Caselli, Richard J.

Background: Alzheimer's disease (AD) is a leading cause of death worldwide, with growing prevalence as life expectancy increases. An important neurological hallmark of AD is the deposition of extracellular neuritic amyloid-β (Aβ) plaques that can disrupt synaptic transmission and cause neuronal death. More recent studies suggest that targeting Aβ species can slow the progression of cognitive decline in AD. Review Summary: This narrative review examines the efficacy of monoclonal antibodies targeting the amyloid-β (Aβ) protein in the treatment of AD. It discusses the mechanisms by which these antibodies aim to mitigate amyloid pathology and explores their clinical outcomes in various trials. The review highlights the importance of amyloid plaque reduction to less than 25 Centiloids observed through amyloid positron emission tomography (PET) scans as a predictor of slowing cognitive decline. The findings suggest that targeting insoluble amyloid plaques is crucial for achieving clinical benefits in AD treatment. This review also discusses the phenomenon of amyloid-related imaging abnormalities (ARIA) that may be associated with monoclonal antibody therapy. Conclusion: Monoclonal antibodies that target Aβ monomers, soluble oligomers and protofibrils, and insoluble fibrils/plaques were developed, and not all have provided clinical benefit. Emerging evidence suggests that it is important to reduce amyloid plaque burden to less than 25 Centiloids, consistent with a visually negative amyloid PET scan, in order to slow cognitive decline in early symptomatic AD.

Introduction: Emerging evidence highlights the increased white matter hyperintensity (WMH) burden in APOE4 homozygotes, the greatest genetic risk factor for late-onset Alzheimer's disease (AD). The link between WMH and cerebral amyloid-beta (Aβ) accumulation remains unclear, especially in presymptomatic AD phases. We aimed to determine whether WMH burden (global or regional) mediates the association between APOE4 homozygosity and amyloid-PET Aβ deposition in a population of subjects with intact cognition. Methods: WMH were segmented using a deep learning model applied to T1 and T2-FLAIR MRI scans from 49 cognitively intact individuals older than 50. The global and regional (periventricular, lobar, basal ganglia, infratentorial) WMH volumes were adjusted for total intracranial volume and log-transformed to normalize distribution. Amyloid-PET cerebral Aβ burden was quantified in centiloid units; individuals with centiloid > 20 were classified as Aβ-positive. To examine our mediation hypothesis, we tested three pathways using logistic and linear regression models: 1) Path a, the association between APOE4 and global or regional WMH volumes (outcome); 2) Path b, the association between WMH volumes and Aβ positivity (outcome); 3) Path c (total) and c' (direct) effects of APOE4on Aβ positivity (outcome), before and after adjusting for WMH volumes. All models incorporated age and vascular risk factors (hypertension, diabetes, hypercholesterolemia, cigarette smoking). Results: We included 11 APOE4 homozygotes, of whom 7 were Aβ-positive and 38 non-carriers (35 3/3 and 3 3/2) (6 Aβ-positive). Compared to APOE4 non-carriers, APOE4 homozygotes had significantly greater WMH volumes in the posterior periventricular region only (p= 0.0453) (path a). Homozygotes were significantly more likely to be Aβ-positive compared to non-carriers (total effect, path c p=0.0019). This association remained significant after adjusting for WMH (direct effect, path c'= 0.0027). However, neither global (p=0.72) nor posterior periventricular (p=0.84) WMH volumes predicted Aβ positivity (path b) (Figure). Conclusions: In our cohort of cognitively normal individuals including preclinical AD, neither global nor regional WMH burden mediated the relationship between APOE4 homozygosity and Aβ positivity. Larger studies are needed to further evaluate the mechanistic relationship between WMH and neurodegeneration in APOE4 carriers.

Background/Objectives: Mild cognitive impairment (MCI) affects multiple functional and cognitive domains, rendering it challenging to diagnose. Brief mental status exams are insensitive while detailed neuropsychological testing is time-consuming and presents accessibility issues. By contrast, the Oculo-Cognitive Addition Test (OCAT) is a rapid, objective tool that measures oculometric features during mental addition tasks under one minute. This study aims to develop artificial intelligence (AI)-derived predictive models using OCAT eye movement and time-based features for the early detection of those at risk for MCI, requiring more thorough assessment. Methods: The OCAT with integrated eye tracking was completed by 250 patients at the Mayo Clinic Arizona Department of Neurology. Raw gaze data analysis yielded time-related and eye movement features. Random Forest and univariate decision trees were the feature selection methods used to identify predictors of Dementia Rating Scale (DRS) outcomes. Logistic regression (LR) and K-nearest neighbors (KNN) supervised models were trained to classify PMCI using three feature sets: time-only, eye-only, and combined. Results: LR models achieved the highest performance using the combined time and eye movement features, with an accuracy of 0.97, recall of 0.91, and an AUPRC of 0.95. The eye-only and time-only LR models also performed well (accuracy = 0.93), though with slightly lower F1-scores (0.87 and 0.86, respectively). Overall, models leveraging both time and eye movement features consistently outperformed those using individual feature sets. Conclusions: Machine learning models trained on OCAT-derived features can reliably predict DRS outcomes (PASS/FAIL), offering a promising approach for early MCI identification. With further refinement, OCAT has the potential to serve as a practical and scalable cognitive screening tool, suitable for use in clinics, at the bedside, or in remote and resource-limited settings.

Abstract Background Apolipoprotein E (APOE), the major genetic risk factor for Alzheimer's disease (AD), has three common alleles (2, 3 and 4), giving rise to genotypes that are associated with six levels of AD risk: (2/2<2/3<3/3<2/4<3/4<4/4). In our new Arizona APOE Cohort Study, we have begun to establish a longitudinal cohort of more than 300 cognitively unimpaired persons (50‐90 year‐old) stratified by APOE genotype and age decile, matched by age and sex, and have an extensive battery of cognitive, clinical, amyloid (NAV4694) and tau (MK6240) PET, MRI, cerebrospinal fluid (CSF), plasma, and DNA. The study is intended to clarify the impact of APOE4 and APOE2 allelic dose on the predisposition to and protection from AD and inform the design of secondary and primary prevention therapies. Here, we describe the study and the resource of data and samples that are now available to researchers. Methods Participants were recruited from across the United States using GeneMatch and other sources. Comprehensive clinical assessments, brain images, and lumbar punctures are performed every 2 years, 50mL blood samples are acquired annually, and whole genome sequencing is in progress. Results As of January 2025, baseline assessments were completed in 303 participants, 68±9 years of age, including 205 females and 98 males. Sixteen percent are from underrepresented groups. Baseline CSF samples were obtained in 89% of the participants. The complete cohort consists of 17, 63, 41, 65, 66, and 51 persons with the APOE 2/2, 2/3, 3/3, 2/4, 3/4, and 4/4 genotype, respectively. In the first 287 participants with available amyloid PET scans 6% of 2/2, 5% of 2/3, 14% of 3/3, 26% of 2/4, 29% of 3/4, and 52% of 4/4 participants had a positive amyloid PET (≥20 centiloids). Conclusions Building up on our decades of experience in APOE research, we launched the new Arizona APOE Cohort which promises to provide a valuable resource of data and samples to advance the study of APOE, its variants and interactions with other risk and protective factors, and the development, treatment, and prevention of AD. Baseline data are now available to interested and eligible research collaborators.

Purpose White matter hyperintensity (WMH) is associated with heterogeneous pathologies. In neurodegeneration, the prevailing hypothesis is that WMH primarily reflects vascular pathology, exerting an additive effect in AD. Alternatively, a subset of WMH may arise secondary to AD‐related pathophysiology. APOE4 genotype, the greatest genetic risk factor for late‐onset AD, impacts the blood‐brain barrier and WMH burden. Herein, we investigate the association between regional WMH burden and APOE4 allelic dosage in cognitively normal individuals. Methods We used deep learning to automatically segment WMH from T2‐FLAIR MRI from 154 cognitively intact individuals older than 50. We mapped WMH to 4 specific brain regions (lobar, periventricular, basal ganglia and infratentorial, further parcellated into sub‐regions, Table 1) using atlas‐based registration and FastSurfer. WMH volumes were adjusted for total intracranial volume and normalized using log transformation. The APOE4 groups were compared for WMH burden using linear regression, controlling for age and vascular risk factors (hypertension, diabetes, hypercholesterolemia, cigarette smoking). For brain regions where more than 20% of participants had no WMH, a two‐part hurdle model was applied. Results We included 13 APOE4 homozygotes, 50 heterozygotes (ε4/ ε3) and 91 non‐carriers. Compared to non‐carriers, APOEε4 homozygotes exhibited significantly greater WMH burden in the whole brain, periventricular (posterior) and lobar regions (Figure 1a). Homozygotes exhibited a significantly greater WMH burden in the whole brain and posterior periventricular region, when compared to heterozygotes (Figure 1b). No significant whole‐brain or region‐specific differences were observed between heterozygotes and non‐carriers (Figure 1c). Conclusion In cognitively intact individuals at risk for AD, APOE4 homozygosity is associated with significantly greater WMH burden, particularly in the posterior periventricular space, after controlling for age and vascular risk factors. The relationship between regional‐specific WMH burden and neurodegeneration warrants further investigation. image image

AbstractINTRODUCTIONWe previously demonstrated that single‐domain amnestic mild cognitive impairment (SDAm‐MCI) detected through longitudinal neuropsychological testing in our research cohort is less severe than in clinically incident symptomatic individuals. This study aims to replicate and expand this work using a National Alzheimer's Coordinating Center dataset.METHODSParticipants were classified into two groups: those enrolled with normal cognition (Normal Enrollees) and those enrolled with SDAm‐MCI (Amnestic Enrollees). Groups were compared at the time of diagnosis and on rates of cognitive decline post‐diagnosis.RESULTSAt SDAm‐MCI diagnosis, Normal Enrollees were 17% to 39% less impaired on memory tasks, after which the slope of change over time steepened compared to their pre‐symptomatic change and was steeper than in Amnestic Enrollees.DISCUSSIONIncident MCI detected through longitudinal neuropsychological testing is initially milder but may progress more steeply than in clinically established MCI. Sensitive assessment of cognitive decline is essential for capturing early changes that are more likely to be amenable to therapeutic treatment.Highlights Longitudinal cognitive evaluation detects symptomatic Alzheimer's disease earlier than mental status exams. At the time of diagnosis, converters were less impaired compared to initially symptomatic patients. Converters’ cognition declined more steeply than initially symptomatic patients. Sensitive cognitive tests are essential to capture early changes, given new disease‐modifying therapies.