This study evaluates plasma-based proteomic profiles for predicting amyloid positivity in adults with Down syndrome (DS) and examines the impact of apolipoprotein E ε4 (APOE ε4) on test performance. C Show more
This study evaluates plasma-based proteomic profiles for predicting amyloid positivity in adults with Down syndrome (DS) and examines the impact of apolipoprotein E ε4 (APOE ε4) on test performance. Cross-sectional data from 290 adults with DS were analyzed using single molecule array (SIMOA) technology to measure plasma amyloid beta (Aβ)42, Aβ40, neurofilament light chain (NfL), glial fibrillary acidic protein (GFAP), tau phosphorylated at threonine 181, and total tau. Amyloid burden was quantified using Pittsburgh Compound B and (18)F-florbetapir Aβ positron emission tomography. Support vector machine analyses were conducted with biomarkers as predictors and age, sex, and APOE ε4 carrier status as covariates. Age, GFAP, and NfL contributed the most to the model performance. The proteomic profile achieved an area under the curve (AUC) of 96% in models with and without APOE ε4. These findings suggest that plasma proteomic biomarkers can effectively identify amyloid positivity in adults with DS and may support clinical triage, monitoring, and selection for clinical trials, independent of APOE ε4 status. Show less
Using longitudinal data from multiple cohorts, we evaluated plasma P-tau217 as a predictor of when cognitive impairment occurs in AD. P-tau217 concentrations were analyzed as continuous and binary var Show more
Using longitudinal data from multiple cohorts, we evaluated plasma P-tau217 as a predictor of when cognitive impairment occurs in AD. P-tau217 concentrations were analyzed as continuous and binary variables using cohort-specific biomarker positivity thresholds. Association of plasma P-tau217 with prevalent and incident cognitive impairment were assessed using logistic regression and Cox models, stratified by Elevated P-tau217 levels were significantly associated with the onset of cognitive impairment. Among Plasma P-tau217 levels and the presence Show less
Sex differences in Alzheimer disease (AD) neuropathology have not been examined extensively across multiple pathological constructs within broadly representative samples. To examine sex differences in Show more
Sex differences in Alzheimer disease (AD) neuropathology have not been examined extensively across multiple pathological constructs within broadly representative samples. To examine sex differences in neuroimaging biomarkers of AD-related pathologies in a racially and ethnically diverse cohort. Data for this cross-sectional study were collected from a community-based sample of adults without cognitive impairment aged 60 to 69 years in New York City from March 1, 2016, to September 31, 2022, and analyzed in March 2025. The primary exposure was self-reported sex (women or men). The outcomes were global amyloid burden measured with florbetaben labeled with fludeoxyglucose 18 (18F) positron emission tomography (PET), tau burden in Braak stages I to VI measured with 18F-MK-6240 PET, and magnetic resonance imaging (MRI)-derived AD signature cortical thickness and white matter hyperintensity volumes. Linear regression analyses were performed to examine sex differences in the outcomes. Covariates included demographics, APOE ε4 status, and vascular health-related factors. Sex × age, sex × APOE ε4, and sex × race and ethnicity interactions were additionally examined on the outcomes. False discovery rate (FDR) correction for multiple comparisons were also performed. A total of 503 participants (mean [SD] age, 64.6 [2.8] years; 321 [63.8%] women; 305 [60.6%] Hispanic, 120 [23.9%] non-Hispanic Black, and 78 [15.5%] non-Hispanic White) with Aβ PET, MRI (n = 501), and tau PET (n = 355) data were studied. Compared with men, women had greater amyloid burden (B = 0.05; 95% CI, 0.02-0.07; P < .001), Braak stages III and IV (B = 0.05; 95% CI, 0.02-0.08; P = .003) and Braak stages V and VI (B = 0.09; 95% CI, 0.06-0.12; P < .001) tau burden, and AD signature thickness (B = 0.04; 95% CI, 0.02-0.05; P < .001). A significant sex × APOE ε4 interaction was observed, with women showing greater Braak stages I and II (B = 0.15; 95% CI, 0.04-0.25; P = .006) and Braak stages III and IV (B = 0.08; 95% CI, 0.02-0.14; P = .01) tau burden than men among APOE ε4 carriers. All findings remained statistically significant after FDR correction. No significant sex × age or sex × race and ethnicity interactions were observed on any outcome. This cross-sectional study of community-based adults found greater AD pathology yet better preserved structural brain integrity in women compared with men. Sex differences in tau burden across early to middle Braak stages were more pronounced among APOE ε4 carriers compared with noncarriers. These findings were not modified by age or race and ethnicity. Overall, the results underscore sex-specific distinctions in AD pathology burden and brain structure at the cross-sectional level. Show less
Parental history of dementia is associated with increased dementia risk. We investigated whether having a parent with dementia is associated with increased peripheral inflammation in middle-aged adult Show more
Parental history of dementia is associated with increased dementia risk. We investigated whether having a parent with dementia is associated with increased peripheral inflammation in middle-aged adults. Participants were from the Offspring Study (n = 1204). Parental dementia status was determined by a diagnostic consensus conference. Plasma chemokine and cytokine concentrations were assayed with Luminex technology. Parental history of dementia was associated with higher levels of eotaxin and lower levels of granulocyte colony-stimulating factor, vascular endothelial growth factor A, and interleukin (IL)-27. IL-18 and epidermal growth factor levels were higher in Black individuals with a parental history of dementia compared to Hispanic individuals with the same history. Women with a parental history of dementia had higher levels of interferon-alpha 2, IL-12p70, soluble CD40 ligand, and IL-18 compared to men with the same history. Parental history of dementia is associated with elevated markers of peripheral inflammation. These associations vary across sex, race, and ethnicity. Show less
White matter hyperintensities (WMH) on T2-weighted brain magnetic resonance imaging (MRI) are common in aging and associated with small vessel cerebrovascular disease. Standard segmentation methods tr Show more
White matter hyperintensities (WMH) on T2-weighted brain magnetic resonance imaging (MRI) are common in aging and associated with small vessel cerebrovascular disease. Standard segmentation methods treat these lesions as uniform binary entities, fundamentally reducing WMH signal by flattening a complex spectrum of tissue damage into a single label. Most WMH methods threshold voxel intensities to estimate lesion volume, missing richer characterization achievable by combining fluid-attenuated inversion recovery (FLAIR) with diffusion MRI. We introduce Voxel-wise Correlation of Neighbors (VCON), a cross-modal framework that quantifies voxel-level relationships between intensity values on T2-weighted FLAIR scans and fractional anisotropy (FA) on diffusion MRI within individuals. VCON generates hypothesis-driven WMH labels by identifying regions where increased FLAIR signal is negatively correlated with FA, suggesting underlying microstructural damage. Using MRI data from over 2,500 participants in community-based aging cohorts, we validated VCON through multi-scale analysis, age-association modeling, scanner comparisons, and intensity-based clustering of WMH into spatially coherent zones with distinct microstructural profiles. VCON revealed a gradient of WMH signal variation that tracks with age and diffusion metrics across scanners and segmentation methods. These results demonstrate that binary WMH masks may obscure clinically important variation in lesion characteristics. VCON reframes lesion segmentation as characterizing microstructural heterogeneity, offering additional structure-informed characterization beyond conventional binary methods by leveraging multimodal MRI signal variation. Show less
Yuexuan Xu, Min Qiao, Tamil I Gunasekaran+20 more · 2025 · Alzheimer's & dementia : the journal of the Alzheimer's Association · Wiley · added 2026-04-24
Core 1 biomarkers, such as amyloid positron emission tomography, capture the earliest biological changes leading to Alzheimer's disease (AD). While APOE is a major genetic factor, the contribution of Show more
Core 1 biomarkers, such as amyloid positron emission tomography, capture the earliest biological changes leading to Alzheimer's disease (AD). While APOE is a major genetic factor, the contribution of other variants to Core 1 biomarkers remains unclear. The goal of this study was to determine whether genetic regulators of Core 1 biomarker levels predicted AD pathology better than genetic regulators of clinical AD. Among 955 non-Hispanic White individuals, polygenic scores (PGSs) were built using genome-wide association studies (GWASs) of amyloid PET, plasma tau phosphorylated at threonine 181 (p-tau181), cerebrospinal fluid (CSF) p-tau181, and clinical AD. Hispanic-specific PGSs were constructed in 515 individuals using plasma p-tau181 and clinical AD GWASs. Baseline and longitudinal associations with plasma biomarkers and cognition were assessed, and replication was conducted in separate cohorts. The Core 1 biomarker PGSs predicted AD pathology and associated cognitive performance better than the AD PGSs in both populations. The Core 1 PGSs show improved predictive value for AD-related plasma biomarkers and early cognitive changes. APOE ε4 explained more variance in plasma p-tau217 than in plasma p-tau181. PGSs based on Core 1 biomarkers outperformed AD PGSs in predicting plasma biomarkers and cognitive decline among asymptomatic individuals in non-Hispanic White and Hispanic individuals. However, the improvement in predictive power was modest and may vary by age. While the variance in p-tau181 and p-tau217 explained by individual Core 1 PGSs remains limited, the distinct genetic signals captured by the best-performing PGSs across different Core 1 biomarkers may provide an opportunity for developing an integrative Core 1 PGS that more effectively predicts plasma p-tau181 and p-tau217 levels than AD-based PGS. Show less