Literature DB >> 22330575

Markers for predicting death as an outcome for mice used in infectious disease research.

Rita A Trammell1, Linda A Toth.   

Abstract

Our goal in this study was to identify objective criteria that could be used to predict an outcome of death in mice subjected to experimental inoculation with infectious organisms. We conducted a retrospective analysis of data collected from 4 independent studies that used several infectious agents (influenza virus strains A/HK/x31[H3N2] and A/Puerto Rico/8/34[H1N1], Streptococcus pneumoniae, and Candida albicans) and mouse strains (A/J, DBA/2J, C57BL/6J, BALB/cByJ). Postinoculation periods ranged from 5 to 21 d, with survival of 30% to 60% of the subjects. In all studies, mice were implanted with either a subcutaneous identification microchip or an intraabdominal radiofrequency transmitter to allow remote measurement of body temperature. After inoculation, mice were weighed and monitored regularly until death occurred or euthanasia was performed. Hypothermia was the most valuable characteristic for distinguishing mice that would survive or succumb to the infection. In addition, weight loss was useful in some of the models. In some cases, the derived measure of the product of temperature and body weight provided the best differentiation of mice in the 2 outcome categories. Therefore, the utility of these measures varied substantially depending on the specific model. This study demonstrates that specific endpoint markers are not uniformly applicable to different models. Rather, such markers should be developed and tested in the context of the model in which they will be used. The use of validated markers for eventual death can signal the need for preemptive euthanasia to alleviate terminal distress and permit timely collection of biologic samples.

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Year:  2011        PMID: 22330575      PMCID: PMC3236690     

Source DB:  PubMed          Journal:  Comp Med        ISSN: 1532-0820            Impact factor:   0.982


  18 in total

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Journal:  Lab Anim       Date:  2003-04       Impact factor: 2.471

5.  Identification of markers for imminent death in mice used in longevity and aging research.

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Journal:  J Am Assoc Lab Anim Sci       Date:  2010-05       Impact factor: 1.232

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Journal:  Infect Immun       Date:  1999-03       Impact factor: 3.441

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9.  Effect of cage bedding on temperature regulation and metabolism of group-housed female mice.

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10.  Induction of pro- and anti-inflammatory molecules in a mouse model of pneumococcal pneumonia after influenza.

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  31 in total

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Journal:  Comp Med       Date:  2012-06       Impact factor: 0.982

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Authors:  Amanda M Gaither; Kate C Baker; Margaret H Gilbert; James L Blanchard; David X Liu; Kerith R Luchins; Rudolf P Bohm
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Journal:  Shock       Date:  2018-08       Impact factor: 3.454

Review 4.  Considerations for Infectious Disease Research Studies Using Animals.

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Journal:  Comp Med       Date:  2017-06-01       Impact factor: 0.982

5.  Hypothermic endpoint for an intranasal invasive pulmonary aspergillosis mouse model.

Authors:  Trinka W Adamson; Diana Diaz-Arevalo; Tracey M Gonzalez; Xueli Liu; Markus Kalkum
Journal:  Comp Med       Date:  2013       Impact factor: 0.982

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Journal:  Neurochem Res       Date:  2014-12-10       Impact factor: 3.996

7.  Identifying and Implementing Endpoints for Geriatric Mice.

Authors:  Linda A Toth
Journal:  Comp Med       Date:  2018-11-28       Impact factor: 0.982

8.  Cytokine and chemokine responses of lung exposed to surrogate viral and bacterial infections.

Authors:  Teresa A Liberati; Rita A Trammell; Michelle Randle; Sarah Barrett; Linda A Toth
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9.  JAK1 Inhibition Blocks Lethal Immune Hypersensitivity in a Mouse Model of Down Syndrome.

Authors:  Kathryn D Tuttle; Katherine A Waugh; Paula Araya; Ross Minter; David J Orlicky; Michael Ludwig; Zdenek Andrysik; Matthew A Burchill; Beth A J Tamburini; Colin Sempeck; Keith Smith; Ross Granrath; Dayna Tracy; Jessica Baxter; Joaquin M Espinosa; Kelly D Sullivan
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10.  Anti-influenza effect of Cordyceps militaris through immunomodulation in a DBA/2 mouse model.

Authors:  Hwan Hee Lee; Heejin Park; Gi-Ho Sung; Kanghyo Lee; Taeho Lee; Ilseob Lee; Man-seong Park; Yong Woo Jung; Yu Su Shin; Hyojeung Kang; Hyosun Cho
Journal:  J Microbiol       Date:  2014-07-18       Impact factor: 3.422

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