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Tao R, Qiao MQ, Wang B, Fan JP, Gao F, Wang SJ, Guo SY, Xia SL. Laboratory-based Biomarkers for Risk Prediction, Auxiliary Diagnosis and Post-operative Follow-up of Osteoporotic Fractures. Curr Osteoporos Rep 2025; 23:19. [PMID: 40199776 PMCID: PMC11978538 DOI: 10.1007/s11914-025-00914-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/26/2025] [Indexed: 04/10/2025]
Abstract
PURPOSE OF REVIEW Osteoporosis (OP) is characterized by degraded bone microstructure, loss of bone mass and increased risk of fragility fractures. Currently, T-score determined by dual-energy X-ray absorptiometry (DEXA) measurements has been regarded as the gold standard for the diagnosis of osteoporosis. However, multiple factors have indicated that the T-score is insufficient to identify individuals with osteoporosis at a potentially high risk of fracture, or accurately detect those who require treatment, or continuously monitor the risk of re-fracture and clinical outcomes after treatment. This review covers publications in a range of ten years and comprehensively summarizes the studies in laboratory-based biomarkers for osteoporotic fractures (OF), aiming to provide physicians and surgeons with an update of clinical research in identification, verification and application of these tools, and to provide useful information for the design of future clinical studies. RECENT FINDINGS It was found that bone formation markers (such as PINP, BGP, ECM1 and SOST), bone resorption markers (such as β-CTX, TRAcP5b, osteocalcin, RANKL, RANKL/OPG ratio, and t-PINP/β-CTX), hormonal biomarkers (such as IGF- 1, PTH, leptin, adiponectin and AMH), indicators of inflammation and oxidative stress (SII, IL- 6, LTL, FlOP_360, FlOP_400, and GGT), microRNAs (such as miR- 21, miR- 320a- 3p, miR- 491 - 5p, miR- 485 - 3p, miR- 19b- 1- 5p, miR- 203a, miR- 31 - 5p, miR- 502 - 3p, miR- 4739, miR- 497, miR- 19b, and miR- 107), other biomarkers (SAF-AGEs and glycine), adipocytokines (irisin and Omentin- 1), senescence biomarkers (RDW), and lncRNAs (MIAT) may be useful biomarkers for clinical practice. Further validation of these biomarkers and a better understanding of the underlying molecular mechanisms may help in the development and application of these biomarkers for risk prediction of OF, differential diagnosis among OP, OF and healthy individuals, as well as post-operative monitoring of re-fracture risk and treatment outcomes.
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Affiliation(s)
- Rui Tao
- Department of Orthopedics, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, 1500 Zhoupu Zhouyuan Road, Pudong New Area, Shanghai, 201318, China
- Graduate School, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Pudong New Area, Shanghai, 201203, China
| | - Mei-Qi Qiao
- Department of Orthopedics, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, 1500 Zhoupu Zhouyuan Road, Pudong New Area, Shanghai, 201318, China
- Graduate School, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Pudong New Area, Shanghai, 201203, China
| | - Bin Wang
- Department of Orthopedics, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, 1500 Zhoupu Zhouyuan Road, Pudong New Area, Shanghai, 201318, China
| | - Jian-Pin Fan
- Department of Orthopedics, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, 1500 Zhoupu Zhouyuan Road, Pudong New Area, Shanghai, 201318, China
| | - Feng Gao
- Department of Orthopedics, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, 1500 Zhoupu Zhouyuan Road, Pudong New Area, Shanghai, 201318, China
| | - Shao-Jun Wang
- Department of Orthopedics, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, 1500 Zhoupu Zhouyuan Road, Pudong New Area, Shanghai, 201318, China
| | - Sheng-Yang Guo
- Department of Orthopedics, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, 1500 Zhoupu Zhouyuan Road, Pudong New Area, Shanghai, 201318, China
| | - Sheng-Li Xia
- Department of Orthopedics, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, 1500 Zhoupu Zhouyuan Road, Pudong New Area, Shanghai, 201318, China.
- Graduate School, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Pudong New Area, Shanghai, 201203, China.
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Bhattoa HP, Vasikaran S, Trifonidi I, Kapoula G, Lombardi G, Jørgensen NR, Pikner R, Miura M, Chapurlat R, Hiligsmann M, Haarhaus M, Evenepoel P, Jørgensen HS, Herrmann M, Kaufman JM, Clark P, Tuzun Ş, Al-Daghri N, Silverman S, Alokail MS, Ormarsdóttir S, Yerro MCP, Matijevic R, Laslop A, da Silva Rosa MMC, Zakraoui L, Burlet N, McCloskey E, Harvey NC, Radermecker RP, Fusaro M, Torre C, Kanis JA, Rizzoli R, Reginster JY, Makris K, Cavalier E. Update on the role of bone turnover markers in the diagnosis and management of osteoporosis: a consensus paper from The European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO), International Osteoporosis Foundation (IOF), and International Federation of Clinical Chemistry and Laboratory Medicine (IFCC). Osteoporos Int 2025; 36:579-608. [PMID: 40152990 PMCID: PMC12064614 DOI: 10.1007/s00198-025-07422-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2024] [Accepted: 02/03/2025] [Indexed: 03/30/2025]
Abstract
PURPOSE The International Osteoporosis Foundation (IOF) and the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) have proposed procollagen type I N propeptide (PINP) and β isomerized C-terminal telopeptide of type I collagen (β-CTX-I) as reference bone turnover markers (BTMs) for osteoporosis. This report examines the published literature since the 2011 IOF-IFCC position paper in order to determine the clinical potential of the reference BTMs and newer markers for the prediction of fracture risk and monitoring the treatment of osteoporosis. METHODS Evidence for the relationship between BTMs and subsequent fractures was gathered from prospective studies through literature review of the Medline database from years 2011 to May 2024. The impact of treatment on BTMs was also studied by examining publications in that period. Studies of the accuracy of BTMs in the assessment of bone turnover in the setting of advanced chronic kidney disease were also examined. RESULTS Increased BTM concentrations are associated with higher fracture risk in postmenopausal women. PINP and β-CTX-I measured in blood are associated with fracture risk but their interaction with other risk factors has not been sufficiently studied limiting their incorporation into fracture risk algorithms. Treatment-induced changes in PINP and β-CTX-I account for a substantial proportion of fracture risk reduction and are useful for improving adherence; they are recommended for inclusion in studies to examine adherence in individual patients. However, total PINP (tPINP) and β-CTX-I may be elevated in CKD due to renal retention. Bone alkaline phosphatase (BALP), intact PINP (iPINP), and tartrate resistant acid phosphatase 5b (TRACP5b) show the most promise in discriminating high and low turnover bone diseases in patients with advanced CKD and for predicting fracture risk, monitoring treatment response, and assessing the risk of treatment-related complications. CONCLUSION We re-affirm the use of serum/plasma tPINP and plasma β-CTX-I as reference BTMs with appropriate patient preparation and sample handling and measurement by standardized/harmonized assays in clinical studies to accumulate further data, and for monitoring treatment of osteoporosis in the setting of normal renal function in clinical practice. BALP and TRACP5b, measured by standardized assays, are recommended as reference BTMs for CKD-associated osteoporosis and should be included in observational and intervention studies to ascertain their utility for risk-evaluation, treatment initiation, and assessment of treatment response in CKD-associated osteoporosis.
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Affiliation(s)
- Harjit Pal Bhattoa
- Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Nagyerdei Blvd. 98, 4032, Debrecen, Hungary.
| | | | - Ioulia Trifonidi
- Clinical Biochemistry Department-KAT General Hospital, Kifissia, Athens, Greece
- Laboratory for Research of the Musculoskeletal System "Th. Garofalidis", Medical School, University of Athens, Athens, Greece
| | - Georgia Kapoula
- Clinical Biochemistry Department, General Hospital of Lamia, 35100, Lamia, Greece
| | - Giovanni Lombardi
- Laboratory of Experimental Biochemistry, IRCCS Ospedale Galeazzi-Sant'Ambrogio, Milan, Italy
- Department of Athletics, Strength and Conditioning, Poznań University of Physical Education, Poznań, Poland
| | - Niklas Rye Jørgensen
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Translational Research Centre, Rigshospitalet, Copenhagen, Denmark
| | - Richard Pikner
- Department of Clinical Biochemistry and Bone Metabolism, Klatovska Hospital, Klatovy, Czech Republic
- Department of Clinical Biochemistry and Haematology, Faculty of Medicine Pilsen, Charles University Prague, Pilsen, Czech Republic
- Faculty of Health Care Studies, University of West Bohemia, Pilsen, Czech Republic
| | - Masakazu Miura
- Faculty of Pharmaceutical Sciences, Hokuriku University, Kanazawa, Japan
| | - Roland Chapurlat
- INSERM UMR 1033, Université Claude Bernard-Lyon1, Hôpital E Herriot, 69437, Lyon, France
| | - Mickael Hiligsmann
- Department of Health Services Research, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, Netherlands
| | - Mathias Haarhaus
- Division of Renal Medicine, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Karolinska University Hospital, 141 86, Stockholm, Sweden
- Diaverum AB, Hyllie Boulevard 53, 215 37, Malmö, Sweden
| | - Pieter Evenepoel
- University Hospitals Leuven and Laboratory of Nephrology, Department of Microbiology, Immunology, and Transplantation, KU Leuven, Louvain, Belgium
| | - Hanne Skou Jørgensen
- Department of Clinical Medicine - Department of Medicine and Nephrology, Aarhus University, Aarhus, Denmark
- Department of Clinical Medicine and Department of Nephrology, Aalborg University Hospital, Aalborg, Denmark
- Department of Immunology and Transplantation, Nephrology and Renal Transplantation Research Group, KatholiekeUniversitet Leuven (KU Leuven), Louvain, Belgium
| | - Markus Herrmann
- Clinical Institute of Medical and Chemical Diagnostics, Medical University of Graz, Auenbruggerplatz 15 /1, 8036, Graz, Austria
| | - Jean-Marc Kaufman
- Department of Endocrinology, Ghent University Hospital, Ghent, Belgium
| | - Patricia Clark
- Clinical Epidemiology Unit, Faculty of Medicina UNAM, Hospital Infantil Federico Gómez, Mexico City, Mexico
| | - Şansın Tuzun
- Department of Physical Medicine and Rehabilitation, Cerrahpaşa School of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Turkey
| | - Nasser Al-Daghri
- Biochemistry Department, College of Science, King Saud University, Riyadh, 11451, Kingdom of Saudi Arabia
| | - Stuart Silverman
- Cedars-Sinai Medical Center, OMC Clinical Research Center, Beverly Hills, CA, 90211, USA
| | - Majed S Alokail
- Biochemistry Department, College of Science, King Saud University, Riyadh, 11451, Kingdom of Saudi Arabia
| | - Sif Ormarsdóttir
- Icelandic Medicines Agency, Vínlandsleið 14, 113, Reykjavík, Iceland
| | | | | | - Andrea Laslop
- Scientific Office, Austrian Medicines and Medical Devices Agency, Vienna, Austria
| | | | | | - Nansa Burlet
- Division d'Epidémiologie, Santé Publique Et Economie de La Santé, Université de Liège, Liège, Belgium
| | - Eugene McCloskey
- Division of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Régis P Radermecker
- CHU de Liège and Centre de Recherche Intégré Sur Les Médicaments (CIRM), Department of Clinical Pharmacology, University of Liège, Domaine du Sart-Tilman, B-4000, Liège, Belgium
| | - Maria Fusaro
- Institute of Clinical Physiology, 56124, Pisa and Department of Medicine, National Research Council, University of Padova, Padua, Italy
| | - Carla Torre
- Faculdade de Farmácia, Universidade de Lisboa, Avenida Professor Gama Pinto, 1649-003, Lisbon, Portugal
- Laboratory of Systems Integration Pharmacology, Clinical and Regulatory Science, Research Institute for Medicines of the University of Lisbon (iMed.ULisboa), Lisbon, Portugal
| | - John A Kanis
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
| | - René Rizzoli
- Geneva University Hospitals, Faculty of Medicine, Geneva, Switzerland
| | - Jean-Yves Reginster
- Biochemistry Department, College of Science, King Saud University, Riyadh, 11451, Kingdom of Saudi Arabia
| | - Konstantinos Makris
- Clinical Biochemistry Department-KAT General Hospital, Kifissia, Athens, Greece
- Laboratory for Research of the Musculoskeletal System "Th. Garofalidis", Medical School, University of Athens, Athens, Greece
| | - Etienne Cavalier
- CHU de Liège and Centre de Recherche Intégré Sur Les Médicaments (CIRM), Department of Clinical Chemistry, University of Liège, Domaine du Sart-Tilman, B-4000, Liège, Belgium
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Mu X, Zhang H, Zhang J. How Accurately Does Bone Mineral Density Predict Bone Strength? A Clinical Observational Study of Osteoporosis Vertebral Compression Fractures in Postmenopausal Women. Orthop Surg 2025; 17:1067-1074. [PMID: 39780751 PMCID: PMC11962276 DOI: 10.1111/os.14354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2024] [Revised: 12/25/2024] [Accepted: 12/25/2024] [Indexed: 01/11/2025] Open
Abstract
OBJECTIVES Dual energy x-ray absorptiometry (DXA) provides incomplete information about bone strength. There are few data on the relationship between osteoporosis-related examinations and bone strength. The objective of the present study was to determine which osteoporosis-related examinations best predicted trabecular bone strength, and to enhance a formula for predicting bone strength on the basis of bone density examination. METHODS This observational study included postmenopausal women (aged over 50 years) who underwent unilateral percutaneous kyphoplasty (PKP) surgery in the lumbar spine between September 2021 and June 2023. The pressure within each balloon expansion circle was extracted to reflect the true bone strength. The NHANES 2013-2014 data were used to assess the performance of the formula. The performance of the formula was compared with that of the observed actual fractures. Bland-Altman analysis was used to compare the agreement between the formula and the fracture risk assessment tool (FRAX) score. RESULTS A total of 40 postmenopausal women (mean age ± standard deviation, 70.90 years ± 10.30) were enrolled. The average balloon pressure was 59.23 psi (± 12.40, means ± SDs). The mean BMD of total lumbar spine (average of L1-L4) was 0.89 g/cm2 ± 0.20 (mean ± standard), and the Pearson correlation coefficient between lumbar BMD and bone strength was 0.516. After adjusting for age and BMI, the DXA response rate to bone strength reached 72%. Calibration plots of the observed actual fractures versus those estimated via the bone strength formula were considered good fits. The Bland-Altman analysis revealed a nonsignificant difference between the formula and the FRAX score in predicting fracture risk. CONCLUSIONS After adjustment, the DXA response rate to bone strength reached 72%, indicating a strong correlation. In addition, Bone Strength = DXA × 27 - Age × 0.585-BMI × 0.887 + 98.
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Affiliation(s)
- Xuemeng Mu
- Department of Orthopedic SurgeryPeking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical SciencesBeijingChina
| | - Hengyan Zhang
- Department of Orthopedic SurgeryPeking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical SciencesBeijingChina
| | - Jia Zhang
- Department of Orthopedic SurgeryPeking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical SciencesBeijingChina
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Fan M, Lu R, Wu J, Huang J, Fang Y. Osteoporotic vertebral fractures and subsequent fractures: risk factors from a retrospective observational study of patients with osteoporosis. Front Mol Biosci 2025; 12:1558052. [PMID: 40177521 PMCID: PMC11961946 DOI: 10.3389/fmolb.2025.1558052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2025] [Accepted: 03/05/2025] [Indexed: 04/05/2025] Open
Abstract
Purpose Osteoporosis is a progressive, systemic, skeletal disorder characterized by increased bone fragility and susceptibility to fracture. Prior fractures are a strong predictor of subsequent fractures, but it is essential to identify further clinical and demographic characteristics of patients with osteoporosis that are associated with subsequent fracture risk. Methods In this retrospective observational cohort study, male and female patients over the age of 55 years with osteoporosis who experienced vertebral fractures between 2019 and 2021 were included. All patients' basic clinical data, serum biochemical and bone turnover markers, bone mineral density, and other indicators were recorded uniformly. The incidence of subsequent fractures during the two-year follow-up period was analyzed. Independent risk factors for subsequent fractures were identified by binary logistic regression analysis. Results A total of 1,096 patients were included. Of these, 311 (28.4%) patients suffered a subsequent fracture during the two-year follow-up period. The incidences of subsequent fracture sites were 18.4% vertebral, 14.2% forearm/wrist/hand, and 9.9% hip/femur. Compared with the non-subsequent fracture group (non-SFG), binary logistic regression analysis showed that body mass index (BMI) (OR [95% CI] 0.825 [0.720-0.945]; P = 0.006), femoral neck bone mineral density (BMD) T-score (OR [95% CI] 0.067 [0.012-0.385]; P = 0.002), and C-terminal telopeptide of type 1 collagen (CTX) levels (OR [95% CI] 6.089 [1.735-21.375]; P = 0.005) were independent risk factors associated with subsequent fractures. Conclusion Patients with osteoporosis and previous vertebral fractures are at a higher risk of further fractures at a two-year follow-up period. BMI, femoral neck BMD T-score, and CTX levels were independent risk factors for refracture. Integrating BMI, femoral neck BMD, and CTX levels into an individualized care plan for patients with osteoporotic vertebral fractures may help prevent subsequent fractures in high-risk populations.
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Affiliation(s)
- Mingxing Fan
- Department of Spine Surgery, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China
| | - Ran Lu
- Department of Endocrinology and Metabolism, Peking University Third Hospital, Beijing, China
| | - Jiayuan Wu
- Department of Spine Surgery, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China
| | - Jie Huang
- Department of Spine Surgery, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China
| | - Yanming Fang
- Department of Spine Surgery, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China
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Jain S, Vohora D. Primary components of MCT ketogenic diet are detrimental to bone loss associated with accelerated aging and age-related neurotoxicity in mice. Bone 2025; 192:117383. [PMID: 39732448 DOI: 10.1016/j.bone.2024.117383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2024] [Revised: 12/11/2024] [Accepted: 12/23/2024] [Indexed: 12/30/2024]
Abstract
Medium chained triglycerides (MCT) ketogenic diet is being extensively investigated for its neuroprotective effects against adverse effects associated with aging and neurodegenerative disorders. Aging is a common risk factor for the development of both osteoporosis and neurological disorders. Hence, suppression of aging and age-related neurodegeneration might contribute to delaying skeletal aging. The present study was designed to investigate the effects of the primary components of the MCT diet, against bone resorption associated with D-gal-induced accelerated aging and D-gal /AlCl3-induced age-related toxicity. We report bone loss in accelerated aged mice and age-related neurotoxic mice through declined Sirtuin1 (SIRT1) expression, depleted bone turnover markers, (P1NP and β-CTX-1), low bone mineral density (BMD), and deterioration of trabecular bone microarchitecture in both the distal femur and proximal tibia bones. Administration of MCT dietary components decanoic acid and octanoic acid, led to a decrease in body weight and only octanoic acid increased serum levels of ketone body, β-hydroxybutyrate (β-HB), but both of them failed to reverse the diminishing effects on bone health associated with aging and age-related neurotoxicity. Surprisingly, decanoic acid, octanoic acid, and their combination also exhibited negative effects on trabecular bone microarchitecture and BMD in the distal femur and proximal tibia bones of healthy mice. The findings from this study provide supporting evidence on the deterioration of bone health associated with aging and age-related neurotoxicity, and the bone resorption potential of MCT dietary supplements that are being prescribed in healthy older populations and elderly persons diagnosed with neurological disorders.
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Affiliation(s)
- Shreshta Jain
- Neurobehavioral Pharmacology Laboratory, Department of Pharmacology, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi 110062, India
| | - Divya Vohora
- Neurobehavioral Pharmacology Laboratory, Department of Pharmacology, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi 110062, India.
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Brouwers P, Bouquegneau A, Cavalier E. Insight into the potential of bone turnover biomarkers: integration in the management of osteoporosis and chronic kidney disease-associated osteoporosis. Curr Opin Endocrinol Diabetes Obes 2024; 31:149-156. [PMID: 38804196 DOI: 10.1097/med.0000000000000869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
PURPOSE OF REVIEW Disturbances in mineral and bone metabolism occurring in osteoporosis and chronic kidney disease-associated osteoporosis place patients at high risk of fracture making these conditions a major public health concern. Due to the limited use of bone histomorphometry in clinical practice, the gold standard for assessing bone turnover, extensive efforts have been made to identify bone turnover markers (BTMs) as noninvasive surrogates. Since the identification of certain commonly used markers several decades ago, considerable experience has been acquired regarding their clinical utility in such bone disorders. RECENT FINDINGS Mounting evidence suggested that BTMs represent a simple, low-risk, rapid and convenient way to obtain data on the skeletal health and that they may be useful in guiding therapeutic choices and monitoring the response to treatment. SUMMARY BTMs could provide clinicians with useful information, independent from, and often complementary to bone mineral density (BMD) measurements. They have proven valuable for monitoring the effectiveness of osteoporosis therapy, as well as promising for discriminating low and high turnover states. Improved performance is observed when BTMs are combined, which may be useful for selecting treatments for chronic kidney disease-bone mineral disorders (CKD-MBD).
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Affiliation(s)
| | - Antoine Bouquegneau
- Department of Nephrology, Dialysis and Transplantation, CHU de Liege, Liege, Belgium
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Liu T, Wang Y, Qian B, Li P. Potential Metabolic Pathways Involved in Osteoporosis and Evaluation of Fracture Risk in Individuals with Diabetes. BIOMED RESEARCH INTERNATIONAL 2024; 2024:6640796. [PMID: 38884020 PMCID: PMC11178402 DOI: 10.1155/2024/6640796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 03/28/2024] [Accepted: 05/06/2024] [Indexed: 06/18/2024]
Abstract
Diabetes has a significant global prevalence. Chronic hyperglycemia affects multiple organs and tissues, including bones. A large number of diabetic patients develop osteoporosis; however, the precise relationship between diabetes and osteoporosis remains incompletely elucidated. The activation of the AGE-RAGE signaling pathway hinders the differentiation of osteoblasts and weakens the process of bone formation due to the presence of advanced glycation end products. High glucose environment can induce ferroptosis of osteoblasts and then develop osteoporosis. Hyperglycemia also suppresses the secretion of sex hormones, and the reduction of testosterone is difficult to effectively maintain bone mineral density. As diabetes therapy, thiazolidinediones control blood glucose by activating PPAR-γ. Activated PPAR-γ can promote osteoclast differentiation and regulate osteoblast function, triggering osteoporosis. The effects of metformin and insulin on bone are currently controversial. Currently, there are no appropriate tools available for assessing the risk of fractures in diabetic patients, despite the fact that the occurrence of osteoporotic fractures is considerably greater in diabetic individuals compared to those without diabetes. Further improving the inclusion criteria of FRAX risk factors and clarifying the early occurrence of osteoporosis sites unique to diabetic patients may be an effective way to diagnose and treat diabetic osteoporosis and reduce the risk of fracture occurrence.
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Affiliation(s)
- Tong Liu
- Emergency DepartmentHonghui HospitalXi'an Jiaotong UniversitySchool of Medicine, Xi'an, China
| | - Yanjun Wang
- Emergency DepartmentHonghui HospitalXi'an Jiaotong UniversitySchool of Medicine, Xi'an, China
| | - Bing Qian
- Emergency DepartmentHonghui HospitalXi'an Jiaotong UniversitySchool of Medicine, Xi'an, China
| | - Pan Li
- Emergency DepartmentHonghui HospitalXi'an Jiaotong UniversitySchool of Medicine, Xi'an, China
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Wang J, Xue M, Hu Y, Li J, Li Z, Wang Y. Proteomic Insights into Osteoporosis: Unraveling Diagnostic Markers of and Therapeutic Targets for the Metabolic Bone Disease. Biomolecules 2024; 14:554. [PMID: 38785961 PMCID: PMC11118602 DOI: 10.3390/biom14050554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 04/25/2024] [Accepted: 05/01/2024] [Indexed: 05/25/2024] Open
Abstract
Osteoporosis (OP), a prevalent skeletal disorder characterized by compromised bone strength and increased susceptibility to fractures, poses a significant public health concern. This review aims to provide a comprehensive analysis of the current state of research in the field, focusing on the application of proteomic techniques to elucidate diagnostic markers and therapeutic targets for OP. The integration of cutting-edge proteomic technologies has enabled the identification and quantification of proteins associated with bone metabolism, leading to a deeper understanding of the molecular mechanisms underlying OP. In this review, we systematically examine recent advancements in proteomic studies related to OP, emphasizing the identification of potential biomarkers for OP diagnosis and the discovery of novel therapeutic targets. Additionally, we discuss the challenges and future directions in the field, highlighting the potential impact of proteomic research in transforming the landscape of OP diagnosis and treatment.
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Affiliation(s)
- Jihan Wang
- Xi’an Key Laboratory of Stem Cell and Regenerative Medicine, Institute of Medical Research, Northwestern Polytechnical University, Xi’an 710072, China; (J.W.)
| | - Mengju Xue
- School of Medicine, Xi’an International University, Xi’an 710077, China
| | - Ya Hu
- Department of Medical College, Hunan Polytechnic of Environment and Biology, Hengyang 421000, China
| | - Jingwen Li
- Xi’an Key Laboratory of Stem Cell and Regenerative Medicine, Institute of Medical Research, Northwestern Polytechnical University, Xi’an 710072, China; (J.W.)
- Research and Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen 518057, China
| | - Zhenzhen Li
- Xi’an Key Laboratory of Stem Cell and Regenerative Medicine, Institute of Medical Research, Northwestern Polytechnical University, Xi’an 710072, China; (J.W.)
- Research and Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen 518057, China
| | - Yangyang Wang
- School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710129, China
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Vasileva R, Chaprazov T, Milanova A. Effects of Erythropoietin-Promoted Fracture Healing on Bone Turnover Markers in Cats. J Funct Biomater 2024; 15:106. [PMID: 38667563 PMCID: PMC11051391 DOI: 10.3390/jfb15040106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 04/12/2024] [Accepted: 04/15/2024] [Indexed: 04/28/2024] Open
Abstract
In orthopaedics, erythropoietin (EPO) is applied in the preoperative management of anaemic patients, but also as a stimulating factor to assist bone regeneration due to its angiogenic and osteoinductive potential. Since orthopaedists mainly rely on their clinical experience to assess bone healing, additional and more objective methods such as studying the dynamics of bone markers are needed. Therefore, the aim of this study was to investigate the plasma activity of bone-specific alkaline phosphatase (BALP), the N-terminal propeptide of type I collagen (PINP), the C-terminal telopeptide of type I collagen (CTX), and deoxypyridinoline (DPD) during the first 2 months of healing of comminuted fractures in cats, either non-stimulated or locally stimulated with recombinant human erythropoietin (rhEPO). The study included twelve cats of mixed breeds, aged 7.2 ± 4 months, weighing 2.11 ± 1.1 kg, with comminuted diaphyseal fractures of the femur. Surgical treatment with plate osteosynthesis was performed in all animals. The cats were randomly divided into two groups-a control (n = 6) and an EPO group (n = 6). The locally applied EPO leads to the increased activity of bone formation markers (BALP and PINP) during the second week after the osteosynthesis, preceding the peaks in the control group by two weeks. The studied bone resorption markers (DPD, CTX) varied insignificantly during the studied period. In conclusion, erythropoietin could serve as a promoter of bone healing in comminuted fractures in cats.
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Affiliation(s)
- Radina Vasileva
- Department of Veterinary Surgery, Faculty of Veterinary Medicine, Trakia University, 6000 Stara Zagora, Bulgaria;
| | - Tsvetan Chaprazov
- Department of Veterinary Surgery, Faculty of Veterinary Medicine, Trakia University, 6000 Stara Zagora, Bulgaria;
| | - Aneliya Milanova
- Department of Pharmacology, Animal Physiology, Biochemistry and Chemistry, Faculty of Veterinary Medicine, Trakia University, 6000 Stara Zagora, Bulgaria;
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10
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Suo J, Gan Y, Xie Y, Xu S, Wang J, Chen D, Chen L, Deng L, Feng S, Han JJ, Jiang Q, Lei G, Liu P, Luo X, Ma X, Qu J, Song C, Tang P, Tang T, Wang S, Wei X, Wu C, Xiao G, Yang L, Zhang L, Zhang W, Zhang Z, Liu GH, Zhang C, Pei G, Luo J, Yue R, Zou W. A framework of biomarkers for skeletal aging: a consensus statement by the Aging Biomarker Consortium. LIFE MEDICINE 2023; 2:lnad045. [PMID: 39872060 PMCID: PMC11748998 DOI: 10.1093/lifemedi/lnad045] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 12/01/2023] [Indexed: 01/29/2025]
Abstract
The skeleton is an important structural and metabolic organ in human body, while aging is the physiological basis for degenerative skeletal diseases. China has the largest aging population in the world and faces great challenges in preventing and managing diseases related to skeletal aging. To address these challenges, the Aging China Biomarkers Consortium (ABC) has reached an expert consensus on biomarkers of skeletal aging by synthesizing the literature and insights from scientists and clinicians. The consensus provides a comprehensive assessment of biomarkers associated with skeletal aging and proposes a systematic framework that categorizes biomarkers into three dimensions, namely, functional, structural, and humoral dimensions. Within each dimension, the ABC recommended clinical and evidential research-based biomarkers for physiological aging and degenerative pathologies of the skeleton. This expert consensus aims to lay the foundation for future studies to assess the prediction, diagnosis, early warning, and treatment of diseases associated with skeletal aging, with the ultimate goal of improving the skeletal health of elderly populations in China and around the world.
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Affiliation(s)
- Aging Biomarker Consortium
- Department of Orthopedic Surgery, Institute of Microsurgery on Extremities, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jinlong Suo
- Department of Orthopedic Surgery, Institute of Microsurgery on Extremities, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yibo Gan
- State Key Laboratory of Trauma and Chemical Poisoning, Department of Spine Surgery, Center of Orthopedics, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Yangli Xie
- State Key Laboratory of Trauma and Chemical Poisoning, Department of Wound Repair and Rehabilitation Medicine, Center of Bone Metabolism and Repair (CBMR), Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Shuqin Xu
- Department of Osteoporosis and Bone Diseases, Shanghai Clinical Research Center of Bone Disease, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jianfang Wang
- Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Institute for Regenerative Medicine, Shanghai East Hospital, Tongji University, Shanghai, China
| | - Di Chen
- Research Center for Computer-Aided Drug Discovery, Faculty of Pharmaceutical Sciences, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Lin Chen
- State Key Laboratory of Trauma and Chemical Poisoning, Department of Wound Repair and Rehabilitation Medicine, Center of Bone Metabolism and Repair (CBMR), Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Lianfu Deng
- Shanghai Key Laboratory for Prevention and Treatment of Bone and Joint Diseases, Department of Orthopaedics, Shanghai Institute of Traumatology and Orthopaedics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shiqing Feng
- Department of Orthopaedics, Qilu Hospital of Shandong University, Shandong University Centre for Orthopaedics, Advanced Medical Research Institute, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Jingdong Jackie Han
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, China
| | - Qing Jiang
- State Key Laboratory of Pharmaceutical Biotechnology, Division of Sports Medicine and Adult Reconstructive Surgery, Department of Orthopedic Surgery, Drum Tower Hospital affiliated to Medical School of Nanjing University, Nanjing, China
| | - Guanghua Lei
- Key Laboratory of Aging-related Bone and Joint Diseases Prevention and Treatment, Ministry of Education, Hunan Key Laboratory of Joint Degeneration and Injury, Department of Orthopaedics, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Peng Liu
- State Key Laboratory of Trauma and Chemical Poisoning, Department of Spine Surgery, Center of Orthopedics, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Xianghang Luo
- Key Laboratory of Aging-related Bone and Joint Diseases Prevention and Treatment, Ministry of Education, Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan Province, Department of Endocrinology, Endocrinology Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Xin Ma
- Department of Orthopaedic Surgery, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jing Qu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Institute for Stem Cell and Regeneration, Institute for Stem Cell and Regenerative Medicine, University of Chinese Academy of Sciences, Beijing, China
| | - Chunli Song
- Beijing Key Laboratory of Spinal Disease, Department of Orthopedics, Engineering Research Center of Bone and Joint Precision Medicine, Peking University Third Hospital, Beijing, China
| | - Peifu Tang
- Department of Orthopaedic Trauma, the Fourth Medical Center, National Clinical Research Center for Orthopaedics & Sports Rehabilitation in China, Chinese PLA General Hospital, Beijing, China
| | - Tingting Tang
- Shanghai Key Laboratory of Orthopaedic Implants, Department of Orthopaedic Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Sijia Wang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Xiaochun Wei
- Shanxi Key Laboratory of Bone and Soft Tissue Injury Repair, Department of Orthopedics, the Second Hospital of Shanxi Medical University, Taiyuan, China
| | - Chengtie Wu
- State Key Laboratory of High Performance Ceramics and Superfine Microstructure, Shanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai, China
| | - Guozhi Xiao
- Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Shenzhen Key Laboratory of Cell Microenvironment, Department of Biochemistry, School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Liu Yang
- Institute of Orthopedic Surgery, Xijing Hospital, The Fourth Military Medical University, Xi’an, Shaanxi, China
- Medical Research Institute, Northwestern Polytechnical University, Xi’an, China
| | - Licheng Zhang
- Department of Orthopaedic Trauma, the Fourth Medical Center, National Clinical Research Center for Orthopaedics & Sports Rehabilitation in China, Chinese PLA General Hospital, Beijing, China
| | - Weiqi Zhang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China
| | - Zhenlin Zhang
- Department of Osteoporosis and Bone Diseases, Shanghai Clinical Research Center of Bone Disease, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guang-Hui Liu
- State Key Laboratory of Membrane Biology, Institute of Zoology, Institute for Stem Cell and Regeneration, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China
| | - Changqing Zhang
- Department of Orthopedic Surgery, Institute of Microsurgery on Extremities, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Gang Pei
- Collaborative Innovation Center for Brain Science, School of Life Science and Technology, Tongji University, Shanghai, China
| | - Jian Luo
- Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University School of Medicine, Shanghai, China
| | - Rui Yue
- Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Institute for Regenerative Medicine, Shanghai East Hospital, Tongji University, Shanghai, China
| | - Weiguo Zou
- Department of Orthopedic Surgery, Institute of Microsurgery on Extremities, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Sciences, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
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Gregory A K, Daniel T H. Bone Turnover Markers for Assessment of Anti-Resorptive Effect in Clinical Practice: A Good Idea Meets the Problem of Measurement Uncertainty. Clin Biochem 2023; 116:100-104. [PMID: 37084998 DOI: 10.1016/j.clinbiochem.2023.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 04/15/2023] [Accepted: 04/17/2023] [Indexed: 04/23/2023]
Abstract
OBJECTIVES Bone turnover markers (BTM) are measures for understanding the effect of anti-resorptives upon osteoclast activity. Post-hoc trial data suggests reduction in BTM of 40% may represent a target for defining appropriate response to therapy. We modeled clinical application of this target threshold in an individual patient setting where assay measurement uncertainty and biological variation are included. DESIGN Using serum C-telo-peptide (ß-CTX), we constructed hypothetical scenarios of ß-CTX measurement pre and post bisphosphonate therapy. Using typical ß-CTX assay characteristics (analytical coefficient of variation, CV 5.0%) and published intra-individual ß-CTX data for post-menopausal women (CV 18.0%), we calculated the post-therapy ß-CTX that must be seen on single repeat measure for 95% confidence that the observed result was ≥40% below baseline. Sensitivity analyses considered greater and lesser variations in the combined sources of variation. RESULTS The one-tailed 95% reference change value for any detectable therapeutic decrease in ß-CTX was 22%. However, to have 95% confidence of having achieved a reduction ≥ 40%, an observed ß-CTX decrease of ≥56% is required. Larger decreases are needed for scenarios of greater analytical or intra-individual variation. CONCLUSIONS Although population data suggest a ß-CTX decrease of 40% is commensurate with adequate therapeutic response to anti-resorptives, application to an individual patient where measurement and natural variation are present is problematic. ß-CTX decreases much greater than 40% are required to be confident of having achieved the optimal treatment response. It is uncertain whether this is a legitimate change to be expected in all individual patients and therefore clinical application of this threshold is uncertain.
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Affiliation(s)
- Kline Gregory A
- Division of Endocrinology, Faculty of Medicine, Cumming School of Medicine, University of Calgary.
| | - Holmes Daniel T
- Department of Pathology and Laboratory Medicine, St. Paul's Hospital, Vancouver, BC, Canada; The University of British Columbia Department of Pathology and Laboratory
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12
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Lu Z, Cao H, Hu X. Circulating miR-340-5p and miR-506-3p as Two Osteo-miRNAs for Predicting Osteoporosis in a Cohort of Postmenopausal Women. JOURNAL OF ENVIRONMENTAL AND PUBLIC HEALTH 2023; 2023:7571696. [PMID: 36761245 PMCID: PMC9904902 DOI: 10.1155/2023/7571696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 11/01/2022] [Accepted: 11/28/2022] [Indexed: 02/04/2023]
Abstract
Objective An increasing risk of developing osteoporosis which is characterized by bone production weakness and microarchitectural deterioration is found among postmenopausal women. MicroRNAs (miRNAs) are secreted into the circulation from cells of various tissues in response to local disease severity including bone diseases. Herein, we set out to identify candidate miRNAs predictable for osteoporosis incidence in postmenopausal elderly women. Methods The circulating miRNA expression profiles deposited in the dataset accessioned as GSE201543 were downloaded from the GEO database. The study included 176 postmenopausal women who underwent BMD testing, including 96 women reporting osteoporosis and 70 women reporting normal BMD. All subjects were submitted their serum samples for measurements of bone metabolism markers. Results The miRNA expression profiles of the GSE201543 dataset were differentially analyzed and found 97 miRNAs being upregulated concomitantly with 31 miRNAs being downregulated in the serum samples between osteoporotic postmenopausal women and postmenopausal women with normal BMD. Osteoporotic postmenopausal women were demonstrated with elevated serum levels of miR-340-5p and miR-506-3p when compared to normal postmenopausal women. Pearson correlation analysis demonstrated that circulating miR-340-5p and miR-506-3p expressions were increased as BAP, β-CTx, and PINP levels increased, but osteocalcin and 25-(OH)VitD levels are declined in osteoporotic postmenopausal women. Results of the receiver operating characteristic (ROC) curve and the area under the ROC curve (AUC) showed circulating miR-340-5p and miR-506-3p expressions alone or combined together produced 0.843 AUC, 0.851 AUC, and 0.935 AUC, respectively, when used to predict the incidence of osteoporosis in postmenopausal women. Conclusion Our work suggested that circulating miR-340-5p and miR-506-3p function as osteo-miRNAs in postmenopausal women and may serve as potential noninvasive biomarkers for the incidence of osteoporosis in postmenopausal women.
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Affiliation(s)
- Zifeng Lu
- Department of Orthopedics (No. 1), Heilongjiang Beidahuang Group General Hospital, Harbin, Heilongjiang 150088, China
| | - Haiou Cao
- Department of Oncology (No. 6), Heilongjiang Beidahuang Group General Hospital, Harbin, Heilongjiang 150088, China
| | - Xiaoyin Hu
- Department of Orthopedics, Shanghai LiQun Hospital, Shanghai, China
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Lee HH, Choi EY, Jun HS, Kim YY. Osteoclast and Sclerostin Expression in Osteocytes in the Femoral Head with Risedronate Therapy in Patients with Hip Fractures: A Retrospective Comparative Study. MEDICINA (KAUNAS, LITHUANIA) 2022; 58:medicina58111566. [PMID: 36363523 PMCID: PMC9695260 DOI: 10.3390/medicina58111566] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 10/23/2022] [Accepted: 10/26/2022] [Indexed: 11/06/2022]
Abstract
Background and Objectives: The majority of research on the effects of osteoporosis drugs has measured the bone mineral density (BMD) of the spine and femur through dual-energy X-ray absorptiometry (DEXA) and compared and analyzed the effects of the drugs through changes in the BMD values. This study aims to compare osteoclast and sclerostin expression in osteocytes after risedronate therapy by obtaining femoral heads from patients with hip fractures. Materials and Methods: We obtained the femoral heads of 10 female patients (age: ≥65 years) who received risedronate therapy for at least 1 year through hip arthroplasty during 2019−2021 (risedronate group). Meanwhile, 10 patients who had never received osteoporosis treatment were selected as controls using propensity scores with age, body mass index, and bone density as covariates (control group). While the osteoclast count was evaluated using tartrate-resistant acid phosphatase (TRAP) staining, the sclerostin expression in osteocytes was assessed using immunohistochemistry. Moreover, Western blotting and polymerase chain reaction (PCR) were performed for receptor activation of nuclear factor kappa-Β ligand (RANKL), RANK, osteoprotegerin (OPG), sclerostin, and bone morphogenetic protein-2 (BMP2). Results: TRAP staining revealed significantly more TRAP-positive cells in the control group (131.75 ± 27.16/mm2) than in the risedronate group (28.00 ± 8.12/mm2). Moreover, sclerostin-positive osteocytes were expressed more in the control group (364.12 ± 28.12/mm2) than in the risedronate group (106.93 ± 12.85/mm2). Western blotting revealed that the expressions of RANKL, RANK, sclerostin, and BMP2 were higher in the control group than in the risedronate group (p < 0.05). Furthermore, RANK, sclerostin, and OPG protein levels were higher in the control group than in the risedronate group. Conclusions: In this study, the risedronate group demonstrated lower osteoclast activity and sclerostin expression in osteocytes in the femoral head than the control group.
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