Scutellaria baicalensis Georgi leaf and tea extracts prolong lifespan and alter the metabolomic aging profile in a Drosophila melanogaster aging model
10.16438/j.0513-4870.2019-0884
- VernacularTitle:基于1H NMR代谢组学的黄芩茶与黄芩叶水提物延长果蝇寿命研究
- Author:
Xue FENG
1
;
Yu-zhi ZHOU
1
;
Jian-xin CHAI
2
;
Qiang CHEN
2
;
Li GAO
1
;
Guan-hua DU
1
,
3
;
Xue-mei QIN
1
Author Information
1. Modern Research Center of Traditional Chinese Medicine, Shanxi University, Taiyuan 030006, China
2. Shanxi Zhendong Pharmaceutical Co., Ltd., Changzhi 047100, China
3. Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China
- Publication Type:Research Article
- Keywords:
italic>Scutellaria baicalensis Georgi leaf water extract;
italic>Scutellaria baicalensis Georgi tea water extract;
italic>Drosophila;
lifespan;
aging;
metabolomics
- From:
Acta Pharmaceutica Sinica
2020;55(6):1214-1221
- CountryChina
- Language:Chinese
-
Abstract:
The paper aims to study and compare the effects of Scutellaria baicalensis leaves (SLE) and Scutellaria baicalensis tea (STE) water extracts on the lifespan of Drosophila melanogaster, and explore their anti-aging mechanism through metabolomics. Lifespan, food intake and fertility were measured after administering different doses of SLE and STE to a Drosophila natural aging model, and the metabolic profile of Drosophila was analyzed by metabolomics and multivariate statistical methods. The results showed that SLE and STE (1, 3 g·L-1) could significantly prolong the average lifespan, median life and maximum lifespan of male Drosophila, improve the fertility of Drosophila, and had no effect on the food intake. Through metabolomics technology, 14 differential metabolites related to aging were found, involving a total of five metabolic pathways. All differential metabolites were reversed after STE intervention, while 13 differential metabolites were reversed after SLE intervention. The results suggest that SLE and STE can delay aging of Drosophila, and the anti-aging mechanism is related to energy metabolism.
