Literature DB >> 11765975

Thermoregulatory responses of two mouse Mus musculus strains selectively bred for high and low food intake.

C Selman1, T K Korhonen, L Bünger, W G Hill, J R Speakman.   

Abstract

We examined the thermoregulatory responses of male and female mice Mus musculus that had been divergently selected on voluntary food intake, corrected for body mass, to produce a high-intake and a low-intake strain. Resting metabolic rate was determined by indirect calorimetry (at 30 degrees C, 25 degrees C, 15 degrees C and 5 degrees C). Body temperature responses were measured in a separate group of mice in a parallel protocol. High-intake mice had significantly elevated body masses compared to low-intake mice in both sexes. Lower critical temperature in both strains appeared to be around 28 degrees C. At 30 degrees C there was a significant strain effect on resting metabolic rate, with high strain mice having greater metabolism than low strain mice. Sex and body mass were not significant main effects on resting metabolic rate and there were no significant interactions. Body temperature measured at 30 degrees C, 25 degrees C, 15 degrees C and 5 degrees C differed significantly between sexes (females higher) and there was a significant sexxbody mass interaction effect, but there was no difference between strains. Thermal conductance was significantly related to strain and sex, mice from the high strain and males having greater thermal conductances than mice from the low strain and females. Artificial selection has resulted in high-intake mice having greater body masses and greater thermal conductances, which together account for up to 45% of the elevated daily energy demands that underpin the increase in food intake. The greater levels of food intake were also associated with higher resting metabolic rates at 30 degrees C.

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Year:  2001        PMID: 11765975     DOI: 10.1007/s003600100217

Source DB:  PubMed          Journal:  J Comp Physiol B        ISSN: 0174-1578            Impact factor:   2.200


  8 in total

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Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2010-09-08       Impact factor: 3.619

2.  Expanding the body mass range: associations between BMR and tissue morphology in wild type and mutant dwarf mice (David mice).

Authors:  Carola W Meyer; Juliane Neubronner; Jan Rozman; Gabi Stumm; Andreas Osanger; Claudia Stoeger; Martin Augustin; Johannes Grosse; Martin Klingenspor; Gerhard Heldmaier
Journal:  J Comp Physiol B       Date:  2006-09-29       Impact factor: 2.200

3.  Lipidomics reveals mitochondrial membrane remodeling associated with acute thermoregulation in a rodent with a wide thermoneutral zone.

Authors:  Qian Pan; Min Li; Yao-Long Shi; Huwei Liu; John R Speakman; De-Hua Wang
Journal:  Lipids       Date:  2014-05-07       Impact factor: 1.880

4.  AMPK is essential for energy homeostasis regulation and glucose sensing by POMC and AgRP neurons.

Authors:  Marc Claret; Mark A Smith; Rachel L Batterham; Colin Selman; Agharul I Choudhury; Lee G D Fryer; Melanie Clements; Hind Al-Qassab; Helen Heffron; Allison W Xu; John R Speakman; Gregory S Barsh; Benoit Viollet; Sophie Vaulont; Michael L J Ashford; David Carling; Dominic J Withers
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5.  Using doubly-labeled water to measure energy expenditure in an important small ectotherm Drosophila melanogaster.

Authors:  Matthew D W Piper; Colin Selman; John R Speakman; Linda Partridge
Journal:  J Genet Genomics       Date:  2014-08-10       Impact factor: 4.275

Review 6.  Not so hot: Optimal housing temperatures for mice to mimic the thermal environment of humans.

Authors:  John R Speakman; Jaap Keijer
Journal:  Mol Metab       Date:  2012-11-08       Impact factor: 7.422

Review 7.  Determinants of intra-specific variation in basal metabolic rate.

Authors:  Marek Konarzewski; Aneta Książek
Journal:  J Comp Physiol B       Date:  2012-07-31       Impact factor: 2.200

8.  Body size, spontaneous activity and thermogenesis effects on energy expenditure: an introduction to a topic on energy metabolism.

Authors:  Patrick C Even
Journal:  Front Physiol       Date:  2013-10-17       Impact factor: 4.566

  8 in total

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