The aim of our study was to conduct a case-control study in a Chinese postmenopausal population to evaluate the roles of the IGF-1 rs35767 and rs972936 polymorphisms on bone mineral density (BMD) levels and osteoporosis risk. A total of 272 consecutive postmenopausal women with a primary diagnosis of osteoporosis and 272 controls were enrolled in the study between 2012 and 2014. The polymerase chain reaction-restriction fragment length polymorphism method was used to genotype the rs35767 and rs972936 IGF-1 polymorphisms.
In this study, we evaluated genetic factors related to the mineral density during post-menopause. We evaluated 110 women in the first 5 years post-menopause, without previous hormone replacement therapy. Cytochrome P450 17 (CYP17) (rs743572), catechol-O-methyl transferase (COMT) (rs4680), and estrogen receptor 1 (ESR1) (rs9322331) were examined for the presence of polymorphisms.
We conducted a case-control study to assess the relationship between rs35767, rs2288377, and rs5742612 insulin-like growth factor-1 (IGF-1) and osteoporosis risk in a Chinese female population. The genotypes of rs35767, rs2288377, and rs5742612 of IGF-1 were determined by polymerase chain reaction-restriction fragment length polymorphism. Patients with osteoporosis were more likely to have drinking and smoking habits and have lower bone mineral density in the L2-L4 vertebrae, femoral neck, and total hip.
Osteoporosis is the most common bone disease, affecting millions of people worldwide and leading to significant morbidity and high costs. Monacolin K, an extract of red yeast rice (RYR, Hongqu), plays important roles in the management of dyslipidemia, coronary heart disease, and diabetes. Our study aimed to investigate the protective effect of monacolin K on ovariectomy-induced bone loss in rats.
Studies investigating the association between the COL1A1 gene -1997G/T polymorphism and the risk of osteoporosis in postmenopausal women have reported conflicting results. We performed a meta-analysis based on the evidence currently available from the literature to make a more precise estimation of this relationship. We conducted searches of the published literature in the PubMed and Embase databases up to September 2014. We estimated the pooled odds ratios with their 95% confidence intervals to assess the associations using fixed- or random-effect models.