Literature DB >> 17028044

Genetic variance contributes to ingestive processes: a survey of eleven inbred mouse strains for fat (Intralipid) intake.

Sarah R Lewis1, Cheryl Dym, Christina Chai, Amreeta Singh, Benjamin Kest, Richard J Bodnar.   

Abstract

Genetic variation across inbred and outbred mouse strains have been observed for intake of sweet solutions, salts, bitter tastants and a high-fat diet. Our laboratory recently reported marked strain differences in the amounts and/or percentages of kilocalories of sucrose consumed among 11 inbred and one outbred mouse strains exposed to a wide range of nine sucrose concentrations (0.0001-5%) in two-bottle 24-h preference tests. To assess whether differences in fat intake were similarly associated with genetic variation, the present study examined intake of chow, water and an emulsified fat source (Intralipid) across nine different concentrations (0.00001-5%) in the same 11 inbred and 1 outbred mouse strains using two-bottle 24-h preference tests, which controlled for Intralipid concentration presentation effects, Intralipid and water bottle positions, and measurement of kilocalorie intake consumed as Intralipid or chow. Strains displayed differential increases in Intralipid intake relative to corresponding water with significant effects observed at the seven (BALB/cJ: 0.001% threshold sensitivity), four (AKR/J, C57BL/6J, DBA/2J, SWR/J: 0.5% threshold sensitivity), three (CD-1, C57BL/10J, SJL/J: 1% threshold sensitivity) and two (A/J, CBA/J, C3H/HeJ, 129P3/J: 2% threshold sensitivity) highest concentrations. In assessing the percentage of kilocalories consumed as Intralipid, SWR/J mice consumed significantly more at the three highest concentrations to a greater degree than BALB/cJ, C57BL/6J, CD-1, C3H/HeJ, DBA/J and 129P3/J strains which in turn consumed more than A/J, AKR/J, CBA/J, C57BL/10J and SJL/J mice. Relatively strong (h2 = 0.73-0.79) heritability estimates were obtained for weight-adjusted Intralipid intake at those concentrations (0.001-1%) that displayed the largest strain-specific effects in sensitivity to Intralipid. The identification of strains with diverging abilities to regulate kilocalorie intake when presented with high Intralipid concentrations may lead to the successful mapping of genes related to hedonics and obesity.

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Year:  2006        PMID: 17028044     DOI: 10.1016/j.physbeh.2006.08.028

Source DB:  PubMed          Journal:  Physiol Behav        ISSN: 0031-9384


  20 in total

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3.  Genetic control of oromotor phenotypes: A survey of licking and ingestive behaviors in highly diverse strains of mice.

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4.  Strain differences in sucrose- and fructose-conditioned flavor preferences in mice.

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Journal:  Physiol Behav       Date:  2011-09-14

5.  Decreased food intake following overfeeding involves leptin-dependent and leptin-independent mechanisms.

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Journal:  Physiol Behav       Date:  2010-04-10

6.  Genetic variance contributes to dopamine and opioid receptor antagonist-induced inhibition of intralipid (fat) intake in inbred and outbred mouse strains.

Authors:  Cheryl T Dym; Veronica S Bae; Tamar Kraft; Yakov Yakubov; Amanda Winn; Anthony Sclafani; Richard J Bodnar
Journal:  Brain Res       Date:  2009-12-22       Impact factor: 3.252

7.  Myostatin expression, lymphocyte population, and potential cytokine production correlate with predisposition to high-fat diet induced obesity in mice.

Authors:  Jeri-Anne Lyons; Jodie S Haring; Peggy R Biga
Journal:  PLoS One       Date:  2010-09-22       Impact factor: 3.240

8.  Inbred strains of zebrafish exhibit variation in growth performance and myostatin expression following fasting.

Authors:  Ben M Meyer; Jacob M Froehlich; Nicholas J Galt; Peggy R Biga
Journal:  Comp Biochem Physiol A Mol Integr Physiol       Date:  2012-10-06       Impact factor: 2.320

Review 9.  Leptin resistance and the response to positive energy balance.

Authors:  Christopher D Morrison
Journal:  Physiol Behav       Date:  2008-04-12

10.  Fat and carbohydrate preferences in mice: the contribution of alpha-gustducin and Trpm5 taste-signaling proteins.

Authors:  Anthony Sclafani; Steven Zukerman; John I Glendinning; Robert F Margolskee
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2007-07-25       Impact factor: 3.619

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