Journal article
Association between the metabolome and bone mineral density in pre- and post-menopausal Chinese women using GC-MS
Molecular bioSystems, Vol.12(7), pp.2265-2275
06/21/2016
DOI: 10.1039/c6mb00181e
PMID: 27168060
Abstract
The present study describes for the first time, a metabolic profile reflecting the osteoporosis progression in 364 pre- and postmenopausal Chinese women using GC-MS. In order to accurately evaluate the dynamic changes of metabolites along with estrogen deficiency and osteoporosis progression, we divided these subjects into the following four groups: premenopausal women with normal bone mass density (BMD, group I), postmenopausal women with normal BMD (group II), postmenopausal women with osteopenia (group III) and postmenopausal women with osteoporosis (group IV), according to their menopause or low BMD status. Principal component analysis (PCA) and Partial least squares-discriminant analysis (PLS-DA) were used to evaluate the associations of metabolic changes with low BMD or estrogen deficiency. Twelve metabolites identified by the PLS-DA model were found to be able to differentiate low BMD groups from normal BMD groups. Of the 12 metabolites, five free fatty acids (LA, oleic acid, AA and 11,14-eicosadienoic acid) have the most potential to be used as osteoporosis biomarkers due to their better correlations with BMD, and high sensitivity and specificity in distinguishing the low BMD groups from the normal BMD groups calculated by the receiver operating characteristic curve (ROC). The lipid profile may be useful for osteoporosis prediction and diagnosis.
Details
- Title: Subtitle
- Association between the metabolome and bone mineral density in pre- and post-menopausal Chinese women using GC-MS
- Creators
- Huanhuan Qi - School of Life Science & Pharmaceutical Engineering, Nanjing Tech University, Nanjing 210009, People's Republic of ChinaJun Bao - Jiangsu Province of Ficial Hospital, Nanjing 210024, People's Republic of ChinaGuohua An - University of Iowa, Iowa City, Iowa, USAGang Ouyang - Jiangsu Province of Ficial Hospital, Nanjing 210024, People's Republic of ChinaPengling Zhang - Jiangsu Province of Ficial Hospital, Nanjing 210024, People's Republic of ChinaChao Wang - School of Pharmaceutical Sciences, Nanjing Tech University, Nanjing 210009, People's Republic of China. nancyzhang03@hotmail.com mabo19821221@163.comHanjie Ying - School of Life Science & Pharmaceutical Engineering, Nanjing Tech University, Nanjing 210009, People's Republic of ChinaPingkai Ouyang - School of Life Science & Pharmaceutical Engineering, Nanjing Tech University, Nanjing 210009, People's Republic of ChinaBo Ma - School of Pharmaceutical Sciences, Nanjing Tech University, Nanjing 210009, People's Republic of China. nancyzhang03@hotmail.com mabo19821221@163.comQi Zhang - School of Pharmaceutical Sciences, Nanjing Tech University, Nanjing 210009, People's Republic of China. nancyzhang03@hotmail.com mabo19821221@163.com
- Resource Type
- Journal article
- Publication Details
- Molecular bioSystems, Vol.12(7), pp.2265-2275
- Publisher
- England
- DOI
- 10.1039/c6mb00181e
- PMID
- 27168060
- ISSN
- 1742-206X
- eISSN
- 1742-2051
- Language
- English
- Date published
- 06/21/2016
- Academic Unit
- Pharmaceutical Sciences and Experimental Therapeutics
- Record Identifier
- 9984065694202771
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