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Identification of potential molecular targets associated with proliferative diabetic retinopathy

BACKGROUND: This study aimed to identify and evaluate potential molecular targets associated with the development of proliferative diabetic retinopathy (DR). METHODS: The microarray dataset “GSE60436” generated from fibrovascular membranes (FVMs) associated with proliferative DR was downloaded from...

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Autores principales: Shao, Dewang, He, Shouzhi, Ye, Zi, Zhu, Xiaoquan, Sun, Wei, Fu, Wei, Ma, Tianju, Li, Zhaohui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7155274/
https://www.ncbi.nlm.nih.gov/pubmed/32290826
http://dx.doi.org/10.1186/s12886-020-01381-5
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author Shao, Dewang
He, Shouzhi
Ye, Zi
Zhu, Xiaoquan
Sun, Wei
Fu, Wei
Ma, Tianju
Li, Zhaohui
author_facet Shao, Dewang
He, Shouzhi
Ye, Zi
Zhu, Xiaoquan
Sun, Wei
Fu, Wei
Ma, Tianju
Li, Zhaohui
author_sort Shao, Dewang
collection PubMed
description BACKGROUND: This study aimed to identify and evaluate potential molecular targets associated with the development of proliferative diabetic retinopathy (DR). METHODS: The microarray dataset “GSE60436” generated from fibrovascular membranes (FVMs) associated with proliferative DR was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) from the active FVMs and control or inactive FVMs and control were evaluated and co-DEGs were identified using VEEN analysis. Functional enrichment analysis, and protein-protein interactions (PPI) network and module analyses were performed on the upregulated and downregulated coDEGs. Finally, several predictions regarding microRNAs (miRNAs) and transcription factors (TFs) were made to construct a putative TF-miRNA-target network. RESULTS: A total of 1475 co-DEGs were screened in active/inactive FVM samples, including 461 upregulated and 1014 downregulated genes, which were enriched for angiogenesis [Hypoxia Inducible Factor 1 Subunit Alpha (HIF1A) and Placental Growth Factor (PGF)] and visual perception, respectively. In the case of the upregulated co-DEGs, Kinesin Family Member 11 (KIF11), and BUB1 Mitotic Checkpoint Serine/Threonine Kinase (BUB1) exhibited the highest values in both the PPI network and module analyses, as well as the genes related to mitosis. In the case of downregulated co-DEGs, several G protein subunits, including G Protein Subunit Beta 3 (GNB3), exhibited the highest values in both the PPI network and module analyses. The genes identified in the module analysis were found to be from the signal transduction-related pathways. In addition, we were able to identify four miRNAs and five TFs, including miR-136 and miR-374. CONCLUSIONS: In brief, HIF1A, PGF, KIF11, G protein subunits, and miR-136, miR-374 may all be involved in angiogenesis, retinal endothelial cell proliferation, and visual signal transduction in proliferative DR. This study provides a number of novel insights that may aid the development of future studies dedicated to discovering novel therapeutic targets in proliferative DR.
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spelling pubmed-71552742020-04-20 Identification of potential molecular targets associated with proliferative diabetic retinopathy Shao, Dewang He, Shouzhi Ye, Zi Zhu, Xiaoquan Sun, Wei Fu, Wei Ma, Tianju Li, Zhaohui BMC Ophthalmol Research Article BACKGROUND: This study aimed to identify and evaluate potential molecular targets associated with the development of proliferative diabetic retinopathy (DR). METHODS: The microarray dataset “GSE60436” generated from fibrovascular membranes (FVMs) associated with proliferative DR was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) from the active FVMs and control or inactive FVMs and control were evaluated and co-DEGs were identified using VEEN analysis. Functional enrichment analysis, and protein-protein interactions (PPI) network and module analyses were performed on the upregulated and downregulated coDEGs. Finally, several predictions regarding microRNAs (miRNAs) and transcription factors (TFs) were made to construct a putative TF-miRNA-target network. RESULTS: A total of 1475 co-DEGs were screened in active/inactive FVM samples, including 461 upregulated and 1014 downregulated genes, which were enriched for angiogenesis [Hypoxia Inducible Factor 1 Subunit Alpha (HIF1A) and Placental Growth Factor (PGF)] and visual perception, respectively. In the case of the upregulated co-DEGs, Kinesin Family Member 11 (KIF11), and BUB1 Mitotic Checkpoint Serine/Threonine Kinase (BUB1) exhibited the highest values in both the PPI network and module analyses, as well as the genes related to mitosis. In the case of downregulated co-DEGs, several G protein subunits, including G Protein Subunit Beta 3 (GNB3), exhibited the highest values in both the PPI network and module analyses. The genes identified in the module analysis were found to be from the signal transduction-related pathways. In addition, we were able to identify four miRNAs and five TFs, including miR-136 and miR-374. CONCLUSIONS: In brief, HIF1A, PGF, KIF11, G protein subunits, and miR-136, miR-374 may all be involved in angiogenesis, retinal endothelial cell proliferation, and visual signal transduction in proliferative DR. This study provides a number of novel insights that may aid the development of future studies dedicated to discovering novel therapeutic targets in proliferative DR. BioMed Central 2020-04-14 /pmc/articles/PMC7155274/ /pubmed/32290826 http://dx.doi.org/10.1186/s12886-020-01381-5 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 Article
Shao, Dewang
He, Shouzhi
Ye, Zi
Zhu, Xiaoquan
Sun, Wei
Fu, Wei
Ma, Tianju
Li, Zhaohui
Identification of potential molecular targets associated with proliferative diabetic retinopathy
title Identification of potential molecular targets associated with proliferative diabetic retinopathy
title_full Identification of potential molecular targets associated with proliferative diabetic retinopathy
title_fullStr Identification of potential molecular targets associated with proliferative diabetic retinopathy
title_full_unstemmed Identification of potential molecular targets associated with proliferative diabetic retinopathy
title_short Identification of potential molecular targets associated with proliferative diabetic retinopathy
title_sort identification of potential molecular targets associated with proliferative diabetic retinopathy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7155274/
https://www.ncbi.nlm.nih.gov/pubmed/32290826
http://dx.doi.org/10.1186/s12886-020-01381-5
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