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Candidate genes identification and RNA-seq based pathway analysis associated with primary angle-closure glaucoma with cataract
BACKGROUND: Cataract is commonly observed in patients with primary angle-closure glaucoma; however, its underlying pathological mechanisms remain unclear. This study aimed to improve our knowledge on the pathological processes involved in primary angle-closure glaucoma (PACG) by identifying potentia...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10152770/ https://www.ncbi.nlm.nih.gov/pubmed/37131205 http://dx.doi.org/10.1186/s12886-023-02950-0 |
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author | Liu, Min Hu, Fei Lei, Caifeng Fu, Min Li, Xue Yu, Ling |
author_facet | Liu, Min Hu, Fei Lei, Caifeng Fu, Min Li, Xue Yu, Ling |
author_sort | Liu, Min |
collection | PubMed |
description | BACKGROUND: Cataract is commonly observed in patients with primary angle-closure glaucoma; however, its underlying pathological mechanisms remain unclear. This study aimed to improve our knowledge on the pathological processes involved in primary angle-closure glaucoma (PACG) by identifying potential prognostic genes associated with cataract progression. METHODS: Thirty anterior capsular membrane samples were collected from PACG patients with cataracts and age-related cataracts. Differentially expressed genes (DEGs) between these two cohorts were analyzed using high-throughput sequencing. Gene ontology and Kyoto Encyclopedia of Genes and Genomes analyses were performed to screen the DEGs, and potential prognostic markers and their coexpression network were then predicted by bioinformatic analyses. The DEGs were further validated by reverse transcription-quantitative polymerase chain reaction. RESULTS: A total of 399 DEGs were found to be specifically associated with cataracts development in PACG patients, among which 177 and 221 DEGs were upregulated and downregulated, respectively. STRING and Cytoscape network analyses revealed seven genes—CTGF, FOS, CAV1, CYR61, ICAM1, EGR1, and NR4A1—that were remarkably enriched and mainly involved in the MAPK, PI3K/Akt, Toll-like receptor, and TNF signaling pathways. RT-qPCR-based validation further confirmed that the sequencing results were accurate and reliable. CONCLUSIONS: Herein, we identified seven genes and their signaling pathways that may contribute to cataract progression in patients with high intraocular pressure. Taken together, our findings highlight new molecular mechanisms that may explain the high incidence of cataracts in PACG patients. In addition, the genes identified herein may represent new foundations for the development of therapeutic strategies for PACG with cataract. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12886-023-02950-0. |
format | Online Article Text |
id | pubmed-10152770 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-101527702023-05-03 Candidate genes identification and RNA-seq based pathway analysis associated with primary angle-closure glaucoma with cataract Liu, Min Hu, Fei Lei, Caifeng Fu, Min Li, Xue Yu, Ling BMC Ophthalmol Research BACKGROUND: Cataract is commonly observed in patients with primary angle-closure glaucoma; however, its underlying pathological mechanisms remain unclear. This study aimed to improve our knowledge on the pathological processes involved in primary angle-closure glaucoma (PACG) by identifying potential prognostic genes associated with cataract progression. METHODS: Thirty anterior capsular membrane samples were collected from PACG patients with cataracts and age-related cataracts. Differentially expressed genes (DEGs) between these two cohorts were analyzed using high-throughput sequencing. Gene ontology and Kyoto Encyclopedia of Genes and Genomes analyses were performed to screen the DEGs, and potential prognostic markers and their coexpression network were then predicted by bioinformatic analyses. The DEGs were further validated by reverse transcription-quantitative polymerase chain reaction. RESULTS: A total of 399 DEGs were found to be specifically associated with cataracts development in PACG patients, among which 177 and 221 DEGs were upregulated and downregulated, respectively. STRING and Cytoscape network analyses revealed seven genes—CTGF, FOS, CAV1, CYR61, ICAM1, EGR1, and NR4A1—that were remarkably enriched and mainly involved in the MAPK, PI3K/Akt, Toll-like receptor, and TNF signaling pathways. RT-qPCR-based validation further confirmed that the sequencing results were accurate and reliable. CONCLUSIONS: Herein, we identified seven genes and their signaling pathways that may contribute to cataract progression in patients with high intraocular pressure. Taken together, our findings highlight new molecular mechanisms that may explain the high incidence of cataracts in PACG patients. In addition, the genes identified herein may represent new foundations for the development of therapeutic strategies for PACG with cataract. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12886-023-02950-0. BioMed Central 2023-05-02 /pmc/articles/PMC10152770/ /pubmed/37131205 http://dx.doi.org/10.1186/s12886-023-02950-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Liu, Min Hu, Fei Lei, Caifeng Fu, Min Li, Xue Yu, Ling Candidate genes identification and RNA-seq based pathway analysis associated with primary angle-closure glaucoma with cataract |
title | Candidate genes identification and RNA-seq based pathway analysis associated with primary angle-closure glaucoma with cataract |
title_full | Candidate genes identification and RNA-seq based pathway analysis associated with primary angle-closure glaucoma with cataract |
title_fullStr | Candidate genes identification and RNA-seq based pathway analysis associated with primary angle-closure glaucoma with cataract |
title_full_unstemmed | Candidate genes identification and RNA-seq based pathway analysis associated with primary angle-closure glaucoma with cataract |
title_short | Candidate genes identification and RNA-seq based pathway analysis associated with primary angle-closure glaucoma with cataract |
title_sort | candidate genes identification and rna-seq based pathway analysis associated with primary angle-closure glaucoma with cataract |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10152770/ https://www.ncbi.nlm.nih.gov/pubmed/37131205 http://dx.doi.org/10.1186/s12886-023-02950-0 |
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