2009
DOI: 10.1016/j.bone.2008.05.016
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An in vivo genome wide gene expression study of circulating monocytes suggested GBP1, STAT1 and CXCL10 as novel risk genes for the differentiation of peak bone mass

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Cited by 42 publications
(60 citation statements)
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“…By applying the weighted gene coexpression network analysis (WGCNA) on the gene expression data of PBMs from high versus low BMD individuals [110], Farber [108] reconstructed the PBMs transcriptional network and identified a coexpression module (referred to as module 9) whose overall expression level was significantly higher in the low BMD group. Using two BMD GWAS datasets, Farber [108] demonstrated that the highly connected hub genes of module 9 were more likely, relative to less connected genes, to be genetically associated with BMD, providing strong independent validation of the biological importance of module 9 and specifically its hub genes in the regulation of BMD.…”
Section: Using Pbms As a Working Cell Model To Study For Bone Diseasesmentioning
confidence: 99%
“…By applying the weighted gene coexpression network analysis (WGCNA) on the gene expression data of PBMs from high versus low BMD individuals [110], Farber [108] reconstructed the PBMs transcriptional network and identified a coexpression module (referred to as module 9) whose overall expression level was significantly higher in the low BMD group. Using two BMD GWAS datasets, Farber [108] demonstrated that the highly connected hub genes of module 9 were more likely, relative to less connected genes, to be genetically associated with BMD, providing strong independent validation of the biological importance of module 9 and specifically its hub genes in the regulation of BMD.…”
Section: Using Pbms As a Working Cell Model To Study For Bone Diseasesmentioning
confidence: 99%
“…Osteoblasts produce and secrete osteoprotegerin, a decoy receptor that binds to RANKL and blocks RANKL/RANK interactions and hence suppresses the ability of RANK to increase bone resorption (9). Previous studies have shown that blood monocytes also produce a wide variety of inflammatory factors and transcription factors involved in bone metabolism, including interleukin-1 (10), tumor necrosis factor-α (TNF-α) (11), interleukin-6 (12), platelet-derived growth factor (13), transforming growth factor-β (14), resolvinE1 (15), runt-related transcription factor 2 (Runx2; 16), guanylate binding protein 1 (GBP1), signal transducer and activator of transcription 1 (STAT1), CXC chemokine ligand 10 (CXCL10) (17), chemokine receptor 3, histidine decarboxylase and glucocorticoid receptor genes (18).…”
Section: Introductionmentioning
confidence: 99%
“…RANKL promotes IP-10 expression in preosteoclasts, and IP-10 mediates RANKL expression in CD4 + T cells in the synovium. It was proposed that this positive cross-talk between IP-10 and RANKL, or other cytokines, such as TNF-a, is responsible for inflammation and bone erosion, whereby CD4 + T cells and macrophages are recruited into the synovium (39). In human circulating monocytes serving as early progenitors of osteoclasts, STAT1 and IP-10 were identified as candidate genes whose expression is responsible for the increase in the differentiation of peak bone mass at the monocyte stage (39).…”
Section: Discussionmentioning
confidence: 99%
“…It was proposed that this positive cross-talk between IP-10 and RANKL, or other cytokines, such as TNF-a, is responsible for inflammation and bone erosion, whereby CD4 + T cells and macrophages are recruited into the synovium (39). In human circulating monocytes serving as early progenitors of osteoclasts, STAT1 and IP-10 were identified as candidate genes whose expression is responsible for the increase in the differentiation of peak bone mass at the monocyte stage (39). In addition to increased expression during RANKL-mediated osteoclastogenesis, serum levels of IP-10 were abnormally high (over 7-fold) in Usp18-knockout mice compared with normal littermates.…”
Section: Discussionmentioning
confidence: 99%