Abstract：
Pregnant women are highly vulnerable to environmental stressors such as ambient particulate matter (PM). Particularly during their 3rd trimester, their bodies undergo significant oxidative stresses. To further consolidate this dialogue into practice, the current study evaluated healthy pregnant women (n = 150 housewives; 18-40 years old; gestation age >36 weeks) from the highly polluted city of Yazd, Iran, from September to November 2021. The aerosol optical depth (AOD) data retrieved from the Moderate Resolution Imaging Spectroradiometer (MODIS) were employed as influencing variables and validated using field-collected PM10 data (r = 0.62, p-value <0.01). The links between blood platelet count, enzymes (SGOT, SGPT, LDH, bilirubin), metabolic products (urea and acid uric) and different combinations of AOD data were assessed using the Generalized Additive Model. The results showed a high temporal variability in AOD (0.94 ± 0.51) but a spatially stable distribution pattern. The mean AOD during the 3rd trimester, followed by that of the three-month peak, were identified as the most significant non-linear predictors, while the mean AOD during the 1st trimester and throughout the entire pregnancy showed no significant associations with any of the biomarkers. Considering the associations found between AOD variables and maternal oxidative stresses, urgent planning is required to improve the urban air quality for sensitive subpopulations.
摘要：
孕妇极易受到环境压力的影响，例如环境颗粒物（PM）。特别是在他们的第三个三个月，他们的身体经历显著的氧化应激。为进一步把这一对话落到实处,当前的研究评估了来自高污染城市亚兹德的健康孕妇（n=150名家庭主妇；18-40岁；妊娠年龄>36周），伊朗,2021年9月至11月。采用中分辨率成像光谱辐射计（MODIS）获取的气溶胶光学深度（AOD）数据作为影响变量，并使用现场收集的PM10数据进行验证（r=0.62，p值<0.01）。血小板计数之间的联系,酶(SGOT，SGPT,LDH,胆红素），使用广义加性模型评估代谢产物(尿素和酸性尿酸)和AOD数据的不同组合.结果表明，AOD的时间变异性很高（0.94±0.51），但具有空间稳定的分布模式。妊娠晚期的平均AOD，其次是三个月的高峰，被确定为最重要的非线性预测因子，而妊娠早期和整个妊娠期间的平均AOD与任何生物标志物均无显著关联。考虑到AOD变量与母体氧化应激之间的关联，需要紧急规划来改善敏感亚人群的城市空气质量。
