Abstract
Background: Late-onset Alzheimer’s disease (LOAD) represents a growing health burden. Previous studies suggest that blood metabolite levels influence risk of LOAD. Objective: We used a genetics-based study design which may overcome limitations of other epidemiological studies to assess the influence of metabolite levels on LOAD risk. Methods: We applied Mendelian randomization (MR) to evaluate bi-directional causal effects using summary statistics from the largest genome-wide association studies (GWAS) of 249 blood metabolites (n = 115,082) and GWAS of LOAD (ncase = 21,982, ncontrol = 41,944). Results: MR analysis of metabolites as exposures revealed a negative association of genetically-predicted glutamine levels with LOAD (Odds Ratio (OR) = 0.83, 95%CI = 0.73, 0.92) that was consistent in multiple sensitivity analyses. We also identified a positive association of genetically-predicted free cholesterol levels in small LDL (OR = 1.79, 95%CI = 1.36, 2.22) on LOAD. Using genetically-predicted LOAD as the exposure, we identified associations with phospholipids to total lipids ratio in large LDL (OR = 0.96, 95%CI = 0.94, 0.98), but not with glutamine, suggesting that the relationship between glutamine and LOAD is unidirectional. Conclusions: Our findings support previous evidence that higher circulating levels of glutamine may be a target for protection against LOAD.
Original language | English (US) |
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Pages (from-to) | 1069-1078 |
Number of pages | 10 |
Journal | Journal of Alzheimer's Disease |
Volume | 98 |
Issue number | 3 |
DOIs | |
State | Published - Apr 2 2024 |
Keywords
- Alzheimer’s disease
- Mendelian randomization
- glutamine
- metabolites
ASJC Scopus subject areas
- General Neuroscience
- Clinical Psychology
- Geriatrics and Gerontology
- Psychiatry and Mental health