PuSH - Publikationsserver des Helmholtz Zentrums München

Trischitta, V.* ; Mastroianno, M.* ; Scarale, M.G.* ; Prehn, C. ; Salvemini, L.* ; Fontana, A.* ; Adamski, J. ; Schena, F.P.* ; De Cosmo, S.* ; Copetti, M.* ; Menzaghi, C.*

Circulating metabolites improve the prediction of renal impairment in patients with type 2 diabetes.

BMJ Open Diab. Res. Care 11:e003422 (2023)
Verlagsversion DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Introduction Low glomerular filtration rate (GFR) is a leading cause of reduced lifespan in type 2 diabetes. Unravelling biomarkers capable to identify high-risk patients can help tackle this burden. We investigated the association between 188 serum metabolites and kidney function in type 2 diabetes and then whether the associated metabolites improve two established clinical models for predicting GFR decline in these patients. Research design and methods Two cohorts comprising 849 individuals with type 2 diabetes (discovery and validation samples) and a follow-up study of 575 patients with estimated GFR (eGFR) decline were analyzed. Results Ten metabolites were independently associated with low eGFR in the discovery sample, with nine of them being confirmed also in the validation sample (ORs range 1.3-2.4 per 1SD, p values range 1.9×10 -2 -2.5×10 -9). Of these, five metabolites were also associated with eGFR decline (ie, tiglylcarnitine, decadienylcarnitine, total dimethylarginine, decenoylcarnitine and kynurenine) (β range -0.11 to -0.19, p values range 4.8×10 -2 to 3.0×10 -3). Indeed, tiglylcarnitine and kynurenine, which captured all the information of the other three markers, improved discrimination and reclassification (all p<0.01) of two clinical prediction models of GFR decline in people with diabetes. Conclusions Further studies are needed to validate our findings in larger cohorts of different clinical, environmental and genetic background.
Altmetric
Weitere Metriken?
[➜Einloggen]
Zusatzinfos bearbeiten [➜Einloggen]
Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter Biomarkers ; Diabetes Mellitus, Type 2 ; Inflammation ; Kidney Diseases; Chronic Kidney-disease; Plasma Metabolites; Function Decline; Risk; Mortality; Serum; Acid; Metabolomics; Kynurenine; Guidelines
ISSN (print) / ISBN 2052-4897
e-ISSN 2052-4897
Zeitschrift BMJ Open Diabetes Research & Care
Quellenangaben Band: 11, Heft: 5, Seiten: , Artikelnummer: e003422 Supplement: ,
Verlag BMJ Publishing Group
Verlagsort London
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Experimental Genetics (IEG)
Förderungen EFSD/Sanofi Grant 2017
Ricerca corrente 2022- 2023
Ministero della Salute
PNRR M4C2I1.3 Heal Italia project
Ministero dell'Istruzione dell'Universita (PRIN) 2015