Genetic analysis of abdominal fat distribution in SM/J and A/J mice.
Each abdominal fat depot, such as mesenteric or epididymal, differently contributes to the development of insulin resistance. The aim of this study was to identify the genetic regions that contribute to fat accumulation in epididymal/mesenteric fat and to examine whether or not the genetic regions that affect glucose metabolism and body fat distribution are coincident. We previously mapped a major quantitative trait locus (QTL) (T2dm2sa) for impaired glucose tolerance on chromosome 2 and revealed that SM.A-T2dm2sa congenic mice showed not only glucose tolerance but also fat accumulation. In the present study, to identify the loci/genes that control the accumulation of abdominal fat, we performed QTL analyses of epididymal/mesenteric fat weight by using (A/J x SM.A-T2dm2sa)F2 mice in which the effect of T2dm2sa was excluded. As a result, two highly significant QTLs for mesenteric fat, as well as three significant QTLs for epididymal/mesenteric fat, were mapped on the different chromosomal regions. This suggests that the fat accumulations in individual fat depots are controlled by distinct genomic regions. Our comparison of these QTLs for abdominal fat distribution with those for glucose metabolism revealed that the major genetic factors affecting body fat distribution do not coincide with genetic factors affecting glucose metabolism in (A/J x SM.A-T2dm2sa)F2.
Kobayashi
Misato
M
Department of Applied Molecular Bioscience, Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, Japan.
Ohno
Tamio
T
Hada
Natsuko
N
Fujiyoshi
Masato
M
Kuga
Masako
M
Nishimura
Masahiko
M
Murai
Atsushi
A
Horio
Fumihiko
F
D050153:Abdominal Fat / Q000187:drug effects* / Q000378:metabolism; D000818:Animals; D001786:Blood Glucose / Q000235:genetics* / Q000378:metabolism; D001835:Body Weight / Q000187:drug effects; D033481:Chromosomes, Mammalian; D003920:Diabetes Mellitus / Q000235:genetics* / Q000378:metabolism; D004041:Dietary Fats / Q000008:administration & dosage / Q000494:pharmacology*; D004195:Disease Models, Animal; D004822:Epididymis / Q000187:drug effects / Q000378:metabolism; D005260:Female; D016678:Genome; D005951:Glucose Tolerance Test; D008297:Male; D051379:Mice; D020297:Mice, Congenic; D008815:Mice, Inbred Strains; D056128:Obesity, Abdominal / Q000235:genetics* / Q000378:metabolism; D040641:Quantitative Trait Loci; D013045:Species Specificity
D001786:Blood Glucose; D004041:Dietary Fats
Biosci Biotechnol Biochem. 2004 Jan;68(1):226-30
14745189
J Nutr. 1993 Nov;123(11):1939-51
8229312
Int J Obes (Lond). 2007 May;31(5):829-41
17060928
Genetics. 1996 Jan;142(1):285-94
8770605
J Lipid Res. 2004 Sep;45(9):1624-32
15210844
Diabetes. 2003 Jan;52(1):180-6
12502510
Mamm Genome. 2009 Feb;20(2):71-82
19137372
J Lipid Res. 2007 Sep;48(9):2039-46
17595448
Mamm Genome. 2006 Jan;17(1):22-36
16416088
Mamm Genome. 1995 Dec;6(12):850-7
8747923
Mamm Genome. 2006 Nov;17(11):1078-92
17103052
Physiol Genomics. 2009 Jul 9;38(2):226-32
19470805
Mamm Genome. 1999 Apr;10(4):327-34
10087288
Physiol Rev. 1994 Oct;74(4):761-811
7938225
Physiol Genomics. 2008 Sep 17;35(1):65-74
18628340
Biochem Biophys Res Commun. 2003 May 16;304(4):812-7
12727230
Proc Nutr Soc. 2000 Aug;59(3):331-6
10997648
Lancet. 2005 Oct 1;366(9492):1197-209
16198769
Diabetes. 2004 Dec;53(12):3328-36
15561968
Mamm Genome. 2006 Nov;17(11):1065-77
17103053
Genetics. 1994 Nov;138(3):963-71
7851788
Diabetes. 2000 Jun;49(6):883-8
10866038
Diabetologia. 2006 Mar;49(3):486-95
16447060
Metabolism. 1987 Jan;36(1):54-9
3796297
J Clin Invest. 1993 Aug;92(2):773-9
8349816
Nat Genet. 1995 Nov;11(3):241-7
7581446
Mamm Genome. 2001 Dec;12(12):930-2
11707780
Obesity (Silver Spring). 2008 Feb;16(2):483-7
18239664
Trends Genet. 2002 Jul;18(7):367-76
12127777
Diabetes. 2009 Apr;58(4):803-12
19136652