Lipidomics Analysis of Bone Marrow in a Mouse Model of Postmenopausal Osteoporosis

骨质疏松症 脂类学 化学 老年性骨质疏松症 骨髓 绝经后骨质疏松症 内科学 脂质代谢 内分泌学 生物化学 医学 骨矿物
作者
Ziqing Zhong,Yongling Chen,Xuelian Ruan,Huilin Xie,Binbin Wang,Shaolin Tan,Xue Qin
出处
期刊:Journal of Pharmaceutical and Biomedical Analysis [Elsevier]
卷期号:246: 116212-116212
标识
DOI:10.1016/j.jpba.2024.116212
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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