ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Department of Statistics, Faculty of Arts and Sciences, Harvard University, Cambridge, MA, USA.
ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.
Environ Int. 2019 Feb;123:189-200. doi: 10.1016/j.envint.2018.11.067. Epub 2018 Dec 6.
Characterization of the "exposome", the set of all environmental factors that one is exposed to from conception onwards, has been advocated to better understand the role of environmental factors on chronic diseases. Here, we aimed to describe the early-life exposome. Specifically, we focused on the correlations between multiple environmental exposures, their patterns and their variability across European regions and across time (pregnancy and childhood periods). We relied on the Human Early-Life Exposome (HELIX) project, in which 87 environmental exposures during pregnancy and 122 during the childhood period (grouped in 19 exposure groups) were assessed in 1301 pregnant mothers and their children at 6-11 years in 6 European birth cohorts. Some correlations between exposures in the same exposure group reached high values above 0.8. The median correlation within exposure groups was >0.3 for many exposure groups, reaching 0.69 for water disinfection by products in pregnancy and 0.67 for the meteorological group in childhood. Median correlations between different exposure groups rarely reached 0.3. Some correlations were driven by cohort-level associations (e.g. air pollution and chemicals). Ten principal components explained 45% and 39% of the total variance in the pregnancy and childhood exposome, respectively, while 65 and 90 components were required to explain 95% of the exposome variability. Correlations between maternal (pregnancy) and childhood exposures were high (>0.6) for most exposures modeled at the residential address (e.g. air pollution), but were much lower and even close to zero for some chemical exposures. In conclusion, the early life exposome was high dimensional, meaning that it cannot easily be measured by or reduced to fewer components. Correlations between exposures from different exposure groups were much lower than within exposure groups, which have important implications for co-exposure confounding in multiple exposure studies. Also, we observed the early life exposome to be variable over time and to vary by cohort, so measurements at one time point or one place will not capture its complexities.
“暴露组学”描述了一个人从受孕开始所接触到的所有环境因素,它被认为可以更好地理解环境因素对慢性疾病的作用。在这里,我们旨在描述生命早期的暴露组学。具体来说,我们关注的是多个环境暴露之间的相关性、它们的模式以及它们在欧洲各地区和时间(妊娠和儿童时期)上的可变性。我们依赖于人类生命早期暴露组学(HELIX)项目,该项目在 6 个欧洲出生队列中,对 1301 名孕妇及其 6-11 岁的儿童在妊娠期间评估了 87 种环境暴露,在儿童时期评估了 122 种环境暴露(分为 19 个暴露组)。同一暴露组内的一些暴露相关性达到了 0.8 以上的高值。许多暴露组的组内相关性中位数大于 0.3,达到 0.69 的是妊娠期间水消毒副产物,达到 0.67 的是儿童时期气象组。不同暴露组之间的中位数相关性很少达到 0.3。一些相关性是由队列水平的关联驱动的(例如,空气污染和化学物质)。十个主成分分别解释了妊娠和儿童暴露组学总方差的 45%和 39%,而要解释暴露组学变异性的 95%,则需要 65 个和 90 个成分。在以居住地址建模的大多数暴露物(例如空气污染)中,母亲(妊娠)和儿童暴露之间的相关性很高(>0.6),但对于某些化学暴露物,相关性则较低甚至接近零。总之,生命早期的暴露组学是高维的,这意味着它不能通过或简化为更少的成分来轻易测量。来自不同暴露组的暴露之间的相关性远低于同一暴露组内的相关性,这对多暴露研究中的共同暴露混杂有重要影响。此外,我们观察到生命早期的暴露组学随时间变化而变化,并且因队列而异,因此在一个时间点或一个地点进行的测量将无法捕捉其复杂性。