Longitudinal study of epigenetic aging and its relationship with brain aging and cognitive skills in young adulthood
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F23%3A00078777" target="_blank" >RIV/00159816:_____/23:00078777 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14740/23:00131667
Result on the web
<a href="https://www.frontiersin.org/articles/10.3389/fnagi.2023.1215957/full" target="_blank" >https://www.frontiersin.org/articles/10.3389/fnagi.2023.1215957/full</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3389/fnagi.2023.1215957" target="_blank" >10.3389/fnagi.2023.1215957</a>
Alternative languages
Result language
angličtina
Original language name
Longitudinal study of epigenetic aging and its relationship with brain aging and cognitive skills in young adulthood
Original language description
IntroductionThe proportion of older adults within society is sharply increasing and a better understanding of how we age starts to be critical. However, given the paucity of longitudinal studies with both neuroimaging and epigenetic data, it remains largely unknown whether the speed of the epigenetic clock changes over the life course and whether any such changes are proportional to changes in brain aging and cognitive skills. To fill these knowledge gaps, we conducted a longitudinal study of a prenatal birth cohort, studied epigenetic aging across adolescence and young adulthood, and evaluated its relationship with brain aging and cognitive outcomes. MethodsDNA methylation was assessed using the Illumina EPIC Platform in adolescence, early and late 20 s, DNA methylation age was estimated using Horvath's epigenetic clock, and epigenetic age gap (EpiAGE) was calculated as DNA methylation age residualized for batch, chronological age and the proportion of epithelial cells. Structural magnetic resonance imaging (MRI) was acquired in both the early 20 s and late 20 s using the same 3T Prisma MRI scanner and brain age was calculated using the Neuroanatomical Age Prediction using R (NAPR) platform. Cognitive skills were assessed using the Wechsler Adult Intelligence Scale (WAIS) in the late 20 s. ResultsThe EpiAGE in adolescence, the early 20 s, and the late 20 s were positively correlated (r = 0.34-0.47), suggesting that EpiAGE is a relatively stable characteristic of an individual. Further, a faster pace of aging between the measurements was positively correlated with EpiAGE at the end of the period (r = 0.48-0.77) but negatively correlated with EpiAGE at the earlier time point (r = -0.42 to -0.55), suggesting a compensatory mechanism where late matures might be catching up with the early matures. Finally, higher positive EpiAGE showed small (Adj R-2 = 0.03) but significant relationships with a higher positive brain age gap in all participants and lower full-scale IQ in young adult women in the late 20 s. DiscussionWe conclude that the EpiAGE is a relatively stable characteristic of an individual across adolescence and early adulthood, but that it shows only a small relationship with accelerated brain aging and a women-specific relationship with worse performance IQ.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30227 - Geriatrics and gerontology
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
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Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Frontiers in Aging Neuroscience
ISSN
1663-4365
e-ISSN
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Volume of the periodical
15
Issue of the periodical within the volume
AUG 1
Country of publishing house
CH - SWITZERLAND
Number of pages
9
Pages from-to
1215957
UT code for WoS article
001048194300001
EID of the result in the Scopus database
2-s2.0-85168136296