2019
DOI: 10.1007/s00223-019-00643-9
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Comprehensive Analysis of lncRNA and miRNA Expression Profiles and ceRNA Network Construction in Osteoporosis

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Cited by 23 publications
(28 citation statements)
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“…To identify biomarkers relative to osteoporosis disease, Zhang et al [ 81 ] characterized the competing endogenous RNA (ceRNA) regulatory networks of mRNAs, miRNAs, and long noncoding RNAs (lncRNAs) from microarray data obtained from the Gene Expression Omnibus database. They took into account the gene expression profile from circulating monocytes of five subjects with high hip BMD compared with five subjects with low hip BMD.…”
Section: Mirnas In Human Circulating Monocytesmentioning
confidence: 99%
“…To identify biomarkers relative to osteoporosis disease, Zhang et al [ 81 ] characterized the competing endogenous RNA (ceRNA) regulatory networks of mRNAs, miRNAs, and long noncoding RNAs (lncRNAs) from microarray data obtained from the Gene Expression Omnibus database. They took into account the gene expression profile from circulating monocytes of five subjects with high hip BMD compared with five subjects with low hip BMD.…”
Section: Mirnas In Human Circulating Monocytesmentioning
confidence: 99%
“…Long non-coding RNAs (lncRNAs) are a class of non-protein-coding RNA transcripts with lengths longer than 200 nucleotides. Growing amounts of evidences have shown that lncRNAs are important regulators in diverse biological processes and diseases including osteoporosis 5 7 . A good number of lncRNAs have been demonstrated to play critical roles in the osteogenic differentiation of BMSCs 8 10 .…”
Section: Introductionmentioning
confidence: 99%
“…Zeng et al conducted a meta-analysis among individuals of seven independent studies for BMD, reporting that MEF2C antisense RNA 1 (MEF2C-AS1) was significantly associated with BMD of femoral neck, while LOC100506136 showed significant association with BMD of hip [12]. Similarly, Zhang et al constructed a comprehensive mRNA-lncRNA-miRNA competing endogenous RNA (ceRNA) regulatory network to predict the risk of osteoporosis development by analyzing public Gene Expression Omnibus (GEO) microarray profile data [13]. In the next paragraphs, we provide information about the mechanisms and the role of non-coding RNAs in the regulation of gene expression and their link with extracellular vesicles (EVs) in the onset of osteoporosis.…”
Section: Introductionmentioning
confidence: 99%