AMRflows: antimicrobials and resistance from manufacturing flows to people: joined up experiments, mathematical modelling and risk analysis

抗生素和其他药品从多个制造地点释放到河流中，浓度高到足以选择抗生素耐药基因(ARGs)。这种抗生素混合物可能会选择新的耐药基因组合，这尤其令人担忧，因为这将进一步限制抗生素治疗的选择。此外，处理制造废物或生活污水和进入河流的未经处理污水的细菌将混合在一起，促进质粒上携带的抗性基因的水平基因转移(HGT)。然而，抗生素在向下游输送时会被稀释，一些会很快被降解，耐药细菌可能无法存活，所以问题是，抗药性被选择了多久，它能存活多久？耐药性是否会在其他细菌消失之前传播给它们？耐药细菌的传播距离有多远？人类或牲畜暴露在什么环境中？为了提出这些问题，评估缓解策略并制定基于证据的全球环境标准，我们将进行一个独特的实验和数学建模计划，包括以下几个方面：(1)测量抗生素和重金属的浓度、水化学、水位和流速、水沉积物交换、抗生素耐药基因和抗生素耐药细菌的丰富性和多样性。(2)量化抗性基因在小试反应器中的传播。(3)在实际可控条件下，在实验室规模的反应堆中对河样进行研究选择。(4)在组织培养和斑马鱼实验室模型中研究耐药细菌感染的风险和治疗所需的抗生素剂量。(5)建立和检验了小尺度水样中抗菌素耐药性动态变化的数学模型，包括抗生素的降解、敏感细菌和耐药细菌的生长和死亡、耐药性的选择与抗生素浓度的函数、耐药的HGT。(6)建立和试验河网水流模型；这将是大规模的河流。(7)将小尺度AMR动力学和大尺度传输模型结合成一个模型，该模型可以计算化合物的稀释度，并跟踪化学品和细菌在河水、沉积物和泛滥平原中存在的时间以及它们传播到下游人口和生态系统的距离。在将其付诸实施之前，联合模型可以评估诸如分开处理抗生素生产废物和生活污水等干预措施是否在降低耐药性水平方面有效。环境AMR路径将通过两个河流系统进行检查。穆西河(海得拉巴)比阿迪亚尔河(金奈)受抗生素污染更严重。这两个地方都被污水污染了。他们的污染通过灌溉、饮用水生产和精神净化流向人们。这些河流具有枯水期，工业废物和污水集中，季风季细菌传播有限，流量大，社区内充斥着抗药性细菌。(8)基于联合模型的预测和(4)中的实验研究等信息，分析了人类健康风险。风险分析将包括这些风险的不确定性水平，并将有助于制定国际环境标准。这将是改善人类、动物和环境健康的两项主要成果，特别是(I)在污染较多和较少的河流系统中原位条件下抗性(Co)选择和转移的定量证据，以及(Ii)可作为全球跟踪AMR流动的工具的真正新颖的AMR动力学和传输模型组合框架。

Antibiotics and other pharmaceuticals are released into rivers from multiple manufacturing sites at concentrations high enough to select for antibiotic resistance genes (ARGs). Such mixtures of antibiotics may select for new combinations of resistance genes, which is particularly concerning as this will further limit antibiotic treatment options. In addition, bacteria from treating manufacturing waste or domestic sewage and raw sewage entering rivers will mingle, facilitating horizontal gene transfer (HGT) of resistance genes carried on plasmids. However, the antibiotics will be diluted while being transported downstream, and some will be quickly degraded, and resistant bacteria may not survive so the question is how long is resistance selected and how long does it survive? Is resistance transmitted to other bacteria before they are lost? How far are resistant bacteria transport and what is the exposure of humans or livestock?In order to ask these questions, evaluate mitigation strategies and develop evidence-based global environmental standards, we will pursue a unique combined experimental and mathematical modelling programme including the following streams:(1) Measure concentrations of antibiotics and heavy metals, water chemistry, water levels and flow rates, water sediment exchange, abundance and diversity of antibiotic resistance genes and antibiotic-resistant bacteria. (2) Quantify transmission of resistance genes in bench-scale reactors. (3) Study selection in the river samples in bench-scale reactors under realistic, controlled conditions. (4) Study the risk of infection by resistant bacteria in tissue culture and Zebrafish laboratory models and the antibiotic dose required for treatment. (5) Build and test a mathematical model of antimicrobial resistance (AMR) dynamics on the small scale of a water sample, including degradation of antibiotics, growth and death of sensitive and resistant bacteria, selection of resistance as a function of antibiotic concentration, HGT of resistance. (6) Build and test a model of water flow for the river network; this will be on the large scale of rivers. (7) Combine the small-scale AMR dynamics and large-scale transport models into a model that can calculate the dilution of the compounds and track how long the chemicals and bacteria have been in the river water, sediments and floodplains and how far they spread to downstream populations and ecosystems.The combined model can evaluate whether interventions such as separate treatment of antibiotic manufacturing waste and domestic sewage would be effective in reducing resistance levels before putting this into practice. The environmental AMR pathways will be examined across two river systems. The Musi (Hyderabad) is more polluted with antibiotics than the Adyar (Chennai). Both are polluted by sewage. Their pollution flows to people via irrigation, drinking water production and spiritual cleansing. These rivers have phases of low flow with concentrated industrial waste and sewage and limited bacterial spread and high flows in the monsoon season, flooding communities with resistant bacteria.(8) Analyse the human health risks based on the predictions of the combined model and the experimental study in (4) and other information. The risk analysis will include the level of uncertainty in those risks and will contribute to the development of international environmental standards.These will be the two main outcomes to improve human, animal and environmental health, specifically (i) quantitative evidence for resistance (co)selection and transfer under in situ conditions in a more and less polluted river system and (ii) a truly novel combined AMR dynamics and transport modelling framework that can be used globally as a tool to track AMRflows.