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本文引用的文献

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An Empirical Validation of the Within-subject Biospecimens Pooling Approach to Minimize Exposure Misclassification in Biomarker-based Studies.基于生物标志物的研究中最小化暴露错分类的个体内生物样本混合方法的实证验证。
Epidemiology. 2019 Sep;30(5):756-767. doi: 10.1097/EDE.0000000000001056.
2
Early-life exposome and lung function in children in Europe: an analysis of data from the longitudinal, population-based HELIX cohort.儿童生命早期暴露组学与肺功能:来自欧洲纵向、基于人群的 HELIX 队列的数据分析。
Lancet Planet Health. 2019 Feb;3(2):e81-e92. doi: 10.1016/S2542-5196(19)30010-5. Epub 2019 Feb 6.
3
Exposome-wide association study of semen quality: Systematic discovery of endocrine disrupting chemical biomarkers in fertility require large sample sizes.外显子组关联研究与精液质量:生育力中内分泌干扰化学标志物的系统发现需要大样本量。
Environ Int. 2019 Apr;125:505-514. doi: 10.1016/j.envint.2018.11.037. Epub 2018 Dec 22.
4
The early-life exposome: Description and patterns in six European countries.生命早期暴露组学:六个欧洲国家的描述和模式。
Environ Int. 2019 Feb;123:189-200. doi: 10.1016/j.envint.2018.11.067. Epub 2018 Dec 6.
5
In-utero and childhood chemical exposome in six European mother-child cohorts.在六个欧洲母婴队列中进行宫内和儿童期化学暴露组学研究。
Environ Int. 2018 Dec;121(Pt 1):751-763. doi: 10.1016/j.envint.2018.09.056. Epub 2018 Oct 14.
6
Variability of urinary concentrations of non-persistent chemicals in pregnant women and school-aged children.孕妇和学龄儿童尿液中非持久性化学物质浓度的变异性。
Environ Int. 2018 Dec;121(Pt 1):561-573. doi: 10.1016/j.envint.2018.09.046. Epub 2018 Oct 6.
7
Human Early Life Exposome (HELIX) study: a European population-based exposome cohort.人类早期生活暴露组(HELIX)研究:一项基于欧洲人群的暴露组队列研究。
BMJ Open. 2018 Sep 10;8(9):e021311. doi: 10.1136/bmjopen-2017-021311.
8
Serum Perfluorooctanoic Acid and Birthweight: An Updated Meta-analysis With Bias Analysis.血清全氟辛烷酸与出生体重:一项更新的荟萃分析及偏倚分析。
Epidemiology. 2018 Nov;29(6):765-776. doi: 10.1097/EDE.0000000000000903.
9
Analysis of multicentre epidemiological studies: contrasting fixed or random effects modelling and meta-analysis.多中心流行病学研究分析:固定或随机效应模型比较与荟萃分析。
Int J Epidemiol. 2018 Aug 1;47(4):1343-1354. doi: 10.1093/ije/dyy117.
10
Prenatal exposure to endocrine disrupting chemicals and risk of being born small for gestational age: Pooled analysis of seven European birth cohorts.产前暴露于内分泌干扰化学物质与小于胎龄儿出生风险的关系:来自七个欧洲出生队列的汇总分析。
Environ Int. 2018 Jun;115:267-278. doi: 10.1016/j.envint.2018.03.017. Epub 2018 Mar 30.

妊娠暴露组学与胎儿生长的关联。

Association between the pregnancy exposome and fetal growth.

机构信息

Inserm, CNRS, University Grenoble Alpes, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, IAB, Grenoble, France.

ISGlobal, Barcelona, Spain.

出版信息

Int J Epidemiol. 2020 Apr 1;49(2):572-586. doi: 10.1093/ije/dyaa017.

DOI:10.1093/ije/dyaa017
PMID:32167557
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7266545/
Abstract

BACKGROUND

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

摘要

背景

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。

方法

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。

结果

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。

结论

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。