Dataset Information

Identification of a role for the ARHGEF3 gene in postmenopausal osteoporosis.

ABSTRACT: Osteoporosis is a common and debilitating bone disease characterized by low bone mineral density (BMD), a highly heritable and polygenic trait. Genome-wide linkage studies have identified 3p14-p21 as a quantitative trait locus for BMD. The ARHGEF3 gene is situated within this region and was identified as a strong positional candidate. The aim of this study was to evaluate the role of variation in ARHGEF3 on bone density in women. Sequence variation within ARHGEF3 was analyzed with 17 single-nucleotide polymorphisms (SNPs) in a discovery cohort of 769 female sibs. Significant associations were found with family-based association tests between five SNPs and various measures of age-adjusted BMD (p = 0.0007-0.041) with rs7646054 showing maximal association. Analysis of the data with QPDTPHASE suggested that the more common G allele at rs7646054 is associated with decreased age-adjusted BMD. Significant associations were also demonstrated between 3-SNP haplotypes and age-adjusted spine and femoral-neck BMD (p = 0.002 and 0.003, respectively). rs7646054 was then genotyped in a replication cohort, and significant associations with hip and spine BMD were confirmed (p = 0.003-0.038), as well as an association with fracture rate (p = 0.02). Again, the G allele was associated with a decrease in age-adjusted BMD at each site studied. In conclusion, genetic variation in ARHGEF3 plays a role in the determination of bone density in Caucasian women. This data implicates the RhoGTPase-RhoGEF pathway in osteoporosis.

SUBMITTER: Mullin BH

PROVIDER: S-EPMC2427258 | biostudies-literature | 2008 Jun

REPOSITORIES: biostudies-literature

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Identification of a role for the ARHGEF3 gene in postmenopausal osteoporosis.

Mullin Ben H BH Prince Richard L RL Dick Ian M IM Hart Deborah J DJ Spector Tim D TD Dudbridge Frank F Wilson Scott G SG

American journal of human genetics 20080522 6

Osteoporosis is a common and debilitating bone disease characterized by low bone mineral density (BMD), a highly heritable and polygenic trait. Genome-wide linkage studies have identified 3p14-p21 as a quantitative trait locus for BMD. The ARHGEF3 gene is situated within this region and was identified as a strong positional candidate. The aim of this study was to evaluate the role of variation in ARHGEF3 on bone density in women. Sequence variation within ARHGEF3 was analyzed with 17 single-nucl ...[more]

PMID: 18499081

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Project description:Postmenopausal osteoporosis (PMOP) is a major public health concern worldwide. The present study aimed to provide evidence to assist in the development of specific novel biomarkers for PMOP. Differentially expressed genes (DEGs) were identified between PMOP and normal controls by integrated microarray analyses of the Gene Expression Omnibus (GEO) database, and the optimal diagnostic gene biomarkers for PMOP were identified with LASSO and Boruta algorithms. Classification models, including support vector machine (SVM), decision tree and random forests models, were established to test the diagnostic value of identified gene biomarkers for PMOP. Functional annotations and protein‑protein interaction (PPI) network constructions were also conducted. Integrated microarray analyses (GSE56815, GSE13850 and GSE7429) of the GEO database were employed, and 1,320 DEGs were identified between PMOP and normal controls. An 11‑gene combination was also identified as an optimal biomarker for PMOP by feature selection and classification methods using SVM, decision tree and random forest models. This combination was comprised of the following genes: Dehydrogenase E1 and transketolase domain containing 1 (DHTKD1), osteoclast stimulating factor 1 (OSTF1), G protein‑coupled receptor 116 (GPR116), BCL2 interacting killer, adrenoceptor β1 (ADRB1), neogenin 1 (NEO1), RB binding protein 4 (RBBP4), GPR87, cylicin 2, EF‑hand calcium binding domain 1 and DEAH‑box helicase 35. RBBP4 (degree=12) was revealed to be the hub gene of this PMOP‑specific PPI network. Among these 11 genes, three genes (OSTF1, ADRB1 and NEO1) were speculated to serve roles in PMOP by regulating the balance between bone formation and bone resorption, while two genes (GPR87 and GPR116) may be involved in PMOP by regulating the nuclear factor‑κB signaling pathway. Furthermore, DHTKD1 and RBBP4 may be involved in PMOP by regulating mitochondrial dysfunction and interacting with ESR1, respectively. In conclusion, the findings of the current study provided an insight for exploring the mechanism and developing novel biomarkers for PMOP. Further studies are required to test the diagnostic value for PMOP prior to use in a clinical setting.

Project description:ObjectiveThe literature suggests that not all postmenopausal women suffer from osteoporosis, and the occurrence of postmenopausal osteoporosis is closely related to the genetic susceptibility of genes in the population and the cellular pathways of related genes. To systematically understand the functions of SCIMP gene for osteoporosis, both in vitro and in vivo experiments were analyzed in depth in this integrated study.MethodsThe significantly differentially expressed genes of postmenopausal osteoporosis (PMOP) patients from GEO database were selected. Meanwhile, the primary target gene was also confirmed in clinically recruited individuals using ELISA method; 50 postmenopausal osteoporosis patients with a T-score of -2.5 were randomly enrolled; postmenopausal women with a T-score > -2.5 were included in the non-osteoporotic group (including osteopenia and normal bone mineral density). The associated processes and signaling pathways were deeply investigated with GO and KEGG enrichment analysis. The downstream signaling factors including Erk-1/2, Akt, and IkB-related signaling pathways for the potential gene were evaluated using MG-63 cell line; the MTT, CCK-8, and flow cytometry assays were performed to exam MG-63 cell viability, proliferation, as well as apoptosis, respectively, under different treatments.ResultsBased on the differentially expressed gene analysis for GEO database, PMOP patients displayed 845 differentially expressed genes, including 709 down-regulated and 136 up-regulated ones. Ten genes including SCIMP were significantly differentially expressed (at least three-fold difference). SCIMP was the most markedly decreased in PMOP patients' specimens. Using clinical recruited individuals, the concentration of SCIMP was 96.6 ± 20.8 ng/μL in the PMOP group compared with 168.8 ± 23.5 ng/μL in the control group (p < 0.05). At the same time, the osteoclast differentiation signaling pathway was significantly up-regulated while hedgehogs as well as other signaling pathways were down-regulated based on the KEGG analysis. The phosphorylation level of Akt was markedly blocked in si-SCIMP treatment. Up-regulation of SCIMP increased cell proliferation, inhibited cell apoptosis, and enhanced cell viability in MG-63 cells, which was markedly rescued by AKT phosphorylation inhibitor. Finally, in vivo experiments also confirmed that the upregulation of SCIMP enhanced the structural parameters of rat trabecular bone and the osteogenic activity of bone tissue.ConclusionSCIMP plays a critical role in the pathogenesis of postmenopausal osteoporosis in women. SCIMP influences osteoclasts function through an akt-dependent molecular pathway, and subsequently influences the equilibrium process of bone metabolism. This provides a new insight into the pathogenesis of postmenopausal osteoporosis as well as the clinical treatment of osteoporosis.

Dataset Information

Identification of a role for the ARHGEF3 gene in postmenopausal osteoporosis.

Publications

Identification of a role for the ARHGEF3 gene in postmenopausal osteoporosis.

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