Siroux Valérie, Agier Lydiane, Slama Rémy
INSERM, IAB, Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Grenoble, France Université Grenoble Alpes, IAB, Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Grenoble, France CHU de Grenoble, IAB, Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Grenoble, France
INSERM, IAB, Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Grenoble, France Université Grenoble Alpes, IAB, Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Grenoble, France CHU de Grenoble, IAB, Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Grenoble, France.
Eur Respir Rev. 2016 Jun;25(140):124-9. doi: 10.1183/16000617.0034-2016.
The exposome concept was defined in 2005 as encompassing all environmental exposures from conception onwards, as a new strategy to evidence environmental disease risk factors. Although very appealing, the exposome concept is challenging in many respects. In terms of assessment, several hundreds of time-varying exposures need to be considered, but increasing the number of exposures assessed should not be done at the cost of increased exposure misclassification. Accurately assessing the exposome currently requires numerous measurements, which rely on different technologies; resulting in an expensive set of protocols. In the future, high-throughput 'omics technologies may be a promising technique to integrate a wide range of exposures from a small numbers of biological matrices. Assessing the association between many exposures and health raises statistical challenges. Due to the correlation structure of the exposome, existing statistical methods cannot fully and efficiently untangle the exposures truly affecting the health outcome from correlated exposures. Other statistical challenges relate to accounting for exposure misclassification or identifying synergistic effects between exposures. On-going exposome projects are trying to overcome technical and statistical challenges. From a public health perspective, a better understanding of the environmental risk factors should open the way to improved prevention strategies.
暴露组概念于2005年被定义为涵盖从受孕开始的所有环境暴露,是一种用以证明环境疾病风险因素的新策略。尽管极具吸引力,但暴露组概念在许多方面都具有挑战性。在评估方面,需要考虑数百种随时间变化的暴露因素,但增加评估的暴露因素数量不应以增加暴露错误分类为代价。准确评估暴露组目前需要大量测量,这依赖于不同技术,从而导致一套昂贵的方案。未来,高通量“组学”技术可能是一种有前景的技术,可从少量生物样本中整合广泛的暴露因素。评估多种暴露因素与健康之间的关联带来了统计挑战。由于暴露组的相关结构,现有的统计方法无法充分有效地从相关暴露因素中梳理出真正影响健康结果的暴露因素。其他统计挑战涉及考虑暴露错误分类或识别暴露因素之间的协同效应。正在进行的暴露组项目正试图克服技术和统计挑战。从公共卫生角度来看,更好地理解环境风险因素应该为改进预防策略开辟道路。