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A statistical analysis of murine incisional and excisional acute wound models
Mice represent the most commonly used species for preclinical in vivo research. While incisional and excisional acute murine wound models are both frequently employed, there is little agreement on which model is optimum. Moreover, current lack of standardization of wounding procedure, analysis time...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BlackWell Publishing Ltd
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4309476/ https://www.ncbi.nlm.nih.gov/pubmed/24635179 http://dx.doi.org/10.1111/wrr.12148 |
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author | Ansell, David M Campbell, Laura Thomason, Helen A Brass, Andrew Hardman, Matthew J |
author_facet | Ansell, David M Campbell, Laura Thomason, Helen A Brass, Andrew Hardman, Matthew J |
author_sort | Ansell, David M |
collection | PubMed |
description | Mice represent the most commonly used species for preclinical in vivo research. While incisional and excisional acute murine wound models are both frequently employed, there is little agreement on which model is optimum. Moreover, current lack of standardization of wounding procedure, analysis time point(s), method of assessment, and the use of individual wounds vs. individual animals as replicates makes it difficult to compare across studies. Here we have profiled secondary intention healing of incisional and excisional wounds within the same animal, assessing multiple parameters to determine the optimal methodology for future studies. We report that histology provides the least variable assessment of healing. Furthermore, histology alone (not planimetry) is able to detect accelerated healing in a castrated mouse model. Perhaps most importantly, we find virtually no correlation between wounds within the same animal, suggesting that use of wound (not animal) biological replicates is perfectly acceptable. Overall, these findings should guide and refine future studies, increasing the likelihood of detecting novel phenotypes while reducing the numbers of animals required for experimentation. |
format | Online Article Text |
id | pubmed-4309476 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BlackWell Publishing Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-43094762015-02-13 A statistical analysis of murine incisional and excisional acute wound models Ansell, David M Campbell, Laura Thomason, Helen A Brass, Andrew Hardman, Matthew J Wound Repair Regen Technical Articles Mice represent the most commonly used species for preclinical in vivo research. While incisional and excisional acute murine wound models are both frequently employed, there is little agreement on which model is optimum. Moreover, current lack of standardization of wounding procedure, analysis time point(s), method of assessment, and the use of individual wounds vs. individual animals as replicates makes it difficult to compare across studies. Here we have profiled secondary intention healing of incisional and excisional wounds within the same animal, assessing multiple parameters to determine the optimal methodology for future studies. We report that histology provides the least variable assessment of healing. Furthermore, histology alone (not planimetry) is able to detect accelerated healing in a castrated mouse model. Perhaps most importantly, we find virtually no correlation between wounds within the same animal, suggesting that use of wound (not animal) biological replicates is perfectly acceptable. Overall, these findings should guide and refine future studies, increasing the likelihood of detecting novel phenotypes while reducing the numbers of animals required for experimentation. BlackWell Publishing Ltd 2014 2014-03-17 /pmc/articles/PMC4309476/ /pubmed/24635179 http://dx.doi.org/10.1111/wrr.12148 Text en © 2014 The Authors. Wound Repair and Regeneration published by Wiley Periodicals, Inc. on behalf of Wound Healing Society. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Technical Articles Ansell, David M Campbell, Laura Thomason, Helen A Brass, Andrew Hardman, Matthew J A statistical analysis of murine incisional and excisional acute wound models |
title | A statistical analysis of murine incisional and excisional acute wound
models |
title_full | A statistical analysis of murine incisional and excisional acute wound
models |
title_fullStr | A statistical analysis of murine incisional and excisional acute wound
models |
title_full_unstemmed | A statistical analysis of murine incisional and excisional acute wound
models |
title_short | A statistical analysis of murine incisional and excisional acute wound
models |
title_sort | statistical analysis of murine incisional and excisional acute wound
models |
topic | Technical Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4309476/ https://www.ncbi.nlm.nih.gov/pubmed/24635179 http://dx.doi.org/10.1111/wrr.12148 |
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