Literature DB >> 18219436

Short-term changes in serum PINP predict long-term changes in trabecular bone in the rat ovariectomy model.

Jukka P Rissanen1, Mari I Suominen, Zhiqi Peng, Jukka Morko, Simo Rasi, Juha Risteli, Jussi M Halleen.   

Abstract

Serum procollagen I N-terminal propeptide (PINP) is a sensitive bone formation marker in humans. We have developed a nonradioactive immunoassay for rat PINP and studied PINP as a bone formation marker in the rat ovariectomy (OVX) model. Two OVX studies were performed with 3-month-old rats, both including measurement of PINP, C-terminal cross-linked telopeptide of type I collagen (CTX), and N-terminal mid-fragment of osteocalcin. A pilot 14-day study contained a sham-operated control group and an OVX group, and an extensive 8-week study contained a sham-operated control group and OVX groups receiving vehicle and 17 beta-estradiol (E2, 10 microg/kg/day s.c.). The bone markers were measured before the operation and at days 2, 4, 7, 10, and 14 in the pilot study and before the operations and at 2 and 8 weeks in the extensive study. Trabecular bone parameters were determined by peripheral quantitative computed tomography and histomorphometry from tibial metaphysis in the extensive study. The rat PINP immunoassay had the following characteristics: intra-assay coefficient of variation (CV) 2.8%, interassay CV 7.5%, dilution linearity 95%, and recovery 107%. PINP increased significantly during the first 2 weeks after OVX and returned to sham level at 8 weeks. E2 prevented the increase caused by OVX. Changes in PINP at 2 weeks correlated strongly with changes in CTX and osteocalcin at 2 weeks and with trabecular bone parameters at 8 weeks. As a conclusion, short-term changes in PINP predict long-term changes in trabecular bone parameters, suggesting that PINP is a reliable marker of bone formation in the rat OVX model.

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Year:  2008        PMID: 18219436     DOI: 10.1007/s00223-007-9101-6

Source DB:  PubMed          Journal:  Calcif Tissue Int        ISSN: 0171-967X            Impact factor:   4.333


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