Essential Nutrients and White Matter Hyperintensities: A Two-Sample Mendelian Randomization Study.
Zhengrui WangKailin XiaJiayi LiYanru LiuYumou ZhouLinjing ZhangLu TangXiangzhu ZengDong-Sheng FanQiong YangPublished in: Biomedicines (2024)
Stroke and dementia have been linked to the appearance of white matter hyperintensities (WMHs). Meanwhile, diffusion tensor imaging (DTI) might capture the microstructural change in white matter early. Specific dietary interventions may help to reduce the risk of WMHs. However, research on the relationship between specific nutrients and white matter changes is still lacking. We aimed to investigate the causal effects of essential nutrients (amino acids, fatty acids, mineral elements, and vitamins) on WMHs and DTI measures, including fraction anisotropy (FA) and mean diffusivity (MD), by a Mendelian randomization analysis. We selected single nucleotide polymorphisms (SNPs) associated with each nutrient as instrumental variables to assess the causal effects of nutrient-related exposures on WMHs, FA, and MD. The outcome was from a recently published large-scale European Genome Wide Association Studies pooled dataset, including WMHs (N = 18,381), FA (N = 17,663), and MD (N = 17,467) data. We used the inverse variance weighting (IVW) method as the primary method, and sensitivity analyses were conducted using the simple median, weighted median, and MR-Egger methods. Genetically predicted serum calcium level was positively associated with WMHs risk, with an 8.1% increase in WMHs risk per standard deviation unit increase in calcium concentration (OR = 1.081, 95% CI = 1.006-1.161, p = 0.035). The plasma linoleic acid level was negatively associated with FA (OR = 0.776, 95% CI = 0.616-0.978, p = 0.032). Our study demonstrated that genetically predicted calcium was a potential risk factor for WMHs, and linoleic acid may be negatively associated with FA, providing evidence for interventions from the perspective of gene-environment interactions.
Keyphrases
- white matter
- multiple sclerosis
- genome wide association
- heavy metals
- fatty acid
- molecular dynamics
- magnetic resonance
- genome wide
- amino acid
- clinical trial
- mild cognitive impairment
- risk assessment
- randomized controlled trial
- contrast enhanced
- gene expression
- magnetic resonance imaging
- machine learning
- dna methylation
- air pollution
- systematic review
- copy number
- genome wide analysis