Osteoporosis is mainly a major menopause-related public health problem in elderly women characterized by low bone mineral density (BMD). Peripheral blood monocytes (PBM) may act as precursors of bone resorption cells, osteoclasts, produce cytokins important for osteoclast differentiation, activation, and apoptosis, and represent major systemic target cells for sex hormones in bone metabolism. They play major roles in bone remodeling, turnover and thus menopause-related BMD change. Our hypothesis is that changes in the protein expression profiles in PBM may underlie mechanisms of BMD variation and be associated with menopause. Our major goals here are to identify proteins differentially expressed in PBM in females: 1) with high vs low BMD; 2) before and after menopause. This work will help to identify those proteins that are associated with osteoporosis and menopause in PBM. This novel line of work, together with our ongoing work in molecular genetic epidemiology and DMA microarray studies, will contribute significantly to identifying genes and their functional products as well as molecular markers for osteoporosis and those associated with menopause status in women. We will recruit 60 otherwise healthy Caucasian female subjects. In the age stratum 50-55, 30 with low and 30 high BMD (bottom or top 20% of age-matched population, i.e., Z-scores < -0.84 or > +0.84 at spine subjects will be recruited. Both groups have 15 pre- and 15 post- menopausal women. PBM from each subject will be isolated and sufficient total protein will be extracted and analyzed with both 2-dimensiona polyacrylamide gel electrophoresis (2-D PAGE) followed by mass spectrometry (MS) proteomics and 3-D nano liquid chromatography tandem mass spectrometry (3-D nano LC/MS/MS) approaches to test our hypothesis in order to identify proteins that are differentially expressed with regard to BMD variation and menopause. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21AG027110-02
Application #
7282653
Study Section
Special Emphasis Panel (ZRG1-HOP-S (02))
Program Officer
Williams, John
Project Start
2006-09-01
Project End
2009-08-31
Budget Start
2007-09-01
Budget End
2009-08-31
Support Year
2
Fiscal Year
2007
Total Cost
$152,333
Indirect Cost
Name
University of Missouri Kansas City
Department
Orthopedics
Type
Schools of Medicine
DUNS #
010989619
City
Kansas City
State
MO
Country
United States
Zip Code
64110
Zhu, W; Shen, H; Zhang, J-G et al. (2017) Cytosolic proteome profiling of monocytes for male osteoporosis. Osteoporos Int 28:1035-1046
Zeng, Y; Zhang, L; Zhu, W et al. (2017) Network based subcellular proteomics in monocyte membrane revealed novel candidate genes involved in osteoporosis. Osteoporos Int 28:3033-3042
Zeng, Yong; Zhang, Lan; Zhu, Wei et al. (2016) Quantitative proteomics and integrative network analysis identified novel genes and pathways related to osteoporosis. J Proteomics 142:45-52
Yang, Tao; Deng, Hong-Wen; Niu, Tianhua (2014) Critical assessment of coalescent simulators in modeling recombination hotspots in genomic sequences. BMC Bioinformatics 15:3
Yang, Tie-Lin; Guo, Yan; Shen, Hui et al. (2013) Copy number variation on chromosome 10q26.3 for obesity identified by a genome-wide study. J Clin Endocrinol Metab 98:E191-5
Yang, Tie-Lin; Guo, Yan; Li, Jian et al. (2013) Gene-gene interaction between RBMS3 and ZNF516 influences bone mineral density. J Bone Miner Res 28:828-37
Yang, T-L; Guo, Y; Li, S M et al. (2013) Ethnic differentiation of copy number variation on chromosome 16p12.3 for association with obesity phenotypes in European and Chinese populations. Int J Obes (Lond) 37:188-90
Liu, Yong-Jun; Zhang, Lei; Pei, Yufang et al. (2013) On genome-wide association studies and their meta-analyses: lessons learned from osteoporosis studies. J Clin Endocrinol Metab 98:E1278-82
Zhang, Yin-Ping; Deng, Fei-Yan; Yang, Tie-Lin et al. (2012) Genome-wide association study identified CNP12587 region underlying height variation in Chinese females. PLoS One 7:e44292
Chen, Xiang-ding; Xiong, Dong-hai; Yang, Tie-lin et al. (2012) ANKRD7 and CYTL1 are novel risk genes for alcohol drinking behavior. Chin Med J (Engl) 125:1127-34

Showing the most recent 10 out of 92 publications