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Common Genes Involved in Autophagy, Cellular Senescence and the Inflammatory Response in AMD and Drug Discovery Identified via Biomedical Databases
PURPOSE: Retinal pigment epithelial cell autophagy dysfunction, cellular senescence, and the retinal inflammatory response are key pathogenic factors in age-related macular degeneration (AMD), which has been reviewed in our previously work in 2019. This study aims to identify genes collectively invo...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7804500/ https://www.ncbi.nlm.nih.gov/pubmed/33510953 http://dx.doi.org/10.1167/tvst.10.1.14 |
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author | Wang, Shoubi Liu, Chengxiu Ouyang, Weijie Liu, Ying Li, Chaoyang Cheng, Yaqi Su, Yaru Liu, Chang Yang, Liu Liu, Yurun Wang, Zhichong |
author_facet | Wang, Shoubi Liu, Chengxiu Ouyang, Weijie Liu, Ying Li, Chaoyang Cheng, Yaqi Su, Yaru Liu, Chang Yang, Liu Liu, Yurun Wang, Zhichong |
author_sort | Wang, Shoubi |
collection | PubMed |
description | PURPOSE: Retinal pigment epithelial cell autophagy dysfunction, cellular senescence, and the retinal inflammatory response are key pathogenic factors in age-related macular degeneration (AMD), which has been reviewed in our previously work in 2019. This study aims to identify genes collectively involved in these three biological processes and target drugs in AMD. METHODS: The pubmed2ensembl database was used to perform text mining. The GeneCodis database was applied to analyze gene ontology biological process and the KEGG pathway. The STRING database was used to analyze protein–protein interaction analysis and hub genes were identified by the Cytoscape software. The Drug Gene Interaction Database was used to perform drug–gene interactions. RESULTS: We identified 62 genes collectively involved in AMD, autophagy, cellular senescence, and inflammatory response, 19 biological processes including 42 genes, 11 enriched KEGG pathways including 37 genes, and 12 hub genes step by step via the above biomedical databases. Finally, five hub genes (IL-6, VEGF-A, TP53, IL-1β, and transforming growth factor [TGF]-β1) and their specific interaction modes were identified, corresponding with 24 target drugs with therapeutic potential for AMD. CONCLUSIONS: IL-6, VEGF-A, TP53, IL-1β, and TGF-β1 are pivotal in autophagy, cellular senescence, and the inflammatory response in AMD, corresponding with 24 drugs with therapeutic potential for AMD, providing definite molecular mechanisms for further research and new possibilities for AMD treatment in the future. TRANSLATIONAL RELEVANCE: IL-6, VEGF-A, TP53, IL-1β, and TGF-β1 may be new targets for AMD gene therapy and drug development. |
format | Online Article Text |
id | pubmed-7804500 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Association for Research in Vision and Ophthalmology |
record_format | MEDLINE/PubMed |
spelling | pubmed-78045002021-01-27 Common Genes Involved in Autophagy, Cellular Senescence and the Inflammatory Response in AMD and Drug Discovery Identified via Biomedical Databases Wang, Shoubi Liu, Chengxiu Ouyang, Weijie Liu, Ying Li, Chaoyang Cheng, Yaqi Su, Yaru Liu, Chang Yang, Liu Liu, Yurun Wang, Zhichong Transl Vis Sci Technol Article PURPOSE: Retinal pigment epithelial cell autophagy dysfunction, cellular senescence, and the retinal inflammatory response are key pathogenic factors in age-related macular degeneration (AMD), which has been reviewed in our previously work in 2019. This study aims to identify genes collectively involved in these three biological processes and target drugs in AMD. METHODS: The pubmed2ensembl database was used to perform text mining. The GeneCodis database was applied to analyze gene ontology biological process and the KEGG pathway. The STRING database was used to analyze protein–protein interaction analysis and hub genes were identified by the Cytoscape software. The Drug Gene Interaction Database was used to perform drug–gene interactions. RESULTS: We identified 62 genes collectively involved in AMD, autophagy, cellular senescence, and inflammatory response, 19 biological processes including 42 genes, 11 enriched KEGG pathways including 37 genes, and 12 hub genes step by step via the above biomedical databases. Finally, five hub genes (IL-6, VEGF-A, TP53, IL-1β, and transforming growth factor [TGF]-β1) and their specific interaction modes were identified, corresponding with 24 target drugs with therapeutic potential for AMD. CONCLUSIONS: IL-6, VEGF-A, TP53, IL-1β, and TGF-β1 are pivotal in autophagy, cellular senescence, and the inflammatory response in AMD, corresponding with 24 drugs with therapeutic potential for AMD, providing definite molecular mechanisms for further research and new possibilities for AMD treatment in the future. TRANSLATIONAL RELEVANCE: IL-6, VEGF-A, TP53, IL-1β, and TGF-β1 may be new targets for AMD gene therapy and drug development. The Association for Research in Vision and Ophthalmology 2021-01-08 /pmc/articles/PMC7804500/ /pubmed/33510953 http://dx.doi.org/10.1167/tvst.10.1.14 Text en Copyright 2021 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. |
spellingShingle | Article Wang, Shoubi Liu, Chengxiu Ouyang, Weijie Liu, Ying Li, Chaoyang Cheng, Yaqi Su, Yaru Liu, Chang Yang, Liu Liu, Yurun Wang, Zhichong Common Genes Involved in Autophagy, Cellular Senescence and the Inflammatory Response in AMD and Drug Discovery Identified via Biomedical Databases |
title | Common Genes Involved in Autophagy, Cellular Senescence and the Inflammatory Response in AMD and Drug Discovery Identified via Biomedical Databases |
title_full | Common Genes Involved in Autophagy, Cellular Senescence and the Inflammatory Response in AMD and Drug Discovery Identified via Biomedical Databases |
title_fullStr | Common Genes Involved in Autophagy, Cellular Senescence and the Inflammatory Response in AMD and Drug Discovery Identified via Biomedical Databases |
title_full_unstemmed | Common Genes Involved in Autophagy, Cellular Senescence and the Inflammatory Response in AMD and Drug Discovery Identified via Biomedical Databases |
title_short | Common Genes Involved in Autophagy, Cellular Senescence and the Inflammatory Response in AMD and Drug Discovery Identified via Biomedical Databases |
title_sort | common genes involved in autophagy, cellular senescence and the inflammatory response in amd and drug discovery identified via biomedical databases |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7804500/ https://www.ncbi.nlm.nih.gov/pubmed/33510953 http://dx.doi.org/10.1167/tvst.10.1.14 |
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