Institutional Cost Savings and Improved Pathogen Detection by Replacing Sentinel Mice with Environmental Soiled Bedding Health Monitoring Methods

用环境污染垫料健康监测方法替代哨兵鼠,可节省机构成本并提高病原体检测能力

阅读:1

Abstract

Use of soiled bedding sentinels (SBS) for rodent colony health monitoring is limited by inconsistent pathogen detection, reliance on live animals, high costs, and labor intensity. Sentinel-free soiled bedding (SFSB) offers a viable alternative for all rodent housing systems, overcoming limitations by using PCR testing of matrices exposed to soiled bedding. As an alternative, a matrix may be exposed to all cages via direct colony dredging (DCD). This study compared pathogen detection and costs between SFSB, DCD, and SBS for mice housed in individually-ventilated cage rack system cages. For each study rack, SFSB was performed with one matrix shaken in composite soiled bedding, while DCD was performed with a second matrix exposed to all soiled cages on the rack using a dredging method. We hypothesized that the SFSB and DCD matrices would detect Rodentibacter heylii, Rodentibacter pneumotropicus, Helicobacter typhlonius, Helicobacter mastomyrinus, Helicobacter hepaticus, Helicobacter bilis, Helicobacter rodentium, Helicobacter ganmani, and murine norovirus (MNV) with equal or superior efficacy to SBS, at a comparable or reduced program cost. All SBS failed to detect R. heylii, R. pneumotropicus, H. typhlonius, H. mastomyrinus, H. hepaticus, H. bilis, H. rodentium, and H. ganmani when tested by fecal PCR, and 25% failed to detect MNV when tested via serology. In contrast, SFSB and DCD matrices detected MNV, R. heylii, R. pneumotropicus, H. typhlonius, H. mastomyrinus, H. hepaticus, H. bilis, H. rodentium, and H. ganmani even with low pathogen prevalence, although neither method achieved 100% detection. DCD had negative ergonomic, workflow, and labor challenges compared with SFSB. Overall, SFSB and DCD had reduced costs and superior pathogen detection compared with SBS, while SFSB provided the most efficient and user-friendly approach for health monitoring by this institution.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。