27
Elsevier Editorial System(tm) for Diabetes & Metabolism Manuscript Draft Manuscript Number: DIABET-D-17-00036R1 Title: A Synopsis of Brown Adipose Tissue Imaging Modalities for Clinical Research Article Type: Review Keywords: Brown adipose tissue, Clinical Imaging, Non-invasive, Obesity Corresponding Author: Dr. Lijuan Sun, Ph.D Corresponding Author's Institution: Singapore Institute for Clinical Sciences First Author: Lijuan Sun, Ph.D Order of Authors: Lijuan Sun, Ph.D; Jianhua Yan; Lei Sun; S. Sendhil Velan; Melvin Leow Manuscript Region of Origin: SINGAPORE Abstract: Body weight gain results from a chronic excess of energy intake over energy expenditure. Accentuating endogenous energy expenditure has been accorded much attention since the recognition of the existence of brown adipose tissue (BAT) in adult humans, given that BAT is known to increase energy expenditure via thermogenesis. Besides classical BAT, significant strides in the understanding of inducible brown adipocytes have been made in terms of its development and function. While it is ideal to study BAT histologically, its relatively inaccessible anatomical locations and the inherent risks associated with biopsies preclude invasive techniques to evaluate BAT on a routine basis. Hence, there is a surge in interest to employ non-invasive methods to examine BAT. The gold standard for the non-invasive detection of BAT activation is 18- fluorodeoxyglucose positron emission tomography with computerized tomography (PET/CT). However, the major limitation of PET/CT as a tool for BAT studies in humans is the exposure to clinically significant doses of ionizing radiation. In more recent years, several other imaging methods including single-photon emission computed tomography (SPECT/CT), magnetic resonance imaging (MRI), infrared thermography/thermal imaging (IRT) and contrast ultrasound (US) have been developed with the hope that these will allow non-invasive, quantitative measures of BAT mass and activity at lower costs. This review focuses on methods to detect human BAT activation and white adipose tissue (WAT) browning that will catalyse the establishment of BAT-centric strategies to augment energy expenditure and combat obesity. Validation of these methods in human will likely expand the scope and flexibility of future BAT studies.

Elsevier Editorial System(tm) for Diabetes & Metabolism

  • Upload
    others

  • View
    4

  • Download
    0

Embed Size (px)

Citation preview

Page 1: Elsevier Editorial System(tm) for Diabetes & Metabolism

Elsevier Editorial System(tm) for Diabetes &

Metabolism

Manuscript Draft

Manuscript Number: DIABET-D-17-00036R1

Title: A Synopsis of Brown Adipose Tissue Imaging Modalities for Clinical

Research

Article Type: Review

Keywords: Brown adipose tissue, Clinical Imaging, Non-invasive, Obesity

Corresponding Author: Dr. Lijuan Sun, Ph.D

Corresponding Author's Institution: Singapore Institute for Clinical

Sciences

First Author: Lijuan Sun, Ph.D

Order of Authors: Lijuan Sun, Ph.D; Jianhua Yan; Lei Sun; S. Sendhil

Velan; Melvin Leow

Manuscript Region of Origin: SINGAPORE

Abstract: Body weight gain results from a chronic excess of energy intake

over energy expenditure. Accentuating endogenous energy expenditure has

been accorded much attention since the recognition of the existence of

brown adipose tissue (BAT) in adult humans, given that BAT is known to

increase energy expenditure via thermogenesis. Besides classical BAT,

significant strides in the understanding of inducible brown adipocytes

have been made in terms of its development and function. While it is

ideal to study BAT histologically, its relatively inaccessible anatomical

locations and the inherent risks associated with biopsies preclude

invasive techniques to evaluate BAT on a routine basis. Hence, there is a

surge in interest to employ non-invasive methods to examine BAT. The gold

standard for the non-invasive detection of BAT activation is 18-

fluorodeoxyglucose positron emission tomography with computerized

tomography (PET/CT). However, the major limitation of PET/CT as a tool

for BAT studies in humans is the exposure to clinically significant doses

of ionizing radiation. In more recent years, several other imaging

methods including single-photon emission computed tomography (SPECT/CT),

magnetic resonance imaging (MRI), infrared thermography/thermal imaging

(IRT) and contrast ultrasound (US) have been developed with the hope that

these will allow non-invasive, quantitative measures of BAT mass and

activity at lower costs. This review focuses on methods to detect human

BAT activation and white adipose tissue (WAT) browning that will catalyse

the establishment of BAT-centric strategies to augment energy expenditure

and combat obesity. Validation of these methods in human will likely

expand the scope and flexibility of future BAT studies.

Page 2: Elsevier Editorial System(tm) for Diabetes & Metabolism

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65

1

A Synopsis of Brown Adipose Tissue Imaging Modalities for Clinical Research 1

Lijuan Sun1#

, Jianhua Yan2,3#

, Lei Sun4, S. Sendhil Velan

5, 6, Melvin Khee-Shing Leow

1, 6, 7,8,9,10,11* 2

1. Clinical Nutrition Research Centre (CNRC), Singapore Institute for Clinical Sciences (SICS), 3 Agency for Science, Technology and Research (A*STAR) and National University Health 4 System, Singapore 5

2. Department of Nuclear Medicine, First Hospital of Shanxi Medical University, China 6 3. Molecular Imaging Precision Medicine Collaborative Innovation Center, Shanxi Medical 7

University, China 8

4. Cardiovascular and Metabolic Disorders Program, Duke-NUS Medical School, Singapore 9

5. Laboratory of Molecular Imaging, Singapore Bioimaging Consortium, A*STAR, Singapore 10

6. Departments of Medicine and Physiology, Yong Loo Lin School of Medicine, National 11

University of Singapore 12

7. Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 13

8. Office of Clinical Sciences, Duke-NUS Medical School, Singapore 14

9. Clinical Trials and Research Unit, Changi General Hospital, Singapore 15

10. Department of Medicine, National University Hospital, Singapore 16

11. Department of Endocrinology, Tan Tock Seng Hospital, Singapore, Singapore 17

18

#Lijuan Sun and Jianhua Yan contributed equally to this article as the co-first authors. 19

*Correspondence should be addressed to: 20

Melvin Khee-Shing Leow, MD 21

Centre for Translational Medicine, 14 Medical Drive #07-02, MD 6 Building, Yong Loo Lin School of 22

Medicine, Singapore 117599 23

Tel: +65 6407 0105 24

Fax: +65 6774 7134 25

Email: [email protected] 26

27

Conflict of interest statement: 28

All authors declare no conflict of interest. 29

Number of tables: 1 30

Figure: 7 31

32

33

*Manuscript

Page 3: Elsevier Editorial System(tm) for Diabetes & Metabolism

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65

2

Abstract: 34

Body weight gain results from a chronic excess of energy intake over energy expenditure. 35

Accentuating endogenous energy expenditure has been accorded much attention since the 36

recognition of the existence of brown adipose tissue (BAT) in adult humans, given that BAT is known 37

to increase energy expenditure via thermogenesis. Besides classical BAT, significant strides in the 38

understanding of inducible brown adipocytes have been made in terms of its development and 39

function. While it is ideal to study BAT histologically, its relatively inaccessible anatomical locations 40

and the inherent risks associated with biopsies preclude invasive techniques to evaluate BAT on a 41

routine basis. Hence, there is a surge in interest to employ non-invasive methods to examine BAT. 42

The gold standard for the non-invasive detection of BAT activation is 18-fluorodeoxyglucose positron 43

emission tomography with computerized tomography (PET/CT). However, the major limitation of 44

PET/CT as a tool for BAT studies in humans is the exposure to clinically significant doses of ionizing 45

radiation. In more recent years, several other imaging methods including single-photon emission 46

computed tomography (SPECT/CT), magnetic resonance imaging (MRI), infrared 47

thermography/thermal imaging (IRT) and contrast ultrasound (US) have been developed with the 48

hope that these will allow non-invasive, quantitative measures of BAT mass and activity at lower costs. 49

This review focuses on methods to detect human BAT activation and white adipose tissue (WAT) 50

browning that will catalyse the establishment of BAT-centric strategies to augment energy expenditure 51

and combat obesity. Validation of these methods in human will likely expand the scope and flexibility 52

of future BAT studies. 53

Keywords: Brown adipose tissue, Clinical Imaging, Non-invasive, Obesity 54

55

56

57

58

59

60

61

62

63

64

65

66

Page 4: Elsevier Editorial System(tm) for Diabetes & Metabolism

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65

3

Introduction 67

Obesity is a global epidemic associated with debilitating metabolic and cardiovascular sequelae 68

including diabetes, hypertension and dyslipidemia. A fundamental basis for the obesity crisis is a 69

surplus of energy intake over energy expenditure. Excess calories are stored preferentially as 70

triglycerides in WAT (white adipose tissue), an evolutionarily conserved adaptation in the light of the 71

maximum energy density of fat for tissue storage space economy. WAT is an energy-storing tissue, 72

whereas BAT dissipates energy in the form of heat. Indeed, the thermoregulatory function of BAT in 73

small and hibernating mammals including human neonates and infants has been known for decades 74

[1, 2]. Beyond survival advantage conferred by this adaptive process, overwhelming evidences that 75

BAT activation can improve whole body metabolism [3-5] brought about a resurgence in research 76

interest on BAT, ever since it was demonstrated to exist in human adults by 18

F-fluorodeoxyglucose 77

(18

F-FDG) positron emission tomography with computerized tomography (PET/CT)in 2002 [6]. Recent 78

evidence has also described the existence of brown adipocyte-like cells within WAT which harbour 79

similar phenotype to BAT called beige or brite (ie. ‘brown in white’) adipocytes in distinction from 80

“classical constitutive BAT“[7]. As both classical brown and beige/brite adipocytes are thermogenic 81

and expend stored energy, they add to the expanding arsenal against obesity and diabetes [8]. There 82

are many excellent reviews on BAT biology and its catabolic processes [9-11], whereas the present 83

review focuses on the methodology for imaging BAT activation and WAT browning with an emphasis 84

on human applications and highlights the advantages and drawbacks of each method. 85

86

BAT characteristics and WAT browning 87

Classical brown adipocytes reside in depots of infants anatomically localized to the interscapular, 88

supraclavicular, pericardial, suprarenal and paraaortic regions. “Beige” or ‘brite” adipocytes in human 89

adults can be found in fat tissue in the neck, supraclavicular areas, mediastinum (para-aortic), 90

paravertebral and suprarenal regions. Supraclavicular and cervical BAT constitutes the two most 91

abundant and readily inducible depots in most persons examined[12]. Here, BAT is predominantly 92

composed of inducible beige/brite adipocytes[9]. BAT prevalence and activity have been 93

demonstrated to correlate negatively with age, body mass index, diabetes status and outdoor 94

temperatures [13, 14]. BAT is thought to be present in the majority of, if not all, adult humans though 95

its ‘activatable’ property within any given person remains questionable [15]. Cold and diet-induced 96

thermogenesis are both mediated by BAT. Activated BAT preferentially oxidises lipids for fuel though 97

it also utilises glucose as a metabolic substrate. BAT might thus be exploited therapeutically for its 98

anti-obesity, lipid and glucose-lowering effects [3, 16]. 99

BAT biopsy is the definitive method for identifying histologic features of brown adipocytes and 100

distinguishing it from WAT. Morphologically, brown adipocytes are characterized by their numerous 101

small lipid droplets, polygonal shape, smaller size, iron-containing mitochondria in significantly higher 102

numbers responsible for the brownish colours opposed to white adipocytes[17]. BAT has a 103

remarkably higher density of sympathetic innervation compared to WAT[14]. 104

Page 5: Elsevier Editorial System(tm) for Diabetes & Metabolism

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65

4

The 32 kDa uncoupling protein 1 (UCP1) - a long chain fatty acid-activated protein, known as 105

thermogenin, is the sine qua non attribute characterising the heat-dissipating mitochondria of BAT. 106

UCP1 sits in the inner mitochondrial membrane and behaves as a protonophore by facilitating proton 107

leak from the intermembrane space back to the mitochondrial matrix which physiologically uncouples 108

the respiratory chain and releases energy as heat instead of ATP biosynthesis-a process known as 109

adaptive thermogenesis [18]. UCP1 thus increases fuel oxidation, independent of intracellular levels 110

of ATP and generates a remarkable thermal power to the order of 300 W/kg in rodents 111

experiments[19]. If extrapolated to humans, approximately 50 g of BAT can account for up to 20% of 112

total energy expenditure [20] while nearly 4 kg weight loss over the course of a year has been 113

estimated to occur with roughly 60 g of BAT in human PET studies [21]. 114

White adipose tissue (WAT) under the appropriate stimuli has the capacity of transforming into 115

inducible brown adipose tissue (termed beige or brite fat). Notably, this “browning” of WAT may 116

occur through differentiation of adipocyte stem cells residing within WAT towards a beige 117

phenotype [22] or via a more controversial process of trans-differentiation of white into brown 118

adipocytes [23]. Browning of white adipose is often observed in mouse models, but not in human. 119

Recently, Labros and his colleague reported that human subcutaneous white adipose tissue (sWAT) 120

can transform from an energy-storing to an energy-dissipating tissue after severe adrenergic stress 121

which demonstrated that human sWAT exhibits the plasticity to undergo browning [24]. The molecular 122

pathways governing this browning process are still being unravelled while established intracellular 123

signals include the following. Peroxisome-proliferator–activated receptor γ (PPAR- γ) coactivator-1 α 124

(PGC-1α) is the key regulator of mitochondrial biogenesis and oxidative metabolism [25]. In humans, 125

PGC1-α mRNA expression is highly expressed in BAT relative to WAT [26] which correlates with the 126

higher energy production rate of BAT [27]. PGC1-α is not only enriched in both classical BAT depots 127

but its expression also can be induced in beige/brite adipocytes by cold exposure [28] By inducing the 128

expression of UCP1, PGC-1α is a master regulator of brown adipogenesis. 129

PR domain-containing protein-16 (PRDM16) had been identified to specifically enrich in classical 130

brown fat relative to WAT [29]. PRDM16 was demonstrated to play an important role in promoting 131

browning in visceral fat under β-adrenergic stimulation [29]. Ectopic expression of PRDM16 in WAT 132

induced brown adipocyte specific gene expression including UCP1 and PGC-1α complemented by an 133

increase in mitochondrial volume and oxygen consumption [29]. PRDM16 abundance is significantly 134

higher in supraclavicular BAT than WAT in humans [26]. 135

Browning of WAT can theoretically be harnessed as a strategy for obesity treatment if the stimuli to 136

recruit and activate beige adipocytes from white adipocytes are safe and efficacious. There are 137

several stimuli that can increase BAT activity including cold exposure, β-adrenergic receptor agonists 138

and other pharmacological agents that may be used in conjunction with PET imaging studies. PPAR 139

Ƴ activators, thiazolidinediones can recruit BAT depots and facilitate the browning of WAT [30, 31]. In 140

recent years, there are many novel nonadrenergic soluble molecules which have been identified to be 141

capable of inducing the browning of WAT[32]. These browning-inducing stimuli molecules are as 142

Page 6: Elsevier Editorial System(tm) for Diabetes & Metabolism

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65

5

summarized in Figure1. Cold exposure is the best and most widely used stimulus of BAT activity. 143

Subjects exposed to temperature between 16 ºC and 19 ºC for 1 to 2 hours have higher BAT-positive 144

detection rates [33, 34]; hence the same individuals can switch from BAT negative to positive status 145

and vice versa depending on various conditions. Numerous studies have also proven the positive 146

association between cold-activated BAT detected by PET/CT scans and energy expenditure [35-40]. 147

Women when exposed under 19 ºC for 12 hours as compared to 24 ºC ambient temperature showed 148

a 5% increase in energy expenditure [41]. An estimated 250 kcal/day energy expenditure increase 149

was observed among healthy young men exposed to 19 ºC for 2 hours [42]. 6 weeks (17 ºC for 2 150

hours /day) of chronic cold exposure was shown to increase 18

F-FDG uptake and energy expenditure 151

in subjects with absent or low 18

F-FDG at baseline PET/CT scans [42]. This result showed that BAT in 152

adult humans can either be activated or recruited to tackle obesity. 153

154

Positron Emission Tomography-Computed Tomography (PET/CT) imaging 155

PET/CT is now an important cancer imaging tool for staging, re-staging, treatment monitoring and 156

prognostication [43], surpassing over PET or CT alone and minimizes their individual limitations. 18

F-157

FDG is a glucose analog labelled with isotope 18-fluorine. Like glucose, 18

F-FDG can enter the cells 158

mediated by a group of structurally related glucose transport proteins (GLUT) and then is 159

phosphorylated by hexokinase as the first step toward glycolysis. In contrast to glucose, the 6-160

phosphate derivative of FDG cannot be further metabolised downstream for energy production and 161

thus remains trapped within the metabolically active cells [44]. Classic brown adipocytes express 162

high glucose transporter protein 1 and 4 and are therefore FDG positive [45]. Many studies have 163

suggested 18

F-FDG PET imaging as a reference to non-invasively identify BAT and depict metabolic 164

activity of BAT depots [26, 46] (Figure 2). With the help of CT or MR, the hot BAT depots could be 165

precisely located [12]. Virtanen et al [26] combined using 18

F-FDG PET/CT scan and biopsy 166

specimens of paracervical and supraclavicular tissue RNA and protein results confirmed the presence 167

of certain amounts of metabolically active brown adipose tissue in adults in 2009. In addition, women 168

were found to harbour had a greater mass of BAT brown adipose tissue and higher 18

F-FDG uptake 169

activity than men. Moreover, the amount of BAT brown adipose tissue was inversely correlated with 170

body mass index [47]. Since then, many researchers and clinicians started to investigate the 171

physiological characteristics of BAT using 18

F-FDG PET/CT as the dominant “gold standard” imaging 172

method. 173

Using 18

F-FDG PET/CT to study BAT prevalence and function in humans is however potentially 174

fraught with errors. Based on the early large retrospective reports, prevalence estimates of BAT in 175

humans from PET/CT ranged between 2% to 7% [13, 48]. The low prevalence reported casted doubt 176

on the physiological significance of BAT. According to the studies of multiple scans, the average 177

likelihood of getting another positive scan among patients with BAT is 13.3% [49]. Lee et al [15] 178

analysed the supraclavicular fat histologically in subjects who did not have elevated 18

F-FDG uptake 179

on PET/CT scans and found a predominance of cells with uniloculated lipid droplets, with scattered 180

Page 7: Elsevier Editorial System(tm) for Diabetes & Metabolism

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65

6

cells containing multiloculated lipid droplets and variable UCP1 immunostaining different from 181

subcutaneous WAT. In comparison with anatomical CT/MR, PET has limited spatial resolution 182

inducing partial volume effect and underestimation of tracer uptake. For example, only the uptake 183

within region of interest (ROI) with size greater than three times PET spatial resolution (typically 3~8 184

mm) could be accurately estimated [50, 51]. In addition, accurate delineation of ROI is a prerequisite 185

for quantification of tracer uptake, however, it is still a challenging task although many approaches 186

have been proposed [52]. Threshold method based on either fixed standardized uptake value (SUV) 187

or percentage of maximum SUV is most commonly used in BAT delineation in PET image. Because 188 18

F-FDG is mainly taken up in active BAT, any uptake below the threshold due to either small 189

quantities of BAT tissue or low levels of BAT activation would be classified as ‘BAT-negative’ even 190

though this may not necessarily connote the absence of BAT [53]. Therefore, conventional diagnostic 191 18

F-FDG PET/CT has limited accuracy and poor reproducibility with respect to BAT detection. This 192

may account for the underestimation of BAT prevalence especially under certain ambient conditions. 193

BAT activity is often estimated by using tracer uptake values which can have significant inter-194

individual differences between obese and lean subjects [53, 54]. Several factors including how to 195

define BAT positivity in PET images, threshold cut-offs for SUV, criteria for separating fat tissue using 196

CT etc have yet to be standardized which makes the quantification of BAT using PET/CT challenging. 197

Additionally, 18

F-FDG uptake can be affected by the activity of glucose transporters. It should be also 198

noted that the energy source for BAT is not restricted to glucose but also free fatty acids. Beyond 18

F-199

FDG, BAT could accumulate a range of tracers including 11

C-acetate and 18

F-fluoro-200

thiaheptadecanoic acid (18

F-THA) reflecting oxidative metabolism [55]. Moreover, oxygen 201

consumption by BAT could be indirectly measured via perfusion information provided by 15

O-H2O PET 202

imaging [56] or directly measured by 15

O-O2 PET imaging [37]. 18

F or 14

C fluorobenzyltriphenyl 203

phosphonium (FBnTP) is a probe which can accumulate in proportion to cellular membrane potential. 204

FBnTP PET accumulates in high levels in inactive BAT [57] but the signal decreases after BAT 205

activation. This is also true for 11

C-methylreboxetine (11

C-MRB), a PET tracer that labels sites of 206

sympathetic innervation. 11

C-MRB PET preferentially accumulates in inactive BAT with minimal 207

increase in signal after BAT activation. Although PET/CT offers exceptional sensitivity in detecting 208

active BAT, ionizing radiation of PET/CT, especially CT, limits its application on healthy volunteers for 209

clinical research. Both PET and CT bring radiation exposure to subjects. The radiation exposure from 210

CT has a very wide range depending on the type and the purpose of the test. Low dose non-211

diagnostic CT protocol (for example, 120 kVp and 50 mAs) is used for whole body PET/CT scan, 212

which approximately equals to 5 mSv. The amount of injected dose of 18

F-FDG depends on subject’s 213

weight. The typical dose of 18

F-FDG for an 80 kg subject is 315 MBq and the corresponding radiation 214

exposure is about 6 mSv. Thus, the typical radiation exposure from a whole body PET/CT scan is 215

around 10 mSv, which is 100 times more than that of a chest X-ray. Combined positron emission 216

tomography/magnetic resonance (PET/MR) scanner is being increasingly used in the clinics and 217

research centres and is a great alternative to PET/CT for BAT and WAT imaging without CT ionizing 218

radiation [58] In addition, MR imaging is an ideal imaging for the evaluation of body fat due to its 219

outstanding spatial resolution and detailed soft-tissue characterization. 220

Page 8: Elsevier Editorial System(tm) for Diabetes & Metabolism

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65

7

221

Single-photon emission computed tomography/CT (SPECT/CT) imaging 222

Cold-stimulated BAT activation is mainly mediated by norepinephrine released from the sympathetic 223

nervous system (SNS) and norepinephrine can interact with β-adrenergic receptors to stimulate 224

thermogenesis [12, 45]. SNS-induced BAT stimulation can be visualized using single-photon emission 225

computed tomography/CT (SPECT/CT). SPECT is a three-dimensional functional nuclear medicine 226

tomographic imaging technique using gamma rays produced from a gamma-emitting radioisotope. 227

The emission intensity from the radioactive ligand is a function of the capillary blood flow and 228

metabolic status within the imaged tissue. With the help of CT information, the functional information 229

from SPECT could be anatomically correlated. 230

SPECT tracers available for clinical application include 123

I-meta-iodobenzylguanidine (123

I-MIBG), 231 99m

Tc-sestamibi, 99m

Tc-tetrofosmin. A few studies have reported that SPECT tracers such as 123

I-232

meta-iodobenzylguanidine (123

I-MIBG), 99m

Tc-sestamibi and 99m

Tc-tetrofosmin demonstrated similar 233

uptakes patterns with 18

F-FDG PET/CT scans for BAT [59-61]. 234

123I-MIBG is a radiolabeled norepinephrine analog, is used for scintigraphic assessment of 235

neuroendocrine tumors and cardiac sympathetic activity [62, 63]. For instance, 123

I-MIBG uptake was 236

found to be incidentally increased in the bilateral laterocervical areas consistent with BAT in a young 237

male underwent bilateral adrenalectomy [64]. A strong correlation has been found between 18

F-FDG 238

PET/CT and 123

I-MIBG SPECT/CT for detecting BAT after a cold stimulus in lean and obese young 239

men but not in older men confirming that 123

I-MIBG SPECT/CT is capable of detecting the SNS BAT 240

activity in both the lean young and obese subjects [65, 66] (Figure 3). In 2002, Okuyama et al. [67] 241

showed that 123

I-MIBG accumulated in the adrenergic nervous system in BAT in rats model. Gelfand 242

[68] demonstrated that 123

I-MIBG uptake was noted in the normal side of neck and shoulder regions 243

caused by uptake in BAT in a 3-year-old girl with neuroblastoma. In a retrospective [61] review of 266 244 123

I-MIBG scans for neuroendocrine tumors, accumulation in the nape of the neck was seen in 12% of 245

the scans which were not identified as tumor; these were thought to be related to the uptake in BAT. 246

Moreover, it has been proven that 123

I-MIBG SPECT/CT and 18

F-FDG PET/CT had strong correlation 247

to measure BAT activity and also identify the same anatomic regions as active BAT. This finding is 248

consistent with others and suggests that BAT activity in humans is influenced by the sympathetic 249

nervous system. 123

I-MIBG SPECT/CT was therefore identified as a tool to visualize and quantify the 250

sympathetic stimulation of BAT. The suggested activity of 123

I-MIBG administered to adults is 400 251

MBq for tumor imaging [69]. The corresponding absorbed dose at the thyroid is about 2.24 mGy and 252

the effective dose from 123

I-MIBG is 5.2 mSv. Usually, orally administered stable iodine is required to 253

prevent thyroid uptake of free iodine before 123

I-MIBG SPECT/CT scan. The oral administrations of 254

stable iodine was suggested to be initiated a day before the planned 123

I-MIBG injection and 255

maintained for 1-2 days [69]. 256

99mTc-sestamibi goes through the cell membrane by passive diffusion and is retained within the 257

mitochondria in the cell [70]. 99m

Tc-sestamibi uptake in BAT was higher compared to WAT and highly 258

Page 9: Elsevier Editorial System(tm) for Diabetes & Metabolism

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65

8

determined by body size as the BAT/WAT uptake ratio decreases with increasing body weight [71]. 259 99m

Tc-sestamibi uptake was increased in the activated BAT probably due to the abundant blood flow 260

and the high density of mitochondria in brown adipocytes [59]. Importantly, 99m

Tc-sestamibi can 261

accumulate in BAT of patients suffering from primary hyperparathyroidism which can potentially lead 262

to erroneous parathyroid adenoma localization due to false positives among such cases in clinical 263

practice [72, 73]. 264

Another tracer used in SPECT/CT is 99m

Tc-tetrofosmin whose uptake is dependent on the plasma 265

membrane and mitochondrial potential [74]. Kazuki et al [75] found a higher 99m

Tc-tetrofosmin uptake 266

rate in the interscapular BAT (17 % of the patients) compared to BAT imaging using 123

I-MIBG (10%) 267

or 18

F-FDG (2.5%–4.0%). Both 99m

Tc-tetrofosmin and 99m

Tc-sestamibi scintigraphy can image human 268

BAT distribution. 269

270

Magnetic resonance imaging (MRI) 271

Human BAT can also be detected by magnetic resonance imaging (MRI) because BAT has a high 272

intracellular and extracellular water content, resulting in higher water-to-fat ratio than WAT in humans, 273

increased iron content, large density of mitochondria and blood vessels in BAT resulting in lower T2 274

and T2* relaxation [76, 77] (Figure 4). Since MRI does not have ionizing radiation although it employs 275

non-ionizing radiofrequency pulses, it is more attractive and suitable for repeated measurements as a 276

BAT imaging modality in children and healthy populations. Fat fraction is significantly lower in BAT 277

than in WAT in infants, adolescents, and adult human subjects. A wide range of fat fraction values 278

across subjects was found in BAT (30-94%) but not in WAT (83-96%) using chemical-shift encoded 279

water-fat MRI [78]. One of the challenges for MRI measuring fat is overlapping fat fraction (FF) and 280

relaxation value between WAT and BAT. However, metabolic inactive BAT which could not detected 281

via 18

F-FDG PET/CT can be imaged using MRI under room temperature. This raises the potential 282

feasibility of MRI in identifying BAT independent of the tissue metabolic status, and supported the 283

notion that the visual absence of BAT FDG uptake does not necessarily imply its absence [79]. The 284

MRI- fat signal fraction of active BAT was significantly lower than that of inactive BAT [80]. Other 285

information derived from MRI like temperature, diffusion, perfusion could also differentiate BAT 286

without human subjectivity, independently of the activation status of BAT [80]. Chen et al [76] verified 287

that the location and volume of BAT deduced via MRI were comparable to the measurements by 18

F-288

FDG PET/CT scans under thermoneutral conditions. In addition, MRI showed a high BAT intra- and 289

inter-reliability for measuring BAT [77]. 290

Water-fat separation MRI method cannot differentiate active from inactive BAT under room 291

temperature whereas functional MRI can, such as described next. Blood-oxygen-level-dependent 292

(BOLD) MR imaging is based on the principle that increased oxygen consumption and blood flow 293

aligned with a change in the relative levels of oxy- and deoxy-hemoglobin produce a detectable 294

change in the intensity of the MR signal [81]. It is sensitive to localized oxygen consumption and blood 295

flow during activation of BAT. This approach has been exploited to detect activated BAT in rodents 296

Page 10: Elsevier Editorial System(tm) for Diabetes & Metabolism

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65

9

using T2 and T2* imaging [81]. BOLD contrast can also be used in MRI to detect BAT activity in a 297

mild cold stimulation [76]. It has been demonstrated that BOLD MRI identified a 10% change in BAT 298

signal intensity when exposed to cold compared to normal condition [76] which raises the possibility to 299

study BAT activation in dynamic studies using BOLD-based MR techniques. In addition, dynamic T2* 300

weighted imaging is another functional MRI capable of evaluating active BAT based on the BOLD 301

MRI technique. In a study of 11 healthy young subjects, dynamic T2* weighted imaging during cold 302

exposure revealed signal fluctuations that were sensitive to BAT activation. The presence of these 303

elements significantly correlated with BAT activation quantified from 18

F-FDG PET [78]. However, 304

there is a low specificity of measuring BAT activation using T2* weighted imaging. 305

Intermolecular multiple quantum coherences (iMQC’s) can be created using distant dipolar field and 306

utilized in imaging and spectroscopic measurements [82]. This technique permits modulation of 307

transverse magnetization with coherence selection gradients where the signal can be detected from 308

spins within a correlation distance d = π γ G t. This method has been extended to probe the spatial 309

correlation between fat and water spins at a cellular level in BAT and WAT using intermolecular zero-310

quantum coherences (i-ZQC’s) [83]. Using this approach i-ZQC spectrum of BAT shows a water – 311

methylene cross peak in BAT whereas it is absent in WAT and muscle tissues of rodents and also in 312

humans [84]. Chemical shift encoded Dixon based approach has been combined with intermolecular 313

double quantum coherences (i-DQC’s) to separate BAT from WAT signals[85]. 314

Hyperpolarized xenon gas based MR imaging has been demonstrated for investigating BAT in 315

rodents [86]. Inhaled hyperpolarized xenon gas is transported to lungs and other organs. The 316

dissolved gas accumulates in different tissues proportional to tissue perfusion rate. The highly 317

vascularized BAT shows a large xenon signal with activation [86]. 318

Active BAT expends thermal energy predominantly via fatty acid oxidation. Hence, it regulates 319

triglyceride-rich lipoproteins (TRL) and blood lipid abundance [16]. BAT activity can thus be measured 320

via real time MR imaging using superparamagnetic iron oxide nanocrystals (SPIO) which accelerate 321

spin-spin relaxations, embedded into TRL cores to follow lipoprotein uptake into the liver [87]. 322

MRI-based techniques have the potential ability of differentiating BAT from WAT and identifying 323

activated BAT from non-activated BAT without ionizing radiation, a clear advantage over PET/CT for 324

the study of human BAT. Capitalising upon the ability of PET to visualize metabolic processes in BAT 325

with a high sensitivity and the ability of MRI to visualize perfusion and intracellular properties (lipid 326

content, water content or even mitochondrial activity), the combined PET/MR fusion imaging device 327

facilitates the separation of activatable from inactivatable human BAT. Although BAT in pediatric 328

patients can be detected and discriminated from WAT by using MRI only, hybrid PET/MRI could 329

provide information about the composition and degree of BAT and its specific activation status [58]. 330

Infrared thermography imaging (IRT) 331

Thermal imaging camera detects infrared (IR) radiation range of the electromagnetic spectrum and 332

produce varied images at different temperatures. As BAT is a thermogenic organ, it can transfer heat 333

energy across the overlying skin via IR emission upon activation by stimuli such as cold. Infrared 334

Page 11: Elsevier Editorial System(tm) for Diabetes & Metabolism

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65

10

thermography (IRT) has been utilised for BAT imaging in animals. In studies of BAT in mice, IRT 335

images of histologically-proven brown fat depots have been reported to correlate well with 18

F-FDG 336

uptake [88]. For BAT imaging in humans via IRT, this has been conducted in both children and adults 337

[89, 90]. Until recently, only one group has successfully verified the equivalence of IRT against 18

F-338

FDG PET/CT for BAT imaging in humans [91]. The highest increase in skin temperature with BAT 339

activation was found to be the supraclavicular area which corresponds to the largest BAT depot in 340

human adults. Following cold exposure, supraclavicular skin temperature declined much less than the 341

mediastinum area [92] while an increase in local temperature within the supraclavicular region has 342

been observed under both baseline and cold stimulated conditions despite the presence of an age-343

related decline in BAT heat output [89]. The temperature difference between supraclavicular area 344

and chest is consistently greater during cooling in BAT-positive subjects but not in BAT-negative 345

subjects as verified by PET/CT scan [91] (Figure 5). As examined by PET/CT, individuals with active 346

BAT compared to those without active BAT showed to have significantly higher local skin 347

temperatures at the supraclavicular region under thermoneutral condition. However, supraclavicular 348

subcutaneous adipose tissue thickness influences supraclavicular skin temperature, a factor that 349

reduces the sensitivity of IRT for BAT detection under thermoneutral conditions [93]. 350

One of the limitations of IRT is that it can only detect BAT in the superficial tissue, particularly over the 351

supraclavicular area. The thermogenicity of BAT located in deeper areas may be underestimated by 352

IRT. Therefore, the study of BAT activity in humans by IRT is limited to superficial BAT depots. 353

Nevertheless, it is notable that the supraclavicular and cervical regions possess the majority of BAT 354

depots in the body by far, which indicates that IRT of such superficial sites alone should account for 355

most of the heat power output by BAT. Overall, the extant literature supports the feasibility of IRT as a 356

promising novel non-invasive method in BAT detection/monitoring in adult humans. 357

358

Near-Infrared Time-Resolved Spectroscopy (NIRTRS) 359

Near-infrared spectroscopy (NIRS) was initiated in 1977 by Jobsis as a simple, non-invasive method 360

for measuring the presence of oxygen in muscle and other tissues in vivo [94]. Near-infrared time-361

resolved spectroscopy (NIRTRS) is a method developed to quantify optical properties such as 362

absorption (μa) and reduced scattering coefficients (μs), and total hemoglobin concentration [total-Hb] 363

which are respective indices of tissue vasculature and mitochondria content [95]. Since BAT has 364

abundant capillaries and mitochondria compared with WAT, this makes NIRTRS possible for 365

assessing BAT density [96]. Nirengi et al [97] compared the NIRTRS parameters (total hemoglobin 366

and reduced scattering coefficient) at 27ºC after 2h cold exposure at 19 ºC in the supraclavicular 367

region with 18

F-FDG-PET/CT-derived parameters (mean standardized uptake values) and found a 368

significant association between NIRTRS and 18

F-FDG PET/CT parameters. Moreover, there was no 369

difference between the NIRTRS parameters at 27ºC and during the 2-h cold exposure at 19 ºC in the 370

supraclavicular region which means NIRTRS may be capable of assessing BAT at room temperature 371

[97] (Figure 6). When subjects are exposed to thermogenic capsinoids ingested orally for 8 weeks, 372

Page 12: Elsevier Editorial System(tm) for Diabetes & Metabolism

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65

11

NIRTRS was able to detect an increase in BAT density during the 8-week treatment and a decrease 373

8-week follow-up period which means NIRTRS can be used for quantitative assessment of BAT in 374

longitudinal intervention studies in humans where 18

F-FDG PET/CT is difficult to use [98]. NIRTRS is 375

probably optimal for BAT evaluation only in supraclavicular region because other regions are greatly 376

influenced by hemoglobin and myoglobin concentrations in the muscle. However, NIRTRS method is 377

non-invasive, simple, and inexpensive and therefore is useful for detecting human BAT in the 378

supraclavicular region in normal and long term intervention studies with high sensitivity, specificity, 379

and accuracy [98]. It is also possible to combine NIRS with IRT to image BAT. 380

381

Ultrasound imaging (US) 382

Contrast-enhanced ultrasound (US) is a non-invasive method which can estimate blood flow to a 383

tissue by visualizing and quantifying intravenously infused microbubbles [99]. Contrast-enhanced US 384

has been established in cardiology without using ionising radiation and validated in the estimation of 385

myocardial blood flow in humans [100]. Continuous real-time imaging performed using contrast-386

enhanced US has been shown to reliably detect microvascular blood volume changes in skeletal 387

muscle and subcutaneous adipose tissue in humans [101, 102] . The blood flow in human 388

subcutaneous abdominal adipose tissue increases in the postprandial state as well as during and 389

after exercise probably related to lipid mobilization or deposition of lipids in the tissue, [102, 103], 390

since BAT is a highly vascularized tissue and BAT activation is associated with increased blood flow 391

and perfusion rate in humans [33, 56]. Hence, contrast-enhanced US may be a useful method to 392

evaluate the activation of BAT in humans. The presence of blood flow area imaged by contrast-393

enhanced ultrasound co-localized with BAT, as detected by 18

F-FDG PET/CT [104] (Figure 7). 394

Contrast-enhanced US as a non-invasive, nonionizing imaging feasibility may be a useful technique in 395

the assessment of BAT and BAT-targeted therapies by estimating BAT blood flow. However, it should 396

be noted that the measurements of BAT volume will be not reliable when subject’s BAT 397

vascularization and blood flow are significantly impaired, a factor limiting its accuracy in obese or 398

diabetic humans. 399

400

Conclusions 401

Apart from adipose tissue biopsy, several non-invasive imaging methods including PET/CT, MRI, IRT, 402

NIRTRS and contrast-enhanced US can be used to assess BAT. Although a number of recent 403

imaging advances have been made, it is clear that each technique has limitations and none is 404

superior in all aspects of evaluating BAT comprehensively (Table). Tissue biopsy is the only way to 405

accurately distinguish classical BAT from beige/brite BAT. Identified differences between brown and 406

beige/brite adipocytes currently reside at the cellular and genetic levels. While PET/CT has been the 407

most widely used imaging modality to study BAT activity and prevalence, it will eventually be 408

superseded by other precise imaging modalities lower in risks and costs. SPECT-CT utilizes tracers to 409

Page 13: Elsevier Editorial System(tm) for Diabetes & Metabolism

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65

12

detect BAT density and mitochondrial activity. However, just as for PET/CT, this method is also 410

limited by high costs, ionizing radiation and only metabolically active BAT detection. 411

MRI is a powerful and comprehensive imaging tool for BAT quantification. Perfusion techniques can 412

augment its capability to detect BAT metabolic activity through changes in oxygen consumption and 413

blood flow after BAT activation. Hence, MRI has the potential ability to detect both active and inactive 414

BAT without using ionizing radiation. MRI is likely to play a paramount role in BAT research 415

particularly if its costs can subsequently be reduced. Continued development and validation of MRI to 416

study BAT function are needed. 417

IRT, NIRTRS and contrast-enhanced US are also imaging modalities that do not employ ionizing 418

radiation. IRT detects BAT through skin temperature and heat emission overlying BAT in humans 419

while NIRTRS measures BAT density. However, their utility is restricted mainly to BAT localized to the 420

supraclavicular region. Contrast-enhanced US is based on detection of blood flow as a proxy of BAT 421

function. However, these three methods for BAT research require further validation. 422

In humans, the heterogenous appearance of beige adipocytes presents a challenge in assessing BAT 423

volume and mass. Continued refinement of presently available methods will escalate research that 424

ultimately increase our understanding of BAT metabolic regulation. 425

Page 14: Elsevier Editorial System(tm) for Diabetes & Metabolism

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65

13

References 426

[1] Smith RE, Horwitz BA. Brown fat and thermogenesis. Physiol Rev 1969;49(2):330-425. 427 [2] Benito M. Contribution of brown fat to the neonatal thermogenesis. Biol Neonate 428

1985;48(4):245-9. 429 [3] Bartelt A, Heeren J. The holy grail of metabolic disease: brown adipose tissue. Curr Opin 430

Lipidol 2012;23(3):190-5. 431 [4] Chondronikola M, Volpi E, Borsheim E, Porter C, Saraf MK, Annamalai P, et al. Brown Adipose 432

Tissue Activation Is Linked to Distinct Systemic Effects on Lipid Metabolism in Humans. Cell 433 metabolism 2016;23(6):1200-6. 434

[5] Stanford KI, Middelbeek RJ, Townsend KL, An D, Nygaard EB, Hitchcox KM, et al. Brown 435 adipose tissue regulates glucose homeostasis and insulin sensitivity. J Clin Invest 436 2013;123(1):215-23. 437

[6] Hany TF, Gharehpapagh E, Kamel EM, Buck A, Himms-Hagen J, von Schulthess GK. Brown 438 adipose tissue: a factor to consider in symmetrical tracer uptake in the neck and upper chest 439 region. European journal of nuclear medicine and molecular imaging 2002;29(10):1393-8. 440

[7] Wu J, Bostrom P, Sparks LM, Ye L, Choi JH, Giang AH, et al. Beige adipocytes are a distinct 441 type of thermogenic fat cell in mouse and human. Cell 2012;150(2):366-76. 442

[8] Ishibashi J, Seale P. Medicine. Beige can be slimming. Science 2010;328(5982):1113-4. 443 [9] Giralt M, Villarroya F. White, brown, beige/brite: different adipose cells for different 444

functions? Endocrinology 2013;154(9):2992-3000. 445 [10] Lee P, Swarbrick MM, Ho KK. Brown adipose tissue in adult humans: a metabolic renaissance. 446

Endocr Rev 2013;34(3):413-38. 447 [11] Wu J, Cohen P, Spiegelman BM. Adaptive thermogenesis in adipocytes: is beige the new 448

brown? Genes Dev 2013;27(3):234-50. 449 [12] Nedergaard J, Bengtsson T, Cannon B. Unexpected evidence for active brown adipose tissue 450

in adult humans. Am J Physiol Endocrinol Metab 2007;293(2):E444-52. 451 [13] Ouellet V, Routhier-Labadie A, Bellemare W, Lakhal-Chaieb L, Turcotte E, Carpentier AC, et al. 452

Outdoor temperature, age, sex, body mass index, and diabetic status determine the 453 prevalence, mass, and glucose-uptake activity of 18F-FDG-detected BAT in humans. J Clin 454 Endocrinol Metab 2011;96(1):192-9. 455

[14] Zingaretti MC, Crosta F, Vitali A, Guerrieri M, Frontini A, Cannon B, et al. The presence of 456 UCP1 demonstrates that metabolically active adipose tissue in the neck of adult humans 457 truly represents brown adipose tissue. FASEB J 2009;23(9):3113-20. 458

[15] Lee P, Zhao JT, Swarbrick MM, Gracie G, Bova R, Greenfield JR, et al. High prevalence of 459 brown adipose tissue in adult humans. J Clin Endocrinol Metab 2011;96(8):2450-5. 460

[16] Bartelt A, Bruns OT, Reimer R, Hohenberg H, Ittrich H, Peldschus K, et al. Brown adipose 461 tissue activity controls triglyceride clearance. Nat Med 2011;17(2):200-5. 462

[17] Enerback S. The origins of brown adipose tissue. N Engl J Med 2009;360(19):2021-3. 463 [18] Rousset S, Alves-Guerra MC, Mozo J, Miroux B, Cassard-Doulcier AM, Bouillaud F, et al. The 464

biology of mitochondrial uncoupling proteins. Diabetes 2004;53 Suppl 1:S130-5. 465 [19] Rothwell NJ, Stock MJ. Luxuskonsumption, diet-induced thermogenesis and brown fat: the 466

case in favour. Clin Sci (Lond) 1983;64(1):19-23. 467 [20] Gesta S, Tseng YH, Kahn CR. Developmental origin of fat: tracking obesity to its source. Cell 468

2007;131(2):242-56. 469 [21] Fruhbeck G, Becerril S, Sainz N, Garrastachu P, Garcia-Velloso MJ. BAT: a new target for 470

human obesity? Trends Pharmacol Sci 2009;30(8):387-96. 471 [22] Carobbio S, Rosen B, Vidal-Puig A. Adipogenesis: new insights into brown adipose tissue 472

differentiation. J Mol Endocrinol 2013;51(3):T75-85. 473 [23] Barbatelli G, Murano I, Madsen L, Hao Q, Jimenez M, Kristiansen K, et al. The emergence of 474

cold-induced brown adipocytes in mouse white fat depots is determined predominantly by 475

Page 15: Elsevier Editorial System(tm) for Diabetes & Metabolism

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65

14

white to brown adipocyte transdifferentiation. Am J Physiol Endocrinol Metab 476 2010;298(6):E1244-53. 477

[24] Sidossis LS, Porter C, Saraf MK, Borsheim E, Radhakrishnan RS, Chao T, et al. Browning of 478 Subcutaneous White Adipose Tissue in Humans after Severe Adrenergic Stress. Cell 479 metabolism 2015;22(2):219-27. 480

[25] Lin J, Handschin C, Spiegelman BM. Metabolic control through the PGC-1 family of 481 transcription coactivators. Cell metabolism 2005;1(6):361-70. 482

[26] Virtanen KA, Lidell ME, Orava J, Heglind M, Westergren R, Niemi T, et al. Functional brown 483 adipose tissue in healthy adults. N Engl J Med 2009;360(15):1518-25. 484

[27] Wang L, Liu J, Saha P, Huang J, Chan L, Spiegelman B, et al. The orphan nuclear receptor SHP 485 regulates PGC-1alpha expression and energy production in brown adipocytes. Cell 486 metabolism 2005;2(4):227-38. 487

[28] Puigserver P, Wu Z, Park CW, Graves R, Wright M, Spiegelman BM. A cold-inducible 488 coactivator of nuclear receptors linked to adaptive thermogenesis. Cell 1998;92(6):829-39. 489

[29] Seale P, Kajimura S, Yang W, Chin S, Rohas LM, Uldry M, et al. Transcriptional control of 490 brown fat determination by PRDM16. Cell metabolism 2007;6(1):38-54. 491

[30] Fukui Y, Masui S, Osada S, Umesono K, Motojima K. A new thiazolidinedione, NC-2100, which 492 is a weak PPAR-gamma activator, exhibits potent antidiabetic effects and induces uncoupling 493 protein 1 in white adipose tissue of KKAy obese mice. Diabetes 2000;49(5):759-67. 494

[31] Ohno H, Shinoda K, Spiegelman BM, Kajimura S. PPARgamma agonists induce a white-to-495 brown fat conversion through stabilization of PRDM16 protein. Cell metabolism 496 2012;15(3):395-404. 497

[32] Villarroya F, Vidal-Puig A. Beyond the sympathetic tone: the new brown fat activators. Cell 498 metabolism 2013;17(5):638-43. 499

[33] Orava J, Nuutila P, Lidell ME, Oikonen V, Noponen T, Viljanen T, et al. Different metabolic 500 responses of human brown adipose tissue to activation by cold and insulin. Cell metabolism 501 2011;14(2):272-9. 502

[34] Saito M, Okamatsu-Ogura Y, Matsushita M, Watanabe K, Yoneshiro T, Nio-Kobayashi J, et al. 503 High incidence of metabolically active brown adipose tissue in healthy adult humans: effects 504 of cold exposure and adiposity. Diabetes 2009;58(7):1526-31. 505

[35] Cohade C, Mourtzikos KA, Wahl RL. "USA-Fat": prevalence is related to ambient outdoor 506 temperature-evaluation with 18F-FDG PET/CT. Journal of nuclear medicine : official 507 publication, Society of Nuclear Medicine 2003;44(8):1267-70. 508

[36] Cohade C, Osman M, Pannu HK, Wahl RL. Uptake in supraclavicular area fat ("USA-Fat"): 509 description on 18F-FDG PET/CT. Journal of nuclear medicine : official publication, Society of 510 Nuclear Medicine 2003;44(2):170-6. 511

[37] M UD, Raiko J, Saari T, Kudomi N, Tolvanen T, Oikonen V, et al. Human brown adipose tissue 512 [(15)O]O2 PET imaging in the presence and absence of cold stimulus. European journal of 513 nuclear medicine and molecular imaging 2016;43(10):1878-86. 514

[38] Hadi M, Chen CC, Whatley M, Pacak K, Carrasquillo JA. Brown fat imaging with (18)F-6-515 fluorodopamine PET/CT, (18)F-FDG PET/CT, and (123)I-MIBG SPECT: a study of patients 516 being evaluated for pheochromocytoma. Journal of nuclear medicine : official publication, 517 Society of Nuclear Medicine 2007;48(7):1077-83. 518

[39] Muzik O, Mangner TJ, Granneman JG. Assessment of oxidative metabolism in brown fat 519 using PET imaging. Front Endocrinol (Lausanne) 2012;3:15. 520

[40] Quarta C, Lodi F, Mazza R, Giannone F, Boschi L, Nanni C, et al. (11)C-meta-521 hydroxyephedrine PET/CT imaging allows in vivo study of adaptive thermogenesis and 522 white-to-brown fat conversion. Mol Metab 2013;2(3):153-60. 523

[41] Chen KY, Brychta RJ, Linderman JD, Smith S, Courville A, Dieckmann W, et al. Brown fat 524 activation mediates cold-induced thermogenesis in adult humans in response to a mild 525 decrease in ambient temperature. J Clin Endocrinol Metab 2013;98(7):E1218-23. 526

Page 16: Elsevier Editorial System(tm) for Diabetes & Metabolism

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65

15

[42] Yoneshiro T, Aita S, Matsushita M, Kameya T, Nakada K, Kawai Y, et al. Brown adipose tissue, 527 whole-body energy expenditure, and thermogenesis in healthy adult men. Obesity (Silver 528 Spring) 2011;19(1):13-6. 529

[43] Ben-Haim S, Ell P. 18F-FDG PET and PET/CT in the evaluation of cancer treatment response. 530 Journal of nuclear medicine : official publication, Society of Nuclear Medicine 2009;50(1):88-531 99. 532

[44] Phelps ME, Huang SC, Hoffman EJ, Selin C, Sokoloff L, Kuhl DE. Tomographic measurement of 533 local cerebral glucose metabolic rate in humans with (F-18)2-fluoro-2-deoxy-D-glucose: 534 validation of method. Ann Neurol 1979;6(5):371-88. 535

[45] Cannon B, Nedergaard J. Brown adipose tissue: function and physiological significance. 536 Physiol Rev 2004;84(1):277-359. 537

[46] Gilsanz V, Smith ML, Goodarzian F, Kim M, Wren TA, Hu HH. Changes in brown adipose 538 tissue in boys and girls during childhood and puberty. J Pediatr 2012;160(4):604-9 e1. 539

[47] Cypess AM, Lehman S, Williams G, Tal I, Rodman D, Goldfine AB, et al. Identification and 540 importance of brown adipose tissue in adult humans. N Engl J Med 2009;360(15):1509-17. 541

[48] Yeung HW, Grewal RK, Gonen M, Schoder H, Larson SM. Patterns of (18)F-FDG uptake in 542 adipose tissue and muscle: a potential source of false-positives for PET. Journal of nuclear 543 medicine : official publication, Society of Nuclear Medicine 2003;44(11):1789-96. 544

[49] Lee P, Greenfield JR, Ho KK, Fulham MJ. A critical appraisal of the prevalence and metabolic 545 significance of brown adipose tissue in adult humans. Am J Physiol Endocrinol Metab 546 2010;299(4):E601-6. 547

[50] Soret M, Bacharach SL, Buvat I. Partial-volume effect in PET tumor imaging. Journal of 548 nuclear medicine : official publication, Society of Nuclear Medicine 2007;48(6):932-45. 549

[51] Yan J, Lim JC, Townsend DW. MRI-guided brain PET image filtering and partial volume 550 correction. Physics in medicine and biology 2015;60(3):961-76. 551

[52] Zaidi H, El Naqa I. PET-guided delineation of radiation therapy treatment volumes: a survey 552 of image segmentation techniques. European journal of nuclear medicine and molecular 553 imaging 2010;37(11):2165-87. 554

[53] Chen KY, Cypess AM, Laughlin MR, Haft CR, Hu HH, Bredella MA, et al. Brown Adipose 555 Reporting Criteria in Imaging STudies (BARCIST 1.0): Recommendations for Standardized 556 FDG-PET/CT Experiments in Humans. Cell metabolism 2016;24(2):210-22. 557

[54] Carey AL, Formosa MF, Van Every B, Bertovic D, Eikelis N, Lambert GW, et al. Ephedrine 558 activates brown adipose tissue in lean but not obese humans. Diabetologia 2013;56(1):147-559 55. 560

[55] Ouellet V, Labbe SM, Blondin DP, Phoenix S, Guerin B, Haman F, et al. Brown adipose tissue 561 oxidative metabolism contributes to energy expenditure during acute cold exposure in 562 humans. J Clin Invest 2012;122(2):545-52. 563

[56] Muzik O, Mangner TJ, Leonard WR, Kumar A, Janisse J, Granneman JG. 15O PET 564 measurement of blood flow and oxygen consumption in cold-activated human brown fat. 565 Journal of nuclear medicine : official publication, Society of Nuclear Medicine 566 2013;54(4):523-31. 567

[57] Madar I, Isoda T, Finley P, Angle J, Wahl R. 18F-fluorobenzyl triphenyl phosphonium: a 568 noninvasive sensor of brown adipose tissue thermogenesis. Journal of nuclear medicine : 569 official publication, Society of Nuclear Medicine 2011;52(5):808-14. 570

[58] Franz D, Karampinos DC, Rummeny EJ, Souvatzoglou M, Beer AJ, Nekolla SG, et al. 571 Discrimination Between Brown and White Adipose Tissue Using a 2-Point Dixon Water-Fat 572 Separation Method in Simultaneous PET/MRI. Journal of nuclear medicine : official 573 publication, Society of Nuclear Medicine 2015;56(11):1742-7. 574

[59] Higuchi T, Kinuya S, Taki J, Nakajima K, Ikeda M, Namura M, et al. Brown adipose tissue: 575 evaluation with 201Tl and 99mTc-sestamibi dual-tracer SPECT. Ann Nucl Med 576 2004;18(6):547-9. 577

Page 17: Elsevier Editorial System(tm) for Diabetes & Metabolism

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65

16

[60] Goetze S, Lavely WC, Ziessman HA, Wahl RL. Visualization of brown adipose tissue with 578 99mTc-methoxyisobutylisonitrile on SPECT/CT. Journal of nuclear medicine : official 579 publication, Society of Nuclear Medicine 2008;49(5):752-6. 580

[61] Okuyama C, Ushijima Y, Kubota T, Yoshida T, Nakai T, Kobayashi K, et al. 123I-581 Metaiodobenzylguanidine uptake in the nape of the neck of children: likely visualization of 582 brown adipose tissue. Journal of nuclear medicine : official publication, Society of Nuclear 583 Medicine 2003;44(9):1421-5. 584

[62] Moller S, Mortensen C, Bendtsen F, Jensen LT, Gotze JP, Madsen JL. Cardiac sympathetic 585 imaging with mIBG in cirrhosis and portal hypertension: relation to autonomic and cardiac 586 function. Am J Physiol Gastrointest Liver Physiol 2012;303(11):G1228-35. 587

[63] Watanabe N, Seto H, Ishiki M, Shimizu M, Kageyama M, Wu YW, et al. I-123 MIBG imaging of 588 metastatic carcinoid tumor from the rectum. Clin Nucl Med 1995;20(4):357-60. 589

[64] Ochoa-Figueroa MA, Munoz-Iglesias J, Allende-Riera A, Cabello-Garcia D, Martinez-Gimeno E, 590 Desequera-Rahola M. Incidental uptake of 123I MIBG in brown fat. Rev Esp Med Nucl 591 Imagen Mol 2012;31(5):290-1. 592

[65] Bahler L, Verberne HJ, Admiraal WM, Stok WJ, Soeters MR, Hoekstra JB, et al. Differences in 593 Sympathetic Nervous Stimulation of Brown Adipose Tissue Between the Young and Old, and 594 the Lean and Obese. Journal of nuclear medicine : official publication, Society of Nuclear 595 Medicine 2016;57(3):372-7. 596

[66] Admiraal WM, Holleman F, Bahler L, Soeters MR, Hoekstra JB, Verberne HJ. Combining 123I-597 metaiodobenzylguanidine SPECT/CT and 18F-FDG PET/CT for the assessment of brown 598 adipose tissue activity in humans during cold exposure. Journal of nuclear medicine : official 599 publication, Society of Nuclear Medicine 2013;54(2):208-12. 600

[67] Okuyama C, Sakane N, Yoshida T, Shima K, Kurosawa H, Kumamoto K, et al. (123)I- or (125)I-601 metaiodobenzylguanidine visualization of brown adipose tissue. Journal of nuclear medicine : 602 official publication, Society of Nuclear Medicine 2002;43(9):1234-40. 603

[68] Gelfand MJ. 123I-MIBG uptake in the neck and shoulders of a neuroblastoma patient: 604 damage to sympathetic innervation blocks uptake in brown adipose tissue. Pediatr Radiol 605 2004;34(7):577-9. 606

[69] Bombardieri E, Giammarile F, Aktolun C, Baum RP, Bischof Delaloye A, Maffioli L, et al. 607 131I/123I-metaiodobenzylguanidine (mIBG) scintigraphy: procedure guidelines for tumour 608 imaging. European journal of nuclear medicine and molecular imaging 2010;37(12):2436-46. 609

[70] Maublant JC, Moins N, Gachon P, Renoux M, Zhang Z, Veyre A. Uptake of technetium-99m-610 teboroxime in cultured myocardial cells: comparison with thallium-201 and technetium-611 99m-sestamibi. Journal of nuclear medicine : official publication, Society of Nuclear 612 Medicine 1993;34(2):255-9. 613

[71] Kyparos D, Arsos G, Georga S, Petridou A, Kyparos A, Papageorgiou E, et al. Assessment of 614 brown adipose tissue activity in rats by 99mTc-sestamibi uptake. Physiol Res 2006;55(6):653-615 9. 616

[72] Wong KK, Brown RK, Avram AM. Potential False Positive Tc-99m Sestamibi Parathyroid Study 617 Due to Uptake in Brown Adipose Tissue. Clinical Nuclear Medicine 2008;33(5):346-8. 618

[73] Belhocine T, Shastry A, Driedger A, Urbain JL. Detection of 99mTc-sestamibi uptake in brown 619 adipose tissue with SPECT-CT. European journal of nuclear medicine and molecular imaging 620 2007;34(1):149. 621

[74] Bernard BF, Krenning EP, Breeman WAP, Ensing G, Benjamins H, Bakker WH, et al. 99mTc-622 MIBI, 99mTc-Tetrofosmin and 99mTc-Q12 In Vitro and In Vivo. Nuclear Medicine and Biology 623 1998;25(3):233-40. 624

[75] Fukuchi K, Ono Y, Nakahata Y, Okada Y, Hayashida K, Ishida Y. Visualization of Interscapular 625 Brown Adipose Tissue Using 99mTc-Tetrofosmin in Pediatric Patients. Journal of Nuclear 626 Medicine 2003;44(10):1582-5. 627

Page 18: Elsevier Editorial System(tm) for Diabetes & Metabolism

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65

17

[76] Chen YC, Cypess AM, Chen YC, Palmer M, Kolodny G, Kahn CR, et al. Measurement of human 628 brown adipose tissue volume and activity using anatomic MR imaging and functional MR 629 imaging. Journal of nuclear medicine : official publication, Society of Nuclear Medicine 630 2013;54(9):1584-7. 631

[77] Rasmussen JM, Entringer S, Nguyen A, van Erp TG, Burns J, Guijarro A, et al. Brown adipose 632 tissue quantification in human neonates using water-fat separated MRI. PLoS One 633 2013;8(10):e77907. 634

[78] van Rooijen BD, van der Lans AA, Brans B, Wildberger JE, Mottaghy FM, Schrauwen P, et al. 635 Imaging cold-activated brown adipose tissue using dynamic T2*-weighted magnetic 636 resonance imaging and 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography. 637 Invest Radiol 2013;48(10):708-14. 638

[79] Hu HH, Perkins TG, Chia JM, Gilsanz V. Characterization of human brown adipose tissue by 639 chemical-shift water-fat MRI. AJR Am J Roentgenol 2013;200(1):177-83. 640

[80] Gifford A, Towse TF, Walker RC, Avison MJ, Welch EB. Characterizing active and inactive 641 brown adipose tissue in adult humans using PET-CT and MR imaging. Am J Physiol Endocrinol 642 Metab 2016;311(1):E95-E104. 643

[81] Khanna A, Branca RT. Detecting brown adipose tissue activity with BOLD MRI in mice. Magn 644 Reson Med 2012;68(4):1285-90. 645

[82] Richter W, Lee S, Warren WS, He Q. Imaging with intermolecular multiple-quantum 646 coherences in solution nuclear magnetic resonance. Science 1995;267(5198):654-7. 647

[83] Branca RT, Warren WS. In vivo brown adipose tissue detection and characterization using 648 water-lipid intermolecular zero-quantum coherences. Magn Reson Med 2011;65(2):313-9. 649

[84] Branca RT, Zhang L, Warren WS, Auerbach E, Khanna A, Degan S, et al. In vivo noninvasive 650 detection of Brown Adipose Tissue through intermolecular zero-quantum MRI. PLoS One 651 2013;8(9):e74206. 652

[85] Bao J, Cui X, Cai S, Zhong J, Cai C, Chen Z. Brown adipose tissue mapping in rats with 653 combined intermolecular double-quantum coherence and Dixon water-fat MRI. NMR 654 Biomed 2013;26(12):1663-71. 655

[86] Branca RT, He T, Zhang L, Floyd CS, Freeman M, White C, et al. Detection of brown adipose 656 tissue and thermogenic activity in mice by hyperpolarized xenon MRI. Proc Natl Acad Sci U S 657 A 2014;111(50):18001-6. 658

[87] Bruns OT, Ittrich H, Peldschus K, Kaul MG, Tromsdorf UI, Lauterwasser J, et al. Real-time 659 magnetic resonance imaging and quantification of lipoprotein metabolism in vivo using 660 nanocrystals. Nat Nanotechnol 2009;4(3):193-201. 661

[88] Crane JD, Mottillo EP, Farncombe TH, Morrison KM, Steinberg GR. A standardized infrared 662 imaging technique that specifically detects UCP1-mediated thermogenesis in vivo. Mol 663 Metab 2014;3(4):490-4. 664

[89] Symonds ME, Henderson K, Elvidge L, Bosman C, Sharkey D, Perkins AC, et al. Thermal 665 imaging to assess age-related changes of skin temperature within the supraclavicular region 666 co-locating with brown adipose tissue in healthy children. J Pediatr 2012;161(5):892-8. 667

[90] Ang QY, Goh HJ, Cao Y, Li Y, Chan SP, Swain JL, et al. A new method of infrared thermography 668 for quantification of brown adipose tissue activation in healthy adults (TACTICAL): a 669 randomized trial. J Physiol Sci 2016. 670

[91] Jang C, Jalapu S, Thuzar M, Law PW, Jeavons S, Barclay JL, et al. Infrared thermography in the 671 detection of brown adipose tissue in humans. Physiol Rep 2014;2(11). 672

[92] Lee P, Ho KK, Lee P, Greenfield JR, Ho KK, Greenfield JR. Hot fat in a cool man: infrared 673 thermography and brown adipose tissue. Diabetes Obes Metab 2011;13(1):92-3. 674

[93] Gatidis S, Schmidt H, Pfannenberg CA, Nikolaou K, Schick F, Schwenzer NF. Is It Possible to 675 Detect Activated Brown Adipose Tissue in Humans Using Single-Time-Point Infrared 676 Thermography under Thermoneutral Conditions? Impact of BMI and Subcutaneous Adipose 677 Tissue Thickness. PLoS One 2016;11(3):e0151152. 678

Page 19: Elsevier Editorial System(tm) for Diabetes & Metabolism

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65

18

[94] Jobsis FF. Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency 679 and circulatory parameters. Science 1977;198(4323):1264-7. 680

[95] Beauvoit B, Chance B. Time-resolved spectroscopy of mitochondria, cells and tissues under 681 normal and pathological conditions. Mol Cell Biochem 1998;184(1-2):445-55. 682

[96] Hamaoka T, McCully KK, Quaresima V, Yamamoto K, Chance B. Near-infrared 683 spectroscopy/imaging for monitoring muscle oxygenation and oxidative metabolism in 684 healthy and diseased humans. J Biomed Opt 2007;12(6):062105. 685

[97] Nirengi S, Yoneshiro T, Sugie H, Saito M, Hamaoka T. Human brown adipose tissue assessed 686 by simple, noninvasive near-infrared time-resolved spectroscopy. Obesity (Silver Spring) 687 2015;23(5):973-80. 688

[98] Nirengi S, Homma T, Inoue N, Sato H, Yoneshiro T, Matsushita M, et al. Assessment of 689 human brown adipose tissue density during daily ingestion of thermogenic capsinoids using 690 near-infrared time-resolved spectroscopy. J Biomed Opt 2016;21(9):91305. 691

[99] Wei K, Jayaweera AR, Firoozan S, Linka A, Skyba DM, Kaul S. Quantification of myocardial 692 blood flow with ultrasound-induced destruction of microbubbles administered as a constant 693 venous infusion. Circulation 1998;97(5):473-83. 694

[100] Vogel R, Indermuhle A, Reinhardt J, Meier P, Siegrist PT, Namdar M, et al. The quantification 695 of absolute myocardial perfusion in humans by contrast echocardiography: algorithm and 696 validation. J Am Coll Cardiol 2005;45(5):754-62. 697

[101] Sjoberg KA, Rattigan S, Hiscock N, Richter EA, Kiens B. A new method to study changes in 698 microvascular blood volume in muscle and adipose tissue: real-time imaging in humans and 699 rat. Am J Physiol Heart Circ Physiol 2011;301(2):H450-8. 700

[102] Tobin L, Simonsen L, Bülow J. Real-time contrast-enhanced ultrasound determination of 701 microvascular blood volume in abdominal subcutaneous adipose tissue in man. Evidence for 702 adipose tissue capillary recruitment. Clinical Physiology and Functional Imaging 703 2010;30(6):447-52. 704

[103] Karpe F, Fielding BA, Ardilouze JL, Ilic V, Macdonald IA, Frayn KN. Effects of insulin on 705 adipose tissue blood flow in man. J Physiol 2002;540(Pt 3):1087-93. 706

[104] Flynn A, Li Q, Panagia M, Abdelbaky A, MacNabb M, Samir A, et al. Contrast-Enhanced 707 Ultrasound: A Novel Noninvasive, Nonionizing Method for the Detection of Brown Adipose 708 Tissue in Humans. J Am Soc Echocardiogr 2015;28(10):1247-54. 709

710

Page 20: Elsevier Editorial System(tm) for Diabetes & Metabolism

Figure 1. Summary of the known environmental factors (eg. cold, nutraceuticals) and endogenous factors (eg. endocrine hormones) that activate brown and/or beige adipocyte activity and induce WAT browning. TRP: transient receptor potential; PUFA: polyunsaturated fatty acids; NE: norepinephrine; PPAR: Peroxisome Proliferator Activated Receptor subtype gamma; BMP: bone morphogenetic protein; SNS: sympathetic nervous system; FGF21: fibroblast growth factor subtype 21; ANP: atrial natriuretic peptide; BNP7: brain natriuretic peptide subtype 7; NPY: Neuropeptide Y; AT2R: Angiotensin II Type 2 receptor

Brown/Beige (‘Brite’) adipocyte

Capsaicin Capsinoids Omega-3 PUFA Ginger Menthol

Brain

SNS

TRP

NE

Bile acids FGF21 Irisin Thyroid hormones

PPAR agonists BMP7 ANP/BNP NPYApelin AT2R agonists

Energy expenditure

Counteracts against obesity, diabetes and related metabolic disorders

Cold exposure

Figure

Page 21: Elsevier Editorial System(tm) for Diabetes & Metabolism

A B

C D

Figure 2. 18F-FDG PET images from a healthy 31 years old female (A) and 23 years old male (B) subject under normal temperature and after wearing cooling vest for 1.5 hours (C and D, respectively). Increased FDG uptake was seen in the supraclavicular and paravertebral regions in the female subject.

Page 22: Elsevier Editorial System(tm) for Diabetes & Metabolism

Figure 3. Brown adipose tissue visualized with 123I-MIBG SPECT/CT (C and D) and 18F-FDG PET/CT (A and B). 18F-FDG and 123I-MIBG uptake on corresponding transversal PET and SPECT images is suggestive of BAT and is superimposed on adipose tissue on correlated transversal CT images. (Reprinted with permission from reference 66.)

Page 23: Elsevier Editorial System(tm) for Diabetes & Metabolism

Figure 4. fMRI detection of BAT activity on cold challenge (13°C–16°C). Degree of BOLD signal changes (red–yellow map) is superimposed on anatomic images. On cold stimulation, significant BOLD signal increases were found in regions identified as having BAT for subjects 1–3 (such as areas indicated by green circles). (Reprinted with permission from reference 76.)

Page 24: Elsevier Editorial System(tm) for Diabetes & Metabolism

A B C

D E F

Figure 5. Infrared thermograms of a 31-year old female confirmed as BAT-positive by 18F-FDG PET before (A), 1 hour post-cooling

vest (B) and 2 hours post-cooling vest (C) and a 23-year old male confirmed as BAT-negative by 18F-FDG PET before (D), 1 hour

post-cooling vest (E) and 2 hours post-cooling vest showing higher temperature in the supraclavicular fossa in the BAT-positive (31-

year old female) than the BAT-negative subject (23-year old male).

Page 25: Elsevier Editorial System(tm) for Diabetes & Metabolism

Figure 6. (A-C) The near-infrared time-resolved spectroscopy (NIRTRS) probe was placed in the supraclavicular region potentially containing brown adipose tissue (BAT) (corresponding to the black arrow heads in D and E panels), subclavicular region (corresponding to the white arrow heads in D and E panels), and deltoid muscle region (corresponding to the thin arrows) separated from BAT deposits. (D, E) Typical 18F-FDG PET/CT images. (Reprinted with permission from reference 97.)

Page 26: Elsevier Editorial System(tm) for Diabetes & Metabolism

A B

Figure 7. (A) Representative ultrasound image of BAT, located between the trapezius and sternocleidomastoid (SCM) muscles. The center of the adipose tissue ROI is approximately 1.5 cm below the skin surface. (B) Representative coronal 18F-FDG PET/CT image demonstrating 18F-FDG uptake in the region imaged by ultrasound. (Reprinted with permission from reference 104.)

Page 27: Elsevier Editorial System(tm) for Diabetes & Metabolism

Table

Main Imaging Modality Principle Advantage Disadvantage

18F-FDG PET/CT

Glucose metabolism with anatomic overlay

Widely used, extensive studies in clinical experience, showing BAT activation, excellent anatomic localization (CT spatial resolution: 0.5~1 mm), short acquisition time of 1-4 min.

Significant amount of ionizing radiation exposure, expensive (~$1500/scan), glucose is not the only energy source for BAT, limited sensitivity, moderate PET spatial resolution (6-10 mm).

18F-FDG PET/MR

Glucose metabolism with anatomic overlay

Lower amount of ionizing radiation than PET/CT, excellent anatomic localization (PET spatial resolution: 0.2 mm), capable of showing inactive and activated BAT

Very expensive (~$2000 /scan), glucose is not the only energy source for BAT, moderate PET spatial resolution (6-10 mm) and acquisition time of 1-10 min depending on the sequences used.

SPECT/CT

Sympathetic stimulation and activation with anatomic overlay

Utilize tracers to detect BAT density and mitochondrial activity, strong correlation with

18F-FDG PET/CT ,

excellent anatomic localization (CT spatial resolution: 0.5~1 mm)

Expensive (~$1000/scan), ionizing radiation and only metabolically active BAT detection, poor SPECT spatial resolution (7-15 mm) and acquisition time of 4-8 min.

MRI Fat water fraction

No ionizing radiation , detect inactivated BAT (fat fraction), able to detect activated BAT in functional BOLD-fMRI, widely available technique, excellent MR resolution (0.2 mm) and acquisition time of 1-10 min depending on the sequences used.

Noise sensitive, still quite costly (~$600/hour), limited specificity

IRT Skin temperature difference

No ionizing radiation, much lower cost , convenient, readily repeatable, short acquisition time of 1 s

Limited to superficially BAT depots, particularly over the supraclavicular area; uncertainty of skin temperature change arising from blood flow or thermogenic response in activated BAT, moderate spatial resolution (5 mm)

NIRS Oxygen content Non-invasive, simple, and inexpensive, short acquisition time of 1 ms

Limited to supraclavicular region, poor spatial resolution (10 mm)

Contrast-enhanced US Blood flow and perfusion

No ionizing radiation, lower cost, dynamic imaging possible, excellent MR resolution (0.1-1 mm), short acquisition time of 1 min

May not be reliable in some patients, difficult in tracing small clusters of BAT especially in humans, operator dependence

Table