Project description:The aim of the study is determining bone mineral density (BMD) of Patients with beta thalassemia in order to find the prevalence and related factors on the conditions. Z-Score of femoral neck and lumbar vertebrae were reported comparing normal matched subjects. Age and bone mineral density were significantly correlated. Moreover, the disease had significantly higher severity in men than in women. A negative significant correlation was detected between BMD and the mean of hematocrit in the last 5 years. There was significant differences between sex hormone and bone density. A significant correlation between hydroxy urea and BMD were found. A significant relationship between the use of bisphosphonates and bone density were found. Osteopenia and osteoporosis were highly prevalent in our participants. Therefore, regular tests are required to examine bone mineral density in these patients. Furthermore, the exact effect of age on bone mineral density need to be clarified.
Project description:BackgroundA common complication of thalassemia is secondary osteoporosis. This study aimed to assess the prevalence and factors associated with low BMD in thalassemic patients.MethodThis is a cross-sectional study. Eligible patients were males aged within 18-49 years or premenopausal women diagnosed with thalassemia in Chiang Mai University Hospital between July 2021 and July 2022. The diagnosis of low BMD by dual-energy x-ray absorptiometry (DXA) was defined as a Z-score of -2.0 SD or lower in either the lumbar spine or femoral neck. Clinical factors associated with low BMD were analyzed using a logistic regression model.ResultsPrevalence of low BMD was 62.4% from 210 patients with a mean age of 29.7 ± 7.6 years. The predominant clinical characteristics of low BMD thalassemia patients were being female, transfusion-dependent (TDT) and a history of splenectomy. From multivariable analysis, the independent variables associated with low BMD were transfusion dependency (odds ratio, OR 2.36; 95%CI 1.28 to 4.38; p=0.006) and body mass index (BMI) (OR 0.71; 95%CI 0.61 to 0.82; p<0.001). Among patients with low BMD, we observed a correlation between a Z-score with low IGF-1 levels (β=-0.42; 95% CI -0.83 to -0.01; p=0.040), serum phosphate levels (β=0.40; 95% CI 0.07 to 0.73; p=0.016) and hypogonadism (β=-0.48, 95% CI -0.91 to -0.04, p=0.031).ConclusionThis study found a prevalence of low BMD in 62.4% of subjects. Factors associated with low BMD were TDT and BMI. Within the low BMD subgroup, hypogonadism, serum phosphate and low serum IGF-1 levels were associated with a lower Z-score.
Project description:UnlabelledNew models describing anthropometrically adjusted normal values of bone mineral density and content in children have been created for the various measurement sites. The inclusion of multiple explanatory variables in the models provides the opportunity to calculate Z-scores that are adjusted with respect to the relevant anthropometric parameters.IntroductionPrevious descriptions of children's bone mineral measurements by age have focused on segmenting diverse populations by race and sex without adjusting for anthropometric variables or have included the effects of a single anthropometric variable.MethodsWe applied multivariate semi-metric smoothing to the various pediatric bone-measurement sites using data from the Bone Mineral Density in Childhood Study to evaluate which of sex, race, age, height, weight, percent body fat, and sexual maturity explain variations in the population's bone mineral values. By balancing high adjusted R(2) values with clinical needs, two models are examined.ResultsAt the spine, whole body, whole body sub head, total hip, hip neck, and forearm sites, models were created using sex, race, age, height, and weight as well as an additional set of models containing these anthropometric variables and percent body fat. For bone mineral density, weight is more important than percent body fat, which is more important than height. For bone mineral content, the order varied by site with body fat being the weakest component. Including more anthropometrics in the model reduces the overlap of the critical groups, identified as those individuals with a Z-score below -2, from the standard sex, race, and age model.ConclusionsIf body fat is not available, the simpler model including height and weight should be used. The inclusion of multiple explanatory variables in the models provides the opportunity to calculate Z-scores that are adjusted with respect to the relevant anthropometric parameters.
Project description:Luspatercept is an activin receptor ligand trap that has been shown to enhance late-stage erythropoiesis in animal models of β-thalassemia. A multicenter, international, phase 2 dose-finding study was initiated in adult patients with β-thalassemia, either non-transfusion-dependent thalassemia (NTDT) or transfusion-dependent thalassemia (TDT). Positive results of the phase 2 study paved the way to a randomized phase 3 clinical trial (BELIEVE) to assess the efficacy and safety of luspatercept. The BELIEVE trial is a randomized, double-blind, placebo-controlled phase 3 trial. Three hundred thirty-six patients aged ≥18 years with TDT (regularly transfused, 6-20 red blood cell units within 24 weeks before randomization) were included in the trial. Patients received luspatercept or placebo subcutaneously every 21 days for ≥48 weeks and best supportive care. Forty-eight of 224 patients (21.4%) in the luspatercept group achieved the primary end points (≥33% reduction in transfusion burden) compared with those in the placebo group (4.5%; P < .001). Moreover, more patients had a ≥33% reduction in transfusion burden during any rolling 12-week interval (70.5% vs 29.5%) or any 24-week interval (41.1% vs 2.7%) with luspatercept than with the placebo. Transfusion independence was achieved by 11% of patients in the luspatercept group. Transient adverse events were more frequent with luspatercept than with placebo, but were manageable. Luspatercept was approved by the US Food and Drug Administration in 2019 and by the European Medicines Agency in 2020. The luspatercept trial is registered on www.clinicaltrials.gov at #NCT01749540 and the BELIEVE trial at #NCT02604433.
Project description:A few studies in animals and a study in humans showed a positive effect of probiotic on bone metabolism and bone mass density. Most of the investigated bacteria were Lactobacillus and Bifidobacterium. The positive results of the probiotics were supported by the high content of dietary calcium and the high amounts of supplemented probiotics. Some of the principal mechanisms include (1) increasing mineral solubility due to production of short chain fatty acids; (2) producing phytase enzyme by bacteria to overcome the effect of mineral depressed by phytate; (3) reducing intestinal inflammation followed by increasing bone mass density; (4) hydrolysing glycoside bond food in the intestines by Lactobacillus and Bifidobacteria. These mechanisms lead to increase bioavailability of the minerals. In conclusion, probiotics showed potential effects on bone metabolism through different mechanisms with outstanding results in the animal model. The results also showed that postmenopausal women who suffered from low bone mass density are potential targets to consume probiotics for increasing mineral bioavailability including calcium and consequently increasing bone mass density.
Project description:ContextRecent studies have shown that β-blocker (BB) users have a decreased risk of fracture and higher bone mineral density (BMD) compared to nonusers, likely due to the suppression of adrenergic signaling in osteoblasts, leading to increased BMD. There is also variability in the effect size of BB use on BMD in humans, which may be due to pharmacogenomic effects.ObjectiveTo investigate potential single-nucleotide variations (SNVs) associated with the effect of BB use on femoral neck BMD, we performed a cross-sectional analysis using clinical data, dual-energy x-ray absorptiometry, and genetic data from the Framingham Heart Study's (FHS) Offspring Cohort. We then sought to validate our top 4 genetic findings using data from the Rotterdam Study, the BPROOF Study, the Malta Osteoporosis Fracture Study (MOFS), and the Hertfordshire Cohort Study.MethodsWe used sex-stratified linear mixed models to determine SNVs that had a significant interaction effect with BB use on femoral neck (FN) BMD across 11 gene regions. We also evaluated the association of our top SNVs from the FHS with microRNA (miRNA) expression in blood and identified potential miRNA-mediated mechanisms by which these SNVs may affect FN BMD.ResultsOne variation (rs11124190 in HDAC4) was validated in females using data from the Rotterdam Study, while another (rs12414657 in ADRB1) was validated in females using data from the MOFS. We performed an exploratory meta-analysis of all 5 studies for these variations, which further validated our findings.ConclusionThis analysis provides a starting point for investigating the pharmacogenomic effects of BB use on BMD measures.