Back to Search
Start Over
Pathology Principles and Practices for Analysis of Animal Models
- Source :
- ILAR Journal. 59:40-50
- Publication Year :
- 2018
- Publisher :
- Oxford University Press (OUP), 2018.
-
Abstract
- Over 60% of NIH extramural funding involves animal models, and approximately 80% to 90% of these are mouse models of human disease. It is critical to translational research that animal models are accurately characterized and validated as models of human disease. Pathology analysis, including histopathology, is essential to animal model studies by providing morphologic context to in vivo, molecular, and biochemical data; however, there are many considerations when incorporating pathology endpoints into an animal study. Mice, and in particular genetically modified models, present unique considerations because these modifications are affected by background strain genetics, husbandry, and experimental conditions. Comparative pathologists recognize normal pathobiology and unique phenotypes that animals, including genetically modified models, may present. Beyond pathology, comparative pathologists with research experience offer expertise in animal model development, experimental design, optimal specimen collection and handling, data interpretation, and reporting. Critical pathology considerations in the design and use of translational studies involving animals are discussed, with an emphasis on mouse models.
- Subjects :
- Pathology
medicine.medical_specialty
040301 veterinary sciences
Translational research
Context (language use)
Review Article
Biology
General Biochemistry, Genetics and Molecular Biology
Translational Research, Biomedical
0403 veterinary science
03 medical and health sciences
Animal model
medicine
Animals
Animal study
030304 developmental biology
0303 health sciences
Extramural
Data interpretation
04 agricultural and veterinary sciences
General Medicine
Genetically modified organism
Disease Models, Animal
Specimen collection
Research Design
Animal Science and Zoology
Subjects
Details
- ISSN :
- 19306180 and 10842020
- Volume :
- 59
- Database :
- OpenAIRE
- Journal :
- ILAR Journal
- Accession number :
- edsair.doi.dedup.....c67f993cca3a9383601312a8a4433fe6
- Full Text :
- https://doi.org/10.1093/ilar/ilz001