Stanton Isobel Catherine, Bethel Alison, Leonard Anne Frances Clare, Gaze William Hugo, Garside Ruth
European Centre for Environment and Human Health, College of Medicine and Health, Penryn Campus, University of Exeter, Penryn, TR10 9FE UK.
College of Medicine and Health, St Luke's Campus, University of Exeter, Exeter, EX1 1TX UK.
Environ Evid. 2022;11(1):8. doi: 10.1186/s13750-022-00262-2. Epub 2022 Mar 12.
Antimicrobial resistance (AMR) is predicted to become the leading cause of death by 2050 with antibiotic resistance being an important component. Anthropogenic pollution introduces antibiotic resistant bacteria (ARB) and antibiotic resistance genes (ARGs) to the natural environment. Currently, there is limited empirical evidence demonstrating whether humans are exposed to environmental AMR and whether this exposure can result in measurable human health outcomes. In recent years there has been increasing interest in the role of the environment and disparate evidence on transmission of AMR to humans has been generated but there has been no systematic attempt to summarise this. We aim to create two systematic maps that will collate the evidence for (1) the transmission of antibiotic resistance from the natural environment to humans on a global scale and (2) the state of antibiotic resistance in the environment in the United Kingdom.
Search strategies were developed for each map. Searches were undertaken in 13 bibliographic databases. Key websites were searched and experts consulted for grey literature. Search results were managed using EndNote X8. Titles and abstracts were screened, followed by the full texts. Articles were double screened at a minimum of 10% at both stages with consistency checking and discussion when disagreements arose. Data extraction occurred in Excel with bespoke forms designed. Data extracted from each selected study included: bibliographic information; study site location; exposure source; exposure route; human health outcome (Map 1); prevalence/percentage/abundance of ARB/antibiotic resistance elements (Map 2) and study design. EviAtlas was used to visualise outputs.
For Map 1, 40 articles were included, from 11,016 unique articles identified in searches, which investigated transmission of AMR from the environment to humans. Results from Map 1 showed that consumption/ingestion was the most studied transmission route. Exposure (n = 17), infection (n = 16) and colonisation (n = 11) being studied as an outcome a similar number of times, with mortality studied infrequently (n = 2). In addition, was the most highly studied bacterium (n = 16). For Map 2, we included 62 studies quantifying ARB or resistance elements in the environment in the UK, from 6874 unique articles were identified in the searches. The most highly researched species was mixed communities (n = 32). The most common methodology employed in this research question was phenotypic testing (n = 37). The most commonly reported outcome was the characterisation of ARBs (n = 40), followed by characterisation of ARGs (n = 35). Other genetic elements, such as screening for (n = 15) (which encodes a Class 1 integron which is used as a proxy for environmental ARGs) and point mutations (n = 1) were less frequently reported. Both maps showed that research was focused towards aquatic environments.
Both maps can be used by policy makers to show the global (Map 1) and UK (Map 2) research landscapes and provide an overview of the state of AMR in the environment and human health impacts of interacting with the environment. We have also identified (1) clusters of research which may be used to perform meta-analyses and (2) gaps in the evidence base where future primary research should focus.
The online version contains supplementary material available at 10.1186/s13750-022-00262-2.
预计到2050年,抗菌药物耐药性(AMR)将成为主要死因,抗生素耐药性是其中一个重要组成部分。人为污染将抗生素耐药菌(ARB)和抗生素耐药基因(ARG)引入自然环境。目前,仅有有限的实证证据表明人类是否暴露于环境AMR以及这种暴露是否会导致可测量的人类健康结果。近年来,人们对环境的作用兴趣日益增加,并且产生了关于AMR向人类传播的不同证据,但尚未进行系统的总结尝试。我们旨在创建两个系统图谱,以整理以下两方面的证据:(1)全球范围内抗生素耐药性从自然环境向人类的传播情况;(2)英国环境中的抗生素耐药性状况。
为每个图谱制定了检索策略。在13个文献数据库中进行了检索。搜索了关键网站,并就灰色文献咨询了专家。使用EndNote X8管理检索结果。先筛选标题和摘要,然后筛选全文。在两个阶段至少对10%的文章进行双人筛选,出现分歧时进行一致性检查和讨论。在Excel中使用定制表格进行数据提取。从每项选定研究中提取的数据包括:文献信息;研究地点;暴露源;暴露途径;人类健康结果(图谱1);ARB/抗生素耐药元件的流行率/百分比/丰度(图谱2)以及研究设计。使用EviAtlas对结果进行可视化展示。
对于图谱1,从检索到的11016篇独特文章中纳入了40篇文章,这些文章研究了AMR从环境向人类的传播。图谱1的结果表明,消费/摄入是研究最多的传播途径。将暴露(n = 17)、感染(n = 16)和定植(n = 11)作为结果进行研究的次数相近,而对死亡率的研究较少(n = 2)。此外,大肠杆菌是研究最多的细菌(n = 16)。对于图谱2,我们从检索到的6874篇独特文章中纳入了62项量化英国环境中ARB或耐药元件的研究。研究最多的物种是混合群落(n = 32)。该研究问题中使用最多的方法是表型测试(n = 37)。最常报告的结果是ARB的特征描述(n = 40),其次是ARG的特征描述(n = 35)。其他遗传元件,如对intI1(编码1类整合子,用作环境ARG的替代指标)的筛选(n = 15)和点突变(n = 1)的报告较少。两个图谱均显示研究主要集中在水生环境。
政策制定者可使用这两个图谱展示全球(图谱1)和英国(图谱2)的研究概况,并概述环境中AMR的状况以及与环境相互作用对人类健康的影响。我们还确定了(1)可用于进行荟萃分析的研究集群,以及(2)证据基础中的空白领域,未来的基础研究应聚焦于此。
在线版本包含可在10.1186/s13750 - 022 - 00262 - 2获取的补充材料。