1.Analysis of genes related to female bone peak and osteoporosis based on bioinformatics.
Ping FAN ; Xiu-Yuan FENG ; Nan HU ; Dan PU ; Lan HE
China Journal of Orthopaedics and Traumatology 2023;36(9):866-872
OBJECTIVE:
To explore and verify the genes related to female peak bone mass(PBM) and osteoporosis (OP) based on bioinformatics.
METHODS:
Using GEO data, DNA microarray technology to conduct genome-wide analysis of adult female monocytes with high and low PBM. Cluster analysis, GO enrichment and KEGG analysis were used to analyze the differential genes, and the interaction network of differential genes was further analyzed. OP rat model was established and femur neck tissue staining was performed to further verify the expression of differential genes.
RESULTS:
A total of 283 genes were obtained by differential gene screening. Compared with the high PBM samples, 135 genes were up-regulated and 148 genes were down-regulated in the low PBM samples. A total of 7 pathways and 12 differential genes were enriched, and there were differences in the expression of several genes involved in mineral absorption and transport, cellular immunity and other aspects. Among them, voltage-gated Ca2+ channel 1.3(CaV1.3) encoded by CACNA1D gene was significantly enhanced in the femoral neck tissue of OP rat model.
CONCLUSION
The above results suggest that the difference in the expression level of CaV1.3 gene may lead to the occurrence of OP in women with low PBM, which provides us with a potential target for the prevention and treatment of OP.
Adult
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Female
;
Humans
;
Animals
;
Rats
;
Osteoporosis/genetics*
;
Bone Density
;
Computational Biology
;
Femur Neck
;
Staining and Labeling
2.Bioinformatics analysis and identification to immune-related markers of osteoporosis.
Chinese Journal of Cellular and Molecular Immunology 2023;39(12):1108-1113
Objective To identify immune-related dysregulation mechanisms and potential diagnostic predictive biomarkers in osteoporosis. Methods Gene expression data for both osteoporosis and control populations were retrieved from the GSE35958 and GSE56815 datasets. Immune-related differentially expressed genes (DEGs) were obtained by screening DEGs and were compared with the immunology database and analysis portal (ImmPort) database. Enrichment analysis of these immune-related DEGs was conducted using the Clusterprofiler software package. A protein-protein interaction network was built with the STRING database, which is a search tool for finding interacting genes/proteins, and the top 10 genes with the highest network connectivity were identified as candidate genes. Subsequently, the diagnostic predictive effect of candidate genes was evaluated using receiver operating characteristic (ROC) curves, logistic regression, and column plots. Finally, PCR and Western blot analysis were applied to detect the differential expression of these genes in bone marrow tissue of patients with osteoporosis. Results A total of 138 immune-related DEGs were obtained through intersection analysis. The results of the enrichment analysis indicated that these genes were involved in biological functions such as immune inflammation and signaling pathways including T cell receptors, mitogen activated protein kinase (MAPK), rat sarcoma virus oncogene homologs (Ras), osteoclast differentiation, and B cell receptors. In addition, among the candidate genes, upregulated vascular endothelial growth factor A (VEGFA) and epidermal growth factor receptor (EGFR) and downregulated AKT1, SRC, and JUN in osteoporosis showed the highest connectivity. Among them, VEGFA, EGFR, JUN, and AKT1 demonstrated the best diagnostic predictive value. Conclusion The screening of immune-related DEGs will enhance the understanding of osteoporosis and facilitate the development of immunotherapy targets.
Humans
;
Vascular Endothelial Growth Factor A/genetics*
;
Biomarkers
;
Osteoporosis/genetics*
;
Computational Biology/methods*
;
ErbB Receptors/genetics*
;
Gene Expression Profiling/methods*
3.Identification of core pathogenic genes and pathways in elderly osteoporosis based on bioinformatics analysis.
Chao WANG ; Xu JIANG ; Quan LI ; Yan Zhuo ZHANG ; Jian Feng TAO ; Cheng Ai WU
Chinese Journal of Preventive Medicine 2023;57(7):1040-1046
Objective: Using bioinformatics methods to analyze the core pathogenic genes and related pathways in elderly osteoporosis. Methods: From November 2020 and August 2021, eight elderly osteoporosis patients who received treatment and five healthy participants who underwent physical examinations in Beijing Jishuitan Hospital were selected as subjects. The expression level of RNA in the peripheral blood of eight elderly osteoporosis patients and five healthy participants was collected for high-throughput transcriptome sequencing and analysis. The gene ontology (GO) analysis Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was performed for the differentially expressed genes (DEGs). The protein-protein interaction (PPI) network was constructed using the STRING website and Cytoscape software, and the most significant modules and hub genes were screened out. Results: Among the eight elderly osteoporosis patients, there were seven females and one male, with an average age of 72.4 years (SD=4.2). Among the five healthy participants, there were four females and one male, with an average age of 68.2 years (SD=5.7). A total of 1 635 DEGs (847 up-regulated and 788 down-regulated) were identified. GO analysis revealed that the molecular functions of DEGs were mainly enriched in structural constituents of the ribosome, protein dimerization activity, and cellular components were mainly enriched in the nucleosome, DNA packaging complex, cytosolic part, protein-DNA complex and the cytosolic ribosome. KEGG pathway analysis showed that DEGs were mainly enriched in systemic lupus erythematosus and ribosome. Gene UBA52, UBB, RPS27A, RPS15, RPS12, RPL13A, RPL23A, RPL10A, RPS25 and RPS6 were selected and seven of them could encode ribosome proteins. Conclusion: The pathogenesis of elderly osteoporosis may be associated with ribosome-related genes and pathways.
Female
;
Humans
;
Male
;
Aged
;
Gene Expression Profiling/methods*
;
Transcriptome
;
Protein Interaction Maps/genetics*
;
Computational Biology/methods*
;
Osteoporosis/genetics*
4.Research progress of optic atrophy 1-mediated mitochondrial dynamics in skeletal system diseases.
Kaibo SUN ; Yuangang WU ; Yi ZENG ; Mingyang LI ; Limin WU ; Bin SHEN
Chinese Journal of Reparative and Reconstructive Surgery 2023;37(6):758-763
OBJECTIVE:
To review the research progress of mitochondrial dynamics mediated by optic atrophy 1 (OPA1) in skeletal system diseases.
METHODS:
The literatures about OPA1-mediated mitochondrial dynamics in recent years were reviewed, and the bioactive ingredients and drugs for the treatment of skeletal system diseases were summarized, which provided a new idea for the treatment of osteoarthritis.
RESULTS:
OPA1 is a key factor involved in mitochondrial dynamics and energetics and in maintaining the stability of the mitochondrial genome. Accumulating evidence indicates that OPA1-mediated mitochondrial dynamics plays an important role in the regulation of skeletal system diseases such as osteoarthritis, osteoporosis, and osteosarcoma.
CONCLUSION
OPA1-mediated mitochondrial dynamics provides an important theoretical basis for the prevention and treatment of skeletal system diseases.
Humans
;
GTP Phosphohydrolases/genetics*
;
Mitochondrial Dynamics
;
Osteoarthritis
;
Osteoporosis
5.Pathogenesis of glucocorticoid-induced osteoporosis based on label-free mass proteomics.
Fang-Qing ZHANG ; Qiu-Yue LI ; Yue SHI ; Jing-Xun WANG ; Jia-Shuo WU ; Hao-Nan RUAN ; Hao-Tian XUE
China Journal of Orthopaedics and Traumatology 2023;36(4):336-344
OBJECTIVE:
To explore pathogenesis of glucocortocoid-induced osteoporosis(GIOP) based on label-free mass proteomics.
METHODS:
Twevle female Sprague-Dawley(SD) rats were randomly divided into two groups, named as sham group and GIOP group. After one-week adaptive feeding, the rats of GIOP group were administered with dexamethasone via intramuscular injection according to 2.5 mg/kg weighting, while the rats of sham group were administered with the same amount of saline, twice a week. The tibias of each group were collected after 8-week modeling and made pathological sections to confirm the success of modeling. Three samples of each group were picked up to perform label-free mass proteomics. After quality control, differentially expressed proteins were identified according to qualitative and quantitative analyses. Then gene ontology(GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichment analysis, cluster analysis as well as protein-protein interaction analysis were performed using bioinformatics analysis.
RESULTS:
Compared with sham group, the structure of bone trabecular in GIOP group showed abnormal arrangement, uneven distribution and obvious fragmentation, which could demonstrate successful modeling. A total of 47 differentially expressed proteins (DEPs) were identified including 20 up-regulated and 27 down-regulated proteins. The expression of protein nucleophosmin 1(NPM1), adipocyte plasma membrane associated protein (APMAP), cytochromec oxidase subunit 6A1 (COX6A1) and tartrate-resistant acid phosphatase (ACP5) showed a significant difference between two groups. KEGG results showed DEPs were enriched on metabolism-related pathways, immune-related pathways and AMP-activated kinase (AMPK) signaling pathway.
CONCLUSION
Protein NPM1, APMAP, COX6A1 and ACP5 showed a close relationship with pathogenesis of GIOP, which could serve as potential biomarkers of GIOP. AMPK signaling pathway played an important role in the occurrence and development of GIOP, which could be regarded as potential signaling pathway to treatment GIOP.
Female
;
Rats
;
Animals
;
Glucocorticoids/adverse effects*
;
AMP-Activated Protein Kinases
;
Proteomics
;
Rats, Sprague-Dawley
;
Osteoporosis/genetics*
;
Nuclear Proteins/adverse effects*
6.Advances on pentraxin 3 in osteoporosis and fracture healing.
Jia-Jun LU ; Yan SUN ; Xuan ZHANG ; Qiao-Qi WANG ; Zhou-Yi XIANG ; Yi-Qing LING ; Pei-Jian TONG ; Tao-Tao XU
China Journal of Orthopaedics and Traumatology 2023;36(4):393-398
Pentaxin 3 (PTX3), as a multifunctional glycoprotein, plays an important role in regulating inflammatory response, promoting tissue repair, inducing ectopic calcification and maintaining bone homeostasis. The effect of PTX3 on bone mineral density (BMD) may be affected by many factors. In PTX3 knockout mice and osteoporosis (OP) patients, the deletion of PTX3 will lead to decrease of BMD. In Korean community "Dong-gu study", it was found that plasma PTX3 was negatively correlated with BMD of femoral neck in male elderly patients. In terms of bone related cells, PTX3 plays an important role in maintaining the phenotype and function of osteoblasts (OB) in OP state;for osteoclast (OC), PTX3 in inflammatory state could stimulate nuclear factor κ receptor activator of nuclear factor-κB ligand (RANKL) production and its combination with TNF-stimulated gene 6(TSG-6) could improve activity of osteoclasts and promote bone resorption;for mesenchymal stem cells (MSCs), PTX3 could promote osteogenic differentiation of MSCs through PI3K/Akt signaling pathway. In recent years, the role of PTX3 as a new bone metabolism regulator in OP and fracture healing has been gradually concerned by scholars. In OP patients, PTX3 regulates bone mass mainly by promoting bone regeneration. In the process of fracture healing, PTX3 promotes fracture healing by coordinating bone regeneration and bone resorption to maintain bone homeostasis. In view of the above biological characteristics, PTX3 is expected to become a new target for the diagnosis and treatment of OP and other age-related bone diseases and fracture healing.
Animals
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Male
;
Mice
;
Bone Resorption/metabolism*
;
Cell Differentiation
;
Fracture Healing/genetics*
;
Osteoblasts
;
Osteoclasts
;
Osteogenesis
;
Osteoporosis/genetics*
;
Phosphatidylinositol 3-Kinases/pharmacology*
7.miR-877-3p causes osteoporosis in mice by inhibiting MCP-1 secretion from mouse bone marrow mesenchymal stem cells and the migration and apoptosis of T lymphocytes.
Chinese Journal of Cellular and Molecular Immunology 2023;39(6):481-487
Objective To investigate the effects of miR-877-3p on migration and apoptotic T lymphocytes of bone mesenchymal stem cells (BMSCs). Methods The model of osteoporosis induced by bilateral ovariectomy (OVX) and sham operation was established. At 8 weeks after operation, the bone parameters of the two groups were detected by micro-CT. The levels of monocyte chemotactic protein 1(MCP-1) in BMSCs were detected by ELISA. BMSC in OVX group and sham group were co-cultured with T lymphocytes, respectively. The migration ability of T lymphocytes in the two groups was observed by TranswellTM assay with PKH26 staining and apoptosis of T lymphocytes were detected by flow cytometry. Reverse transcription PCR was used to detect the expression of miR-877-3p in BMSCs. miR-877-3p was overexpressed or down-regulated by cell transfection. The level of MCP-1 secreted by BMSCs in each group was detected by ELISA. The migration and apoptosis of T lymphocytes were detected by the above methods. Results The number of trabecular bone and bone mineral density in OVX group were lower than those in sham group. The levels of MCP-1 secretion, chemotactic and apoptotic T lymphocyte ability of BMSCs in OVX group were also lower than those in sham group. The expression level of miR-877-3p in BMSC in OVX group was higher than that in sham group. After overexpression of BMSC miR-877-3p, the levels of MCP-1 secreted from BMSCs, and apoptotic T lymphocytes decreased, while the results were opposite after down-regulation of miR-877-3p. Conclusion miR-877-3p may be one of the causes of osteoporosis by inhibiting MCP-1 secretion of BMSCs and the migration and apoptosis of T lymphocytes.
Animals
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Female
;
Mice
;
Apoptosis/genetics*
;
Bone Marrow Cells/metabolism*
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Cell Differentiation
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Chemokine CCL2/metabolism*
;
Mesenchymal Stem Cells/metabolism*
;
MicroRNAs/metabolism*
;
Osteogenesis
;
Osteoporosis/genetics*
;
T-Lymphocytes/metabolism*
8.Loss of KDM4B impairs osteogenic differentiation of OMSCs and promotes oral bone aging.
Peng DENG ; Insoon CHANG ; Jiongke WANG ; Amr A BADRELDIN ; Xiyao LI ; Bo YU ; Cun-Yu WANG
International Journal of Oral Science 2022;14(1):24-24
Aging of craniofacial skeleton significantly impairs the repair and regeneration of trauma-induced bony defects, and complicates dental treatment outcomes. Age-related alveolar bone loss could be attributed to decreased progenitor pool through senescence, imbalance in bone metabolism and bone-fat ratio. Mesenchymal stem cells isolated from oral bones (OMSCs) have distinct lineage propensities and characteristics compared to MSCs from long bones, and are more suited for craniofacial regeneration. However, the effect of epigenetic modifications regulating OMSC differentiation and senescence in aging has not yet been investigated. In this study, we found that the histone demethylase KDM4B plays an essential role in regulating the osteogenesis of OMSCs and oral bone aging. Loss of KDM4B in OMSCs leads to inhibition of osteogenesis. Moreover, KDM4B loss promoted adipogenesis and OMSC senescence which further impairs bone-fat balance in the mandible. Together, our data suggest that KDM4B may underpin the molecular mechanisms of OMSC fate determination and alveolar bone homeostasis in skeletal aging, and present as a promising therapeutic target for addressing craniofacial skeletal defects associated with age-related deteriorations.
Aging
;
Cell Differentiation
;
Facial Bones/physiology*
;
Humans
;
Jumonji Domain-Containing Histone Demethylases/genetics*
;
Mesenchymal Stem Cells/cytology*
;
Osteogenesis
;
Osteoporosis
9.Changes in the gut microbiota of osteoporosis patients based on 16S rRNA gene sequencing: a systematic review and meta-analysis.
Rui HUANG ; Pan LIU ; Yiguang BAI ; Jieqiong HUANG ; Rui PAN ; Huihua LI ; Yeping SU ; Quan ZHOU ; Ruixin MA ; Shaohui ZONG ; Gaofeng ZENG
Journal of Zhejiang University. Science. B 2022;23(12):1002-1013
BACKGROUND: Osteoporosis (OP) has become a major public health issue, threatening the bone health of middle-aged and elderly people from all around the world. Changes in the gut microbiota (GM) are correlated with the maintenance of bone mass and bone quality. However, research results in this field remain highly controversial, and no systematic review or meta-analysis of the relationship between GM and OP has been conducted. This paper addresses this shortcoming, focusing on the difference in the GM abundance between OP patients and healthy controls based on previous 16S ribosomal RNA (rRNA) gene sequencing results, in order to provide new clinical reference information for future customized prevention and treatment options of OP. METHODS: According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), we comprehensively searched the databases of PubMed, Web of Science, Embase, Cochrane Library, and China National Knowledge Infrastructure (CNKI). In addition, we applied the R programming language version 4.0.3 and Stata 15.1 software for data analysis. We also implemented the Newcastle-Ottawa Scale (NOS), funnel plot analysis, sensitivity analysis, Egger's test, and Begg's test to assess the risk of bias. RESULTS: This research ultimately considered 12 studies, which included the fecal GM data of 2033 people (604 with OP and 1429 healthy controls). In the included research papers, it was observed that the relative abundance of Lactobacillus and Ruminococcus increased in the OP group, while the relative abundance for Bacteroides of Bacteroidetes increased (except for Ireland). Meanwhile, Firmicutes, Blautia, Alistipes, Megamonas, and Anaerostipes showed reduced relative abundance in Chinese studies. In the linear discriminant analysis Effect Size (LEfSe) analysis, certain bacteria showed statistically significant results consistently across different studies. CONCLUSIONS: This observational meta-analysis revealed that changes in the GM were correlated with OP, and variations in some advantageous GM might involve regional differences.
Middle Aged
;
Aged
;
Humans
;
Gastrointestinal Microbiome/genetics*
;
RNA, Ribosomal, 16S/genetics*
;
Genes, rRNA
;
Osteoporosis
;
Feces
10.Co-regulation of circadian clock genes and microRNAs in bone metabolism.
Tingting LI ; Shihua ZHANG ; Yuxuan YANG ; Lingli ZHANG ; Yu YUAN ; Jun ZOU
Journal of Zhejiang University. Science. B 2022;23(7):529-546
Mammalian bone is constantly metabolized from the embryonic stage, and the maintenance of bone health depends on the dynamic balance between bone resorption and bone formation, mediated by osteoclasts and osteoblasts. It is widely recognized that circadian clock genes can regulate bone metabolism. In recent years, the regulation of bone metabolism by non-coding RNAs has become a hotspot of research. MicroRNAs can participate in bone catabolism and anabolism by targeting key factors related to bone metabolism, including circadian clock genes. However, research in this field has been conducted only in recent years and the mechanisms involved are not yet well established. Recent studies have focused on how to target circadian clock genes to treat some diseases, such as autoimmune diseases, but few have focused on the co-regulation of circadian clock genes and microRNAs in bone metabolic diseases. Therefore, in this paper we review the progress of research on the co-regulation of bone metabolism by circadian clock genes and microRNAs, aiming to provide new ideas for the prevention and treatment of bone metabolic diseases such as osteoporosis.
Animals
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Circadian Clocks/genetics*
;
Circadian Rhythm/genetics*
;
Mammals/genetics*
;
MicroRNAs/genetics*
;
Osteogenesis/genetics*
;
Osteoporosis/genetics*

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