Proteomic-Based Aging Clocks and MRI Markers of Cerebral Small Vessel Disease: ARIC and MESA

Park, S., Wang, S., Liu, J., Hughes, T. M., Raven, E. P., Veraart, J., Habes, M., Dubin, R., Deo, R., Post, W. S., Rotter, J. I. I., Wood, A. C., Ganz, P., Sabayan, B., Tang, W., Coresh, J., Pankow, J. S., Walker, K. A., Lutsey, P. L., Guan, W., Prizment, A. E., Sedaghat, S.

Division of Epidemiology and Community Health, School of Public Health, University of Minnesota · medrxiv

Paper

Abstract

Background: This study investigates whether proteomic aging clocks (PACs) are associated with cerebral small vessel disease (CSVD). Methods: We included participants from two US community-based cohorts: the Atherosclerosis Risk in Communities (ARIC) Study and the Multi-Ethnic Study of Atherosclerosis (MESA) Study. These analyses leveraged PACs that were developed in ARIC using proteomics measured by SomaScan in midlife (Visit 2; mean age 56 y; n=1,486) and late-life (Visit 5; mean age 76 y; n=1,496), trained on chronological age. Proteomic age acceleration (PAA) was calculated as residuals from regressing PACs on chronological age. 3T brain MRI data were collected in late-life. We examined associations of PAA with log-transformed white matter hyperintensity (WMH) volume using linear regression and with the presence of microbleeds, and subcortical, lacunar, and cortical infarcts using logistic regression. Associations of PACs with WMH volume and microbleeds were tested in MESA using proteins measured at Exam 1 (mean age 57 y; n=932) and Exam 5 (mean age 66 y; n=934). All associations were quantified per 5-year increase in PAA. All models were adjusted for demographics and cardiovascular risk factors. Results: In ARIC, higher midlife PAA was associated with greater WMH volume (percent difference: 25% [95% CI: 13%, 39%]) and higher odds of subcortical infarcts (OR: 1.24 [1.02, 1.51]). Late-life PAA was associated with all CSVD markers: WMH volume (percent difference: 20% [8%, 34%]), cerebral microbleeds (OR: 1.40 [1.15, 1.69]), subcortical (OR: 1.80 [1.47, 2.22]), lacunar (OR: 1.80 [1.46, 2.23]), and cortical infarcts (OR: 1.39 [1.07, 1.82]). In MESA, higher late-life PAA was associated with greater WMH volume (28% [3%, 58%]) but not with microbleeds. Conclusion: Accelerated proteomic aging is associated with a higher prevalence of MRI markers of CSVD, most predominantly in late-life. Understanding this relationship may help stratify those at higher risk of CSVD at an early stage.

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Research summary

Accelerated proteomic aging is associated with a higher prevalence of MRI markers of cerebral small vessel disease. The study investigates the relationship between proteomic aging clocks and cerebral small vessel disease, which is relevant to understanding age-related health risks and potential interventions in aging.

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