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Background: Observational studies have identified a strong correlation between epilepsy and sleep traits, highlighting their interactive relationship. However, no studies have specifically examined the associations between sleep traits and epilepsy. In this context, we conducted a Mendelian Randomization (MR) investigation to explore the causal nature of these associations.
Methods: We performed a two-sample Mendelian Randomization (MR) analysis model to genetically predict the causal effects of morning chronotype on epilepsy. Five MR analysis methods were conducted to analyze the final results. The inverse-variance weighted (IVW) method was used as the primary outcome. The other MR analysis methods (MR-Egger; Weighted Mode; and Weighted median (WM)) were conducted as the complement to IVW. In addition, the robustness of the MR analysis results was assessed by leave-one-out analysis.
Results: In forward MR, epilepsy showed causal relationships with sleep duration (IVW beta = 0.008, P = 0.015). Specifically, doubling the odds of inheriting epilepsy may be associated with a 0.0075 standard deviation (SD) (95 % CI: 1.001 to 1.014) increase in sleep duration. In reverse MR, we found statistically significant associations between chronotype (evening preference) (OR = 1.397, p = 0.007) and insomnia (OR = 2.280, p = 0.025) and the risk of epilepsy.
Conclusion: Our two-sample Mendelian randomization analyses indicate that individuals with epilepsy frequently experience extended sleep duration. Additionally, we identified insomnia and chronotype (evening preference) as significant risk factors that increase the likelihood of developing epilepsy.
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http://dx.doi.org/10.1016/j.yebeh.2025.110310 | DOI Listing |
Protein Cell
August 2025
Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai 200433, China.
Cardiovascular disease (CVD) research is hindered by limited comprehensive analyses of plasma proteome across disease subtypes. Here, we systematically investigated the associations between plasma proteins and cardiovascular outcomes in 53,026 UK Biobank participants over a 14-year follow-up. Association analyses identified 3,089 significant associations involving 892 unique protein analytes across 13 CVD outcomes.
View Article and Find Full Text PDFHealth Sci Rep
September 2025
Department of Dermatology the Union Hospital, Fujian Medical University Fuzhou People's Republic of China.
Background And Aims: Several observational studies have reported inconsistent associations between dyslipidaemia, stains use and atopic dermatitis (AD). Nevertheless, the available data on the effects of -C-lowering as well as TG-lowering drugs remain inconclusive and limited. The aim of this study was to evaluate the causal association of lipid traits and long-term use of lipid-lowering drugs on AD risk.
View Article and Find Full Text PDFInt J Gen Med
September 2025
Department of Geriatrics, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, People's Republic of China.
Background: Sepsis is characterized by profound immune and metabolic perturbations, with glycolysis serving as a pivotal modulator of immune responses. However, the molecular mechanisms linking glycolytic reprogramming to immune dysfunction remain poorly defined.
Methods: Transcriptomic profiles of sepsis were obtained from the Gene Expression Omnibus.
Nat Sci Sleep
September 2025
Department of Respiratory Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Background: Recent research has increasingly underscored a significant correlation between gut microbiota and obstructive sleep apnea (OSA). Probiotics have emerged as promising adjunctive interventions for OSA. Metabolites and their related biochemical pathways have emerged as important contributors to the development of OSA.
View Article and Find Full Text PDFFront Microbiol
August 2025
Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Background: Increasing evidence suggests a potential role of the gut microbiota in Parkinson's disease (PD). However, the relationship between the gut microbiome (GM) and PD dementia (PDD) remains debated, with their causal effects and underlying mechanisms not yet fully understood.
Methods: Utilizing data from large-scale genome-wide association studies (GWASs), this study applied bidirectional and mediating Mendelian randomization (MR) to investigate the causal relationship and underlying mechanisms between the GM and PDD.