Ramos Rosemarie G, Olden Kenneth
Laboratory of Molecular Carcinogenesis, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, MD- NH04, Box 12233, Research Triangle Park, North Carolina 27709, USA.
Int J Environ Res Public Health. 2008 Mar;5(1):4-11. doi: 10.3390/ijerph5010004.
The lack of knowledge about the earliest events in disease development is due to the multi-factorial nature of disease risk. This information gap is the consequence of the lack of appreciation for the fact that most diseases arise from the complex interactions between genes and the environment as a function of the age or stage of development of the individual. Whether an environmental exposure causes illness or not is dependent on the efficiency of the so-called "environmental response machinery" (i.e., the complex of metabolic pathways that can modulate response to environmental perturbations) that one has inherited. Thus, elucidating the causes of most chronic diseases will require an understanding of both the genetic and environmental contribution to their etiology. Unfortunately, the exploration of the relationship between genes and the environment has been hampered in the past by the limited knowledge of the human genome, and by the inclination of scientists to study disease development using experimental models that consider exposure to a single environmental agent. Rarely in the past were interactions between multiple genes or between genes and environmental agents considered in studies of human disease etiology. The most critical issue is how to relate exposure-disease association studies to pathways and mechanisms. To understand how genes and environmental factors interact to perturb biological pathways to cause injury or disease, scientists will need tools with the capacity to monitor the global expression of thousands of genes, proteins and metabolites simultaneously. The generation of such data in multiple species can be used to identify conserved and functionally significant genes and pathways involved in gene-environment interactions. Ultimately, it is this knowledge that will be used to guide agencies such as the U.S. Department of Health and Human Services in decisions regarding biomedical research funding and policy.
对疾病发展早期事件缺乏了解是由于疾病风险具有多因素性质。这种信息差距是由于人们没有充分认识到大多数疾病源于基因与环境之间复杂的相互作用,而这种相互作用是个体发育年龄或阶段的函数。一种环境暴露是否会导致疾病取决于个体所继承的所谓“环境反应机制”(即能够调节对环境扰动反应的代谢途径复合体)的效率。因此,阐明大多数慢性病的病因需要了解基因和环境对其病因的贡献。不幸的是,过去对基因与环境关系的探索因人类基因组知识有限,以及科学家倾向于使用考虑单一环境因素暴露的实验模型来研究疾病发展而受到阻碍。在过去人类疾病病因研究中,很少考虑多个基因之间或基因与环境因素之间的相互作用。最关键的问题是如何将暴露与疾病关联研究与途径和机制联系起来。为了了解基因和环境因素如何相互作用以扰乱生物途径从而导致损伤或疾病,科学家将需要能够同时监测数千个基因、蛋白质和代谢物整体表达的工具。在多个物种中生成此类数据可用于识别参与基因 - 环境相互作用的保守且具有功能重要性的基因和途径。最终,正是这些知识将用于指导诸如美国卫生与公众服务部等机构在生物医学研究资金和政策方面的决策。