Identification of the specific microRNAs and competitive endogenous RNA mechanisms in osteoporosis

Author:

Hong Junyi1,Ye Fusheng1,Yu Binjia1,Gao Junwei1,Qi Feicheng1,Wang Wei1ORCID

Affiliation:

1. Department of Orthopaedics, Zhejiang Xiaoshan Hospital, Hangzhou City, Zhejiang Province, China

Abstract

Objective Osteoporosis and osteoarthritis are metabolic skeletal disorders. This study aimed to identify specific networks of competitive endogenous RNA (ceRNA) in osteoporosis that differ from those in osteoarthritis. Methods The dataset GSE74209 was downloaded from the Gene Expression Omnibus, and differentially expressed microRNAs (DEmiRNAs) in osteoporotic samples and osteoarthritic samples were identified. After predicting target genes and linked long noncoding (lnc)RNAs, ceRNA networks of DEmiRNAs were constructed. The nodes that overlapped between ceRNA networks and the Comparative Toxicogenomics Database were selected as key candidates. Results Fifteen DEmiRNAs (including 2 downregulated and 13 upregulated miRNAs) were identified in osteoporotic samples versus osteoarthritic samples; these targeted 161 genes and linked to 60 lncRNAs. The ceRNA network consisted of 6 DEmiRNAs, 63 target genes, and 53 lncRNAs. After searching the Comparative Toxicogenomics Database and mining the literature, 2 lncRNAs ( MALAT1 and NEAT1), 2 DEmiRNAs ( hsa- miR- 32-3p, downregulated; and hsa-miR-22-3p, upregulated) and 6 genes ( SP1, PTEN, ESR1, ERBB3, CSF1R, and CDK6) that relate to cell death, growth, and differentiation were identified as key candidates separating osteoporosis from osteoarthritis. Conclusions Two miRNA–ceRNA networks (including NEAT1/ MALAT1- hsa- miR- 32- 3p- SP1/ FZD6 and NEAT1/ MALAT1- hsa- miR- 22- 3p- PTEN/ ESR1/ ERBB3/ CSF1R/ CDK6) might have crucial and specific roles in osteoporosis.

Publisher

SAGE Publications

Subject

Biochemistry, medical,Cell Biology,Biochemistry,General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3