Skip to main content

Advertisement

Log in

Assessment of bone formation by biochemical markers in metabolic bone disease: Separation between osteoblastic activity at the cell and tissue level

  • Clinical Investigations
  • Published:
Calcified Tissue International Aims and scope Submit manuscript

Summary

In this study, serum levels of classical serum markers of bone formation [carboxyterminal propeptide of procollagen type I (S-PICP), bone Gla protein (S-BGP)], and total alkaline phosphatase (S-AP)) were related to the calcium kinetic index of whole skeletal mineralization rate (m) by regression analysis in a variety of metabolic bone diseases. For each disease, the regression coefficient (r) as well as the fraction: standard error of estimate/mean dependent variable (SEE/Y) were determined. In a group of 19 normals, only the regression of S-PICP on m reached significance (r=0,53, P<0.02, SEE/Y=0.44), whereas regressions of S-AP and S-BGP on m were nonsignificant. In a pooled material of high-and low-turnover bone diseases without mineralization defects or spinal fracture [myxedema, thyrotoxicosis, and primary hyperparathyroidism (n=48)], a highly significant positive regression of S-PICP on m was demonstrable (r=0.50, SEE/Y=0.63, P<0.001). The regression coefficients obtained for S-BGP and S-AP were 0.74 (P<0.001, SEE/Y=0.41) and 0.42 (P<0.01, SEE/Y=0.55), respectively. When analyzing individual diseases in this group, significant differences among the three markers were detectable. In a group of 52 osteoporotics, S-PICP correlated significantly to m (r=0.49, P<0.001, SEE/Y=0.50). Corresponding r-values for S-BGP and S-AP were 0.21 (NS) and 0.48 (P<0.001, SEE/Y=0.61), respectively.

Patients with histologically proven osteomalacia revealed no correlation between S-PICP and m. S-BGP and S-AP were, however. significantly correlated to m [r=0.92 (SEE/Y=0.46) and r=0.82 (SEE/Y=0.57), respectively], indicating that S-BGP and S-AP reflect mineralization activity, whereas S-PICP reflects matrix formation only. In order to study cellular production of the three formative markers, organ level production rate was normalized for bone turnover by division with m. For each marker, the fraction (bone marker concentration/m) was calculated and the means compared with normal controls. S-PICP/m was found to be lower than normal in primary hyperparathyroidism (P<0.01) and thyrotoxicosis (P<0.001). S-AP/m was elevated in myxedema (P<0.05), osteoporosis (P<0.001), and osteomalacia (P<0.01). S-BGP/m only deviated significantly from normal in osteomalacia (P<0.001).

In conclusion, we found S-BGP to be a reliable marker of organ level mineralization rate in all diseases studied, whereas the regressions of S-AP and S-PICP revealed disease-specific discrepancies. This study also revealed significant alterations in the osteoblastic production rate of the three formative markers at the level of individual osteoblasts that have to be taken into account when comparing bone marker concentrations with other indices reflecting bone formation (e.g., calcium kinetics and histomorphometry).

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Charles P, Poser JW, Mosekilde L, Jensen FT (1985) Estimation of bone turnover evaluated by 47calcium kinetics. Efficiency of serum bone gamma carbocyglutamic acid containing protein, serum alkaline phosphatase and urinary hydroxyproline excretion. J Clin Invest 76:2254–2258

    Google Scholar 

  2. Eastell R, Delmas PD, Hodgson SF, Eriksen EF, Mann KG, Riggs BL (1988) Bone formation rate in older normal women: concurrent assessment with bone histomorphometry, calcium kinetics and biochemical markers. J Clin Endocrinol Metab 67:741–748

    Google Scholar 

  3. Brixen K, Nielsen HK, Eriksen EF, Charles P, Mosekilde L (1989) Efficacy of wheat germ lectin precipitated alkaline phosphatase in serum as an estimator of bone mineralization rate: comparison of serum total alkaline phosphatase and serum Bone Gla Protein. Calcif Tissue Int 44:93–98

    Google Scholar 

  4. Charles P, Mosekilde L, Tågehøj Jensen F (1986) Primary hyperparathyroidism evaluated by 47calcium kinetics, calcium balance and serum bone Gla protein. Eur J Clin Invest 16:277–282

    Google Scholar 

  5. Robey PG, Fisher LW, Young MF, Termine JD (1988) The biochemistry of bone. In: BL Riggs, LJ Melton III (eds) Osteoporosis. Raven Press, New York, pp 95–109

    Google Scholar 

  6. Parfitt AM, Simon LS, Villanueva AR, Simon SM (1987) Procollagen type I carboxyterminal extension peptide in serum as a marker of collagen biosynthesis in bone. Correlation with iliac bone formation rates and comparison with total alkaline phosphatase. J Bone Miner Res 2:427–436

    Google Scholar 

  7. Taubman MB, Kammerman S, Goldberg B (1976) Radioimmunoassay of procollagen in serum of patients with Pagets disease of bone. Proc Soc Exp Biol Med 152:284–287

    Google Scholar 

  8. Simon LS, Krane SM, Wortman PD, Krane IM, Kovitz KL (1984) Serum levels of type I and III procollagen fragments in Pagets disease of bone. J Clin Endocrinol Metab 58:110–120

    Google Scholar 

  9. Melkko J, Niemi S, Risteli L, Risteli J (1990) Radioimmunoassay for the carboxyterminal propeptide of human type I procollagen. Clin Chem 36:1328–1332

    Google Scholar 

  10. Risteli L, Risteli J (1990) Noninvasive methods for detection of organ fibrosis. In: M Rojkind (ed) Connective tissue in health and disease, vol. 1, CRC press, Boca Raton, Florida, pp 61–98

    Google Scholar 

  11. Nimni ME (1983) Collagen: structure, function, metabolism in normal and fibrotic tissues. Semin Arthritis Rheum 13:1–86

    Google Scholar 

  12. Burkinshaw L, Marshall DH, Oxby CB (1969) Bone turnover model based on a continuously expanding calcium pool. Nature 222:146–148

    Google Scholar 

  13. Charles P, Eriksen EF, Melsen F, Jensen FT, Mosekilde L (1987) Trabecular bone turnover as evaluated by 47Ca-kinetics and dynamic histomorphometry. Metabolism 36:1118–1124

    Google Scholar 

  14. Jensen FT, Charles P, Mosekilde L, Hvid Hansen H (1983) Calcium metabolism evaluated by 47Ca-kinetics: a physiological model with correction for fecal lag time and estimation of dermal calcium loss. Clin Physiol 3:187–204

    Google Scholar 

  15. Price PA, Parthemore JG, Deftos LJ (1980) New biochemical marker for bone metabolism: measurement by radioimmunoassay of bone Gla-protein in the plasma of normal subjects and patients with bone disease. J Clin Invest 66:878–882

    Google Scholar 

  16. The Committee on Enzymes of the Scandinavian Society for Clinical Chemistry and Clinical Physiology (1974) Recommended methods for the determinations of four enzymes in blood. Scand J Clin Lab Invest 33:281–306

    Google Scholar 

  17. Smedsrød B, Melkko J, Risteli L, Risteli J (1990) Circulating C-terminal propeptide of type I procollagen is cleared mainly via the mannose receptor in liver endothelial cells. Biochem J 271:345–350

    Google Scholar 

  18. Jensen LT, Olesen HP, Risteli J, Lorenzen I (1990) External thoracic duct-venous shunt in conscious pigs for long-term studies of connective tissue metabolites in lymph. Lab Anim Sci 40:620–624

    Google Scholar 

  19. Delmas PD, Wilson DM, Mann KG, Riggs BL (1983) Effect of renal function on plasma levels of bone Gla Protein. J Clin Endocrinol Metab 57:1028–1030

    Google Scholar 

  20. Eriksen EF (1986) Normal and pathological remodeling of human trabecular bone: three-dimensional reconstruction of the remodeling sequence in normals and in metabolic bone disease. Endocr Rev 7:379–408

    Google Scholar 

  21. Kekki M (1964) Serum protein turnover in experimental hypothyroidism and hyperthyroidism. Acta Endocrinologica (suppl) 91:1–139

    Google Scholar 

  22. Mosekilde L, Eriksen EF, Charles P (1990) Effects of thyroid hormones on bone and mineral metabolism. Endocrinol Metab Clin North Am 19:35–63

    Google Scholar 

  23. Eriksen EF, Hodgson SF, Eastell R, Cedel SL, O'Fallon WM, Riggs BL (1990) Cancellous bone remodeling in type I (postmenopausal) osteoporosis: quantitative assessment of rates of information, resorption and bone loss at tissue and cellular levels. J Bone Miner Res 5:311–319

    Google Scholar 

  24. Darby AJ, Meunier PJ (1981) Mean wall thickness and formation periods of trabecular bone packets in idiopathic osteoporosis. Calcif Tissue Int 33:199–204

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Charles, P., Hasling, C., Risteli, L. et al. Assessment of bone formation by biochemical markers in metabolic bone disease: Separation between osteoblastic activity at the cell and tissue level. Calcif Tissue Int 51, 406–411 (1992). https://doi.org/10.1007/BF00296671

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00296671

Keywords

Navigation