Thermogenic profiling using magnetic resonance imaging of dermal and other adipose tissues.
Dermal white adipose tissue (dWAT) was recently recognized for its potential to modify whole body metabolism. Here, we show that dWAT can be quantified using a high-resolution, fat-specific magnetic resonance imaging (MRI) technique. Noninvasive MRI has been used to describe adipocyte depots for many years; the MRI technique we describe uses an advanced fat-specific method to measure the thickness of dWAT, together with the total volume of WAT and the relative activation/fat depletion of brown adipose tissues (BAT). Since skin-embedded adipocytes may provide natural insulation, they provide an important counterpoint to the activation of thermogenic brown and beige adipose tissues, whereby these distinct depots are functionally interrelated and require simultaneous assay. This method was validated using characterized mouse cohorts of a lipodystrophic, dWAT-deficient strain (syndecan-1 KO) and 2 obese models (diet-induced obese mice and genetically obese animals, ob/ob). Using a preliminary cohort of normal human subjects, we found the thickness of skin-associated fat varied 8-fold, from 0.13-1.10 cm; on average, this depot is calculated to weigh 8.8 kg.
McArdle Laboratory for Cancer Research.
Ildiko
I
Kasza
Department of Radiology.
Diego
D
Hernando
Department of Radiology.
Alejandro
A
Roldán-Alzate
Department of Mechanical Engineering.
Caroline M
CM
Alexander
Department of Radiology.|Department of Medical Physics.|Department of Biomedical Engineering.|Department of Medicine, and.|Department of Emergency Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Scott B
SB
Reeder
Cell Metab. 2015 Apr 7;21(4):507-8
25863240
J Magn Reson Imaging. 2010 May;31(5):1195-202
20432356
Proc Natl Acad Sci U S A. 2014 Dec 16;111(50):18001-6
25453088
J Clin Invest. 2013 Jan;123(1):215-23
23221344
N Engl J Med. 2009 Apr 9;360(15):1500-8
19357405
Int J Endocrinol. 2014;2014:309570
24527032
Skin Res Technol. 2002 May;8(2):118-24
12060477
Am J Physiol Endocrinol Metab. 2000 May;278(5):E941-8
10780952
Magn Reson Med. 2005 Sep;54(3):625-35
16092102
Magn Reson Med. 2005 Sep;54(3):636-44
16092103
J Nucl Med. 2013 Sep;54(9):1584-7
23868958
PLoS Genet. 2006 May;2(5):e81
16733553
J Clin Invest. 2015 Feb;125(2):478-86
25642708
Eur J Nucl Med Mol Imaging. 2014 Apr;41(4):776-91
24509875
Science. 2002 Aug 2;297(5582):843-5
12161655
J Lipid Res. 1999 Aug;40(8):1395-400
10428975
Nat Protoc. 2012 Mar 01;7(3):606-15
22383039
Cell. 2016 Jan 28;164(3):353-64
26824653
Cell. 2012 Jul 20;150(2):366-76
22796012
J Clin Invest. 2011 Jan;121(1):96-105
21123942
J Cosmet Dermatol. 2004 Jul;3(3):156-61
17134431
Cell Metab. 2015 Feb 3;21(2):334-46
25651185
J Magn Reson Imaging. 2011 Aug;34(2):468-73
21780237
Physiol Rev. 2004 Jan;84(1):277-359
14715917
Diabetologia. 2013 May;56(5):1129-39
23423668
Mol Aspects Med. 2013 Feb;34(1):1-11
23068073
Proc Nutr Soc. 2001 Aug;60(3):319-28
11681806
Magn Reson Med. 2004 Jan;51(1):35-45
14705043
Obesity (Silver Spring). 2007 Aug;15(8):1933-43
17712110
Trends Endocrinol Metab. 2015 May;26(5):231-7
25843910
Cell Metab. 2010 Apr 7;11(4):263-7
20374958
Exp Dermatol. 2014 Sep;23(9):629-31
24841073
Am J Physiol Endocrinol Metab. 2013 Sep 1;305(5):E567-72
23839524
Cell Rep. 2016 Feb 23;14 (7):1621-31
26876182
Oncogene. 2007 Mar 1;26(10):1407-16
16953225
J Lipid Res. 2015 Nov;56(11):2061-9
26405076
Obes Res. 2003 Jan;11(1):5-16
12529479
Cell Metab. 2014 Sep 2;20(3):408-15
25185947
Genes Dev. 2009 Apr 1;23(7):788-97
19339685
Exp Dermatol. 2014 Sep;23(9):634-5
24815604
Pharmacol Ther. 2013 Mar;137(3):331-40
23178510
Nat Med. 2013 Oct;19(10 ):1252-63
24100998
J Magn Reson Imaging. 2013 Dec;38(6):1425-33
23580443
Diabetes. 2014 Dec;63(12 ):4089-99
25056438
Nat Rev Endocrinol. 2014 Jan;10 (1):24-36
24146030
PLoS Genet. 2014 Aug 07;10(8):e1004514
25101993