Evidence map›Paper›PMID 42114983›Full record

ArticleJournal of neurology, neurosurgery, and psychiatry2026

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

Xuelin Tang, Vishaal Sumra, Christine Sato, Danielle Moreno, Mozhgan Khodadadi, Nusrat Sadia, Carmen Wong, Brenda Colella, Robin E A Green, Janet Ta and 7 more

Abstract read
In one paragraph

Article in Journal of neurology, neurosurgery, and psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Xuelin TangTanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada.
Vishaal SumraTanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0002-4521-792X
Christine SatoTanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada.
Danielle MorenoTanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada.
Mozhgan KhodadadiCanadian Concussion Centre, Toronto Western Hospital, Toronto, Ontario, Canada.
Nusrat SadiaCanadian Concussion Centre, Toronto Western Hospital, Toronto, Ontario, Canada.
Carmen WongCanadian Concussion Centre, Toronto Western Hospital, Toronto, Ontario, Canada.
Brenda ColellaCanadian Concussion Centre, Toronto Western Hospital, Toronto, Ontario, Canada.
Robin E A GreenCanadian Concussion Centre, Toronto Western Hospital, Toronto, Ontario, Canada.
Janet TaTanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada.
Kaj BlennowInstitute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Henrik ZetterbergInstitute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Richard WennbergCanadian Concussion Centre, Toronto Western Hospital, Toronto, Ontario, Canada.
Charles H TatorCanadian Concussion Centre, Toronto Western Hospital, Toronto, Ontario, Canada.
Ming ZhangDepartment of Neurology, Neurology and Neurological Rehabilitation Center, Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Centre), Clinical Center for Brain and Spinal Cord Research, School of Medicine, Tongji University, Shanghai, China.ORCID http://orcid.org/0000-0002-4491-8927
Ekaterina RogaevaTanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada Carmela.Tartaglia@uhn.ca ekaterina.rogaeva@utoronto.ca.
Maria Carmela TartagliaTanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada Carmela.Tartaglia@uhn.ca ekaterina.rogaeva@utoronto.ca.ORCID http://orcid.org/0000-0002-5944-8497

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRepetitive head impacts in former contact sport athletes are associated with cognitive impairment, accelerated cerebral atrophy and risk of neurodegenerative disease. Epigenetic clocks derived from age-associated DNA methylation (DNAm) profiles may capture accelerated biological ageing in neurodegenerative conditions; however, their application in former athletes remains unexplored. Here we aim to explore the application of epigenetic clocks as a measure of accelerated biological ageing in a cohort of former athletes.

methodsIn 126 former athletes (96% male; mean age: 54.5±14.4 years; mean concussions: 6.8±6.7), we examined associations of brain volumes, plasma neurofilament light levels and cognitive/behavioural scores with DNAmAge-acceleration, AgeAccelResidual and DNAmFitAge-acceleration.

resultsWe only found an association between the number of concussions and DNAmFitAge-acceleration (p=0.003, B=0.46, R²=0.063), indicating that every two additional concussions were associated with a 5-year increase in DNAmFitAge-acceleration. There was also a trend towards an association between years of play and DNAmAge-acceleration in older athletes.

conclusionsThese preliminary findings suggest that specific epigenetic clock measures may serve as early markers of biological ageing related to repetitive head impacts.

Indexed as

AgingAthletesAthletic InjuriesBrain ConcussionDNA MethylationEpigenesis, GeneticAdultAgedBrainFemaleHumansMaleMiddle AgedNeurofilament Proteinsneurofilament protein LNeurofilament ProteinsCONCUSSIONGENETICSHEAD INJURYMRITRAUMATIC BRAIN INJURY

Identifiers

PMID42114983
PMCPMC13479679

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.