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BACKGROUND: Interferon-γ (IFN-γ) and monocyte chemoattractant protein-1 (MCP-1) play an important role in bone immunity and are closely related to the occurrence of osteoporosis. However, few studies have reported the diagnostic value of IFN-γ and MCP-1 in osteoporosis. OBJECTIVE: To explore the predictive value of peripheral blood IFN-γ and McP-1 in postmenopausal osteoporosis. METHODS: A total of 71 subjects were collected from the Outpatient department of the Third Affiliated Hospital of Guangzhou University of Chinese Medicine from December 2019 to January 2021 according to the prospective case-control principle, who were divided into osteoporosis group (n=35) and control group (n=36). Baseline data and levels of IFN-γ and MCP-1 were compared between the two groups. Risk factors were analyzed by binary logistics regression analysis. The correlation between the levels of IFN-γ and MCP-1 and bone mineral density and bone mineral content were analyzed. Receiver operating characteristic curve (ROC) was used to evaluate the predictive efficacy of IFN-γ and MCP-1 in postmenopausal osteoporosis. RESULTS AND CONCLUSION: There were no significant differences in age, height, body mass, body mass index and menopause time between the two groups (P > 0.05), but significant differences existed in T value, lumbar bone mineral density, lumbar bone mineral content, overall bone mineral density and overall bone mineral content between the two groups (P < 0.05). The level of IFN-γ in the osteoporosis group was significantly lower than that in the control group (P < 0.05), while the level of MCP-1 was significantly higher than that in the control group (P < 0.05). Univariate and multivariate logistic regression analyses showed that IFN-γ and MCP-1 were independent risk factors for postmenopausal osteoporosis. Receiver operating characteristic curve further confirmed that IFN-γ and MCP-1 had good predictive value for postmenopausal osteoporosis (IFN-γ AUC=0.7992, MCP-1 AUC=0.8001). The critical predictive values (IFN-γ < 1 456 ng/L, sensitivity 100%, specificity 50%; MCP-1 > 365.9 ng/L, sensitivity 85.29%, specificity 67.57%) were determined. Indeed, IFN-γ value < 1456 ng/L and MCP-1 value > 365.9 ng/L suggest that there may be bone loss in postmenopausal women. [ABSTRACT FROM AUTHOR]

Objective To investigate the changes of age, body mass index (BMI) and body composition in postmenopausal women and their relationship with osteoporosis. Methods The body composition and bone mineral density (BMD) data of 98 postmenopausal women over 45 years collected from the outpatient department of the Third Affiliated Hospital of Guangzhou University of Chinese Medicine from December 2019 to January 2021 were analyzed. According to the age and BMI of the subjects, the body composition of different age and BMI groups were compared.Spearman's rank correlation was used to analyze the effects of age, BMI and body composition on osteoporosis, and multiple linear regression was used to study the influencing factors of BMD and overall bone mineral content ( BMC). Results Both BMD(P < 0. 001) and BMC (P < 0. 05) in each age group decreased with age, while BMC (P < 0. 05 ), lean mass ( P <0. 001 ) and fat mass (P < 0. 001) in each BMI group increased with the BMI Spearman's rank correlation analysis showed that the severity of osteoporosis increased with age (P = 0. 005, r = 0. 281). The severity of osteoporosis was decreased with the increase of BMI ( P = 0. 019, r = -0. 237), BMC (P < 0. 001, r = -0. 719), lean mass (P = 0. 014, r = -0. 249) and fat mass ( P = 0. 013, r = - 0. 249). The result of multiple linear regression analysis showed that age was negatively correlated with BMD ( P = 0. 002, B = -0. 004) and BMC (P = 0. 000, B = -0. 013), while lean mass ( P = 0. 018, B = 0. 022) and fat mass ( P = 0. 037, B = 0. 027) were positively correlated with BMC in postmenopausal women Conclusion Age is a risk factor for osteoporosis in postmenopausal women, while BMI, lean mass and fat mass are protective factors, which can improve the BMD and BMC. [ABSTRACT FROM AUTHOR]

BACKGROUND: Osteoporosis can easily lead to a decline in the self-care ability of middle-aged and elderly people, and an increase in mortality and related medical expenses. The relationship among the main body components of the human body (fat, muscle, and bone) has not been clarified. Therefore, it is necessary to study their relationship and identify potential predictors of osteoporosis in patients. OBJECTIVE: To investigate the correlation between body composition and bone mineral density of the middle-aged and elderly people. METHODS: A total of 109 middle-aged and elderly people were selected as subjects, and their heights, body mass and other information were recorded. The dual-energy X-ray bone densitometer was used to detect the bone mineral density and body composition. According to the results of body mineral density, the subjects were divided into an osteoporosis group and a non-osteoporosis group. The distribution and relationship of basic data, bone mineral density, bone mineral content, lean mass and fat mass of each part were analyzed between the two groups. Chi-square test was used to detect the ratio of osteoporosis in different sexes, and Pearson correlation analysis was used to obtain the correlation degree of each factor and bone mineral density. RESULTS AND CONCLUSION: Women were more likely to suffer from osteoporosis. The age of the osteoporosis group was significantly higher than that of the non-osteoporosis group. Body mass, body mass index, bone mineral density, bone mineral content (overall, head, trunk, lower limbs), lean mass (overall, head, trunk, lower limbs), and fat mass (overall, head, upper limbs, lower limbs) in the osteoporosis group were significantly lower than those in the non-osteoporosis group. Pearson correlation analysis indicated that the bone mineral density of middle-aged and elderly people was significantly positively correlated with height, body mass, bone mineral content (overall, head, trunk, upper limbs, lower limbs), lean mass (overall, head, trunk, lower limbs) and fat mass (head), and negatively correlated with age. Therefore, osteoporosis is more common in women, and the middle-aged and elderly people with osteoporosis are older. Their bone mineral content, lean mass and fat mass of each part are lower than those without osteoporosis. The bone mineral density of the middle-aged and elderly people is highly correlated with the bone mineral content and lean mass of each part. Therefore, body composition can be used as an indirect reference index to evaluate the bone health status. Bone mineral content, lean mass and fat mass of each part have certain influence on the bone mineral density. [ABSTRACT FROM AUTHOR]

To identify the differences of biomarkers between high and low peak bone mass population, and their value in the diagnosis and treatment of osteoporosis. Methods The gene expression dataset ( GSE7158) of high and low peak bone mass population was obtained from GEO database. The differentially expressed genes were analyzed with limma package in R. Then GO functional annotation and KEGG pathway enrichment analysis were performed. All differential genes were input into the STRING database to obtain the protein-protein interaction (PPI) network. Cytohubba plug-in in Cytoscape and R was used to identify key genes and their interaction network was further mapped by Cytoscape. Finally, further verification of the expression and diagnostic value of key genes in osteoporosis was performed. Results A total of 182 differentially expressed genes were screened in high and low peak bone mass population, among which 73 were down-regulated, and 109 were up-regulated. KEGG pathway analysis showed that osteoclast differentiation pathway, PI3K-Akt signaling pathway, and AGE-RAGE signaling pathway in diabetic complications and ferroptosis were worthy of attention. PPI network analysis revealed 11 key genes : MCM7, Bub3, RBBP7, GNG2, FSHR, PCNA, CCR5, CDK16, SRSF7, NPMl, and CPSF6. Further validation analysis found that CCR5, CDK16, RBBP7, and SRSF7 were closely related to osteoporosis. Conclusion CCR5, CDK16, RBBP7, and SRSF7 may be closely related to the incidence of osteoporosis, and may become biomarkers for early screening of people at high risk of osteoporosis. This provides an effective basis for further experimental research and clinical treatment. [ABSTRACT FROM AUTHOR]

Objective To explore the influential factors of muscle mass in postmenopausal women in Guangzhou. Methods The clinical data of 120 postmenopausal women who volunteered to participate in this study in Guangzhou were collected from June 2019 to December 2020. Among them, 90 patients met the inclusion criteria. They were 47~88 years old, with an average age of 62.4±7.46 years old. Age, menopausal age, menopausal years, height, and weight of all patients were recorded. BMI was calculated. Bone mineral density (BMD) and muscle mass were measured and body composition was analyzed. The patients were divided into sarcopenia group and non-sarcopenia group according to ASMI. The differences of age, menopausal age, menopausal years, BMI, BMD, and muscle mass between the two groups were analyzed. The ratio of osteoporosis between the two groups was compared. Pearson correlation analysis was used to study the correlation between various factors and muscle mass. Multiple linear regression analysis was used to analyze the correlation between each index and muscle mass, and the regression equation was obtained. Results BMI and ASMI in the sarcopenia group were significantly lower than those in the non-sarcopenia group (P<0.05). The proportion of osteoporosis in the sarcopenia group was higher than that in the non-sarcopenia group (P>0.05). Pearson correlation analysis showed that menopausal age (r=0.262, P=0.012) and BMI (r=0.771, P<0.001) were positively correlated with ASMI. Multiple linear regression analysis showed that the main factors affecting ASMI of postmenopausal women were menopausal age (P=0.037, B=0.034) and BMI (P<0.001, B=0.177). The regression equation was ASMI=0.685+0.034xmenopausal age+0.177xBMI. Conclusion Patients with sarcopenia have a lower BMI than those without. Menopausal age and BMI are positively correlated with muscle mass in postmenopausal women. [ABSTRACT FROM AUTHOR]

Objective To systematically review the efficacy of traditional Chinese medicine (TCM) decoction or Chinese patent medicine for primary osteoporosis (POP) in Yang deficiency of the spleen and kidney, and to provide evidence for clinical decisionmaking. Methods Databases including China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodical Database (VIP), Wanfang data, China Biology Medicine disc (CBM), Pub Med, and Em base were searched from the establishment to 1 March 2022. Randomized controlled trials with TCM treatment for POP in type of Yang deficiency of the spleen and kidney were identified. The quality assessment was conducted by using the Cochrane risk of bias tool. Meta-analysis was performed using RevMan version 5. 3. Results Seventeen studies were included. Meta-analysis showed that in comparison with non-TCM treatment, TCM invigorating spleen and kidney showed a favorable effect in the total effective rate compared with Western medicine based on the change of bone mineral density (OR= 3. 22, 95% Cl 2. 07, 5. 00, P<0. 000 01) and the total effective rate of TCM assessed by TCM syndrome score (OR= 6. 26, 95% Cl 3. 12, 12. 58, P<0. 000 01). Compared with non-TCM, TCM showed a superior impact in improvement of lumbar bone mineral density (SMD = 0. 49, 95% CI 0. 03, 0. 95, P = 0. 03<0. 05), reduction of TCM syndrome scores (SMD = -1. 01, 95% CJ- I. 29, - 0. 73, P < 0. 000 01) and visual analogue scale (VAS, SMD = -1. 58, 95% Cl-2. 42, -0. 74, P = 0. 000 2<0. 05). There were no significant side effect to the patients. Conclusion In the treatment of POP with Yang deficiency of the spleen and kidney, TCM treatment is more effective in improving the total clinical effective rate, lumbar bone mineral density, reducing TCM syndrome score, and VAS than conventional Wes tern medicine treatment. Additionally, TCM has the advantage of high safety. [ABSTRACT FROM AUTHOR]

The aging of the population is unstoppable, and chronic non-communicable diseases have become a public health problem that seriously affects people's health and safety. As an age-related chronic disease, osteoporosis has the characteristics of high incidence rate, high disability rate, high medical expenses, long course of treatment, long course of treatment and low quality of life, there’s still not enough social focus. As an important part of China’s medical system, primary medical institutions plays a vital role in the prevention and treatment of osteoporosis. However, in the process of prevention and treatment, there are still some problems, such as low awareness rate, unclear drug choice, unclear self-orientation, unestablished medical information sharing platform and primary medical institutions to be improved. Based on the actual situation and characteristics of primary medical institutions, this paper holds that the prevention and treatment model of integrated Chinese and Western medicine is the key, and puts forward the six-word policy of “Nutrition, Sunshine and sports”, it is suggested that the development of disciplines and academic organizations should be continuously promoted, public health education and primary health care Continuing education should be strengthened, and osteoporosis should be included in the management of chronic diseases and classified diagnosis and treatment should be promoted, to achieve overall management and integrated management. [ABSTRACT FROM AUTHOR]

Objective To construct and analyze the miRNA-mRNA regulatory network related to osteoporosis via gene differentially expressed profile and WGCNA method . Methods Identified differentially expressed miRNA profiles, and miRNAs from clinical related module was obtained by WGCNA method. The overlap of module genes and differentia)ly expressed miRNAs were considered as key miRNAs. Subsequently predicted mRNAs and upstream transcription fac tors were acquired. Then intersected mRNAs of predicted targets and differentially expressed mRNAs were ide n的ed, based on which GO and KEGG enrichment analysis were performed. Finally, regulatory miRNA-mRNA network, taking PP! relationship into consideration, was constructed and analyzed by Cytoscape. Results A total of 6 differentially expressed and clinical related miRNAs were identified as key miRNAs, in which 2 were upregulated and 4 were downregulated. SP4, LHX3, NFIC, MYC and VSX2 were considered as key transcription factors of key miRNAs. GO and KEGG analysis indicated multiple processes and pathways were involved, among which Chemokine signaling pathway and p53 signaling pathway were worthy of attention. Conclusion The expression of miRNA-mRNA in osteoporosis is regulated through multiple ways and multiple targets, and hsa-miR-4500, CDKNlA and MAP2K7 are the core regulatory networks. This study provides a new insight into the study of the molecular mechanism and uncovering of new potential targets of osteoporosis, which has important g u心ng significance for elucidating the pathogenesis of osteoporosis and the development of potential drugs. [ABSTRACT FROM AUTHOR]

Objective To investigate the relationship between osteoporosis and knee osteoarthritis based on bioinformatics, Methods NCBI gene expression was screened from gene chips by Gene Expression Omnibus GEO) database. The differentially expressed miRNAS (DEmiRNAS) were picked using GEO2R tool and the target genes of miRNAS were predicted using milk and Targetscan Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway chment analyses were performed for the target genes ising DAVID. Cytoscape and STRING were used to visualize p ein-protein interaction (PPI) of these target genes. Results Four DEmiRNA were obtained. PPI network was developed with 278 modes and 545 edges. Ten genes were selected as core penes. Including VEGEA. ESRI, CONDI. PRKACA, GSK Is, IREX, SHH, EGRI. DNMT3A. and DNMT3B. Conclusion The discovery of key genes and miRNAS nay help to utterstand the pathophysiology of osteoporosis and ne osteoarthritis and to provide therapeutic targets for the developent of drugs. [ABSTRACT FROM AUTHOR]

BACKGROUND: Gypenosides have antioxidant properties, with beneficial effects such as reducing blood pressure, anti-aging and anti-tumor, but the specific protective mechanism is not clear.It isalso unknown whether gypenosides have effect on the proliferation and differentiation of oxidative stress-damaged osteoblasts. OBJECTIVE: To investigate the mechanism by which gypenosides alleviate oxidative stress injury in rat osteoblasts and the effect on the proliferation and differentiation of oxidatively damaged osteoblasts. METHODS: Monolayer cell culture method was used to separate neonatal rat skull cells for the culture of osteoblasts. In this experiment, there were three groups, with normal culture medium as blank group, normal culture medium+oxidative damage as control group, and normal culture medium containing gypenosides and oxidative damage as experimental group. Osteoblasts in the experimental and control groups were cultured in the culture medium containing 150 μmol/L H2O2. After 3 and 5 days of intervention, cell counting kit-8 method was used to detect the effects of gypenosides on oxidative damage of osteoblasts. Alkaline phosphatase staining was used to detect alkaline phosphatase activity on day 7 after induction. Alizarin red staining was used on day 21 of induction to observe osteoblast mineralization. Western blot was used to detect the expression of NOX4, bone morphogenetic protein 2 and Smad4. The experimental protocol was approvedby the Animal Ethics Committee of Guangzhou University of Chinese Medicine.RESULTS AND CONCLUSION: Gypenosides could promote the proliferation of oxidatively damaged osteoblasts. The results of alkaline phosphatase staining and alizarin red staining showed that gypenosides could promote the differentiation of oxidatively damaged osteoblasts. Compared with the control group, gypenosides could down regulate the expression of NOX4 protein and upregulate the expression of bone morphogenetic protein 2 and Smad4 protein in the experimental group, with statistically significant results (P< 0.05). All these findings indicate that gypenosides have a protective effect on H2O2-induce doxidative stress injuryin osteoblasts, and promote the proliferation and differentiation of damaged osteoblasts. The mechanism may be related to the inhibition of Nox4 protein expression and the activation of bone morphogenetic protein/Smad pathway. [ABSTRACT FROM AUTHOR]