Alzheimer's Disease Dementia Research Articles

Using Deep Learning Neural Networks to Improve Dementia Detection: Automating Coding of the Clock-Drawing Test.

Alzheimer's disease and related dementias (ADRD) is a growing public health concern. The clock-drawing test (CDT), where subjects draw a clock, typically with hands showing 11:10, has been widely used for ADRD-screening. A limitation of including CDT in large-scale studies is that the CDT requires manual coding, which could result in biases if coders interpret and implement coding rules differently. This study created and evaluated an intelligent CDT Clock Scoring system built with Deep Learning Neural Networks (DLNN) to automatically code CDT images. We used a large, publicly available repository of CDT images from the 2011-2019 National Health and Aging Trends Study (NHATS) and compared three advanced DLNN methods - ResNet101, EfficientNet and Vision Transformers (ViT) in coding CDT into binary and ordinal (0 to 5) scores. We extended beyond the traditional nominal classification approach (which does not recognize order) by introducing structured ordering into the coding system and compared DLNN-coded CDT images with manual coding. Results suggest that ViT outperforms ResNet101 and EfficientNet, as well as manual coding. The ordinal coding system has the ability to allow researchers to minimize either under- or over-estimation errors. Starting in 2022, our developed ViT-coding system has been used in NHATS' annual CDT-coding.

Cognitive Trajectories and Associated Social and Behavioral Determinants Among Racial/Ethnic Minority Older Adults in the United States.

Despite higher risks of developing Alzheimer's disease and Alzheimer's disease-related dementias (AD/ADRD) among racial/ethnic minority populations, some maintain good cognition until old age. This study aimed to investigate heterogeneous cognitive trajectories among non-Hispanic Black and Hispanic older adults, examine cognitive impairment prevalence across trajectory classes, and identify associated social and behavioral determinants. Using 11 waves of data from the Health and Retirement Study (1996-2016), 1,322 non-Hispanic Black and 747 Hispanic adults aged 50 + with normal cognition in 1996 were included. Latent class growth modeling and multinomial logistic regressions were performed to examine cognitive trajectories and associated determinants. For both racial/ethnic groups, three trajectory classes were identified: high, medium, and low cognition. In the low cognition class, 87% and 100% of non-Hispanic Black and Hispanic participants developed cognitive impairment. For both racial/ethnic groups, older age and living in rural areas during school time increased the likelihood of being in the low cognition class, while more education was associated with a lower likelihood. Unique risk and protective determinants for non-Hispanic Black and Hispanic participants were also identified. This study reveals the heterogeneity of cognitive trajectories among racial/ethnic minority older adults and various associated social and behavioral determinants. More prevention interventions and accessible, affordable diagnosis and treatment should be provided to older racial/ethnic minorities with these characteristics to reduce disparities. More research is needed to further explore associations between unique determinants and cognition in racial/ethnic minority populations to better inform interventions.

Structure-based computer-aided drug design to identify potential lead molecules for Asparaginyl Endopeptidase inhibitors.

The enzyme Asparaginyl Endopeptidase (AEP) is associated with proteinopathy-related pathologies such as Alzheimer's disease (AD) and Frontal Temporal Dementia (FTD). The onset of pathologies by AEP is due to cleaved fragments forming protein aggregates resulting in neurodegeneration. Unfortunately, there are no clinically approved small molecule inhibitors for AEP, and therefore, it serves as an unmet medical need for the design and development of potential novel small molecules. In developing potential inhibitors for proteolytic activity, a structured approach utilizing structure-based computer-aided drug design (SB-CADD) parameters was employed. This involved virtual high throughput screening (vHTS) across various CNS-focused databases enriched with diverse functionality. We identified the top sixty ligands based on the glide XP-docking score out of 10 million ligands. The free binding energy was then calculated using MM-GBSA for all top selected molecules which resulted in discovering that AEPI-1 to AEPI-6 (Asparaginyl Endopeptidase inhibitors) displayed high affinity towards the catalytic triad. Further investigation determined that all top six hits form stable complexes during 50 ns molecular dynamic simulations. We also observed that AEPI-2 demonstrated the highest stability within the binding pockets. Post-MD analyses such as DCCM, PCA, PDF, and ADMET properties were also evaluated. By bridging all the observations, we observed these six molecules occupy the active site of the β-helix (β1, β3, and β4) of the S1 pocket and additional binding sites in α1 and β5, suggesting its suitability as a potential candidate for drug discovery against Asparaginyl Endopeptidase.

Rural Roads to Cognitive Resilience (RRR): A prospective cohort study protocol.

Ambient air pollution, detrimental built and social environments, social isolation (SI), low socioeconomic status (SES), and rural (versus urban) residence have been associated with cognitive decline and risk of Alzheimer's disease and related dementias (ADRD). Research is needed to investigate the influence of ambient air pollution and built and social environments on SI and cognitive decline among rural, disadvantaged, ethnic minority communities. To address this gap, this cohort study will recruit an ethnoracially diverse, rural Florida sample in geographic proximity to seasonal agricultural burning. We will (1) examine contributions of smoke-related fine particulate matter (PM2.5) exposures to SI and cognitive function; (2) determine effects of built and social environments on SI and cognitive function; and (3) contextualize SI and cognitive function among residents from different ethnoracial groups during burn and non-burn seasons. Methods: We will recruit 1,087 community-dwelling, dementia-free, >=45-year-olds from five communities in Florida's Lake Okeechobee region. Over 36 months, participants will complete baseline visits to collect demographics, health history, and health measurements (e.g., blood pressure, body mass index) and 6-month follow-ups assessing cognitive function and social isolation at each visit. A subsample of 120 participants representative of each community will wear smartwatches to collect sensor data (e.g., heart rate) and daily routine and predefined activities (e.g., GPS-captured travel, frequent destinations) over two months. Ecological momentary assessments (EMA) (e.g., whether smoke has bothered participant in last 30 minutes) will occur over two months during agricultural burning and non-burning months. PurpleAir monitors (36 total) will be installed in each community to continuously monitor outdoor PM2.5 levels. Ethics and expected impact: This study received Florida Atlantic University's Institutional Review Board approval and will require participant informed consent. We expect to identify individual- and community-level factors that increase the risk for SI and cognitive decline in a vulnerable rural population.

External validation of dementia prediction models in Black or African American and White older adults: A longitudinal population-based study in the United States.

Identifying people at high risk of Alzheimer's disease (AD) dementia allows for timely intervention, which, if successful, will result in preventing or delaying the onset of the disease. Utilizing data from the Chicago Health and Aging Project (CHAP; n=2130), we externally evaluated four risk-prediction models for AD dementia, including Cardiovascular Risk Factors, Aging, and Dementia (CAIDE), Australian National University Alzheimer's Disease Risk Index (ANU-ADRI), Brief Dementia Screening Indicator (BDSI), and Dementia Risk Score (DRS), in Black or African American and White adults. BDSI had the highest discriminate abilities for AD dementia (c-statistics of 0.79 in Black and 0.77 in White adults), followed by ANU-ADRI, within the age range and follow-up period of the original development cohort. CAIDE had the lowest discriminating power (c-statistic≤0.55). With increasing follow-up periods (i.e., 10-15 years), the discrimination abilities for all models declined. Because of racial disparities in AD dementia and longer preclinical and prodromal stages of disease development, race-specific models are needed to predict AD risk over 10 years. Utilizing risk-prediction models to identify individuals at higher risk of Alzheimer's disease (AD) dementia could benefit clinicians, patients, and policymakers. Clinicians could enroll high-risk individuals in clinical trials to test new risk-modifiable treatments or initiate lifestyle modifications, which, if successful, would slow cognitive decline and delay the onset of the disease. Current risk-prediction models had good discriminative power during the first 6 years of follow-up but decreased with longer follow-up time. Acknowledging the longer preclinical phase of AD dementia development and racial differences in dementia risk, there is a need to develop race-specific risk-prediction models that can predict 10 or 20 years of risk for AD and related dementias.

Biological mechanisms of resilience to tau pathology in Alzheimer’s disease

BackgroundIn Alzheimer’s disease (AD), the associations between tau pathology and brain atrophy and cognitive decline are well established, but imperfect. We investigate whether cerebrospinal fluid (CSF) biomarkers of biological processes (vascular, synaptic, and axonal integrity, neuroinflammation, neurotrophic factors) explain the disconnection between tau pathology and brain atrophy (brain resilience), and tau pathology and cognitive decline (cognitive resilience).MethodsWe included 428 amyloid positive participants (134 cognitively unimpaired (CU), 128 with mild cognitive impairment (MCI), 166 with AD dementia) from the BioFINDER-2 study. At baseline, participants underwent tau positron emission tomography (tau-PET), magnetic resonance imaging (MRI), cognitive testing, and lumbar puncture. Longitudinal data were available for MRI (mean (standard deviation) follow-up 26.4 (10.7) months) and cognition (25.2 (11.4) months). We analysed 18 pre-selected CSF proteins, reflecting vascular, synaptic, and axonal integrity, neuroinflammation, and neurotrophic factors. Stratifying by cognitive status, we performed linear mixed-effects models with cortical thickness (brain resilience) and global cognition (cognitive resilience) as dependent variables to assess whether the CSF biomarkers interacted with tau-PET levels in its effect on cortical atrophy and cognitive decline.ResultsRegarding brain resilience, interaction effects were observed in AD dementia, with vascular integrity biomarkers (VEGF-A (βinteraction = -0.009, pFDR = 0.047) and VEGF-B (βinteraction = -0.010, pFDR = 0.037)) negatively moderating the association between tau-PET signal and atrophy. In MCI, higher NfL levels were associated with more longitudinal cortical atrophy (β = -0.109, pFDR = 0.033) and lower baseline cortical thickness (β = -0.708, pFDR = 0.033) controlling for tau-PET signal. Cognitive resilience analyses in CU revealed interactions with tau-PET signal for inflammatory (GFAP, IL-15; βinteraction -0.073–-0.069, pFDR 0.001–0.045), vascular (VEGF-A, VEGF-D, PGF; βinteraction -0.099–-0.063, pFDR < 0.001–0.046), synaptic (14–3-3ζ/δ; βinteraction = -0.092, pFDR = 0.041), axonal (NfL; βinteraction = -0.079, pFDR < 0.001), and neurotrophic (NGF; βinteraction = 0.091, pFDR < 0.001) biomarkers. In MCI higher NfL levels (βmain = -0.690, pFDR = 0.025) were associated with faster cognitive decline independent of tau-PET signal.ConclusionsBiomarkers of co-existing pathological processes, in particular vascular pathology and axonal degeneration, interact with levels of tau pathology on its association with the downstream effects of AD pathology (i.e. brain atrophy and cognitive decline). This indicates that vascular pathology and axonal degeneration could impact brain and cognitive resilience.

Lactobacillus Eats Amyloid Plaque and Post-Biotically Attenuates Senescence Due to Repeat Expansion Disorder and Alzheimer's Disease.

Patients with Alzheimer's disease and related dementia (ADRD) are faced with a formidable challenge of focal amyloid deposits and cerebral amyloid angiopathy (CAA). The treatment of amyloid deposits in ADRD by targeting only oxidative stress, inflammation and hyperlipidemia has not yielded significant positive clinical outcomes. The chronic high-fat diet (HFD), or gut dysbiosis, is one of the major contributors of ADRD in part by disrupted transport, epigenetic DNMT1 and the folate 1-carbon metabolism (FOCM) cycle, i.e., rhythmic methylation/de-methylation on DNA, an active part of epigenetic memory during genes turning off and on by the gene writer (DNMT1) and eraser (TET2/FTO) and the transsulfuration pathway by mitochondrial 3-mercaptopyruvate sulfur transferase (3MST)-producing H2S. The repeat CAG expansion and m6A disorder causes senescence and AD. We aim to target the paradigm-shift pathway of the gut-brain microbiome axis that selectively inhibits amyloid deposits and increases mitochondrial transsulfuration and H2S. We have observed an increase in DNMT1 and decreased FTO levels in the cortex of the brain of AD mice. Interestingly, we also observed that probiotic lactobacillus-producing post-biotic folate and lactone/ketone effectively prevented FOCM-associated gut dysbiosis and amyloid deposits. The s-adenosine-methionine (SAM) transporter (SLC25A) was increased by hyperhomocysteinemia (HHcy). Thus, we hypothesize that chronic gut dysbiosis induces SLC25A, the gene writer, and HHcy, and decreases the gene eraser, leading to a decrease in SLC7A and mitochondrial transsulfuration H2S production and bioenergetics. Lactobacillus engulfs lipids/cholesterol and a tri-directional post-biotic, folic acid (an antioxidant and inhibitor of beta amyloid deposits; reduces Hcy levels), and the lactate ketone body (fuel for mitochondria) producer increases SLC7A and H2S (an antioxidant, potent vasodilator and neurotransmitter gas) production and inhibits amyloid deposits. Therefore, it is important to discuss whether lactobacillus downregulates SLC25A and DNMT1 and upregulates TET2/FTO, inhibiting β-amyloid deposits by lowering homocysteine. It is also important to discuss whether lactobacillus upregulates SLC7A and inhibits β-amyloid deposits by increasing the mitochondrial transsulfuration of H2S production.

The impact of cardiovascular and cerebrovascular disease on the risk of dementia in rheumatoid arthritis: A mediation analysis

ObjectiveTo examine the role of cardiovascular disease (CVD) as a mediator in the pathway between rheumatoid arthritis (RA) and Alzheimer's disease and related dementias (ADRD). MethodsThis retrospective population-based study included patients over 50 years of age with incident RA, who met the 1987 ACR criteria in 1980–2014. This cohort was matched 1:1 on age, sex and index year to comparators without RA. Information on CVD events was manually extracted from electronic health records. The relationships between RA, CVD and ADRD were examined using Cox proportional hazard models. Time dependent mediation analysis was used to examine the role of CVD as a mediator between RA and ADRD. Results1754 individuals were included (877 persons with RA and 877 comparators without RA). During follow-up, 105 patients with RA and 102 individuals without RA developed ADRD; 444 patients with RA and 375 individuals without RA developed CVD. There was a non-significant association between RA and ADRD both without (aHR 1.27, 95 % CI 0.96, 1.69) and with (aHR 1.27, 95 % CI 0.95,1.68) CVD as a time dependent mediator. The mediation effect of any CVD on ADRD risk was not significant (p = 0.84). We found a significant interaction between RA and CVD on the risk of ADRD (aHR 1.95, 95 % CI 1.11, 3.42; p = 0.021). ConclusionsThe risk of ADRD in RA appears to be increased mainly in the presence of CVD. CVD was not a significant mediator on the risk of ADRD in RA. There was a significant synergistic effect of RA and CVD on ADRD risk.

Alzheimer's dementia in people with Down syndrome : Results of guideline-assisted expert interviews on healthcare deficits in the diagnostics and treatment as well as solution approaches

People with Down syndrome have agenetically increased risk of developing early onset Alzheimer's dementia. An interview study with healthcare providers, patient representatives and employees in residential and work facilities was conducted to identify deficits in the healthcare process and approaches to overcoming them. In this study 14 semi-structured interviews were conducted and analyzed using qualitative content analysis. Alack of knowledge and experience on the part of medical service providers in dealing with and providing medical care for people with Down syndrome was identified as akey challenge. In addition, the diagnosis of dementia in people with Down syndrome is difficult for various reasons (including lack of appropriate diagnostic tools in standard care and lack of time or financial resources). Doubts were expressed about the efficacy of antidementia medications and the reasons for the increased use of sedatives were discussed. Attentive observation of behavior and involvement of caregivers, regular review and reduction of polypharmacy and the use of alternative behavior modification techniques were mentioned as possible solutions. The identified deficits in the medical care of the target population and the approaches to solving them will be incorporated into the development of health policy recommendations in order to optimize the care situation of those affected in the long term.

Alzheimer's Dementia and Anti-Dementia Medication Prescriptions 2010-2021 in 357 GP Practices and 71 Specialist Practices

The predicted prevalence of people with dementia (PWD) in Germany has risen to 1.8 million since 2010. In the near future, we will see the approval of antibody therapies. The study aims to demonstrate the recent anti-dementia medication prescriptions and diagnosis prevalence. Data from 357 general practitioner (GP) and 71 specialist practices (SP) (1.1 Mio. patients) were analyzed to demonstrate the prevalence of dementia diagnoses and anti-dementia drug prescriptions between 2010 and 2021. The diagnosis prevalence of PWD (Alzheimer's dementia) remained relatively constant in GP practices at 1.0-1.3% (0.19-0.21%). Among SP, the prevalence increased from 4.9% (2.8%) to 5.9% (3.6%). The anti-dementia prescription rate decreased in GP (from 0.14% to 0.10%) and increased in SP practices (from 2.1% to 2.4%). The diagnosis and prescription rate, especially in GP practices, remained below the prevalence forecasts and the expected prescriptions.

NIAGADS: A Comprehensive National Data Repository for Alzheimer's Disease and Related Dementia Genetics and Genomics Research.

NIAGADS is the National Institute on Aging (NIA) designated national data repository for human genetics research on Alzheimer's Disease and related dementia (ADRD). NIAGADS maintains a high-quality data collection for ADRD genetic/genomic research and supports genetics data production and analysis. NIAGADS hosts whole genome and exome sequence data from the Alzheimer's Disease Sequencing Project (ADSP) and other genotype/phenotype data, encompassing 209,000 samples. NIAGADS shares these data with hundreds of research groups around the world via the Data Sharing Service, a FISMA moderate compliant cloud-based platform that fully supports the NIH Genome Data Sharing Policy. NIAGADS Open Access consists of multiple knowledge bases with genome-wide association summary statistics and rich annotations on the biological significance of genetic variants and genes across the human genome. NIAGADS stands as a keystone in promoting collaborations to advance the understanding and treatment of Alzheimer's disease.

Symposium: What Does the Microbiome Tell Us about Prevention and Treatment of AD/ADRD?

Alzheimer's disease (AD) and Alzheimer's disease-related dementias (ADRDs) are broad-impact multifactorial neurodegenerative diseases. Their complexity presents unique challenges for developing effective therapies. This review highlights research presented at the 2024 Society for Neuroscience meeting which emphasized the gut microbiome's role in AD pathogenesis by influencing brain function and neurodegeneration through the microbiota-gut-brain axis. This emerging evidence underscores the potential for targeting the gut microbiota to treat AD/ADRD.

Stem extract from Costus afer (Bush cane) prevents ethanol-induced neuronal degeneration in mice via an antioxidant-inflammatory pathway

BackgroundExcessive alcohol consumption is associated with memory impairment and can lead to Alzheimer's disease-like dementia, contributing to the rising prevalence of dementia worldwide. Costus afer (Bush cane) is a medicinal plant widely used in traditional African medicine for its anti-inflammatory, antioxidant, and neuroprotective properties. It is commonly employed to treat various ailments, including inflammatory diseases, respiratory conditions, and gastrointestinal disorders. PurposeGiven its traditional use in the treatment of kyphosis (hunchback) which is implicated in cerebral palsy and degenerative disease of the spine, we explored its potential neuroprotective effects against ethanol-induced neuronal degeneration, in this research, we examined the potential protective impacts on memory and neurology afforded by the aqueous stem extract derived from C. afer in mice subjected to ethanol exposure. MethodsForty-five male Swiss mice weighing 22–35 g were divided into five groups (n = 9): control (treated with distilled water orally), memory-impaired (treated with ethanol at 5 g/kg orally), and three groups treated with ethanol followed by administration of C. afer at doses of 100 mg/kg, 200 mg/kg, and 500 mg/kg respectively. All animals were provided unrestricted access to both food and water throughout the duration of the study. Memory impairment was assessed after 28 days using the T-maze spontaneous alternation test. Subsequently, spectrophotometry, ELISA, and histomorphometry were employed to evaluate indicators of neuronal inflammation, oxidative stress linked to inflammation, and degenerative changes were assessed in the hippocampus, prefrontal cortex, and cerebellum. ResultsEthanol administration led to a notable (p < 0.01) decline in neurobehavioral function, as evidenced by reduced spontaneous alternation behavior, which was mitigated by C. afer treatment, leading to increased percentage alternation. Furthermore, ethanol administration altered endogenous antioxidant levels and pro-inflammatory mediators, resulting in elevated lipid peroxidation, nitrite, tumor necrosis factor-alpha, interleukin-6, and decreased superoxide dismutase activity, promoting neuronal degeneration in the mice brains. However, treatment with C. afer at doses of 100 mg/kg, 200 mg/kg, and 500 mg/kg substantially (p < 0.05) attenuated oxidoinflammatory stress by reducing levels of MDA, NO-2, TNF-α, IL-6, while upregulating SOD activity, thereby preserving neuronal integrity in the hippocampus, prefrontal cortex, and cerebellum. ConclusionThese findings suggest that C. afer mitigates the progression of memory impairment induced by ethanol through mechanisms involving the suppression of oxidoinflammatory stress facilitators and inhibition of cortico-hippocampal and cerebellar neuronal degeneration in murine subjects.

18F]PI-2620 Tau PET signal across the aging and Alzheimer’s disease clinical spectrum

Abstract [18F]PI-2620 is a second generation tracer that has shown high binding affinity for tau aggregation in Alzheimer’s disease (AD). However, [18F]PI-2620 signal in a large sample spanning the healthy aging and AD clinical spectrum as well as the stability of signal across different acquisition time windows have not yet been examined. Here, amyloid negative (Aβ-) cognitively unimpaired (CU; n=49), amyloid positive (Aβ+) CU (n=37), CU individuals with unknown amyloid status (n=5), mild cognitive impairment (MCI; n=14), dementia due to AD (n=19), and non-AD neurodegenerative disorder (n=54) participants were scanned with [18F]PI-2620 using a 45-75 min and/or 60-90 min acquisition time window. The impact of acquisition time on standardized uptake value ratio (SUVR) magnitude was first quantified with linear mixed models and in participants and regions with high [18F]PI-2620 signal, SUVRs increased linearly up to 0.04 SUVR with each additional 5 min past injection time. We then accounted for differences in acquisition time using a voxelwise correction approach and showed high correlations (all rs&amp;gt;0.986) between SUVRs calculated from 45-75 min data and SUVRs from 60-90 min data that were interpolated to the 45-75 min scale in 15 participants who were scanned across both time windows. Using real and interpolated 45-75 min data, we next examined [18F]PI-2620 signal in Braak regions of interest and an off-target binding region (putamen) in Aβ- and Aβ+ CU, Aβ+ MCI, and Aβ+ AD dementia (n=115) and showed that SUVRs in all Braak regions increased with greater disease severity. Within CU, higher Braak I SUVR was significantly associated with greater CSF pTau-181 (n=35), and higher SUVRs were significantly associated with worse memory and language (n=57). Thus, voxelwise acquisition time corrections can be applied to combine [18F]PI-2620 datasets collected at different post-injection times, and once acquisition time is accounted for, [18F]PI-2620 signal shows the expected increases across the AD spectrum and can be used for detection of early tau elevations.

Heparin treatment is associated with a delayed diagnosis of Alzheimer’s dementia in electronic health records from two large United States health systems

AbstractRecent studies suggest that heparan sulfate proteoglycans (HSPG) contribute to the predisposition to, protection from, and potential treatment and prevention of Alzheimer’s disease (AD). Here, we used electronic health records (EHR) from two different health systems to examine whether heparin therapy was associated with a delayed diagnosis of AD dementia. Longitudinal EHR data from 15,183 patients from the Mount Sinai Health System (MSHS) and 6207 patients from Columbia University Medical Center (CUMC) were used in separate survival analyses to compare those who did or did not receive heparin therapy, had a least 5 years of observation, were at least 65 years old by their last visit, and had subsequent diagnostic code or drug treatment evidence of possible AD dementia. Analyses controlled for age, sex, comorbidities, follow-up duration and number of inpatient visits. Heparin therapy was associated with significant delays in age of clinical diagnosis of AD dementia, including +1.0 years in the MSMS cohort (P &lt; 0.001) and +1.0 years in the CUMC cohort (P &lt; 0.001). While additional studies are needed, this study supports the potential roles of heparin-like drugs and HSPGs in the protection from and prevention of AD dementia.

Association of Vascular Risk Factors and Cerebrovascular Pathology With Alzheimer Disease Pathologic Changes in Individuals Without Dementia.

Vascular risk factors (VRFs) and cerebral small vessel disease (cSVD) are common in patients with Alzheimer disease (AD). It remains unclear whether this coexistence reflects shared risk factors or a mechanistic relationship and whether vascular and amyloid pathologies have independent or synergistic influence on subsequent AD pathophysiology in preclinical stages. We investigated links between VRFs, cSVD, and amyloid levels (Aβ1-42) and their combined effect on downstream AD biomarkers, that is, CSF hyperphosphorylated tau (P-tau181), atrophy, and cognition. This retrospective study included nondemented participants (Clinical Dementia Rating < 1) from the European Prevention of Alzheimer's Dementia (EPAD) cohort and assessed VRFs with the Framingham risk score (FRS) and cSVD features on MRI using visual scales and white matter hyperintensity volumes. After preliminary linear analysis, we used structural equation modeling (SEM) to create a "cSVD severity" latent variable and assess the direct and indirect effects of FRS and cSVD severity on Aβ1-42, P-tau181, gray matter volume (baseline and longitudinal), and cognitive performance (baseline and longitudinal). A total cohort of 1,592 participants were evaluated (mean age = 65.5 ± 7.4 years; 56.16% F). We observed positive associations between FRS and all cSVD features (all p < 0.05) and a negative association between FRS and Aβ1-42 (β = -0.04 ± 0.01). All cSVD features were negatively associated with CSF Aβ1-42 (all p < 0.05). Using SEM, the cSVD severity fully mediated the association between FRS and CSF Aβ1-42 (indirect effect: β = -0.03 ± 0.01), also when omitting vascular amyloid-related markers. We observed a significant indirect effect of cSVD severity on P-tau181 (indirect effect: β = 0.12 ± 0.03), baseline and longitudinal gray matter volume (indirect effect: β = -0.10 ± 0.03; β = -0.12 ± 0.05), and baseline cognitive performance (indirect effect: β = -0.16 ± 0.03) through CSF Aβ1-42. In a large nondemented population, our findings suggest that cSVD is a mediator of the relationship between VRFs and CSF Aβ1-42 and affects downstream neurodegeneration and cognitive impairment. We provide evidence of VRFs indirectly affecting the pathogenesis of AD, highlighting the importance of considering cSVD burden in memory clinics for AD risk evaluation and as an early window for intervention. These results stress the role of VRFs and cerebrovascular pathology as key biomarkers for accurate design of anti-amyloid clinical trials and offer new perspectives for patient stratification.

Impact of Polypharmacy on Symptoms and Health Outcomes in Older Adults With and Without Alzheimer's Disease and Related Dementias.

There is a critical gap in understanding the symptom experience and health outcomes of older adults with and without Alzheimer's Disease and related dementias (ADRD) and polypharmacy (PPY). The primary aim of the study was to compare the number of symptoms experienced over time in older adults with and without ADRD by polypharmacy status. The secondary aim was to examine the trajectory of physical function and health outcomes over time in each group. This study utilized longitudinal data from the National Health and Aging Trends Study, a nationally representative sample of Medicare beneficiaries from 2016-2019. The sample was separated into four groups (N = 2,052): neither ADRD or PPY (n = 1,048), PPY only (n = 761), ADRD only (n = 116), and both ADRD and PPY(n = 127). The overall sample was predominately female (57.9%), White (70.9%), aged 84 or younger (75%), married (46%), and had some college or a college degree (50%). Participants with both ADRD and PPY experienced more symptoms on average, had higher odds of falls, hospitalizations, and mortality than all other groups. Older adults with both ADRD and PPY had lower physical function, needed more assistance with activities of daily living and higher assistive device utilization compared to the other three groups. Findings indicate that older adults with both ADRD and PPY experience more symptoms, negative health outcomes and physical function decline that can negatively impact their quality of life. Further research is needed to identify strategies for reducing PPY in people with ADRD.

Identifying Gaps and Barriers in Alzheimer's Disease and Related Dementia Research and Management in Low- and Middle-Income Countries: A Survey of Health Professionals and Researchers.

The significant increase in Alzheimer's disease and related dementia prevalence is a global health crisis, acutely impacting low- and lower-middle and upper-middle-income countries (LLMICs/UMICs). The objective of this study is to identify key barriers and gaps in dementia care and research in LLMICs and UMICs. We conducted an international, cross-sectional survey among clinicians and healthcare professionals (n = 249 in 34 countries) across LLMICs and UMICs, exploring patient demographics, use of clinical diagnosis, dementia evaluation, screening/evaluation tools, and care and treatment. Significant disparities were found in diagnostic practices, access to assessments, and access to care. On average, clinicians in LLMICs saw more patients, had less time for evaluations, lower use of formal screening and tools, and less access to biomarkers. They were also under-resourced compared to UMICs. The findings provide insights for policymakers, healthcare organizations, and researchers to address the complex challenges associated with dementia care in diverse settings. Addressing these challenges requires a multipronged approach involving local, national, and international stakeholders.

Referral Sources Across Racial and Ethnic Groups at Alzheimer's Disease Research Centers.

Despite the need to increase engagement of underrepresented groups (URG) in Alzheimer's disease and related dementias (ADRD) studies, enrollment remains low. Compare referral sources across racial and ethnic groups among participants enrolled in ADRC studies. Data for this cross-sectional secondary analysis were extracted from the National Alzheimer's Coordinating Center Uniform Data Set. We performed mixed effects logistic regression models using generalized estimating equations for professional referral versus non-professional referral by racial and ethnic group, adjusted for age, gender, education, visit year, and Clinical Dementia Rating scale (CDR) with a random effect for study site. Included in the analysis were 48,330 participants across 46 ADRCs (mean [SD] age, 71.3 [10.5] years; 20,767 female [57%]; 4,138 Hispanic [8.6%]; 1,392 non-Hispanic Asian [2.9%]; 6,766 non-Hispanic Black [14%] individuals; and 676 individuals [1.4%] of other races. Non-Hispanic Black and Asian participants had lower odds of being referred by a professional contact compared to non-Hispanic White participants (Black: adjusted OR = 0.61, 95% CI = 0.44-0.86, p = 0.005; Asian: adjusted OR = 0.65, 95% CI, p = 0.004). In participants who had completed an MRI, there was no significant difference in referral source across ethnic and racial groups. Further studies are needed to better understand the systemic and structural factors that contribute to differences in referral sources and disparities in recruitment of URG into ADRD studies.

GWAS of multiple neuropathology endophenotypes identifies new risk loci and provides insights into the genetic risk of dementia.

Genome-wide association studies (GWAS) have identified >80 Alzheimer's disease and related dementias (ADRD)-associated genetic loci. However, the clinical outcomes used in most previous studies belie the complex nature of underlying neuropathologies. Here we performed GWAS on 11 ADRD-related neuropathology endophenotypes with participants drawn from the following three sources: the National Alzheimer's Coordinating Center, the Religious Orders Study and Rush Memory and Aging Project, and the Adult Changes in Thought study (n = 7,804 total autopsied participants). We identified eight independent significantly associated loci, of which four were new (COL4A1, PIK3R5, LZTS1 and APOC2). Separately testing known ADRD loci, 19 loci were significantly associated with at least one neuropathology after false-discovery rate adjustment. Genetic colocalization analyses identified pleiotropic effects and quantitative trait loci. Methylation in the cerebral cortex at two sites near APOC2 was associated with cerebral amyloid angiopathy. Studies that include neuropathology endophenotypes are an important step in understanding the mechanisms underlying genetic ADRD risk.