• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

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

抗菌药物耐药性的溯源与风险评估。

Source Attribution and Risk Assessment of Antimicrobial Resistance.

机构信息

Risk Benefit Research Group, Division of Diet, Disease Prevention and Toxicology, National Food Institute, Technical University of Denmark, 2800 Kgs. Lyngby.

Unit for Genomic Epidemiology, National Food Institute, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.

出版信息

Microbiol Spectr. 2018 May;6(3). doi: 10.1128/microbiolspec.ARBA-0027-2017.

DOI:10.1128/microbiolspec.ARBA-0027-2017
PMID:29916343
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11633588/
Abstract

Source attribution and microbial risk assessment methods have been widely applied for the control of several foodborne pathogens worldwide by identifying (i) the most important pathogen sources and (ii) the risk represented by specific foods and the critical points in these foods' production chains for microbial control. Such evidence has proved crucial for risk managers to identify and prioritize effective food safety and public health strategies. In the context of antimicrobial resistance (AMR) from livestock and pets, the utility of these methods is recognized, but a number of challenges have largely prevented their application and routine use. One key challenge has been to define the hazard in question: Is it the antimicrobial drug use in animals, the antimicrobial-resistant bacteria in animals and foods, or the antimicrobial resistance genes that can be transferred between commensal and pathogenic bacteria in the animal or human gut or in the environment? Other important limitations include the lack of occurrence and transmission data and the lack of evidence to inform dose-response relationships. We present the main principles, available methods, strengths, and weaknesses of source attribution and risk assessment methods, discuss their utility to identify sources and estimate risks of AMR from livestock and pets, and provide an overview of conducted studies. In addition, we discuss remaining challenges and current and future opportunities to improve methods and knowledge of the sources and transmission routes of AMR from animals through food, direct contact, or the environment, including improvements in surveillance and developments in genotypic typing methods.

摘要

源归因和微生物风险评估方法已被广泛应用于控制世界范围内的几种食源性致病菌,方法是识别 (i) 最重要的病原体来源和 (ii) 特定食品所代表的风险以及这些食品生产链中的微生物控制关键点。这些证据对于风险管理者确定和优先考虑有效的食品安全和公共卫生策略至关重要。在来自牲畜和宠物的抗微生物药物耐药性 (AMR) 的背景下,这些方法的实用性已得到认可,但许多挑战在很大程度上阻止了它们的应用和常规使用。一个关键挑战是定义相关危害:是动物中使用的抗菌药物、动物和食品中的抗微生物耐药细菌,还是可以在动物或人类肠道或环境中的共生菌和病原菌之间转移的抗微生物耐药基因?其他重要限制包括缺乏发生和传播数据以及缺乏信息来告知剂量反应关系。我们介绍了源归因和风险评估方法的主要原则、可用方法、优势和劣势,讨论了它们在识别牲畜和宠物的 AMR 来源和估计风险方面的实用性,并概述了已进行的研究。此外,我们还讨论了剩余的挑战以及当前和未来的机会,以改进通过食物、直接接触或环境从动物传播 AMR 的来源和传播途径的方法和知识,包括改进监测和发展基因分型方法。

相似文献

1
Source Attribution and Risk Assessment of Antimicrobial Resistance.抗菌药物耐药性的溯源与风险评估。
Microbiol Spectr. 2018 May;6(3). doi: 10.1128/microbiolspec.ARBA-0027-2017.
2
Control of the development and prevalence of antimicrobial resistance in bacteria of food animal origin in Japan: a new approach for risk management of antimicrobial veterinary medicinal products in Japan.日本食品动物源细菌中抗菌药物耐药性的发展与流行控制:日本抗菌兽药风险管理的新方法
Foodborne Pathog Dis. 2014 Mar;11(3):171-6. doi: 10.1089/fpd.2013.1649. Epub 2014 Jan 4.
3
Facing Foodborne Pathogen Biofilms with Green Antimicrobial Agents: One Health Approach.用绿色抗菌剂应对食源性病原体生物膜:一体化健康方法
Molecules. 2025 Apr 9;30(8):1682. doi: 10.3390/molecules30081682.
4
Antibiotic resistance in bacteria associated with food animals: a United States perspective of livestock production.与食用动物相关的细菌中的抗生素耐药性:美国对畜牧生产的看法。
Foodborne Pathog Dis. 2007 Summer;4(2):115-33. doi: 10.1089/fpd.2006.0066.
5
Future challenges to microbial food safety.未来微生物食品安全的挑战。
Int J Food Microbiol. 2010 May 30;139 Suppl 1:S79-94. doi: 10.1016/j.ijfoodmicro.2009.10.015. Epub 2009 Oct 23.
6
Assessing the applicability of currently available methods for attributing foodborne disease to sources, including food and food commodities.评估目前可用于归因于食源性病原体的方法的适用性,包括食品和食品商品。
Foodborne Pathog Dis. 2013 Mar;10(3):206-13. doi: 10.1089/fpd.2012.1134.
7
Enhancing the one health initiative by using whole genome sequencing to monitor antimicrobial resistance of animal pathogens: Vet-LIRN collaborative project with veterinary diagnostic laboratories in United States and Canada.通过使用全基因组测序监测动物病原体的抗菌药物耐药性来加强“同一健康”倡议:与美国和加拿大兽医诊断实验室的兽医实验室改进研究网络(Vet-LIRN)合作项目
BMC Vet Res. 2019 May 6;15(1):130. doi: 10.1186/s12917-019-1864-2.
8
Surveillance of Food and Waterborne Pathogens in North-East India: Protocol for a Laboratory-Based Sentinel Surveillance Study.东北印度食源性和水源性致病菌监测:基于实验室的哨点监测研究方案。
JMIR Res Protoc. 2024 Oct 21;13:e56469. doi: 10.2196/56469.
9
Antimicrobial drug use in food-producing animals and associated human health risks: what, and how strong, is the evidence?食用动物中抗菌药物的使用及相关的人类健康风险:证据是什么,有多确凿?
BMC Vet Res. 2017 Jul 4;13(1):211. doi: 10.1186/s12917-017-1131-3.
10
Review of antimicrobial resistance surveillance programmes in livestock and meat in EU with focus on humans.欧盟中动物及动物源性食品相关抗菌药物耐药性监测计划综述,重点关注人类。
Clin Microbiol Infect. 2018 Jun;24(6):577-590. doi: 10.1016/j.cmi.2017.09.013. Epub 2017 Sep 29.

引用本文的文献

1
The food-associated resistome is shaped by processing and production environments.与食物相关的耐药基因组受加工和生产环境的影响。
Nat Microbiol. 2025 Aug;10(8):1854-1867. doi: 10.1038/s41564-025-02059-8. Epub 2025 Jul 30.
2
Quantifying national burdens of foodborne disease-Four imperatives for global impact.量化食源性疾病的国家负担——对全球产生影响的四项当务之急。
PLOS Glob Public Health. 2025 Apr 9;5(4):e0004309. doi: 10.1371/journal.pgph.0004309. eCollection 2025.
3
Companions in antimicrobial resistance: examining transmission of common antimicrobial-resistant organisms between people and their dogs, cats, and horses.抗菌药物耐药性的伙伴关系:研究常见抗菌药物耐药菌在人与他们的狗、猫和马之间的传播情况。
Clin Microbiol Rev. 2025 Mar 13;38(1):e0014622. doi: 10.1128/cmr.00146-22. Epub 2025 Jan 24.
4
Vancomycin-resistant Enterococcus prevalence and its association along the food chain: a systematic review and meta-analysis.耐万古霉素肠球菌的流行情况及其在食物链中的关联:一项系统评价和荟萃分析。
J Antimicrob Chemother. 2025 Apr 2;80(4):908-918. doi: 10.1093/jac/dkaf008.
5
Using priorities between human and livestock bacterial antimicrobial resistance (AMR) to identify data gaps in livestock AMR surveillance.利用人与牲畜细菌抗药性(AMR)之间的优先级,来确定牲畜 AMR 监测中的数据差距。
BMC Infect Dis. 2024 Sep 26;24(1):1027. doi: 10.1186/s12879-024-09847-3.
6
Antibiotic Use Characteristics and Patterns in Humans and Poultry in Wakiso District, Uganda.乌干达瓦基索地区人类和家禽的抗生素使用特点和模式。
Am J Trop Med Hyg. 2024 Sep 3;111(5):1138-1141. doi: 10.4269/ajtmh.24-0227. Print 2024 Nov 6.
7
Water, Water Everywhere, but Every Drop Unique: Challenges in the Science to Understand the Role of Contaminants of Emerging Concern in the Management of Drinking Water Supplies.水无处不在,但每一滴水都独一无二:理解新兴关注污染物在饮用水供应管理中作用的科学挑战。
Geohealth. 2023 Dec 28;7(12):e2022GH000716. doi: 10.1029/2022GH000716. eCollection 2023 Dec.
8
Is scientific evidence enough? Using expert opinion to fill gaps in data in antimicrobial resistance research.科学证据是否足够?利用专家意见填补抗菌药物耐药性研究中数据的空白。
PLoS One. 2023 Aug 24;18(8):e0290464. doi: 10.1371/journal.pone.0290464. eCollection 2023.
9
Animal sources of antimicrobial-resistant bacterial infections in humans: a systematic review.人类中抗微生物药物耐药细菌感染的动物来源:系统综述。
Epidemiol Infect. 2023 Aug 14;151:e143. doi: 10.1017/S0950268823001309.
10
A Scoping Review of Antimicrobial Usage and Antimicrobial Resistance in Beef Cow-Calf Herds in the United States and Canada.美国和加拿大肉牛犊牛群抗菌药物使用与抗菌药物耐药性的范围综述
Antibiotics (Basel). 2023 Jul 12;12(7):1177. doi: 10.3390/antibiotics12071177.

本文引用的文献

1
Risk Factors and Molecular Features of Sequence Type (ST) 131 Extended-spectrum β-Lactamase-producing Escherichia coli in Community-onset Bacteremia.社区获得性血流感染中产 ESBL 大肠埃希菌 ST131 型的危险因素和分子特征。
Sci Rep. 2017 Nov 7;7(1):14640. doi: 10.1038/s41598-017-14621-4.
2
Prevalence, risk factors and antimicrobial resistance of Salmonella diarrhoeal infection among children in Thi-Qar Governorate, Iraq.伊拉克济加尔省儿童沙门氏菌腹泻感染的患病率、危险因素及抗菌药物耐药性
Epidemiol Infect. 2017 Dec;145(16):3486-3496. doi: 10.1017/S0950268817002400. Epub 2017 Nov 6.
3
Next generation of microbiological risk assessment: Potential of omics data for exposure assessment.下一代微生物风险评估:组学数据在暴露评估中的潜力。
Int J Food Microbiol. 2018 Dec 20;287:18-27. doi: 10.1016/j.ijfoodmicro.2017.10.006. Epub 2017 Oct 4.
4
Risk Ranking of Antimicrobial-Resistant Hazards Found in Meat in Switzerland.瑞士肉类中发现的抗微生物药物耐药性危害风险排序。
Risk Anal. 2018 May;38(5):1070-1084. doi: 10.1111/risa.12901. Epub 2017 Oct 3.
5
Attribution of human infections with Shiga toxin-producing Escherichia coli (STEC) to livestock sources and identification of source-specific risk factors, The Netherlands (2010-2014).荷兰(2010 - 2014年)产志贺毒素大肠杆菌(STEC)所致人类感染的家畜源归因及特定来源风险因素的识别
Zoonoses Public Health. 2018 Feb;65(1):e8-e22. doi: 10.1111/zph.12403. Epub 2017 Sep 17.
6
A probabilistic approach to assess antibiotic resistance development risks in environmental compartments and its application to an intensive aquaculture production scenario.一种评估环境介质中抗生素耐药性发展风险的概率方法及其在集约化水产养殖生产场景中的应用。
Environ Pollut. 2017 Dec;231(Pt 1):918-928. doi: 10.1016/j.envpol.2017.08.079. Epub 2017 Sep 25.
7
PulseNet International: Vision for the implementation of whole genome sequencing (WGS) for global food-borne disease surveillance.国际脉冲网络:关于实施全基因组测序用于全球食源性疾病监测的愿景。
Euro Surveill. 2017 Jun 8;22(23). doi: 10.2807/1560-7917.ES.2017.22.23.30544.
8
Assessment of the Risk to Public Health due to Use of Antimicrobials in Pigs-An Example of Pleuromutilins in Denmark.猪使用抗菌药物对公众健康的风险评估——以丹麦截短侧耳素类药物为例
Front Vet Sci. 2017 May 26;4:74. doi: 10.3389/fvets.2017.00074. eCollection 2017.
9
Comparative Exposure Assessment of ESBL-Producing Escherichia coli through Meat Consumption.通过肉类消费对产超广谱β-内酰胺酶大肠杆菌进行的比较暴露评估。
PLoS One. 2017 Jan 5;12(1):e0169589. doi: 10.1371/journal.pone.0169589. eCollection 2017.
10
Assessing the Risk of Antibiotic Resistance Transmission from the Environment to Humans: Non-Direct Proportionality between Abundance and Risk.评估环境向人类传播抗生素耐药性的风险:丰度与风险之间非直接比例关系。
Trends Microbiol. 2017 Mar;25(3):173-181. doi: 10.1016/j.tim.2016.11.014. Epub 2016 Dec 21.