Background: Emerging data suggests the neuroprotective and anti-neuroinflammatory effects of glucosamine. We aimed to examine the association between regular glucosamine use and risk of incident dementia, including dementia subtypes.
Methods: We conducted large-scale observational and two-sample Mendelian randomization (MR) analyses. Participants in UK Biobank having accessible data for dementia incidence and who did not have dementia at baseline were included in the prospective cohort. Through the Cox proportional hazard model, we examined the risks of incident all-cause dementia, Alzheimer's disease (AD), and vascular dementia among glucosamine users and non-users. To further test the causal association between glucosamine use and dementia, we conducted a 2-sample MR utilizing summary statistics from genome-wide association studies (GWAS). The GWAS data were obtained from observational cohort participants of mostly European ancestry.
Results: During a median follow-up of 8.9 years, there were 2458 cases of all-cause dementia, 924 cases of AD, and 491 cases of vascular dementia. In multivariable analysis, the hazard ratios (HR) of glucosamine users for all-cause dementia, AD, and vascular dementia were 0.84 (95% CI 0.75-0.93), 0.83 (95% CI 0.71-0.98), and 0.74 (95% CI 0.58-0.95), respectively. The inverse associations between glucosamine use and AD appeared to be stronger among participants aged below 60 years than those aged above 60 years (p = 0.04 for interaction). The APOE genotype did not modify this association (p > 0.05 for interaction). Single-variable MR suggested a causal relationship between glucosamine use and lower dementia risk. Multivariable MR showed that taking glucosamine continued to protect against dementia after controlling for vitamin, chondroitin supplement use and osteoarthritis (all-cause dementia HR 0.88, 95% CI 0.81-0.95; AD HR 0.78, 95% CI 0.72-0.85; vascular dementia HR 0.73, 95% CI 0.57-0.94). Single and multivariable inverse variance weighted (MV-IVW) and MR-Egger sensitivity analyses produced similar results for these estimations.
Conclusions: The findings of this large-scale cohort and MR analysis provide evidence for potential causal associations between the glucosamine use and lower risk for dementia. These findings require further validation through randomized controlled trials.
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http://dx.doi.org/10.1186/s12916-023-02816-8 | DOI Listing |
Brain Behav Immun Health
February 2025
Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Objective: To determine whether a panel of immune markers adds significant information to known correlates of risk of dementia and cognitive impairment.
Background: The impact of immune mechanisms on dementia risk is incompletely characterized.
Design/methods: A subsample of the Northern Manhattan Study, a prospective cohort study in the racially/ethnically diverse population of New York City, underwent comprehensive neuropsychological testing up to three times, at approximately 5-year intervals.
Background: The number of individuals living alone with dementia is increasing throughout the world, and they have unique needs that are poorly understood. The aim of this integrative review was to understand the characteristics, needs, and perspectives of individuals living alone with dementia as well as the available community resources to guide future research and clinical practice.
Methods: Electronic (PubMed, CINAHL, and PsycINFO) and manual searches were utilized to identify articles using MeSH terms.
Front Nutr
January 2025
College of Food Science and Technology, Yunan Agricultural University, Kunming, China.
Diabetic cognitive dysfunction is one of the important comorbidities and complications of diabetes, which is mainly manifested by loss of learning ability and memory, behavioural disorders, and may even develop into dementia. While traditional anti-diabetic medications are effective in improving cognition and memory, long-term use of these medications can be accompanied by undesirable side effects. Therefore, there is an urgent need to find safe and effective alternative therapies.
View Article and Find Full Text PDFIntroduction: Artificial intelligence and neuroimaging enable accurate dementia prediction, but 'black box' models can be difficult to trust. Explainable artificial intelligence (XAI) describes techniques to understand model behaviour and the influence of features, however deciding which method is most appropriate is non-trivial. Vision transformers (ViT) have also gained popularity, providing a self-explainable, alternative to traditional convolutional neural networks (CNN).
View Article and Find Full Text PDFObjective: Skeletal muscle fat infiltration (myosteatosis) increases with age and is an emerging risk factor for dementia. We aimed to determine the association between myosteatosis and cognitive decline among middle-aged White and Black Americans.
Methods: Data were on men (n=1,080; 41.
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