Journal of Bone Metabolism (대한골대사학회지)

The Korean Society for Bone and Mineral Research (대한골대사학회)
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Age-related Reference Intervals for Total Collagen-I-N-terminal Propeptide in Healthy Korean Population

  • Yoo, Jun-Il (Department of Orthopaedic Surgery, Gyeongsang National University Hospital) ;
  • Park, Ae-Ja (Department of Laboratory Medicine, Chung-Ang University College of Medicine) ;
  • Lim, Yong Kwan (Department of Laboratory Medicine, Chung-Ang University College of Medicine) ;
  • Kweon, Oh Joo (Department of Laboratory Medicine, Aerospace Medical Center, Republic of Korea Air Force) ;
  • Choi, Jee-Hye (Department of Laboratory Medicine, Chung-Ang University College of Medicine) ;
  • Do, Jae Hyuk (Department of Internal Medicine, Chung-Ang University College of Medicine) ;
  • Kim, Sunjoo (Department of Laboratory Medicine, Gyeongsang National University College of Medicine) ;
  • Kim, Youngri (Department of Laboratory Medicine, Jeju National University Hospital) ;
  • Ha, Yong-Chan (Department of Orthopaedic Surgery, Chung-Ang University College of Medicine)
  • Received : 2018.09.05
  • Accepted : 2018.11.28
  • Published : 2018.11.30
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Abstract

Background: Procollagen type I N-terminal propeptide (PINP) is one of the most clinically useful bone formation biomarkers. Therefore, the purpose of this study was to independently evaluate the performance of automated total PINP assay and established age- and gender- specific reference intervals for PINP in healthy Korean population. Methods: The imprecision, linearity, and detection capability of Elecsys total PINP assay was determined and reference interval was established using 599 serums from Korean population with normal bone mineral densities based on bone densitometry. Age groups were divided into 20s, 30s, 40s, 50s, 60s and over. Results: Elecsys total PINP had excellent performance in imprecision, linearity, and detection capability. When partitioning age groups in Korean male and female populations, there was significant difference in total PINP between different age groups. In male populations, PINP level was decreased with increasing age, then it remained steady after middle-age. In female populations, there was a decreasing tendency similar to that in the male population with a sharp increase in the 50 to 59 age group. Conclusions: Elecsys total PINP assay showed precise and reliable performance in our study. We established age-related PINP reference intervals for Korean male and female population with normal bone mineral densities.

Keywords

References

  1. Kanis JA. Assessment of fracture risk and its application to screening for postmenopausal osteoporosis: synopsis of a WHO report. WHO Study Group. Osteoporos Int 1994;4: 368-81. https://doi.org/10.1007/BF01622200
  2. Ha YC. Epidemiology of osteoporosis in Korea. J Korean Med Assoc 2016;59:836-41. https://doi.org/10.5124/jkma.2016.59.11.836
  3. Park CH, Lee YK, Ha YC. Change of bone mineral density measurement among patients with osteoporotic fractures in Korean population using national claim database. J Bone Metab 2017;24:183-6. https://doi.org/10.11005/jbm.2017.24.3.183
  4. Yoon BH, Yu W. Clinical utility of biochemical marker of bone turnover: fracture risk prediction and bone healing. J Bone Metab 2018;25:73-8. https://doi.org/10.11005/jbm.2018.25.2.73
  5. Hoshino H, Kushida K, Takahashi M, et al. Changes in levels of biochemical markers and ultrasound indices of Os calcis across the menopausal transition. Osteoporos Int 2000;11:128-33. https://doi.org/10.1007/s001980050016
  6. Garnero P, Hausherr E, Chapuy MC, et al. Markers of bone resorption predict hip fracture in elderly women: the EPIDOS Prospective Study. J Bone Miner Res 1996;11:1531-8.
  7. Emami A, Larsson A, Petren-Mallmin M, et al. Serum bone markers after intramedullary fixed tibial fractures. Clin Orthop Relat Res 1999;368:220-9.
  8. Orum O, Hansen M, Jensen CH, et al. Procollagen type I N-terminal propeptide (PINP) as an indicator of type I collagen metabolism: ELISA development, reference interval, and hypovitaminosis D induced hyperparathyroidism. Bone 1996;19:157-63. https://doi.org/10.1016/8756-3282(96)89369-0
  9. Vasikaran S, Cooper C, Eastell R, et al. International osteoporosis foundation and international federation of clinical chemistry and laboratory medicine position on bone marker standards in osteoporosis. Clin Chem Lab Med 2011;49: 1271-4.
  10. Ivaska KK, Gerdhem P, Vaananen HK, et al. Bone turnover markers and prediction of fracture: a prospective follow-up study of 1040 elderly women for a mean of 9 years. J Bone Miner Res 2010;25:393-403. https://doi.org/10.1359/jbmr.091006
  11. Ardawi MS, Maimani AA, Bahksh TA, et al. Reference intervals of biochemical bone turnover markers for Saudi Arabian women: a cross-sectional study. Bone 2010;47:804-14. https://doi.org/10.1016/j.bone.2010.07.017
  12. Jenkins N, Black M, Paul E, et al. Age-related reference intervals for bone turnover markers from an Australian reference population. Bone 2013;55:271-6. https://doi.org/10.1016/j.bone.2013.04.003
  13. Morovat A, Catchpole A, Meurisse A, et al. IDS iSYS automated intact procollagen-1-N-terminus pro-peptide assay: method evaluation and reference intervals in adults and children. Clin Chem Lab Med 2013;51:2009-18.
  14. Brandt J, Krogh TN, Jensen CH, et al. Thermal instability of the trimeric structure of the N-terminal propeptide of human procollagen type I in relation to assay technology. Clin Chem 1999;45:47-53.
  15. Clinical and Laboratory Standards Institute. Evaluation of precision of quantitative measurement procedures: Approved guideline. 3rd ed. Wayne, PA: CLSI document EP5-A3; 2014.
  16. Clinical and Laboratory Standards Institute. Evaluation of detection capability for clinical laboratory measurement procedures: Approved guideline. 2nd ed. Wayne, PA: CLSI document EP17-A2; 2012.
  17. Bauer DC, Sklarin PM, Stone KL, et al. Biochemical markers of bone turnover and prediction of hip bone loss in older women: the study of osteoporotic fractures. J Bone Miner Res 1999;14:1404-10. https://doi.org/10.1359/jbmr.1999.14.8.1404
  18. Bauer DC, Garnero P, Harrison SL, et al. Biochemical markers of bone turnover, hip bone loss, and fracture in older men: the MrOS study. J Bone Miner Res 2009;24:2032-8. https://doi.org/10.1359/jbmr.090526
  19. Finnes TE, Lofthus CM, Meyer HE, et al. Procollagen type 1 amino-terminal propeptide (P1NP) and risk of hip fractures in elderly Norwegian men and women. A NOREPOS study. Bone 2014;64:1-7. https://doi.org/10.1016/j.bone.2014.03.010
  20. Garnero P, Vergnaud P, Hoyle N. Evaluation of a fully automated serum assay for total N-terminal propeptide of type I collagen in postmenopausal osteoporosis. Clin Chem 2008;54:188-96.
  21. Koivula MK, Richardson J, Leino A, et al. Validation of an automated intact N-terminal propeptide of type I procollagen (PINP) assay. Clin Biochem 2010;43:1453-7. https://doi.org/10.1016/j.clinbiochem.2010.09.019
  22. Hu WW, Zhang Z, He JW, et al. Establishing reference intervals for bone turnover markers in the healthy Shanghai population and the relationship with bone mineral density in postmenopausal women. Int J Endocrinol 2013;2013: 513925.
  23. Martinez J, Olmos JM, Hernandez JL, et al. Bone turnover markers in Spanish postmenopausal women: the Camargo cohort study. Clin Chim Acta 2009;409:70-4. https://doi.org/10.1016/j.cca.2009.08.020
  24. Glover SJ, Gall M, Schoenborn-Kellenberger O, et al. Establishing a reference interval for bone turnover markers in 637 healthy, young, premenopausal women from the United Kingdom, France, Belgium, and the United States. J Bone Miner Res 2009;24:389-97. https://doi.org/10.1359/jbmr.080703

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