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Background: Both diabetes and osteoporosis have developed into major global public health problems due to the increasing aging population. It is crucial to screen populations at higher risk of developing osteoporosis for disease prevention and management in postmenopausal women with type 2 diabetes (T2D). This study aims to quantitatively investigate the association between risk factors and bone mineral density (BMD) and develop a self-assessment tool for early osteoporosis screening in postmenopausal women with T2D., Methods: We retrospectively enrolled 1,309 postmenopausal women with T2D. Linear regression methods were used to assess the association between risk factors and BMD. Additionally, a multivariate logistic regression analysis was performed to identify independent risk factors associated with osteoporosis. Utilizing the logistic regression machine learning algorithm, we developed an osteoporosis screening tool that categorizes the population into three risk regions based on age and body mass index (BMI), indicating low, moderate, and high prevalence of osteoporosis in the age-BMI plane., Results: Older age and lower BMI were independently associated with decreased BMD. The BMD at the total hip, femur neck, and lumbar spine differed by 12.9, 10.9, and 15.5 mg/cm 2 for each 1 unit increase in BMI, respectively. Both age and BMI were identified as independent predictors of osteoporosis. The osteoporosis screening tool was developed by using two straight lines with equations of BMI = 0.56 * age-4.12 and BMI = 0.56 * age-10.88; there were no significant differences in the prevalence of osteoporosis among the training, internal test, and external test datasets in the low-, moderate-, and high-risk regions., Conclusion: We have successfully developed and validated a self-assessment tool for early osteoporosis screening in postmenopausal women with T2D for the first time. BMI was identified as a significant modifiable risk factor. Our study may improve awareness of osteoporosis and is valuable for disease prevention and management for postmenopausal women with T2D., Competing Interests: Yuguo Wei is employed by GE Healthcare. The authors declare that they have no competing interests., (© 2024 Chen et al.)

This investigation aims to employ Olink proteomics in analyzing the distinct serum proteins associated with postmenopausal osteoporosis (PMOP) and identifying prognostic markers for early detection of PMOP via molecular mechanism research on postmenopausal osteoporosis. Postmenopausal women admitted to Beijing Jishuitan Hospital were randomly selected and categorized into three groups based on their dual-energy X-ray absorptiometry (DXA) T-scores: osteoporosis group ( n = 24), osteopenia group ( n = 20), and normal bone mass group ( n = 16). Serum samples from all participants were collected for clinical and bone metabolism marker measurements. Olink proteomics was utilized to identify differentially expressed proteins (DEPs) that are highly associated with postmenopausal osteoporosis. The functional analysis of DEPs was performed using Gene Ontology and Kyto Encyclopedia Genes and Genomes (KEGG). The biological characteristics of these proteins and their correlation with PMOP were subsequently analyzed. ROC curve analysis was performed to identify potential biomarkers with the highest diagnostic accuracy for early stage PMOP. Through Olink proteomics, we identified five DEPs highly associated with PMOP, including two upregulated and three downregulated proteins. TWEAK and CDCP1 markers exhibited the highest area under the curve (0.8188 and 0.8031, respectively). TWEAK and CDCP1 have the potential to serve as biomarkers for early prediction of postmenopausal osteoporosis.

Objective: To verify the discriminative power of irisin in osteoporosis patients., Methods: The comparative case-control study was conducted at the University Teaching Hospital, Baghdad, Iraq, from March 2020 to June 2021 after approval from the ethics review committee of the College of Medicine, Mustansiriyah University, Baghdad, and comprised post-menopausal women. After being scanned by dual-energy X-ray absorptiometer, the subjects were divided into groups based on T-scores; healthy controls with T-score > -1 in group 1, and osteoporosis patients with T-score ≤-2.5 in group 2. Participants' sera were tested for Irisin, 25- hydroxy vitamin D, and carboxyl-terminal telopeptides of type I collagen levels. T-score and bone mineral density were recorded as radiological markers. Correlation of irisin was determined with T-score and bone mineral density, cut-off value for serum irisin was worked out for osteoporosis prediction. Data was analysed using Medcalic 17., Results: Of the 142 women, 71(50%) were in group 1 with mean age 58.4±3.5 years, and 71(50%) were in group 2 with mean age 58.7±3.4 years (p=0.87). Levels of irisin, 25-hydroxy vitamin D, carboxyl-terminal telopeptides of type I collagen, bone mineral density and T-scores were significant between the groups (p<0.001). Serum irisin correlated directly with bone mineral density (r=0.97, p<0.001) and inversely with T-score (r= -0.95, p<0.001). The cut-off value of serum irisin was 31.4ng/ml with 84% sensitivity and 100% specificity (p<0.001)., Conclusions: Strong serum irisin correlation to osteoporosis radiological markers and its good discrimination of osteoporosis implied its utility as a good serological marker of osteoporosis.

Osteoporosis is a significant health concern for postmenopausal women, necessitating efficient screening methods for bone health. This study explores the potential of muscle function, assessed through the 30-s chair stand test (CS-30), as an indicator for low bone stiffness in this demographic, aiming to establish a practical threshold for large-scale fitness surveillance without the need for specialized tools. We analyzed data from 1055 community-dwelling postmenopausal Japanese women, aged 41-89 years, collected between 2016 and 2019. Participants underwent CS-30 to evaluate muscle function alongside quantitative ultrasound (QUS) measurements to assess bone stiffness. The cohort was divided into two groups for the development and validation of a cutoff point for low bone stiffness, defined as a QUS speed of sound less than 1487.3 m/s. The CS-30 cutoff was determined using receiver operating characteristic (ROC) curve analysis and validated through logistic regression, accounting for age, body mass index, and smoking status. Among 577 postmenopausal women, 16.0% exhibited low bone stiffness. In the development group (n = 382), ROC analysis identified a CS-30 cutoff of 25 repetitions for detecting low bone stiffness, with an area under the curve of 0.744 (P < 0.001). In the validation group (n = 195), participants performing ≥ 25 repetitions had a higher risk of low bone stiffness compared to those performing ≤ 24 repetitions. The CS-30 test is an effective preliminary screening tool for identifying postmenopausal women at risk of low bone stiffness, with a threshold of 25 repetitions. This method could facilitate early detection of individuals at higher osteoporosis risk, promoting timely intervention., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Study Design: A systematic review and Meta-analysis., Objective: To compare the efficacy and safety of denosumab and teriparatide versus oral bisphosphonates to treat postmenopausal osteoporosis., Summary of Background Data: While bisphosphonates have historically been the cornerstone of pharmacological management for bone protection in patients, emerging evidence suggests that teriparatide and denosumab warrant further investigation as potential first-line treatments. The optimal choice among denosumab, teriparatide, and oral bisphosphonates for the treatment of postmenopausal osteoporosis remains a subject of ongoing debate and controversy within the scientific community., Methods: This systematic review adhered meticulously to the rigorous standards outlined by the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines as well as the Cochrane Collaboration recommendations. Additionally, it employed the AMSTAR (Assessing the methodological quality of systematic reviews) criteria to ensure methodological robustness and enhance the credibility of the findings. A systematic electronic search was conducted across Web of Science, PubMed, and the Cochrane Library databases from their inception dates up to February 2024., Results: In this meta-analysis of studies, our findings suggest that compared to bisphosphonates, both teriparatide and denosumab demonstrated notable increases in percentage changes in lumbar spine bone mineral density (BMD) among postmenopausal osteoporosis patients. Furthermore, denosumab exhibited superiority over teriparatide and oral bisphosphonates in enhancing percentage changes in both femoral neck and total hip BMD, indicating its potential as a more efficacious option. Regarding safety outcomes, no significant differences were observed in the incidence of serious adverse events among patients treated with teriparatide, denosumab, and bisphosphonates. However, teriparatide showed superiority over oral bisphosphonates in terms of a lower risk of general adverse events, suggesting a favorable safety profile., Conclusion: In conclusion, our study suggests that teriparatide and denosumab demonstrate comparable or potentially superior efficacy and safety profiles compared to oral bisphosphonates for the treatment of postmenopausal osteoporosis., Systematic Review Registration: PROSPERO, identifier CRD42024508382., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Yang, Guo, Cui, Guo and Dong.)

Background: Acute-phase reactions (APRs) are common among people treated for the first time with zoledronate (ZOL). The current view is that both the APRs caused by ZOL and its efficacy are related to the mevalonic acid pathway. However, the relationship between APRs and ZOL efficacy remains unclear., Methods: This was a prospective observational cohort study involving postmenopausal women with osteoporosis in Shanghai, China, for 1 year. A total of 108 patients with an average age of 67.4 ± 5.8 years were treated with 5 mg intravenous ZOL for the first time. Data on demographic characteristics, APRs, blood counts, bone turnover markers, including C-telopeptide collagen crosslinks (CTX) and N-terminal propeptide of type 1 collagen (PINP), and bone mineral density (BMD) were collected., Results: (1) The results did not reveal a relationship between APRs and changes in bone turnover markers and BMD but showed that changes in body temperature (T) within 3 days after administration were positively correlated with changes in the BMD of the LS at Month 12 (β = 0.279 P = 0.034). (2) This effect was mediated mainly by changes in serum CTX (b = 0.046, 95% CI [0.0010-0.0091]). (3) The ROC curve revealed that when T increased by 1.95 °C, the sensitivity and specificity of identifying clinically important changes in LS BMD after 1 year were optimized., Conclusions: In this study, we tested the hypothesis that people with elevated body T after initial ZOL treatment had greater improvements in BMD and better outcomes., Trial Registration: NCT, NCT03158246. Registered 18/05/2017., (© 2024. The Author(s).)

Osteoporosis is characterized by increased bone turnover and reduced bone mass, leading to skeletal fragility and heightened fracture risk. It is a growing public health concern with expectations for a continued significant rise of fractures by 50% in 2030. Diagnosis is typically based on body mineral density with a T-score of -2.5 or lower indicating osteoporosis. Treatment duration varies, and is determined by careful monitoring of fracture risk and timing for potential drug holidays. Emerging therapies and ongoing research continue to evolve the landscape of osteoporosis management, aiming to reduce fracture risk and improve patient outcomes., Competing Interests: Disclosure The author has nothing to disclose., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Objective: This study aims to investigate the correlation between changes in bone mineral density (BMD) in postmenopausal women and circulating inflammatory markers., Methods: This retrospective study focused on postmenopausal women admitted to the orthopedic department of Suzhou Benq Medical Center from June 2022 to December 2023, following predetermined inclusion and exclusion criteria. We retrospectively collected data on initial blood routine test results and bone density measurements for all study subjects upon admission, including parameters such as white blood cell count (WBC), C-reactive protein, interleukin-6 (IL-6), and procalcitonin (PCT). Additionally, the systemic immune-inflammation index (SII) was calculated using neutrophil count, lymphocyte count, and platelet count. Statistical analyses using SPSS and GraphPad software were performed to assess the correlation between bone density and inflammatory markers., Results: Patients were classified into three groups based on BMD results, including 60 individuals in the osteoporosis (OP) group, 127 individuals in the osteopenia group, and 37 individuals in the Normal group, respectively. Principal component analysis analysis suggested that WBC, SII, and postmenopausal OP (PMOP) held significant feature values. Correlation analysis indicated a correlation between WBC (p = 0.021), IL-6 (p = 0.044), SII (p = 0.034), and PMOP. One-way ANOVA analysis revealed significant differences in IL-6 (p = 0.0179), SII (p = 0.0210), and PCT (p = 0.0200) among the three groups. Finally, ROC curve analysis demonstrated that SII (area under the curve = 0.716) has predictive value for PMOP., Conclusion: This study identified a certain predictive value for PMOP through the assessment of inflammatory markers in peripheral blood using routine blood tests., (© 2024 The Author(s). Immunity, Inflammation and Disease published by John Wiley & Sons Ltd.)

Purpose: This study aimed to reveal the association between the osteoporosis self-assessment tool for Asians (OSTA) and airflow limitation (AL) in post-menopausal Japanese women., Participants and Methods: This cross-sectional study included 1580 participants undergoing a comprehensive health examination using spirometry and dual-energy X-ray absorptiometry. The OSTA was calculated by subtracting the age in years from the body weight (BW) in kilograms, and the result was multiplied by 0.2. The OSTA risk level was defined as low (>-1), moderate (-4 to -1), or high (<-4). AL was defined as forced expiratory volume in 1 s/forced vital capacity (FEV 1 /FVC) <0.7. The association between the OSTA and AL was assessed using logistic regression analysis., Results: The prevalence of AL was significantly higher in the high OSTA group (15.3%) than in the low OSTA group (3.1%) (p<0.001). In multiple linear regression analysis, the OSTA was independently associated with FEV 1 /FVC. In logistic regression models adjusted for smoking status, alcohol consumption, current use of medication for diabetes, hyperglycemia, rheumatoid arthritis, second-hand smoke, and ovary removal showed a significantly higher risk of AL (odds ratio: 5.48; 95% confidence interval: 2.90-10.37; p<0.001) in participants with OSTA high risk than in those with OSTA low risk., Conclusion: These results suggest that the OSTA high risk indicates reduced BMD at the femoral neck and presence of AL in Japanese post-menopausal women aged ≥45 years., Competing Interests: The authors report no conflicts of interest in this work., (© 2024 Watanabe et al.)

Background and Aims: Postmenopausal osteoporosis (PMO) and type 2 diabetes mellitus (T2DM) frequently coexist in postmenopausal women. The study aimed to explore metabolic variations linked to these circumstances and their simultaneous presence through proton nuclear magnetic resonance metabolomics ( 1 H NMR)., Materials and Methods: Serum samples from 80 postmenopausal women, including 20 PMO individuals, 20 T2DM, 20 T2DM + PMO, and 20 healthy postmenopausal women, were analyzed using 1 H NMR spectroscopy., Results: Our study revealed significant metabolic profile differences among the four groups. Notably, the T2DM + PMO group showed elevated levels of alanine, pyruvate, glutamate, lactate, and aspartate, indicating their involvement in lipid metabolism, energy, and amino acids. Importantly, our multivariate statistical analysis identified a metabolite set that accurately distinguished the groups, suggesting its potential as an early diagnostic marker., Conclusion: The 1 H NMR metabolomics approach uncovered metabolic biomarkers intricately linked to postmenopausal osteoporosis (PMO), type 2 diabetes mellitus (T2DM), and their concurrent presence. Among these biomarkers, alanine emerged as a pivotal player, showing its significant role in the metabolic landscape associated with PMO and T2DM. These findings shed light on the pathophysiological mechanisms underlying these conditions and underscore alanine's potential as a diagnostic biomarker., Competing Interests: Declaration of competing interest The authors declare no conflict of interest., (Copyright © 2024 Elsevier B.V. All rights reserved.)

In October 2023, the organization of the German-speaking scientific osteological societies (DVO) published the revised guideline on the "Prophylaxis, diagnosis and treatment of osteoporosis in postmenopausal women and in men aged over 50." This review article reflects the new features of the guideline and their relevance in the care of patients with inflammatory rheumatic diseases.A key innovation is the change from the 10-year fracture risk to the 3‑year fracture risk. Basic diagnostics are currently performed without a defined fracture threshold. Treatment thresholds for specific osteological therapy constitute another key innovation, defined as 3% to < 5%, 5% to < 10%, and from 10% for vertebral body and femoral neck fractures. If the 3‑year fracture risk is > 10%, osteoanabolic therapy should primarily be carried out and antiresorptive therapy is initiated following osteoanabolic therapy. In addition, patients with osteoporosis and prolonged glucocorticoid therapy should primarily be treated osteoanabolically with teriparatide. In summary, the changes to the DVO guideline reflect the latest scientific study findings in osteology and lead to detailed differential therapy for osteoporosis., (© 2024. The Author(s).)

Osteoporosis (OP) is a common complication of postmenopausal women with rheumatoid arthritis (RA). Herein, the objective of our study was to explore the correlation between serum matrix metalloproteinase 3 (MMP3) and OP among postmenopausal women with RA to foster better diagnosis and treatment. A total of 208 elderly postmenopausal women with RA were included in this study, with 83 patients diagnosed with OP after RA diagnosis and 125 patients without OP. Serum MMP3 levels and bone mineral density (BMD) were measured and compared. The predictive value of serum MMP3 for OP in this population was also analyzed using receiver operating curve (ROC) analysis. Postmenopausal women with RA and OP diagnosis had markedly higher serum MMP3 levels, compared to those without OP. ROC analysis showed that serum MMP3 had predictive value for OP. Additionally, a negative correlation was observed between serum MMP3 levels and BMD. High serum MMP3 levels were also found to be associated with high abnormal bone metabolism. We found that serum MMP3 levels are strongly correlated with OP in postmenopausal women with RA and that elevated levels of serum MMP3 are linked to low BMD and high abnormal bone metabolism. Serum MMP3 may be a useful biomarker for predicting OP in this population, and could potentially aid in the development of targeted prevention and treatment strategies., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 American Society for Histocompatibility and Immunogenetics. Published by Elsevier Inc. All rights reserved.)

The Wnt signaling pathway is essential for bone development and maintaining skeletal homeostasis, making it particularly relevant in osteoporosis patients. Our study aimed to identify distinct molecular clusters associated with the Wnt pathway and develop a diagnostic model for osteoporosis in postmenopausal Caucasian women. We downloaded three datasets (GSE56814, GSE56815 and GSE2208) related to osteoporosis from the GEO database. Our analysis identified a total of 371 differentially expressed genes (DEGs) between low and high bone mineral density (BMD) groups, with 12 genes associated with the Wnt signaling pathway, referred to as osteoporosis-associated Wnt pathway-related genes. Employing four independent machine learning models, we established a diagnostic model using the 12 osteoporosis-associated Wnt pathway-related genes in the training set. The XGB model showed the most promising discriminative potential. We further validate the predictive capability of our diagnostic model by applying it to three external datasets specifically related to osteoporosis. Subsequently, we constructed a diagnostic nomogram based on the five crucial genes identified from the XGB model. In addition, through the utilization of DGIdb, we identified a total of 30 molecular compounds or medications that exhibit potential as promising therapeutic targets for osteoporosis. In summary, our comprehensive analysis provides valuable insights into the relationship between the osteoporosis and Wnt signaling pathway., (© 2024. The Author(s).)

Background: Despite the existence of effective treatments and prescribed therapeutic protocols, there is a lack of management of osteoporosis, resulting in increased secondary morbidity and mortality. The general practitioner (GP) is the first-line practitioner for the detection and management of osteoporosis., Objective: This study was conducted to explore the practices, knowledge, and difficulties in postmenopausal osteoporosis management reported by GPs., Methods: An anonymous questionnaire (19 questions) was created via Google Forms and distributed to 300 GPs via social networks (WhatsApp, Facebook, and Gmail). The survey results were automatically calculated on "Google Forms" and checked using SPSS.20 software., Results: A total of 129 responses were received, representing a response rate of 43%. The majority of respondents were women (67.2%). The definition of osteoporosis was variable, with 51.6% defining it as a T-score of ≤-2.5 SD, 25.8% defining it as diffuse bone demineralization, and 12.1% defining it as a fracture after falling with low energy. Prolonged corticosteroid therapy was the most commonly indicated reason for measuring bone mineral density (BMD) (81.39%). The calcium phosphate balance was the most requested (90.1%). Vitamin D and calcium supplementation were reported by 74.41% and 54.26% of GPs, respectively. Fracture of the upper end of the femur was the main therapeutic indication (65.11%). Most GPs surveyed (73.3%) were unfamiliar with the fracture risk assessment tool (FRAX). Most of the GPs gave advice on fall prevention to their patients (83.72%), and 62.5% of GPs monitored their patients' height. Anti-osteoporosis treatment was maintained for 3 to 5 years by 44.96% of GPs., Conclusion: Our survey found that the practices and knowledge of GPs on osteoporosis vary widely and often deviate from the recommended standards. This highlights the need for more excellent education of GPs, due to their vital role in the management of osteoporosis., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Background: Participants with prediabetes are at a high risk of developing type 2 diabetes (T2D). Recent studies have suggested that blocking the receptor activator of nuclear factor-κB ligand (RANKL) may improve glucose metabolism and delay the development of T2D. However, the effect of denosumab, a fully human monoclonal antibody that inhibits RANKL, on glycemic parameters in the prediabetes population is uncertain. We aim to examine the effect of denosumab on glucose metabolism in postmenopausal women with osteoporosis and prediabetes., Methods: This is a 12-month multicenter, open-label, randomized controlled trial involving postmenopausal women who have been diagnosed with both osteoporosis and prediabetes. Osteoporosis is defined by the World Health Organization (WHO) as a bone mineral density T score of ≤ - 2.5, as measured by dual-energy X-ray absorptiometry (DXA). Prediabetes is defined as (i) a fasting plasma glucose level of 100-125 mg/dL, (ii) a 2-hour plasma glucose level of 140-199 mg/dL, or (iii) a glycosylated hemoglobin A1c (HbA1c) level of 5.7-6.4%. A total of 346 eligible subjects will be randomly assigned in a 1:1 ratio to receive either subcutaneous denosumab 60 mg every 6 months or oral alendronate 70 mg every week for 12 months. The primary outcome is the change in HbA1c levels from baseline to 12 months. Secondary outcomes include changes in fasting and 2-hour blood glucose levels, serum insulin levels, C-peptide levels, and insulin sensitivity from baseline to 12 months, and the incidence of T2D at the end of the study. Follow-up visits will be scheduled at 3, 6, 9, and 12 months., Discussion: This study aims to provide evidence on the efficacy of denosumab on glucose metabolism in postmenopausal women with osteoporosis and prediabetes. The results derived from this clinical trial may provide insight into the potential of denosumab in preventing T2D in high-risk populations., Trial Registration: This study had been registered in the Chinese Clinical Trials Registry., Registration Number: ChiCTR2300070789 on April 23, 2023. https://www.chictr.org.cn ., (© 2023. The Author(s).)

We aimed to identify protein biomarkers that could rapidly and accurately diagnose osteoporosis patients (OPs) using a highly sensitive proteomic immunoassay. Four-dimensional (4D) label-free proteomics analysis was performed to determine the differentially expressed proteins in serum collected from 10 postmenopausal osteoporosis patients and 6 non-osteoporosis patients. The ELISA method was used to select the predicted proteins for verification. Serum was taken from 36 postmenopausal osteoporosis patients and 36 healthy individuals from normal postmenopausal women. Receiver operating characteristic (ROC) curves were used to determine the diagnostic potential of this method. We validated the expression of these six proteins using ELISA. The CDH1, IGFBP2, and VWF of osteoporosis patients were significantly higher than those of the normal group. PNP was significantly lower than that in the normal group. And using ROC curve calculation, serum CDH1 had a cut-off of 3.78 ng/mL with a sensitivity of 84.4%, and PNP had a cut-off of 944.32 ng/mL with 88.9% sensitivity. These outcomes suggest that serum-level CHD1 and PNP have the potential power as effective indicators for the diagnosis of PMOP. Our results suggest that CHD1 and PNP might be associated with the pathogenesis of OP and would be helpful in diagnosing OP. Therefore, CHD1 and PNP may act as potential key markers in OP., (© 2023 Orthopaedic Research Society.)

Background: Postmenopausal osteoporosis (PMOP) is a prevalent bone disorder with significant global impact. The elevated risk of osteoporotic fracture in elderly women poses a substantial burden on individuals and society. Unfortunately, the current lack of dependable diagnostic markers and precise therapeutic targets for PMOP remains a major challenge., Methods: PMOP-related datasets GSE7429, GSE56814, GSE56815, and GSE147287, were downloaded from the GEO database. The DEGs were identified by "limma" packages. WGCNA and Machine Learning were used to choose key module genes highly related to PMOP. GSEA, DO, GO, and KEGG enrichment analysis was performed on all DEGs and the selected key hub genes. The PPI network was constructed through the GeneMANIA database. ROC curves and AUC values validated the diagnostic values of the hub genes in both training and validation datasets. xCell immune infiltration and single-cell analysis identified the hub genes' function on immune reaction in PMOP. Pan-cancer analysis revealed the role of the hub genes in cancers., Results: A total of 1278 DEGs were identified between PMOP patients and the healthy controls. The purple module and cyan module were selected as the key modules and 112 common genes were selected after combining the DEGs and module genes. Five Machine Learning algorithms screened three hub genes (KCNJ2, HIPK1, and ROCK1), and a PPI network was constructed for the hub genes. ROC curves validate the diagnostic values of ROCK1 in both the training (AUC = 0.73) and validation datasets of PMOP (AUC = 0.81). GSEA was performed for the low-ROCK1 patients, and the top enriched field included protein binding and immune reaction. DCs and NKT cells were highly expressed in PMOP. Pan-cancer analysis showed a correlation between low ROCK1 expression and SKCM as well as renal tumors (KIRP, KICH, and KIRC)., Conclusions: ROCK1 was significantly associated with the pathogenesis and immune infiltration of PMOP, and influenced cancer development, progression, and prognosis, which provided a potential therapy target for PMOP and tumors. However, further laboratory and clinical evidence is required before the clinical application of ROCK1 as a therapeutic target.

Background: Postmenopausal osteoporosis (PMOP) is a common condition that leads to a loss of bone density and an increased risk of fractures in women. Recent evidence suggests that exosomal miRNAs are involved in regulating bone development and osteogenesis. However, exosomal miRNAs as biomarkers for PMOP diagnosis have not been systematically evaluated. In this study, we aim to identify PMOP-associated circulating exosomal miRNAs and evaluate their diagnostic performance., Methods: We performed next-generation sequencing and bioinformatics analysis of plasma exosomal miRNAs from 12 PMOP patients and 12 non-osteoporosis controls to identify PMOP-associated exosomal miRNAs, and then validated them in an independent natural community cohort with 26 PMOP patients and 21 non-osteoporosis controls. Exosomes were isolated with the size exclusion chromatography method from the plasma of elder postmenopausal women. The plasma exosomal miRNA profiles were characterized in PMOP paired with controls with next-generation sequencing. Potential plasma exosomal miRNAs were validated by qRT-PCR in the validation cohort, and their performance in diagnosing PMOP was systematically evaluated with the receiver operating characteristic curve., Results: Twenty-seven miRNAs were identified as differentially expressed in PMOP versus controls in sequencing data, of which six exosomal miRNAs (miR-196-5p, miR-224-5p, miR320d, miR-34a-5p, miR-9-5p, and miR-98-5p) were confirmed to be differentially expressed in PMOP patients by qRT-PCR in the validation cohort. The three miRNAs combination (miR-34a-5p + miR-9-5p + miR-98-5p) demonstrated the best diagnostic performance, with an AUC = 0.734. In addition, the number of pregnancies was found to be an independent risk factor that can improve the performance of exosomal miRNAs in diagnosing PMOP., Conclusions: These results suggested that the plasma exosomal miRNAs had the potential to serve as noninvasive diagnostic biomarkers for PMOP., (© 2023. The Author(s).)

Background: Osteoporosis (OP) is one of the diseases that endanger the health of the elderly population. Klotho protein is a hormone with anti-aging effects. A few studies have discussed the relationship between Klotho and OP. However, there is still a lack of research on larger populations. This study aims to evaluate the association between OP and Klotho in American postmenopausal women., Methods: This is a retrospective study. We searched the National Health and Nutrition Examination Survey (NHANES) database and collected data of 3 survey cycles, finally involving 871 postmenopausal women over 50 years old in the present study. All participants took dual-energy X-ray absorptiometry examination and serum Klotho testing at the time of investigation. After adjusting the possible confounding variables, a multivariate regression model was employed to estimate the relationship between OP and Klotho proteins. Besides, the P for trend and restricted cubic spline (RCS) were applied to examine the threshold effect and calculate the inflection point., Results: Factors influencing the occurrence of OP included age, ethnicity, body mass index and Klotho levels. Multivariate regression analysis indicated that the serum Klotho concentration was lower in OP patients than that in participants without OP (OR[log 2 Klotho] = 0.568, P = 0.027). The C-index of the prediction model built was 0.765, indicating good prediction performance. After adjusting the above-mentioned four variables, P values for trend showed significant differences between groups. RCSs revealed that when the Klotho concentration reached 824.09 pg/ml, the risk of OP decreased drastically., Conclusion: Based on the analysis of the data collected from the NHANES database, we propose a correlation between Klotho and postmenopausal OP. A higher serum Klotho level is related to a lower incidence of OP. The findings of the present study can provide guidance for research on diagnosis and risk assessment of OP., (© 2023. The Author(s).)

Objectives: The aims of the study are to understand the prevalence of osteoporosis in postmenopausal women in urban Tianjin, China and its related factors through a questionnaire and to assess the correlation between individual characteristics, physical mobility, psychological and emotional well-being, and prevalence, as well as people's awareness of osteoporosis., Methods: We selected 240 postmenopausal women from 12 randomly selected streets in 6 administrative districts of Tianjin for bone mineral density measurement and a face-to-face questionnaire survey to obtain the relevant data. Female residents who had lived in the communities under the jurisdiction of the incorporated streets for more than 10 years and had been in menopause for 2 years were included. The women were made aware of the study, there were no communication barriers, and they were willing to undergo dual-energy absorptiometry and cooperate in completing the questionnaire. We used one-way analysis of variance, Fisher exact test, and Pearson correlation analysis for the statistical analysis., Results: The overall prevalence of osteoporosis in postmenopausal women in the six districts of Tianjin was found to be 52.08%, and the χ 2 test for trend showed a clear trend of increasing with age ( P = 0.035). Body mass index was found to be the most significant personal characteristic affecting the prevalence of osteoporosis; the mean values of the nonosteoporosis and osteoporosis group were (25.45 ± 3.09) and (23.85 ± 3.16), respectively ( P < 0.001); previous fractures were closely associated with the prevalence of osteoporosis. Awareness about osteoporosis had not disseminated among the population, and 9.17% of the participants had never heard of the disease. While 75.42% and 72.92% of the participants, respectively, believe that the harm of osteoporosis cannot be compared with heart disease and cerebral infarction, 56.67% had never had an examination for osteoporosis and paid little to no attention to this disease. People still had major misconceptions about the hazards of osteoporosis and common-sense precautions that needed to be followed., Conclusions: Although osteoporosis is prevalent among postmenopausal women in urban Tianjin and is strongly linked to both history of fracture and body mass index, most women are only familiar with the disease's name and lack an understanding of the dangers it poses as well as the importance of early diagnosis and treatment. To ensure the prevention and control of osteoporosis, it is crucial to focus on increasing the examination and treatment rates and spreading awareness of the three-level diagnosis and treatment pattern among the public., Competing Interests: Financial disclosures/conflicts of interest: None reported., (Copyright © 2023 by The North American Menopause Society.)

A machine learning model using clinical, laboratory, and imaging data was developed to predict 10-year risk of menopause-related osteoporosis. The resulting predictions, which are sensitive and specific, highlight distinct clinical risk profiles that can be used to identify patients most likely to be diagnosed with osteoporosis., Purpose: The aim of this study was to incorporate demographic, metabolic, and imaging risk factors into a model for long-term prediction of self-reported osteoporosis diagnosis., Methods: This was a secondary analysis of 1685 patients from the longitudinal Study of Women's Health Across the Nation using data collected between 1996 and 2008. Participants were pre- or perimenopausal women between 42 and 52 years of age. A machine learning model was trained using 14 baseline risk factors-age, height, weight, body mass index, waist circumference, race, menopausal status, maternal osteoporosis history, maternal spine fracture history, serum estradiol level, serum dehydroepiandrosterone level, serum thyroid-stimulating hormone level, total spine bone mineral density, and total hip bone mineral density. The self-reported outcome was whether a doctor or other provider had told participants they have osteoporosis or treated them for osteoporosis., Results: At 10-year follow-up, a clinical osteoporosis diagnosis was reported by 113 (6.7%) women. Area under the receiver operating characteristic curve of the model was 0.83 (95% confidence interval, 0.73-0.91) and Brier score was 0.054 (95% confidence interval, 0.035-0.074). Total spine bone mineral density, total hip bone mineral density, and age had the largest contributions to predicted risk. Using two discrimination thresholds, stratification into low, medium, and high risk, respectively, was associated with likelihood ratios of 0.23, 3.2, and 6.8. At the lower threshold, sensitivity was 0.81, and specificity was 0.82., Conclusion: The model developed in this analysis integrates clinical data, serum biomarker levels, and bone mineral densities to predict 10-year risk of osteoporosis with good performance., (© 2023. International Osteoporosis Foundation and Bone Health and Osteoporosis Foundation.)

Due to its high prevalence, we aimed to create postmenopausal osteoporosis clinical practice guideline via GRADE-ADOLOPMENT for Pakistan. We recommend a higher dose (2000-4000 IU) of vitamin D for osteoporotic patients who are old, have malabsorption, or are obese. The guideline will help standardize care provision and improve health care outcomes for osteoporosis., Purpose: Postmenopausal osteoporosis affects one in every five postmenopausal women in Pakistan. An evidence-based clinical practice guideline (CPG) is needed to standardize care provision to optimize health outcomes. Hence, we aimed to develop CPG for the management of postmenopausal osteoporosis in Pakistan., Methods: The GRADE-ADOLOPMENT process was used to adopt (as is or with minor changes), exclude (omit), or adapt (modify based on local context) recommendations to the source guideline (SG)-clinical practice guidelines for the diagnosis and treatment of postmenopausal osteoporosis-2020 update from American Association of Clinical Endocrinology (AACE)., Results: The SG was "adoloped" to cater to the local context. The SG consisted of 51 recommendations. Forty-five recommendations were adopted as is. Due to unavailability of drugs, 4 recommendations were adopted with minor changes, and one was excluded, while one recommendation was adopted with the inclusion of use of a surrogate FRAX tool specific for Pakistan. One recommendation regarding vitamin D dosage was adapted to recommend a dose of 2000-4000 IU of vitamin D in patients with obesity, malabsorption, and old age., Conclusion: The developed Pakistani postmenopausal osteoporosis guideline consists of 50 recommendations. The guideline created recommends a higher dose (2000-4000 IU) of vitamin D for patients who are old, have malabsorption, or are obese, which is an adaptation from the SG by the AACE. This higher dose is justified as lower doses prove to be suboptimal in these groups and should be complemented with baseline vitamin D and calcium levels., (© 2023. International Osteoporosis Foundation and Bone Health and Osteoporosis Foundation.)

A population-level, cross-sectional model was developed to estimate the clinical and economic burden of osteoporosis among women (≥ 70 years) across eight European countries. Results demonstrated that interventions aimed at improving fracture risk assessment and adherence would save 15.2% of annual costs in 2040., Purpose: Osteoporosis is associated with significant clinical and economic burden, expected to further increase with an ageing population. This modelling analysis assessed clinical and economic outcomes under different hypothetical disease management interventions to reduce this burden., Methods: A population-level, cross-sectional cohort model was developed to estimate numbers of incident fractures and direct costs of care among women (≥ 70 years) in eight European countries under different hypothetical interventions: (1) an improvement in the risk assessment rate, (2) an improvement in the treatment adherence rate and (3) a combination of interventions 1 and 2. A 50% improvement from the status quo, based on existing disease management patterns, was evaluated in the main analysis; scenario analyses evaluated improvement of either 10 or 100%., Results: Based on existing disease management patterns, a 44% increase in the annual number of fractures and costs was predicted from 2020 to 2040: from 1.2 million fractures and €12.8 billion in 2020 to 1.8 million fractures and €18.4 billion in 2040. Intervention 3 provided the greatest fracture reduction and cost savings (a decrease of 17.9% and 15.2% in fractures and cost, respectively) in 2040 compared with intervention 1 (decreases of 8.7% and 7.0% in fractures and cost, respectively) and intervention 2 (10.0% and 8.8% reductions in fracture and cost, respectively). Scenario analyses showed similar patterns., Conclusion: These analyses suggest that interventions which improve fracture risk assessment and adherence to treatments would relieve the burden of osteoporosis, and that a combination strategy would achieve greatest benefits., (© 2023. The Author(s).)

Objective: This study investigated the association between CONUT score and postmenopausal osteoporosis., Methods: Postmenopausal women who were seen at an outpatient clinic in a tertiary hospital for routine gynecologic examination between January 2017 and June 2022 were included in the study. Based on their T-scores, a total of 423 women were divided into two groups. Group 1 included 216 women with osteoporosis (T-score < -2.5 SD), and group 2 included 207 women with normal bone mineral density (T-score > -1 SD). The formula for the CONUT score corresponds to collection of scores from albumin, total cholesterol, and total lymphocyte count. Higher scores indicate poorer nutritional control., Results: Mean age and mean age at menopause were similar in both groups. The duration of menopause, however, was higher in the women with osteoporosis (11.55 ± 6.82 vs 9.202 ± 6.14 y, P < 0.001). The 25-hydroxy vitamin D level was low in both groups. Body mass index of women with normal bone mineral density was higher than that of women with osteoporosis (31.54 ± 4.19 vs 28.52 ± 4.43 kg/m 2 , P < 0.001). The CONUT scores of the two groups were calculated and found to be higher in women with osteoporosis (3.180 ± 1.804 vs 0.391 ± 0.687, P < 0.001). According to the receiver operating characteristic curve analysis of the CONUT score for predicting osteoporosis, the area under the curve was calculated as 0.932, with a sensitivity of 86.6% and a specificity of 91.1% ( P < 0.001)., Conclusions: Diet plays an important role in the development of osteoporosis. In this study, it was shown that there is a relationship between CONUT score and osteoporosis., Competing Interests: Financial disclosure/conflicts of interest: None reported., (Copyright © 2023 by The North American Menopause Society.)

Background: Postmenopausal osteoporosis (PMOP) is a common bone disorder. Existing study has confirmed the role of exosome in regulating RNA N6-methyladenosine (m6A) methylation as therapies in osteoporosis. However, it still stays unclear on the roles of m6A modulators derived from serum exosome in PMOP. A comprehensive evaluation on the roles of m6A modulators in the diagnostic biomarkers and subtype identification of PMOP on the basis of GSE56815 and GSE2208 datasets was carried out to investigate the molecular mechanisms of m6A modulators in PMOP., Methods: We carried out a series of bioinformatics analyses including difference analysis to identify significant m6A modulators, m6A model construction of random forest, support vector machine and nomogram, m6A subtype consensus clustering, GO and KEGG enrichment analysis of differentially expressed genes (DEGs) between different m6A patterns, principal component analysis, and single sample gene set enrichment analysis (ssGSEA) for evaluation of immune cell infiltration, experimental validation of significant m6A modulators by real-time quantitative polymerase chain reaction (RT-qPCR), etc., Results: In the current study, we authenticated 7 significant m6A modulators via difference analysis between normal and PMOP patients from GSE56815 and GSE2208 datasets. In order to predict the risk of PMOP, we adopted random forest model to identify 7 diagnostic m6A modulators, including FTO, FMR1, YTHDC2, HNRNPC, RBM15, RBM15B and WTAP. Then we selected the 7 diagnostic m6A modulators to construct a nomogram model, which could provide benefit with patients according to our subsequent decision curve analysis. We classified PMOP patients into 2 m6A subtypes (clusterA and clusterB) on the basis of the significant m6A modulators via a consensus clustering approach. In addition, principal component analysis was utilized to evaluate the m6A score of each sample for quantification of the m6A subgroups. The m6A scores of patients in clusterB were higher than those of patients in clusterA. Moreover, we observed that the patients in clusterA had close correlation with immature B cell and gamma delta T cell immunity while clusterB was linked to monocyte, neutrophil, CD56dim natural killer cell, and regulatory T cell immunity, which has close connection with osteoclast differentiation. Notably, m6A modulators detected by RT-qPCR showed generally consistent expression levels with the bioinformatics results., Conclusion: In general, m6A modulators exert integral function in the pathological process of PMOP. Our study of m6A patterns may provide diagnostic biomarkers and immunotherapeutic strategies for future PMOP treatment., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Zhang, Chen, Xie, Zhao, Shang, He, Shen, Yu, Zhang, Zhu, Chen, Yu, Liang, Tang, Cui, Liu, Ren and Jiang.)

Background and Aims: Bone fragility is recognized as a complication of type 2 diabetes (T2D). However, the fracture risk in T2D is underestimated using the classical assessment tools. An expert panel suggested the diagnostic approaches for the detection of T2D patients worthy of bone-active treatment. The aim of the study was to apply these algorithms to a cohort of T2D women to validate them in clinical practice., Methods and Results: The presence of T2D-specific fracture risk factors (T2D ≥ 10 years, ≥1 T2D complications, insulin or thiazolidinedione use, poor glycaemic control) was assessed at baseline in 107 postmenopausal T2D women. In all patients at baseline and in 34 patients after a median follow-up of 60.2 months we retrospectively evaluated bone mineral density and clinical and morphometric vertebral fractures. No patient was treated with bone-active drug. Following the protocols, 34 (31.8%) and 73 (68.2%) patients would have been pharmacologically and conservatively treated, respectively. Among 49 patients without both clinical fractures and major T2D-related risk factors, who would have been, therefore, conservatively followed-up without vertebral fracture assessment, only one showed a prevalent vertebral fracture (sensitivity 90%, negative predictive value 98%). The two patients who experienced an incident fracture would have been pharmacologically treated at baseline., Conclusions: The clinical consensus recommendations showed a very good sensitivity in identifying T2D postmenopausal women at high fracture risk. Among those with treatment indication as many as 13% of patients experienced an incident fracture, and, conversely, among those without treatment indication no incident fractures were observed., Competing Interests: Declaration of competing interest The authors declare that there is no conflict of interest regarding the publication of this paper., (Copyright © 2022. Published by Elsevier B.V.)

Background: Chronic low-grade inflammation is involved in the pathogenesis of postmenopausal osteoporosis, but the cytokines implicated remain elusive., Objective: This study aimed to compare the difference in cytokine profile between postmenopausal women with and without osteoporosis in Klang Valley, Malaysia., Methods: Postmenopausal women with (n = 20) and without osteoporosis (n = 20) were recruited for this study. Their bone health status was determined using dual-energy X-ray absorptiometry. Their fasting blood was collected for proteomic analysis. A protein array was performed for four subjects randomly selected from each group to screen the potential cytokines. Three cytokines at least 20% different between groups and consistently expressed by each subject were selected for validation using enzyme-linked immunosorbent assays (ELISA)., Results: The protein array screening demonstrated that platelet-derived growth factor-BB, interleukin- 6 receptor (IL-6R), and tissue inhibitor of metallopeptidase-2 were higher in women with osteoporosis than women without osteoporosis (n = 4 per group), and consistently expressed by all women. Only body mass index (BMI)-adjusted logarithmically transformed IL-6R levels were lower among postmenopausal women with osteoporosis compared to women with normal bone health (p = 0.026) (n = 16 per group) in the ELISA test., Conclusion: IL-6R was lower among postmenopausal women with osteoporosis compared to women with normal bone health after adjusting for BMI. However, a large-scale epidemiological study with proteomic analysis needs to confirm the findings., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Early detection and treatment of osteoporosis can help to prevent debilitating fractures in the elderly. The osteoporosis self-assessment tool for Asians can be used as a screening tool to stratify patients for bone densitometry. It is most cost-effective for post-menopausal women aged 70 and males aged 75., Purpose: To determine the cost-effectiveness of selective bone densitometry (SBD) using the Osteoporosis Self-Assessment Tool for Asians (OSTA) as a risk-stratifying tool for the three predominant races (Chinese, Malay and Indian) in Singapore., Methods: Decision analytical models were developed using a Markov model. Three scenarios were compared: no bone densitometry, SBD using the OSTA as a pre-screening tool and universal bone densitometry. Those diagnosed with osteoporosis were treated with five years of alendronate therapy. Data sources were from Singapore epidemiological studies, healthcare cost figures and published literature. Measurements include life years, quality-adjusted life years (QALYs), costs and incremental cost-effectiveness ratios (ICER)., Results: Compared to no bone densitometry, SBD using the OSTA would cost between $40,679 and $73,909 per QALY gained for men aged 75-80 and $22,386 to $58,185 per QALY gained for post-menopausal women aged 70-80. Universal bone densitometry would cost $157,955 to $177,127 per QALY gained for men aged 75-80 and $40,179 to $66,112 per QALY gained for post-menopausal women aged 70 to 80 compared to SBD., Conclusion: In general, osteoporosis screening was the most cost-effective for Malays and the least cost-effective for Indians. However, a general guideline should still be applied to the Singaporean population, as further explained later. Overall, the most cost-effective strategy for males would be using OSTA as a risk-stratifying tool at age 75. For post-menopausal women, SBD should be used for women aged 70, while universal bone densitometry should be used for women aged 75-80., (© 2022. International Osteoporosis Foundation and Bone Health and Osteoporosis Foundation.)

Objectives: Postmenopausal osteoporosis is a progressive metabolic bone disease resulting from oestrogen deficiency. Due to the silent nature of the disease, there is an urgent need for a simple, early predictive marker. This study aimed to assess the potential of three factors-neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR) and platelet-to-lymphocyte ratio (PLR)-as inflammatory markers of bone mineral density (BMD) loss., Methods: A retrospective cross-sectional study was conducted among 450 postmenopausal Omani women undergoing dual-energy X-ray absorptiometry at the Sultan Qaboos University Hospital, Muscat, Oman, from January 2017 to December 2019. The participants were allocated to groups based on lumbar spine BMD t-score values. A receiver operating characteristic curve was used to determine the area under the curve (AUC). Multivariate logistic regression was performed to identify independent predictors of low BMD., Results: A total of 65 (14.4%), 164 (36.4%) and 221 (49.1%) women were allocated to the control, osteopenia and osteoporosis groups, respectively. No significant differences in PLR, MLR and NLR values were observed among the groups. BMD t-score values were reversely correlated with age ( P = 0.007) and PLR ( P = 0.004) and positively correlated with body mass index (BMI; P <0.001). The AUC was 0.59. The independent predictors of low BMD were age (>65 years) and BMI (<25 kg/m 2 )., Conclusion: None of the three inflammatory biomarkers studied were found to be useful prognostic indicators of bone loss. Further research is recommended to reject or support theories regarding the role of inflammatory status in the pathogenesis., Competing Interests: CONFLICT OF INTEREST The authors declare no conflict of interest., (© Copyright 2022, Sultan Qaboos University Medical Journal, All Rights Reserved.)

Introduction: Postmenopausal women with osteoporosis (PMOP) are prone to fragility fractures. Osteoporosis is associated with alterations in the levels of specific circulating metabolites., Objectives: To analyze the metabolic profile of individuals with PMOP and identify novel metabolites associated with bone mineral density (BMD)., Methods: We performed an unsupervised metabolomics analysis of plasma samples from participants with PMOP and of normal controls (NC) with normal bone mass. BMD values for the lumber spine and the proximal femur were determined using dual-energy X-ray absorptiometry. Principal component analysis (PCA) and supervised partial least squares discriminant analysis (PLS-DA) were performed for metabolomic profile analyses. Metabolites with P < 0.05 in the t-test, VIP > 1 in the PLS-DA model, and SNR > 0.3 between the PMOP and NC groups were defined as differential abundant metabolites (DAMs). The SHapley additive explanations (SHAP) method was utilized to determine the importance of permutation of each DAM in the predictive model between the two groups. ROC analysis and correlation analysis of metabolite relative abundance and BMD/T-scores were conducted. KEGG pathway analysis was used for functional annotation of the candidate metabolites., Results: Overall, 527 annotated molecular markers were extracted in the positive and negative total ion chromatogram (TIC) of each sample. The PMOP and NC groups could be differentiated using the PLS-DA model. Sixty-eight DAMs were identified, with most relative abundances decreasing in the PMOP samples. SHAP was used to identify 9 DAM metabolites as factors distinguishing PMOP from NC. The logistic regression model including Triethanolamine, Linoleic acid, and PC(18:1(9Z)/18:1(9Z)) metabolites demonstrated excellent discrimination performance (sensitivity = 97.0, specificity = 96.6, AUC = 0.993). The correlation analysis revealed that the abundances of Triethanolamine, PC(18:1(9Z)/18:1(9Z)), 16-Hydroxypalmitic acid, and Palmitic acid were significantly positively correlated with the BMD/T score (Pearson correlation coefficients > 0.5, P < 0.05). Most candidate metabolites were involved in lipid metabolism based on KEGG functional annotations., Conclusion: The plasma metabolomic signature of PMOP patients differed from that of healthy controls. Marker metabolites may help provide information for the diagnosis, therapy, and prevention of PMOP. We highlight the application of feature selection approaches in the analysis of high-dimensional biological data., (© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background: The risk of osteoporosis in patients with rheumatoid arthritis (RA) is frequently overlooked, and investigating a simple indicator in routine care may be beneficial to motivate osteoporosis examination. The aim of this retrospective, case-controlled study was to identify the correlation between serum albumin concentrations and the prevalence of osteoporosis in postmenopausal patients with RA., Methods: This study enrolled 197 patients who underwent dual-energy X-ray absorptiometry of lumbar spine (LS) and proximal femur without osteoporosis treatment [mean age, 67.5 years; disease duration, 12.8 years; Disease Activity Score assessing 28 joints with C-reactive protein, 2.0; prednisolone dose, 4.9 mg/day (usage, 42.6%); and LS T-score, -1.9]. Patients were classified into 2 groups: osteoporosis, defined as ≥ 1 part bone mineral density T-score ≤ -2.5 or history of fragility fracture of the vertebra or proximal femur (121 patients), and non-osteoporosis (76 patients). Groups were then matched by propensity score using clinical backgrounds affecting bone metabolism., Results: In non-matched model, serum albumin concentration was significantly associated with osteoporosis-related factors such as aging, inflammation, physical disability, and glucocorticoid dose. Multivariate logistic regression revealed that serum albumin concentration was independently and significantly associated with osteoporosis risk (odds ratio = 0.22, 95% confidence interval = 0.08, 0.61, p = 0.0033). After propensity score matching, 57 patients for each group showed that in addition to the LS and femoral neck T-scores (p < 0.001), serum albumin concentrations (p = 0.01) remained lower in the osteoporosis group compared to non-osteoporosis group. Receiver operating characteristic curve analysis in non-matched model revealed that when cut-off value of serum albumin concentration for indicating osteoporosis was set at 4.2 g/dl, the area under the curve was 0.69, sensitivity 0.74, and specificity 0.58., Conclusions: Low serum albumin concentration was significantly and independently associated with the prevalence of osteoporosis, which may be considered as one of the osteoporosis-related factors in postmenopausal patients with RA., Competing Interests: Declaration of competing interest KE is affiliated with, and KN supervise the Department of Musculoskeletal Regenerative Medicine, Osaka University, Graduate School of Medicine, which is supported by Taisho. KE has received payments for lectures from Amgen, Asahi-Kasei, Astellas, Chugai, Daiichi Sankyo, Eisai, Eli Lilly, Ono, and Pfizer, and received consultant fee from Asahi-Kasei. KE and MH have received research grants from Amgen, Asahi-Kasei, Astellas, Chugai, Daiichi Sankyo, Eisai, Eli Lilly, and Ono. YN has received payments for lectures from Asahi-Kasei, Astellas, Chugai, Daiichi Sankyo, Eisai, Eli Lilly, and Ono. HT has received payments for lectures from Asahi-Kasei, Astellas, Chugai, Eisai, Eli Lilly, and Pfizer, and has received a research grant from Chugai. JH have received payments for lectures from Chugai, and research grants from Astellas, Chugai, and Eisai. HY have received research grants from Astellas, Daiichi Sankyo, Eisai, and MSD. KN has received a research grant from Astellas. SO declare that he has no conflicts of interest., (Copyright © 2021 The Japanese Orthopaedic Association. Published by Elsevier B.V. All rights reserved.)

Background: Screening and linkage to care (SLTC) for osteoporosis is suboptimal in several settings. In Greece, it is estimated that only up to 8.6% of postmenopausal women are SLTC for osteoporosis, despite having suffered a previous fracture., Aims: This study aims to estimate the impact of comprehensive screening on future fracture burden amongst post-menopausal women aged 50-74, with one prior osteoporotic fracture, in Greece., Methods: We developed a cohort stochastic model, based on published epidemiological and clinical data, to assess impact of screening on future fracture burden in two scenarios: a current, assuming an 8.6% background SLTC, and a completely hypothetical, assuming 100% SLTC., Results: Amongst a cohort of 50,000 post-menopausal women aged 50-74, with one prior osteoporotic fracture, applying the hypothetical versus the current scenario would result in a reduction in deaths (-0.6%) and fractures (-4.3%) over 10 years. The hypothetical scenario leads to greater reductions in costs associated with vertebral (-8.1%) and hip (-5.5%) fractures, followed by other non-vertebral (-3.0%) and forearm (-2.5%) fractures. In the hypothetical scenario, treatment initiations and total screenings increased almost tenfold versus the current scenario, at an estimated direct incremental cost of 27.83€ per woman per year in the cohort., Discussion: Our study adds to the existing evidence on the impact of screening to prevent fractures amongst post-menopausal women. Despite being based on a stochastic model, our study confirms findings most recently published in the literature., Conclusions: Our study models the positive public health impact of increasing SLTC levels amongst post-menopausal women with a prior osteoporotic fracture., (© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Background: Long noncoding RNA metastasis-associated lung adenocarcinoma transcript 1 (LncRNA MALAT1) has been proven to promote osteogenesis in different health conditions. However, the role of plasma MALAT1 in postmenopausal osteoporosis (PMOP) has not been investigated., Objective: To investigate whether plasma MALAT1 expressions are associated with severity of PMOP., Methods: A total of 126 patients with PMOP and 126 healthy female control individuals were drafted into study participation. Plasma MALAT1 was detected using RT-PCR. Bone formation marker bone-specific alkaline phosphatase plasma concentration was determined using chemiluminescence immunoassay. Levels of bone absorption marker cross-linked N-telopeptidases of type I collagen were measured in duplicate using enzyme immunoassay. Bone mineral density (BMD) was examined in the total hips, femoral neck, and lumbar (L1-L4) spine using dual-energy x-ray absorptiometry. We used Genant semiquantitative (GSQ) criteria to assess the degree of vertebral deformity and fracture. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the potential diagnostic value of MALAT1 with regard to the GSQ grading. We used the Visual Analog Scale (VAS) and Oswestry Disability Index (ODI) to evaluate the symptomatic severity in and functional ability of the study participants., Results: Plasma MALAT1 expressions were significantly lower in patients with PMOP, compared with healthy controls. Plasma MALAT1 expressions in patients with PMOP were positively associated with total hip, femoral neck, and lumbar (L1-L4) spine BMD. In total, 95 patients experienced vertebral deformity or fracture (VF), and 31 had no fractures. Plasma MALAT1 expressions were markedly decreased in patients with VF, compared with patients without fractures. Plasma MALAT1 expressions were negatively related to GSQ grading in patients with VF. ROC curve analysis demonstrated that decreased plasma MALAT1 expression exhibits decent diagnostic value with regard to GSQ grading. Finally, we discovered that plasma MALAT1 expression was also negatively associated with VAS and ODI., Conclusion: Plasma MALAT1 expressions are negatively associated with severity of PMOP., (© The Author(s) 2022. Published by Oxford University Press on behalf of American Society for Clinical Pathology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Objective: Postmenopausal osteoporosis (PMOP) is one of the most commonly occurring conditions worldwide and is characterized by estrogen deficiency as well as persistent calcium loss with age. The aim of our study was to identify significant ferroptosis-associated biomarkers for PMOP., Methods and Materials: We obtained our training dataset from the Gene Expression Omnibus (GEO) database using GSE56815 expression profiling data. Meanwhile, we extracted ferroptosis-associated genes for further analysis. Differentially expressed ferroptosis-associated genes (DEFAGs) between OP patients and normal controls were selected using the "limma" package. We established a ferroptosis-associated gene signature using training models, specifically, random forest (RF) and support vector machine (SVM) models. It was further validated in another dataset (GSE56814) which also showed a high AUC: 0.98, indicating high diagnostic value. Using consensus clustering, the OP patient subtypes were identified. A ferroptosis associated gene (FAG)-Scoring scheme was developed by PCA. The important candidate genes associated with OP were also compared between different ferrclusters and geneclusters., Results: There were significant DEFAGs acquired, of which five (HMOX1, HAMP, LPIN1, MAP3K5, FLT3) were selected for establishing a ferroptosis-associated gene signature. Analyzed from the ROC curve, our established RF model had a higher AUC value than the SVM model (RF model AUC:1.00). Considering these results, the established RF model was chosen to be the most appropriate training model. Later, based on the expression levels of the five DEFAGs, a clinical application nomogram was established. The OP patients were divided into two subtypes (ferrcluster A, B and genecluster A, B, respectively) according to the consensus clustering method based on DEFAGs and differentially expressed genes (DEGs). Ferrcluster B and genecluster B had higher ferroptosis score than ferrcluster A and genecluster A, respectively. The expression of COL1A1 gene was significantly higher in ferrcluster B and gencluster B compared with ferrcluster A and gencluster A, respectively, while there is no statistical difference in term of VDR gene, COL1A2 genes, and PTH gene expressions between ferrcluster A and B, together with gencluster A and B., Conclusions: On the basis of five explanatory variables (HMOX1, HAMP, LPIN1, MAP3K5 and FLT3), we developed a diagnostic ferroptosis-associated gene signature and identified two differently categorized OP subtypes that may potentially be applied for the early diagnosis and individualized treatment of PMOP. The ER gene, VDR gene, IL-6 gene, COL1A1 and COL1A2 genes, and PTH gene are important candidate gene of OP, however, more studies are still anticipated to further elucidate the relationship between these genes and ferroptosis in OP., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Hu, Han, Ding, Liu and Wang.)

Osteoporotic fracture, a major complication which is known as the outcome postmenopausal osteoporosis, seriously threatens the health of postmenopausal women. At present, the traditional osteoporotic fracture prediction methods are characterized by inconvenient application and time-consuming statistical results, while predictive serum biomarkers can make up for this shortcoming. Accurate and advanced risk prediction of osteoporotic fracture is meaningful to early prevention and intervention, effectively avoiding the risk of this disease and the secondary fracture in the surgical treatment. In this study, based on the BEYOND cohort, a 2-year follow-up study was conducted after subjects participated to survey if OF occurred. Independent sample t- test and Mann-Whitney U -test were used to analyze the differences of bone metabolism biomarkers between the OF and non-OF group. Cox proportional hazard model was used to screen the potential biomarkers might be used to predict OF risk. ROC curves and AUCs were used to analyze the predictive accuracy, and the Delong's test was used to compare the differences between the AUCs. 15 postmenopausal women with low bone mass and OF were found, and other 60 subjects without OF were matched with 1 : 4, age, and BMI classification as control group. The serum IL-6 (OR = 1.139, 95%CI = 1.058 - 1.226) and leptin (OR = 0.921, 95%CI = 0.848 - 1.000) were found as OF risk predictive biomarkers for postmenopausal women with low bone mass with high accuracy (IL - 6 = 0.871) (leptin = 0.813) and accuracy enhanced when they were combined (AUC = 0.898). The results of Delong's test showed that the difference of AUC between leptin and IL-6&Leptin was meaningful ( P = 0.024) but meaningless between IL-6 and leptin ( P = 0.436), IL-6 and IL-6&Leptin ( P = 0.606). To sum up, IL-6 and leptin are the predictive biomarkers of OF for postmenopausal women with low bone mass. The IL-6 can improve the prediction accuracy of leptin ( P = 0.024), but not vice versa ( P = 0.606). Trial Information . Registered on the Chinese Clinical Trial Registry already. (Registration Number: ChiCTR-SOC-17013090)., Competing Interests: The authors declare that they have no conflicts of interest., (Copyright © 2022 Xu Wang et al.)

Objectives: Osteoporosis is a chronic disease and affects an increasing number of people in the ageing population. Due to its ‛quiet' progress, it gradually impacts on the patient's daily functioning, resulting in reduction, then abandoning of existing forms of life activities and deterioration of mental state. The aim of the study was to analyze the levels of disease acceptance and satisfaction with life in women with postmenopausal osteoporosis depending on their body mass index., Methods: The study included a group of 198 women, 72.3 ± 8.59 years old, diagnosed with postmenopausal osteoporosis treated in two Osteoporosis Treatment Centers in the city of Lodz. The study used the Acceptance of Illness Scale (AIS), the Satisfaction with Life Scale (SWLS), the Visual Analogue Scale (VAS), and a self-made survey., Results: The mean AIS score was 25.95 ± 10.20 points, which indicated a moderate level of acceptance and adjustment to the disease in the study group. The average level of satisfaction with life assessed on the SWLS was 19.37 ± 7.31 points and indicated moderate life satisfaction. The lowest acceptance of the disease (24.38 ± 11.3 points) was presented by underweight persons, while the lowest satisfaction with life (17.75 ± 7.50 points) was presented by overweight women. The subjects presented a mild level of pain according to the VAS scale (4.87 ± 2.39 points). The highest acceptance of the disease and satisfaction with life was presented by normal weight persons., Conclusions: The levels of disease acceptance and satisfaction with life in women with postmenopausal osteoporosis do not differ statistically significantly depending on body mass index. It was indicated that greater acceptance of the disease was accompanied by greater satisfaction with life in people with osteoporosis. Psychological aspects (AIS, SWLS) should be an important component of the assessment of therapy effectiveness in women undergoing a long-term treatment for postmenopausal osteoporosis.

Objectives: Assessment of the disease acceptance level in women with osteoporosis depending on selected sociodemographic factors., Material and Methods: The study included a group of 198 women, aged M±SD 72.3±8.59 years, diagnosed with postmenopausal osteoporosis and treated in 2 Osteoporosis Treatment Centres in Łódź. A questionnaire survey and A cceptance of Illness Scale (AIS) were applied in the study. Based on the questionnaire, the authors collected sociodemographic data (including age, marital status, place of residence, financial status) which the authors subsequently analyzed using a statistical program., Results: The respondents living in the countryside, with primary education and a very difficult financial situation manifested a low disease acceptance level. The authors have shown that postmenopausal osteoporosis acceptance level significantly depends on the age (p = 0.0024), place of residence (p = 0.0044), education (p < 0.001) and affluence (p = 0.0049), however, it is not related to duration of the disease., Conclusions: Postmenopausal osteoporosis acceptance level depended on age, place of residence, education and affluence level, however, it was not related to the disease duration. Psychological aspects, including assessment according to the disease acceptance scale, constitute a factor influencing mental health, therefore they should be included in evaluation of therapy effectiveness in patients chronically treated for osteoporosis. Int J Occup Med Environ Health. 2022;35(3):273-83., (This work is available in Open Access model and licensed under a CC BY-NC 3.0 PL license.)

Purpose: As an important public health problem, osteoporosis (OP) in China is also in an upward trend year by year. As a standard method for diagnosing OP, dual-energy X-ray absorptiometry (DXA) cannot analyze the pathological process but only see the results. It is difficult to evaluate the early diagnosis of OP. Our study was carried out through a serum metabolomic study of OP in Chinese postmenopausal women on untargeted gas chromatography (GC)/liquid chromatography (LC)-mass spectrometry (MS) to find possible diagnostic markers., Materials and Methods: 50 Chinese postmenopausal women with osteoporosis and 50 age-matched women were selected as normal controls. We first used untargeted GC/LC-MS to analyze the serum of these participants and then combined it with a large number of multivariate statistical analyses to analyze the data. Finally, based on a multidimensional analysis of the metabolites, the most critical metabolites were considered to be biomarkers of OP in postmenopausal women. Further, biomarkers identified relevant metabolic pathways, followed by a map of metabolic pathways found in the database., Results: We found that there may be metabolic pathway disorders like glucose metabolism, lipid metabolism, and amino acid metabolism in postmenopausal women with OP. 18 differential metabolites are considered to be potential biomarkers of OP in postmenopausal women which are a major factor in metabolism and bone physiological function., Conclusion: These findings can be applied to clinical work through further validation studies. It also shows that metabonomic analysis has great potential in the application of early diagnosis and recurrence monitoring in postmenopausal OP women., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Kou, He, Cui, Zhang, Wang, Tan, Liu, Zheng, Gu and Xia.)

Purpose: To provide updated evidence-based recommendations for the treatment of postmenopausal osteoporosis., Target Population: Postmenopausal patients with primary osteoporosis., Methods: This guideline was developed using an a priori protocol in conjunction with a writing team consisting of two specialists in obstetrics and gynecology appointed by the ACOG Committee on Clinical Practice Guidelines-Gynecology and one external subject matter expert. ACOG medical librarians completed a comprehensive literature search for primary literature within Cochrane Library, Cochrane Collaboration Registry of Controlled Trials, EMBASE, PubMed, and MEDLINE. Studies that moved forward to the full-text screening stage were assessed by two authors from the writing team based on standardized inclusion and exclusion criteria. Included studies underwent quality assessment, and a modified GRADE (Grading of Recommendations Assessment, Development, and Evaluation) evidence-to-decision framework was applied to interpret and translate the evidence into recommendation statements., Recommendations: This Clinical Practice Guideline includes updated recommendations on who should receive osteoporosis pharmacotherapy, the benefits and risks of available pharmacotherapy options, treatment monitoring and follow-up, and the role of calcium and vitamin D in the management of postmenopausal osteoporosis. Recommendations are classified by strength and evidence quality. Ungraded Good Practice Points are included to provide guidance when a formal recommendation could not be made because of inadequate or nonexistent evidence., (Copyright © 2022 by the American College of Obstetricians and Gynecologists. Published by Wolters Kluwer Health, Inc. All rights reserved.)

Postmenopausal osteoporosis (PMOP) is the most common skeletal disease in postmenopausal women and has become a global public health issue. Emerging evidence demonstrated the important relationship between microRNAs and PMOP. However, miRNAs have not yet been reported in PMOP. Hence, the present study aimed to investigate the differences in miRNA expression profiles in PMOP with fragility fractures to identify the key circulating miRNAs in serum exosomes and to validate these molecules as potential biomarkers. Postmenopausal women with osteoporotic fracture and normal bone mass were enrolled. Serum exosomes were isolated by traditional differential ultracentrifugation from participants. Isolated exosomes were identified by electron microscopy, western blotting and nanoparticle-tracking analysis and then examined for exosomal small RNA sequencing. The expression of miRNAs was compared by sRNA deep sequencing and bioinformatics analysis. Three miRNAs (mir-324-3p, mir-766-3p and mir-1247-5p) were found to be associated with BMD of L1-L4, FN (femur neck) and TH (total hip), while mir-330-5p and mir-3124-5p were associated with BMD of FN and TH. Furthermore, mir-330-5p was found to promote the ALP activity of hBMSCs, while mir-3124-5p showed the opposite result. The results showed that serum exosomal miRNAs were differentially expressed in postmenopausal osteoporosis patients with fragility fractures. Our study provides the first evidence that exosomal miRNA profiling revealed aberrant circulating miRNA in postmenopausal osteoporosis. Mir-324-3p, mir-766-3p, mir-1247-5p, mir-330-5p and mir-3124-5p, which were associated with bone mineral density (BMD), may serve as candidate diagnostic biomarkers as well as potentially contribute to pathophysiology of PMOP., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Shi, Jiang, Xu and Cheng.)

Osteoporosis and fragility fractures result in significant morbidity and mortality and contribute to substantial healthcare costs. Despite being a treatable disease, osteoporosis remains both underdiagnosed and undertreated in the US general population, with significant disparities in care between non-White and White women. These disparities are evident from screening to post-fracture treatment. Non-White women are less likely to be screened for osteoporosis, to be prescribed pharmacotherapy, or to receive treatment post-fracture; furthermore, the mortality rate after fracture is higher in non-White women. Given existing diagnostic and treatment disparities, additional studies and interventions are needed to optimize the bone health of Asian, Black, Hispanic, and Native American women, and to reduce morbidity and mortality from osteoporosis and fragility fractures., Competing Interests: The authors declare that they have no competing interests., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Background: The prevailing medical opinion is that medication is the primary (some might argue, only) effective intervention for osteoporosis. It is nevertheless recognized that osteoporosis medications are not universally effective, tolerated, or acceptable to patients. Mechanical loading, such as vibration and exercise, can also be osteogenic but the degree, relative efficacy, and combined effect is unknown. The purpose of the VIBMOR trial is to determine the efficacy of low-intensity whole-body vibration (LIV), bone-targeted, high-intensity resistance and impact training (HiRIT), or the combination of LIV and HiRIT on risk factors for hip fracture in postmenopausal women with osteopenia and osteoporosis., Methods: Postmenopausal women with low areal bone mineral density (aBMD) at the proximal femur and/or lumbar spine, with or without a history of fragility fracture, and either on or off osteoporosis medications will be recruited. Eligible participants will be randomly allocated to one of four trial arms for 9 months: LIV, HiRIT, LIV + HiRIT, or control (low-intensity, home-based exercise). Allocation will be block-randomized, stratified by use of osteoporosis medications. Testing will be performed at three time points: baseline (T0), post-intervention (T1; 9 months), and 1 year thereafter (T2; 21 months) to examine detraining effects. The primary outcome measure will be total hip aBMD determined by dual-energy X-ray absorptiometry (DXA). Secondary outcomes will include aBMD at other regions, anthropometrics, and other indices of bone strength, body composition, physical function, kyphosis, muscle strength and power, balance, falls, and intervention compliance. Exploratory outcomes include bone turnover markers, pelvic floor health, quality of life, physical activity enjoyment, adverse events, and fracture. An economic evaluation will also be conducted., Discussion: No previous studies have compared the effect of LIV alone or in combination with bone-targeted HiRIT (with or without osteoporosis medications) on risk factors for hip fracture in postmenopausal women with low bone mass. Should either, both, or combined mechanical interventions be safe and efficacious, alternative therapeutic avenues will be available to individuals at elevated risk of fragility fracture who are unresponsive to or unwilling or unable to take osteoporosis medications., Trial Registration: Australian New Zealand Clinical Trials Registry (www. anzctr.org.au ) (Trial number ANZCTR12615000848505, https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id = 368962 ); date of registration 14/08/2015 (prospectively registered). Universal Trial Number: U1111-1172-3652., (© 2022. The Author(s).)

Postmenopausal osteoporosis is a chronic progressive condition characterized by reduced bone mass and impaired bone quality, leading to an increased risk of fragility fractures. Osteoporotic fractures reduce quality of life and are associated with high morbidity, mortality and economic burden. Primary and secondary prevention interventions are always recommended starting from the premenopausal age, in women after menopause, however, it is essential to develop a long-term intervention strategy that allows to identify patients at high risk of fracture and the choice of therapy based on the estimated risk. This narrative review described the tools for layering the management approach in relation to low, high and very high fracture risk. Several medications are now available for the treatment of osteoporosis and the prevention of fractures; the knowledge of the efficacy, safety and additional benefits profile of the individual preparations allows an appropriate choice between the different drugs available and the possibility of adapting the prescription to the lifetime fracture risk spectrum. From the literature it emerges that menopausal hormone therapy (MHT), TSEC combination and SERMs can be drugs of choice to counteract postmenopausal bone loss in younger women or at low risk of fracture, while bisphosphonates and denosumab are appropriate for women with high risk or at an older age. Therapy with denosumab and anabolic agents such as teriparatide and romosozumab is particularly indicated for subjects with very high risk of fracture.

Patients with osteoporosis are asymptomatic and are at risk for fractures. Therefore, early detection and interventions are important. We found that a population with a low socioeconomic status living in rural areas was reported to have a high osteoporosis prevalence but a relatively low diagnosis rate. Research on the disparity of osteoporosis prevalence and treatment from the socioeconomic perspective was conducted. This study aimed to investigate the influence of residence area and basic livelihood conditions on osteoporosis prevalence and diagnosis in postmenopausal women aged over 50 years. The cross-sectional data of 1477 postmenopausal women aged over 50 years obtained from the Korea National Health and Nutrition Examination Survey V-2 were analyzed. Univariate analyses were performed to calculate the prevalence and diagnosis rate according to risk factor categories. A multivariate logistic regression analysis was performed to identify the influence of residence area and basic livelihood conditions after controlling for other factors. The osteoporosis prevalence in basic livelihood beneficiaries (53.7%) and rural area residents (41.9%) was higher than that in non-beneficiaries (33.1%) and urban area residents (31.8%). There was no significant difference in the diagnosis rates in relation to the basic livelihood conditions or residence areas. The adjusted odds ratio for the prevalence among the beneficiaries living in rural areas was 2.08 (95% confidence interval: 1.06-4.10). However, the odds ratio for diagnosis was not significantly different. Earlier screening examination policies for osteoporosis in postmenopausal women with a low socioeconomic status living in rural areas are needed.