Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Multicenter Study
. 2025 Jun 24;104(12):e213673.
doi: 10.1212/WNL.0000000000213673. Epub 2025 Jun 3.

Epigenetic Aging in Pediatric-Onset Multiple Sclerosis

Affiliations
Multicenter Study

Epigenetic Aging in Pediatric-Onset Multiple Sclerosis

Christopher Goyne et al. Neurology. .

Abstract

Background and objectives: Older 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.

Methods: We 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.

Results: Epigenetic 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], p = 0.33; Hannum β = 1.50 years [CI = 0.58-2.42], p = 0.002; GrimAge β = 0.33 years [CI = -0.30-0.96], p = 0.29; PhenoAge β = 1.72 years [CI = 0.09-3.35], p = 0.004).

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.

PubMed Disclaimer

Conflict of interest statement

The authors report no relevant disclosures. Go to Neurology.org/N for full disclosures.

Comment in

References

    1. Stankoff B, Mrejen S, Tourbah A, et al. . Age at onset determines the occurrence of the progressive phase of multiple sclerosis. Neurology. 2007;68(10):779-781. doi:10.1212/01.wnl.0000256732.36565.4a - DOI - PubMed
    1. Confavreux C, Vukusic S. Age at disability milestones in multiple sclerosis. Brain. 2006;129(Pt 3):595-605. doi:10.1093/brain/awh714 - DOI - PubMed
    1. Scalfari A, Neuhaus A, Daumer M, Ebers GC, Muraro PA. Age and disability accumulation in multiple sclerosis. Neurology. 2011;77(13):1246-1252. doi:10.1212/WNL.0b013e318230a17d - DOI - PMC - PubMed
    1. Tremlett H, Zhao Y, Joseph J, Devonshire V.; UBCMS Clinic Neurologists. Relapses in multiple sclerosis are age- and time-dependent. J Neurol Neurosurg Psychiatry. 2008;79(12):1368-1374. doi:10.1136/jnnp.2008.145805 - DOI - PubMed
    1. Levine ME. Modeling the rate of senescence: can estimated biological age predict mortality more accurately than chronological age? J Gerontol A Biol Sci Med Sci. 2013;68(6):667-674. doi:10.1093/gerona/gls233 - DOI - PMC - PubMed

Publication types

LinkOut - more resources