Identifying a possible new target for diagnosis and treatment of postmenopausal osteoporosis through bioinformatics and clinical sample analysis

Abstract

Background: Postmenopausal osteoporosis, a common yet chronic systemic metabolic disease, has become a major public health problem due to life expectancy increasing around the world. The differentiation of mesenchymal stem cells (MSCs) into osteoblasts, and the differentiation of circulating monocyte cells into osteoclasts, play an important role in the balance of bone metabolism. However, when both undergo pathological changes, it can lead to abnormalities, resulting in osteoporosis. This study aims to explore a new biomarker for postmenopausal osteoporosis, thereby providing a new entry point for bioinformatic research into the clinical diagnosis and treatment of the disease.Methods: Using the Gene Expression Omnibus (GEO) database, microarray analysis was conducted to identify differentially expressed genes in MSCs and monocytes in both postmenopausal osteoporosis patients and a healthy control group. The Database for Annotation, Visualization and Integrated Discovery (DAVID) database was used to analyze the function and enrichment of the selected genes, and a protein-protein interaction (PPI) network was constructed from the Search Tool for the Retrieval of Interacting Genes/ Proteins (STRING) website and displayed in Cytoscape. To achieve the final results, module analysis of the PPI network was performed by using Molecular Complex Detection (MCODE).Results: We identified 45 high-expression and 26 low-expression genes through the study, all of which underwent pathway enrichment analysis. This enrichment was observed in the cell cycle regulation, osteoclast differentiation, tumor necrosis factor (TNF) signaling pathway, and RNA transport. The top 10 hub genes of the PPI network were SF3B1,

Bosutinib Laden Three-Dimensional Printed Zein Scaffolds Promote Osteogenesis

“…Furthermore, GO analysis revealed that bosutinib mainly influences extracellular structure organization, extracellular matrix organization, sterol biosynthetic process, secondary alcohol biosynthetic process, and cholesterol biosynthetic process (Figure B). Pathways enrichment analysis using GO and KEGG revealed several pathways related with bone metabolism or bone-related disease, including extracellular matrix organization, steroid biosynthesis, TNF signaling pathway, as well as starch and sucrose metabolism. − PCA showed that the difference between groups is obvious (Figure S1D). Venn diagram analysis revealed that 382 and 297 genes were specifically expressed in hUCMSCs induced with and without bosutinib, respectively, with 10830 genes co-expressed between the two groups (Figure C).…”

GATA4-activated lncRNA MALAT1 promotes osteogenic differentiation through inhibiting NEDD4-mediated RUNX1 degradation

“…As an RBP, KHSRP was suggested to interact with lncRNAs in different tumors, and these interactions were involved in the regulation of downstream genes stability [ 43 , 44 ]. Notably, a previous report showed that KHSRP was dysregulated in MSCs and monocytes of PMOP patients, and presented the promising value for diagnosing and treating PMOP [ 45 ]. Here, our results further confirmed the low expression of KHSRP in PMOP patients and OVX mice.…”

Bioinformatics analysis identification of AKT3 and RAC1 as key genes in postmenopausal osteoporosis

“…Previous studies have analyzed DEGs of patients with PMO ( 16 , 17 ). The present study focused on gene expression of PBMCs in patients with PMO because osteoclasts are differentiated from PBMCs ( 18 ).…”

“…STITCH database was used to mine proteins that interact with bisphosphonates. Pathway enrichment data of the two analyses was combined, common Previous studies have analyzed DEGs of patients with PMO (16,17). The present study focused on gene expression of PBMCs in patients with PMO because osteoclasts are differentiated from PBMCs (18).…”