Literature DB >> 26449609

A Metabolome-Wide Association Study of Kidney Function and Disease in the General Population.

Peggy Sekula1, Oemer-Necmi Goek2, Lydia Quaye3, Clara Barrios4, Andrew S Levey5, Werner Römisch-Margl6, Cristina Menni3, Idil Yet3, Christian Gieger7, Lesley A Inker5, Jerzy Adamski8, Wolfram Gronwald9, Thomas Illig10, Katja Dettmer9, Jan Krumsiek11, Peter J Oefner9, Ana M Valdes12, Christa Meisinger13, Josef Coresh14, Tim D Spector3, Robert P Mohney15, Karsten Suhre16, Gabi Kastenmüller17, Anna Köttgen18.   

Abstract

Small molecules are extensively metabolized and cleared by the kidney. Changes in serum metabolite concentrations may result from impaired kidney function and can be used to estimate filtration (e.g., the established marker creatinine) or may precede and potentially contribute to CKD development. Here, we applied a nontargeted metabolomics approach using gas and liquid chromatography coupled to mass spectrometry to quantify 493 small molecules in human serum. The associations of these molecules with GFR estimated on the basis of creatinine (eGFRcr) and cystatin C levels were assessed in ≤1735 participants in the KORA F4 study, followed by replication in 1164 individuals in the TwinsUK registry. After correction for multiple testing, 54 replicated metabolites significantly associated with eGFRcr, and six of these showed pairwise correlation (r≥0.50) with established kidney function measures: C-mannosyltryptophan, pseudouridine, N-acetylalanine, erythronate, myo-inositol, and N-acetylcarnosine. Higher C-mannosyltryptophan, pseudouridine, and O-sulfo-L-tyrosine concentrations associated with incident CKD (eGFRcr <60 ml/min per 1.73 m(2)) in the KORA F4 study. In contrast with serum creatinine, C-mannosyltryptophan and pseudouridine concentrations showed little dependence on sex. Furthermore, correlation with measured GFR in 200 participants in the AASK study was 0.78 for both C-mannosyltryptophan and pseudouridine concentration, and highly significant associations of both metabolites with incident ESRD disappeared upon adjustment for measured GFR. Thus, these molecules may be alternative or complementary markers of kidney function. In conclusion, our study provides a comprehensive list of kidney function-associated metabolites and highlights potential novel filtration markers that may help to improve the estimation of GFR.
Copyright © 2016 by the American Society of Nephrology.

Entities:  

Keywords:  CKD; GFR; epidemiology; metabolism; outcomes

Mesh:

Year:  2015        PMID: 26449609      PMCID: PMC4814172          DOI: 10.1681/ASN.2014111099

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  56 in total

1.  Assessing kidney function--measured and estimated glomerular filtration rate.

Authors:  Lesley A Stevens; Josef Coresh; Tom Greene; Andrew S Levey
Journal:  N Engl J Med       Date:  2006-06-08       Impact factor: 91.245

2.  Comparison of measured GFR, serum creatinine, cystatin C, and beta-trace protein to predict ESRD in African Americans with hypertensive CKD.

Authors:  Nrupen A Bhavsar; Lawrence J Appel; John W Kusek; Gabriel Contreras; George Bakris; Josef Coresh; Brad C Astor
Journal:  Am J Kidney Dis       Date:  2011-09-22       Impact factor: 8.860

3.  A genome-wide association study of metabolic traits in human urine.

Authors:  Karsten Suhre; Henri Wallaschofski; Johannes Raffler; Nele Friedrich; Robin Haring; Kathrin Michael; Christina Wasner; Alexander Krebs; Florian Kronenberg; David Chang; Christa Meisinger; H-Erich Wichmann; Wolfgang Hoffmann; Henry Völzke; Uwe Völker; Alexander Teumer; Reiner Biffar; Thomas Kocher; Stephan B Felix; Thomas Illig; Heyo K Kroemer; Christian Gieger; Werner Römisch-Margl; Matthias Nauck
Journal:  Nat Genet       Date:  2011-05-15       Impact factor: 38.330

4.  Detection and purification of tyrosine-sulfated proteins using a novel anti-sulfotyrosine monoclonal antibody.

Authors:  Adam J Hoffhines; Eugen Damoc; Kristie G Bridges; Julie A Leary; Kevin L Moore
Journal:  J Biol Chem       Date:  2006-10-17       Impact factor: 5.157

Review 5.  RAGE and the pathogenesis of chronic kidney disease.

Authors:  Vivette D'Agati; Ann Marie Schmidt
Journal:  Nat Rev Nephrol       Date:  2010-04-27       Impact factor: 28.314

6.  Cystatin C versus creatinine in determining risk based on kidney function.

Authors:  Michael G Shlipak; Kunihiro Matsushita; Johan Ärnlöv; Lesley A Inker; Ronit Katz; Kevan R Polkinghorne; Dietrich Rothenbacher; Mark J Sarnak; Brad C Astor; Josef Coresh; Andrew S Levey; Ron T Gansevoort
Journal:  N Engl J Med       Date:  2013-09-05       Impact factor: 91.245

7.  Estimating glomerular filtration rate from serum creatinine and cystatin C.

Authors:  Lesley A Inker; Christopher H Schmid; Hocine Tighiouart; John H Eckfeldt; Harold I Feldman; Tom Greene; John W Kusek; Jane Manzi; Frederick Van Lente; Yaping Lucy Zhang; Josef Coresh; Andrew S Levey
Journal:  N Engl J Med       Date:  2012-07-05       Impact factor: 91.245

8.  Calibration and random variation of the serum creatinine assay as critical elements of using equations to estimate glomerular filtration rate.

Authors:  Josef Coresh; Brad C Astor; Geraldine McQuillan; John Kusek; Tom Greene; Frederick Van Lente; Andrew S Levey
Journal:  Am J Kidney Dis       Date:  2002-05       Impact factor: 8.860

9.  Are twins and singletons comparable? A study of disease-related and lifestyle characteristics in adult women.

Authors:  T Andrew; D J Hart; H Snieder; M de Lange; T D Spector; A J MacGregor
Journal:  Twin Res       Date:  2001-12

10.  Uremic solutes and risk of end-stage renal disease in type 2 diabetes: metabolomic study.

Authors:  Monika A Niewczas; Tammy L Sirich; Anna V Mathew; Jan Skupien; Robert P Mohney; James H Warram; Adam Smiles; Xiaoping Huang; Walker Walker; Jaeman Byun; Edward D Karoly; Elizabeth M Kensicki; Gerard T Berry; Joseph V Bonventre; Subramaniam Pennathur; Timothy W Meyer; Andrzej S Krolewski
Journal:  Kidney Int       Date:  2014-01-15       Impact factor: 10.612

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Journal:  Mol Ther       Date:  2017-01-28       Impact factor: 11.454

2.  Indoxyl sulfate associates with cardiovascular phenotype in children with chronic kidney disease.

Authors:  Johannes Holle; Uwe Querfeld; Marietta Kirchner; Alexandros Anninos; Jürgen Okun; Daniela Thurn-Valsassina; Aysun Bayazit; Ana Niemirska; Nur Canpolat; Ipek Kaplan Bulut; Ali Duzova; Ali Anarat; Rukshana Shroff; Yelda Bilginer; Salim Caliskan; Cengiz Candan; Jerome Harambat; Zeynep Birsin Özcakar; Oguz Soylemezoglu; Sibylle Tschumi; Sandra Habbig; Ebru Yilmaz; Ayse Balat; Aleksandra Zurowska; Nilgun Cakar; Birgitta Kranz; Pelin Ertan; Anette Melk; Karolis Azukaitis; Franz Schaefer
Journal:  Pediatr Nephrol       Date:  2019-08-19       Impact factor: 3.714

3.  1,5-Anhydroglucitol predicts CKD progression in macroalbuminuric diabetic kidney disease: results from non-targeted metabolomics.

Authors:  Gesiane Tavares; Gabriela Venturini; Kallyandra Padilha; Roberto Zatz; Alexandre C Pereira; Ravi I Thadhani; Eugene P Rhee; Silvia M O Titan
Journal:  Metabolomics       Date:  2018-02-27       Impact factor: 4.290

4.  DESI-MSI and METASPACE indicates lipid abnormalities and altered mitochondrial membrane components in diabetic renal proximal tubules.

Authors:  Guanshi Zhang; Jialing Zhang; Rachel J DeHoog; Subramaniam Pennathur; Christopher R Anderton; Manjeri A Venkatachalam; Theodore Alexandrov; Livia S Eberlin; Kumar Sharma
Journal:  Metabolomics       Date:  2020-01-10       Impact factor: 4.290

5.  Associations of Plasma Amino Acid and Acylcarnitine Profiles with Incident Reduced Glomerular Filtration Rate.

Authors:  Feijie Wang; Liang Sun; Qi Sun; Liming Liang; Xianfu Gao; Rongxia Li; An Pan; Huaixing Li; Yueyi Deng; Frank B Hu; Jiarui Wu; Rong Zeng; Xu Lin
Journal:  Clin J Am Soc Nephrol       Date:  2018-03-08       Impact factor: 8.237

6.  Metabolomics and Kidney Precision Medicine.

Authors:  Sahir Kalim; Eugene P Rhee
Journal:  Clin J Am Soc Nephrol       Date:  2017-09-28       Impact factor: 8.237

7.  Metabolomics Research in Chronic Kidney Disease.

Authors:  Morgan E Grams; Tariq Shafi; Eugene P Rhee
Journal:  J Am Soc Nephrol       Date:  2018-05-03       Impact factor: 10.121

8.  Unique metabolomic signature associated with hepatorenal dysfunction and mortality in cirrhosis.

Authors:  Ayse L Mindikoglu; Antone R Opekun; Nagireddy Putluri; Sridevi Devaraj; David Sheikh-Hamad; John M Vierling; John A Goss; Abbas Rana; Gagan K Sood; Prasun K Jalal; Lesley A Inker; Robert P Mohney; Hocine Tighiouart; Robert H Christenson; Thomas C Dowling; Matthew R Weir; Stephen L Seliger; William R Hutson; Charles D Howell; Jean-Pierre Raufman; Laurence S Magder; Cristian Coarfa
Journal:  Transl Res       Date:  2017-12-12       Impact factor: 7.012

9.  Validation of a Metabolite Panel for a More Accurate Estimation of Glomerular Filtration Rate Using Quantitative LC-MS/MS.

Authors:  Tiffany A Freed; Josef Coresh; Lesley A Inker; Douglas R Toal; Regis Perichon; Jingsha Chen; Kelli D Goodman; Qibo Zhang; Jessie K Conner; Deirdre M Hauser; Kate E T Vroom; Maria L Oyaski; Jacob E Wulff; Gudný Eiríksdóttir; Vilmundur Gudnason; Vicente E Torres; Lisa A Ford; Andrew S Levey
Journal:  Clin Chem       Date:  2019-01-15       Impact factor: 8.327

Review 10.  An overview of renal metabolomics.

Authors:  Sahir Kalim; Eugene P Rhee
Journal:  Kidney Int       Date:  2016-09-28       Impact factor: 10.612

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