Inserm, CNRS, University Grenoble Alpes, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, IAB, Grenoble, France.
ISGlobal, Barcelona, Spain.
Int J Epidemiol. 2020 Apr 1;49(2):572-586. doi: 10.1093/ije/dyaa017.
Several environmental contaminants were shown to possibly influence fetal growth, generally from single exposure family studies, which are prone to publication bias and confounding by co-exposures. The exposome paradigm offers perspectives to avoid selective reporting of findings and to control for confounding by co-exposures. We aimed to characterize associations of fetal growth with the pregnancy chemical and external exposomes.
Within the Human Early-Life Exposome project, 131 prenatal exposures were assessed using biomarkers and environmental models in 1287 mother-child pairs from six European cohorts. We investigated their associations with fetal growth using a deletion-substitution-addition (DSA) algorithm considering all exposures simultaneously, and an exposome-wide association study (ExWAS) considering each exposure independently. We corrected for exposure measurement error and tested for exposure-exposure and sex-exposure interactions.
The DSA model identified lead blood level, which was associated with a 97 g birth weight decrease for each doubling in lead concentration. No exposure passed the multiple testing-corrected significance threshold of ExWAS; without multiple testing correction, this model was in favour of negative associations of lead, fine particulate matter concentration and absorbance with birth weight, and of a positive sex-specific association of parabens with birth weight in boys. No two-way interaction between exposure variables was identified.
This first large-scale exposome study of fetal growth simultaneously considered >100 environmental exposures. Compared with single exposure studies, our approach allowed making all tests (usually reported in successive publications) explicit. Lead exposure is still a health concern in Europe and parabens health effects warrant further investigation.
多项环境污染物可能会影响胎儿生长,这些研究通常来自于单暴露的家族研究,而此类研究容易出现发表偏倚和共暴露因素的混杂。外核组学方法提供了避免选择性报告结果和控制共暴露因素混杂的视角。我们旨在描述胎儿生长与妊娠化学和外部外核组学之间的关联。
在人类早期生活外核组学项目中,我们使用生物标志物和环境模型在来自六个欧洲队列的 1287 对母婴对中评估了 131 种产前暴露。我们使用一种删除-替代-添加(DSA)算法同时考虑所有暴露因素,以及一种外核组学全关联研究(ExWAS)独立考虑每种暴露因素,来研究它们与胎儿生长的关联。我们对暴露测量误差进行了校正,并检验了暴露-暴露和性别-暴露的相互作用。
DSA 模型确定了血铅水平,其浓度每增加一倍,胎儿体重就会减少 97 克。没有一种暴露因素通过 ExWAS 的多重检验校正显著阈值;在没有多重检验校正的情况下,该模型倾向于认为铅、细颗粒物浓度和吸收率与出生体重呈负相关,而在男孩中,对羟基苯甲酸酯与出生体重呈正相关,且具有性别特异性。未发现暴露变量之间存在双向相互作用。
这是首次对胎儿生长进行的大规模外核组学研究,同时考虑了超过 100 种环境暴露因素。与单一暴露研究相比,我们的方法使所有的测试(通常在连续的出版物中报告)都变得明确。铅暴露在欧洲仍然是一个健康问题,对羟基苯甲酸酯的健康影响值得进一步研究。