Oberkofler Hannes, Krempler Franz, Patsch Wolfgang
Institut für Klinische und Chemische Labordiagnostik, Landeskliniken Salzburg, Osterreich.
Wien Klin Wochenschr. 2002;114 Suppl 4:4-9.
Obesity has become the most prevalent nutritional disorder in post-industrialised societies and it is associated with the development of severe and costly complications such as type 2 diabetes mellitus and coronary heart disease or cancer. A large proportion of the risk of obesity is determined by the genetic susceptibility of an individual, but environmental factors conducive for the disorder play an important role in its phenotypic expression. Several candidate genes emerged from studies in animal models of obesity, but human pathophysiology is likely to be more complex. Thus, most cases of human obesity probably result from subtle interactions of susceptibility genes with environmental factors favouring deposition of excess calories as fat. The recent surge of obesity may relate to past evolutionary pressure which favoured selection of mechanisms defending body-weight against caloric restriction rather than against caloric excess. Rapidly developing new techniques in quantitative genetics and growing information from functional genomics will help to understand the interaction of environmental factors with signalling networks that regulate energy metabolism. The role of previously unknown pathways in the aetiology of obesity will be uncovered. The typing of numerous genetic variants will become possible and allow individual risk assessment for obesity and/or its associated disorders. Thus, rational and individually tailored therapies may be developed to combat obesity and its associated disorders.
肥胖已成为工业化后社会中最普遍的营养失调症,它与诸如2型糖尿病、冠心病或癌症等严重且代价高昂的并发症的发生有关。肥胖风险的很大一部分由个体的遗传易感性决定,但有利于该病症的环境因素在其表型表达中起着重要作用。在肥胖动物模型研究中出现了几个候选基因,但人类病理生理学可能更为复杂。因此,大多数人类肥胖病例可能是由于易感基因与有利于将多余热量以脂肪形式储存的环境因素之间的微妙相互作用所致。近期肥胖率的激增可能与过去的进化压力有关,这种压力有利于选择保护体重免受热量限制而非热量过剩影响的机制。定量遗传学中迅速发展的新技术以及功能基因组学不断增加的信息将有助于理解环境因素与调节能量代谢的信号网络之间的相互作用。肥胖病因中以前未知途径的作用将被揭示。对众多基因变异进行分型将成为可能,并允许对肥胖和/或其相关疾病进行个体风险评估。因此,可能会开发出合理且个性化定制的疗法来对抗肥胖及其相关疾病。