大麻对14个欧洲国家先天性肢体异常的影响:一项地理时空和因果推理研究。

IF 4.8 Q1 GENETICS & HEREDITY
Environmental Epigenetics Pub Date : 2022-07-05 eCollection Date: 2022-01-01 DOI:10.1093/eep/dvac016
Albert Stuart Reece, Gary Kenneth Hulse
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引用次数: 7

摘要

大麻素暴露在一些欧洲国家正在增加。因此,欧洲为最近报道的大麻暴露与先天性肢体异常率(CLARs)之间的联系提供了一个有趣的测试环境。指数型基因毒性剂量-反应关系使这项研究既有趣又势在必行。14个国家的年度CLAR来自先天性异常的流行病学监测。药物使用率来自欧洲药物和药物依赖监测中心。家庭收入中位数来自世界银行。e值提供了对外来协变量混淆的结果稳健性的定量度量。逆概率加权是一种重要的技术,用于平衡各国之间的风险暴露和消除偏差来源。在每日大麻使用量增加的国家,CLA、髋关节发育不良和整组肢体异常的发生率更高(P分别= 1.81 × 10-16、0.0005和2.53 × 10-6)。在加性逆概率加权面板模型中,残肢还原树脂Δ9-tetrahydrocannabinol (THC)浓度e值估计为519.93[95%下限(mEV) 49.56],顺序为树脂>草本>烟草>酒精。从反概率加权面板模型和空间模型的57个e值对中,86%的e值估计和70.2%的mev都注意到了海拔。根据mEV判断,大麻暴露与指标的关联程度为髋关节发育不良>多指畸形>并指畸形>肢体异常>肢体减少,中位e值估计为3.40 × 1065 ~ 7.06,中位mEV为6.14 × 1033 ~ 3.41。每日大麻使用插值是大麻暴露比草药或树脂四氢大麻酚暴露更有力的指标。数据表明,大麻接触指标与CLAR密切相关,并满足因果关系的流行病学标准。与夏威夷和美国一起,欧洲现在形成了第三个证明这种因果关系的国际人口。大麻作为肢体异常的预测因素比烟草或酒精更有效。应限制大麻素的获取,以保护公众健康和跨代社区基因组/表观基因组。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Effects of cannabis on congenital limb anomalies in 14 European nations: A geospatiotemporal and causal inferential study.

Effects of cannabis on congenital limb anomalies in 14 European nations: A geospatiotemporal and causal inferential study.

Effects of cannabis on congenital limb anomalies in 14 European nations: A geospatiotemporal and causal inferential study.

Effects of cannabis on congenital limb anomalies in 14 European nations: A geospatiotemporal and causal inferential study.

Cannabinoid exposure is increasing in some European nations. Europe therefore provides an interesting test environment for the recently reported link between cannabis exposure and congenital limb anomaly (CLA) rates (CLARs). Exponential genotoxic dose-response relationships make this investigation both intriguing and imperative. Annual CLAR in 14 nations were from Epidemiological Surveillance of Congenital Anomalies. Drug use rates were from European Monitoring Centre for Drugs and Drug Dependency. Median household income was from the World Bank. E-values provide a quantitative measure of robustness of results to confounding by extraneous covariates. Inverse probability weighting is an important technique for equalizing exposures across countries and removing sources of bias. Rates of CLA, hip dysplasia and the whole group of limb anomalies were higher in countries with increasing daily cannabis use (P = 1.81 × 10-16, 0.0005 and 2.53 × 10-6, respectively). In additive inverse-probability-weighted panel models, the limb reduction-resin Δ9-tetrahydrocannabinol (THC) concentration E-value estimate was 519.93 [95% lower bound (mEV) 49.56], order Resin > Herb ≫ Tobacco > Alcohol. Elevations were noted in 86% E-value estimates and 70.2% of mEVs from 57 E-value pairs from inverse-probability-weighted panel models and from spatial models. As judged by the mEV the degree of association with metrics of cannabis exposure was hip dysplasia > polydactyly > syndactyly > limb anomalies > limb reductions with median E-value estimates from 3.40 × 1065 to 7.06 and median mEVs from 6.14 × 1033 to 3.41. Daily cannabis use interpolated was a more powerful metric of cannabis exposure than herb or resin THC exposure. Data indicate that metrics of cannabis exposure are closely linked with CLAR and satisfy epidemiological criteria for causality. Along with Hawaii and the USA, Europe now forms the third international population in which this causal link has been demonstrated. Cannabis as a predictor of limb anomalies was more potent than tobacco or alcohol. Cannabinoid access should be restricted to protect public health and the community genome/epigenome transgenerationally.

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来源期刊
Environmental Epigenetics
Environmental Epigenetics GENETICS & HEREDITY-
CiteScore
6.50
自引率
5.30%
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17 weeks
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