A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
NMR metabolomic modeling of age and lifespan : A multicohort analysis
Tekijät: Lau Chung-Ho E., Manou Maria, Markozannes Georgios, Ala-Korpela Mika, Ben-Shlomo Yoav, Chaturvedi Nish, Engmann Jorgen, Gentry-Maharaj Aleksandra, Herzig Karl-Heinz, Hingorani Aroon, Järvelin Marjo-Riitta, Kähönen Mika, Kivimäki Mika, Lehtimäki Terho, Marttila Saara, Menon Usha, Munroe Patricia B., Palaniswamy Saranya, Providencia Rui, Raitakari Olli, Schmidt Amand Floriaan, Sebert Sylvain, Wong Andrew, Vineis Paolo, Tzoulaki Ioanna, Robinson Oliver
Kustantaja: Wiley-Blackwell
Julkaisuvuosi: 2024
Journal: Aging Cell
Tietokannassa oleva lehden nimi: Aging cell
Lehden akronyymi: Aging Cell
Artikkelin numero: e14164
Vuosikerta: 23
Numero: 7
ISSN: 1474-9718
eISSN: 1474-9726
DOI: https://doi.org/10.1111/acel.14164
Verkko-osoite: https://onlinelibrary.wiley.com/doi/10.1111/acel.14164
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/387769241
Metabolomic age models have been proposed for the study of biological aging, however, they have not been widely validated. We aimed to assess the performance of newly developed and existing nuclear magnetic resonance spectroscopy (NMR) metabolomic age models for prediction of chronological age (CA), mortality, and age-related disease. Ninety-eight metabolic variables were measured in blood from nine UK and Finnish cohort studies (N ≈31,000 individuals, age range 24-86 years). We used nonlinear and penalized regression to model CA and time to all-cause mortality. We examined associations of four new and two previously published metabolomic age models, with aging risk factors and phenotypes. Within the UK Biobank (N ≈102,000), we tested prediction of CA, incident disease (cardiovascular disease (CVD), type-2 diabetes mellitus, cancer, dementia, and chronic obstructive pulmonary disease), and all-cause mortality. Seven-fold cross-validated Pearson's r between metabolomic age models and CA ranged between 0.47 and 0.65 in the training cohort set (mean absolute error: 8-9 years). Metabolomic age models, adjusted for CA, were associated with C-reactive protein, and inversely associated with glomerular filtration rate. Positively associated risk factors included obesity, diabetes, smoking, and physical inactivity. In UK Biobank, correlations of metabolomic age with CA were modest (r = 0.29-0.33), yet all metabolomic model scores predicted mortality (hazard ratios of 1.01 to 1.06/metabolomic age year) and CVD, after adjustment for CA. While metabolomic age models were only moderately associated with CA in an independent population, they provided additional prediction of morbidity and mortality over CA itself, suggesting their wider applicability.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
Julkaisussa olevat rahoitustiedot:
217065/Z/19/Z/MRC_/Medical Research Council/United Kingdom G0801228/MRC_/Medical Research Council/United Kingdom G9901012/MRC_/Medical Research Council/United Kingdom MR/S03658X/1/MRC_/Medical Research Council/United Kingdom MR_UU_12023/MRC_/Medical Research Council/United Kingdom R024227/MRC_/Medical Research Council/United Kingdom C1479/A2884/CRUK_/Cancer Research UK/United Kingdom 067100/WT_/Wellcome Trust/United Kingdom 086676/7/08/Z/WT_/Wellcome Trust/United Kingdom 217065/Z/19/Z/WT_/Wellcome Trust/United Kingdom 221854/Z/20/Z/WT_/Wellcome Trust/United Kingdom 37055891/WT_/Wellcome Trust/United Kingdom 13/0004774/DUK_/Diabetes UK/United Kingdom ALZS_/Alzheimer's Society/United Kingdom AA/18/6/34223/BHF_/British Heart Foundation/United Kingdom CS/13/1/30327/BHF_/British Heart Foundation/United Kingdom PG/06/145/BHF_/British Heart Foundation/United Kingdom PG/08/103/26133/BHF_/British Heart Foundation/United Kingdom
