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Construction of miRNA-mRNA regulatory network indicates potential biomarkers for primary open-angle glaucoma

BACKGROUND: Trabecular meshwork (TM) dysfunction-induced elevation of intraocular pressure has been identified as the main risk factor of irreversible optic nerve injury in Primary open‑angle glaucoma (POAG). Increasing evidences suggest that microRNA (miRNA) plays a vital role in the pathogenesis o...

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Autores principales: Zhou, Xiaoyu, Zhang, Feng, Zhang, Xinyue, Zhou, Dengming, Zhao, Yang, Chen, Baihua, Duan, Xuanchu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634160/
https://www.ncbi.nlm.nih.gov/pubmed/37940950
http://dx.doi.org/10.1186/s12920-023-01698-2
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author Zhou, Xiaoyu
Zhang, Feng
Zhang, Xinyue
Zhou, Dengming
Zhao, Yang
Chen, Baihua
Duan, Xuanchu
author_facet Zhou, Xiaoyu
Zhang, Feng
Zhang, Xinyue
Zhou, Dengming
Zhao, Yang
Chen, Baihua
Duan, Xuanchu
author_sort Zhou, Xiaoyu
collection PubMed
description BACKGROUND: Trabecular meshwork (TM) dysfunction-induced elevation of intraocular pressure has been identified as the main risk factor of irreversible optic nerve injury in Primary open‑angle glaucoma (POAG). Increasing evidences suggest that microRNA (miRNA) plays a vital role in the pathogenesis of POAG. This study aims to construct a miRNA-mRNA regulatory network and identify biomarkers for POAG. METHODS: miRNAs and mRNAs expression profiling of TM samples from controls and POAG patients were assessed through microarray analysis. Target genes of differentially expressed miRNAs (DEmiRNAs) were predicted by miEAA and miRNet. Then GO and KEGG pathway analysis of differentially expressed mRNAs (DEmRNAs) were performed. PPI of top 30 hub genes was identified and miRNA-mRNA network was established by STRING database and Cytoscape software. GSE27276 and GSE105269 datasets were used to verify the expression of hub genes and to predict potential biomarkers in TM and aqueous humor (AH) for POAG, respectively. Finally, GSEA analysis was conducted to estimate the main signaling pathway of POAG pathogenesis. RESULTS: A total of 29 up-regulated and 7 down-regulated miRNAs, 923 up-regulated and 887 down-regulated mRNAs were identified in TM of POAG compared with controls. Target genes and DEmRNAs were mainly enriched in nitric oxide biosynthetic process, vasopressin-regulated water reabsorption, and so on. Through miRNA-mRNA network construction, top 30 hub genes were regulated by 24 DEmiRNAs. 8 genes were aberrantly expressed in dataset GSE27276. 3 genes (CREB1, CAPZA2, SLC2A3) and 2 miRNAs (miR-106b-5p, miR-15a-5p) were identified as potential biomarkers for POAG in TM and AH, respectively. GSEA analysis revealed that these 3 genes modulated POAG through different pathways. CONCLUSION: In this study, construction of miRNA-mRNA network and identification of biomarkers provide a novel insight into the pathogenesis, early diagnosis and treatment for POAG. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01698-2.
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spelling pubmed-106341602023-11-10 Construction of miRNA-mRNA regulatory network indicates potential biomarkers for primary open-angle glaucoma Zhou, Xiaoyu Zhang, Feng Zhang, Xinyue Zhou, Dengming Zhao, Yang Chen, Baihua Duan, Xuanchu BMC Med Genomics Research BACKGROUND: Trabecular meshwork (TM) dysfunction-induced elevation of intraocular pressure has been identified as the main risk factor of irreversible optic nerve injury in Primary open‑angle glaucoma (POAG). Increasing evidences suggest that microRNA (miRNA) plays a vital role in the pathogenesis of POAG. This study aims to construct a miRNA-mRNA regulatory network and identify biomarkers for POAG. METHODS: miRNAs and mRNAs expression profiling of TM samples from controls and POAG patients were assessed through microarray analysis. Target genes of differentially expressed miRNAs (DEmiRNAs) were predicted by miEAA and miRNet. Then GO and KEGG pathway analysis of differentially expressed mRNAs (DEmRNAs) were performed. PPI of top 30 hub genes was identified and miRNA-mRNA network was established by STRING database and Cytoscape software. GSE27276 and GSE105269 datasets were used to verify the expression of hub genes and to predict potential biomarkers in TM and aqueous humor (AH) for POAG, respectively. Finally, GSEA analysis was conducted to estimate the main signaling pathway of POAG pathogenesis. RESULTS: A total of 29 up-regulated and 7 down-regulated miRNAs, 923 up-regulated and 887 down-regulated mRNAs were identified in TM of POAG compared with controls. Target genes and DEmRNAs were mainly enriched in nitric oxide biosynthetic process, vasopressin-regulated water reabsorption, and so on. Through miRNA-mRNA network construction, top 30 hub genes were regulated by 24 DEmiRNAs. 8 genes were aberrantly expressed in dataset GSE27276. 3 genes (CREB1, CAPZA2, SLC2A3) and 2 miRNAs (miR-106b-5p, miR-15a-5p) were identified as potential biomarkers for POAG in TM and AH, respectively. GSEA analysis revealed that these 3 genes modulated POAG through different pathways. CONCLUSION: In this study, construction of miRNA-mRNA network and identification of biomarkers provide a novel insight into the pathogenesis, early diagnosis and treatment for POAG. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01698-2. BioMed Central 2023-11-08 /pmc/articles/PMC10634160/ /pubmed/37940950 http://dx.doi.org/10.1186/s12920-023-01698-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Zhou, Xiaoyu
Zhang, Feng
Zhang, Xinyue
Zhou, Dengming
Zhao, Yang
Chen, Baihua
Duan, Xuanchu
Construction of miRNA-mRNA regulatory network indicates potential biomarkers for primary open-angle glaucoma
title Construction of miRNA-mRNA regulatory network indicates potential biomarkers for primary open-angle glaucoma
title_full Construction of miRNA-mRNA regulatory network indicates potential biomarkers for primary open-angle glaucoma
title_fullStr Construction of miRNA-mRNA regulatory network indicates potential biomarkers for primary open-angle glaucoma
title_full_unstemmed Construction of miRNA-mRNA regulatory network indicates potential biomarkers for primary open-angle glaucoma
title_short Construction of miRNA-mRNA regulatory network indicates potential biomarkers for primary open-angle glaucoma
title_sort construction of mirna-mrna regulatory network indicates potential biomarkers for primary open-angle glaucoma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634160/
https://www.ncbi.nlm.nih.gov/pubmed/37940950
http://dx.doi.org/10.1186/s12920-023-01698-2
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