论文部分内容阅读
The consistently increased morbidity of chronic non-communicable diseases,especially the metabolic diseases is becoming a major impediment for public health; the diversified etiologies and the complicated additive-effects bring on great difficulties for prevention and treatment.On one hand,external factors like lifestyle,dietary structure,intestinal flora,and environmental contamination exacerbate the prevalence of metabolic disease; on the other hand,internal factors including genetic variation,family history,racial background,and basal metabolic rate determine the susceptible population; these two parts interact with each other and appear to be constantly dynamic.Consequently,the traditional research strategies with monocenter and univariate on single population would constrain the development and progress for study of metabolic diseases.For this reason,promoting multicentral,successive,dynamic,and multipopulation based methods including the deep metabolic phenotype analysis,collection of comprehensive environmental factors,dynamic surveillance for lifestyle,construction for multiomics system,massive deep-sequencing,and combined validation for biological functions,are expected to depict the traits of formation and evolution of metabolic diseases for individuals as well as the whole population in a more accurate and comprehensive way,and would certainly become a novel orientation of precise study for metabolic diseases in the future.