Evaluating the Role of Bone Turnover Markers in Diagnosing and Monitoring Osteoporosis: A Cross-Sectional Study

Authors

  • Bhoopendra Singh Tandan Assistant Professor, Department of Orthopaedic, Abhishek I Mishra Memorial medical College, Bhilai, Chhattisgarh
  • Saurabh Xalxo Assistant Professor, Department of Orthopaedics, Abhishek I Mishra Memorial medical College, Bhilai, Chhattisgarh
  • Nitin Wale Associate Professor, Department of Orthopaedics, Government Medical College, Mahasamund, Chhattisgarh

Abstract

Background: Osteoporosis is a systemic skeletal disease characterized by low bone mass and microarchitectural deterioration, leading to increased fracture risk. The standard diagnostic tool, Dual-energy X-ray absorptiometry (DXA), measures bone mineral density (BMD) but does not capture the dynamic state of bone remodeling. Bone turnover markers (BTMs) reflect the rate of bone formation and resorption and may offer complementary diagnostic and prognostic information. Methods: A single-center, cross-sectional study was conducted on 150 postmenopausal women aged 50–75. Participants were categorized into three groups based on WHO T-score criteria: Healthy Controls (n=50, T-score > -1.0), Osteopenia (n=50, T-score between -1.0 and -2.5), and Osteoporosis (n=50, T-score ≤ -2.5). Fasting morning serum samples were collected and analyzed for P1NP and CTX-I levels using electrochemiluminescence immunoassays. BMD was measured at the lumbar spine and femoral neck by DXA. Data were analyzed using one-way ANOVA with Tukey's post-hoc test. Results: The mean age of participants was significantly higher in the osteoporosis group (65.8 ± 6.1 years) compared to the osteopenia (61.2 ± 5.5 years) and control groups (58.4 ± 4.9 years) (p < 0.001). Serum P1NP levels were significantly elevated in the osteoporosis group (80.5 ± 21.2 ng/mL) compared to both the osteopenia group (55.3 ± 15.8 ng/mL) and the control group (35.1 ± 10.4 ng/mL) (p < 0.001). Similarly, serum CTX-I levels showed a stepwise increase, with the highest levels in the osteoporosis group (752.1 ± 148.3 ng/L), followed by the osteopenia group (501.7 ± 119.5 ng/L), and the lowest in controls (303.4 ± 82.6 ng/L) (p < 0.001). All pairwise comparisons between the groups for both markers were statistically significant (p < 0.01). Conclusion: Serum levels of P1NP and CTX-I are significantly and progressively elevated in postmenopausal women with osteopenia and osteoporosis compared to healthy controls. These findings support the potential role of BTMs as valuable adjuncts to BMD for identifying individuals with high bone turnover, assessing fracture risk, and potentially monitoring therapeutic response in osteoporosis management.

Keywords:

Osteoporosis, Bone Turnover Markers, P1NP, CTX-I, Bone Mineral Density, Diagnosis, Postmenopausa

References

1. Kanis JA, McCloskey EV, Johansson H, et al. A systematic review of hip fracture incidence and probability of fracture worldwide. Osteoporos Int. 2012;23(9):2239-2256. DOI: 10.1007/s00198-012-1964-3.

2. Johnell O, Kanis JA. An estimate of the worldwide prevalence and disability associated with osteoporotic fractures. Osteoporos Int. 2006;17(12):1726-1733. DOI: 10.1007/s00198-006-0172-4.

3. World Health Organization. Assessment of fracture risk and its application to screening for postmenopausal osteoporosis. Report of a WHO Study Group. World Health Organ Tech Rep Ser. 1994;843:1-129. PMID: 7941614.

4. Bouxsein ML, Zysset PK. What's new in bone quality? IBMS BoneKEy. 2008;5(6):209-222. DOI: 10.1138/20080330.

5. Siris ES, Chen YT, Abbott TA, et al. Bone mineral density thresholds for pharmacological intervention to prevent fractures. Arch Intern Med. 2004;164(10):1108-1112. DOI: 10.1001/archinte.164.10.1108.

6. Manolagas SC. Role of cytokines in bone resorption. Bone. 1995;17(2 Suppl):63S-67S. DOI: 10.1016/8756-3282(95)00180-L.

7. Delmas PD, Eastell R, Garnero P, Seibel MJ, Stepan J; Committee of Scientific Advisors of the International Osteoporosis Foundation. The use of biochemical markers of bone turnover in osteoporosis. Committee of Scientific Advisors of the International Osteoporosis Foundation. Osteoporos Int. 2000;11 Suppl 6:S2-S17. DOI: 10.1007/s001980070002.

8. Vasikaran S, Eastell R, Bruyère O, et al. Markers of bone turnover for the prediction of fracture risk and monitoring of osteoporosis treatment: a need for international reference standards. Osteoporos Int. 2011;22(2):391-420. DOI: 10.1007/s00198-010-1501-1.

9. Garnero P, Sornay-Rendu E, Claustrat B, Delmas PD. Biochemical markers of bone turnover, endogenous hormones and the risk of fractures in postmenopausal women: the OFE-LY study. J Bone Miner Res. 2000;15(8):1526-1536. DOI: 10.1359/jbmr.2000.15.8.1526.

10. Al-Daghri NM, Al-Attas OS, Alokail MS, et al. Increased bone turnover in Saudi postmenopausal women with type 2 diabetes. BMC Musculoskelet Disord. 2010;11:65. DOI: 10.1186/1471-2474-11-65.

11. Eastell R, Szulc P. Use of bone turnover markers in postmenopausal osteoporosis. Lancet Diabetes Endocrinol. 2017;5(11):908-923. DOI: 10.1016/S2213-8587(17)30184-5.

12. Riggs BL, Khosla S, Melton LJ 3rd. A unitary model for involutional osteoporosis: estrogen deficiency causes both type I and type II osteoporosis in postmenopausal women and contributes to bone loss in aging men. J Bone Miner Res. 1998;13(5):763-773. DOI: 10.1359/jbmr.1998.13.5.763.

13. Bauer DC, Garnero P, Hochberg MC, et al. Pre-treatment levels of bone turnover and the antifracture efficacy of alendronate: the fracture intervention trial. J Bone Miner Res. 2006;21(2):292-298. DOI: 10.1359/JBMR.051005.

14. Srivastava AK, Vliet EL, Lewiecki EM, et al. Clinical use of bone turnover markers in the management of osteoporosis. Curr Med Res Opin. 2019;35(5):949-958. DOI: 10.1080/03007995.2019.1587320.

15. Camacho PM, Petak SM, Binkley N, et al. American Association of Clinical Endocrinologists/American College of Endocrinology Clinical Practice Guidelines for the Diagnosis and Treatment of Postmenopausal Osteoporosis-2020 Update. EndocrPract. 2020;26(Suppl 1):1-46. DOI: 10.4158/GL-2020-0524.

Published

2025-08-26
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