ArticleFrontiers in endocrinology2022
Integrated Bioinformatic Analysis of the Shared Molecular Mechanisms Between Osteoporosis and Atherosclerosis.
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 46 papers.
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Who cites it
46 citing papers in PubMed, 64 citations in OpenAlex.
- Moth-Eaten Osteolysis of Multiple Foot Bones After a Conservatively Treated "Stable" Ankle Fracture: A Case Report and Literature Review.Clinical case reports · 2026Article
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- Magnetic Bead-Based Ligand Fishing Identifies SARS-CoV-2 Main Protease Inhibitors From Reynoutria japonica.Chemistry & biodiversity · 2026Article
- Construction of chronic inflammation and mitochondrial energy metabolism-associated predictive and therapeutic models for lung adenocarcinoma patients.Discover oncology · 2026Article
- Comprehensive bioinformatics analysis and experimental validation reveal the role of circadian rhythm-related genes in the crosstalk between osteoporosis and atherosclerosis.Mammalian genome : official journal of the International Mammalian Genome Society · 2026Article
- Identification of hub targets involved in carotid atherosclerosis through bioinformatics and machine learning approaches.BMC cardiovascular disorders · 2026Article
- Identification of common genetic features and pathways for osteoporosis with frozen shoulder by integrated bioinformatics analysis and machine learning.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2026Article
- Integrated analysis identifies conserved transcription factors TCF12, E2F1, and TEAD4 with diagnostic and therapeutic value in osteoarthritis subchondral bone.Genes & genomics · 2026Article
- The effectiveness and potential regulatory mechanism ofFrontiers in cell and developmental biology · 2026Article
- Anti-diabetic retinopathy molecular mechanism of Dihuang Yinzi: insights from network pharmacology, metabolomics, and microbiome analysis.Frontiers in medicine · 2026Article
- MS-275 facilitates osseointegration in osteoporotic rats by mitigating oxidative stress via activation of the miR-200a/Keap1/Nrf2 signaling pathway.Redox report : communications in free radical research · 2025Article
- Article
- Identification of novel biomarkers for atherosclerosis using single-cell RNA sequencing and machine learning.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Article
- Keratocan Improves Muscle Wasting in Sarcopenia by Promoting Skeletal Muscle Development and Fast-Twitch Fibre Synthesis.Journal of cachexia, sarcopenia and muscle · 2025Article
- Elucidating the role of FBXW4 in osteoporosis: integrating bioinformatics and machine learning for advanced insight.BMC pharmacology & toxicology · 2025Article
- Comprehensive bioinformatics analysis identifies hub genes associated with immune cell infiltration in early-onset schizophrenia.BMC psychiatry · 2025Article
- CHST3, PGBD5, and SLIT2 can be identified as potential genes for the diagnosis and treatment of osteoporosis and sarcopenia.Scientific reports · 2025Article
- Mathematical modeling of the interaction between endocrine systems and EEG signals.Frontiers in endocrinology · 2025Article
- Identification of JNK-JUN-NCOA axis as a therapeutic target for macrophage ferroptosis in chronic apical periodontitis.International journal of medical sciences · 2025Article
- Molecular Mechanisms of Immunoinflammatory Infiltration and Ferroptosis in Arthritis Revealed by a Combination of Bioinformatics and Single-Cell Analysis.Journal of inflammation research · 2025Article
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Osteoporosis and atherosclerosis are common in the elderly population, conferring a heavy worldwide burden. Evidence links osteoporosis and atherosclerosis but the exact underlying common mechanism of its occurrence is unclear. The purpose of this study is to further explore the molecular mechanism between osteoporosis and atherosclerosis through integrated bioinformatic analysis. Methods: The microarray data of osteoporosis and atherosclerosis in the Gene Expression Omnibus (GEO) database were downloaded. The Weighted Gene Co-Expression Network Analysis (WGCNA) and differentially expressed genes (DEGs) analysis were used to identify the co-expression genes related to osteoporosis and atherosclerosis. In addition, the common gene targets of osteoporosis and atherosclerosis were analyzed and screened through three public databases (CTD, DISEASES, and GeneCards). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed by Metascape. Then, the common microRNAs (miRNAs) in osteoporosis and atherosclerosis were screened out from the Human microRNA Disease Database (HMDD) and the target genes of whom were predicted through the miRTarbase. Finally, the common miRNAs-genes network was constructed by Cytoscape software. Results: The results of common genes analysis showed that immune and inflammatory response may be a common feature in the pathophysiology of osteoporosis and atherosclerosis. Six hub genes (namely, COL1A1, IBSP, CTSD, RAC2, MAF, and THBS1) were obtained Conclusion: This study provides new sights into shared molecular mechanisms between osteoporosis and atherosclerosis. These common pathways and hub genes may offer promising clues for further experimental studies.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.