Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Oct;48(10):300060520954722.
doi: 10.1177/0300060520954722.

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

Affiliations

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

Junyi Hong et al. J Int Med Res. 2020 Oct.

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.

Keywords: Osteoarthritis; Wnt/β-catenin pathway; competitive endogenous RNA; interleukin-6; microRNA; osteoporosis.

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
Heatmap illustrating expression profiles of differentially expressed microRNAs (miRNAs) in osteoarthritis and osteoporosis. Red and blue colors indicate high and low expression of miRNA, respectively.
Figure 2.
Figure 2.
The microRNA (miRNA)–target regulatory network. Triangles and circles represent miRNA and target genes, respectively.
Figure 3.
Figure 3.
Competing endogenous RNA (ceRNA) network in osteoporosis. Diamonds, triangles, and circles indicate long noncoding (lnc)RNA, microRNA (miRNA), and target genes, respectively. The key candidates are shown in a larger font.
Figure 4.
Figure 4.
Functional clustering of key candidates using literature mining. Green and black indicate that the corresponding gene-term association was positively and negatively reported, respectively. Criteria were hit ≥8, enrichment score >5.0 and p < 1e−04.

References

    1. Ganguly P, El-Jawhari JJ, Giannoudis PV, et al. Age-related changes in bone marrow mesenchymal stromal cells: a potential impact on osteoporosis and osteoarthritis development. Cell Transplant 2017; 26: 1520–1529. - PMC - PubMed
    1. Miyakoshi N, Kasukawa Y, Hongo M, et al. Prevalence of non-responders to both oral bisphosphonate monotherapy and intravenous ibandronate in patients with postmenopausal osteoporosis. Open J Orthop 2020; 10: 43.
    1. Eastell R, O’Neill TW, Hofbauer LC, et al. Postmenopausal osteoporosis. Nat Rev Dis Primers 2016; 2: 16069. - PubMed
    1. Kaushal N, Vohora D, Jalali RK, et al. Prevalence of osteoporosis and osteopenia in an apparently healthy Indian population-a cross-sectional retrospective study. Osteoporos Sarcopenia 2018; 4: 53–60. - PMC - PubMed
    1. Noh JW, Park H, Kim M, et al. Gender differences and socioeconomic factors related to osteoporosis: a cross-sectional analysis of nationally representative data. J Womens Health (Larchmt) 2018; 27: 196–202. - PubMed