metabolomic; biomarkers; chronic kidney disease; ageing; renal function
Dhayat Nasser A, Pruijm Menno, Ponte Belen, Ackermann Daniel, Leichtle Alexander Benedikt, Devuyst Olivier, Ehret Georg, Guessous Idris, Pechère-Bertschi Antoinette, Pastor Johanne, Martin Pierre-Yves, Burnier Michel, Fiedler Georg-Martin, Vogt Bruno, Moe Orson W, Bochud Murielle, Fuster Daniel G (2019), Parathyroid hormone and plasma phosphate are predictors of soluble α-klotho levels in adults of European descent, in The Journal of Clinical Endocrinology & Metabolism
Ponte Belen, Pruijm Menno, Pasch Andreas, Dufey-Teso Anne, Martin Pierre-Yves, de Seigneux Sophie (2019), Dialysis initiation improves calcification propensity, in Nephrology Dialysis Transplantation
(2019), Renal Resistive Index Is Associated With Inactive Matrix Gla (γ-Carboxyglutamate) Protein in an Adult Population-Based Study., in Journal of American Heart Association
GagnebinYoric, PezzatiJulien, LescuyerPierre, BroccardJulien, Ponte*Belen, RudazSerge, Combining the advantages of multilevel and orthogonal partial least squares data analysis for longitudinal metabolomics: Application to kidney transplantation., in Anal Chim Acta
Par le biais d'une étude de différentes populations, nous essayons de comprendre les mécanismes de la baisse de fonction liée à l'âge. Des profiles métabolomiques différents ont été mis en évidence selon le degré d'atteinte rénale. Certains métabolites semblent également prédire la détérioration de la fonction rénale au cours du temps. Le but du projet actuel est de comprendre les voies biologiques pouvant mener à l'identification de nouveaux marqueurs d'atteinte rénale. Currently, renal function (RF) is estimated by equations, which integrate serum creatinine to calculate a glomerular filtration rate (eGFR). An eGFR<60ml/min is considered as Chronic Kidney Disease (CKD) independently of the age or the presence of any associated complications. When this eGFR threshold is used, almost half of the adults older than 70 are classified as having “kidney disease”. We have previously confirmed the occurrence of a decline in eGFR over 10 years among 2/3 of the general population. We also have found some factors accelerating renal funcion decline (RFD), such as sodium intake, and observed that the decline was particularly steeper in participants with hypertension older than 65 years. The question remains whether all of them have real RFD or CKD, and its associated complications, or whether it is just natural kidney ageing. Therefore, we performed a metabolomic study through different platforms to identify comprehensive markers associated with eGFR. By using different statistical analyses, we identified several metabolites in blood and urine which could predict eGFR modifications. Metabolites profile was also modified when comparing different stages of CKD to controls. Some metabolites increased with CKD (e.g acetyl-L-méthionine) while other decreased (e.g L-tryptophan). Dialysis also affected metabolomic profile. Whether metabolomic analysis will help in understanding and predicting age-related RF decline or CKD incidence still needs to be determined. Also, future analyses and measures should focus on trying to understand pathways through metabolites identification in different study populations. Thus this follow-up project aim is to extend and better characterize the recent findings.