TY - JOUR
T1 - Identification of a urine metabolomic signature in patients with advanced-stage chronic kidney disease
AU - Posada-Ayala, Maria
AU - Zubiri, Irene
AU - Martin-Lorenzo, Marta
AU - Sanz-Maroto, Aroa
AU - Molero, Dolores
AU - Gonzalez-Calero, Laura
AU - Fernandez-Fernandez, Beatriz
AU - de la Cuesta, Fernando
AU - Laborde, Carlos M
AU - Barderas, Maria G
AU - Ortiz, Alberto
AU - Vivanco, Fernando
AU - Alvarez-Llamas, Gloria
PY - 2014/1
Y1 - 2014/1
N2 - 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.
AB - 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.
KW - Adult
KW - Aged
KW - Aged, 80 and over
KW - Biomarkers
KW - Case-Control Studies
KW - Cohort Studies
KW - Female
KW - Humans
KW - Kidney Failure, Chronic
KW - Male
KW - Mass Spectrometry
KW - Metabolome
KW - Middle Aged
U2 - 10.1038/ki.2013.328
DO - 10.1038/ki.2013.328
M3 - Article
C2 - 24048377
VL - 85
SP - 103
EP - 111
JO - Kidney International
JF - Kidney International
SN - 0085-2538
IS - 1
ER -