妊娠尿液中草甘膦和氨甲基膦酸浓度与早产的关系:MIREC 研究

IF 4.1 3区 医学 Q2 ENVIRONMENTAL SCIENCES Journal of Exposure Science and Environmental Epidemiology Pub Date : 2024-09-18 DOI:10.1038/s41370-024-00702-w
Jillian Ashley-Martin, Leonora Marro, James Owen, Michael M. Borghese, Tye Arbuckle, Maryse F. Bouchard, Bruce Lanphear, Mark Walker, Warren Foster, Mandy Fisher
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引用次数: 0

摘要

背景很少有高质量的研究评估了尿草甘膦或其环境降解物(氨甲基膦酸 (AMPA))与早产(PTB)之间的关系。方法我们测量了 2008-2011 年间从加拿大 10 个城市招募的 MIREC 参与者的头三个月尿草甘膦和 AMPA 浓度。在对1880名妊娠头三个月尿样进行草甘膦或AMPA分析的参与者中,有1765名是单胎活产。我们的主要结果是早产 (PTB),定义为在 20 到 37 周之间出生的婴儿。次要结果是自发性早产(sPTB)和胎龄。我们使用离散时间生存分析法和多变量逻辑回归法建立了 PTB 和 sPTB 的危险模型,以计算几率比 (OR)。我们使用多变量线性回归模型来量化分析物与胎龄之间的关联。为了评估胎儿性别对效应的影响,我们对所有模型进行了分层并计算了交互项。在逻辑回归模型中,我们还计算了交互作用导致的相对超额风险。结果6%(n = 106)的研究人群为早产,4.7%(n = 83)为自然早产。草甘膦和AMPA的比重标准化浓度中位数分别为0.25和0.21微克/升。草甘膦或 AMPA 与 PTB、sPTB 和胎龄之间的相关性均以空值为中心。草甘膦和 AMPA 浓度每增加一倍,PTB 的调整 OR 分别为 0.98(95% CI:0.94, 1.03)和 0.99(95% CI:0.92, 1.06)。结论 在这个加拿大妊娠队列中,草甘膦和 AMPA 尿液浓度均与 PTB 或妊娠期缩短无关。
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Gestational urinary concentrations of glyphosate and aminomethylphosphonic acid in relation to preterm birth: the MIREC study

Background

Few high-quality studies have evaluated associations between urinary glyphosate or its environmental degradate (aminomethylphosphonic acid (AMPA)] and preterm birth (PTB).

Objectives

To quantify associations between urinary glyphosate and AMPA and preterm birth in the pan-Canadian Maternal-Infant Research on Environmental Chemicals (MIREC) study and determine if associations differ by fetal sex.

Methods

We measured first trimester urinary glyphosate and AMPA concentrations in MIREC participants who were recruited between 2008–2011 from 10 Canadian cities. Of the 1880 participants whose first trimester urine samples were analyzed for glyphosate or AMPA, 1765 delivered a singleton, live birth. Our primary outcome was preterm birth (PTB) defined as births occurring between 20 and <37 weeks. Secondary outcomes were spontaneous preterm births (sPTB) and gestational age. We modelled the hazard of PTB and sPTB using discrete time survival analysis with multivariable logistic regression to calculate odds ratios (OR). We used multivariable linear regression models to quantify associations between analytes and gestational age. To assess effect modification by fetal sex, we stratified all models and calculated interaction terms. In the logistic regressions models we additionally calculated the relative excess risk due to interaction.

Results

Six percent (n = 106) of the study population delivered preterm, and 4.7% (n = 83) had a spontaneous preterm birth. Median specific-gravity standardized concentrations of glyphosate and AMPA were 0.25 and 0.21 µg/L. Associations between both glyphosate or AMPA and PTB, sPTB, and gestational age centered around the null value. The adjusted ORs of PTB for each doubling of glyphosate and AMPA concentrations were 0.98 (95% CI: 0.94, 1.03) and 0.99 (95% CI: 0.92, 1.06) respectively. We observed no evidence of differences by fetal sex.

Conclusions

In this Canadian pregnancy cohort, neither glyphosate nor AMPA urinary concentrations was associated with PTB or reduced gestational length.

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来源期刊
CiteScore
8.90
自引率
6.70%
发文量
93
审稿时长
3 months
期刊介绍: Journal of Exposure Science and Environmental Epidemiology (JESEE) aims to be the premier and authoritative source of information on advances in exposure science for professionals in a wide range of environmental and public health disciplines. JESEE publishes original peer-reviewed research presenting significant advances in exposure science and exposure analysis, including development and application of the latest technologies for measuring exposures, and innovative computational approaches for translating novel data streams to characterize and predict exposures. The types of papers published in the research section of JESEE are original research articles, translation studies, and correspondence. Reported results should further understanding of the relationship between environmental exposure and human health, describe evaluated novel exposure science tools, or demonstrate potential of exposure science to enable decisions and actions that promote and protect human health.
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