Literature DB >> 14981211

Obesity in BSB mice is correlated with expression of genes for iron homeostasis and leptin.

Poupak Farahani1, Sally Chiu, Christopher L Bowlus, Dario Boffelli, Eric Lee, Janis S Fisler, Ronald M Krauss, Craig H Warden.   

Abstract

OBJECTIVE: We searched for genes whose alleles cause obesity and novel pathways correlated with obesity. RESEARCH METHODS AND PROCEDURES: BSB mice are a model of complex obesity due to interactions among genes from C57BL/6J (B) and Mus spretus (SPRET) in (B x SPRET) x B backcross mice. Stringent criteria identified 50 genes differentially expressed in epididymal adipose tissue from 7 pairs of lean vs. obese BSB mice. Quantitative reverse transcription-polymerase chain reaction of adipose tissue RNA from 48 BSB mice with a range of obesity was assayed. Leptin was evaluated in inbred (SPRET/Ei) and outbred (SPRET/Pt) BSB mice.
RESULTS: Leptin (Lep) and adipsin expressions had the greatest fold differences between obese and lean mice. Four genes involved in iron homeostasis were included in the 50 differentially expressed genes [hemochromatosis (Hfe), diaphorase 1, transferrin receptor (Trfr) 2, and protoporphyrinogen oxidase] and two additional iron-related genes did not quite meet the stringent criteria for differential expression (Trfr and lactotransferrin). Hfe and Trfr mRNA levels and liver iron were negatively correlated with fat mass. Variation in obesity phenotypes explained 49%, 40%, and 37%, respectively, of the variance in Hfe, Lep, and Trfr mRNA levels. Leptin differed by haplotype at the Lep locus in outbred BSB. The quantitative trait locus identified in the outbred cross did not occur in inbred BSB. DISCUSSION: Our results suggest that iron homeostasis in BSB mice is coordinately regulated in vivo in adipose depots in response to obesity. Lep alleles derived from outbred, but not inbred, SPRET are a positional candidate for the chromosome 6 quantitative trait locus in BSB mice.

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Year:  2004        PMID: 14981211     DOI: 10.1038/oby.2004.26

Source DB:  PubMed          Journal:  Obes Res        ISSN: 1071-7323


  10 in total

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Authors:  Matthew Stevenson; Jenny Lee; Raymond G Lau; Collin E M Brathwaite; Louis Ragolia
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3.  High-fat feeding period affects gene expression in rat white adipose tissue.

Authors:  I P Lopez; F I Milagro; A Marti; M J Moreno-Aliaga; J A Martinez; C De Miguel
Journal:  Mol Cell Biochem       Date:  2005-07       Impact factor: 3.396

4.  Adipocyte iron regulates adiponectin and insulin sensitivity.

Authors:  J Scott Gabrielsen; Yan Gao; Judith A Simcox; Jingyu Huang; David Thorup; Deborah Jones; Robert C Cooksey; David Gabrielsen; Ted D Adams; Steven C Hunt; Paul N Hopkins; William T Cefalu; Donald A McClain
Journal:  J Clin Invest       Date:  2012-09-10       Impact factor: 14.808

5.  Prohepcidin and iron metabolism parameters in the obese elderly patients with anemia.

Authors:  J Przybyszewska; E Zekanowska; K Kedziora-Kornatowska; J Boinska; R Cichon; K Porzych
Journal:  J Nutr Health Aging       Date:  2011-04       Impact factor: 4.075

6.  In silico QTL mapping of basal liver iron levels in inbred mouse strains.

Authors:  Stela McLachlan; Seung-Min Lee; Teresa M Steele; Paula L Hawthorne; Matthew A Zapala; Eleazar Eskin; Nicholas J Schork; Gregory J Anderson; Chris D Vulpe
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7.  Serious limitations of the QTL/microarray approach for QTL gene discovery.

Authors:  Ricardo A Verdugo; Charles R Farber; Craig H Warden; Juan F Medrano
Journal:  BMC Biol       Date:  2010-07-12       Impact factor: 7.431

8.  Iron elevation and adipose tissue remodeling in the epididymal depot of a mouse model of polygenic obesity.

Authors:  Xiaoya Ma; Vinh T Pham; Hiroyuki Mori; Ormond A MacDougald; Yatrik M Shah; Peter F Bodary
Journal:  PLoS One       Date:  2017-06-26       Impact factor: 3.240

9.  Iron behaving badly: inappropriate iron chelation as a major contributor to the aetiology of vascular and other progressive inflammatory and degenerative diseases.

Authors:  Douglas B Kell
Journal:  BMC Med Genomics       Date:  2009-01-08       Impact factor: 3.063

10.  Body composition and gene expression QTL mapping in mice reveals imprinting and interaction effects.

Authors:  Ye Cheng; Satyanarayana Rachagani; Angela Cánovas; Mary Sue Mayes; Richard G Tait; Jack C M Dekkers; James M Reecy
Journal:  BMC Genet       Date:  2013-10-29       Impact factor: 2.797

  10 in total

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