{"title":"Circulating Inflammatory Proteins and Age-related Macular Degeneration: New Insights from Mendelian Randomization.","authors":"Yujin Guo, Jing Zhao, Zhiqing Chen","doi":"10.2174/0113862073373085250418113858","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Inflammation is a key mechanism underlying age-related macular degeneration (AMD); however, the specific circulating inflammatory proteins involved remain unclear. This study investigated the causal relationship between 91 circulating inflammatory proteins and AMD using a two-sample Mendelian randomization (MR) approach.</p><p><strong>Methods: </strong>We conducted a two-sample magnetic resonance imaging MR analysis using genomewide association study (GWAS) data. Five MR methodologies were applied, with inverse variance weighting (IVW) as the primary approach. We applied false discovery rate (FDR) correction to mitigate false positives. Sensitivity analyses were performed to assess horizontal pleiotropy and heterogeneity. Additionally, Steiger's test, reverse MR analysis, and linkage disequilibrium score regression (LDSC) were used to validate the results.</p><p><strong>Results: </strong>Five inflammatory proteins demonstrated significant associations with overall AMD, including three associated with wet AMD and one associated with dry AMD. LDSC analysis indicated that, except for fibroblast growth factor-19, no genetic correlation confounded the causal relationships. Additionally, the expression of the identified proteins was unaffected by the genetic prediction of AMD.</p><p><strong>Conclusion: </strong>This study highlights the causal relationship between specific inflammatory proteins and AMD, emphasizing their potential roles in AMD pathogenesis and potential therapeutic targets.</p>","PeriodicalId":10491,"journal":{"name":"Combinatorial chemistry & high throughput screening","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Combinatorial chemistry & high throughput screening","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2174/0113862073373085250418113858","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Inflammation is a key mechanism underlying age-related macular degeneration (AMD); however, the specific circulating inflammatory proteins involved remain unclear. This study investigated the causal relationship between 91 circulating inflammatory proteins and AMD using a two-sample Mendelian randomization (MR) approach.
Methods: We conducted a two-sample magnetic resonance imaging MR analysis using genomewide association study (GWAS) data. Five MR methodologies were applied, with inverse variance weighting (IVW) as the primary approach. We applied false discovery rate (FDR) correction to mitigate false positives. Sensitivity analyses were performed to assess horizontal pleiotropy and heterogeneity. Additionally, Steiger's test, reverse MR analysis, and linkage disequilibrium score regression (LDSC) were used to validate the results.
Results: Five inflammatory proteins demonstrated significant associations with overall AMD, including three associated with wet AMD and one associated with dry AMD. LDSC analysis indicated that, except for fibroblast growth factor-19, no genetic correlation confounded the causal relationships. Additionally, the expression of the identified proteins was unaffected by the genetic prediction of AMD.
Conclusion: This study highlights the causal relationship between specific inflammatory proteins and AMD, emphasizing their potential roles in AMD pathogenesis and potential therapeutic targets.
期刊介绍:
Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal:
Target identification and validation
Assay design, development, miniaturization and comparison
High throughput/high content/in silico screening and associated technologies
Label-free detection technologies and applications
Stem cell technologies
Biomarkers
ADMET/PK/PD methodologies and screening
Probe discovery and development, hit to lead optimization
Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries)
Chemical library design and chemical diversity
Chemo/bio-informatics, data mining
Compound management
Pharmacognosy
Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products)
Natural Product Analytical Studies
Bipharmaceutical studies of Natural products
Drug repurposing
Data management and statistical analysis
Laboratory automation, robotics, microfluidics, signal detection technologies
Current & Future Institutional Research Profile
Technology transfer, legal and licensing issues
Patents.