Pennsylvania Surveillance for Antimicrobial Resistant-enteric Bacteria in Retail Food

宾夕法尼亚州零售食品中抗菌药物耐药性肠道细菌的监测

• 批准号: 10700880
• 负责人: NKUCHIA MUGAMBI M'IKANATHA
• 金额: $ 18万
• 依托单位: PENNSYLVANIA STATE DEPT OF HEALTH
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10700880
• 关键词: Pennsylvania; Surveillance; Antimicrobial; Resistant; enteric

Pennsylvania Surveillance for Antimicrobial Resistant-enteric Bacteria in Retail Food Abstract Antimicrobial resistance in human pathogens from contaminated food products including Salmonella from poultry meat and Acinetobacter from shrimps is of great concern. Pennsylvania is motivated to participate in National Antimicrobial Monitoring System (NARMS) retail food surveillance for two reasons. First, the program will enable us to contribute to the FDA's regulatory oversight for antibiotics, which directly benefits our residents. Second, it will enable us to strengthen integrated surveillance for enteric bacteria by using whole genome sequencing to compare bacteria from food samples with bacteria isolated from patients. This comparison facilitates outbreak investigations, trace-back of contaminated products, and prioritization of interventions such as facility inspections by regulators. Analyses of integrated genomics data from food and human sources will also enhance surveillance for antimicrobial resistance in enteric bacteria. This project will result in better coordination and exchange of data and isolates with the FDA and expand high resolution detection of and response to emerging drug-resistant pathogens. improved timelines of the surveillance system. Additionally, our efforts will improve data quality and completeness of records and will support the use of NARMS findings to improve One Health antimicrobial stewardship in food production and healthcare settings.

宾夕法尼亚州对零售食品中耐药性肠道细菌的监测 摘要 来自受污染食品的人类病原体的耐药性， 禽肉中的沙门氏菌和虾中的不动杆菌是非常令人关注的。宾夕法尼亚 积极参与国家抗菌监测系统（NARMS）零售食品 监视有两个原因。首先，该计划将使我们能够为FDA的 对抗生素的监管，这直接使我们的居民受益。第二，它将使 美国利用全基因组测序加强对肠道细菌的综合监测 将食物样本中的细菌与从病人身上分离的细菌进行比较。该比较 促进疫情调查、受污染产品的追溯以及 监管机构进行设施检查等干预措施。综合基因组学数据分析 从食物和人类来源也将加强监测抗菌素耐药性， 肠道细菌该项目将导致更好的协调和交换数据和分离株 与FDA合作，扩大高分辨率检测和应对新出现的耐药 病原体改进监测系统的时间表。此外，我们的努力将 提高数据质量和记录的完整性，并将支持使用NARMS调查结果 改善One Health在食品生产和医疗保健环境中的抗菌管理。

项目成果

Salmonella enterica Serovar Typhimurium Isolates from Wild Birds in the United States Represent Distinct Lineages Defined by Bird Type.

• DOI: 10.1128/aem.01979-21
• 发表时间: 2022-03-22
• 期刊: Applied and environmental microbiology
• 影响因子: 4.4
• 作者: Fu Y;M'ikanatha NM;Lorch JM;Blehert DS;Berlowski-Zier B;Whitehouse CA;Li S;Deng X;Smith JC;Shariat NW;Nawrocki EM;Dudley EG
• 通讯作者: Dudley EG

Genomic analysis of Salmonella Typhimurium from humans and food sources accurately predicts phenotypic multi-drug resistance.

对人类和食物来源的鼠伤寒沙门氏菌进行基因组分析可准确预测表型多重耐药性。

• DOI: 10.1016/j.fm.2021.103957
• 发表时间: 2022
• 期刊: Food microbiology
• 影响因子: 5.3
• 作者: Yin,Xin;Fu,Yezhi;Tate,Heather;Pinto,Casey;Dudley,EdwardG;M'ikanatha,NkuchiaM
• 通讯作者: M'ikanatha,NkuchiaM

Phylogenetic Analysis Reveals Source Attribution Patterns for Campylobacter spp. in Tennessee and Pennsylvania.

• DOI: 10.3390/microorganisms9112300
• 发表时间: 2021-11-05
• 期刊: Microorganisms
• 影响因子: 4.5
• 作者: Hudson LK;Andershock WE;Yan R;Golwalkar M;M'ikanatha NM;Nachamkin I;Thomas LS;Moore C;Qian X;Steece R;Garman KN;Dunn JR;Kovac J;Denes TG
• 通讯作者: Denes TG

Evidence for common ancestry and microevolution of passerine-adapted Salmonella enterica serovar Typhimurium in the UK and USA.

• DOI: 10.1099/mgen.0.000775
• 发表时间: 2022-03
• 期刊: Microbial genomics
• 影响因子: 3.9
• 作者: Fu Y;Smith JC;Shariat NW;M'ikanatha NM;Dudley EG
• 通讯作者: Dudley EG

The potential impact of the COVID-19 pandemic on global antimicrobial and biocide resistance: an AMR Insights global perspective.

• DOI: 10.1093/jacamr/dlab038
• 发表时间: 2021-06
• 期刊: JAC-antimicrobial resistance
• 影响因子: 3.4
• 作者: Ansari S;Hays JP;Kemp A;Okechukwu R;Murugaiyan J;Ekwanzala MD;Ruiz Alvarez MJ;Paul-Satyaseela M;Iwu CD;Balleste-Delpierre C;Septimus E;Mugisha L;Fadare J;Chaudhuri S;Chibabhai V;Wadanamby JMRWW;Daoud Z;Xiao Y;Parkunan T;Khalaf Y;M'Ikanatha NM;van Dongen MBM;Global AMR Insights Ambassador Network
• 通讯作者: Global AMR Insights Ambassador Network