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Record W7117329606 · doi:10.1002/alz70856_103202

The study of epigenetic clocks in former professional contact sports athletes with repetitive head injuries

2025· article· en· W7117329606 on OpenAlexaff
Ekaterina Rogaeva, Xuelin Tang, Vishaal Sumra, Christine Sato, Brenda Colella, Robin Green, Kaj Blennow, Henrik Zetterberg, Richard Wennberg, Charles Tator, Ming Zhang, Carmela M. Tartaglia

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsToronto Western HospitalOccupational Cancer Research CentreUniversity Health NetworkToronto Dementia Research AllianceUniversity of Toronto
Fundersnot available
KeywordsEpigeneticsAthletesConcussionAssociation (psychology)Head (geology)Poison control

Abstract

fetched live from OpenAlex

Abstract Background The long‐term consequences of repetitive head impacts in contact sports include cognitive deficits, accelerated brain atrophy, and neurodegenerative diseases. Currently, no studies of former athletes have addressed the connection between brain aging and biological aging, which can be assessed using age‐related DNA methylation (DNAm) profiles. The most studied epigenetic clock is DNAm‐age, which is providing consistent results across tissues (e.g., blood and brain). It includes several measures like DNAm‐age acceleration (DNAmAA), the difference between DNAm‐age and chronological age, and DNAmAA‐residual (DNAmAAr), independent of chronological age. In a cohort of retired athletes, we explored the link between measures of brain age and epigenetic age, including the recently developed DNAmFit‐age reported to be younger in physically fit individuals. Method We investigated 126 former contact sports athletes (mean age: 54.5±14.4; 96% male; mean concussion number: 6.8±6.7). Longitudinal assessments were available for 21 athletes (2–3 time points over 1–10 years). Bisulfite‐converted blood DNA was analyzed using the Infinium MethylationEPIC chip, and the DNAm data were submitted to the Horvath calculator ( https://dnamage.clockfoundation.org/ ) to obtain DNAmFit‐age, DNAm‐age, and DNAmAAr. T1‐weighted MRIs were processed using the CAT12‐Toolbox. Regional gray matter volume was examined in relation to DNAmAA, DNAmAAr and DNAmFit‐age acceleration (DNAmFitAA). Result Consistent with previous findings, chronological age was significantly associated with brain volumes and cortical thickness. DNAmAA, DNAmAAr, and DNAmFitAA remained stable over a period of up to 10 years, and none of these measures were associated with brain volumes or cortical thickness. Notably, multivariate linear regression analysis revealed a significant positive association between DNAmFitAA and the number of concussions ( p = 0.0027, B=0.46, R 2 =0.063), indicating that every additional two concussions correspond to a 5‐year increase in DNAmFitAA. Conclusion In former athletes, we confirmed that chronological age is associated with cerebral atrophy and identified an association between increased DNAmFitAA and a higher number of concussions. This finding requires validation in independent studies, along with an assessment of the relationship between DNAmFitAA and neurodegeneration. Our analysis did not reveal a link of the examined epigenetic clocks with brain volumes and cortical thickness. Exploration of other epigenetic clocks may provide new insights into the mechanisms underlying brain aging.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.289
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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