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Your search keyword '"Bizzarri, Daniele"' showing total 2 results
Start Over Author "Bizzarri, Daniele" Journal ebiomedicine
2 results on '"Bizzarri, Daniele"'

1. NMR metabolomics-guided DNA methylation mortality predictors

Author

Geleijnse, J.M., Boersma, E., van Spil, W.E., van Greevenbroek, M.M.J., Stehouwer, C.D.A., van der Kallen, C.J.H., Arts, I.C.W., Rutters, F., Beulens, J.W.J., Muilwijk, M., Elders, P.J.M., 't Hart, L.M., Ghanbari, M., Ikram, M.A., Netea, M.G., Kloppenburg, M., Ramos, Y.F.M., Bomer, N., Meulenbelt, I., Stronks, K., Snijder, M.B., Zwinderman, A.H., Heijmans, B.T., Lumey, L.H., Wijmenga, C., Fu, J., Zhernakova, A., Deelen, J., Mooijaart, S.P., Beekman, M., Slagboom, P.E., Onderwater, G.L.J., van den Maagdenberg, A.M.J.M., Terwindt, G.M., Thesing, C., Bot, M., Penninx, B.W.J.H., Trompet, S., Jukema, J.W., Sattar, N., van der Horst, I.C.C., van der Harst, P., So-Osman, C., van Hilten, J.A., Nelissen, R.G.H.H., Höfer, I.E., Asselbergs, F.W., Scheltens, P., Teunissen, C.E., van der Flier, W.M., van Dongen, J., Pool, R., Willemsen, A.H.M., Boomsma, D.I., Suchiman, H.E.D., Barkey Wolf, J.J.H., Cats, D., Mei, H., Slofstra, M., Swertz, M., Reinders, M.J.T., van den Akker, E.B., Bizzarri, Daniele, Reinders, Marcel J.T., Kuiper, Lieke, Beekman, Marian, Deelen, Joris, van Meurs, Joyce B.J., van Dongen, Jenny, Pool, René, Boomsma, Dorret I., Ghanbari, Mohsen, Franke, Lude, Slagboom, Pieternella E., and van den Akker, Erik B.

Published
2024
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2. NMR metabolomics-guided DNA methylation mortality predictors.

Author

Bizzarri D, Reinders MJT, Kuiper L, Beekman M, Deelen J, van Meurs JBJ, van Dongen J, Pool R, Boomsma DI, Ghanbari M, Franke L, Slagboom PE, and van den Akker EB

Subjects
Humans, Male, Female, Aged, Mortality, Metabolome, Middle Aged, Magnetic Resonance Spectroscopy methods, Aged, 80 and over, DNA Methylation, Metabolomics methods, Biomarkers
Abstract

Background: 1 H-NMR metabolomics and DNA methylation in blood are widely known biomarkers predicting age-related physiological decline and mortality yet exert mutually independent mortality and frailty signals., Methods: Leveraging multi-omics data in four Dutch population studies (N = 5238, ∼40% of which male) we investigated whether the mortality signal captured by 1 H-NMR metabolomics could guide the construction of DNA methylation-based mortality predictors., Findings: We trained DNA methylation-based surrogates for 64 metabolomic analytes and found that analytes marking inflammation, fluid balance, or HDL/VLDL metabolism could be accurately reconstructed using DNA-methylation assays. Interestingly, a previously reported multi-analyte score indicating mortality risk (MetaboHealth) could also be accurately reconstructed. Sixteen of our derived surrogates, including the MetaboHealth surrogate, showed significant associations with mortality, independent of relevant covariates., Interpretation: The addition of our metabolic analyte-derived surrogates to the well-established epigenetic clock GrimAge demonstrates that our surrogates potentially represent valuable mortality signal., Funding: BBMRI-NL, X-omics, VOILA, Medical Delta, NWO, ERC., Competing Interests: Declaration of interests Authors declare no competing interests., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Published
2024
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