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本文引用的文献

1
Statistical Approaches for Assessing Health Effects of Environmental Chemical Mixtures in Epidemiology: Lessons from an Innovative Workshop.流行病学中评估环境化学混合物对健康影响的统计方法:来自一次创新研讨会的经验教训。
Environ Health Perspect. 2016 Dec 1;124(12):A227-A229. doi: 10.1289/EHP547.
2
What Can Epidemiological Studies Tell Us about the Impact of Chemical Mixtures on Human Health?流行病学研究能告诉我们关于化学混合物对人类健康影响的哪些信息?
Environ Health Perspect. 2016 Jan;124(1):A6-9. doi: 10.1289/ehp.1510569.
3
Dialkyl phosphate urinary metabolites and chromosomal abnormalities in human sperm.人类精子中的磷酸二烷基酯尿代谢物与染色体异常
Environ Res. 2015 Nov;143(Pt A):256-65. doi: 10.1016/j.envres.2015.10.021. Epub 2015 Oct 28.
4
Assessing the carcinogenic potential of low-dose exposures to chemical mixtures in the environment: the challenge ahead.评估环境中低剂量化学混合物暴露的致癌潜力:未来的挑战。
Carcinogenesis. 2015 Jun;36 Suppl 1(Suppl 1):S254-96. doi: 10.1093/carcin/bgv039.
5
A unique view on male infertility around the globe.对全球男性不育症的独特见解。
Reprod Biol Endocrinol. 2015 Apr 26;13:37. doi: 10.1186/s12958-015-0032-1.
6
The association between environmental exposure to pyrethroids and sperm aneuploidy.拟除虫菊酯的环境暴露与精子非整倍体之间的关联。
Chemosphere. 2015 Jun;128:42-8. doi: 10.1016/j.chemosphere.2014.12.077. Epub 2015 Feb 2.
7
Attributing effects to interactions.将效应归因于相互作用。
Epidemiology. 2014 Sep;25(5):711-22. doi: 10.1097/EDE.0000000000000096.
8
Direct action of endocrine disrupting chemicals on human sperm.内分泌干扰化学物质对人类精子的直接作用。
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9
Neurobehavioural effects of developmental toxicity.发育毒性的神经行为效应。
Lancet Neurol. 2014 Mar;13(3):330-8. doi: 10.1016/S1474-4422(13)70278-3. Epub 2014 Feb 17.
10
Chemical mixtures and children's health.化学混合物与儿童健康。
Curr Opin Pediatr. 2014 Apr;26(2):223-9. doi: 10.1097/MOP.0000000000000067.

农药相互作用与精子染色体异常的风险。

Pesticide interactions and risks of sperm chromosomal abnormalities.

机构信息

George Washington University, Milken Institute School of Public Health, Department of Environmental and Occupational Health, Washington, DC, USA.

George Washington University, Milken Institute School of Public Health, Department of Epidemiology and Biostatistics, Washington, DC, USA.

出版信息

Int J Hyg Environ Health. 2019 Aug;222(7):1021-1029. doi: 10.1016/j.ijheh.2019.07.001. Epub 2019 Jul 13.

DOI:10.1016/j.ijheh.2019.07.001
PMID:31311690
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7994026/
Abstract

Disentangling the separate and synergistic effects of chemicals poses methodological challenges for accurate exposure assessment and for investigating epidemiologically how chemicals affect reproduction. We investigated combined exposures to ubiquitous contemporary use pesticides, specifically organophosphates (OP) and pyrethroids (PYR), and their association with germ cell abnormalities among adult men. Fluorescence in situ hybridization was used to determine disomy in sperm nuclei and urine was analyzed for concentrations of PYR metabolites (3-phenoxybenzoic acid; 3PBA) and OP dialkyl phosphate (DAP) metabolites. Incidence rate ratios using Poisson models were estimated for each disomy type by exposure quartile of DAP metabolites and 3PBA, controlling for confounders. The shape of the associations between PYRs, OPs and disomy were frequently nonmonotonic. There were consistent interactions between OP and PYR metabolite concentrations and the risk for sperm abnormalities. Taking both chemicals into account simultaneously resulted in quantitatively different associations than what was reported previously for OPs and PYRs separately, demonstrating the importance of modeling multiple concentrations simultaneously. Methods investigating interactions using Poisson models are needed to better quantify chemical interactions and their effects on count-based health outcomes, the importance of which was shown here for germ cell abnormalities.

摘要

解析化学品的单独和协同作用对准确的暴露评估以及从流行病学角度研究化学品如何影响生殖提出了方法学挑战。我们研究了普遍存在的当代使用的农药(特别是有机磷酸酯 (OP) 和拟除虫菊酯 (PYR))的联合暴露及其与成年男性生殖细胞异常的关系。荧光原位杂交用于确定精子核的非整倍性,尿液用于分析拟除虫菊酯代谢物(3-苯氧基苯甲酸;3PBA)和有机磷酸酯二烷基磷酸酯 (DAP) 代谢物的浓度。使用泊松模型估计了 DAP 代谢物和 3PBA 的暴露四分位距的每个非整倍体类型的发病率比,同时控制了混杂因素。PYR、OP 和非整倍体之间的关联形状经常是非单调的。OP 和拟除虫菊酯代谢物浓度与精子异常风险之间存在一致的相互作用。同时考虑这两种化学物质会导致与之前分别报告的 OP 和 PYR 之间的关联在数量上有所不同,这表明同时对多种浓度进行建模对于量化化学相互作用及其对基于计数的健康结果的影响非常重要。需要使用泊松模型研究相互作用的方法来更好地量化化学相互作用及其对基于计数的健康结果的影响,这里显示了它们对生殖细胞异常的重要性。