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Problems in physiological experimental animal models investigated with factorial design
In the present study we investigated four variables using factorial design to decide if any of these could explain the variations in the control measurements of interstitial fluid pressure (P(if)) in rat trachea that were experienced. This approach requires only a fraction of the animals normally ne...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier GmbH
2004
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7134602/ https://www.ncbi.nlm.nih.gov/pubmed/32288297 http://dx.doi.org/10.1016/j.jeas.2004.01.002 |
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author | Gjerde, Eli-Anne B Eide, Dag Marcus Brønstad, Aurora Reed, Rolf K |
author_facet | Gjerde, Eli-Anne B Eide, Dag Marcus Brønstad, Aurora Reed, Rolf K |
author_sort | Gjerde, Eli-Anne B |
collection | PubMed |
description | In the present study we investigated four variables using factorial design to decide if any of these could explain the variations in the control measurements of interstitial fluid pressure (P(if)) in rat trachea that were experienced. This approach requires only a fraction of the animals normally needed when studying each factor separately. P(if) in tracheal tissue was measured with the servocontrolled counterpressure system using sharpened micropipettes. The measurements were performed over a period of 60 min and are presented as mean for every 15 min period. The factors investigated in the study were: three strains of female rats (Strain) two brands of diets (Food); two breeder companies (Source); and finally two batches of the same set of animals to repeat the experiment twice (Week), using a total of 48 animals. There was a highly significant effect within Strain the first week (p=0.007), but this response was not observed the second week. The interaction between Strain×Week was significant (p=0.007) while the main effects Strain or Week alone were not significant. The response pattern for Strain and Food was inconsistent for the two experimental weeks studied. These experiments made it possible for us to simultaneously test several factors and exclude these factors as the reason for the observed changes in our experiments since the experiments did not allow the conclusion that one or several of these factors could explain the variation in P(if). |
format | Online Article Text |
id | pubmed-7134602 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2004 |
publisher | Published by Elsevier GmbH |
record_format | MEDLINE/PubMed |
spelling | pubmed-71346022020-04-08 Problems in physiological experimental animal models investigated with factorial design Gjerde, Eli-Anne B Eide, Dag Marcus Brønstad, Aurora Reed, Rolf K J Exp Anim Sci Article In the present study we investigated four variables using factorial design to decide if any of these could explain the variations in the control measurements of interstitial fluid pressure (P(if)) in rat trachea that were experienced. This approach requires only a fraction of the animals normally needed when studying each factor separately. P(if) in tracheal tissue was measured with the servocontrolled counterpressure system using sharpened micropipettes. The measurements were performed over a period of 60 min and are presented as mean for every 15 min period. The factors investigated in the study were: three strains of female rats (Strain) two brands of diets (Food); two breeder companies (Source); and finally two batches of the same set of animals to repeat the experiment twice (Week), using a total of 48 animals. There was a highly significant effect within Strain the first week (p=0.007), but this response was not observed the second week. The interaction between Strain×Week was significant (p=0.007) while the main effects Strain or Week alone were not significant. The response pattern for Strain and Food was inconsistent for the two experimental weeks studied. These experiments made it possible for us to simultaneously test several factors and exclude these factors as the reason for the observed changes in our experiments since the experiments did not allow the conclusion that one or several of these factors could explain the variation in P(if). Published by Elsevier GmbH 2004-04-30 2004-07-01 /pmc/articles/PMC7134602/ /pubmed/32288297 http://dx.doi.org/10.1016/j.jeas.2004.01.002 Text en Copyright © 2004 Published by Elsevier GmbH. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Gjerde, Eli-Anne B Eide, Dag Marcus Brønstad, Aurora Reed, Rolf K Problems in physiological experimental animal models investigated with factorial design |
title | Problems in physiological experimental animal models investigated with factorial design |
title_full | Problems in physiological experimental animal models investigated with factorial design |
title_fullStr | Problems in physiological experimental animal models investigated with factorial design |
title_full_unstemmed | Problems in physiological experimental animal models investigated with factorial design |
title_short | Problems in physiological experimental animal models investigated with factorial design |
title_sort | problems in physiological experimental animal models investigated with factorial design |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7134602/ https://www.ncbi.nlm.nih.gov/pubmed/32288297 http://dx.doi.org/10.1016/j.jeas.2004.01.002 |
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