Literature DB >> 19223260

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.

Shu-Feng Lei1, Shan Wu, Li-Ming Li, Fei-Yan Deng, Su-Mei Xiao, Cheng Jiang, Yuan Chen, Hui Jiang, Fang Yang, Li-Jun Tan, Xiao Sun, Xue-Zhen Zhu, Man-Yuan Liu, Yao-Zhong Liu, Xiang-Ding Chen, Hong-Wen Deng.   

Abstract

Peak bone mass (PBM) is an important determinant of osteoporosis. Circulating monocytes serve as early progenitors of osteoclasts and produce important molecules for bone metabolism. To search for genes functionally important for PBM variation, we performed a whole genome gene differential expression study of circulating monocytes in human premenopausal subjects with extremely low (N=12) vs. high (N=14) PBM. We used Affymetrix HG-U133 plus2.0 GeneChip arrays. We identified 70 differential expression probe sets (p<0.01) corresponding to 49 unique genes. After false discovery rate adjustment, three genes [STAT1, signal transducer and activator of transcription 1; GBP1, guanylate binding protein 1; CXCL10, Chemokine (C-X-C motif) ligand 10] expressed significantly differentially (p<0.05). The RT-PCR results independently confirmed the significantly differential expression of GBP1 gene, and the differential expression trend of STAT1. Functional analyses suggested that the three genes are associated with the osteoclastogenic processes of proliferation, migration, differentiation, migration, chemotaxis, adhesion. Therefore, we may tentatively hypothesize that the three genes may potentially contribute to differential osteoclastogenesis, which may in the end lead to differential PBM. Our results indicate that the GBP1, STAT1 and CXCL10 may be novel risk genes for the differentiation of PBM at the monocyte stage.

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Year:  2008        PMID: 19223260     DOI: 10.1016/j.bone.2008.05.016

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  31 in total

Review 1.  Circulating monocytes: an appropriate model for bone-related study.

Authors:  Y Zhou; H-W Deng; H Shen
Journal:  Osteoporos Int       Date:  2015-07-21       Impact factor: 4.507

Review 2.  Molecular genetic studies of gene identification for osteoporosis: the 2009 update.

Authors:  Xiang-Hong Xu; Shan-Shan Dong; Yan Guo; Tie-Lin Yang; Shu-Feng Lei; Christopher J Papasian; Ming Zhao; Hong-Wen Deng
Journal:  Endocr Rev       Date:  2010-03-31       Impact factor: 19.871

3.  Impact of female cigarette smoking on circulating B cells in vivo: the suppressed ICOSLG, TCF3, and VCAM1 gene functional network may inhibit normal cell function.

Authors:  Feng Pan; Tie-Lin Yang; Xiang-Ding Chen; Yuan Chen; Ge Gao; Yao-Zhong Liu; Yu-Fang Pei; Bao-Yong Sha; Yan Jiang; Chao Xu; Robert R Recker; Hong-Wen Deng
Journal:  Immunogenetics       Date:  2010-03-09       Impact factor: 2.846

4.  Integrative analysis of GWASs, human protein interaction, and gene expression identified gene modules associated with BMDs.

Authors:  Hao He; Lei Zhang; Jian Li; Yu-Ping Wang; Ji-Gang Zhang; Jie Shen; Yan-Fang Guo; Hong-Wen Deng
Journal:  J Clin Endocrinol Metab       Date:  2014-08-13       Impact factor: 5.958

5.  Effects of intermittent parathyroid hormone treatment on osteoprogenitor cells in postmenopausal women.

Authors:  Matthew T Drake; Bhuma Srinivasan; Ulrike I Mödder; Alvin C Ng; Anita H Undale; Matthew M Roforth; James M Peterson; Louise K McCready; B Lawrence Riggs; Sundeep Khosla
Journal:  Bone       Date:  2011-05-11       Impact factor: 4.398

6.  Genome-wide identification of m6A-associated SNPs as potential functional variants for bone mineral density.

Authors:  X B Mo; Y H Zhang; S F Lei
Journal:  Osteoporos Int       Date:  2018-07-07       Impact factor: 4.507

7.  Network based subcellular proteomics in monocyte membrane revealed novel candidate genes involved in osteoporosis.

Authors:  Y Zeng; L Zhang; W Zhu; H He; H Sheng; Q Tian; F-Y Deng; L-S Zhang; H-G Hu; H-W Deng
Journal:  Osteoporos Int       Date:  2017-07-24       Impact factor: 4.507

8.  An integrative study ascertained SOD2 as a susceptibility gene for osteoporosis in Chinese.

Authors:  Fei-Yan Deng; Shu-Feng Lei; Xiang-Ding Chen; Li-Jun Tan; Xue-Zhen Zhu; Hong-Wen Deng
Journal:  J Bone Miner Res       Date:  2011-11       Impact factor: 6.741

9.  Future of osteoporosis genetics: enhancing genome-wide association studies.

Authors:  Charles R Farber; Aldons J Lusis
Journal:  J Bone Miner Res       Date:  2009-12       Impact factor: 6.741

10.  Characterization of the DNA methylome and its interindividual variation in human peripheral blood monocytes.

Authors:  Hui Shen; Chuan Qiu; Jian Li; Qing Tian; Hong-Wen Deng
Journal:  Epigenomics       Date:  2013-06       Impact factor: 4.778

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