Literature DB >> 17686887

Physiological genetics of dietary restriction: uncoupling the body temperature and body weight responses.

Brad A Rikke1, Thomas E Johnson.   

Abstract

Numerous physiological and molecular changes accompany dietary restriction (DR), which has been a major impediment to elucidating the causal basis underlying DR's many health benefits. Two major metabolic responses to DR that potentially underlie many of these changes are the body temperature (T(b)) and body weight (BW) responses. These responses also represent an especially difficult challenge to uncouple during DR. We demonstrate in this study, using two recombinant inbred (RI) panels of mice (the LXS and LSXSS) that naturally occurring genetic variation serves as a powerful tool for modulating T(b) and BW independently during DR. The correlation coefficient between the two responses was essentially zero, with R = -0.04 in the LXS and -0.03 in the LSXSS, the latter averaged across replicate cohorts. This study is also the first to report that there is highly significant (P = 10(-10)) strain variation in the T(b) response to DR in the LXS (51 strains tested), with strain means ranging from 2 to 4 degrees C below normal. The results suggest that the strain variation in the T(b) response to DR is largely due to differences in the rate of heat loss rather than heat production (i.e., metabolic rate). This variation can thus be used to assess the long-term effects of lower T(b) independent of BW or metabolic rate, as well as independent of food intake and motor activity as previously shown. These results also suggest that murine genetic variation may be useful for uncoupling many more responses to DR.

Entities:  

Mesh:

Year:  2007        PMID: 17686887     DOI: 10.1152/ajpregu.00215.2007

Source DB:  PubMed          Journal:  Am J Physiol Regul Integr Comp Physiol        ISSN: 0363-6119            Impact factor:   3.619


  15 in total

1.  Genetic dissection of dietary restriction in mice supports the metabolic efficiency model of life extension.

Authors:  Brad A Rikke; Chen-Yu Liao; Matthew B McQueen; James F Nelson; Thomas E Johnson
Journal:  Exp Gerontol       Date:  2010-05-07       Impact factor: 4.032

2.  Long-term caloric restriction reduces metabolic rate and heart rate under cool and thermoneutral conditions in FBNF1 rats.

Authors:  W David Knight; M M Witte; A D Parsons; M Gierach; J Michael Overton
Journal:  Mech Ageing Dev       Date:  2011-04-12       Impact factor: 5.432

3.  Sex- and age-specific differences in core body temperature of C57Bl/6 mice.

Authors:  Manuel Sanchez-Alavez; Silvia Alboni; Bruno Conti
Journal:  Age (Dordr)       Date:  2010-07-16

Review 4.  Relevance of animal models to human eating disorders and obesity.

Authors:  Regina C Casper; Elinor L Sullivan; Laurence Tecott
Journal:  Psychopharmacology (Berl)       Date:  2008-03-04       Impact factor: 4.530

5.  Thermoregulation in mice exhibits genetic variability early in senescence.

Authors:  Patrick Gonzales; Brad A Rikke
Journal:  Age (Dordr)       Date:  2009-08-11

Review 6.  Dietary restriction in rats and mice: a meta-analysis and review of the evidence for genotype-dependent effects on lifespan.

Authors:  William R Swindell
Journal:  Ageing Res Rev       Date:  2011-12-23       Impact factor: 10.895

7.  Gonadal hormones influence core body temperature during calorie restriction.

Authors:  Rigo Cintron-Colon; Kokila Shankar; Manuel Sanchez-Alavez; Bruno Conti
Journal:  Temperature (Austin)       Date:  2019-04-26

8.  Fat maintenance is a predictor of the murine lifespan response to dietary restriction.

Authors:  Chen-Yu Liao; Brad A Rikke; Thomas E Johnson; Jonathan A L Gelfond; Vivian Diaz; James F Nelson
Journal:  Aging Cell       Date:  2011-04-25       Impact factor: 9.304

9.  Impact of Longevity Interventions on a Validated Mouse Clinical Frailty Index.

Authors:  Alice E Kane; Sarah N Hilmer; Dawn Boyer; Kristan Gavin; Dawn Nines; Susan E Howlett; Rafael de Cabo; Sarah J Mitchell
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2015-02-22       Impact factor: 6.053

Review 10.  Genetic variation in responses to dietary restriction--an unbiased tool for hypothesis testing.

Authors:  Chen-Yu Liao; Thomas E Johnson; James F Nelson
Journal:  Exp Gerontol       Date:  2013-04-05       Impact factor: 4.032

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.