Literature DB >> 28801960

MRI characterization of brown adipose tissue under thermal challenges in normal weight, overweight, and obese young men.

Jie Deng1,2, Lisa M Neff3, Nicholas C Rubert1, Bin Zhang4, Richard M Shore1,2, Jonathan D Samet1,2, Paige C Nelson1, Lewis Landsberg3,5.   

Abstract

PURPOSE: To implement quantitative Dixon magnetic resonance imaging (MRI) methods for brown adipose tissue (BAT) characterization at inactive and cold-activated states in normal weight, overweight, and obese subjects. The hypotheses are that MRI characteristics of BAT would differentiate between nonobese and obese subjects, and activation of BAT in response to thermal challenges that are detected by MRI would be correlated with BAT activity measured by positron emission tomography / computed tomography (PET/CT).
MATERIALS AND METHODS: Fifteen male subjects (20.7 ± 1.5 years old) including six normal weight, five overweight, and four obese subjects participated in the study. A multiecho Dixon MRI sequence was performed on a 1.5T scanner. MRI was acquired under thermoneutral, nonshivering thermogenesis, and subsequent warm-up conditions. Fat fraction (FF), R2*, and the number of double bonds (ndb) were measured by solving an optimization problem that fits in- and out-of-phase MR signal intensities to the fat-water interference models. Imaging acquisition and postprocessing were performed by two MRI physicists. In each subject, Dixon MRI measurements of FF, R2*, and ndb were calculated for each voxel within all BAT regions of interest (ROIs) under each thermal condition. Mean FF, R2*, and ndb were compared between nonobese (ie, normal-weight/overweight) and obese subjects using the two-sample t-test. Receiver operating characteristic (ROC) analyses were performed to differentiate nonobese vs. obese subjects. BAT MRI measurement changes in response to thermal condition changes were compared with hypermetabolic BAT volume/activity measured by PET/CT using the Pearson's correlation. In addition, BAT MRI measurements were compared with body adiposity using the Pearson's correlation. P < 0.05 was considered statistically significant.
RESULTS: Obese subjects showed higher FF and lower R2* than nonobese subjects under all three thermal conditions (P < 0.01). ROC analyses demonstrated that FF and R2* were excellent predictors for the differentiation of nonobese from obese subjects (100% specificity and 100% sensitivity). FF changes under thermal challenges were correlated with hypermetabolic BAT volume (r = -0.55, P = 0.04 during activation, and r = 0.72, P = 0.003 during deactivation), and with BAT activity (r = 0.69, P = 0.006 during deactivation), as measured by PET/CT. FF and R2* under all three thermal conditions were highly correlated with body adiposity (P ≤ 0.002).
CONCLUSION: MRI characteristics of BAT differentiated between nonobese and obese subjects in both inactivated and activated states. BAT activation detected by Dixon MRI in response to thermal challenges were correlated with glucose uptake of metabolically active BAT. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2018;47:936-947.
© 2017 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  MRI; PET/CT; brown adipose tissue; cold exposure; obese

Mesh:

Year:  2017        PMID: 28801960      PMCID: PMC5808911          DOI: 10.1002/jmri.25836

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  42 in total

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2.  Brown adipose tissue, whole-body energy expenditure, and thermogenesis in healthy adult men.

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3.  Variations in T(2)* and fat content of murine brown and white adipose tissues by chemical-shift MRI.

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4.  The distribution of brown adipose tissue in the human.

Authors:  J M Heaton
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5.  The occurrence of brown adipose tissue in perirenal fat in Japanese.

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6.  Prevalence of obesity and trends in body mass index among US children and adolescents, 1999-2010.

Authors:  Cynthia L Ogden; Margaret D Carroll; Brian K Kit; Katherine M Flegal
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7.  Cold-activated brown adipose tissue in healthy men.

Authors:  Wouter D van Marken Lichtenbelt; Joost W Vanhommerig; Nanda M Smulders; Jamie M A F L Drossaerts; Gerrit J Kemerink; Nicole D Bouvy; Patrick Schrauwen; G J Jaap Teule
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8.  Cold acclimation recruits human brown fat and increases nonshivering thermogenesis.

Authors:  Anouk A J J van der Lans; Joris Hoeks; Boudewijn Brans; Guy H E J Vijgen; Mariëlle G W Visser; Maarten J Vosselman; Jan Hansen; Johanna A Jörgensen; Jun Wu; Felix M Mottaghy; Patrick Schrauwen; Wouter D van Marken Lichtenbelt
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Review 9.  Cold-activated brown adipose tissue in human adults: methodological issues.

Authors:  Anouk A J J van der Lans; Roel Wierts; Maarten J Vosselman; Patrick Schrauwen; Boudewijn Brans; Wouter D van Marken Lichtenbelt
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Review 10.  A new era in brown adipose tissue biology: molecular control of brown fat development and energy homeostasis.

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1.  Accurate quantification of brown adipose tissue mass by xenon-enhanced computed tomography.

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Journal:  Proc Natl Acad Sci U S A       Date:  2017-12-18       Impact factor: 11.205

Review 2.  How to best assess abdominal obesity.

Authors:  Hongjuan Fang; Elizabeth Berg; Xiaoguang Cheng; Wei Shen
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4.  Reduced Beige Adipogenic Potential in Subcutaneous Adipocytes Derived from Obese Chinese Individuals.

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Review 6.  Brown Adipose Tissue Energy Metabolism in Humans.

Authors:  André C Carpentier; Denis P Blondin; Kirsi A Virtanen; Denis Richard; François Haman; Éric E Turcotte
Journal:  Front Endocrinol (Lausanne)       Date:  2018-08-07       Impact factor: 5.555

7.  Brown adipose tissue estimated with the magnetic resonance imaging fat fraction is associated with glucose metabolism in adolescents.

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Review 8.  Imaging Metabolically Active Fat: A Literature Review and Mechanistic Insights.

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Review 9.  Nutritional Regulation of Human Brown Adipose Tissue.

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10.  PET/MRI of glucose metabolic rate, lipid content and perfusion in human brown adipose tissue.

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Journal:  Sci Rep       Date:  2021-07-22       Impact factor: 4.379

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