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Aim: To use two-sample Mendelian randomization (MR) method to study uveitis causal association with wet age-related macular degeneration (wAMD) risk from the genetic level.
Methods: Two-sample MR analysis was used to assess the causal role of uveitis on wAMD risk, using the 8 genetic variants associated strongly with uveitis as instrumental variables. Besides, eight MR methods [inverse variance weighted (IVW), weighted median, MR-Egger regression, weighted mode, simple mode, robust adjusted profile score (RAPS), contamination inverse-variance weighted method, and debiased inverse-variance weighted method] were used to get the whole causal estimate for multiple instrumental single nucleotide polymorphism (SNPs). The MR analysis was based on Europeans.
Results: Uveitis was related to a higher risk of wAMD [odds ratio (OR): 1.08, 95% confidence interval (CI) 1.03-1.12; =1.03×10] with the IVW method. No heterogeneity and directional pleiotropy were detected. On the contrary, no significant results were detected in reverse MR analysis.
Conclusion: Uveitis is related to an increased risk of wAMD. Due to the high blindness rate of wAMD, understanding and controlling the risk factors of AMD is of great significance for reducing its incidence and early diagnosis and treatment.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12311447 | PMC |
http://dx.doi.org/10.18240/ijo.2025.08.09 | 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.