Literature DB >> 25001233

Genetic determinants of atherosclerosis, obesity, and energy balance in consomic mice.

Sabrina H Spiezio1, Lynn M Amon, Timothy S McMillen, Cynthia M Vick, Barbara A Houston, Mark Caldwell, Kayoko Ogimoto, Gregory J Morton, Elizabeth A Kirk, Michael W Schwartz, Joseph H Nadeau, Renée C LeBoeuf.   

Abstract

Metabolic diseases such as obesity and atherosclerosis result from complex interactions between environmental factors and genetic variants. A panel of chromosome substitution strains (CSSs) was developed to characterize genetic and dietary factors contributing to metabolic diseases and other biological traits and biomedical conditions. Our goal here was to identify quantitative trait loci (QTLs) contributing to obesity, energy expenditure, and atherosclerosis. Parental strains C57BL/6 and A/J together with a panel of 21 CSSs derived from these progenitors were subjected to chronic feeding of rodent chow and atherosclerotic (females) or diabetogenic (males) test diets, and evaluated for a variety of metabolic phenotypes including several traits unique to this report, namely fat pad weights, energy balance, and atherosclerosis. A total of 297 QTLs across 35 traits were discovered, two of which provided significant protection from atherosclerosis, and several dozen QTLs modulated body weight, body composition, and circulating lipid levels in females and males. While several QTLs confirmed previous reports, most QTLs were novel. Finally, we applied the CSS quantitative genetic approach to energy balance, and identified three novel QTLs controlling energy expenditure and one QTL modulating food intake. Overall, we identified many new QTLs and phenotyped several novel traits in this mouse model of diet-induced metabolic diseases.

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Year:  2014        PMID: 25001233      PMCID: PMC4241139          DOI: 10.1007/s00335-014-9530-2

Source DB:  PubMed          Journal:  Mamm Genome        ISSN: 0938-8990            Impact factor:   2.957


  67 in total

1.  Multiple obesity QTLs identified in an intercross between the NZO (New Zealand obese) and the SM (small) mouse strains.

Authors:  B A Taylor; C Wnek; D Schroeder; S J Phillips
Journal:  Mamm Genome       Date:  2001-02       Impact factor: 2.957

Review 2.  Clinical review: Regulation of food intake, energy balance, and body fat mass: implications for the pathogenesis and treatment of obesity.

Authors:  Stephan J Guyenet; Michael W Schwartz
Journal:  J Clin Endocrinol Metab       Date:  2012-01-11       Impact factor: 5.958

Review 3.  Genetic and genomic insights into the molecular basis of atherosclerosis.

Authors:  Yaoyu Chen; Jarod Rollins; Beverly Paigen; Xiaosong Wang
Journal:  Cell Metab       Date:  2007-09       Impact factor: 27.287

4.  Fibroblast growth factor 21 action in the brain increases energy expenditure and insulin sensitivity in obese rats.

Authors:  David A Sarruf; Joshua P Thaler; Gregory J Morton; Jonathan German; Jonathan D Fischer; Kayoko Ogimoto; Michael W Schwartz
Journal:  Diabetes       Date:  2010-03-31       Impact factor: 9.461

5.  Ath-1, a gene determining atherosclerosis susceptibility and high density lipoprotein levels in mice.

Authors:  B Paigen; D Mitchell; K Reue; A Morrow; A J Lusis; R C LeBoeuf
Journal:  Proc Natl Acad Sci U S A       Date:  1987-06       Impact factor: 11.205

6.  Dietary obesity linked to genetic loci on chromosomes 9 and 15 in a polygenic mouse model.

Authors:  D B West; J Goudey-Lefevre; B York; G E Truett
Journal:  J Clin Invest       Date:  1994-10       Impact factor: 14.808

7.  Genetic resistance to liver fibrosis on A/J mouse chromosome 17.

Authors:  David A DeSantis; Peter Lee; Stephanie K Doerner; Chih-Wei Ko; Jean H Kawasoe; Annie E Hill-Baskin; Sheila R Ernest; Prerna Bhargava; Kyu Yeon Hur; Gail A Cresci; Michele T Pritchard; Chih-Hao Lee; Laura E Nagy; Joseph H Nadeau; Colleen M Croniger
Journal:  Alcohol Clin Exp Res       Date:  2013-06-13       Impact factor: 3.455

8.  Evaluation of a quantitative magnetic resonance method for mouse whole body composition analysis.

Authors:  Frank C Tinsley; Gersh Z Taicher; Mark L Heiman
Journal:  Obes Res       Date:  2004-01

9.  Mouse inter-subspecific consomic strains for genetic dissection of quantitative complex traits.

Authors:  Toyoyuki Takada; Akihiko Mita; Akiteru Maeno; Takahiro Sakai; Hiroshi Shitara; Yoshiaki Kikkawa; Kazuo Moriwaki; Hiromichi Yonekawa; Toshihiko Shiroishi
Journal:  Genome Res       Date:  2008-02-06       Impact factor: 9.043

10.  Measuring energy metabolism in the mouse - theoretical, practical, and analytical considerations.

Authors:  John R Speakman
Journal:  Front Physiol       Date:  2013-03-14       Impact factor: 4.566

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  6 in total

Review 1.  From Peas to Disease: Modifier Genes, Network Resilience, and the Genetics of Health.

Authors:  Jesse D Riordan; Joseph H Nadeau
Journal:  Am J Hum Genet       Date:  2017-08-03       Impact factor: 11.025

2.  High-Fat Diet-Induced Complement Activation Mediates Intestinal Inflammation and Neoplasia, Independent of Obesity.

Authors:  Stephanie K Doerner; Edimara S Reis; Elaine S Leung; Justine S Ko; Jason D Heaney; Nathan A Berger; John D Lambris; Joseph H Nadeau
Journal:  Mol Cancer Res       Date:  2016-08-17       Impact factor: 5.852

3.  Burly1 is a mouse QTL for lean body mass that maps to a 0.8-Mb region of chromosome 2.

Authors:  Cailu Lin; Brad D Fesi; Michael Marquis; Natalia P Bosak; Anna Lysenko; Mohammed Amin Koshnevisan; Fujiko F Duke; Maria L Theodorides; Theodore M Nelson; Amanda H McDaniel; Mauricio Avigdor; Charles J Arayata; Lauren Shaw; Alexander A Bachmanov; Danielle R Reed
Journal:  Mamm Genome       Date:  2018-05-08       Impact factor: 2.957

4.  Genetic Drivers of Pancreatic Islet Function.

Authors:  Mark P Keller; Daniel M Gatti; Kathryn L Schueler; Mary E Rabaglia; Donnie S Stapleton; Petr Simecek; Matthew Vincent; Sadie Allen; Aimee Teo Broman; Rhonda Bacher; Christina Kendziorski; Karl W Broman; Brian S Yandell; Gary A Churchill; Alan D Attie
Journal:  Genetics       Date:  2018-03-22       Impact factor: 4.562

5.  Chromosomal assignment of quantitative trait loci influencing baseline circulating total cholesterol level in male laboratory mice: report of a consomic strain survey and comparison with published results.

Authors:  Hein A van Lith; Marijke C Laarakker; José G Lozeman-van't Klooster; Frauke Ohl
Journal:  BMC Res Notes       Date:  2015-04-08

Review 6.  Contrasting genetic architectures in different mouse reference populations used for studying complex traits.

Authors:  David A Buchner; Joseph H Nadeau
Journal:  Genome Res       Date:  2015-05-07       Impact factor: 9.043

  6 in total

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