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Type 2 diabetes as a disease of ectopic fat?

BMC Medicine volume 12, Article number: 123 (2014) Cite this article

Abstract

Background

Although obesity and diabetes commonly co-exist, the evidence base to support obesity as the major driver of type 2 diabetes mellitus (T2DM), and the mechanisms by which this occurs, are now better appreciated.

Discussion

This review briefly examines several sources of evidence - epidemiological, genetic, molecular, and clinical trial - to support obesity being a causal risk factor for T2DM. It also summarises the ectopic fat hypothesis for this condition, and lists several pieces of evidence to support this concept, extending from rare conditions and drug effects to sex- and ethnicity-related differences in T2DM prevalence. Ectopic liver fat is the best-studied example of ectopic fat, but more research on pancreatic fat as a potential cause of β-cell dysfunction seems warranted. This ectopic fat concept, in turn, broadly fits with the observation that individuals of similar ages can develop diabetes at markedly different body mass indexes (BMIs). Those with risk factors leading to more rapid ectopic fat gain - for example, men (compared with women), certain ethnicities, and potentially those with a family history of diabetes, as well as others with genes linked to a reduced subcutaneous adiposity - are more likely to develop diabetes at a younger age and/or lower BMI than those without.

Summary

Obesity is the major risk factor for T2DM and appears to drive tissue insulin resistance in part via gain of ectopic fat, with the best-studied organ being the liver. However, ectopic fat in the pancreas may contribute to β-cell dysfunction. In line with this observation, rapid resolution of diabetes linked to a preferential and rapid reduction in liver fat has been noted with significant caloric reduction. Whether these observations can help develop better cost-effective and sustainable lifestyle /medical interventions in patients with T2DM requires further study.

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Background

Although obesity and type 2 diabetes mellitus (T2DM) commonly co-exist, the evidence to show that obesity is a cause of T2DM, and the mechanism by which it does so are only now beginning to be fully appreciated. Here, we discuss the range of evidence to support this view. We also describe the concept of ectopic fat as an important mechanistic link between obesity and T2DM in many individuals.

Discussion

Epidemiological associations

The strong epidemiological link between obesity and T2DM in general is, of course, well described [1]. The relative risks (RRs) for diabetes with rising obesity are in fact among the highest for any risk factors for any disease, with around a 50- to 80-fold increase in T2DM risk for a BMI of over 35 kg/m2 compared with a BMI of less than 23 kg/m2 in populations of white European descent (Figure 1) [2]. As a result, BMI can account for a third to half of the weighting for T2DM risk scores. Thus, the increasing level of obesity is a key driver for the rising T2DM levels around the world, alongside improved survival of patients with diabetes due to lower death rates, and rising life expectancy in general. Unsurprisingly, therefore, any simple measure of adiposity alone (for example BMI, waist circumference or waist/hip ratios) can predict incident T2DM, with area under the curve (AUC) for receiver operator characteristic (ROC) ranging from 0.66 to 0.73 [3].

Figure 1
figure 1

Relationship between body mass index (BMI) and risk for diabetes in US Health Professionals, derived from data extracted from Chan et al.[2].

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Genes strengthen causal links between obesity and diabetes

The most important gene for obesity so far discovered, FTO (fat mass and obesity-associated protein), was first reported to be linked to T2DM by Frayling et al. in 2007 [4]. Approximately 16% of Europeans are homozygous for high-risk variants of the FTO gene, and this is associated with an average body weight 3 to 4 kg greater than normal. However, the higher risk for T2DM in Europeans is completely abolished after adjusting for BMI, suggesting that the risk conferred by FTO is mediated via higher body mass in this ethnic group, although other data suggest that in other ethnicities, FTO may influence T2DM risk in part independent of BMI [5]. Multiple other genes are linked to T2DM risk, most being linked to β-cell dysfunction rather than insulin resistance, as reviewed by Loos and Bouchard [6]. In terms of T2DM risk assessment, however, there is no benefit in genotyping individuals for their T2DM genes because such information does not improve upon the risk prediction achievable by using a simpler clinical phenotype and knowledge of family history of T2DM [7]. Nevertheless, continued work on T2DM-related genes should help strengthen causal inferences on new risk pathways.

Evidence for the ectopic fat hypothesis in T2DM

Surprisingly, the pathophysiological basis for T2DM continues to attract debate. What is clear, however, is the emergence of one major hypothesis, namely that of ectopic fat leading to organ-specific insulin resistance via a process termed `lipotoxicity’ [8]. Many individuals prone to T2DM appear to show a greater propensity to accumulate visceral fat for a given weight; interestingly, this characteristic may be a downstream consequence of an `impaired’ subcutaneous fat storage capacity, the mechanisms for which deserve greater attention. As extreme example of this concept is lipodystropy; individuals with this condition have an impaired ability to store subcutaneous fat, and consequently with even modest weight gain, they accumulate fat in visceral and ectopic tissues (for example, the liver), leading in turn to marked insulin resistance [9]. At the other extreme are many individuals, particularly women, who, despite attaining very high BMIs (as high as 50 to 60 kg/m2), remain insulin-sensitive, normoglycaemic and normolipaemic. Imaging studies show these individuals to have low levels of visceral and ectopic fat but a high subcutaneous fat content [10]. A pharmacological example underlying the importance of ectopic fat to dysglycaemia comes from the observation that peroxisome proliferator-activated receptor (PPAR)-γ agonists (thiazolidenediones) lower glucose levels despite increasing the patient’s weight. They appear to do so by redistributing fat away from the liver and towards an expanded subcutaneous pool [11],[12]. Finally, transplantation of normal adipose tissue in the subcutaneous region of lipoatrophic mice, which are normally severely insulin-resistant, removes their excess hepatic fat and normalises hepatic insulin sensitivity [13].

Ethnicity, sex, and the ectopic fat hypothesis

There are substantial ethnic differences in diabetes risk. For example, South Asians develop T2DM at lower BMI levels and around a decade earlier in life than white Europeans [14]. Using UK Biobank data, we have recently shown that South Asians with BMI of 22 kg/m2 have equivalent prevalence of T2DM to white Europeans with BMI of 30 kg/m2. The corresponding BMIs for Chinese men and women are 26 and 24 kg/m2, respectively [15]. These remarkable findings help to explain why T2DM rates are rapidly escalating as obesity levels rise in countries such as India and China. A key reason for the greater increase in diabetes risk per unit increase in BMI in South Asians compared with Europeans may be due to a reduced capacity in South Asians to store fat in the primary superficial subcutaneous adipose tissue compartment, leading to earlier `overflow’ into secondary deep subcutaneous and visceral fat compartments, and potentially the liver [16]. Indeed, there is some evidence of differences in morphology of subcutaneous abdominal adipose cells in South Asians compared with Europeans, consistent with reduced capacity to store fat in this depot [17]-[19], and other evidence suggests that South Asians may have higher levels of liver fat than Europeans [19],[20]. Current evidence on ethnicity and ectopic fat is limited by its cross-sectional nature, and further research evaluating ethnic differences in the longitudinal changes in subcutaneous fat storage, adipocyte morphology and function, and ectopic fat deposition with increasing adiposity may yield important insights into the mechanisms underpinning the substantial ethnic differences in diabetes risk.

In terms of sex, we recently showed that men develop diabetes at lower average BMIs compared with women at most adult ages [21]. This finding is consistent with the observation that adult men have greater levels of liver fat and insulin resistance than women of comparable BMI [22]. In general, women carry or have a greater subcutaneous fat storage capacity and, linked to this, carry less visceral fat than do men. Therefore, the average woman has to put on more weight than the average man to reach the point at which she overwhelms her subcutaneous stores and promotes sufficient ectopic fat deposition to develop hyperglycaemia.

Collectively, the foregoing observations suggest that the preferential location of fat storage (subcutaneous versus visceral/ectopic) at any given BMI in individuals may be crucial to their risk of a metabolic disorder, inclusive of diabetes. Figure 2 summarises the concept of ectopic fat.

Figure 2
figure 2

Simple concept of ectopic fat and development of insulin resistance and frank diabetes. A simple conceptual illustration on the development and location of ectopic fat in individuals once they have `overwhelmed’ their ability to store safe subcutaneous fat. Certain factors such as sex (females have greater storage capacity), genetics (with family history of type 2 diabetes mellitus (T2DM) as a broad proxy measure), ethnicity (for example, South Asians) and ageing appear to have relevance to an individual’s ability to store fat subcutaneously. Other factors, such as smoking, may also be relevant but more data are needed to examine this. In temporal terms, it may be that liver fat accumulation occurs closer to the time of development of T2DM whereas muscle insulin resistance is a more proximal development. Perivascular fat may contribute to vascular dysfunction via a process of adverse vasocrine signalling, leading in turn to impaired nutrient blood flow; that is, vascular insulin resistance. Finally, some recent evidence indicates that excess fat may also accumulate in the pancreas to contribute to β-cell dysfunction, and thus development of T2DM. Such excess pancreatic fat appears reversible, and could contribute to diabetes resolution even in some patients with T2DM who are on insulin.

Full size image

As an example showing that differential BMI thresholds depend upon several genetic factors, a 50 year-old South Asian man with a strong family history of T2DM has a near-equivalent 10 year risk (~13% QDdiabetes risk score [23]) of T2DM at a BMI of 22 kg/m2) as an age-matched white female with no family history of T2DM with a BMI of nearly 40 kg/m2. Thus, sex and ethnicity combine to profoundly influence diabetes risk, and this is likely to reflect, in part, differences in propensity for ectopic fat storage, although of course, other factors also contribute.

The crucial role of ectopic liver fat and related molecular explanations

In terms of chronology, gain of liver fat appears to precede development of T2DM in most individuals, whereas muscle insulin resistance appears to be a longer-standing and earlier abnormality [24]. Considerable recent work has focused on the role of the liver in the development of diabetes, and linked to this, the condition of non-alcoholic fatty liver disease (NAFLD) has been shown to be very common (>50%) in patients with T2DM, and is linked to hepatic insulin resistance [25].

Although the above evidence is now well accepted, the exact molecular mechanisms leading to excess hepatic fat accumulation remain elusive. Some authors suggest that hyperinsulinaemia drives hepatic de novo lipogenesis whereas others suggest continued excess energy intake, particularly in form of carbohydrate, to be the main factor responsible for hepatic de novo lipogenesis and hepatic fat excess [26]. Regardless of the relative contributions of these two alternatives, excess hepatic fat appears to be causally linked to hepatic insulin resistance via a number of potential cellular pathways, including deleterious impaired inflammatory signalling, endoplasmic reticulum stress, excess production of reactive oxygen species, mitochondrial dysfunction, accumulation of triglycerides and/or fatty acyl intermediates, and activation of serine-threonine kinases, as recently reviewed [27]. Recent research has focused in particular on hepatic diacylglycerol (DAG) excess being the main culprit leading to insulin resistance [28]. DAG activates protein kinase Cϵ (PKCϵ), resulting in decreased insulin signalling [28]. Individuals with excess hepatic fat or NAFLD are therefore unable to suppress hepatic gluconeogenesis normally in response to insulin, and the continued excessive hepatic glucose production contributes to hyperglycaemia and development of diabetes. The same individuals also show elevated very low density lipoprotein synthesis and thus elevated circulating triglyceride levels, another example of `ectopic’ fat appearing in the circulation. The commonest signal for raised liver fat in such individuals is raised liver enzymes, in particular alanine aminotransferase (much greater than aspartate aminotransferase) and/or γ-glutamyl transpeptidase levels, are recently reviewed [25]. These concepts are demonstrated in Figure 3.

Figure 3
figure 3

Biochemical findings supporting excess liver fat. This simple figure signals the link between excess calories, leading to excess liver fat and the common biochemical findings of high glucose, altered liver enzymes (alanine aminotransferase (ALT) much greater than aspartate aminotransferase (AST)) and hypertriglyceridaemia. When these three biochemical features are present in overweight or obese individuals who are not excessive alcohol drinkers, the likelihood of non-alcoholic fatty liver disease (NAFLD) is high.

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It is thought that in individual destined to develop diabetes, at a given level of peripheral or hepatic insulin resistance, the ability of the pancreas to hypersecrete insulin is overwhelmed, and so frank diabetes ensues. Pancreatic failure is thought to be largely genetically governed, and as discussed before, multiple genes governing insulin secretion have been identified. However, the possibility that excess fat accumulating in pancreas can impair β-cell function is now also emerging [29].

Is type diabetes reversible via loss of fat or ectopic fat?

The simple answer to this is `yes’. If we accept that obesity is causally linked to diabetes and that some individuals can lose considerable weight by surgical or dietary means, diabetes must be reversible. In a recent meta-analysis, Buchwald et al. demonstrated that a mean weight loss of around 38.5 kg from a mean pre-surgery BMI of around 48 kg/m2 led to diabetes remission in around 78% of patients [30]. Whether some types of bariatric surgery lead to greater diabetes remission for a weight reduction than others remains debated but, suffice to say, the greater the weight loss in general, the greater the chance of T2DM remission. In a more recent meta-analysis [31], patients with a shorter duration of T2DM and lower fasting plasma glucose had higher remission rates, though further randomised studies would be helpful to support and extend these findings; in particular, there was sparse data for ethnic groups outside of white Europeans. Perhaps most impressively, many patients previously on insulin also had T2DM remission [30],[31] suggesting that, at least in some patients, pancreatic function previously thought to be completely lost may be recoverable with substantial weight loss.

In terms of diet, the most recent notable study was led by the Newcastle group of Taylor et al.[29]. This group demonstrated normalisation of blood glucose in 11 patients with diabetes after 1 week of commencing a 600 kcal/day diet. They also demonstrated improvement in liver fat levels, which fell from around 10% to an average within the normal range at 2.9% by week 8, as well as an improvement in β-cell response, the latter potentially linked to the observed reduction in pancreatic fat [29]. These very impressive findings suggest that a rapid resolution of hyperglycaemia can be achieved by substantial caloric reduction. They also suggest the occurrence of rapid and preferential liver fat loss because hepatic triglyceride content decreased by an average of 30% during week 1 of intervention (P < 0.001), whereas total weight reduced by only around 4%. The liver response to insulin also improved by the end of week 1 so that insulin suppression of hepatic glucose output improved from a mean of 43% to 74%, the latter being similar to weight-matched controls without diabetes. These findings all fit with the concept that excess liver fat is intrinsically linked to hepatic insulin resistance and consequently higher fasting glucose levels. Why fat reduction should lead to improved β-cell function is not entirely clear, but is an area in need of greater research.

Of course, these impressive short-term results are merely proof of concept. Cutting energy intake to 600 kcal per day is achievable for most over a short term but, in reality, not sustainable for long periods. The clinical implications of these findings therefore need to further tested in longer-term clinical trials, some of which have now begun. Nevertheless, these observations support the ectopic fat hypothesis for T2DM.

Summary

In summary, it is clear that obesity is a major risk factor for T2DM, and appears to drive tissue insulin resistance via gain of ectopic fat, with the best-studied organ being the liver. Excess liver fat, and its related condition of NAFLD, is now recognised as a key part of the T2DM puzzle. However, ectopic fat in pancreas may also impair β- cell function, which is an area deserving of more research. It is also clear that different individuals will start to expand their ectopic stores at different BMIs and levels of total adiposity, dependent upon their unmodifiable characteristics (age, sex, ethnicity, family history) so that some groups, such as South Asian men with a family history of T2DM, have a very high diabetes risk even at modest BMIs. Recent genetic data add support to the concept of a diminished subcutaneous capacity in lower BMI individuals being linked to greater metabolic risk [32]. Finally, the definitive evidence of a causal link between obesity and T2DM comes from interventions that can lower weight substantially, either by surgery or diet. Where studied, these studies support a rapid resolution in diabetes linked to a preferential and rapid reduction in liver fat, further supporting the ectopic fat hypothesis for diabetes. The preceding observations are summarised in Table 1. The challenge now is to take advantage of such observations and translate into clinical improvements. Considerable ongoing work is needed to develop such clinical translation, which is crucially important given the rising levels of T2DM worldwide, which will further rise given the continued rise in obesity worldwide [33].

Table 1 Evidence linking obesity to type 2 diabetes
Full size table

Authors' contributions

Both authors contributed fully to the conception, writing and revision of this article.

References

  1. Eckel RH, Kahn SE, Ferrannini E, Goldfine AB, Nathan DM, Schwartz MW, Smith RJ, Smith SR: Obesity and type 2 diabetes: what can be unified and what needs to be individualized?. J Clin Endocrinol Metab. 2011, 96: 1654-1663. 10.1210/jc.2011-0585.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Chan JM, Rimm EB, Colditz GA, Stampfer MJ, Willett WC: Obesity, fat distribution, and weight gain as risk factors for clinical diabetes in men. Diabetes Care. 1994, 17: 961-969. 10.2337/diacare.17.9.961.

    Article  CAS  PubMed  Google Scholar 

  3. Sattar N, Wannamethee SG, Forouhi NG: Novel biochemical risk factors for type 2 diabetes: pathogenic insights or prediction possibilities?. Diabetologia. 2008, 51: 926-940. 10.1007/s00125-008-0954-7.

    Article  CAS  PubMed  Google Scholar 

  4. Frayling TM, Timpson NJ, Weedon MN, Zeggini E, Freathy RM, Lindgren CM, Perry JRB, Elliott KS, Lango H, Rayner NW, Shields B, Harries LW, Barrett JC, Ellard S, Groves CJ, Knight B, Patch AM, Ness AR, Ebrahim S, Lawlor DA, Ring SM, Ben-Shlomo Y, Jarvelin MR, Sovio U, Bennett AJ, Melzer D, Ferrucci L, Loos RJF, Barroso I, Wareham NJ, et al: A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity. Science. 2007, 316: 889-894. 10.1126/science.1141634.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Rees SD, Islam M, Hydrie MZ, Chaudhary B, Bellary S, Hashmi S, O'Hare JP, Kumar S, Sanghera DK, Chaturvedi N, Barnett AH, Shera AS, Weedon MN, Basit A, Frayling TM, Kelly MA, Jafar TH: An FTO variant is associated with Type 2 diabetes in South Asian populations after accounting for body mass index and waist circumference. Diabet Med. 2011, 28: 673-680. 10.1111/j.1464-5491.2011.03257.x.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Loos RJ, Bouchard C: FTO: the first gene contributing to common forms of human obesity. Obes Rev. 2008, 3: 246-250. 10.1111/j.1467-789X.2008.00481.x.

    Article  Google Scholar 

  7. Bao W, Hu FB, Rong S, Rong Y, Bowers K, Schisterman EF, Liu L, Zhang C: Predicting risk of type 2 diabetes mellitus with genetic risk models on the basis of established genome-wide association markers: a systematic review. Am J Epidemiol. 2013, 178: 1197-1207. 10.1093/aje/kwt123.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Cusi K: The role of adipose tissue and lipotoxicity in the pathogenesis of type 2 diabetes. Curr Diab Rep. 2010, 10: 306-315. 10.1007/s11892-010-0122-6.

    Article  CAS  PubMed  Google Scholar 

  9. Huang-Doran I, Sleigh A, Rochford JJ, O'Rahilly S, Savage DB: Lipodystrophy: metabolic insights from a rare disorder. J Endocrinol. 2010, 207: 245-255. 10.1677/JOE-10-0272.

    Article  CAS  PubMed  Google Scholar 

  10. Stefan N, Kantartzis K, Machann J, Schick F, Thamer C, Rittig K, Balletshofer B, Machicao F, Fritsche A, Häring HU: Identification and characterization of metabolically benign obesity in humans. Arch Intern Med. 2008, 168: 1609-1616. 10.1001/archinte.168.15.1609.

    Article  PubMed  Google Scholar 

  11. Gupta AK, Bray GA, Greenway FL, Martin CK, Johnson WD, Smith SR: Pioglitazone, but not metformin, reduces liver fat in Type-2 diabetes mellitus independent of weight changes. J Diabetes Complications. 2010, 5: 289-296. 10.1016/j.jdiacomp.2009.05.004.

    Article  Google Scholar 

  12. Smith SR, De Jonge L, Volaufova J, Li Y, Xie H, Bray GA: Effect of pioglitazone on body composition and energy expenditure: a randomized controlled trial. Metabolism. 2005, 541: 24-32. 10.1016/j.metabol.2004.07.008.

    Article  Google Scholar 

  13. Kim JK, Gavrilova O, Chen Y, Reitman ML, Shulman GI: Mechanism of insulin resistance in A-ZIP/F-1 fatless mice. J Biol Chem. 2000, 275: 8456-8460. 10.1074/jbc.275.12.8456.

    Article  CAS  PubMed  Google Scholar 

  14. Cleland SJ, Sattar N: Impact of ethnicity on metabolic disturbance, vascular dysfunction and atherothrombotic cardiovascular disease. Diabetes Obes Metab. 2005, 5: 463-470. 10.1111/j.1463-1326.2004.00401.x.

    Article  Google Scholar 

  15. Ntuk UE, Mackay D, Gill JMR, Sattar N, Pell J: Ethnic specific obesity cut-offs for diabetes risk: Cross-sectional study of 490,288 UK Biobank participants.Diabetes Care, In Press.

  16. Sniderman AD, Bhopal R, Prabhakaran D, Sarrafzadegan N, Tchernof A: Why might South Asians be so susceptible to central obesity and its atherogenic consequences? The adipose tissue overflow hypothesis. Int J Epidemiol. 2007, 36: 220-225. 10.1093/ije/dyl245.

    Article  PubMed  Google Scholar 

  17. Chandalia M, Lin P, Seenivasan T, Livingston EH, Snell PG, Grundy SM, Abate N: Insulin resistance and body fat distribution in South Asian men compared to Caucasian men. PLoSONE. 2007, 2: e812-10.1371/journal.pone.0000812.

    Article  Google Scholar 

  18. Balakrishnan P, Grundy SM, Islam A, Dunn F, Vega GL: Influence of upper and lower body adipose tissue on insulin sensitivity in South Asian men. J Investig Med. 2012, 60: 999-1004.

    Article  CAS  PubMed  Google Scholar 

  19. Anand SS, Tarnopolsky MA, Rashid S, Schulze KM, Desai D, Mente A, Rao S, Yusuf S, Gerstein HC, Sharma AM: Adipocyte hypertrophy, fatty liver and metabolic risk factors in South Asians: the Molecular Study of Health and Risk in Ethnic Groups (mol-SHARE). PLoS One. 2011, 6 7: e22112-10.1371/journal.pone.0022112.

    Article  Google Scholar 

  20. Petersen KF, Dufour S, Feng J, Befroy D, Dziura J, Dalla Man C, Cobelli C, Shulman GI: Increased prevalence of insulin resistance and nonalcoholic fatty liver disease in Asian-Indian men. Proc Natl Acad Sci U S A. 2006, 103: 18273-18277. 10.1073/pnas.0608537103.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Logue J, Walker JJ, Colhoun HM, Leese GP, Lindsay RS, McKnight JA, Morris AD, Pearson DW, Petrie JR, Philip S, Wild SH, Sattar N: Scottish Diabetes Research Network Epidemiology Group. Do men develop type 2 diabetes at lower body mass indices than women?. Diabetologia. 2011, 54: 3003-3006. 10.1007/s00125-011-2313-3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Sattar N: Gender aspects in type 2 diabetes mellitus and cardiometabolic risk. Best Pract Res Clin Endocrinol Metab. 2013, 27: 501-27507. 10.1016/j.beem.2013.05.006.

    Article  CAS  PubMed  Google Scholar 

  23. QDiabetes risk score. In [http://www.qdscore.org/index.php]

  24. Taylor R: Pathogenesis of type 2 diabetes: tracing the reverse route from cure to cause. Diabetologia. 2008, 51: 1781-1789. 10.1007/s00125-008-1116-7.

    Article  CAS  PubMed  Google Scholar 

  25. Preiss D, Sattar N: Non-alcoholic fatty liver disease: an overview of prevalence, diagnosis, pathogenesis and treatment considerations. Clin Sci (Lond). 2008, 115: 141-150. 10.1042/CS20070402.

    Article  CAS  Google Scholar 

  26. Stefan N, Kantartzis K, Häring HU: Causes and metabolic consequences of Fatty liver. Endocr Rev. 2008, 29: 939-960. 10.1210/er.2008-0009.

    Article  CAS  PubMed  Google Scholar 

  27. Hotamisligil GS, Erbay E: Nutrient sensing and inflammation in metabolic diseases. Nat Rev Immunol. 2008, 8: 923-934. 10.1038/nri2449.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Birkenfeld AL, Shulman GI: Nonalcoholic fatty liver disease, hepatic insulin resistance, and type 2 diabetes. Hepatology. 2014, 59: 713-723. 10.1002/hep.26672.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Lim EL, Hollingsworth KG, Aribisala BS, Chen MJ, Mathers JC, Taylor R: Reversal of type 2 diabetes: normalisation of beta cell function in association with decreased pancreas and liver triacylglycerol. Diabetologia. 2011, 54: 2506-2514. 10.1007/s00125-011-2204-7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Buchwald H, Estok R, Fahrbach K, Banel D, Jensen MD, Pories WJ, Bantle JP, Sledge I: Weight and type 2 diabetes after bariatric surgery: systematic review and meta-analysis. Am J Med. 2009, 122: 248-256. 10.1016/j.amjmed.2008.09.041. e5

    Article  PubMed  Google Scholar 

  31. Yan YX, Wang GF, Xu N, Wang FL: Correlation between postoperative weight loss and diabetes mellitus remission: a meta-analysis.Obes Surg 2014, Epub ahead of print.

  32. Yaghootkar H, Scott RA, White CC, Zhang W, Speliotes E, Munroe PB, Ehret GB, Bis JC, Fox CS, Walker M, Borecki IB, Knowles JW, Yerges-Armstrong L, Ohlsson C, Perry JR, Chambers JC, Kooner JS, Franceschini N, Langenberg C, Hivert MF, Dastani Z, Richards JB, Semple RK, Frayling TM: Genetic evidence for a normal-weight “metabolically obese” phenotype linking insulin resistance, hypertension, coronary artery disease and type 2 diabetes.Diabetes 2014,[Epub ahead of print].

  33. Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, Mullany EC, Biryukov S, Abbafati C, Abera SF, Abraham JP, Abu-Rmeileh NM, Achoki T, AlBuhairan FS, Alemu ZA, Alfonso R, Ali MK, Ali R, Guzman NA, Ammar W, Anwari P, Banerjee A, Barquera S, Basu S, Bennett DA, Bhutta Z, Blore J, Cabral N, Nonato IC, Chang JC, et al: Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013.Lancet 2014, Epub ahead of print.

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Acknowledgement

Our work in this area has received support from the EU/EFPIA Innovative Medicines Initiative Joint Undertaking (EMIF grant n° 115372).

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  1. Institute of Cardiovascular and Medical Sciences, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, 126 University Place, Glasgow, G12 8TA, UK

    Naveed Sattar & Jason MR Gill

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NS is on the Operations committee for EXSCEL, which is a clinical trial of a GLP-1 agonist (https://www.dtu.ox.ac.uk/EXSCEL/). JG has no competing interests.

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Sattar, N., Gill, J.M. Type 2 diabetes as a disease of ectopic fat?. BMC Med 12, 123 (2014). https://0-doi-org.brum.beds.ac.uk/10.1186/s12916-014-0123-4

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