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慢性非传染性疾病发病率不断上升,对“运动即良医”的概念提出挑战,一定程度上是因为运动对能量平衡的影响机制及其与高脂膳食、久坐不动的交互作用非常复杂,且人们在分子水平上还知之甚少。另外,人类基因多态性导致机体对运动的反应存在极大变异性,其中,线粒体网络对运动、久坐、膳食的适应性变化十分关键。为更准确发挥运动对非传染性疾病的防治作用,需从多因素水平考虑如何有效提升人口健康水平,例如依靠高通量基因组学、蛋白质组学和代谢组学方法研发个性化运动干预方案。本文建议根据基因型和运动响应的分子信息、个体生活方式鉴定线粒体表型,从而优化运动对非传染性疾病的预防作用。
The rising incidence of chronic noncommunicable diseases challenged the notion of “exercise as good doctor,” in part because of the mechanism by which exercise affects the energy balance and its interaction with high-fat diet and sedentary Very complex, and people know very little at the molecular level. In addition, human genetic polymorphisms lead to great variability in the body’s response to exercise. Among them, the mitochondrial network is crucial for the adaptive changes of exercise, sedentary and diet. In order to better exert the campaign prevention and control of non-communicable diseases, we need to consider how to effectively improve the population health level from a multi-factor level. For example, we rely on high-throughput genomics, proteomics and metabolomics to develop personalized exercise intervention programs. In this paper, mitochondrial phenotypes are suggested based on molecular information of genotype and motor response, and lifestyle of individuals, so as to optimize the preventive effect of exercise on non-communicable diseases.