Biosciences, College of Life and Environmental Sciences, University of Exeter, Geoffrey Pope, Stocker Road, Exeter, Devon EX4 4QD, UK.
AstraZeneca, Global Environment, Alderley Park, Macclesfield, Cheshire SK10 4TF, UK; School of Life Sciences, Gibbet Hill Campus, The University of Warwick, Coventry, CV4 7AL, UK.
Environ Int. 2017 Dec;109:155-169. doi: 10.1016/j.envint.2017.09.013. Epub 2017 Sep 28.
Antibiotics are vital in the treatment of bacterial infectious diseases but when released into the environment they may impact non-target organisms that perform vital ecosystem services and enhance antimicrobial resistance development with significant consequences for human health. We evaluate whether the current environmental risk assessment regulatory guidance is protective of antibiotic impacts on the environment, protective of antimicrobial resistance, and propose science-based protection goals for antibiotic manufacturing discharges. A review and meta-analysis was conducted of aquatic ecotoxicity data for antibiotics and for minimum selective concentration data derived from clinically relevant bacteria. Relative species sensitivity was investigated applying general linear models, and predicted no effect concentrations were generated for toxicity to aquatic organisms and compared with predicted no effect concentrations for resistance development. Prokaryotes were most sensitive to antibiotics but the range of sensitivities spanned up to several orders of magnitude. We show reliance on one species of (cyano)bacteria and the 'activated sludge respiration inhibition test' is not sufficient to set protection levels for the environment. Individually, neither traditional aquatic predicted no effect concentrations nor predicted no effect concentrations suggested to safeguard for antimicrobial resistance, protect against environmental or human health effects (via antimicrobial resistance development). Including data from clinically relevant bacteria and also more species of environmentally relevant bacteria in the regulatory framework would help in defining safe discharge concentrations for antibiotics for patient use and manufacturing that would protect environmental and human health. It would also support ending unnecessary testing on metazoan species.
抗生素在治疗细菌性传染病方面至关重要,但当它们释放到环境中时,可能会对执行重要生态系统服务的非靶标生物产生影响,并增强抗生素耐药性的发展,对人类健康产生重大影响。我们评估了当前的环境风险评估监管指南是否能保护抗生素对环境的影响,是否能保护抗生素耐药性,并为抗生素制造排放提出基于科学的保护目标。我们对抗生素的水生生态毒性数据和源自临床相关细菌的最小选择浓度数据进行了综述和荟萃分析。应用一般线性模型研究了相对物种敏感性,并针对水生生物的毒性生成了预测无效应浓度,并与抗生素耐药性发展的预测无效应浓度进行了比较。原核生物对抗生素最敏感,但敏感性范围跨度可达几个数量级。我们表明,仅依赖于一种(氰)细菌物种,以及“活性污泥呼吸抑制试验”不足以设定环境的保护水平。单独来看,传统的水生预测无效应浓度或为保护抗生素耐药性而建议的预测无效应浓度都不能防止环境或人类健康受到影响(通过抗生素耐药性的发展)。在监管框架中纳入临床相关细菌和更多种环境相关细菌的数据,将有助于确定用于患者治疗和制造的抗生素的安全排放浓度,从而保护环境和人类健康。这也将有助于终止对后生动物物种的不必要测试。