Evidence map›Paper›PMID 40460354›Full record

ArticleNeurology2025

Epigenetic Aging in Pediatric-Onset Multiple Sclerosis.

Christopher Goyne, Ashley E Fair, Defne Yilmaz, Jonathan Race, Allison Schuette, Stacy J Caillier, Gregory S Aaen, Aaron W Abrams, Leslie A Benson, T Charles Casper and 17 more

Abstract readMulticenter Study
In one paragraph

Article in Neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Epigenetic age and telomere length correlations in pediatric-onset multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2025
    Article
  8. Review
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

27 authors.

Christopher GoyneDepartment of Neurosciences, University of California San Diego, CA.
Ashley E FairDepartment of Neurosciences, University of California San Diego, CA.
Defne YilmazUC Berkeley, Division of Epidemiology, School of Public Health, CA.
Jonathan RaceUniversity of Utah, Salt Lake City, UT.
Allison SchuetteUniversity of Utah, Salt Lake City, UT.
Stacy J CaillierUCSF, San Francisco, CA.
Gregory S AaenLoma Linda University, Loma Linda, CA.ORCID 0000-0002-0408-2053
Aaron W AbramsThe Mellen Center, Cleveland Clinic, Cleveland, OH.ORCID 0000-0002-4607-5740
Leslie A BensonBrigham and Women's Hospital, Harvard Medical School, Boston, MA.ORCID 0000-0002-1680-4834
T Charles CasperUniversity of Utah, Salt Lake City, UT.ORCID 0000-0001-7512-1294
Tanuja ChitnisBrigham and Women's Hospital, Harvard Medical School, Boston, MA.ORCID 0000-0002-9897-4422
Mark P GormanBrigham and Women's Hospital, Harvard Medical School, Boston, MA.ORCID 0000-0003-3694-8832
Timothy E LotzeTexas Children's Hospital, Houston, TX.ORCID 0009-0003-2898-1963
Lauren B KruppNYU Langone Multiple Sclerosis Comprehensive Care Center, New York, NY.ORCID 0000-0001-7003-807X
Soe S MarWashington University in St. Louis, MO.ORCID 0000-0001-8449-2003
Jayne M NessThe University of Alabama at Birmingham, AL.ORCID 0000-0001-8017-0138
Mary RenselThe Mellen Center, Cleveland Clinic, Cleveland, OH.ORCID 0000-0001-9613-8394
Moses RodriguezMayo Clinic, Rochester, MN.ORCID 0000-0001-6328-6497
John W RoseUCSF, San Francisco, CA.ORCID 0000-0003-2382-5921
Teri L SchreinerUniversity of Colorado, Aurora, CO; and.ORCID 0000-0002-3816-812X
Jan-Mendelt TillemaMayo Clinic, Rochester, MN.ORCID 0000-0001-6933-8913
Amy Tara WaldmanCHOP, Philadelphia, PA.ORCID 0000-0002-1054-0815
Yolanda S WheelerMayo Clinic, Rochester, MN.ORCID 0000-0003-1391-4496
Lisa F BarcellosUC Berkeley, Division of Epidemiology, School of Public Health, CA.ORCID 0000-0002-0303-3479
Emmanuelle WaubantUCSF, San Francisco, CA.ORCID 0000-0001-5188-0157
Jennifer S GravesDepartment of Neurosciences, University of California San Diego, CA.ORCID 0000-0003-1539-1940
as the US Network of Pediatric MS Centers

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesOlder chronological age is associated with decreased multiple sclerosis (MS) relapse rates and increased risk of progressive disease. Measurement of biological age may be more precise than birthdate in understanding these aging effects. In addition to normal aging, MS-related accelerated aging may contribute. Measurement of biological age in adults may be confounded by the effects of natural aging and age-related comorbidities. Examining age extremes can be informative, and demonstrating accelerated biological aging in children would support a hypothesis of MS driving premature aging. We sought to compare epigenetic age in participants with pediatric-onset MS (POMS) and age-similar controls.

methodsWe performed a multicenter case-control analysis of epigenetic age in a prospectively collected set of whole blood DNA samples and clinical data. Quantitative methylation scores were derived for approximately 850,000 cytosine-phosphate-guanine (CpG) sites. Epigenetic age was calculated based on 4 established epigenetic clock algorithms. Epigenetic age and age acceleration residual (AAR) were compared between participants with POMS and age-similar controls using multivariate regression analysis, adjusted for demographic variables.

resultsEpigenetic age and AAR were greater in cases (n = 125, mean age 15.7 years [SD = 2.6], 63.2% female) compared with controls (n = 145, mean age 15.3 years [SD = 3.4], 63.5% female) after adjusting for age, sex, body mass index, tobacco exposure, and socioeconomic status. This difference was statistically significant for 2 of the 4 epigenetic clocks used (Horvath β = 0.31 years [CI = -0.32-0.94], DISCUSSION: We observed greater point estimates of epigenetic age in participants with POMS compared with healthy controls in all epigenetic clocks tested. This difference was statistically significant for the Hannum and PhenoAge clocks after multivariable modeling. These results are consistent with those of studies in adult MS and suggest that accelerated aging may be present even in the youngest people living with MS.

Indexed as

AgingEpigenesis, GeneticMultiple SclerosisAdolescentAdultAge of OnsetCase-Control StudiesChildDNA MethylationFemaleHumansMaleYoung Adult

Identifiers

PMID40460354
PMCPMC12141422

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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.