The Journal of Prevention of Alzheimer's Disease最新文献

{"title":"Herpes zoster and dementia risk.","authors":"Shih-Wei Lai, Kuan-Fu Liao","doi":"10.1016/j.tjpad.2025.100198","DOIUrl":"10.1016/j.tjpad.2025.100198","url":null,"abstract":"","PeriodicalId":22711,"journal":{"name":"The Journal of Prevention of Alzheimer's Disease","volume":" ","pages":"100198"},"PeriodicalIF":4.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144094827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Herpes zoster and dementia : more evidences for a causal link.","authors":"Jean-François Dartigues, Morgane Linard","doi":"10.1016/j.tjpad.2025.100201","DOIUrl":"10.1016/j.tjpad.2025.100201","url":null,"abstract":"","PeriodicalId":22711,"journal":{"name":"The Journal of Prevention of Alzheimer's Disease","volume":" ","pages":"100201"},"PeriodicalIF":4.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144094651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preventing Alzheimer's disease by correcting lifestyle factors?","authors":"Natalio Vita","doi":"10.1016/j.tjpad.2025.100212","DOIUrl":"10.1016/j.tjpad.2025.100212","url":null,"abstract":"","PeriodicalId":22711,"journal":{"name":"The Journal of Prevention of Alzheimer's Disease","volume":" ","pages":"100212"},"PeriodicalIF":4.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144249694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lifestyle and cognition: Separating the effects of average lifestyle and lifestyle changes based on the LIBRA score.","authors":"Kej Wesenhagen, K Deckers, Hsj Picavet, M L Rietman, Aal Kok, S Köhler, M A Ikram, F J Wolters, M Huisman, Wmm Verschuren","doi":"10.1016/j.tjpad.2025.100159","DOIUrl":"10.1016/j.tjpad.2025.100159","url":null,"abstract":"<p><strong>Background: </strong>The LIfestyle for BRAin Health (LIBRA) score, consisting of twelve factors, highlights individuals' potential for dementia risk reduction through lifestyle. The LIBRA score includes modifiable protective factors such as low to moderate alcohol consumption, and risk factors such as hypertension.</p><p><strong>Objective: </strong>We studied whether LIBRA scores are longitudinally associated with cognition, and to what extent this is due to between-person differences or within-person changes in LIBRA scores.</p><p><strong>Methods: </strong>Individuals were included from four Dutch community-based cohorts: Doetinchem Cohort Study (DCS; n = 4770), Maastricht Aging Study (MAAS; n = 1295), Longitudinal Aging Study Amsterdam (LASA; n = 2391) and the Rotterdam Study (RS; n = 5205). The number of available LIBRA components (range 7-11) and timepoints (range 3-9) differed per cohort. Outcomes were standardized processing speed (LDST), memory (15-word delayed recall of the verbal learning test (VLT)) and verbal fluency. Hybrid mixed models were fit for the association of 1) mean LIBRA score and 2) change in LIBRA between subsequent timepoints. Models were adjusted for age, sex, education and learning effects. Interactions of the mean LIBRA score with age, and change in LIBRA score with age were tested in two separate models.</p><p><strong>Results: </strong>Higher (i.e., unhealthier) mean LIBRA scores were associated with worse cognitive speed (lower LDST z-score per 1-point higher LIBRA, range between cohorts: 0.039 - 0.0587), memory (VLT, 0.026 - 0.035), and fluency (0.020 - 0.033). Associations of mean LIBRA scores with cognitive function were stronger with older age (LDST: significant age-interaction, 2 out of 4 cohorts; VLT and fluency: 1 out of 4 cohorts). Relative to 65-year-old individuals with a mean LIBRA score at the 50th percentile, individuals at the 90th percentile of the LIBRA score showed an estimated 1.9-3.2 years more advanced cognitive ageing for LDST, 1.9 - 5.3 years for VLT and 1.4 - 1.7 years for fluency. Within-person change in LIBRA showed no consistent associations with cognitive decline.</p><p><strong>Conclusions: </strong>An individual's mean LIBRA score, but not their change in LIBRA score over time, was longitudinally associated with cognitive functioning. In the general population, the investigated version of the LIBRA score is possibly not suitable to capture how cognition (as a proxy for dementia risk) changes with improvements in lifestyle.</p>","PeriodicalId":22711,"journal":{"name":"The Journal of Prevention of Alzheimer's Disease","volume":" ","pages":"100159"},"PeriodicalIF":4.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144039312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comment on \"Multi-omics analysis of druggable genes to facilitate Alzheimer's disease therapy: A multi-cohort machine learning study\".","authors":"Jihao Xue, Yitian Chen, Ligang Chen, Qijia Yin","doi":"10.1016/j.tjpad.2025.100251","DOIUrl":"10.1016/j.tjpad.2025.100251","url":null,"abstract":"","PeriodicalId":22711,"journal":{"name":"The Journal of Prevention of Alzheimer's Disease","volume":" ","pages":"100251"},"PeriodicalIF":4.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144337108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-omics analysis of druggable genes to facilitate Alzheimer's disease therapy: A multi-cohort machine learning study.","authors":"Jichang Hu, Yong Luo, Xiaochuan Wang","doi":"10.1016/j.tjpad.2025.100128","DOIUrl":"10.1016/j.tjpad.2025.100128","url":null,"abstract":"<p><strong>Background: </strong>The swift rise in the prevalence of Alzheimer's disease (AD) alongside its significant societal and economic impact has created a pressing demand for effective interventions and treatments. However, there are no available treatments that can modify the progression of the disease.</p><p><strong>Methods: </strong>Eight AD brain tissues datasets and three blood datasets were obtained. Consensus clustering was utilized as a method to discern the various subtypes of AD. Then, module genes were screened using weighted correlation network analysis (WGCNA). Furthermore, screening hub genes was conducted through machine-learning analyses. Finally, A comprehensive analysis using a systematic approach to druggable genome-wide Mendelian randomization (MR) was conducted.</p><p><strong>Results: </strong>Two AD subclasses were identified, namely cluster.A and cluster.B. The levels of gamma secretase activity, beta secretase activity, and amyloid-beta 42 were found to be significantly elevated in patients classified within cluster A when compared to those in cluster B. Furthermore, by utilizing the differentially expressed genes shared among these clusters, along with identifying druggable genes and applying WGCNA to these subtypes, we were able to develop a scoring system referred to as DG.score. This scoring system has demonstrated remarkable predictive capability for AD when evaluated against multiple datasets. Besides, A total of 30 distinct genes that may serve as potential drug targets for AD were identified across at least one of the datasets investigated, whether derived from brain samples or blood analyses. Among the identified genes, three specific candidates that are considered druggable (LIMK2, MAPK8, and NDUFV2) demonstrated significant expression levels in both blood and brain tissues. Furthermore, our research also revealed a potential association between the levels of LIMK2 and concentrations of CSF Aβ (OR 1.526 (1.155-2.018)), CSF p-tau (OR 1.106 (1.024-01.196)), and hippocampal size (OR 0.831 (0.702-0.948)).</p><p><strong>Conclusions: </strong>This study provides a notable advancement to the existing literature by offering genetic evidence that underscores the potential therapeutic advantages of focusing on the druggable gene LIMK2 in the treatment of AD. This insight not only contributes to our understanding of AD but also guides future drug discovery efforts.</p>","PeriodicalId":22711,"journal":{"name":"The Journal of Prevention of Alzheimer's Disease","volume":" ","pages":"100128"},"PeriodicalIF":4.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143617163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Latent cognitive profiles and their associations with instrumental activities of daily living among older adults without dementia: A United States national cross-sectional study.","authors":"Jiaying Li, Sarah L Szanton, Junxin Li","doi":"10.1016/j.tjpad.2025.100162","DOIUrl":"10.1016/j.tjpad.2025.100162","url":null,"abstract":"<p><strong>Background: </strong>Conventional dichotomous classifications of cognitive status in older adults (normal vs impaired) may obscure distinct domain-specific deficits. Identifying nuanced cognitive profiles could enable personalized interventions, particularly when tailored to instrumental activities of daily living (IADLs).</p><p><strong>Objectives: </strong>To identify distinct cognitive profiles in older adults without dementia and assess their associations with overall and domain-specific IADL performance.</p><p><strong>Design/setting/participants: </strong>Cross-sectional data from 2219 adults aged ≥65 years without dementia in the nationally representative National Health and Aging Trends Study.</p><p><strong>Measurements: </strong>Latent profile analysis classified participants across six cognitive domains: episodic memory, executive function, orientation, psychomotor function, visual attention, and working memory. Logistic and linear regression models with Holm-Bonferroni corrections evaluated relationships between cognitive profiles and IADL performance.</p><p><strong>Results: </strong>Five profiles emerged: Profile 1: Overall intact (50.5 % of participants); Profile 2: Isolated moderate orientation impairment (15.6 %); Profile 3: Mild global impairment with preserved orientation (22.0 %); Profile 4: Mild global impairment with significant orientation impairment (5.5 %); Profile 5: Moderate global impairment (6.2 %). Compared with Profile 1, all other profiles exhibited significantly higher overall IADL difficulty and were more likely to experience challenges with shopping, medication management, meal preparation, and banking (all adjusted p < 0.05). Profile 4 had the highest odds for difficulties with shopping (OR, 2.19; 95 % CI, 1.41-3.38; adjusted p = 0.005) and banking (OR, 3.98; 95 % CI, 2.62-6.04; adjusted p < 0.001), whereas Profile 5 showed the greatest risk for medication management (OR, 2.55; 95 % CI, 1.66-3.90; adjusted p < 0.001) and meal preparation (OR, 2.22; 95 % CI, 1.49-3.31; adjusted p = 0.001).</p><p><strong>Conclusion: </strong>Nearly half of older adults without dementia exhibit distinct cognitive profiles warranting tailored interventions. Profile 5 requires comprehensive strategies, whereas Profiles 2, 3, and 4 may benefit from orientation-targeted and intensity-varied training in other cognition domain. Incorporating specific IADL tasks (e.g., meal preparation, medication management for Profile 5 and shopping, banking for Profile 4) into cognitive interventions may concurrently enhance cognitive health and functional independence.</p>","PeriodicalId":22711,"journal":{"name":"The Journal of Prevention of Alzheimer's Disease","volume":" ","pages":"100162"},"PeriodicalIF":4.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143987205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Challenges and opportunities for novel combination therapies in Alzheimer's disease: a report from the EU/US CTAD Task Force.","authors":"D Angioni, L Middleton, R Bateman, P Aisen, A Boxer, S Sha, J Zhou, I Gerlach, R Raman, H Fillit, S Salloway, R Sperling, B Vellas, J Cummings","doi":"10.1016/j.tjpad.2025.100163","DOIUrl":"10.1016/j.tjpad.2025.100163","url":null,"abstract":"<p><p>Following the recent approvals of anti-amyloid immunotherapies as \"first-in-kind\" disease-modifying agents for Alzheimer's disease (AD), there is an emerging emphasis in combination therapies, given the complex and multifactorial etiopathogenesis and pathophysiology of the disease. The EU/US CTAD Task Force met in Madrid in October 2024, to discuss biological rationale and methodological issues and outline potential directions for future research in combination therapies. The Task Force agreed on the necessity and urgency of advancing combination therapies for AD treatment. As of January 1, 2024, in the drug development pipeline, there were 21 combination trials (13 % of all trials). The combination of anti-amyloid and anti-tau therapies could become a central focus of the field. Combinations involving anti-inflammatory and immune mechanisms with anti-amyloid or other therapies also have promise. To facilitate the development and implementation of combination therapies, collaborations between sponsors and public-private partnerships are essential. Optimizing the likelihood of success primarily requires leveraging the use of biomarkers and a clearer understanding of the biological mechanisms underpinning AD and their interactions, especially those involving amyloid, tau, and inflammation, that lead to cognitive decline and progression.</p>","PeriodicalId":22711,"journal":{"name":"The Journal of Prevention of Alzheimer's Disease","volume":" ","pages":"100163"},"PeriodicalIF":4.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144047374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Brain health PRO/Santé cerveau PRO: The development of a web-based program for dementia literacy and risk factor reduction.","authors":"Sylvie Belleville, Nicole D Anderson, Louis Bherer, Richard Camicioli, Julie Carrier, Senny Chan, Marc Cuesta, Thien Thanh Dang-Vu, Emily Dwosh, Alexandra J Fiocco, Guylaine Ferland, Brigitte Gilbert, Elaine Harris, Inbal Itzhak, Pamela Jarrett, Mohamed Abdelhafid Kadri, Danielle Laurin, Teresa Liu-Ambrose, Chris A McGibbon, Laura Middleton, Lesley Miller, Haakon B Nygaard, Manuel Montero-Odasso, Kelly Murphy, Natalie Phillips, M Kathleen Pichora-Fuller, Julie M Robillard, Eric E Smith, Mark Speechley, Amal Trigui, Walter Wittich, Howard Chertkow, Howard H Feldman","doi":"10.1016/j.tjpad.2025.100134","DOIUrl":"10.1016/j.tjpad.2025.100134","url":null,"abstract":"<p><strong>Background: </strong>Online educational programs focused on ways to improve brain health could increase participant literacy, empowerment, and engagement in activities that support personal brain health, potentially reducing dementia risk.</p><p><strong>Objectives: </strong>Our goal was to develop an evidence-based online educational program with a focus on risk and protective factors for dementia. Here we present the rationale and features of the program and include results from a pilot study that assessed usability and acceptability.</p><p><strong>Design: </strong>This project is part of the Can-Thumbs UP (CTU) initiative. An Intervention Mapping Approach framework and co-construction approach was used to develop the online program. A pre-post pilot open label design was used to test the usability and acceptance of this at-home educational program.</p><p><strong>Setting: </strong>The program and assessment for the pilot study were delivered fully remotely.</p><p><strong>Participants: </strong>Twenty community-dwelling older adults (60-83 years of age, 65 % female) living in Canada who were at increased risk of dementia.</p><p><strong>Program: </strong>The Brain Health PRO/Santé Cerveau PRO is a web-based 45-week program available in French and English. It provides general information and guidance on seven modifiable risk factors for dementia: physical activity, nutrition, cognitively stimulating activities, sleep, social and psychological health, vascular health, and vision/hearing. After completing a brief intake questionnaire, users are provided with an individualized risk profile to personalize priorities and goals. During the course of the program, users receive feedback on lifestyle changes. For this pilot study, participants completed a 15-week version of the program.</p><p><strong>Measurements: </strong>This pilot study reports measures of usability (System Usability Scale), acceptance (Technology Acceptance Model-2) as well as risk profiles at intake based on self-reported questionnaires.</p><p><strong>Results: </strong>Two logic models were developed to identify the determinants of risk for dementia and how these could be targeted by the program. A review of dementia risk and protective factors and online educational programs for older adults, as well as co-creation activities with experts, stakeholders, and citizen advisors, were used to identify the determinants, target, format, and content of the program. The pilot study reports excellent usability and acceptance with scores of 80.4/100 and 93.5/120 respectively.</p><p><strong>Conclusion: </strong>Intervention mapping and co-construction approaches facilitated the design of a program that effectively balances the delivery of scientific content with the specific constraints, needs and abilities of older adults.</p><p><strong>Trial registration: </strong>NCT05347966.</p>","PeriodicalId":22711,"journal":{"name":"The Journal of Prevention of Alzheimer's Disease","volume":" ","pages":"100134"},"PeriodicalIF":4.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143639822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lifestyle factors and plasma biomarkers of Alzheimer's disease: A narrative review.","authors":"Claudie Hooper, Nicola Coley, Julien Delrieu, Sophie Guyonnet","doi":"10.1016/j.tjpad.2025.100130","DOIUrl":"10.1016/j.tjpad.2025.100130","url":null,"abstract":"<p><p>Alzheimer's disease (AD) is a neurodegenerative disorder characterised by amyloid-β (Aβ), tau hyperphosphorylation and neurodegeneration. Blood-based biomarkers are emerging as a minimally invasive tool for disease detection and monitoring. This review depicts the relationships between modifiable lifestyle factors (nutrition, physical activity (PA), sleep, alcohol consumption, smoking, and social isolation) and plasma biomarkers of AD: Aβ₄₂, Aβ₄₀, Aβ_42/40, phosphorylated tau, total tau, neurofilament light chain (NfL) and glial fibrillary acidic protein. Limited evidence suggests that better nutrition is associated with favourable AD plasma biomarker profiles and that PA is associated with less plasma NfL and Aβ, whilst poor sleep is associated with elevated plasma Aβ. However, lack of data and inconsistent findings highlight the need for further investigation to substantiate or refute these trends. Moreover, future research should include the analysis of lifestyle on plasma biomarkers according to gender, metabolic health and APOE status. Considering the growing emphasis on modifiable lifestyle factors for preventing and delaying dementia onset further investigation is justified.</p>","PeriodicalId":22711,"journal":{"name":"The Journal of Prevention of Alzheimer's Disease","volume":" ","pages":"100130"},"PeriodicalIF":4.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143626192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}