This observational cohort study analyzed participants from two US community-based cohorts: the Atherosclerosis Risk in Communities (ARIC) Study and the Multi-Ethnic Study of Atherosclerosis (MESA) Study. Sample sizes included ARIC with midlife n=1,486 and late-life n=1,496, and MESA with Exam 1 n=932 and Exam 5 n=934. The intervention or exposure was proteomic aging clocks and proteomic age acceleration, with no comparator reported.
Main results showed associations between proteomic age acceleration and cerebral small vessel disease markers. In ARIC, higher midlife proteomic age acceleration was associated with a 25% greater white matter hyperintensity volume (95% CI: 13%, 39%) and an odds ratio of 1.24 for subcortical infarcts (95% CI: 1.02, 1.51). Late-life proteomic age acceleration in ARIC was linked to a 20% increase in white matter hyperintensity volume (95% CI: 8%, 34%), with odds ratios of 1.40 for cerebral microbleeds (95% CI: 1.15, 1.69), 1.80 for subcortical infarcts (95% CI: 1.47, 2.22), 1.80 for lacunar infarcts (95% CI: 1.46, 2.23), and 1.39 for cortical infarcts (95% CI: 1.07, 1.82). In MESA, higher late-life proteomic age acceleration was associated with a 28% greater white matter hyperintensity volume (95% CI: 3%, 58%), but no association was found with cerebral microbleeds.
Safety and tolerability data were not reported. Key limitations include the observational nature of the study, which precludes causal inferences, and the lack of reported primary outcome, follow-up, and absolute numbers for effect sizes. Practice relevance is not specified, but these findings highlight proteomic age acceleration as a potential biomarker for cerebral small vessel disease, warranting further research to confirm associations and explore clinical utility.
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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.