IMPORTANCE Autopsy evidence on sex-specific associations of education with neuropathology and cognition is limited. OBJECTIVE To test sex differences in education associations with neuropathologic burden and cognition. DESIGN Cohort study of data collected from September 2005 through August 2024. SETTING Multicenter autopsy cohort from the National Alzheimer's Coordinating Center. PARTICIPANTS Adults aged 55 years or older; cross-sectional eligibility required a final CDR-SB assessment within 2 years before death, and longitudinal eligibility additionally required at least 3 assessments. EXPOSURES Years of formal education. MAIN OUTCOMES AND MEASURES Neuropathologic measures and the Clinical Dementia Rating Scale Sum of Boxes (CDR-SB). Linear regression and mixed-effects models tested associations and interactions of education with sex, neuropathology, and linear and quadratic time. Benjamini-Hochberg correction addressed multiple comparisons. RESULTS Among 2592 participants (mean [SD] age at death, 81.6 [10.8] years; 1188 [45.8%] female), 1969 contributed to longitudinal analyses. In female participants, higher education was associated with lower Thal amyloid phase, diffuse plaques, neuritic plaques, and Braak stage ({beta} range, -0.097 to -0.071; qFDR<.026); none was significant among male participants. Education-by-sex interactions supported differences in Thal amyloid phase, and diffuse and neuritic plaques ({beta} range, -0.119 to -0.097; qFDR<.045). Education was unrelated to final CDR-SB among female ({beta}, -0.007; 95% CI, -0.052 to 0.038; P=.767) and male participants ({beta}, -0.026; 95% CI, -0.071 to 0.019; P=.254), with no education-by-sex interaction (P=.660). The education-by-Braak-stage-by-sex interaction indicated that higher education was associated with a weaker Braak stage-CDR-SB association among females than males ({beta}, -0.104; 95% CI, -0.171 to -0.038; qFDR=.022). Longitudinally, education was unrelated to linear CDR-SB change in either sex. Education-by-quadratic-time associations were observed among females ({beta}, 0.002; 95% CI, 0.001-0.003; P<.001) and male participants ({beta}, 0.001; 95% CI, 0-0.002; P=.037). The corresponding interaction with sex was also significant (P=.043). CONCLUSIONS AND RELEVANCE Among female participants, higher education was associated with lower selected Alzheimer's disease neuropathologic measures and weaker associations of tau pathology with cognition. Longitudinal trajectories were nonlinear, with slower earlier decline followed by later acceleration at higher education levels.
S. Raeesi, Y. Zeighami, C. Morrison et al.· medRxiv· 0 citations
INTRODUCTION: Individuals with Alzheimer's disease (AD) exhibit substantial heterogeneity in the severity of vascular changes and neurodegeneration, making the identification of biologically meaningful subtypes across the AD spectrum critical for improving prognosis and tailoring interventions. We aimed to determine whether data-driven subtyping of individuals at risk for or diagnosed with AD, based on magnetic resonance imaging (MRI), can identify distinct trajectories of disease progression and clinical outcomes. METHODS: We analyzed baseline biomarkers and longitudinal clinical and cognitive assessments from the PREVENT-AD, CIMA-Q, ALLFTD, and ADNI cohorts, including 1396 participants. Regional atrophy and White Matter Hyperintensity (WMH) burden were derived from T1-weighted MRI. The SuStaIn algorithm was applied to baseline data to infer individuals' subtypes and stages based on MRI biomarker profiles. The resulting subtypes were compared in terms of baseline molecular biomarker levels and vascular risk factors, longitudinal cognitive decline trajectories, and clinical and neuropathological outcomes. RESULTS: Two distinct subtypes were identified across all cohorts: one characterized by early parahippocampal and cortical atrophy, and a second by initially elevated WMH volumes. Both subtypes showed abnormal tau and amyloid levels in- and ex-vivo, and subtype two exhibited increased vascular risk factors. Longitudinally, the atrophy-first subtype exhibited steeper cognitive decline than the WMH-first subtype. Accordingly, the atrophy-first subtype carried a higher risk of conversion to AD than the WMH-first group. DISCUSSION: These findings, replicated in four diverse and independent datasets, support imaging-based subtyping as a scalable and clinically translatable approach for capturing heterogeneity in AD pathophysiology and associated cognitive trajectories.
A. Metz, C. Polizzi, R. Moqadam et al.· medRxiv· 0 citations
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