Suppr超能文献

新冠病毒治疗药物:它们会带来环境风险吗?

COVID-19 Treatment Agents: Do They Pose an Environmental Risk?

作者信息

Desgens-Martin Violaine, Keller Arturo A

机构信息

Bren School of Environmental Science and Management, University of California at Santa Barbara, Santa Barbara, California 93106, United States.

出版信息

ACS ES T Water. 2021 Jun 9;1(7):1555-1565. doi: 10.1021/acsestwater.1c00059. eCollection 2021 Jul 9.

Abstract

The end of 2019 was marked by reports of a previously unknown virus causing coronavirus disease 19 (COVID-19). With over 800 new daily hospitalizations at the peak in Los Angeles (LA) County, the potential for high use of COVID-19 treatment agents, remdesivir and dexamethasone, warranted a screening assessment of their fate and toxicity risk for aquatic organisms. We predicted environmental concentrations (PECs) using the ChemFate model and hospitalizations data and compared them to predicted ecotoxicity concentrations generated using Ecological Structure Activity Relationships (ECOSAR) to assess risk to potentially exposed organisms. The lowest predicted toxicity thresholds were between 2 and 11 orders of magnitude greater than the highest PECs for freshwater and saltwater. We conclude that had all eligible patients in LA County been given the recommended treatment regimen, exposure of aquatic organisms in regional water bodies to remdesivir, dexamethasone, and their evaluated metabolites would not be likely to be affected based on ECOSAR predictions. Conservative, protective assumptions were used for this screening analysis, considering limited toxicity information. Modeling tools thus serve to predict environmental concentrations and estimate ecotoxicity risks of novel treatment agents and can provide useful preliminary data to assess and manage ecological health risks.

摘要

2019年末,有报告称一种此前未知的病毒引发了冠状病毒病19(COVID-19)。在洛杉矶县疫情高峰期,每天新增住院病例超过800例,因此COVID-19治疗药物瑞德西韦和地塞米松的高使用量,使得有必要对它们在水生生物中的归宿和毒性风险进行筛选评估。我们使用ChemFate模型和住院病例数据预测了环境浓度(PECs),并将其与使用生态结构活性关系(ECOSAR)生成的预测生态毒性浓度进行比较,以评估对潜在暴露生物的风险。预测的最低毒性阈值比淡水和咸水的最高PECs高2至11个数量级。我们得出结论,根据ECOSAR预测,如果洛杉矶县所有符合条件的患者都接受推荐的治疗方案,区域水体中的水生生物接触瑞德西韦、地塞米松及其评估代谢物的情况不太可能受到影响。考虑到毒性信息有限,本次筛选分析采用了保守的保护假设。建模工具因此有助于预测新型治疗药物的环境浓度并估计其生态毒性风险,可为评估和管理生态健康风险提供有用的初步数据。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验