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Lipidomics analysis of bone marrow in a mouse model of postmenopausal osteoporosis.
- Source :
-
Journal of pharmaceutical and biomedical analysis [J Pharm Biomed Anal] 2024 Aug 15; Vol. 246, pp. 116212. Date of Electronic Publication: 2024 May 10. - Publication Year :
- 2024
-
Abstract
- 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.<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2024 Elsevier B.V. All rights reserved.)
- Subjects :
- Animals
Female
Mice
Bone Marrow metabolism
Chromatography, Liquid methods
Principal Component Analysis
Biomarkers analysis
Mice, Inbred C57BL
Humans
Ovariectomy
Bone Marrow Cells metabolism
Lipidomics methods
Osteoporosis, Postmenopausal metabolism
Disease Models, Animal
Tandem Mass Spectrometry methods
Lipids analysis
Subjects
Details
- Language :
- English
- ISSN :
- 1873-264X
- Volume :
- 246
- Database :
- MEDLINE
- Journal :
- Journal of pharmaceutical and biomedical analysis
- Publication Type :
- Academic Journal
- Accession number :
- 38735209
- Full Text :
- https://doi.org/10.1016/j.jpba.2024.116212