Calcif Tissue Int., 2007; 81(5): 403-13, PMID: 17982704
A comparison between the effects of hydrophobic and hydrophilic statins on osteoclast function in vitro and ovariectomy-induced bone loss in vivo
Hughes A, Rogers MJ, Idris AI, Crockett JC
Department of Medicine and Therapeutics, University of Aberdeen, Institute of Medical Sciences, Foresterhill, Aberdeen, AB25 2ZD, UK. email@example.com
AbstractStatins potently inhibit 3-hydroxy-3-methylglutaryl-coenzyme A reductase, blocking downstream biosynthesis of isoprenoid lipids and causing inhibition of protein prenylation. Prenylated signaling molecules are essential for osteoclast function, consistent with our previous observation that mevastatin can inhibit osteoclast activity in vitro. Several reports suggest that statins may also have an anabolic effect on bone and stimulate osteoblast differentiation. This study sought to determine the effects of both hydrophobic and hydrophilic statins, particularly rosuvastatin (RSV), on osteoclast function in vitro and in vivo. All statins tested (RSV, pravastatin [PRA], cerivastatin [CER], and simvastatin [SIM]) caused accumulation of unprenylated Rap-1A in rabbit osteoclast-like cells and J774 macrophages in vitro and inhibited osteoclast-mediated resorption. The order of potency for inhibiting prenylation in vitro (at concentrations of 0.01-50 muM) was CER>SIM>RSV>PRA. The most potent hydrophilic statin (CER, 0.05 and 0.3 mg/kg) inhibited prenylation in rabbit osteoclasts 24 hours after a single subcutaneous (s.c.) injection more effectively than the most potent hydrophobic statin (RSV, 20 mg/kg). However, in a mouse model of osteoporosis, s.c. 0.05 mg/kg/day CER and 2 or 20 mg/kg/day RSV for 3 weeks only mildly prevented loss of cortical and trabecular bone induced by ovariectomy. No increase in bone formation rate was observed with statin treatment, suggesting that this effect was due to inhibition of osteoclast-mediated resorption rather than increased bone formation.
Produktgruppen: pQCT Knochendichte & -geometrie
Themen: Diagnostik mit Leonardo & pQCT, Grundlagenforschung
Doc-ID: 1398, 22.07.2008