[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2026":3},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":23,"tags":25,"view_count":31,"doi":32,"paper":33,"created_at":47},2026,"Antimicrobial use and antimicrobial resistance (AMR) in aquaculture: a One Health evidence-chain review of the “use–environment–food–human” continuum","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1801220","Background Antimicrobial resistance (AMR) is a major global challenge to public health and sustainable development. Its emergence and spread are shaped by antimicrobial use (AMU) in human healthcare and animal production, including aquaculture, and by environmental pathways. The One Health framework emphasizes the interdependence of human, animal, and ecosystem health and supports integrated assessment of AMR risk and coordinated mitigation. Objective Within a One Health framework, this review synthesizes evidence linking AMU in aquaculture to AMR and maps the transmission continuum from on-farm use → aquatic environments → aquatic products and processing → human exposure and health risks, highlighting actionable mitigation strategies and research priorities. Methods We conducted an evidence-chain systematic mapping review following PRISMA 2020 guidance. PubMed, Web of Science Core Collection, and Scopus were searched, alongside relevant grey literature from WHO, FAO, and WOAH websites, for studies published between 1 January 2000 and 31 January 2026. Eligible records addressed AMU in aquaculture and\u002For AMR\u002Fantimicrobial resistance genes (ARGs) across the use–environment–food–human continuum. Two reviewers independently screened titles\u002Fabstracts and full texts using predefined criteria. Study quality was assessed with design-appropriate checklists, and findings were synthesized by production system, environmental compartment, food-chain stage, and human exposure pathway. Results AMU in aquaculture can select for resistant bacteria and enrich ARGs within farms. Resistance determinants may spread to surrounding waters and sediments via effluents, sediment disturbance, and the movement of personnel and equipment. In environmental compartments, co-occurrence of ARGs with mobile genetic elements (MGEs) may facilitate horizontal gene transfer, contributing to an environmental resistome. Aquatic products and processing steps can act as vehicles for resistant bacteria\u002FARGs, while human exposure may occur through food handling and consumption, occupational contact, and environment-related routes. Conclusion The AMU–AMR nexus in aquaculture shows typical One Health characteristics. Effective governance should combine: (1) reducing unnecessary AMU, (2) strengthening prevention and biosecurity, (3) harmonizing AMU\u002FAMR surveillance, (4) improving effluent and discharge management, and (5) enhancing hygiene along the food chain and risk communication. Future research should prioritize quantitative attribution, standardized cross-sector monitoring, and integrative synthesis linking molecular AMR indicators to human health outcomes.","背景 抗菌药物耐药性（AMR）是公共卫生和可持续发展面临的重大全球性挑战。其产生和传播受到人类医疗保健和动物生产（包括水产养殖）中抗菌药物使用（AMU）以及环境途径的影响。“同一健康”（One Health）框架强调人类、动物和生态系统健康的相互依存关系，支持对AMR风险进行综合评估和协调减缓。目的 在“同一健康”框架下，本综述综合了水产养殖中AMU与AMR相关联的证据，并绘制了从养殖场使用→水生环境→水产品及加工→人类暴露与健康风险的传播连续谱，重点阐述了可操作的减缓策略和研究优先事项。方法 我们遵循PRISMA 2020指南开展了一项证据链系统映射综述。检索了PubMed、Web of Science核心合集和Scopus，以及WHO、FAO和WOAH网站的相关灰色文献，纳入2000年1月1日至2026年1月31日发表的研究。符合条件的文献涉及水产养殖中的AMU和\u002F或AMR\u002F抗菌药物耐药基因（ARGs）在使用—环境—食品—人类连续谱中的相关问题。两名评审员依据预设标准独立筛选标题\u002F摘要和全文。采用与设计相适应的清单评估研究质量，并按生产系统、环境介质、食物链环节和人类暴露途径对研究结果进行综合。结果 水产养殖中的AMU可选择性富集耐药细菌并增加养殖场内ARGs的丰度。耐药决定因子可通过废水排放、沉积物扰动以及人员和设备的流动传播至周边水体和沉积物。在环境介质中，ARGs与可移动遗传元件（MGEs）的共现可能促进水平基因转移，从而促成环境耐药组（resistome）的形成。水产品及加工环节可作为耐药细菌\u002FARGs的传播载体，而人类暴露可能通过食品处理和消费、职业接触以及与环境相关的途径发生。结论 水产养殖中的AMU–AMR关系呈现出典型的“同一健康”特征。有效治理应结合以下方面：(1) 减少不必要的AMU；(2) 加强预防和生物安全；(3) 统一AMU\u002FAMR监测；(4) 改善废水和排放管理；(5) 加强食物链沿线的卫生管理和风险沟通。未来研究应",null,"Frontiers in Sustainable Food Systems","2026-09-09T00:00:00Z","论文",10,false,81,{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":22},18,22,14,9,1,"以One Health证据链系统梳理水产养殖抗菌药使用到人类健康的传播路径，方法规范、结论具治理指向，对水产绿色养殖与食品安全监管有参考价值。",[24],{"name":10,"url":6},[26,27,28,29,30],"水产养殖","食品安全","环境治理","抗生素耐药","One Health",0,"10.3389\u002Ffsufs.2026.1801220",{"doi":32,"openalex_id":34,"authors":35,"venue":10,"cited_by_count":21,"oa_url":6,"card":40,"direction":44,"ingested_from":46},"W7211999607",[36,38],{"name":37,"orcid":9},"Lingfu Kong",{"name":39,"orcid":9},"Guangzhen Jiang",{"tldr":41,"method":42,"finding":43,"direction":44,"opportunity":45},"系统综述水产养殖抗菌药使用与耐药性沿“使用—环境—食品—人”链的传播证据。","遵循PRISMA 2020的证据链系统映射综述，检索三大数据库及WHO\u002FFAO\u002F","养殖用药可筛选耐药菌并富集ARGs，经废水、沉积物和食品链传播至人，呈典型One Health特征。","农业绿色发展与碳","可延伸至水产养殖耐药基因环境扩散的定量风险评估与减排干预效果研究。","openalex","2026-09-10T23:30:07.044846Z"]