title: Assessment of bone formation by biochemical markers in metabolic bone disease: separation between osteoblastic activity at the cell and tissue level.
abstract: 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.(ABSTRACT TRUNCATED AT 250 WORDS)
authors.affiliation: University Department of Endocrinology and Metabolism, Medical Department III, Aarhus, Denmark.
authors.forename: P
authors.initials: P
authors.lastname: Charles
authors.forename: C
authors.initials: C
authors.lastname: Hasling
authors.forename: L
authors.initials: L
authors.lastname: Risteli
authors.forename: J
authors.initials: J
authors.lastname: Risteli
authors.forename: L
authors.initials: L
authors.lastname: Mosekilde
authors.forename: E F
authors.initials: EF
authors.lastname: Eriksen
mesh_terms: D000328:Adult; D000368:Aged; D000469:Alkaline Phosphatase / Q000097:blood; D015415:Biomarkers / Q000097:blood; D015519:Bone Density; D001851:Bone Diseases, Metabolic / Q000097:blood / Q000503:physiopathology*; D001862:Bone Resorption / Q000503:physiopathology; D002118:Calcium / Q000378:metabolism*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D010006:Osteoblasts / Q000378:metabolism / Q000502:physiology*; D015675:Osteocalcin / Q000097:blood; D010018:Osteomalacia / Q000097:blood / Q000503:physiopathology; D010024:Osteoporosis / Q000097:blood / Q000503:physiopathology; D010446:Peptide Fragments / Q000097:blood; D011347:Procollagen / Q000097:blood; D012016:Reference Values; D012044:Regression Analysis
chemical_list: D015415:Biomarkers; D010446:Peptide Fragments; D011347:Procollagen; C042813:procollagen type I carboxy terminal peptide; D015675:Osteocalcin; D000469:Alkaline Phosphatase; D002118:Calcium