Antimicrobial Resistance Monitoring of Bacterial Pathogens of Veterinary Concern

1项目概述：抗药性细菌感染影响动物健康和福利，但它们也 2有可能通过传播耐药性而对人类健康造成负面影响 3细菌或抗性基因通过食物或动物接触。公共类的使用 在人类和动物中使用的抗菌药增加了在人类中选择抗药性的可能性 5种动物物种可以影响人类，反之亦然。因此，监测动物的AMR具有 6不仅有助于减轻动物疾病，而且有助于减轻人类感染的可能性。 7协调全国兽医物种AMR监测重要细菌 兽医8大板块是近几年才出现的现象，存在很多数据空白。 9家兽医诊断实验室处于独特的地位，为抗菌素做出贡献 10通过获取临床相关细菌分离株和技术支持进行耐药性(AMR)监测 11具备实验室检测方面的专业知识。该项目通过对标准化做出贡献来解决这些差距 12开发全基因组测序方法，以确保敏感性和特异性为 13适合检测感兴趣的耐药性，改进生物信息学管道 具有为兽医诊断实验室量身定做的质量保证和质量控制标准 15并提供农业和伴生动物物种的AMR数据。每一年的资助都将 16涉及与兽医诊断来源实验室协调获取细菌 17株来自临床受影响的动物的菌株，包括沙门氏菌、大肠杆菌和 18假中间葡萄球菌和其他感兴趣的细菌，来自美国各地，表现 每季度进行19次全基因组测序，并评估是否存在 20个抗菌素耐药基因。数据将提供给FDA CVM Vet-LIRN进一步 21评估和未来的公众使用情况。 22 23

1 Project Summary: Resistant bacterial infections impact animal health and welfare, but they also 2 have potential for causing negative human health consequences through transmission of resistant 3 bacteria or resistance genes through food or animal contact. The use of common classes of 4 antimicrobials in humans and animals increases the likelihood that drug resistance selected for in 5 animal species could impact humans and vice versa. Therefore, monitoring AMR in animals has 6 the potential to contribute to mitigation not only disease in animals but human infections as well. 7 Coordinated nationwide AMR monitoring in veterinary species for bacteria of importance in 8 major sectors of veterinary medicine is has been a recent phenomenon, and many data gaps exist. 9 Veterinary diagnostic laboratories are uniquely positioned to contribute to antimicrobial 10 resistance (AMR) monitoring through access to clinically relevant bacterial isolates and technical 11 expertise in laboratory testing. This project addresses these gaps by contributing to standardized 12 method development for whole genome sequencing to ensure the sensitivity and specificity is 13 appropriate for detecting the resistance of interest, improvement of the bioinformatics pipeline 14 with quality assurance and quality control criteria tailored to the veterinary diagnostic laboratory 15 and provide AMR data in agricultural and companion animal species. Each year of funding will 16 involve coordination with veterinary diagnostic source laboratories for acquisition of bacterial 17 isolates derived from clinically affected animals, including Salmonella, E. coli and 18 Staphylococcus pseudintermedius and other bacteria of interest, from across the US, performance 19 of whole genome sequencing of on a quarterly basis, and evaluation for the presence of 20 antimicrobial resistance genes. The data will be provided to FDA CVM Vet-LIRN for further 21 evaluation and future public availability. 22 23