《生命科学》 2024, 36(11): 1375-1385

基于脂质组学分析运动对代谢性疾病中脂质代谢的影响

秦　朗¹ , 傅泽铤¹ , 张　燕¹ , 孙　丹² , 丁海丽^1,*

¹成都体育学院运动医学与健康学院， 成都 610041 ²北京体育大学，北京 100084

摘　要：

代谢紊乱会显著增加代谢性疾病如2 型糖尿病、高血压、脂肪肝、肌少症等的风险。随着生活质量的提高，代谢性疾病发病率日趋升高，严重危害人类健康。运动能够改善全身代谢，是代谢性疾病治疗的主要手段，然而运动对全身的系统调节是复杂的，脂质组学(lipidomics) 技术的兴起为运动相关的复杂生物学网络的研究提供了新的方法。因此，基于脂质组学探究运动对代谢性疾病中脂质代谢的影响，可为代谢性疾病的预测、早期诊断、治疗等相关生物标志物和生物靶点研究提供新思路。

通讯作者：丁海丽 , Email:dingdingtang111@163.com

The effect of exercise on lipid metabolism in metabolic diseases analyzed based on lipidomics

QIN Lang¹ , FU Ze-Ting¹ , ZHANG Yan¹ , SUN Dan² , DING Hai-Li^1,*

¹School of Sports Medicine and Health, Chengdu Sport University, Chengdu 610041, China ²Beijing Sport University, Beijing 100084, China

Abstract:

Metabolic disorders significantly increase the risk of metabolic diseases such as type 2 diabetes,
hypertension, fatty liver disease, and sarcopenia. With the improvement of the quality of life, the incidence of metabolic diseases is increasing, which seriously endangers human health. Exercise can improve the metabolic health of the whole body and is the main means for the treatment of metabolic diseases. However, the systemic regulation of exercise on the whole body is complex. The development of lipidomic technologies provides new methods for the study of exercise-related biological networks. Therefore, exploring the effects of exercise on lipid metabolism in metabolic diseases based on lipidomics can provide new ideas for biomarkers and biological targets to predict, diagnose and treat metabolic diseases.

Communication Author：DING Hai-Li , Email:dingdingtang111@163.com