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Pathway-based association analyses identified TRAIL pathway for osteoporotic fractures.

ABSTRACT: INTRODUCTION:Hip OF carries the highest morbidity and mortality. Previous studies revealed that individual genes/loci in the Tumor Necrosis Factor (TNF)-Related Apoptosis-Inducing Ligand (TRAIL) pathway were associated with bone metabolism. This study aims to verify the potential association between hip OF and TRAIL pathway. METHODS:Using genome-wide genotype data from Affymetrix 500 K SNP arrays, we performed novel pathway-based association analyses for hip OF in 700 elderly Chinese Han subjects (350 with hip OF and 350 healthy matched controls). RESULTS:The TRAIL pathway achieved a significant p value (p?=?0.01) for association with hip OF. Among the 38 genes in the TRAIL pathway, seven genes achieved nominally significant association with hip OF (p<0.05); the TNFSF10 (TRAIL) gene obtained the most significant p value (p?=?1.70×10(-4)). SNPs (rs719126, rs6533015, rs9594738, rs1805034, rs11160706) from five genes (CFLAR, NFKB1, TNFSF11, TNFRSF11A, TRAF3) of the pathway had minor alleles that appear to be protective to hip OF. SNPs (rs6445063 and rs4259415) from two genes (TNFSF10 and TNFRSF10B) of the pathway had minor alleles (A) that are associated with an increased risk of hip OF, with the ORs (odds ratios) of 16.51 (95%CI:3.83-71.24) and 1.37 (95%CI:1.08-1.74), respectively. CONCLUSIONS:Our study supports the potential role of the TRAIL pathway in the pathogenesis of hip OF in Chinese Han population. Further functional study of this pathway will be pursued to determine the mechanism by which it confers risk to hip OF.

SUBMITTER: Zhang YP

PROVIDER: S-EPMC3132733 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature

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Pathway-based association analyses identified TRAIL pathway for osteoporotic fractures.

Zhang Yin-Ping YP Liu Yao-Zhong YZ Guo Yan Y Liu Xiao-Gang XG Xu Xiang-Hong XH Guo Yan-Fang YF Chen Yuan Y Zhang Feng F Pan Feng F Zhu Xue-Zhen XZ Deng Hong-Wen HW

PloS one 20110708 7

<h4>Introduction</h4>Hip OF carries the highest morbidity and mortality. Previous studies revealed that individual genes/loci in the Tumor Necrosis Factor (TNF)-Related Apoptosis-Inducing Ligand (TRAIL) pathway were associated with bone metabolism. This study aims to verify the potential association between hip OF and TRAIL pathway.<h4>Methods</h4>Using genome-wide genotype data from Affymetrix 500 K SNP arrays, we performed novel pathway-based association analyses for hip OF in 700 elderly Chin ...[more]

PMID: 21760914

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Project description:ObjectivePrevious epidemiological studies have found an association between serum cholesterol level and bone mineral density. However, epidemiological studies evaluating the association between serum cholesterol level and the incidence of osteoporotic fracture are scant. Therefore, the objective of this study was to investigate whether serum cholesterol levels in Chinese participants aged 55?years or older was associated with an increased risk of osteoporotic fracture.Materials and methodsWe performed a cross-sectional study, including 1,791 participants (62.1% postmenopausal women and 213 fractures). Standardized self-administered questionnaires, physical examination, laboratory tests, and dual-energy X-ray absorptiometry examination were performed. Multivariate-adjusted logistic regression models were used to evaluate associations between serum cholesterol [total cholesterol (TC), triglycerides (TG), high-density lipoprotein (HDL-C), and low-density lipoprotein (LDL-C)] levels and the osteoporotic fracture risk.ResultsAfter adjusting for potential confounding factors, there were no associations between per SD increase in TC and LDL level and an increased risk of osteoporotic fracture in total participants, and in men and women as individual groups. There was a significant association between per SD increase in HDL-C level and an increased risk of osteoporotic fracture in total participants [odds ratios (OR) 1.20, 95% confidence interval (CI) 1.03, 1.40, P?=?0.023] and in women (OR 1.37, 95% CI 1.12, 1.68, P?=?0.003), whereas no association was observed in men (OR 1.01, 95% CI 0.73, 1.40, P?=?0.951). Additionally, we found a significant association between per SD increase in TG level and an increased risk of osteoporotic fracture in total participants (OR 1.20, 95% CI 1.04, 1.38, P?=?0.015). In women, a nonlinear relationship was observed between per SD increase in TG level and an increased risk of osteoporotic fracture. The risk of osteoporotic fracture in women increased with TG level >1.64?mmol/L (OR 1.93, 95% CI 1.24, 3.00, P?=?0.004).ConclusionAmong Chinese older adults, serum HDL-C level is significantly associated with a risk of osteoporotic fractures in women, and serum TG level is significantly associated with a risk of osteoporotic fractures in total participants and in women with TG >1.64?mmol/L.

Project description:BackgroundOsteoporosis is diagnosed by the measurement of bone mineral density, which is a highly heritable and multifactorial trait. We aimed to identify genetic loci that are associated with bone mineral density.MethodsIn this genome-wide association study, we identified the most promising of 314 075 single nucleotide polymorphisms (SNPs) in 2094 women in a UK study. We then tested these SNPs for replication in 6463 people from three other cohorts in western Europe. We also investigated allelic expression in lymphoblast cell lines. We tested the association between the replicated SNPs and osteoporotic fractures with data from two studies.FindingsWe identified genome-wide evidence for an association between bone mineral density and two SNPs (p<5x10(-8)). The SNPs were rs4355801, on chromosome 8, near to the TNFRSF11B (osteoprotegerin) gene, and rs3736228, on chromosome 11 in the LRP5 (lipoprotein-receptor-related protein) gene. A non-synonymous SNP in the LRP5 gene was associated with decreased bone mineral density (rs3736228, p=6.3x10(-12) for lumbar spine and p=1.9x10(-4) for femoral neck) and an increased risk of both osteoporotic fractures (odds ratio [OR] 1.3, 95% CI 1.09-1.52, p=0.002) and osteoporosis (OR 1.3, 1.08-1.63, p=0.008). Three SNPs near the TNFRSF11B gene were associated with decreased bone mineral density (top SNP, rs4355801: p=7.6x10(-10) for lumbar spine and p=3.3x10(-8) for femoral neck) and increased risk of osteoporosis (OR 1.2, 95% CI 1.01-1.42, p=0.038). For carriers of the risk allele at rs4355801, expression of TNFRSF11B in lymphoblast cell lines was halved (p=3.0x10(-6)). 1883 (22%) of 8557 people were at least heterozygous for these risk alleles, and these alleles had a cumulative association with bone mineral density (trend p=2.3x10(-17)). The presence of both risk alleles increased the risk of osteoporotic fractures (OR 1.3, 1.08-1.63, p=0.006) and this effect was independent of bone mineral density.InterpretationTwo gene variants of key biological proteins increase the risk of osteoporosis and osteoporotic fracture. The combined effect of these risk alleles on fractures is similar to that of most well-replicated environmental risk factors, and they are present in more than one in five white people, suggesting a potential role in screening.

Project description:Osteoporotic fractures are a leading cause of disability, costs, and mortality. FRAX is a tool used to assess fracture risk in the general population. Mental disorders and medications to treat them have been reported to adversely affect bone health, but, to date, they have not been systematically studied in relation to osteoporotic fractures.To examine the association of mental disorders and psychotropic medication use with osteoporotic fracture risk in routine clinical practice.In this population-based cohort study, bone mineral density and risk factors were used to calculate FRAX scores using data from the Manitoba Bone Density Program database of all women and men 40 years of age or older in Manitoba, Canada, referred for a baseline dual-energy x-ray absorptiometry scan from January 1, 1996, to March 28, 2013. Population-based health services data were used to identify primary mental disorders during the 3 prior years, psychotropic medication use during the prior year, and incident fractures. Cox proportional hazards regression models estimated the risk for incident fractures based on mental disorders and use of psychotropic medications. Data analysis was conducted from November 25, 2013, to October 15, 2016.Incident nontraumatic major osteoporotic fractures (MOFs) and hip fractures.Of the 68?730 individuals (62?275 women and 6455 men; mean age, 64.2 [11.2] years) in the study, during 485?322 person-years (median, 6.7 years) of observation, 5750 (8.4%) sustained an incident MOF, 1579 (2.3%) sustained an incident hip fracture, and 8998 (13.1%) died. In analyses adjusted for FRAX score, depression was associated with MOF (adjusted hazard ratio [aHR], 1.39; 95% CI, 1.27-1.51; P?<?.05) and hip fracture (aHR, 1.43; 95% CI, 1.22-1.69; P?<?.05) before adjustment for medication use, but these associations were not significant after adjustment for medication use. In contrast, the use of selective serotonin reuptake inhibitors (aHR for MOF, 1.43; 95% CI, 1.27-1.60; P?<?.05; aHR for hip fracture, 1.48; 95% CI, 1.18-1.85; P?<?.05), antipsychotics (aHR for MOF, 1.43; 95% CI, 1.15-1.77; P?<?.05; aHR for hip fracture, 2.14; 95% CI, 1.52-3.02; P?<?.05), and benzodiazepines (aHR for MOF, 1.15; 95% CI, 1.04-1.26; P?<?.05; aHR for hip fracture, 1.24; 95% CI, 1.05-1.47; P?<?.05) were each independently associated with significantly increased risk for both MOF and hip fracture. FRAX significantly underestimated the 10-year risk of MOF by 29% and of hip fracture by 51% for those with depression. It also underestimated the 10-year risk of MOF by 36% for use of selective serotonin reuptake inhibitors, by 63% for use of mood stabilizers, by 60% for use of antipsychotics, and by 13% for use of benzodiazepines. FRAX underestimated the 10-year risk of hip fracture by 57% for use of selective serotonin reuptake inhibitors, by 98% for use of mood stabilizers, by 171% for use of antipsychotics, and by 31% for use of benzodiazepines. FRAX correctly estimated fracture risk in people without mental disorders and those not taking psychotropic medications.Mental disorders and medication use were associated with an increased risk for fracture, but in simultaneous analyses, only medication use was independently associated with fracture. Depression and psychotropic medication use are potential risk indicators that are independent of FRAX estimates.

Project description:Using data from the Study of Osteoporotic Fractures (SOF), several clinical characteristics predictive of near-term (1-year) risk of hip and non-vertebral fracture among elderly osteoporotic women were identified, and a subset of those for hip fracture was incorporated into a risk assessment tool. Additional research is needed to validate study findings.IntroductionWhile several risk factors are known to contribute to long-term fracture risk in women with osteoporosis, factors predicting fracture risk over a shorter time horizon, such as over a 1-year period, are less well-established.MethodsWe utilized a repeated-observations design and data from the Study of Osteoporotic Fractures to identify factors contributing to near-term risk of hip fracture and any non-vertebral fracture, respectively, among osteoporotic women aged ?65 years. Potential predictors of hip fracture and any non-vertebral fracture over the 1-year period subsequent to each qualifying SOF exam were examined using multivariable frailty models. Because the discriminative ability of the hip fracture model was acceptable, a corresponding risk-prediction tool was also developed.ResultsStudy population included 2499 women with osteoporosis, who contributed 6811 observations. Incidence of fracture in the 1-year period subsequent to each exam was 2.2% for hip fracture and 6.6% for any non-vertebral fracture. Independent predictors of hip fracture included low total hip T-score, prior fracture, and risk factors for falls (multivariable model c-statistic = 0.71 (95% CI 0.67-0.76)). Independent predictors of any non-vertebral fracture included age, total hip T-score, prior falls, prior fracture, walking speed, Parkinson's disease or stroke, and smoking (multivariable model c-statistic = 0.62 (0.59-0.65)).ConclusionsSeveral clinical characteristics predictive of hip and non-vertebral fracture within a 1-year follow-up period among elderly women with osteoporosis were identified, and a subset of those for hip fracture was incorporated into a risk assessment tool. Assessment of these risk factors may help guide osteoporosis treatment choices by identifying patients in whom there is urgency to treat. Additional research is needed to validate the findings of this study and the accuracy of the risk assessment tool.

Project description:Osteoporosis is the consequence of altered bone metabolism resulting in the systemic reduction of bone strength and increased risk of fragility fractures. MicroRNAs (miRNAs) regulate gene expression on a post-transcriptional level are known to take part in the control of bone formation and bone resorption. Recently, targeted secretion of miRNAs from cells originating from various tissues has been described, which allows for their minimal-invasive detection in serum/plasma and use as biomarkers for presence and progression of pathological conditions. One pilot study has reported circulating miRNAs in serum and tissue of fracture patients. However, further studies are required to explore whether a dysbalance in bone homeostasis of fracture patients can reliably be reflected by specific circulating miRNAs, and whether these miRNAs might serve as drugable targets. Here, we report results from a comprehensive multiplex study of 175 miRNAs in serum samples obtained from 7 patients with osteoporotic fractures at the femoral neck, and 7 age-matched controls. Following elaborate quality control statistical analysis of this exploratory dataset identified 9 microRNAs with altered serum levels in response to fracture (adjusted p-value < 0.1). Of these, hsa-miR-10a/b gave excellent discrimination of both groups (AUC = 1.0), and clustering of samples based on the top10 miRNAs confirmed the high discriminatory power of circulating microRNAs for osteoporotic fractures. In the next step 3 miRNAs with unknown roles in osteogenic differentiation and 4 miRNA from a previous study were tested for their effects on osteogenic differentiation. Of these, 3 miRNAs showed robust effects on osteogenic differentiation. Overall, these data provide important insights into changes in serum miRNA in post-traumatic patients. Future studies will show, whether this knowledge can be used to improve current diagnostic methodologies to predict fracture risk and design novel treatment strategies for osteoporosis patients. Two groups with n=7 per group; one groups represents cases with osteoporotic fractures, the control group is age-matched without fractures

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Pathway-based association analyses identified TRAIL pathway for osteoporotic fractures.

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Pathway-based association analyses identified TRAIL pathway for osteoporotic fractures.

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