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
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
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DOI：
10.1186/s12917-019-1864-2
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发表时间：
2019-05-06
影响因子：
2.6
通讯作者：
Reimschuessel, Renate
中科院分区：
文献类型：
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作者：
Ceric, Olgica;Tyson, Gregory H.;Reimschuessel, Renate
背景细菌病原体的抗菌素耐药性（AMR）是一个新兴的公共卫生威胁。这种威胁延伸到了宠物，因为它也损害了我们治疗宠物感染的能力。美国的监测项目传统上侧重于收集食用动物、食品和人类的数据。兽医实验室调查和响应网络 (Vet-LIRN) 是一个由 45 个兽医诊断实验室组成的国家网络，测试了来自动物的临床相关细菌分离株的抗菌敏感性，并首次在监测计划中纳入了伴侣动物物种。 2017年，我们系统地收集并检测了1968株分离株。为了确定与 AMR 相关的遗传决定因素以及动物和人类菌株的潜在遗传相关性，对 192 个分离株进行了全基因组测序 (WGS)：69 个肠沙门氏菌（所有动物来源）、63 个大肠杆菌（狗）和 60 个假中间葡萄球菌（狗）。结果我们发现大多数沙门氏菌分离株（46/69，67%）没有已知的抗性基因。然而，一些来自食品和伴侣动物的分离株显示出与人类分离株的遗传相关性。对于致病性大肠杆菌，60% (38/63) 的分离株未发现抗性基因。观察到多种耐药模式，其中一种分离株预测对氟喹诺酮类和头孢菌素（人类和兽医中的重要抗生素）具有耐药性。对于 S. pseudintermedius，我们观察到耐药基因的双峰分布，一些分离株具有多种耐药机制，包括 mecA 基因 (19/60, 32%)。 结论 这项研究的结果强调了兽医诊断实验室数据作为任何国家抗菌药物耐药性监测计划的一部分的至关重要性。从伴侣动物身上发现的一些高度耐药的细菌，以及对与从人类身上分离出来的细菌相关的分离株的观察，证明了将伴侣动物数据纳入监测系统的公共卫生意义。 Vet-LIRN 将继续建设基础设施，以收集监测耐药细菌所需的数据，作为履行其促进人类和动物健康使命的一部分。抗菌素耐药性监测计划的“同一个健康”方法至关重要，必须包括来自人类、动物和环境来源的数据才能有效。
BackgroundAntimicrobial resistance (AMR) of bacterial pathogens is an emerging public health threat. This threat extends to pets as it also compromises our ability to treat their infections. Surveillance programs in the United States have traditionally focused on collecting data from food animals, foods, and people. The Veterinary Laboratory Investigation and Response Network (Vet-LIRN), a national network of 45 veterinary diagnostic laboratories, tested the antimicrobial susceptibility of clinically relevant bacterial isolates from animals, with companion animal species represented for the first time in a monitoring program. During 2017, we systematically collected and tested 1968 isolates. To identify genetic determinants associated with AMR and the potential genetic relatedness of animal and human strains, whole genome sequencing (WGS) was performed on 192 isolates: 69Salmonella enterica (all animal sources), 63 Escherichia coli (dogs), and 60Staphylococcus pseudintermedius (dogs).ResultsWe found that most Salmonella isolates (46/69, 67%) had no known resistance genes. Several isolates from both food and companion animals, however, showed genetic relatedness to isolates from humans. For pathogenic E. coli, no resistance genes were identified in 60% (38/63) of the isolates. Diverse resistance patterns were observed, and one of the isolates had predicted resistance to fluoroquinolones and cephalosporins, important antibiotics in human and veterinary medicine. For S. pseudintermedius, we observed a bimodal distribution of resistance genes, with some isolates having a diverse array of resistance mechanisms, including the mecA gene (19/60, 32%).ConclusionThe findings from this study highlight the critical importance of veterinary diagnostic laboratory data as part of any national antimicrobial resistance surveillance program. The finding of some highly resistant bacteria from companion animals, and the observation of isolates related to those isolated from humans demonstrates the public health significance of incorporating companion animal data into surveillance systems. Vet-LIRN will continue to build the infrastructure to collect the data necessary to perform surveillance of resistant bacteria as part of fulfilling its mission to advance human and animal health. A One Health approach to AMR surveillance programs is crucial and must include data from humans, animals, and environmental sources to be effective.