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Screening of primary open-angle glaucoma diagnostic markers based on immune-related genes and immune infiltration

PURPOSE: Primary open-angle glaucoma (POAG) continues to be a poorly understood disease. Although there were multiple researches on the identification of POAG biomarkers, few studies systematically revealed the immune-related cells and immune infiltration of POAG. Bioinformatics analyses of optic ne...

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Autores principales: Suo, Lingge, Dai, Wanwei, Qin, Xuejiao, Li, Guanlin, Zhang, Di, Cheng, Tian, Yao, Taikang, Zhang, Chun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9400315/
https://www.ncbi.nlm.nih.gov/pubmed/36002796
http://dx.doi.org/10.1186/s12863-022-01072-8
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author Suo, Lingge
Dai, Wanwei
Qin, Xuejiao
Li, Guanlin
Zhang, Di
Cheng, Tian
Yao, Taikang
Zhang, Chun
author_facet Suo, Lingge
Dai, Wanwei
Qin, Xuejiao
Li, Guanlin
Zhang, Di
Cheng, Tian
Yao, Taikang
Zhang, Chun
author_sort Suo, Lingge
collection PubMed
description PURPOSE: Primary open-angle glaucoma (POAG) continues to be a poorly understood disease. Although there were multiple researches on the identification of POAG biomarkers, few studies systematically revealed the immune-related cells and immune infiltration of POAG. Bioinformatics analyses of optic nerve (ON) and trabecular meshwork (TM) gene expression data were performed to further elucidate the immune-related genes of POAG and identify candidate target genes for treatment. METHODS: We performed a gene analysis of publicly available microarray data, namely, the GSE27276-GPL2507, GSE2378-GPL8300, GSE9944-GPL8300, and GSE9944-GPL571 datasets from the Gene Expression Omnibus database. The obtained datasets were used as input for parallel pathway analyses. Based on random forest and support vector machine (SVM) analysis to screen the key genes, significantly changed pathways were clustered into functional categories, and the results were further investigated. CIBERSORT was used to evaluate the infiltration of immune cells in POAG tissues. A network visualizing the differences between the data in the POAG and normal groups was created. GO and KEGG enrichment analyses were performed using the Metascape database. We divided the differentially expressed mRNAs into upregulated and downregulated groups and predicted the drug targets of the differentially expressed genes through the Connectivity Map (CMap) database. RESULTS: A total of 49 differentially expressed genes, including 19 downregulated genes and 30 upregulated genes, were detected. Five genes ((Keratin 14) KRT14, (Hemoglobin subunit beta) HBB, (Acyl-CoA Oxidase 2) ACOX2, (Hephaestin) HEPH and Keratin 13 (KRT13)) were significantly changed. The results showed that the expression profiles of drug disturbances, including those for avrainvillamide-analysis-3, cytochalasin-D, NPI-2358, oxymethylone and vinorelbine, were negatively correlated with the expression profiles of disease disturbances. This finding indicated that these drugs may reduce or even reverse the POAG disease state. CONCLUSION: This study provides an overview of the processes involved in the molecular pathogenesis of POAG in the ON and TM. The findings provide a new understanding of the molecular mechanism of POAG from the perspective of immunology.
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spelling pubmed-94003152022-08-25 Screening of primary open-angle glaucoma diagnostic markers based on immune-related genes and immune infiltration Suo, Lingge Dai, Wanwei Qin, Xuejiao Li, Guanlin Zhang, Di Cheng, Tian Yao, Taikang Zhang, Chun BMC Genom Data Research PURPOSE: Primary open-angle glaucoma (POAG) continues to be a poorly understood disease. Although there were multiple researches on the identification of POAG biomarkers, few studies systematically revealed the immune-related cells and immune infiltration of POAG. Bioinformatics analyses of optic nerve (ON) and trabecular meshwork (TM) gene expression data were performed to further elucidate the immune-related genes of POAG and identify candidate target genes for treatment. METHODS: We performed a gene analysis of publicly available microarray data, namely, the GSE27276-GPL2507, GSE2378-GPL8300, GSE9944-GPL8300, and GSE9944-GPL571 datasets from the Gene Expression Omnibus database. The obtained datasets were used as input for parallel pathway analyses. Based on random forest and support vector machine (SVM) analysis to screen the key genes, significantly changed pathways were clustered into functional categories, and the results were further investigated. CIBERSORT was used to evaluate the infiltration of immune cells in POAG tissues. A network visualizing the differences between the data in the POAG and normal groups was created. GO and KEGG enrichment analyses were performed using the Metascape database. We divided the differentially expressed mRNAs into upregulated and downregulated groups and predicted the drug targets of the differentially expressed genes through the Connectivity Map (CMap) database. RESULTS: A total of 49 differentially expressed genes, including 19 downregulated genes and 30 upregulated genes, were detected. Five genes ((Keratin 14) KRT14, (Hemoglobin subunit beta) HBB, (Acyl-CoA Oxidase 2) ACOX2, (Hephaestin) HEPH and Keratin 13 (KRT13)) were significantly changed. The results showed that the expression profiles of drug disturbances, including those for avrainvillamide-analysis-3, cytochalasin-D, NPI-2358, oxymethylone and vinorelbine, were negatively correlated with the expression profiles of disease disturbances. This finding indicated that these drugs may reduce or even reverse the POAG disease state. CONCLUSION: This study provides an overview of the processes involved in the molecular pathogenesis of POAG in the ON and TM. The findings provide a new understanding of the molecular mechanism of POAG from the perspective of immunology. BioMed Central 2022-08-24 /pmc/articles/PMC9400315/ /pubmed/36002796 http://dx.doi.org/10.1186/s12863-022-01072-8 Text en © The Author(s) 2022 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
Suo, Lingge
Dai, Wanwei
Qin, Xuejiao
Li, Guanlin
Zhang, Di
Cheng, Tian
Yao, Taikang
Zhang, Chun
Screening of primary open-angle glaucoma diagnostic markers based on immune-related genes and immune infiltration
title Screening of primary open-angle glaucoma diagnostic markers based on immune-related genes and immune infiltration
title_full Screening of primary open-angle glaucoma diagnostic markers based on immune-related genes and immune infiltration
title_fullStr Screening of primary open-angle glaucoma diagnostic markers based on immune-related genes and immune infiltration
title_full_unstemmed Screening of primary open-angle glaucoma diagnostic markers based on immune-related genes and immune infiltration
title_short Screening of primary open-angle glaucoma diagnostic markers based on immune-related genes and immune infiltration
title_sort screening of primary open-angle glaucoma diagnostic markers based on immune-related genes and immune infiltration
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9400315/
https://www.ncbi.nlm.nih.gov/pubmed/36002796
http://dx.doi.org/10.1186/s12863-022-01072-8
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