic determinants of metabolism in health and disease: from biochemical genetics to genome-wide associations.

Authors:  Steven L Robinette; Elaine Holmes; Jeremy K Nicholson; Marc E Dumas
Journal:  Genome Med       Date:  2012-04-30       Impact factor: 11.117

10.  Study design of DIACORE (DIAbetes COhoRtE) - a cohort study of patients with diabetes mellitus type 2.

Authors:  Lena Dörhöfer; Alexander Lammert; Vera Krane; Mathias Gorski; Bernhard Banas; Christoph Wanner; Bernhard K Krämer; Iris M Heid; Carsten A Böger
Journal:  BMC Med Genet       Date:  2013-02-14       Impact factor: 2.103

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