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Updated: Jan 8, 2026

Hybrid PET/MRI Imaging of Alzheimer's Disease Based on 18F-AV-1451
Published on: April 18, 2025
Alzheimer's Imaging Consortium
Xiaqing Jiang1, Sid E O'Bryant2, Robert A Rissman3
1University of California, San Francisco, San Francisco, CA, USA.
Background:
Multimorbidity, the coexistence of two or more chronic conditions, has been linked to cognitive aging and Alzheimer disease (AD) and AD-related dementias, yet the mechanisms remain unclear. We investigated the associations of multimorbidity with cognition and mechanisms through AD pathology, neurodegeneration and cerebral small vessel disease (SVD).
Method:
We cross-sectionally studied a diverse cohort of 2,951 dementia-free participants (64% women, 38% Hispanic, 38% non-Hispanic White, 23% Black) aged ≥50 years (mean age 64.9 ± 8.5) in the Health and Aging Brain Study: Health Disparities. Multimorbidity burden was assessed by counting the total number of chronic conditions out of 22 conditions identified through objective measures, laboratory values, medical history, and self-reports. A latent factor score for overall cognition was estimated using confirmatory factor analysis and neuropsychological tests. Biomarkers assessed included AD pathology (PET amyloid, plasma β-amyloid [Aβ] 42/40 and phosphorylated tau-181 [p-tau]), neurodegeneration (cortical thickness, hippocampal volume [HCV], and plasma neurofilament light [NfL] and total tau), and cerebral SVD (MRI white matter hyperintensities [WMH], cerebral microbleeds, and lacunes). We used linear and logistic regression to assess the associations of multimorbidity burden with continuous and dichotomous biomarkers, respectively. Structural equation modeling (SEM) was used to assess the association of multimorbidity with cognition and mediating pathways.
Result:
After adjusting for age, sex, race/ethnicity, education, APOE ε4, and physical activity, a greater multimorbidity burden (per 3 additional conditions) was associated with worse overall cognition (standardized β = -0.074, 95%CI -0.104 to -0.043) and biomarkers indicative of greater AD pathology, neurodegeneration, and SVD (Figure 1). The direct association between multimorbidity and cognition was attenuated (standardized β = 0.024, 95%CI -0.023 to 0.071) after accounting for the mediating pathways (Figure 2). SEM showed that the association between multimorbidity and worse cognition was primarily mediated by neurodegeneration (74%, standardized β = -0.072, 95%CI -0.109 to -0.035) and partially by AD pathology (22%, standardized β = -0.022, 95%CI -0.038 to -0.005), after multivariable adjustment.
Conclusion:
Among dementia-free individuals, greater multimorbidity burden was associated with biomarkers indicative of greater AD pathology, neurodegeneration, and cerebral SVD. Multimorbidity may contribute to cognition via both neurodegeneration and AD pathways.
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