Cargando…

Osteoarthritis related epigenetic variations in miRNA expression and DNA methylation

Osteoarthritis (OA) is chronic arthritis characterized by articular cartilage degradation. However, a comprehensive regulatory network for OA-related microRNAs and DNA methylation modifications has yet to be established. Thus, we aimed to identify epigenetic changes in microRNAs and DNA methylation...

Descripción completa

Detalles Bibliográficos
Autores principales: Jin, Lingpeng, Ma, Jun, Chen, Zhen, Wang, Fei, Li, Zhikuan, Shang, Ziqi, Dong, Jiangtao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337191/
https://www.ncbi.nlm.nih.gov/pubmed/37434153
http://dx.doi.org/10.1186/s12920-023-01597-6
_version_ 1785071366647578624
author Jin, Lingpeng
Ma, Jun
Chen, Zhen
Wang, Fei
Li, Zhikuan
Shang, Ziqi
Dong, Jiangtao
author_facet Jin, Lingpeng
Ma, Jun
Chen, Zhen
Wang, Fei
Li, Zhikuan
Shang, Ziqi
Dong, Jiangtao
author_sort Jin, Lingpeng
collection PubMed
description Osteoarthritis (OA) is chronic arthritis characterized by articular cartilage degradation. However, a comprehensive regulatory network for OA-related microRNAs and DNA methylation modifications has yet to be established. Thus, we aimed to identify epigenetic changes in microRNAs and DNA methylation and establish the regulatory network between miRNAs and DNA methylation. The mRNA, miRNA, and DNA methylation expression profiles of healthy or osteoarthritis articular cartilage samples were downloaded from Gene Expression Omnibus (GEO) database, including GSE169077, GSE175961, and GSE162484. The differentially expressed genes (DEGs), differentially expressed miRNAs (DEMs), and differentially methylated genes (DMGs) were analyzed by the online tool GEO2R. DAVID and STRING databases were applied for functional enrichment analysis and protein-protein interaction (PPI) network. Potential therapeutic compounds for the treatment of OA were identified by Connectivity map (CMap) analysis. A total of 1424 up-regulated DEGs, 1558 down-regulated DEGs, 5 DEMs with high expression, 6 DEMs with low expression, 1436 hypermethylated genes, and 455 hypomethylated genes were selected. A total of 136 up-regulated and 65 downregulated genes were identified by overlapping DEGs and DEMs predicted target genes which were enriched in apoptosis and circadian rhythm. A total of 39 hypomethylated and 117 hypermethylated genes were obtained by overlapping DEGs and DMGs, which were associated with ECM receptor interactions and cellular metabolic processes, cell connectivity, and transcription. Moreover, The PPI network showed COL5A1, COL6A1, LAMA4, T3GAL6A, and TP53 were the most connective proteins. After overlapping of DEGs, DMGs and DEMs predicted targeted genes, 4 up-regulated genes and 11 down-regulated genes were enriched in the Axon guidance pathway. The top ten genes ranked by PPI network connectivity degree in the up-regulated and downregulated overlapping genes of DEGs and DMGs were further analyzed by the CMap database, and nine chemicals were predicted as potential drugs for the treatment of OA. In conclusion, TP53, COL5A1, COL6A1, LAMA4, and ST3GAL6 may play important roles in OA genesis and development. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01597-6.
format Online
Article
Text
id pubmed-10337191
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-103371912023-07-13 Osteoarthritis related epigenetic variations in miRNA expression and DNA methylation Jin, Lingpeng Ma, Jun Chen, Zhen Wang, Fei Li, Zhikuan Shang, Ziqi Dong, Jiangtao BMC Med Genomics Research Osteoarthritis (OA) is chronic arthritis characterized by articular cartilage degradation. However, a comprehensive regulatory network for OA-related microRNAs and DNA methylation modifications has yet to be established. Thus, we aimed to identify epigenetic changes in microRNAs and DNA methylation and establish the regulatory network between miRNAs and DNA methylation. The mRNA, miRNA, and DNA methylation expression profiles of healthy or osteoarthritis articular cartilage samples were downloaded from Gene Expression Omnibus (GEO) database, including GSE169077, GSE175961, and GSE162484. The differentially expressed genes (DEGs), differentially expressed miRNAs (DEMs), and differentially methylated genes (DMGs) were analyzed by the online tool GEO2R. DAVID and STRING databases were applied for functional enrichment analysis and protein-protein interaction (PPI) network. Potential therapeutic compounds for the treatment of OA were identified by Connectivity map (CMap) analysis. A total of 1424 up-regulated DEGs, 1558 down-regulated DEGs, 5 DEMs with high expression, 6 DEMs with low expression, 1436 hypermethylated genes, and 455 hypomethylated genes were selected. A total of 136 up-regulated and 65 downregulated genes were identified by overlapping DEGs and DEMs predicted target genes which were enriched in apoptosis and circadian rhythm. A total of 39 hypomethylated and 117 hypermethylated genes were obtained by overlapping DEGs and DMGs, which were associated with ECM receptor interactions and cellular metabolic processes, cell connectivity, and transcription. Moreover, The PPI network showed COL5A1, COL6A1, LAMA4, T3GAL6A, and TP53 were the most connective proteins. After overlapping of DEGs, DMGs and DEMs predicted targeted genes, 4 up-regulated genes and 11 down-regulated genes were enriched in the Axon guidance pathway. The top ten genes ranked by PPI network connectivity degree in the up-regulated and downregulated overlapping genes of DEGs and DMGs were further analyzed by the CMap database, and nine chemicals were predicted as potential drugs for the treatment of OA. In conclusion, TP53, COL5A1, COL6A1, LAMA4, and ST3GAL6 may play important roles in OA genesis and development. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01597-6. BioMed Central 2023-07-11 /pmc/articles/PMC10337191/ /pubmed/37434153 http://dx.doi.org/10.1186/s12920-023-01597-6 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
Jin, Lingpeng
Ma, Jun
Chen, Zhen
Wang, Fei
Li, Zhikuan
Shang, Ziqi
Dong, Jiangtao
Osteoarthritis related epigenetic variations in miRNA expression and DNA methylation
title Osteoarthritis related epigenetic variations in miRNA expression and DNA methylation
title_full Osteoarthritis related epigenetic variations in miRNA expression and DNA methylation
title_fullStr Osteoarthritis related epigenetic variations in miRNA expression and DNA methylation
title_full_unstemmed Osteoarthritis related epigenetic variations in miRNA expression and DNA methylation
title_short Osteoarthritis related epigenetic variations in miRNA expression and DNA methylation
title_sort osteoarthritis related epigenetic variations in mirna expression and dna methylation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337191/
https://www.ncbi.nlm.nih.gov/pubmed/37434153
http://dx.doi.org/10.1186/s12920-023-01597-6
work_keys_str_mv AT jinlingpeng osteoarthritisrelatedepigeneticvariationsinmirnaexpressionanddnamethylation
AT majun osteoarthritisrelatedepigeneticvariationsinmirnaexpressionanddnamethylation
AT chenzhen osteoarthritisrelatedepigeneticvariationsinmirnaexpressionanddnamethylation
AT wangfei osteoarthritisrelatedepigeneticvariationsinmirnaexpressionanddnamethylation
AT lizhikuan osteoarthritisrelatedepigeneticvariationsinmirnaexpressionanddnamethylation
AT shangziqi osteoarthritisrelatedepigeneticvariationsinmirnaexpressionanddnamethylation
AT dongjiangtao osteoarthritisrelatedepigeneticvariationsinmirnaexpressionanddnamethylation