Tracking Antimicrobial Resistance Along the Meat Chain: One Health Context

IF 5.3 2区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Food Reviews International Pub Date : 2023-11-09 DOI:10.1080/87559129.2023.2279590
Ivan Nastasijevic, Francesco Proscia, Karlo Jurica, Slavica Veskovic-Moracanin
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The monitoring and surveillance systems for AMR in meat chain are presented and briefly discussed, including sampling schemes, susceptibility testing, clinical resistance and epidemiological cut-off values. The most effective approaches to track and manage AMR in farm-abattoir-meat processing-retail continuum have been recommended, including aspects of international harmonization of critically important antimicrobials for human and veterinary use. The successful AMR monitoring and control in the meat chain can be achieved by evidence-based and integrated approach within One Health context. The application of state-of-the-art technologies and methods for detection and tracking of zoonotic food borne pathogens and AMR, such as Whole Genome Sequencing supported with data processing using Artificial Intelligence (machine learning), can contribute to achieving this goal.KEYWORDS: AMRmeat chainfood bornerisk mitigationone health Disclosure statementNo potential conflict of interest was reported by the author(s).Author contributionsIN had a role in conceptualization, methodology, data acquisition and analysis, writing original draft, supervision, validation and writing review, editing and providing a critical review; FP participated in data acquisition, writing original draft and validation; KJ contributed in data acquisition and analysis, writing original draft; SVM contributed in data acquisition and analysis, writing original draft, validation and writing review.List of abbreviations AI=Artificial IntelligenceAMR=Antimicrobial resistanceAMU=Antimicrobial useARG=Antimicrobial resistance genesAST=Antimicrobial susceptibility testingCA=Competent AuthorityCAB Abstracts=Applied life sciences bibliographic databaseCAC=Codex Alimentarius ComissionCCRVDF=Codex Alimentarius Committee on Residues of Veterinary Drugs in FoodsCDC=US Centers for Disease Control and PreventionCIA=Food and Agriculture Organization list of Critically Important AntibioticsCIPARS=Canadian Integrated Program for Antimicrobial Resistance SurveillanceCJWZ=FAO/WHO Centre for Zoonotic Diseases and AMRCPME=Standing Committee of European DoctorsDANMAP=Danish Integrated Antimicrobial Resistance Monitoring and Research ProgramEARS-Net=European Antimicrobial Resistance Surveillance NetworkEBSCO=Elton B. 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引用次数: 0

Abstract

ABSTRACTFood-borne pathogens and antimicrobial resistance (AMR) represent the significant public health challenges in the 21st century. Increased emergence of AMR in major zoonotic food-borne pathogens (Salmonella, Campylobacter) and in commensal bacteria (E. coli, enterococci), its presence in agro-food (meat) chain and environment, including control/prevention of AMR transfer from food-producing animals to humans via food consumption, is of utmost importance for public health. This review highlights the most relevant risk mitigation strategies for AMR in the meat production chain within One Health context. The monitoring and surveillance systems for AMR in meat chain are presented and briefly discussed, including sampling schemes, susceptibility testing, clinical resistance and epidemiological cut-off values. The most effective approaches to track and manage AMR in farm-abattoir-meat processing-retail continuum have been recommended, including aspects of international harmonization of critically important antimicrobials for human and veterinary use. The successful AMR monitoring and control in the meat chain can be achieved by evidence-based and integrated approach within One Health context. The application of state-of-the-art technologies and methods for detection and tracking of zoonotic food borne pathogens and AMR, such as Whole Genome Sequencing supported with data processing using Artificial Intelligence (machine learning), can contribute to achieving this goal.KEYWORDS: AMRmeat chainfood bornerisk mitigationone health Disclosure statementNo potential conflict of interest was reported by the author(s).Author contributionsIN had a role in conceptualization, methodology, data acquisition and analysis, writing original draft, supervision, validation and writing review, editing and providing a critical review; FP participated in data acquisition, writing original draft and validation; KJ contributed in data acquisition and analysis, writing original draft; SVM contributed in data acquisition and analysis, writing original draft, validation and writing review.List of abbreviations AI=Artificial IntelligenceAMR=Antimicrobial resistanceAMU=Antimicrobial useARG=Antimicrobial resistance genesAST=Antimicrobial susceptibility testingCA=Competent AuthorityCAB Abstracts=Applied life sciences bibliographic databaseCAC=Codex Alimentarius ComissionCCRVDF=Codex Alimentarius Committee on Residues of Veterinary Drugs in FoodsCDC=US Centers for Disease Control and PreventionCIA=Food and Agriculture Organization list of Critically Important AntibioticsCIPARS=Canadian Integrated Program for Antimicrobial Resistance SurveillanceCJWZ=FAO/WHO Centre for Zoonotic Diseases and AMRCPME=Standing Committee of European DoctorsDANMAP=Danish Integrated Antimicrobial Resistance Monitoring and Research ProgramEARS-Net=European Antimicrobial Resistance Surveillance NetworkEBSCO=Elton B. Stephens Company – information services/scientific databasesEC=European CommissionECOFFs=Epidemiological cut off valuesECDC=European Centre for Disease ControlEFSA=European Food Safety AuthorityEFSA BIOHAZ=European Food Safety Agency Biological Hazards PanelEMA=European Medicine AgencyEPRUMA=European Platform for the Responsible Use of Medicines in AnimalsESBL=Extended-spectrum β-lactamase-producing Escherichia coliESVAC=The European Surveillance of Veterinary Antimicrobial ConsumptionEU/EEA=European Union/European Economic AreaEUCAST=European Committee on Antimicrobial Resistance TestingEURL-AR=EU Reference Laboratory for antimicrobial resistanceFAO=UN World Health OrganizationFAO AMR=Food and Agriculture Organization Antimicrobial Resistance Action PlanFAO RENOFARM=FAO initiative to Reduce the Need for Antimicrobials on FarmsFBO=Food business operatorFDA=US Food and Drug AdministrationFVE=Federation of Veterinarians of EuropeGAP-AMR=WHO Global Action Plan on AMRGHP=Good Hygiene PracticeGLASS=WHO Global Antimicrobial Resistance Surveillance SystemGMP=Good Manufacturing PracticeGRAS=Generally Recognized as SafeHACCP=Hazard Analysis and Critical Control PointsHIH=FAO `Hand-in-Hand` Initiative to accelerate agrifood systems transformations by eradicating poverty (SDG1), ending hunger and malnutrition (SDG2), and reducing inequalities (SDG10)HDI=UN Human Development IndexIACG=UN Interagency coordination groupIZD=Inhibition zone diametersLAB=Lactic Acid BacteriaMARAN=Monitoring of Antimicrobial Resistance and Antibiotic Usage in Animals in the NetherlandsMIC=Minimum inhibitory concentrationMRSA=Methicillin-resistant Staphylococcus aureusMSs=EU Member StatesNARMS=US National Antimicrobial Resistance Monitoring SystemNCP=National Control ProgrammeNETHMAP=Consumption of Antimicrobial Agents and Antimicrobial Resistance among Medically Important Bacteria in the NetherlandsNORM-Vet=Usage of Antimicrobial Agents and Occurrence of Antimicrobial Resistance in NorwayOH=One Health approachOHHLEP=FAO/WHO/UNEP/WOAH One Health High-Level Expert PanelPCU=Population Correction UnitSRS=Simple random samplingQPS=Qualified Presumption of SafetyRESAPATH=French surveillance network for antimicrobial resistance in pathogenic bacteria of animal originRONAFA=EMA and EFSA joint scientific opinion on measures to reduce the need to use antimicrobial agents in animal husbandry in the EU and the resulting impacts on food safetyRTE=Ready-To-EatSARS-CoV2=Severe Acute Respiratory Syndrome Coronavirus 2Scopus=Elsevier‘s abstract and citation databaseSDGs=UN Sustainable Development GoalsSDG1=Sustainable Development Goal 1: Eradicating povertySDG2=Sustainable Development Goal 2: Ending hunger and malnutritionSDG10=Sustainable Development Goal 10: Reducing inequalitiesSVARM=Swedish Veterinary Antimicrobial Resistance MonitoringSWEDRES=Swedish Antibiotic Utilisation and Resistance in Human MedicineUNEP=UN Environment ProgrammeUSDA=United States Department of AgricultureVCIA=Veterinary Critically Important Antimicrobial AgentsVHIA=Veterinary Highly Important Antimicrobial AgentsVIA=Veterinary Important Antimicrobial AgentsVMPs=Veterinary medicinal productsWeb of Science=Platform for access to multiple databases that provide reference and citation data from academic journals, conference proceedings, academic disciplinesWGS=Whole Genome SequencingWHO=UN World Health OrganizationWOAH (OIE)=World Organisation for Animal Health, founded as `Office International des Épizooties` (OIE) in 1924.Additional informationFundingThis work is supported by the Ministry of Science, Technological Development and Innovations of Republic of Serbia, with reference to the Contract on realization and financing scientific and research work of Scientific Research Organization in 2023., number: 451-03-47/2023-01/200050 from February 3rd 2023.
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沿着肉类链追踪抗菌素耐药性:一个健康背景
斯蒂芬斯公司-信息服务/科学数据库esec =欧盟委员会ecoffs =流行病学临界值ecdc =欧洲疾病控制中心欧洲食品安全局BIOHAZ=欧洲食品安全局生物危害PanelEMA=欧洲药品管理局pruma =欧洲动物药物负责任使用平台扩展谱β-内酰胺酶产生大肠杆菌esvac =欧洲兽医抗菌药物监测消费EU/EEA=欧洲联盟/欧洲经济区域ucast =欧洲抗菌素耐药性测试委员会eurl - ar =欧盟抗菌素耐药性参考实验室FAO=联合国世界卫生组织FAO抗菌素耐药性行动计划FAO - RENOFARM=粮农组织减少农场对抗菌素需求的倡议fbo =食品企业经营者fda =美国食品和药物管理局fve =欧洲兽医联合会gap -AMR=世卫组织抗微生物药物全球行动计划良好卫生规范世卫组织全球抗微生物药物耐药性监测系统良好生产规范公认安全haccp危害分析和关键控制点粮农组织通过消除贫困(可持续发展目标g1)、消除饥饿和营养不良(可持续发展目标g2)加速农业粮食系统转型的“手拉手”倡议和减少不平等(SDG10)HDI=联合国人类发展指数xig =联合国机构间协调小组pizd =抑制区直径slab =乳酸菌amaran =荷兰动物抗微生物药物耐药性和抗生素使用监测smic =最低抑制浓度mrsa =耐甲氧西林金黄色葡萄球菌mss =欧盟成员国narms =美国国家抗微生物药物耐药性监测系统ncp =国家控制规划ethmap =抗菌药物消费和荷兰医学上重要细菌的抗菌素耐药性normo - vet =挪威抗菌素使用情况和耐药性发生情况oh =一种卫生方法hhlep =FAO/WHO/UNEP/WOAH一种卫生高级别专家组pcu =人口修正单位srs =简单随机抽样qps =安全合格推定resapath =法国动物源性致病菌耐药性监测网络afa =EMA和EFSA联合科学意见减少欧盟畜牧业中使用抗菌药物的需求的措施及其对食品安全的影响rte =即食sars - cov2 =严重急性呼吸系统综合征冠状病毒2 scopus =爱思唯尔的摘要和引文数据库esgs =联合国可持续发展目标ssdg1 =可持续发展目标1:消除贫困ysdg2 =可持续发展目标2:消除饥饿和营养不良sdg10 =可持续发展目标10:减少不平等varm =瑞典兽医抗菌素耐药性监测swedres =瑞典抗生素在人类药物中的利用和耐药性unep =联合国环境规划署usda =美国农业部revcia =兽医极其重要的抗菌素机构svhia =兽医高度重要的抗菌素机构svmps =兽医药品科学网=访问提供参考和引用学术期刊、会议记录、学术学科wgs =全基因组测序who =联合国世界卫生组织woah (OIE)=世界动物卫生组织,成立于1924年,前身为“国际办公室Épizooties”(OIE)。本工作由塞尔维亚共和国科学、技术发展和创新部支持,参考《2023年科研组织科研工作实现和资助合同》。,编号:451-03-47/2023-01/200050,自2023年2月3日起生效。
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来源期刊
Food Reviews International
Food Reviews International 工程技术-食品科技
CiteScore
11.50
自引率
1.70%
发文量
127
审稿时长
>24 weeks
期刊介绍: Food Reviews International presents state-of-the-art reviews concerned with food production, processing, acceptability, and nutritional values—examining the relationship of food and nutrition to health, as well as the differing problems affecting both affluent and developing nations. Offering technical solutions to critical global food dilemmas and shortages, Food Reviews International contains articles of interest for: •food scientists and technologists •food and cereal chemists •chemical engineers •agriculturists •microbiologists •toxicologists •nutritionists
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