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

Maria Posada-Ayala, Irene Zubiri, Marta Martin-Lorenzo, Aroa Sanz-Maroto, Dolores Molero, Laura Gonzalez-Calero, Beatriz Fernandez-Fernandez, Fernando de la Cuesta, Carlos M Laborde, Maria G Barderas, Alberto Ortiz, Fernando Vivanco, Gloria Alvarez-Llamas

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

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.

Original languageEnglish
Pages (from-to)103-11
Number of pages9
JournalKidney International
Volume85
Issue number1
DOIs
Publication statusPublished - Jan 2014

Keywords / Materials (for Non-textual outputs)

  • Adult
  • Aged
  • Aged, 80 and over
  • Biomarkers
  • Case-Control Studies
  • Cohort Studies
  • Female
  • Humans
  • Kidney Failure, Chronic
  • Male
  • Mass Spectrometry
  • Metabolome
  • Middle Aged

Fingerprint

Dive into the research topics of 'Identification of a urine metabolomic signature in patients with advanced-stage chronic kidney disease'. Together they form a unique fingerprint.

Cite this