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Identification of differentially expressed and methylated genes and construction of a co-expression network in age-related macular degeneration

BACKGROUND: Age-related macular degeneration (AMD) is the leading cause of blindness for people over 50 years old worldwide. The purpose of this study was to identify differentially expressed and methylated genes (DEMGs) and construct a co-expression network for AMD. METHODS: Microarray expression (...

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Autores principales: Liang, Gaohua, Ma, Wenhao, Luo, Yanni, Yin, Jiayang, Hao, Lili, Zhong, Jingxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8908173/
https://www.ncbi.nlm.nih.gov/pubmed/35280389
http://dx.doi.org/10.21037/atm-21-7043
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author Liang, Gaohua
Ma, Wenhao
Luo, Yanni
Yin, Jiayang
Hao, Lili
Zhong, Jingxiang
author_facet Liang, Gaohua
Ma, Wenhao
Luo, Yanni
Yin, Jiayang
Hao, Lili
Zhong, Jingxiang
author_sort Liang, Gaohua
collection PubMed
description BACKGROUND: Age-related macular degeneration (AMD) is the leading cause of blindness for people over 50 years old worldwide. The purpose of this study was to identify differentially expressed and methylated genes (DEMGs) and construct a co-expression network for AMD. METHODS: Microarray expression (GSE29801 dataset) and DNA methylation (GSE102952 dataset) profiles were retrieved from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) and differentially methylated genes (DMGs) were analyzed between AMD retina tissues and normal retina tissues. A protein-protein interaction (PPI) network was constructed and hub genes were screened, followed by functional enrichment analysis. Then, weighted gene co-expression network analysis (WGCNA) was conducted. The ARPE‐19 cells were maintained in a hypoxic state to construct an AMD cellular model. Enzyme-linked immunosorbent assay (ELISA) and the real-time qPCR (RT-qPCR) were performed for validation. RESULTS: After overlapping, 16 hypermethylated and down-regulated genes and 15 hypomethylated and up-regulated genes were identified for extramacular AMD. A total of 4 hub genes (LMNB2, EMD, HLA-A, and HLA-B) were screened for AMD in the extramacular retina. Furthermore, 13 hypermethylated and down-regulated genes and 31 hypomethylated and up-regulated genes were identified for macular AMD. Among them, 11 hub genes (HLA-A, HLA-B, HLA-DRB1, IFITM3, SAT1, MAOB, CHRDL1, FSTL1, HSPA1A, AR, and YAP1) were considered hub genes. The DEMGs were distinctly related with immune-related biological processes and pathways. A total of 16 co-expression modules were constructed, of which 2 significantly correlated with AMD. The genes in the 2 modules were involved in various crucial signaling pathways. The HIF1α and VEGF levels were significantly up-regulated in cell supernatant of hypoxia-induced ARPE‐19 cells, indicating that the AMD cellular model was successfully established. Hub genes including CHRDL, FSTL1, and IFITM3 displayed significantly higher expression in hypoxia-induced ARPE‐19 cells compared to normal cells. Greater up-regulation of CHRDL, FSTL1, and IFITM3 expression was found in hypoxia-induced ARPE‐19 cells than in normal cells. CONCLUSIONS: These findings offered several key DEMGs and pathways for AMD and constructed AMD-related co-expression modules, deepening understanding of the pathogenesis of AMD.
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spelling pubmed-89081732022-03-11 Identification of differentially expressed and methylated genes and construction of a co-expression network in age-related macular degeneration Liang, Gaohua Ma, Wenhao Luo, Yanni Yin, Jiayang Hao, Lili Zhong, Jingxiang Ann Transl Med Original Article BACKGROUND: Age-related macular degeneration (AMD) is the leading cause of blindness for people over 50 years old worldwide. The purpose of this study was to identify differentially expressed and methylated genes (DEMGs) and construct a co-expression network for AMD. METHODS: Microarray expression (GSE29801 dataset) and DNA methylation (GSE102952 dataset) profiles were retrieved from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) and differentially methylated genes (DMGs) were analyzed between AMD retina tissues and normal retina tissues. A protein-protein interaction (PPI) network was constructed and hub genes were screened, followed by functional enrichment analysis. Then, weighted gene co-expression network analysis (WGCNA) was conducted. The ARPE‐19 cells were maintained in a hypoxic state to construct an AMD cellular model. Enzyme-linked immunosorbent assay (ELISA) and the real-time qPCR (RT-qPCR) were performed for validation. RESULTS: After overlapping, 16 hypermethylated and down-regulated genes and 15 hypomethylated and up-regulated genes were identified for extramacular AMD. A total of 4 hub genes (LMNB2, EMD, HLA-A, and HLA-B) were screened for AMD in the extramacular retina. Furthermore, 13 hypermethylated and down-regulated genes and 31 hypomethylated and up-regulated genes were identified for macular AMD. Among them, 11 hub genes (HLA-A, HLA-B, HLA-DRB1, IFITM3, SAT1, MAOB, CHRDL1, FSTL1, HSPA1A, AR, and YAP1) were considered hub genes. The DEMGs were distinctly related with immune-related biological processes and pathways. A total of 16 co-expression modules were constructed, of which 2 significantly correlated with AMD. The genes in the 2 modules were involved in various crucial signaling pathways. The HIF1α and VEGF levels were significantly up-regulated in cell supernatant of hypoxia-induced ARPE‐19 cells, indicating that the AMD cellular model was successfully established. Hub genes including CHRDL, FSTL1, and IFITM3 displayed significantly higher expression in hypoxia-induced ARPE‐19 cells compared to normal cells. Greater up-regulation of CHRDL, FSTL1, and IFITM3 expression was found in hypoxia-induced ARPE‐19 cells than in normal cells. CONCLUSIONS: These findings offered several key DEMGs and pathways for AMD and constructed AMD-related co-expression modules, deepening understanding of the pathogenesis of AMD. AME Publishing Company 2022-02 /pmc/articles/PMC8908173/ /pubmed/35280389 http://dx.doi.org/10.21037/atm-21-7043 Text en 2022 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Liang, Gaohua
Ma, Wenhao
Luo, Yanni
Yin, Jiayang
Hao, Lili
Zhong, Jingxiang
Identification of differentially expressed and methylated genes and construction of a co-expression network in age-related macular degeneration
title Identification of differentially expressed and methylated genes and construction of a co-expression network in age-related macular degeneration
title_full Identification of differentially expressed and methylated genes and construction of a co-expression network in age-related macular degeneration
title_fullStr Identification of differentially expressed and methylated genes and construction of a co-expression network in age-related macular degeneration
title_full_unstemmed Identification of differentially expressed and methylated genes and construction of a co-expression network in age-related macular degeneration
title_short Identification of differentially expressed and methylated genes and construction of a co-expression network in age-related macular degeneration
title_sort identification of differentially expressed and methylated genes and construction of a co-expression network in age-related macular degeneration
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8908173/
https://www.ncbi.nlm.nih.gov/pubmed/35280389
http://dx.doi.org/10.21037/atm-21-7043
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