Bioinformatics Analysis of Lactylation-related Biomarkers and Potential Pathogenesis Mechanisms in Age-Related Macular Degeneration

• Published in: Current genomics Vol. 26; no. 3; pp. 191 - 209
• Main Authors: Gui, Chenwei, Gao, Yan, Zhang, Rong, Zhou, Guohong
• Format: Journal Article
• Language: English
• Published: United Arab Emirates Bentham Science Publishers 01.01.2025; Benham Science Publishers
• Subjects: Age; Age related diseases; Bioinformatics; Biomarkers; Correlation analysis; Eye diseases; Gene expression; Genes; Life Sciences, Genetics & Genomics, Genetics & Heredity; Machine learning; Macular degeneration; Pathogenesis; Real time; Reverse transcription; immune infiltration; hub genes; machine learning; Age-related macular degeneration; lactylation; bioinformatics
• ISSN: 1389-2029; 1875-5488
• DOI: 10.2174/0113892029291661241114055924

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 HMGN2, TOP2B, HNRNPH1, SF3A1, SRRM2, HIST1H1C, and HIST1H2BD were selected as key genes. RT-qPCR analysis validated that all 7 key genes were down-regulated in AMD patients. 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.