LC-MS based metabolomics studies on natural menopause (aging) in a rat model
10.13220/j.cnki.jipr.2016.04.023
- Author:
Shu-Jie SHEN
1
Author Information
1. Institute of Radiation Medicine, Academy of Military Medical Sciences
- Publication Type:Journal Article
- Keywords:
Aging;
HPLC-MS/MS;
Menopausal syndrome;
Metabolomics
- From:
Journal of International Pharmaceutical Research
2016;43(4):711-717
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To further understand the natural metabolic characteristics of menopausal syndrome, and explore the role of biological pathways. Methods: Our experiment adopted the HPLC-MS/MS technology of metabolomics researching methods, aiming at the comprehensive change characteristics in metabolism group level of menopausal rat and searching for age-related biomarkers. The urine of 6 and 18 months rat was taken for HPLC-MS/MS metabolomics analysis. Besides, XCMS online analysis was used for positive and negative ion detection spectrum and the principal component analysis was used to identify biomarkers. Finally, MetPA was used to implement a Google-map style interactive visualization system, which has analyzed the metabolic pathway. Pathway views were generated dynamically based on interactions with the visualized system. Results: The TCA cycle, arginine and proline metabolism and aldehyde acid metabolism are related to aging rat metabolite pathways. Conclusion: Age-related metabolic pathways are mainly related to the respiratory chain reaction and the urea cycle, which are influenced by liver mitochondrial function.
