Winter Matthew J, Lillicrap Adam D, Caunter John E, Schaffner Christian, Alder Alfredo C, Ramil Maria, Ternes Thomas A, Giltrow Emma, Sumpter John P, Hutchinson Thomas H
AstraZeneca Global Safety, Health and Environment, Brixham Environmental Laboratory, Freshwater Quarry, Brixham, Devon TQ5 8BA, United Kingdom.
Aquat Toxicol. 2008 Feb 18;86(3):361-9. doi: 10.1016/j.aquatox.2007.11.017. Epub 2007 Dec 3.
Atenolol is a beta-adrenergic receptor antagonist ('beta-blocker') widely used for the treatment of angina, glaucoma, high blood pressure and other related conditions. Since atenolol is not appreciably metabolized in humans, the parent compound is the predominant excretory product, and has been detected in sewage effluent discharges and surface waters. Consequently, atenolol has been chosen as a reference pharmaceutical for a European Union-funded research consortium, known as ERAPharm (http://www.erapharm.org), which focused on the fate and effects of pharmaceuticals in the environment. Here, we present data generated within this project from studies assessing population-relevant effects in a freshwater fish species. Using fathead minnows (Pimephales promelas) as a standard OECD test species, embryo-larval development (early life stage or ELS) and short-term (21 d) adult reproduction studies were undertaken. In the ELS study, the 4d embryo NOEC(hatching) and LOEC(hatching) values were 10 and >10mg/L, respectively, and after 28 d, NOEC(growth) and LOEC(growth) values were 3.2 and 10mg/L, respectively (arithmetic mean measured atenolol concentrations were >90% of these nominal values). In the short-term reproduction study, NOEC(reproduction) and LOEC(reproduction) values were 10 and >10mg/L, respectively (mean measured concentrations were 77-96% of nominal values), while the most sensitive endpoint was an increase in male fish condition index, giving NOEC(condition index) and LOEC(condition index) values of 1.0 and 3.2mg/L, respectively. The corresponding measured plasma concentration of atenolol in these fish was 0.0518 mg/L. These data collectively suggest that atenolol has low chronic toxicity to fish under the conditions described, particularly considering the low environmental concentrations reported. These data also allowed the assessment of two theoretical approaches proposed as predictors of the environmental impact of human pharmaceuticals: the Huggett 'mammalian-fish leverage model'; and the acute:chronic ratio (ACR). The Huggett model gave a measured human: fish effect ratio (ER) of 19.3 for atenolol, which compared well with the predicted ER of 40.98. Moreover, for an ER of 19.3, the model suggests that chronic testing may be warranted, and from our resultant effects data, atenolol does not cause significant chronic effects in fathead minnow at environmentally realistic concentrations. The calculated ACR for atenolol is >31.25, which is far lower than that of 17 alpha-ethinylestradiol and other potent steroidal oestrogens, thus further supporting the observed low toxicity. The data produced for atenolol here fit well with both approaches, but also highlight the importance of generating 'real' experimental data with which to calibrate and validate such models.
阿替洛尔是一种β-肾上腺素能受体拮抗剂(“β受体阻滞剂”),广泛用于治疗心绞痛、青光眼、高血压及其他相关病症。由于阿替洛尔在人体内不易被代谢,母体化合物是主要的排泄产物,已在污水排放和地表水中被检测到。因此,阿替洛尔被欧盟资助的研究联盟ERAPharm(http://www.erapharm.org)选为参考药物,该联盟专注于药物在环境中的归宿和影响。在此,我们展示了该项目中评估淡水鱼类种群相关效应的研究产生的数据。使用黑头呆鱼(Pimephales promelas)作为经合组织标准测试物种,进行了胚胎-幼体发育(早期生命阶段或ELS)和短期(21天)成体繁殖研究。在ELS研究中,4天胚胎的无可见效应浓度(NOEC,孵化)和最低可见效应浓度(LOEC,孵化)分别为10和>10mg/L,28天后,NOEC(生长)和LOEC(生长)值分别为3.2和10mg/L(实测阿替洛尔浓度的算术平均值>这些标称值的90%)。在短期繁殖研究中,NOEC(繁殖)和LOEC(繁殖)值分别为10和>10mg/L(实测浓度平均值为标称值的77 - 96%),而最敏感的终点是雄鱼状况指数增加,NOEC(状况指数)和LOEC(状况指数)值分别为1.0和3.2mg/L。这些鱼体内实测的阿替洛尔血浆浓度为0.0518mg/L。这些数据共同表明,在所描述的条件下,阿替洛尔对鱼类的慢性毒性较低,特别是考虑到所报道的环境浓度较低。这些数据还使得能够评估作为人类药物环境影响预测指标提出的两种理论方法:哈格特“哺乳动物-鱼类杠杆模型”;以及急性:慢性比值(ACR)。哈格特模型得出阿替洛尔的实测人:鱼效应比值(ER)为19.3,与预测的ER值40.98相当。此外,对于ER值为19.3,该模型表明可能需要进行慢性测试,而从我们得出的效应数据来看,在环境现实浓度下,阿替洛尔对黑头呆鱼不会造成显著的慢性影响。计算得出的阿替洛尔的ACR>31.25,远低于17α-乙炔雌二醇和其他强效甾体雌激素,从而进一步支持了所观察到的低毒性。这里为阿替洛尔生成的数据与这两种方法都很契合,但也突出了生成“真实”实验数据以校准和验证此类模型的重要性。