Identification of Potential Osteoporosis miRNA Biomarkers Using Bioinformatics Approaches

Osteoporosis is a degenerative osteoarthropathy commonly found in old people and postmenopausal women. Many studies showed that microRNAs (miRNAs) can regulate the expression of osteoporosis-related genes and are abnormally expressed in patients with osteoporosis. miRNAs therefore have the potential...

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Autores principales:	Wei Lu, Qiang Wang, Yi Xue, Jie Gu, Ping Yao, Yufan Ge, Yiming Miao, Jun Chen
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/693c64560d994d69b750d5be9471f59b
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spelling	oai:doaj.org-article:693c64560d994d69b750d5be9471f59b2021-11-15T01:18:56ZIdentification of Potential Osteoporosis miRNA Biomarkers Using Bioinformatics Approaches1748-671810.1155/2021/3562942https://doaj.org/article/693c64560d994d69b750d5be9471f59b2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/3562942https://doaj.org/toc/1748-6718Osteoporosis is a degenerative osteoarthropathy commonly found in old people and postmenopausal women. Many studies showed that microRNAs (miRNAs) can regulate the expression of osteoporosis-related genes and are abnormally expressed in patients with osteoporosis. miRNAs therefore have the potential to serve as biomarkers of osteoporosis. In this study, the limma package was used for the differential expression analysis of mRNA expression profiles and 357 significantly differentially expressed genes (DEGs) were obtained. Metascape was used for functional enrichment analysis of DEGs. The result revealed that DEGs were mainly enriched in signaling pathways like MAPK6/MAPK4. Based on the STRING database, the protein-protein interaction (PPI) network of DEGs was constructed. MCODE was used to analyze the functional subsets, and a key functional subset composed of 9 genes was screened out. In addition, the miRNA-mRNA regulatory interaction network (RegIN) was analyzed by the CyTargetLinker plugin, which generated 55 miRNA-mRNA regulatory interactions. Through literature searching, the osteoporosis-related gene FOXO1 in the key functional subset was determined to be the main object of the study. In qRT-PCR assay, the expression of the predicted miRNAs was tested in peripheral blood mononuclear cells of mice with osteoporosis, in which 13 miRNAs were remarkably highly expressed. All in all, this study, based on bioinformatics analysis and testing assay of miRNA expression, determined the potential biomarkers of osteoporosis.Wei LuQiang WangYi XueJie GuPing YaoYufan GeYiming MiaoJun ChenHindawi LimitedarticleComputer applications to medicine. Medical informaticsR858-859.7ENComputational and Mathematical Methods in Medicine, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 Wei Lu Qiang Wang Yi Xue Jie Gu Ping Yao Yufan Ge Yiming Miao Jun Chen Identification of Potential Osteoporosis miRNA Biomarkers Using Bioinformatics Approaches
description	Osteoporosis is a degenerative osteoarthropathy commonly found in old people and postmenopausal women. Many studies showed that microRNAs (miRNAs) can regulate the expression of osteoporosis-related genes and are abnormally expressed in patients with osteoporosis. miRNAs therefore have the potential to serve as biomarkers of osteoporosis. In this study, the limma package was used for the differential expression analysis of mRNA expression profiles and 357 significantly differentially expressed genes (DEGs) were obtained. Metascape was used for functional enrichment analysis of DEGs. The result revealed that DEGs were mainly enriched in signaling pathways like MAPK6/MAPK4. Based on the STRING database, the protein-protein interaction (PPI) network of DEGs was constructed. MCODE was used to analyze the functional subsets, and a key functional subset composed of 9 genes was screened out. In addition, the miRNA-mRNA regulatory interaction network (RegIN) was analyzed by the CyTargetLinker plugin, which generated 55 miRNA-mRNA regulatory interactions. Through literature searching, the osteoporosis-related gene FOXO1 in the key functional subset was determined to be the main object of the study. In qRT-PCR assay, the expression of the predicted miRNAs was tested in peripheral blood mononuclear cells of mice with osteoporosis, in which 13 miRNAs were remarkably highly expressed. All in all, this study, based on bioinformatics analysis and testing assay of miRNA expression, determined the potential biomarkers of osteoporosis.
format	article
author	Wei Lu Qiang Wang Yi Xue Jie Gu Ping Yao Yufan Ge Yiming Miao Jun Chen
author_facet	Wei Lu Qiang Wang Yi Xue Jie Gu Ping Yao Yufan Ge Yiming Miao Jun Chen
author_sort	Wei Lu
title	Identification of Potential Osteoporosis miRNA Biomarkers Using Bioinformatics Approaches
title_short	Identification of Potential Osteoporosis miRNA Biomarkers Using Bioinformatics Approaches
title_full	Identification of Potential Osteoporosis miRNA Biomarkers Using Bioinformatics Approaches
title_fullStr	Identification of Potential Osteoporosis miRNA Biomarkers Using Bioinformatics Approaches
title_full_unstemmed	Identification of Potential Osteoporosis miRNA Biomarkers Using Bioinformatics Approaches
title_sort	identification of potential osteoporosis mirna biomarkers using bioinformatics approaches
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/693c64560d994d69b750d5be9471f59b
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_version_	1718428989482074112

Identification of Potential Osteoporosis miRNA Biomarkers Using Bioinformatics Approaches

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