Reese Sarah E, Zhao Shanshan, Wu Michael C, Joubert Bonnie R, Parr Christine L, Håberg Siri E, Ueland Per Magne, Nilsen Roy M, Midttun Øivind, Vollset Stein Emil, Peddada Shyamal D, Nystad Wenche, London Stephanie J
Epidemiology Branch, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, North Carolina, USA.
Environ Health Perspect. 2017 Apr;125(4):760-766. doi: 10.1289/EHP333. Epub 2016 Jun 21.
Maternal smoking during pregnancy, especially when sustained, leads to numerous adverse health outcomes in offspring. Pregnant women disproportionately underreport smoking and smokers tend to have lower follow-up rates to repeat questionnaires. Missing, incomplete, or inaccurate data on presence and duration of smoking in pregnancy impairs identification of novel health effects and limits adjustment for smoking in studies of other pregnancy exposures. An objective biomarker in newborns of maternal smoking during pregnancy would be valuable.
We developed a biomarker of sustained maternal smoking in pregnancy using common DNA methylation platforms.
Using a dimension reduction method, we developed and tested a numeric score in newborns to reflect sustained maternal smoking in pregnancy from data on cotinine, a short-term smoking biomarker measured mid-pregnancy, and Illumina450K cord blood DNA methylation from newborns in the Norwegian Mother and Child Cohort Study (MoBa).
This score reliably predicted smoking status in the training set ( = 1,057; accuracy = 96%, sensitivity = 80%, specificity = 98%). Sensitivity (58%) was predictably lower in the much smaller test set ( = 221), but accuracy (91%) and specificity (97%) remained high. Reduced birth weight, a well-known effect of maternal smoking, was as strongly related to the score as to cotinine. A three-site score had lower, but acceptable, performance (accuracy = 82%, accuracy = 83%).
Our smoking methylation score represents a promising novel biomarker of sustained maternal smoking during pregnancy easily calculated with Illumina450K or IlluminaEPIC data. It may help identify novel health impacts and improve adjustment for smoking when studying other risk factors with more subtle effects.
孕期母亲吸烟,尤其是持续吸烟,会给后代带来诸多不良健康后果。孕妇往往少报吸烟情况,而且吸烟者对重复问卷调查的随访率往往较低。孕期吸烟情况的缺失、不完整或不准确数据,会影响对新健康影响的识别,并限制在其他孕期暴露研究中对吸烟因素的调整。孕期母亲吸烟的新生儿体内的客观生物标志物将很有价值。
我们利用常见的DNA甲基化平台开发了一种孕期母亲持续吸烟的生物标志物。
我们采用降维方法,根据可替宁(孕期中期测量的短期吸烟生物标志物)数据以及挪威母婴队列研究(MoBa)中新生儿的Illumina450K脐带血DNA甲基化数据,开发并测试了一种新生儿数值评分,以反映孕期母亲的持续吸烟情况。
该评分在训练集(n = 1057;准确率 = 96%,灵敏度 = 80%,特异性 = 98%)中可靠地预测了吸烟状态。在小得多的测试集(n = 221)中,灵敏度(58%)较低,但准确率(91%)和特异性(97%)仍然很高。出生体重降低是母亲吸烟的一个众所周知的影响,与该评分的相关性与可替宁一样强。一个三位点评分的表现较低,但仍可接受(准确率 = 82%,精确率 = 83%)。
我们的吸烟甲基化评分代表了一种很有前景的孕期母亲持续吸烟新生物标志物,利用Illumina450K或IlluminaEPIC数据可轻松计算得出。在研究其他影响较细微的风险因素时,它可能有助于识别新的健康影响,并改善对吸烟因素的调整。