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International Journal of Obesity Supplements logoLink to International Journal of Obesity Supplements
. 2012 Dec 11;2(Suppl 2):S37–S42. doi: 10.1038/ijosup.2012.21

Metabolic inflexibility of white and brown adipose tissues in abnormal fatty acid partitioning of type 2 diabetes

T Grenier-Larouche 1, S M Labbé 1, C Noll 1, D Richard 2, A C Carpentier 1,*
PMCID: PMC4850609  PMID: 27152152

Abstract

Type 2 diabetes (T2D) is characterized by a general dysregulation of postprandial energy substrate partitioning. Although classically described in regard to glucose metabolism, it is now evident that metabolic inflexibility of plasma lipid fluxes is also present in T2D. The organ that is most importantly involved in the latter metabolic defect is the white adipose tissue (WAT). Both catecholamine-induced nonesterified fatty acid mobilization and insulin-stimulated storage of meal fatty acids are impaired in many WAT depots of insulin-resistant individuals. Novel molecular imaging techniques now demonstrate that these defects are linked to increased dietary fatty acid fluxes toward lean organs and myocardial dysfunction in humans. Recent findings also demonstrate functional abnormalities of brown adipose tissues in T2D, thus suggesting that a generalized adipose tissue dysregulation of energy storage and dissipation may be at play in the development of lean tissue energy overload and lipotoxicity.

Keywords: fatty acids, white adipose tissues, brown adipose tissues, catecholamine resistance, insulin resistance, nonshivering thermogenesis

Introduction

Metabolic inflexibility has been described as the inability to switch from lipid oxidation during fasting to carbohydrate oxidation in the postprandial state. Although this concept was originally described in the context of the disturbance of glucose metabolism in insulin resistance,1 there is evidence that the metabolic inflexibility of lipid fluxes is also implicated in the pathogenesis of type 2 diabetes (T2D) and obesity (Figure 1). The physiological regulation exerted by white adipose tissues (WATs) on fasting and postprandial lipid kinetics has been investigated for decades. During fasting, lipolysis of triglycerides (TGs) contained in white adipocytes contributes to the majority of the circulating nonesterified fatty acid (NEFA) pool. Quantitatively, this process is mainly driven by intracellular lipolysis in the abdominal subcutaneous adipose tissues (SCATs), followed by femoral SCAT and visceral adipose tissues (VATs).2 During the postprandial state, insulin inhibits intracellular lipolytic activity in WATs, promotes the transcriptional activation of lipoprotein lipase (LPL), its translocation from adipocytes to the AT capillary bed and its activation.3, 4 These activation mechanisms are set into play in a matter of minutes to hours and lead to hydrolysis of dietary TG from chylomicrons preferentially in adipose tissues.5, 6 However, only a fraction of the fatty acids produced from this process in adipose tissue capillary beds are esterified and trapped in adipocytes. Actually, the relative adipose tissue fatty acid storage efficiency is dependent on the concentration of NEFA in the interstitium and on insulin stimulation. Indeed, up to 50% of the fatty acids generated from circulating TG lipolysis in adipose tissues readily recirculate into the systemic bloodstream and contribute to raise postprandial NEFA.7 This process, suspected of being implicated in lean tissue fatty acid overexposure and lipotoxicity, was coined ‘NEFA spillover' by Unger and Zhou.8 During the past decades, the inability of the WAT to properly regulate NEFA fluxes in obesity and T2D has been highlighted in several comprehensive reviews.9, 10, 11, 12, 13

Figure 1.

Figure 1

Schematic representation of WAT metabolic inflexibility in T2D. (a) Reduction of dietary fatty acid uptake in WAT, probably mediated by LPL-dependent (1) and LPL-independent (2) mechanisms, contributes to postprandial dietary fatty acid spillover toward lean organs (3). Downregulation of β2-AR impairs catecholamine-induced lipolysis and the release of NEFA during fasting (4). The combination of these defects leads to reduced intracellular TG turnover in WAT (5). Stimulation of β1-AR and β3-AR promotes UCP-1 and PCG-1a expression (6) and then leads to mitochondrial biogenesis, higher thermogenic capacity and trans-differentiation of white adipocytes into brown-like adipocytes. Classical BAT depots (b) preferentially use intracellular pool of lipids as an energy source for cold-induced thermogenesis (7). Insulin increases glucose uptake in BAT but does not necessarily induce thermogenesis (8). Adrenergic stimulation increases lipolysis and UCP1 and PCG1A expression (9). The increase in intracellular NEFA inhibits adenylyl cyclase activity as a negative feedback (10). It is still unknown whether the observed reduction in spontaneously metabolically active BAT in obesity and T2D results from abnormalities in insulin and/or catecholamine signaling that are analogous to those observed in WAT. Red arrows: trends of changes in insulin resistance and obesity. Dashed arrows: metabolic pathways under investigation. Red question marks: possible mechanisms of metabolic dysfunction in insulin resistance and obesity.

On the other hand, brown adipose tissue (BAT) is a specialized tissue, the function of which is to produce heat. BAT is highly vascularized and richly innervated by terminal fibers arising from postganglionic neurons of the sympathetic nervous system (SNS). Until recent studies showing 18Fluoro-deoxyglucose (18FDG) uptake in BAT using positron emission tomography coupled to computed tomography (PET/CT), BAT was thought to have metabolic importance only in small mammals and newborn humans. However, we now know that adult humans have several discrete areas of active BAT depots.14, 15, 16 In this regard, BAT may have a more important role than initially thought, emerging as an important regulator of whole-body energy homeostasis. WAT is the primary site of energy storage, whereas BAT is specialized in energy expenditure. For this reason, the balance between WAT and BAT could possibly affect systemic energy balance and may contribute to the development of obesity and insulin resistance. Some studies show that obese and diabetic subjects have a lower prevalence of spontaneously metabolically active BAT compared with lean, young and healthy subjects.15, 16

This short review focuses on the mechanisms of WAT dysfunctions and their effects on the regulation of fatty acid fluxes toward lean organs. We will also examine whether some of these mechanisms may be shared by BAT and may contribute to the observed association between obesity and diabetes and reduced spontaneous metabolic BAT activity.

Does impaired WAT storage lead to overexposure of lean tissues to fatty acids?

We have systematically reviewed all studies published that quantified dietary fatty acid storage in adipose tissues in humans.12 From this review, we concluded that storage in adipose tissues is stimulated by higher meal fatty acid content and by consumption of a previous meal. In most studies, storage per mass of adipose tissue is higher, intermediate and lower in abdominal, gluteal and femoral SCAT, respectively. Dietary fatty acid storage also appears higher in VAT vs SCAT. Postprandial increase in adipose tissue blood flow could have a role in the postprandial increase in fatty acid storage, although the increase in WAT blood flow is more closely related to glucose than fatty acid uptake.17, 18 Clearly, insulin-mediated LPL stimulation is implicated in dietary fatty acid storage in WAT.12, 13 There is, however, evidence for a significant role of insulin-stimulated post-LPL fatty acid trapping in this process.19, 20 This is further demonstrated by our studies using intravenous heparin+intralipid infusion (that ‘clamps' LPL activity) without and with nicotinic acid administration (that inhibits intracellular lipolysis) and without and with an euglycemic hyperinsulinemic clamp showing insulin-mediated reduction of plasma NEFA appearance rate independent of LPL and intracellular lipolysis.21, 22

WAT from insulin-resistant individuals without or with T2D displays reduced dietary fatty acid storage.7, 23, 24 This impaired storage is also associated with reduced postprandial WAT blood flow and glucose uptake.7 Insulin-resistant subjects display increased spillover of NEFA from circulating TG in subcutaneous WAT.25 By using the heparin+intralipid experimental paradigm without or with nicotinic acid administration and without or with an euglycemic hyperinsulinemic clamp, we demonstrated that healthy offspring of two parents with T2D have reduced insulin-mediated suppression of plasma NEFA appearance and reduced insulin-stimulated storage of plasma NEFA compared with healthy individuals without a family history of T2D.22 This defect is, however, not fully established in these prediabetic individuals and is more readily apparent in the postprandial state in patients with established T2D.26 The main determinant of abnormal postprandial NEFA metabolism in our studies was the degree of abdominal adiposity. An interesting feature of WAT metabolic dysfunction is the increased release of lactate found in obese people with T2D compared with nondiabetic obese subjects27 or in obese women with hyperinsulinemia compared with healthy lean women.28 Furthermore, healthy normoglycemic nonobese subjects with at least two first-degree relatives with T2D have increased net lactate release from WAT per fat cell during an euglycemic hyperinsulinemic clamp compared with matched control subjects without or with a family history of T2D.29 Increased release of lactate by WAT is due to the relative adipose tissue hypoxia observed in obese, insulin-resistant subjects and may be responsible for the metabolic abnormalities and reduced capacity for adipocyte expansion observed in these individuals.30, 31, 32

Is there any evidence of a link between ectopic fat deposition and impaired WAT storage of meal fatty acids? By using PET/CT, we showed that subjects with T2D do not display increased net skeletal muscle plasma NEFA uptake rate despite increased plasma NEFA levels and turnover during the postprandial state.33 This paradoxical finding was likely explained by reduced postprandial skeletal muscle blood flow in T2D, as we found a direct relationship between muscle fractional uptake of plasma NEFA and muscle blood flow in the latter study. Therefore, at least in skeletal muscle, plasma NEFA tissue uptake is also regulated by local tissue mechanisms. By using magnetic resonance spectroscopy with 13C-labeled meal fatty acids, Ravikumar et al.34 showed increased liver and skeletal muscle dietary fatty acid deposition over 9 h postprandially in subjects with T2D. In the later study, there was no significant difference in postprandial plasma NEFA or TG, although NEFA or TG production rates were not measured. The 13C magnetic resonance spectroscopy method used by Ravikumar et al. can only measure nonoxidative dietary fatty acid tissue deposition in liver and skeletal muscles. Furthermore, this method cannot assess net dietary fatty acid uptake simultaneously in all organs.

To address these limitations, we established and validated a novel method based on oral administration of 18fluoro-6-thia-heptadecanoic acid (18FTHA), a positron-emitting long-chain fatty acid analog, with sequential PET/CT scanning in humans.35 18FTHA has a 110-min radioactive half-life and incorporates into nonoxidative fatty acid metabolic pathways and gets trapped into the mitochondrial matrix during its oxidation.36 These characteristics make 18FTHA an ideal tool for the measurement of net, cumulative tissue uptake of fatty acids, especially if delivered slowly over a few hours, as is the case for dietary fatty acids. In our study,35 we demonstrated that 18FTHA is exclusively absorbed through incorporation into chylomicron-TG at a similar rate to tritiated oleate. In healthy men, we found gradual uptake of dietary fatty acids over 3 to 4 h in most organs, with higher uptake in the liver, followed by the heart, kidneys, VAT and then resting skeletal muscles and subcutaneous WAT. By using this novel method, we recently compared subjects with impaired glucose tolerance (IGT) and healthy controls.37 As expected on the basis of previous findings by others,7, 23, 24 dietary fatty acid uptake expressed per volume of tissue was reduced in VAT and abdominal SCAT in IGT individuals. We found that increased waist circumference, increased body mass index and increased level of insulin resistance were associated with reduced WAT dietary fatty acid storage. We furthermore demonstrated that the degree of hepatic steatosis (as assessed by CT) was significantly correlated with reduced WAT dietary fatty acid uptake. However, net liver dietary fatty acid uptake was not different between IGT and control individuals, suggesting that impaired dietary fatty acid storage in WAT may not be directly responsible for ectopic liver fat deposition in prediabetic individuals. We also found no increase in dietary fatty acid uptake in skeletal muscles of subjects with IGT. Our findings lend indirect support for a possible role of impaired fatty acid oxidation in ectopic fat deposition in skeletal muscles and the liver in prediabetic and diabetic individuals. De novo lipogenesis is also a very likely mechanism for ectopic fat deposition in the liver. Detailed discussions on impaired fatty acid oxidation and de novo lipogenesis are available elsewhere.12, 38, 39, 40

We found a very significant increase in myocardial dietary fatty acid uptake in subjects with IGT that was associated with subclinical reduction in left ventricular systolic and diastolic function.37 The latter finding was also observed in a T2D rat model.41 We did not find an association between increased myocardial dietary fatty acid uptake and reduced WAT storage. Again, this points toward other local tissue regulatory processes that, in addition to impaired WAT fatty acid storage, may drive dietary fatty acid utilization in lean organs. In the heart, increased expression and function of LPL, Cd36 and carnitine palmitoyl-transferase-1 in diabetes are likely to be involved in this phenomenon.4, 41

Insulin and catecholamine resistance in WAT

Lipolysis in WAT is mainly controlled by the intracellular pool of cyclic adenosine monophosphate and the subsequent activation of protein kinase A (PKA). Active PKA phosphorylates hormone-sensitive lipase and perilipin-1, which allows their translocation to the lipid droplets. Adipose triglycerides lipase (ATGL) catalyzes the conversion of TG in DAG and is the rate-limiting enzyme for NEFA release into the bloodstream. PKA does not directly interact with ATGL, but perilipin-1 phosphorylation leads to the recruitment of CGI-58 and the activation of ATGL (reviewed in Jocken and Blaak42). Phosphorylation of AKT/PKB by insulin promotes the degradation of cyclic adenosine monophosphate by phosphodiesterase 3B (PDE3B) and inhibits lipolysis. As insulin resistance is an important pathophysiological feature of T2D, resistance to the antilipolytic action of insulin in WAT has been proposed to explain the increased NEFA appearance observed in these subjects. This hypothesis has been recently challenged by a systematic review that showed only a modest difference of plasma NEFA concentrations between lean (n=953) and obese (n=1410) subjects.43 NEFA release (in kg) of WAT negatively correlates with body mass index and fasting insulinemia. The latter data suggest that obese subjects have slower adipose tissue lipolytic rates and exclude WAT-reduced insulin-mediated suppression of intracellular lipolysis as the main mechanism for elevated plasma NEFA in prediabetic and diabetic subjects.

Resistance to catecholamine action in WAT is one possible explanation for the observed downregulated fasting intracellular lipolytic in insulin resistance and diabetes.44, 45 A reduction of β2-adrenergic receptor (β2-AR) density in adipocytes isolated from obese individuals may explain reduced catecholamine-stimulated adipose tissue lipolysis in the face of higher tissue noradrenaline (NA) turnover.44, 46 Recently, radiocarbon dating was used to measure residence time of acylglycerols in abdominal subcutaneous WAT and to approximate intracellular TG turnover in adipocytes from healthy and obese individuals.47 Whereas reduced WAT intracellular removal (lipolysis) is associated with obesity and insulin resistance, reduced WAT storage was more associated with severe hyperlipidemia in the latter study. Moreover, obese subjects show a significant increase in adipose tissue lipid residence time and greater lipid storage rate per year than healthy lean subjects. This highlights the fact that WAT fatty acid lipolysis and storage are differently regulated and may confer different metabolic risk profiles during the development of obesity. The Arner group also previously reported that impaired adipogenesis is observed in subjects with a genetic predisposition for T2D but not in those predisposed for obesity.48 Ex vivo, the lipolytic capacity of large adipocytes is higher in response to NA and atrial natriuretic peptide stimulation and during inhibition by insulin when compared with small adipocytes from the same subject.49 Taken together, these data suggest that obese insulin-resistant subjects have a blunted response to catecholamine-induced lipolysis in WAT per kg of fat mass, which is not dependent on adipocyte hypertrophy but is related to the reduction in the expression of β2-AR.

Another important aspect is the neuronal control of lipolysis by the SNS. Hypothalamic leptin and insulin resistance have been associated with many complications observed in obesity such as inflammation and dyslipidemia (reviewed in Belgardt and Bruning50 and Scherer and Buettner51). Insulin stimulation in the mediobasal hypothalamus was found to hyperpolarize Agouti-related peptide and pro-opiomelanocortin neurons in a PI3K-dependent manner. This reduces SNS outflow and NA release to the WAT and may thus contribute to the reduction of lipolysis.52 This system is balanced by leptin signaling in the brain, which increases SNS tone to the WAT. Leptin and insulin mediate their effects through PI3K activation, although they induce different electrophysiological responses in different populations of pro-opiomelanocortin neurons. Moreover, leptin suppresses PI3K signaling in Agouti-related peptide neurons. At the moment, it is not yet clear how central insulin and leptin resistance may have a role in the catecholamine resistance of WAT in humans.

Thermogenic capacity and insulin/catecholamine resistance

Thermogenic capacity is mainly determined by adrenergic stimulation, which triggers the differentiation of brown adipocytes from myogenic precursors (Myf5+) in classical BAT depots. Moreover, the differentiation of white and brown preadipocytes (Myf5-) and/or the trans-differentiation of white adipocytes into brown-like adipocytes also occur in WAT depots. Several proteins involved in the transcriptional control of uncoupling protein 1 (UCP1), mitochondrial biogenesis and metabolic substrate oxidation are induced by NA stimulation and PPARγ agonists.53 In rodents, treatment with a β3-AR agonist during 6 days increases the number of brown adipocytes and oxidative metabolism in WAT.54 Activation of PKA signaling by adrenergic stimulation stimulates lipolysis but also activates p38 MAP kinase pathways that increase the transcription of UCP1 and PGC1A.55 The differentiation of new brown adipocytes from mesenchymal stem cells is dependent on COX2 activity, which is rate limiting for prostaglandin synthesis under NA stimulation56 and cold exposure.57 Interestingly, cotreatment of mice with β3-AR agonist and hormone-sensitive lipase inhibitor reduces intracellular lipolysis and increases the transcription of genes associated with the brown adipocyte phenotype.58 This suggests that adenylyl cyclase activity may be reduced by intracellular levels of NEFA or lipid metabolites, thus reducing the browning of WAT.

In addition to catecholamine signaling, activation of insulin and IGF-1 pathways are necessary to induce brown adipogenesis. Necdin and its downstream targets, Pref1 and Wnt10a, inhibit brown fat cell differentiation. Insulin-mediated phosphorylation of the insulin receptor substrate-1 reduces Necdin expression and triggers clonal expansion of murine brown preadipocytes.59, 60 Interestingly, white preadipocytes isolated from diabetic patients present some defects in insulin signaling and in molecular events regulating the early steps of white adipogenesis.61 These data suggest that insulin resistance occurs in white preadipocytes and may have a role in impaired WAT storage capacity through promoting reduction in adipogenesis. Although obese and diabetic individuals display reduced BAT capacity as assessed by the total volume of 18FDG BAT activity during PET/CT scanning,16 a link between impaired insulin/IGF-1 signaling in brown fat precursors (Myf5+ or Myf5−) and a reduction in BAT thermogenic capacity is not yet established.

BAT activation and metabolic dysfunction

BAT depots are richly innervated by sympathetic efferent fibers.62 The release by SNS nerves of NA in the vicinity of BAT adipocytes not only enhances thermogenic activity but also increases the capacity (cell proliferation, mitochondriogenesis and synthesis of UCP1) of brown fat cells to produce heat. SNS activation is the physiological trigger of brown adipocyte thermogenesis. Conditions such as cold exposure or overfeeding increase NA turnover rate in BAT. Consistently, cold exposure and overfeeding do not lead to increased thermogenic activity in mice lacking β-AR (β-less mice).63 The inbred Lou/C rat, originating from the Wistar strain, has been previously described as a model of resistance to the development of obesity.64 Lou/C rats display higher expression of β3-AR in inguinal WAT and show enhanced capacity to maintain body temperature following acute cold exposure after 8 weeks of high-fat diet.65 Diet-induced obese mice have chronically elevated temperature in interscapular BAT during both the light and dark period at thermoneutrality without change in locomotor activity.66 These animals display selective resistance to leptin's anorexic effect, whereas leptin's stimulation of sympathetic neuronal activity to BAT is normal. It should be noted that although the main endogenous system activating BAT is β3-AR stimulation through the SNS,67 and despite the effects observed in rodents,68 β3-agonists have not proved to be useful in the treatment of obesity in humans.69 β1-AR stimulation is, however, able to induce thermogenesis in animals lacking β3-AR.70 Furthermore, mesenchymal stem cells isolated from human subcutaneous WAT (hADSC) differentiate into brown adipocytes in response to dobutamine and β3-agonist stimulation even if β3-AR expression is 30-fold lower than that of the β1-AR.70

The best way to activate BAT in humans in the light of currently available studies is cold exposure. Although spontaneously active BAT is visible on 18FDG PET scanning in only 4 to 7% of individuals,15, 16 all human studies conducted to date have shown that cold-induced BAT glucose uptake occurs in 60 to 100% of adult humans.71, 72, 73 However, showing glucose uptake in BAT is not sufficient to demonstrate its role in thermogenesis. We recently established a unique experimental setup to make this demonstration.74 By using a cooling suit with thermal sensors and electromyography electrodes disposed over the participants' body, we carefully reduced skin temperature down to the shivering threshold (2 to 4% maximal voluntary muscle contraction) while performing indirect calorimetry and PET/CT scanning with 11C-acetate to determine total body and supraclavicular BAT energy expenditure during cold exposure and at room temperature. We determined that cold exposure resulting in ∼3.8 °C reduction of skin temperature in healthy men leads to approximately 250 kcal excess energy expenditure over 3 h and a significant increase in BAT energy expenditure. By using 18FDG and 18FTHA together with stable and radioactive glucose and palmitate tracer intravenous infusion, we determined that ∼1% of circulating glucose and NEFA were consumed by BAT in this condition, for a total of less than 5 kcal in excess energy expenditure. However, we found a significant reduction in BAT TG content on the basis of an increase in CT radio density of BAT. Our results suggest that BAT is implicated in cold-induced thermogenesis in healthy humans. At least acutely, cold-induced BAT thermogenesis appears to be driven by intracellular lipolysis with very rapid reduction of BAT TG content. The group of van Marken Lichtenbelt also demonstrated cold-induced activation of BAT blood flow in humans, supporting the notion of significant BAT thermogenic activity.73 The latter study reported insulin-mediated stimulation of BAT glucose uptake without a simultaneous increase in BAT blood flow, suggesting that glucose uptake and thermogenic activity can be differentially regulated in BAT.

By using an air cooling system to cold-expose individuals down to the shivering threshold, the group of van Marken Lichtenbelt also recently showed BAT glucose uptake in only 3 out of 15 morbidly obese individuals.75 In the latter study, these investigators also demonstrated cold-induced increased energy expenditure only in those individuals with demonstrated presence of BAT. One limitation of the latter study was that BAT-negative subjects had higher core temperatures. Whether a similar degree of cold stimulation was achieved in all subjects is therefore uncertain. The cause for reduced BAT metabolic activity in obese and diabetic individuals remains unknown.

Conclusion

From this review, we can conclude that impairment of both insulin-mediated storage of dietary fatty acids and catecholamine-stimulated intracellular lipolysis occurs in WAT in prediabetic and diabetic individuals. However, the former may be more specific to diabetogenic forms of obesity, whereas the latter may occur during all forms of excess adiposity. Impaired dietary fatty acid storage in WAT may not, however, be the critical factor leading to ectopic fat deposition in prediabetic and diabetic states, as numerous local tissue factors further modulate lean tissue exposure to fatty acids. Although intracellular lipolysis has a critical role in BAT thermogenesis, whether there is a specific reduction of SNS-mediated BAT activation has yet to be demonstrated in humans. Impaired insulin-mediated recruitment and lipid storage in BAT is a very attractive hypothesis, but more studies are required to demonstrate whether the typical WAT metabolic abnormalities are also present in BAT from diabetic individuals.

Acknowledgments

SML is the recipient of a Canadian Diabetes Association doctoral studentship. ACC is the recipient of the CIHR-GSK Chair in Diabetes.

The authors declare no conflict of interest.

Footnotes

This article was published as part of a supplement funded with an unrestricted educational contribution from Desjardins Sécurité Financière.

References

  1. Corpeleijn E, Saris WH, Blaak EE. Metabolic flexibility in the development of insulin resistance and type 2 diabetes: effects of lifestyle. Obes Rev 2009; 10: 178–193. [DOI] [PubMed] [Google Scholar]
  2. Nielsen S, Guo Z, Johnson CM, Hensrud DD, Jensen MD. Splanchnic lipolysis in human obesity. J Clin Invest 2004; 113: 1582–1588. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Goldberg IJ, Merkel M. Lipoprotein lipase: physiology, biochemistry, and molecular biology. Front Biosci 2001; 6: D388–D405. [DOI] [PubMed] [Google Scholar]
  4. Goldberg IJ, Eckel RH, Abumrad NA. Regulation of fatty acid uptake into tissues: lipoprotein lipase- and CD36-mediated pathways. J Lipid Res 2009; 50 (Suppl): S86–S90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Farese Jr RV, Yost TJ, Eckel RH. Tissue-specific regulation of lipoprotein lipase activity by insulin/glucose in normal-weight humans. Metabolism 1991; 40: 214–216. [DOI] [PubMed] [Google Scholar]
  6. Coppack SW, Yost TJ, Fisher RM, Eckel RH, Miles JM. Periprandial systemic and regional lipase activity in normal humans. Am J Physiol 1996; 270 (Part 1): E718–E722. [DOI] [PubMed] [Google Scholar]
  7. McQuaid SE, Hodson L, Neville MJ, Dennis AL, Cheeseman J, Humphreys SM et al. Downregulation of adipose tissue fatty acid trafficking in obesity: a driver for ectopic fat deposition? Diabetes 2011; 60: 47–55. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Unger RH, Zhou YT. Lipotoxicity of beta-cells in obesity and in other causes of fatty acid spillover. Diabetes 2001; 50 (Suppl 1): S118–S121. [DOI] [PubMed] [Google Scholar]
  9. Lewis GF, Carpentier A, Adeli K, Giacca A. Disordered fat storage and mobilization in the pathogenesis of insulin resistance and type 2 diabetes. Endocr Rev 2002; 23: 201–229. [DOI] [PubMed] [Google Scholar]
  10. Miles JM, Nelson RH. Contribution of triglyceride-rich lipoproteins to plasma free fatty acids. Horm Metab Res 2007; 39: 726–729. [DOI] [PubMed] [Google Scholar]
  11. Carpentier AC. Postprandial fatty acid metabolism in the development of lipotoxicity and type 2 diabetes. Diabetes Metab 2008; 34: 97–107. [DOI] [PubMed] [Google Scholar]
  12. Carpentier AC, Labbe SM, Grenier-Larouche T, Noll C. Abnormal dietary fatty acid metabolic partitioning in insulin resistance and type 2 diabetes. Clin Lipidol 2011; 6: 703–716. [Google Scholar]
  13. Fielding B. Tracing the fate of dietary fatty acids: metabolic studies of postprandial lipaemia in human subjects. Proc Nutr Soc 2011; 70: 342–350. [DOI] [PubMed] [Google Scholar]
  14. Nedergaard J, Bengtsson T, Cannon B. Unexpected evidence for active brown adipose tissue in adult humans. Am J Physiol Endocrinol Metab 2007; 293: E444–E452. [DOI] [PubMed] [Google Scholar]
  15. Cypess AM, Lehman S, Williams G, Tal I, Rodman D, Goldfine AB et al. Identification and importance of brown adipose tissue in adult humans. N Engl J Med 2009; 360: 1509–1517. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Ouellet V, Routhier-Labadie A, Bellemare W, Lakhal-Chaieb L, Turcotte E, Carpentier AC et al. Outdoor temperature, age, sex, body mass index, and diabetic status determine the prevalence, mass, and glucose-uptake activity of 18F-FDG-detected BAT in humans. J Clin Endocrinol Metab 2011; 96: 192–199. [DOI] [PubMed] [Google Scholar]
  17. Bickerton AS, Roberts R, Fielding BA, Hodson L, Blaak EE, Wagenmakers AJ et al. Preferential uptake of dietary Fatty acids in adipose tissue and muscle in the postprandial period. Diabetes 2007; 56: 168–176. [DOI] [PubMed] [Google Scholar]
  18. McQuaid SE, Humphreys SM, Hodson L, Fielding BA, Karpe F, Frayn KN. Femoral adipose tissue may accumulate the fat that has been recycled as VLDL and nonesterified fatty acids. Diabetes 2010; 59: 2465–2473. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Marin P, Rebuffe-Scrive M, Bjorntorp P. Uptake of triglyceride fatty acids in adipose tissue in vivo in man. Eur J Clin Invest 1990; 20: 158–165. [DOI] [PubMed] [Google Scholar]
  20. Ruge T, Hodson L, Cheeseman J, Dennis AL, Fielding BA, Humphreys SM et al. Fasted to fed trafficking of Fatty acids in human adipose tissue reveals a novel regulatory step for enhanced fat storage. J Clin Endocrinol Metab 2009; 94: 1781–1788. [DOI] [PubMed] [Google Scholar]
  21. Carpentier A, Frisch F, Cyr D, Genereux P, Patterson BW, Giguere R et al. On the suppression of plasma non-esterified fatty acids by insulin during enhanced intravascular lipolysis in humans. Am J Physiol Endocrinol Metab 2005; 289: E849–E856. [DOI] [PubMed] [Google Scholar]
  22. Brassard P, Frisch F, Lavoie F, Cyr D, Bourbonnais A, Cunnane SC et al. Impaired plasma nonesterified fatty acid tolerance is an early defect in the natural history of type 2 diabetes. J Clin Endocrinol Metab 2008; 93: 837–844. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Jensen MD, Sarr MG, Dumesic DA, Southorn PA, Levine JA. Regional uptake of meal fatty acids in humans. Am J Physiol Endocrinol Metab 2003; 285: E1282–E1288. [DOI] [PubMed] [Google Scholar]
  24. Mitrou P, Boutati E, Lambadiari V, Maratou E, Komesidou V, Papakonstantinou A et al. Rates of lipid fluxes in adipose tissue in vivo after a mixed meal in morbid obesity. Int J Obes (Lond) 2010; 34: 770–774. [DOI] [PubMed] [Google Scholar]
  25. Bickerton AS, Roberts R, Fielding BA, Tornqvist H, Blaak EE, Wagenmakers AJ et al. Adipose tissue fatty acid metabolism in insulin-resistant men. Diabetologia 2008; 51: 1466–1474. [DOI] [PubMed] [Google Scholar]
  26. Normand-Lauziere F, Frisch F, Labbe SM, Bherer P, Gagnon R, Cunnane SC et al. Increased postprandial nonesterified fatty acid appearance and oxidation in type 2 diabetes is not fully established in offspring of diabetic subjects. PLoS One 2010; 5: e10956. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Woerle HJ, Szoke E, Meyer C, Dostou JM, Wittlin SD, Gosmanov NR et al. Mechanisms for abnormal postprandial glucose metabolism in type 2 diabetes. Am J Physiol Endocrinol Metab 2006; 290: E67–E77. [DOI] [PubMed] [Google Scholar]
  28. Qvisth V, Hagstrom-Toft E, Moberg E, Sjoberg S, Bolinder J. Lactate release from adipose tissue and skeletal muscle in vivo: defective insulin regulation in insulin-resistant obese women. Am J Physiol Endocrinol Metab 2007; 292: E709–E714. [DOI] [PubMed] [Google Scholar]
  29. Sandqvist MM, Eriksson JW, Jansson PA. Increased lactate release per fat cell in normoglycemic first-degree relatives of individuals with type 2 diabetes. Diabetes 2001; 50: 2344–2348. [DOI] [PubMed] [Google Scholar]
  30. Perez de HF, Wood IS, Trayhurn P. Hypoxia stimulates lactate release and modulates monocarboxylate transporter (MCT1, MCT2, and MCT4) expression in human adipocytes. Pflugers Arch 2010; 459: 509–518. [DOI] [PubMed] [Google Scholar]
  31. Wood IS, Stezhka T, Trayhurn P. Modulation of adipokine production, glucose uptake and lactate release in human adipocytes by small changes in oxygen tension. Pflugers Arch 2011; 462: 469–477. [DOI] [PubMed] [Google Scholar]
  32. Sun K, Kusminski CM, Scherer PE. Adipose tissue remodeling and obesity. J Clin Invest 2011; 121: 2094–2101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Labbe SM, Croteau E, Grenier-Larouche T, Frisch F, Ouellet R, Langlois R et al. Normal postprandial nonesterified Fatty Acid uptake in muscles despite increased circulating Fatty acids in type 2 diabetes. Diabetes 2011; 60: 408–415. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Ravikumar B, Carey PE, Snaar JE, Deelchand DK, Cook DB, Neely RD et al. Real-time assessment of postprandial fat storage in liver and skeletal muscle in health and type 2 diabetes. Am J Physiol Endocrinol Metab 2005; 288: E789–E797. [DOI] [PubMed] [Google Scholar]
  35. Labbe SM, Grenier-Larouche T, Croteau E, Normand-Lauziere F, Frisch F, Ouellet R et al. Organ-specific dietary fatty acid uptake in humans using positron emission tomography coupled to computed tomography. Am J Physiol Endocrinol Metab 2011; 300: E445–E453. [DOI] [PubMed] [Google Scholar]
  36. Ci X, Frisch F, Lavoie F, Germain P, Lecomte R, van Lier JE et al. The effect of insulin on the intracellular distribution of 14(R,S)-[(18)F]fluoro-6-thia-heptadecanoic acid in rats. Mol Imaging Biol 2006; 8: 237–244. [DOI] [PubMed] [Google Scholar]
  37. Labbé SM, Grenier-Larouche T, Noll C, Phoenix S, Guérin B, Turcotte EE et al. Increased myocardial uptake of dietary fatty acids linked to cardiac dysfunction in glucose intolerant humans. Diabetes 2012. (in press). [DOI] [PMC free article] [PubMed]
  38. Lowell BB, Shulman GI. Mitochondrial dysfunction and type 2 diabetes. Science 2005; 307: 384–387. [DOI] [PubMed] [Google Scholar]
  39. Holloszy JO. Skeletal muscle ″mitochondrial deficiency″ does not mediate insulin resistance. Am J Clin Nutr 2009; 89: 463S–466S. [DOI] [PubMed] [Google Scholar]
  40. Muoio DM. Intramuscular triacylglycerol and insulin resistance: guilty as charged or wrongly accused? Biochim Biophys Acta 2010; 1801: 281–288. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Menard SL, Croteau E, Sarrhini O, Gelinas R, Brassard P, Ouellet R et al. Abnormal in vivo myocardial energy substrate uptake in diet-induced type 2 diabetic cardiomyopathy in rats. Am J Physiol Endocrinol Metab 2010; 298: E1049–E1057. [DOI] [PubMed] [Google Scholar]
  42. Jocken JW, Blaak EE. Catecholamine-induced lipolysis in adipose tissue and skeletal muscle in obesity. Physiol Behav 2008; 94: 219–230. [DOI] [PubMed] [Google Scholar]
  43. Karpe F, Dickmann JR, Frayn KN. Fatty acids, obesity, and insulin resistance: time for a reevaluation. Diabetes 2011; 60: 2441–2449. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Horowitz JF, Coppack SW, Paramore D, Cryer PE, Zhao GH, Klein S. Effect of short-term fasting on lipid kinetics in lean and obese women. Am J Physiol Endocrinol Metab 1999; 39: E278–E284. [DOI] [PubMed] [Google Scholar]
  45. Jocken JW, Langin D, Smit E, Saris WH, Valle C, Hul GB et al. Adipose triglyceride lipase and hormone-sensitive lipase protein expression is decreased in the obese insulin-resistant state. J Clin Endocrinol Metab 2007; 92: 2292–2299. [DOI] [PubMed] [Google Scholar]
  46. Reynisdottir S, Ellerfeldt K, Wahrenberg H, Lithell H, Arner P. Multiple lipolysis defects in the insulin resistance (metabolic) syndrome. J Clin Invest 1994; 93: 2590–2599. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Arner P, Bernard S, Salehpour M, Possnert G, Liebl J, Steier P et al. Dynamics of human adipose lipid turnover in health and metabolic disease. Nature 2011; 478: 110–113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Arner P, Arner E, Hammarstedt A, Smith U. Genetic predisposition for type 2 diabetes, but not for overweight/obesity, is associated with a restricted adipogenesis. PLoS One 2011; 6: e18284. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Laurencikiene J, Skurk T, Kulyte A, Heden P, Astrom G, Sjolin E et al. Regulation of lipolysis in small and large fat cells of the same subject. J Clin Endocrinol Metab 2011; 96: E2045–E2049. [DOI] [PubMed] [Google Scholar]
  50. Belgardt BF, Bruning JC. CNS leptin and insulin action in the control of energy homeostasis. Ann N Y Acad Sci 2010; 1212: 97–113. [DOI] [PubMed] [Google Scholar]
  51. Scherer T, Buettner C. Yin and Yang of hypothalamic insulin and leptin signaling in regulating white adipose tissue metabolism. Rev Endocr Metab Disord 2011; 12: 235–243. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Scherer T, O'Hare J, Diggs-Andrews K, Schweiger M, Cheng B, Lindtner C et al. Brain insulin controls adipose tissue lipolysis and lipogenesis. Cell Metab 2011; 13: 183–194. [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Richard D, Picard F. Brown fat biology and thermogenesis. Front Biosci 2011; 16: 1233–1260. [DOI] [PubMed] [Google Scholar]
  54. Granneman JG, Li P, Zhu Z, Lu Y. Metabolic and cellular plasticity in white adipose tissue I: effects of beta3-adrenergic receptor activation. Am J Physiol Endocrinol Metab 2005; 289: E608–E616. [DOI] [PubMed] [Google Scholar]
  55. Collins S, Yehuda-Shnaidman E, Wang H. Positive and negative control of Ucp1 gene transcription and the role of beta-adrenergic signaling networks. Int J Obes (Lond) 2010; 34 (Suppl 1): S28–S33. [DOI] [PubMed] [Google Scholar]
  56. Vegiopoulos A, Muller-Decker K, Strzoda D, Schmitt I, Chichelnitskiy E, Ostertag A et al. Cyclooxygenase-2 controls energy homeostasis in mice by de novo recruitment of brown adipocytes. Science 2010; 328: 1158–1161. [DOI] [PubMed] [Google Scholar]
  57. Madsen L, Pedersen LM, Lillefosse HH, Fjaere E, Bronstad I, Hao Q et al. UCP1 induction during recruitment of brown adipocytes in white adipose tissue is dependent on cyclooxygenase activity. PLoS One 2010; 5: e11391. [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Mottillo EP, Granneman JG. Intracellular fatty acids suppress beta-adrenergic induction of PKA-targeted gene expression in white adipocytes. Am J Physiol Endocrinol Metab 2011; 301: E122–E131. [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Tseng YH, Butte AJ, Kokkotou E, Yechoor VK, Taniguchi CM, Kriauciunas KM et al. Prediction of preadipocyte differentiation by gene expression reveals role of insulin receptor substrates and necdin. Nat Cell Biol 2005; 7: 601–611. [DOI] [PubMed] [Google Scholar]
  60. Cypess AM, Zhang H, Schulz TJ, Huang TL, Espinoza DO, Kristiansen K et al. Insulin/IGF-I regulation of necdin and brown adipocyte differentiation via. Endocrinology 2011; 152: 3680–3689. [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. van Tienen FH, Van Der Kallen CJ, Lindsey PJ, Wanders RJ, van Greevenbroek MM, Smeets HJ. Preadipocytes of type 2 diabetes subjects display an intrinsic gene expression profile of decreased differentiation capacity. Int J Obes (Lond) 2011; 35: 1154–1164. [DOI] [PubMed] [Google Scholar]
  62. Zingaretti MC, Crosta F, Vitali A, Guerrieri M, Frontini A, Cannon B et al. The presence of UCP1 demonstrates that metabolically active adipose tissue in the neck of adult humans truly represents brown adipose tissue. FASEB J 2009; 23: 3113–3120. [DOI] [PubMed] [Google Scholar]
  63. Bachman ES, Dhillon H, Zhang CY, Cinti S, Bianco AC, Kobilka BK et al. betaAR signaling required for diet-induced thermogenesis and obesity resistance. Science 2002; 297: 843–845. [DOI] [PubMed] [Google Scholar]
  64. Helies JM, Diane A, Langlois A, Larue-Achagiotis C, Fromentin G, Tome D et al. Comparison of fat storage between Fischer 344 and obesity-resistant Lou/C rats fed different diets. Obes Res 2005; 13: 3–10. [DOI] [PubMed] [Google Scholar]
  65. Veyrat-Durebex C, Poher AL, Caillon A, Montet X, Rohner-Jeanrenaud F. Alterations in lipid metabolism and thermogenesis with emergence of brown adipocytes in white adipose tissue in diet-induced obesity-resistant Lou/C rats. Am J Physiol Endocrinol Metab 2011; 300: E1146–E1157. [DOI] [PubMed] [Google Scholar]
  66. Enriori PJ, Sinnayah P, Simonds SE, Garcia RC, Cowley MA. Leptin action in the dorsomedial hypothalamus increases sympathetic tone to brown adipose tissue in spite of systemic leptin resistance. J Neurosci 2011; 31: 12189–12197. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Lowell BB, Spiegelman BM. Towards a molecular understanding of adaptive thermogenesis. Nature 2000; 404: 652–660. [DOI] [PubMed] [Google Scholar]
  68. Ghorbani M, Himms-Hagen J. Appearance of brown adipocytes in white adipose tissue during CL 316,243-induced reversal of obesity and diabetes in Zucker fa/fa rats. Int J Obes Relat Metab Disord 1997; 21: 465–475. [DOI] [PubMed] [Google Scholar]
  69. Arch JR. The discovery of drugs for obesity, the metabolic effects of leptin and variable receptor pharmacology: perspectives from beta3-adrenoceptor agonists. Naunyn Schmiedebergs Arch Pharmacol 2008; 378: 225–240. [DOI] [PubMed] [Google Scholar]
  70. Elabd C, Chiellini C, Carmona M, Galitzky J, Cochet O, Petersen R et al. Human multipotent adipose-derived stem cells differentiate into functional brown adipocytes. Stem Cells 2009; 27: 2753–2760. [DOI] [PubMed] [Google Scholar]
  71. Saito M, Okamatsu-Ogura Y, Matsushita M, Watanabe K, Yoneshiro T, Nio-Kobayashi J et al. High incidence of metabolically active brown adipose tissue in healthy adult humans: effects of cold exposure and adiposity. Diabetes 2009; 58: 1526–1531. [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. van Marken Lichtenbelt WD, Vanhommerig JW, Smulders NM, Drossaerts JM, Kemerink GJ, Bouvy ND et al. Cold-activated brown adipose tissue in healthy men. N Engl J Med 2009; 360: 1500–1508. [DOI] [PubMed] [Google Scholar]
  73. van Marken Lichtenbelt WD, Schrauwen P. Implications of nonshivering thermogenesis for energy balance regulation in humans. Am J Physiol Regul Integr Comp Physiol 2011; 301: R285–R296. [DOI] [PubMed] [Google Scholar]
  74. Ouellet V, Labbé SM, Blondin DP, Phoenix S, Guérin B, Haman F et al. Brown adipose tissue oxidative metabolism contributes to energy expenditure during acute cold exposure in humans. J Clin Invest 2012; 122: 545–552. [DOI] [PMC free article] [PubMed] [Google Scholar]
  75. Vijgen GH, Bouvy ND, Teule GJ, Brans B, Schrauwen P, van Marken Lichtenbelt WD. Brown adipose tissue in morbidly obese subjects. PLoS One 2011; 6: e17247. [DOI] [PMC free article] [PubMed] [Google Scholar]

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