ArticleCurrent genomics2025
Bioinformatics Analysis of Lactylation-related Biomarkers and Potential Pathogenesis Mechanisms in Age-related Macular Degeneration.
Article in Current genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Predicting lower extremity deep vein thrombosis in elderly patients with hip fracture: A machine learning model with emphasis on diabetes as a key risk factor.Experimental and therapeutic medicine · 2026Article
- Identification and validation of novel candidate genes with diagnostic value for sepsis via weighted gene co-expression network analysis.Frontiers in medicine · 2026Article
- Predicting the efficacy of recombinant human thrombopoietin in treating cancer therapy-related thrombocytopenia: based on stacking ensemble methods.Frontiers in oncology · 2026Article
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4 authors.
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Abstract
Background: Lactylation is increasingly recognized to play a crucial role in human health and diseases. However, its involvement in age-related macular degeneration (AMD) remains largely unclear. Objectives: The aim of this study was to identify and characterize the pivotal lactylation-related genes and explore their underlying mechanism in AMD. Methods: Gene expression profiles of AMD patients and control individuals were obtained and integrated from the GSE29801 and GSE50195 datasets. Differentially expressed genes (DEGs) were screened and intersected with lactylation-related genes for lactylation-related DEGs. Machine learning algorithms were used to identify hub genes associated with AMD. Subsequently, the selected hub genes were subject to correlation analysis, and reverse transcription quantitative real-time PCR (RT-qPCR) was used to detect the expression of hub genes in AMD patients and healthy control individuals. Results: A total of 68 lactylation-related DEGs in AMD were identified, and seven genes, including Conclusion: We identified seven lactylation-related key genes potentially associated with the progression of AMD, which might deepen our understanding of the underlying mechanisms involved in AMD and provide clues for the targeted therapy.
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