ArticleFrontiers in endocrinology2022
Identification of a Potential MiRNA-mRNA Regulatory Network for Osteoporosis by Using Bioinformatics Methods: A Retrospective Study Based on the Gene Expression Omnibus Database.
Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 18 citations in OpenAlex.
- miR-211-5p/FOXO3 axis accelerates osteogenic differentiation and fracture healing by mediating Wnt/β-catenin pathway.Journal of orthopaedic surgery and research · 2026Article
- MiR-642a-3p increases the risk of postmenopausal osteoporosis and fractures by targeting INO80.Hereditas · 2026Article
- A Machine Learning Framework for Screening Plasma Cell-Associated Feature Genes to Estimate Osteoporosis Risk and Treatment Vulnerability.Biochemical genetics · 2025Article
- Role and Validation of Lactylation-Related Gene Markers in Postmenopausal Osteoporosis.Applied biochemistry and biotechnology · 2025Article
- Targeted editing of CCL5 with CRISPR-Cas9 nanoparticles enhances breast cancer immunotherapy.Apoptosis : an international journal on programmed cell death · 2025Article
- Novel therapeutic strategy: Nrf2 activation in targeting senescence-related changes in chronic obstructive pulmonary disease.Journal of thoracic disease · 2025Article
- The molecular mechanism of gemcitabine in inhibiting the HIF-1α/VEGFB/FGF2/FGFR1 signaling pathway for ovarian cancer treatment.Discover oncology · 2025Article
- Association between frailty index and all-cause mortality in hospitalized elderly patients with osteoporotic fractures: a retrospective cohort study.Frontiers in medicine · 2025Article
- Huopuxialing Decoction: A Promising Candidate for Precancerous Lesions of Gastric Cancer Treatment Based on Bioinformatics and Experimental Verification.Combinatorial chemistry & high throughput screening · 2025Article
- Targeting CDK1 and copper homeostasis in breast cancer via a nanopolymer drug delivery system.Cell biology and toxicology · 2024Article
- Multi-omics Analysis to Identify Key Immune Genes for Osteoporosis based on Machine Learning and Single-cell Analysis.Orthopaedic surgery · 2024Article
- Prognostic analysis and validation of diagnostic marker genes in patients with osteoporosis.Frontiers in immunology · 2022Article
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: As a systemic skeletal dysfunction, osteoporosis (OP) is characterized by low bone mass, impairment of bone microstructure, and a high global morbidity rate. There is increasing evidence that microRNAs (miRNAs) are associated with the pathogenesis of OP. Weighted gene co-expression network analysis (WGCNA) is a systematic method for identifying clinically relevant genes involved in disease pathogenesis. However, the study of the miRNA-messenger RNA (mRNA) regulatory network in combination with WGCNA in OP is still lacking. Methods: The GSE93883 and GSE7158 microarray datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed miRNAs (DE-miRNAs) and differentially expressed genes (DEGs) were analyzed with the limma package. OP-related miRNAs from the most clinically relevant module were identified by the WGCNA method. The overlap of DE-miRNAs and OP-related miRNAs was identified as OP-related DE-miRNAs. Both upstream transcription factors and downstream targets of OP-related DE-miRNAs were predicted by FunRich. An intersection of predicted target genes and DEGs was confirmed as downstream target genes of OP-related DE-miRNAs. With the use of clusterProfiler in R, Gene Ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment were performed on target genes. Finally, both the protein-protein interaction (PPI) network and miRNA-mRNA network were constructed and analyzed. Results: A total of 79 OP-related DE-miRNAs were obtained, most of which were predicted to be regulated by specificity protein 1 (SP1). Subsequently, 197 downstream target genes were screened out. The target genes were enriched in multiple pathways, including signaling pathways closely related to the onset of OP, such as Ras, PI3K-Akt, and ErbB signaling pathways. Through the construction of the OP-related miRNA-mRNA regulatory network, a hub network that may play a prominent role in the formation of OP was documented. Conclusion: By using WGCNA, we constructed a potential OP-related miRNA-mRNA regulatory network, offering a novel perspective on miRNA regulatory mechanisms in OP.
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