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.

Circulating metabolites improve the prediction of renal impairment in patients with type 2 diabetes / Trischitta, Vincenzo; Mastroianno, Mario; Scarale, Maria Giovanna; Prehn, Cornelia; Salvemini, Lucia; Fontana, Andrea; Adamski, Jerzy; Schena, Francesco Paolo; Cosmo, Salvatore De; Copetti, Massimiliano; Menzaghi, Claudia. - In: BMJ OPEN DIABETES RESEARCH AND CARE. - ISSN 2052-4897. - 11:5(2023). [10.1136/bmjdrc-2023-003422]

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

Trischitta, Vincenzo;
2023

Abstract

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.
2023
Biomarkers; Diabetes Mellitus, Type 2; Inflammation; Kidney Diseases
01 Pubblicazione su rivista::01a Articolo in rivista
Circulating metabolites improve the prediction of renal impairment in patients with type 2 diabetes / Trischitta, Vincenzo; Mastroianno, Mario; Scarale, Maria Giovanna; Prehn, Cornelia; Salvemini, Lucia; Fontana, Andrea; Adamski, Jerzy; Schena, Francesco Paolo; Cosmo, Salvatore De; Copetti, Massimiliano; Menzaghi, Claudia. - In: BMJ OPEN DIABETES RESEARCH AND CARE. - ISSN 2052-4897. - 11:5(2023). [10.1136/bmjdrc-2023-003422]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1696749
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