Osteogenesis imperfecta (OI) is a rare genetic disorder of the connective tissue and 90% of cases are due to dominant mutations in COL1A1 and COL1A2 genes. To increase OI disease knowledge and contribute to patient follow-up management, a homogeneous Italian cohort of 364 subjects affected by OI types I–IV was evaluated. The study population was composed of 262 OI type I, 24 type II, 39 type III, and 39 type IV patients. Three hundred and nine subjects had a type I collagen affecting function mutations (230 in α1(I) and 79 in α2(I)); no disease-causing changes were noticed in 55 patients. Compared with previous genotype–phenotype OI correlation studies, additional observations arose: a new effect for α1- and α2-serine substitutions has been pointed out and heart defects, never considered before, resulted associated to quantitative mutations (P = 0.043). Moreover, some different findings emerged if compared with previous literature; especially, focusing the attention on the lethal form, no association with specific collagen regions was found and most of variants localized in the previously reported “lethal clusters” were causative of OI types I–IV. Some discrepancies have been highlighted also considering the “50–55 nucleotides rule,” as well as the relationship between specific collagen I mutated region and the presence of dentinogenesis imperfecta and/or blue sclera. Despite difficulties still present in defining clear rules to predict the clinical outcome in OI patients, this study provides new pieces for completing the puzzle, also thanks to the inclusion of clinical signs never considered before and to the large number of OI Italian patients.
The aim of the study was to assess the factors potentially involved in coronary artery calcifications (CAC) in end-stage renal disease patients. 253 hemodialysis (HD) patients (92 females, 161 males), aged 62.5 ± 13.5, who had been on HD treatment for at least 6 months, were enrolled in a cross-sectional study. Calcium-phosphate product (Ca × P), body mass index (BMI), fetuin-A, osteoprotegerin (OPG), osteopontin, transforming growth factor-β1 (TGF-β1), fibroblast growth factor-23 (FGF-23) and matrix Gla protein (MGP) were considered. CAC was assessed using multislice spiral computed tomography and calcium score was quantified by means of the Agatston score. The median calcium score was 364 Agatston (range 0–7,336). CAC was detected in 228/253 patients (90.1%). Multivariate regression analysis, adjusted for age and for dialysis vintage, showed that TGF-β1, OPG and days with Ca × P >55 mg/dl are independent predictors of CAC, while MGP was shown to be a protective factor. Surprisingly, results showed that BMI was a protective factor too: the interpolation with cubic spline function revealed a significant reduction in calcium score in patients with a high BMI (>28). However, when diabetes was considered in the regression analysis, only OPG emerged as a predictor of a high CAC score. The interpolation with spline function continued to show a significant reduction in CAC score in nondiabetic and in diabetic patients with the highest BMI quartile. The protective effect of a high BMI on CAC might represent another example of inverse biology in dialysis patients but it needs to be further addressed in larger longitudinal studies.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.