Selection and Transmission of Antimicrobial Resistance in Complex Systems

复杂系统中抗菌素耐药性的选择和传播

• 批准号: MR/R000093/1
• 负责人: Mark Woolhouse
• 金额: $ 38.84万
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=MR%2FR000093%2F1
• 关键词: Selection; Transmission; Antimicrobial; Resistance; Complex

Selection and transmission are key determinants for the dissemination of antimicrobial resistance (AMR) across the planet. These determinants of AMR are frequently studied in laboratory settings while in reality they occur in complex systems, e.g. in microbial communities that colonize human and animal guts or in environmental ecosystems. The central aim of STARCS (Selection and transmission of Antimicrobial Resistance in Complex Systems) is to characterize and quantify the processes of selection and transmission of AMR genes and drug-resistant bacteria in complex (eco)systems from a 'One Health' perspective and to integrate these elements into predictive mathematical models, which will be used to inform policy development. STARCS will develop technological breakthroughs to assess selection and transmission dynamics on the level of the resistance gene, the mobile genetic element, the bacterium, the human-animal-environment interface and in clinical settings. This project will deliver important knowledge into selection and transmission of AMR, will provide the scientific community with novel tools to study selection and transfer of AMR in complex systems and will result in much-needed guidance towards policy decisions by international and national institutions. Ultimately the results from STARCS will form an evidence-based foundation for the development of new regulations, aimed at curbing the spread ofAMR.

选择和传播是抗菌素耐药性 (AMR) 在全球范围内传播的关键决定因素。这些 AMR 的决定因素经常在实验室环境中进行研究，而实际上它们发生在复杂的系统中，例如：在人类和动物肠道或环境生态系统中定殖的微生物群落中。 STARCS（复杂系统中抗菌素耐药性的选择和传播）的中心目标是从“同一个健康”的角度描述和量化复杂（生态）系统中 AMR 基因和耐药细菌的选择和传播过程，并将这些要素整合到预测数学模型中，该模型将用于为政策制定提供信息。 STARCS 将开发技术突破，以评估抗性基因、移动遗传元件、细菌、人类-动物-环境界面和临床环境水平上的选择和传播动态。该项目将为抗微生物药物耐药性的选择和传播提供重要知识，为科学界提供新的工具来研究复杂系统中抗微生物药物耐药性的选择和转移，并将为国际和国家机构的政策决策提供急需的指导。最终，STARCS 的结果将为制定旨在遏制抗菌素耐药性传播的新法规奠定循证基础。

项目成果

Are Food Animals Responsible for Transfer of Antimicrobial-Resistant Escherichia coli or Their Resistance Determinants to Human Populations? A Systematic Review.

• DOI: 10.1089/fpd.2017.2411
• 发表时间: 2018-08
• 期刊: Foodborne pathogens and disease
• 影响因子: 2.8
• 作者: Muloi D;Ward MJ;Pedersen AB;Fèvre EM;Woolhouse MEJ;van Bunnik BAD
• 通讯作者: van Bunnik BAD

Focussing on resistance to front-line drugs is the most effective way to combat the antimicrobial resistance crisis

关注一线药物耐药性是应对抗菌药物耐药性危机的最有效途径

• DOI: 10.1101/498329
• 发表时间: 2018
• 作者: Perry M

Additional file 1 of Genomic epidemiology of Escherichia coli: antimicrobial resistance through a One Health lens in sympatric humans, livestock and peri-domestic wildlife in Nairobi, Kenya

大肠杆菌基因组流行病学的附加文件 1：通过“同一个健康”视角观察肯尼亚内罗毕同域人类、牲畜和周边野生动物的抗菌素耐药性

• DOI: 10.6084/m9.figshare.22601623
• 发表时间: 2023
• 作者: Muloi D

Population genomics of Escherichia coli in livestock-keeping households across a rapidly developing urban landscape.

• DOI: 10.1038/s41564-022-01079-y
• 发表时间: 2022-04
• 期刊: Nature microbiology
• 影响因子: 28.3
• 作者: Muloi DM;Wee BA;McClean DMH;Ward MJ;Pankhurst L;Phan H;Ivens AC;Kivali V;Kiyong'a A;Ndinda C;Gitahi N;Ouko T;Hassell JM;Imboma T;Akoko J;Murungi MK;Njoroge SM;Muinde P;Nakamura Y;Alumasa L;Furmaga E;Kaitho T;Öhgren EM;Amanya F;Ogendo A;Wilson DJ;Bettridge JM;Kiiru J;Kyobutungi C;Tacoli C;Kang'ethe EK;Davila JD;Kariuki S;Robinson TP;Rushton J;Woolhouse MEJ;Fèvre EM
• 通讯作者: Fèvre EM

Modelling the impact of curtailing antibiotic usage in food animals on antibiotic resistance in humans.

• DOI: 10.1098/rsos.161067
• 发表时间: 2017-04
• 期刊: Royal Society open science
• 影响因子: 3.5
• 作者: van Bunnik BAD;Woolhouse MEJ
• 通讯作者: Woolhouse MEJ