Multiple sclerosis (Houndmills, Basingstoke, England) · 2026
Accelerated metabolomic aging and its association with social determinants of health in multiple sclerosis.
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Siavoshi Fatemeh, Noroozi Rezvan, Chang Gina, Schoeps Vinicius A, Smith Matthew D, Briggs Farren Bs, Graves Jennifer S, Waubant Emmanuelle, Mowry Ellen M, Calabresi Peter A, Bhargava Pavan, Fitzgerald Kathryn C
Аннотация
OBJECTIVES: Biological age may better capture differences in disease course among people with multiple sclerosis (PwMS) of identical chronological age. We investigated biological age acceleration through metabolomic age (mAge) in PwMS and its association with social determinants of health (SDoH) measured by area deprivation index (ADI).
METHODS: mAge was calculated for two cohorts: 323 PwMS and 66 healthy controls (HCs); 101 HCs and 71 DMT-naïve PwMS, using an aging clock derived from 11,977 healthy adults. mAge acceleration, the difference between mAge and chronological age, was compared between groups using generalized linear and mixed-effects models, and its association with ADI was assessed via linear regression.
RESULTS: Estimated mAge showed a modest correlation with chronological age (R2≈0.20-0.25). Cross-sectionally, PwMS had higher age acceleration than HCs: 9.77 years in adult PwMS (95% CI: 6.57-12.97, p = 5.3e-09), and 4.90 years in adult DMT-naïve PwMS (95% CI: 0.85-9.01, p = 0.02). Longitudinally, PwMS aged 1.19 mAge years per chronological year (95% CI: 0.18-2.20; p = 0.02), faster than HCs. In PwMS, a 10-percentile increase in ADI was associated with a 0.63-year (95% CI: 0.10-1.18; p = 0.02) increase in age acceleration.
DISCUSSION: We demonstrated accelerated mAge in PwMS and its association with social disadvantage.
METHODS: mAge was calculated for two cohorts: 323 PwMS and 66 healthy controls (HCs); 101 HCs and 71 DMT-naïve PwMS, using an aging clock derived from 11,977 healthy adults. mAge acceleration, the difference between mAge and chronological age, was compared between groups using generalized linear and mixed-effects models, and its association with ADI was assessed via linear regression.
RESULTS: Estimated mAge showed a modest correlation with chronological age (R2≈0.20-0.25). Cross-sectionally, PwMS had higher age acceleration than HCs: 9.77 years in adult PwMS (95% CI: 6.57-12.97, p = 5.3e-09), and 4.90 years in adult DMT-naïve PwMS (95% CI: 0.85-9.01, p = 0.02). Longitudinally, PwMS aged 1.19 mAge years per chronological year (95% CI: 0.18-2.20; p = 0.02), faster than HCs. In PwMS, a 10-percentile increase in ADI was associated with a 0.63-year (95% CI: 0.10-1.18; p = 0.02) increase in age acceleration.
DISCUSSION: We demonstrated accelerated mAge in PwMS and its association with social disadvantage.