ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2025
Epigenetic age and telomere length correlations in pediatric-onset multiple sclerosis.
Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Epigenetic Insights in Pediatric Multiple Sclerosis: DNA Methylation Highlights an Involvement of Epstein-Barr Virus Infection and Host Immune Networks.Neurology(R) neuroimmunology & neuroinflammation · 2026Article
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Authors and funding
28 authors.
Funding
Abstract
backgroundAge is the strongest factor determining disease expression in multiple sclerosis (MS). We previously demonstrated biological age acceleration in pediatric-onset MS (POMS) compared to controls with both epigenetic clocks (DNAm) and telomere length (TL). It is unknown whether these markers report overlapping or distinct aging-related processes.
objectivesTo determine the correlation between DNAm and TL aging markers.
methodsWe conducted a cross-sectional case-control study within the US Network of Pediatric MS Centers. We calculated age acceleration residuals for the Horvath, Hannum, PhenoAge, and GrimAge epigenetic clocks and measured TL from whole blood samples to estimate telomere to somatic DNA ratios (T/S ratio). We employed multivariable analysis of covariance to assess the correlation between DNAm estimates and TL.
resultsWe analyzed biological ages in 270 participants (125 POMS, mean 15.7 years; 145 controls, mean 15.3 years). There were moderate correlations among the different DNAm clocks, but no correlations between DNAm clocks and TL in pooled analyses. In a stratified analysis, only the control group showed a modest correlation between TL and PhenoAge clock (
conclusionsDNAm did not correlate with TL in this sample of POMS and controls, suggesting that these biomarkers may capture complementary and non-overlapping elements of aging-related biology.
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