Lipidomics analysis of bone marrow in a mouse model of postmenopausal osteoporosis

被引:0
作者
Zhong, Ziqing [1 ]
Chen, Yongling [1 ]
Ruan, Xuelian [1 ]
Xie, Huilin [2 ]
Wang, Binbin [3 ]
Tan, Shaolin [4 ]
Qin, Xue [1 ]
机构
[1] Guangxi Med Univ, Affiliated Hosp 1, Dept Clin Lab, Nanning 530021, Peoples R China
[2] Sun Yat Sen Univ, Affiliated Hosp 1, Dept Orthopaed Surg, Guangzhou 510030, Peoples R China
[3] Guangxi Med Univ, Affiliated Hosp 2, Dept Anesthesiol, Nanning 530007, Peoples R China
[4] Guangxi Med Univ, Affiliated Hosp 2, Dept Orthopaed, Nanning 530007, Peoples R China
关键词
Postmenopausal osteoporosis; Bone marrow; Lipidomics; SERUM; SYSTEM;
D O I
10.1016/j.jpba.2024.116212
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Postmenopausal osteoporosis (PMOP) is a major public health problem worldwide, afflicting many postmenopausal women. Although many studies have focused on the biological role of individual lipids in osteoporosis, no studies have systematically elucidated the lipid profile of osteoporosis. In this study, liquid chromatography-tandem mass spectrometry (LC-MS/MS) technology based on multiple reaction monitoring (MRM) method was used to compare the levels of lipid molecules in bone marrow cells of osteoporotic mice (OVX) group and sham-operation (Sham) group. Principal component analysis (PCA) was used for multivariate statistics. Differential lipids were obtained by bar graph, heatmap and volcano map. A total of 400 lipid molecules were identified. A total of 199 lipid molecules were identified to be associated with PMOP, including 6 phospholipids and 3 sphingolipids. These differential lipid molecules provide a systematic lipid profile for osteoporosis, which helps to discover new candidate osteoporosis biomarkers, and their changes at the molecular level can be used as new targets for diagnosis or prevention.
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页数:10
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