Low, Dorrain YanwenLefèvre Arbogast, SophieGonzález-Domínguez, RaúlUrpí Sardà, MireiaMicheau, PierrePetera, MelanieCenteno, DelphineDurand, StephaniePujos Guillot, EstelleKorosi, AnikoLucassen, Paul J.Aigner, LudwigProust Lima, CécileHejblum, Boris P.Helmer, CatherineAndrés Lacueva, Ma. CristinaThuret, SandrineSamieri, CéciliaManach, Claudine2020-04-282020-06-202019-06-201613-4125https://hdl.handle.net/2445/157803Scope: Untargeted metabolomics may reveal preventive targets in cognitive aging, including within the food metabolome. Methods and results: A case-control study nested in the prospective Three-City study includes participants aged &65 years and initially free of dementia. A total of 209 cases of cognitive decline and 209 controls (matched for age, gen- der, education) with slower cognitive decline over up to 12 years are contrasted. Using untargeted metabolomics and bootstrap-enhanced penalized regression, a baseline serum signature of 22 metabolites associated with subsequent cognitive decline is identified. The signature includes three coffee metabolites, a biomarker of citrus intake, a cocoa metabolite, two metabolites putatively derived from fish and wine, three medium-chain acylcarnitines, glycodeoxycholic acid, lysoPC(18:3), trimethyllysine, glucose, cortisol, creatinine, and arginine. Adding the 22 metabolites to a reference predictive model for cognitive decline (conditioned on age, gender, education and including ApoE-ε4, diabetes, BMI, and number of medications) substantially increases the predictive performance: cross-validated Area Under the Receiver Operating Curve = 75% [95% CI 70-80%] compared to 62% [95% CI 56-67%]. Conclusions: The untargeted metabolomics study supports a protective role of specific foods (e.g., coffee, cocoa, fish) and various alterations in the endogenous metabolism responsive to diet in cognitive aging.10 p.application/pdfeng(c) Wiley-VCH, 2019MetabòlitsDietaMetabolitesDietinfo:eu-repo/semantics/article6918062020-04-28info:eu-repo/semantics/openAccess31218777