Exploring cognitive and biological correlates of sleep quality and their potential links with Alzheimer's disease (ALFASleep project): protocol for an observational study

Methotrexate and the Risk of Dementia: A Two-Sample Mendelian Randomization Study

INTRODUCTION

Recent studies have suggested a potential association between methotrexate use and an increased risk of dementia. However, the causal relationship between methotrexate and dementia remains unclear. This study aims to investigate the potential causal effect of methotrexate use on the risk of dementia using a two-sample Mendelian randomization (TSMR) approach.

METHODS

We conducted a TSMR study using summary statistics from genome-wide association studies (GWAS) of methotrexate use and dementia. We obtained genetic instruments for methotrexate use from a large-scale GWAS meta-analysis and genetic instruments for dementia from a separate GWAS meta-analysis. We performed several statistical analyses, including inverse-variance weighted (IVW), weighted median (WM1), weighted mode (WM2), and MR-Egger regression methods, to estimate the causal effect of methotrexate on dementia risk.

RESULTS

Our TSMR analysis showed a significant positive association between genetic predisposition to methotrexate use and dementia risk. The IVW method estimated a causal odds ratio (OR) of 0.476 [95% confidence interval (CI) 0.362-0.626] per unit increase in the log odds ratio of methotrexate use. WM1, WM2, and MR-Egger methods provided consistent results.

CONCLUSION

The findings of this mendelian randomization (MR) study suggest a potential causal effect of methotrexate use on the risk of dementia. However, further research is needed to validate these findings and explore the underlying mechanisms. Since methotrexate is widely prescribed for various autoimmune diseases, a better understanding of its potential impact on dementia risk is crucial for optimizing treatment strategies and addressing potential adverse effects.

Sleep-related regions in neurodegenerative diseases by central nervous system localization using magnetic resonance imaging

Sleep disruptions associated with neurodegenerative diseases (NDDs) damage the brain's sleep-regulating regions. Advanced magnetic resonance imaging (MRI) techniques can characterize the signature of each neurodegenerative pathology. We performed an evaluation of sleep-related regions in NDDs using MRI to localize the central nervous system (CNS). In the initial search, 61 related papers were discovered using predetermined inclusion and exclusion criteria. Finally, 30 articles were included in this study. The study included patients with Parkinson's disease (PD), Alzheimer's disease (AD), multiple sclerosis (MS), rapid eye movement (REM) sleep behavior disorder (RBD), idiopathic RBD (iRBD), amyotrophic lateral sclerosis (ALS), and mild cognitive impairment (MCI). Sleep-related regions recognized by CNS localization in NDDs can be linked to important regions. MRI also revealed cortical thinning, GM atrophy, WM, and tract loss, changes in diffusion tensor imaging (DTI) biomarkers (fractional anisotropy (FA), axial diffusivity (Da), and radial diffusivity (Dr)), a decrease in DMN connectivity, a reduction in functional connectivity (FC), and amplitude of low-frequency fluctuation (ALFF) alterations. Sleep plays an important role in predicting future risks for the development of NDDs. Other neuroimaging, cognitive-behavioral, and clinical research can use the information found in this research about the brain regions, MRI biomarker changes, and their relationships.