Literature DB >> 24048377

Identification of a urine metabolomic signature in patients with advanced-stage chronic kidney disease.

Maria Posada-Ayala1, Irene Zubiri1, Marta Martin-Lorenzo1, Aroa Sanz-Maroto1, Dolores Molero2, Laura Gonzalez-Calero1, Beatriz Fernandez-Fernandez3, Fernando de la Cuesta4, Carlos M Laborde4, Maria G Barderas4, Alberto Ortiz3, Fernando Vivanco5, Gloria Alvarez-Llamas1.   

Abstract

The prevalence of chronic kidney disease (CKD) is increasing and frequently progresses to end-stage renal disease. There is an urgent demand to discover novel markers of disease that allow monitoring disease progression and, eventually, response to treatment. To identify such markers, and as a proof of principle, we determined if a metabolite signature corresponding to CKD can be found in urine. In the discovery stage, we analyzed the urine metabolome by NMR of 15 patients with CKD and compared that with the metabolome of 15 healthy individuals and found a classification pattern clearly indicative of CKD. A validation cohort of urine samples from an additional 16 patients with CKD and 15 controls was then analyzed by (Selected Reaction Monitoring) liquid chromatography-triple quadrupole mass spectrometry and indicated that a group of seven urinary metabolites differed between CKD and non-CKD urine samples. This profile consisted of 5-oxoproline, glutamate, guanidoacetate, α-phenylacetylglutamine, taurine, citrate, and trimethylamine N-oxide. Thus, we identified a panel of urine metabolites differentially present in urine that may help identify and monitor patients with CKD.

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Year:  2013        PMID: 24048377     DOI: 10.1038/ki.2013.328

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


  49 in total

1.  Furosemide/Fludrocortisone Test and Clinical Parameters to Diagnose Incomplete Distal Renal Tubular Acidosis in Kidney Stone Formers.

Authors:  Nasser A Dhayat; Michael W Gradwell; Ganesh Pathare; Manuel Anderegg; Lisa Schneider; David Luethi; Cedric Mattmann; Orson W Moe; Bruno Vogt; Daniel G Fuster
Journal:  Clin J Am Soc Nephrol       Date:  2017-08-03       Impact factor: 8.237

2.  Tissue, urine and blood metabolite signatures of chronic kidney disease in the 5/6 nephrectomy rat model.

Authors:  Munsoor A Hanifa; Martin Skott; Raluca G Maltesen; Bodil S Rasmussen; Søren Nielsen; Jørgen Frøkiær; Troels Ring; Reinhard Wimmer
Journal:  Metabolomics       Date:  2019-08-17       Impact factor: 4.290

Review 3.  The systemic nature of CKD.

Authors:  Carmine Zoccali; Raymond Vanholder; Ziad A Massy; Alberto Ortiz; Pantelis Sarafidis; Friedo W Dekker; Danilo Fliser; Denis Fouque; Gunnar H Heine; Kitty J Jager; Mehmet Kanbay; Francesca Mallamaci; Gianfranco Parati; Patrick Rossignol; Andrzej Wiecek; Gerard London
Journal:  Nat Rev Nephrol       Date:  2017-04-24       Impact factor: 28.314

4.  Renal function is associated with plasma trimethylamine-N-oxide, choline, L-carnitine and betaine: a pilot study.

Authors:  Fei Guo; Qing Dai; Xiangchang Zeng; Yan Liu; Zhirong Tan; Hao Zhang; Dongsheng Ouyang
Journal:  Int Urol Nephrol       Date:  2020-09-18       Impact factor: 2.370

Review 5.  Metabonomic biomarkers for risk factors of chronic kidney disease.

Authors:  Libing Ye; Wei Mao
Journal:  Int Urol Nephrol       Date:  2016-02-20       Impact factor: 2.370

Review 6.  Contributions of immunoaffinity chromatography to deep proteome profiling of human biofluids.

Authors:  Chaochao Wu; Jicheng Duan; Tao Liu; Richard D Smith; Wei-Jun Qian
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2016-01-12       Impact factor: 3.205

Review 7.  Metabolomics and renal disease.

Authors:  Eugene P Rhee
Journal:  Curr Opin Nephrol Hypertens       Date:  2015-07       Impact factor: 2.894

8.  Predictors of Incident ESRD among Patients with Primary Hyperoxaluria Presenting Prior to Kidney Failure.

Authors:  Fang Zhao; Eric J Bergstralh; Ramila A Mehta; Lisa E Vaughan; Julie B Olson; Barbara M Seide; Alicia M Meek; Andrea G Cogal; John C Lieske; Dawn S Milliner
Journal:  Clin J Am Soc Nephrol       Date:  2015-12-10       Impact factor: 8.237

9.  Metabolic Profiling of Impaired Cognitive Function in Patients Receiving Dialysis.

Authors:  Manjula Kurella Tamura; Glenn M Chertow; Thomas A Depner; Allen R Nissenson; Brigitte Schiller; Ravindra L Mehta; Sai Liu; Tammy L Sirich
Journal:  J Am Soc Nephrol       Date:  2016-07-21       Impact factor: 10.121

Review 10.  Combination use of medicines from two classes of renin-angiotensin system blocking agents: risk of hyperkalemia, hypotension, and impaired renal function.

Authors:  Raquel Esteras; Maria Vanessa Perez-Gomez; Laura Rodriguez-Osorio; Alberto Ortiz; Beatriz Fernandez-Fernandez
Journal:  Ther Adv Drug Saf       Date:  2015-08
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