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Ethnic distinctions in the pathophysiology of type 2 diabetes: a focus on black African-Caribbean populations

Published online by Cambridge University Press:  16 July 2019

Louise M. Goff*
Affiliation:
Diabetes Research Group, Departments of Diabetes and Nutritional Sciences, King's College London, London, UK
Meera Ladwa
Affiliation:
Diabetes Research Group, Departments of Diabetes and Nutritional Sciences, King's College London, London, UK
Olah Hakim
Affiliation:
Diabetes Research Group, Departments of Diabetes and Nutritional Sciences, King's College London, London, UK
Oluwatoyosi Bello
Affiliation:
Diabetes Research Group, Departments of Diabetes and Nutritional Sciences, King's College London, London, UK
*
*Corresponding author: Louise M. Goff, email louise.goff@kcl.ac.uk
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Abstract

Type 2 diabetes (T2D) is a global public health priority, particularly for populations of black African-Caribbean ethnicity, who suffer disproportionately high rates of the disease. While the mechanisms underlying the development of T2D are well documented, there is growing evidence describing distinctions among black African-Caribbean populations. In the present paper, we review the evidence describing the impact of black African-Caribbean ethnicity on T2D pathophysiology. Ethnic differences were first recognised through evidence that metabolic syndrome diagnostic criteria fail to detect T2D risk in black populations due to less central obesity and dyslipidaemia. Subsequently more detailed investigations have recognised other mechanistic differences, particularly lower visceral and hepatic fat accumulation and a distinctly hyperinsulinaemic response to glucose stimulation. While epidemiological studies have reported exaggerated insulin resistance in black populations, more detailed and direct measures of insulin sensitivity have provided evidence that insulin sensitivity is not markedly different to other ethnic groups and does not explain the hyperinsulinaemia that is exhibited. These findings lead us to hypothesise that ectopic fat does not play a pivotal role in driving insulin resistance in black populations. Furthermore, we hypothesise that hyperinsulinaemia is driven by lower rates of hepatic insulin clearance rather than heightened insulin resistance and is a primary defect rather than occurring in compensation for insulin resistance. These hypotheses are being investigated in our ongoing South London Diabetes and Ethnicity Phenotyping study, which will enable a more detailed understanding of ethnic distinctions in the pathophysiology of T2D between men of black African and white European ethnicity.

Type
Conference on ‘Inter-individual differences in the nutrition response: from research to recommendations’
Copyright
Copyright © The Authors 2019

Ethnic inequalities in type 2 diabetes in the UK

It is estimated that one in eleven adults worldwide is living with diabetes; this equates to 425 million people, a figure which is predicted to rise to 629 million by 2045(1). The alarming rate at which diabetes is increasing makes it a global public health priority. In the UK, 3·7 million people have diagnosed diabetes, although the actual prevalence is thought to be nearer to 5 million when undiagnosed cases are considered(2). Ethnic inequalities in diabetes have been reported consistently in the scientific literature. The present paper will focus specifically on type 2 diabetes (T2D) as it is the burden of this disease that is most evident among ethnic minority groups.

In 2011, approximately 14 % of the UK population identified as from a minority ethnic background; about half were of South Asian ancestry (originating mainly from India, Pakistan, Bangladesh and Sri Lanka), and approximately 25 % were of black, African, Caribbean or other black ancestry(3). Among ethnic minority groups, the prevalence of T2D is estimated to be about three to five times higher than in people of white European ethnicity(Reference Becker, Boreham and Chaudhury4). The London SABRE multi-ethnic cohort estimated that by age 80 years, 40–50 % of South Asian and black African-Caribbean men and women will have T2D, which is at least twice the proportion of their age-matched white European counterparts(Reference Tillin, Hughes and Godsland5). An earlier onset of T2D is also particularly noticeable. A recent analysis of UK primary care data showed the age of diagnosis to be 10–12 years younger, on average, in South Asians and black African-Caribbeans compared to white Europeans(Reference Paul, Owusu Adjah and Samanta6). Moreover, a significantly greater proportion of people from ethnic minority backgrounds develop T2D before age 40 years compared to white-Europeans: 30 % of South Asians and 23 % of black African-Caribbeans with T2D are under age 40 years compared to only 9 % of white Europeans (Fig. 1)(Reference Paul, Owusu Adjah and Samanta6).

Fig. 1. Age distribution of people with type 2 diabetes in White-European, African-Caribbean and South Asian ethnic groups in the UK. Reproduced from Paul SK et al.(Reference Paul, Owusu Adjah and Samanta6).

Following the recognition that 90 % of adults with T2D are overweight or obese, and T2D is five times more prevalent amongst adults with an obese BMI compared to those with a healthy weight(Reference Abdullah, Peeters and de Courten7), obesity is now recognised to be one of the strongest contributors to the development of T2D. In the UK, about 60 % of adults are overweight or obese (BMI ≥25 kg/m2) and 25 % are obese (BMI ≥30 kg/m2)(8). In some ethnic groups, obesity rates are high, for example, black African-Caribbean and Pakistani women, but in others (e.g. black African-Caribbean, Indian, Pakistani and Bangladeshi men), the rates are no different from white Europeans or the general population(Reference Becker, Boreham and Chaudhury4). This pattern of obesity being more common among ethnic minority populations and particularly among ethnic minority females is replicated in America, in which African-American and Hispanic women suffer the highest rates of obesity(Reference Arroyo-Johnson and Mincey9Reference Cossrow and Falkner11). The reasons for these ethnic and sex disparities are complex and not fully understood but are believed to involve both biological and environmental factors(Reference Zhang and Wang12). Recently several UK multi-ethnic cohort studies have identified a higher risk of T2D at lower levels of obesity among ethnic minority groups compared with white Europeans(Reference Paul, Owusu Adjah and Samanta6,Reference Ntuk, Gill and Mackay13,Reference Tillin, Sattar and Godsland14) . Modelling of UK Biobank data has demonstrated that the T2D risk associated with a BMI of 30 kg/m2 in white Europeans is equivalent to a BMI of 22 kg/m2 in South Asian groups and a BMI of 26 kg/m2 in black African-Caribbean groups(Reference Ntuk, Gill and Mackay13). Data from The Health Improvement Network, a UK longitudinal general practice dataset, demonstrate that 38 % of South Asians and 29 % of black African-Caribbeans with T2D have a BMI below 30 kg/m2 compared to only 26 % of white Europeans. Furthermore, both South Asians and black African-Caribbeans have a significantly higher probability of developing T2D in the normal and overweight BMI categories compared to white Europeans(Reference Paul, Owusu Adjah and Samanta6). This evidence suggests that the commonly used clinical definitions for obesity, that are derived from populations of white European descent (BMI ≥30 kg/m2; waist circumference ≥88 cm in women and ≥102 cm in men), may not be appropriate for screening diabetes risk in non-white groups. Accordingly, the WHO and International Diabetes Federation have proposed that overweight is defined as BMI >23 kg/m2, and obesity >27·5 kg/m2, in Asian adults, with waist circumference cut-offs of 80 cm for Asian women and 90 cm for Asian men(15,16) , although there is pressure for lower cut-offs to be introduced(Reference Misra, Chowbey and Makkar17). Currently there are no agreed specific cut-offs for men and women of black African-Caribbean ethnicity and European thresholds remain in use for these populations.

The development of diabetes often manifests itself, clinically, as the metabolic syndrome. First described in the 1980s, the metabolic syndrome is a clustering of metabolic abnormalities, namely abdominal obesity, hypertension, dyslipidaemia (low HDL-cholesterol and high TAG concentrations) and hyperglycaemia, which are associated with insulin resistance and commonly precede the onset of T2D(Reference Reaven18). In 2006, the International Diabetes Federation published a consensus worldwide definition to aid detection of metabolic syndrome(16). Using these criteria, it is estimated that about 22 % of adults have the metabolic syndrome and will go on to develop T2D(Reference O'Neill and O'Driscoll19). Studies that have investigated the prevalence of metabolic syndrome among high-risk ethnic groups have identified that the diagnostic criteria fail to detect T2D risk in populations of black African ancestry(Reference Sumner20Reference Sumner, Finley and Genovese23). Looking in more detail, several interesting differences from other ethnic groups have been described, and a distinct metabolic phenotype is emerging. Consistently, black African-Caribbean populations have been reported to exhibit pronounced insulin resistance(Reference Haffner, D'Agostino and Saad24Reference Osei and Cottrell27) and higher rates of hypertension compared to other ethnic groups(Reference Chaturvedi, Marmot and McKeigue28,Reference Chaturvedi, McKeigue and Marmot29) but in the absence of abdominal obesity(Reference Haffner, Howard and Mayer25,Reference Chaturvedi, McKeigue and Marmot30Reference Park, Zhu and Palaniappan32) and the characteristic dyslipidaemia of the metabolic syndrome(Reference Zoratti, Godsland and Chaturvedi26,Reference Chaturvedi, McKeigue and Marmot30,Reference Goff, Griffin and Lovegrove33) . Raised fasting TAG and low HDL-cholesterol concentrations are the principal lipid abnormalities associated with insulin resistance and T2D and are included in the diagnostic criteria for the metabolic syndrome. Often the TAG:HDL ratio is used as a lipid metric to detect T2D risk but there is extensive evidence to show that it fails to detect risk in populations of black African-Caribbean ethnicity(Reference Sumner20Reference Sumner, Finley and Genovese23). These findings from large epidemiological studies have provided evidence to suggest there are ethnic distinctions in the pathophysiology of T2D among black African-Caribbean ethnic groups, which have been investigated in detail in recent years.

Pathophysiology of type 2 diabetes

The main processes underlying the development of T2D are well described and emphasise the role of obesity, visceral and ectopic fat accumulation, insulin resistance and insulin secretory failure(Reference Defronzo34). Originally insulin resistance was proposed as the primary abnormality(Reference Reaven18) but earlier defects within adipose tissue are now believed to trigger a cascade of metabolic abnormalities, involving the liver, skeletal muscle and pancreas(Reference Scheen35). Three separate, but not mutually exclusive, theories explain how dysfunctional adipose tissue, and its inability to buffer excess fat, is proposed to be a primary defect underlying the development of T2D (Fig. 2). The spillover theory proposes that it is a limited capacity of subcutaneous adipocytes to store fatty acids which results in an overflow of fatty acids to the visceral compartment and expansion of this depot(Reference Lewis, Carpentier and Adeli36). The portal theory proposes that hypertrophic dysfunctional visceral adipocytes are highly lipolytic and have a greater flux of fatty acids than subcutaneous adipocytes, which are released into the portal circulation and become deposited in the liver, leading to ectopic fat accumulation in the liver and hepatic insulin resistance(Reference Bergman and Ader37). The twin-cycle hypothesis proposes that increased hepatic fat accumulation leads to increased export of VLDL-TAG from the liver, which then deposits in other organs and tissues, particularly the pancreatic β-cells, leading to the β-cell failure that underlies the development of frank T2D(Reference Taylor38). It is the accumulation of TAG within these ectopic depots that is believed to play an integral role in the development of T2D by causing metabolic disturbances within the organs/tissues in which it resides, termed lipotoxicity. Ectopic depots of importance include intrahepatic lipid (IHL), intramyocellular lipid and intrapancreatic lipid (IPL). In response to hepatic and peripheral insulin resistance, compensatory hypersecretion of insulin ensues to maintain normoglycaemia. Eventually ‘β-cell exhaustion’ or ‘burn-out’ occurs whereby the β-cells are unable to secrete sufficient insulin and a hyperglycaemic state develops(Reference Scheen35). Heterogeneity in the relationship between insulin sensitivity and insulin secretion has been recognised whereby glucose tolerance can be maintained, even in the presence of severe insulin resistance, if the insulin secretory capacity of the β-cells is able to balance the degree of insulin resistance. Conversely, an individual can become hyperglycaemic with a relatively low level of insulin resistance if they possess a relatively low β-cell secretory capacity(Reference Kahn39).

Fig. 2. Role of adipose tissue dysfunction and ectopic fat accumulation in the pathogenesis of type 2 diabetes. The spillover theory proposes that it is a limited capacity of subcutaneous adipocytes to store fatty acids which results in an overflow of fatty acids to the visceral compartment and expansion of this depot. The portal theory proposes that hypertrophic dysfunctional visceral adipocytes are highly lipolytic and have a greater flux of fatty acids, which are released into the portal circulation and become deposited in the liver, leading to ectopic fat accumulation in the liver and hepatic insulin resistance. The twin-cycle hypothesis proposes that increased hepatic fat accumulation leads to increased export of VLDL-TAG from the liver, which then deposits in other organs and tissues, particularly the pancreatic β-cells, leading to the β-cell failure that underlies the development of type 2 diabetes.

Ethnic distinctions in type 2 diabetes pathophysiology: a focus on black African-Caribbean populations

Insulin resistance

The role of insulin resistance in the development of T2D in black African-Caribbean populations has been investigated in many studies. Large cohort studies have consistently reported exaggerated insulin resistance among black African-Caribbean populations(Reference Zoratti, Godsland and Chaturvedi26,Reference Chaturvedi, McKeigue and Marmot30) . The first of these was the insulin resistance atherosclerosis study(Reference Haffner, D'Agostino and Saad24,Reference Haffner, Howard and Mayer25) , which was conducted in America in the 1990s. A limitation of these epidemiological studies is their use of indirect methods for assessing insulin sensitivity, such as the homeostatic model assessment(Reference Matthews, Hosker and Rudenski40) and the intravenous glucose tolerance test, which provide just an estimate of insulin sensitivity, and only measure at a whole-body level. The euglycaemic–hyperinsulinaemic clamp is considered the gold standard method for assessing insulin sensitivity(Reference DeFronzo, Tobin and Andres41), which, when used with the addition of stable isotopes, enables specific measurement of hepatic and skeletal muscle insulin sensitivity, thus providing greater insight as to where the defects in insulin action are occurring. There have been several studies investigating in vivo tissue-specific insulin resistance using the euglycaemic–hyperinsulinaemic clamp method with isotopes in black and white communities. These studies have primarily focused on women and high-risk adolescents, e.g. those with morbid obesity or prediabetes. In adolescents, peripheral insulin sensitivity has been shown to be lower(Reference Lee, Boesch and Kuk42Reference Arslanian, Saad and Lewy44) or no different(Reference Hannon, Bacha and Lin45Reference Lee and Arslanian47) in black compared to white populations with no clear reasoning as to why they are different. In terms of hepatic insulin sensitivity, black populations show no difference(Reference Lee, Boesch and Kuk42Reference Hannon, Bacha and Lin45,Reference Burns, Kelsey and Arslanian48Reference Schuster, Kien and Osei51) or greater sensitivity(Reference Bacha, Saad and Gungor46) compared to white adolescents. The greater hepatic insulin sensitivity in black adolescents is acknowledged as a surprise to the authors who believe it may be explained by lower visceral adipose tissue (VAT). Studies in women assessing peripheral insulin sensitivity show either no ethnic differences(Reference Goedecke, Keswell and Weinreich52) or reduced sensitivity(Reference DeLany, Dube and Standley53) in black compared to white populations. The differences here are likely due to the choice of female adiposity status (obese v. lean participants, respectively). Studies in women, which have assessed hepatic insulin sensitivity, show no difference(Reference DeLany, Dube and Standley53,Reference Chung, Courville and Onuzuruike54) , greater(Reference Goedecke, Keswell and Weinreich52) or lower(Reference Ellis, Alvarez and Granger55) sensitivity in black compared to white populations. The inconsistences here are likely due to methodological differences, where hepatic insulin resistance has been measured either at basal or during a hyperinsulinaemic state, or the obesity status of the participant populations. The very limited mixed sex studies have revealed no ethnic differences in peripheral(Reference Stefan, Stumvoll and Weyer56,Reference Pratley, Wilson and Bogardus57) or hepatic(Reference Stefan, Stumvoll and Weyer56) insulin sensitivity in black compared to white populations. Within black populations, women have been shown to display lower insulin sensitivity in comparison to men(Reference Goedecke, George and Veras58,Reference Falkner, Hulman and Kushner59) . They also present with a different body composition which suggests a sex-specific pathophysiology may be present. Overall these inconsistent findings could imply that the methods to assess insulin sensitivity are affected by ethnicity or that insulin resistance is not the sole driver for the increased T2D risk in black populations.

Insulin secretory function

Unlike the assessment of insulin sensitivity, there is no widely accepted gold standard methodology for the determination of insulin secretory function; therefore, the exploration of ethnic differences in this area has been complicated by the wide variety of techniques used. The most common techniques measure the insulin response to stimulation of the β-cell by glucose, either intravenously (as in the case of the hyperglycaemic clamp or intravenous tolerance test) or orally (as in the case of the oral glucose tolerance test or the mixed meal tolerance test). Surrogate indices are also used, which may be derived from fasting glucose and insulin, such as homeostasis model assessments of β-cell function(Reference Matthews, Hosker and Rudenski40), or from the oral glucose tolerance test or mixed meal tolerance test, such as the insulinogenic index. Each method has its strengths and limitations, for example, oral glucose and mixed meal tests are highly physiological while intravenous techniques allow specific assessment of the β-cell by excluding the modulating effect of the incretin hormones(Reference Ferrannini and Mari60,Reference Cobelli, Dalla Man and Toffolo61) . Most of the studies in the literature have employed the intravenous glucose tolerance test in their measurement of insulin secretion. A recent review of these studies concluded that black African-Caribbeans exhibit a higher insulin response to glucose compared to white Europeans(Reference Kodama, Tojjar and Yamada62). This has been demonstrated in studies in black populations both in African countries(Reference Osei, Schuster and Owusu63,Reference Goedecke, Dave and Faulenbach64) and across the globe(Reference Haffner, D'Agostino and Saad24,Reference Goff, Griffin and Lovegrove33,Reference Chiu, Chuang and Yoon65) . Furthermore, this higher insulinaemic response can be demonstrated from early childhood(Reference Arslanian, Suprasongsin and Janosky66Reference Uwaifo, Nguyen and Keil68).

In a widely accepted paradigm of T2D, increased insulin secretion represents a compensation for insulin resistance in order to maintain normoglycaemia. Therefore, it is important to note that when studies make an adjustment for the prevailing insulin sensitivity of black populations (e.g. through the calculation of a disposition index(Reference Kahn, Prigeon and McCulloch69)), their insulin response to glucose remains greater than that of white Europeans, suggesting that the phenomenon is not simply a compensatory response to increased insulin resistance(Reference Arslanian, Saad and Lewy44,Reference Hannon, Bacha and Lin45,Reference Osei and Gaillard70,Reference Goree, Darnell and Oster71) . It has therefore been speculated that β-cell function may be upregulated in black populations, contributing to their increased risk of T2D by predisposing to early β-cell exhaustion(Reference Hannon, Bacha and Lin45).

Hepatic insulin clearance

Circulating concentrations of insulin are determined by a balance between the rate of insulin secretion from the pancreatic β-cells and insulin degradation, which occurs predominantly in the liver. Upon its secretion from pancreatic β-cells, insulin reaches the liver through the portal circulation. Approximately 80 % of endogenous insulin is cleared by the liver during the first portal passage prior to reaching the systemic circulation. While the liver is the primary site of insulin clearance, the kidneys and skeletal muscle are also involved in its degradation(Reference Duckworth, Bennett and Hamel72). To quantify and differentiate the processes of insulin secretory function and hepatic insulin clearance, it is necessary to measure both c-peptide and insulin. C-peptide is co-secreted with insulin in equimolar concentrations but undergoes negligible metabolism in the liver; therefore, the measurement of circulating c-peptide provides a true assessment of the rate of insulin secretion(Reference Polonsky, Jaspan and Pugh73). Looking at all the studies of β-cell function, it is important to note that only a small minority include the measurement of c-peptide and are therefore able to differentiate between insulin secretory function and hepatic insulin clearance. There is increasing evidence that the hyperinsulinaemic response to glucose in black subjects is due to ethnic differences in rates of insulin clearance as well as β-cell insulin secretion. These studies have consistently observed lower rates of insulin clearance in black subjects compared to white(Reference Arslanian, Saad and Lewy44,Reference Uwaifo, Nguyen and Keil68,Reference Weiss, Dziura and Burgert74) . Furthermore, recent advances in modelling techniques have demonstrated that this is due to differences in hepatic rather than extra-hepatic insulin clearance(Reference Piccinini, Polidori and Gower75) and that reduced hepatic insulin clearance in black subjects can also be demonstrated from early childhood(Reference Piccinini, Polidori and Gower76).

Visceral and ectopic fat deposition

The observation that abdominal/visceral fat is a more sensitive predictor of insulin sensitivity than BMI has led to considerable interest in visceral fat in black populations. These studies have recognised that, despite being at high risk of T2D, black populations exhibit significantly less visceral fat than other ethnic groups(Reference Lovejoy, de la Bretonne and Klemperer77), a phenomenon that has been coined the African paradox. In a large pooled analysis of black women, Sumner et al. demonstrated a lesser increase in visceral fat per unit increase in waist circumference in black compared to white women(Reference Sumner, Micklesfield and Ricks78), raising a question regarding the role and importance of visceral fat in the development of T2D in black populations(Reference Goedecke, Mtintsilana and Dlamini79).

Ectopic fat, defined as the deposition of TAG within cells of non-adipose tissue, is proposed to be central to the development of T2D by causing metabolic disturbances in the organs/tissues in which it resides(Reference Gastaldelli and Basta80). Ectopic fat accumulation typically occurs during increasing adiposity due to reduced expandability of adipocytes within subcutaneous adipose tissue (SAT), which leads to a spillover of NEFA into other organs(Reference Unger81). However, individuals who have lipodystrophies, where genetic factors result in an inability to adequately store fat in SAT depots, also have high ectopic fat accumulation and develop insulin resistance at severely low BMI levels(Reference Melvin, O'Rahilly and Savage82). Therefore, an increase in ectopic fat is also considered to be a marker of a metabolic state of overwhelmed dysfunctional SAT caused by its limited expandability. This state is characterised by several features of SAT including hypertrophic adipocyte expansion, increased infiltration of macrophages, reduced insulin sensitivity and increased release of inflammatory cytokines, which are an indicator of chronic low-grade inflammation of SAT(Reference Bays, Gonzalez-Campoy and Bray83). The degree of expandability of SAT, which determines the point at which it dysfunctions, is mostly influenced by intrinsic factors, such as sex, as women have a greater capacity to store SAT leading to lower ectopic fat storage and a lower risk of T2D(Reference Cuthbertson, Steele and Wilding84). Recent research in South Asians has indicated that ethnicity may also influence the genetic factors that determine SAT expandability and ectopic fat storage(Reference Trouwborst, Bowser and Goossens85).

Ectopic fat has been studied in ethnic minority groups to understand the impact of ethnicity on ectopic fat deposition and its role in the development of T2D. South Asian populations exhibit greater levels of VAT and IHL at similar levels of whole-body adiposity compared to white populations(Reference Wulan, Westerterp and Plasqui86,Reference Petersen, Dufour and Feng87) . This has commonly been used to explain the greater risk of T2D in South Asians since they have a reduced capacity to store excess energy in SAT leading to increased ectopic fat deposition(Reference Sniderman, Bhopal and Prabhakaran88). However, the same cannot be said for black populations who, despite being at greater risk of T2D, have lower levels of ectopic fat compared to their white counterparts(Reference Goedecke, Mtintsilana and Dlamini79,Reference Alderete, Toledo-Corral and Goran89) . This phenomenon has previously been coined the African ectopic fat paradox(Reference Goran90).

The advancement of imaging technologies, such as computerised tomography and MRI, has allowed the direct quantification of regional fat deposition. Thereafter, several studies have reported ethnic differences in regional fat deposition between black and white populations. From as early as the 1990s, several studies have reported lower levels of VAT in black populations compared to white populations which has become a well-accepted phenomenon(Reference Goedecke, Mtintsilana and Dlamini79,Reference Alderete, Toledo-Corral and Goran89) . Furthermore, with increasing whole-body adiposity, VAT has been shown to increase to a lesser extent in blacks compared to whites, indicating a greater capacity to store excess energy in the more favourable SAT depot in blacks(Reference Nazare, Smith and Borel91).

While the pathogenic potential of VAT is well accepted in T2D risk, several reports have shown that the accumulation of IHL is more detrimental and plays a greater role in the development of T2D(Reference Okamura, Hashimoto and Hamaguchi92Reference Lee, Chung and Kang94). Similarly to VAT, IHL has also been reported to be consistently lower in black compared to white populations(Reference Guerrero, Vega and Grundy95,Reference Liska, Dufour and Zern96) . Furthermore, several large cohort studies have shown that the prevalence of non-alcoholic fatty liver disease is considerably lower in black populations and, in some studies, the prevalence is half that of white populations(Reference Rich, Oji and Mufti97,Reference Pan and Fallon98) . Lower levels of IHL, along with more favourable lipid profiles and reduced metabolic disturbances of the liver, have led researchers to question the understanding of the role of metabolic disturbances of the liver in the development of T2D in black populations(Reference Chung, Courville and Onuzuruike54,Reference D'Adamo, Northrup and Weiss99) .

Unlike VAT and IHL, there has been less investigation of IPL and intramyocellular lipid in black populations, which may be due to limitations in the techniques used to determine these depots, or the lack of clarity regarding their role in the development of T2D. Current investigations show that while intramyocellular lipid does not appear to differ between black and white populations, it is inversely associated with insulin sensitivity in white populations but not black populations, which may indicate a lesser role for intramyocellular lipid in insulin resistance in black individuals(Reference Ingram, Lara-Castro and Gower100,Reference Lawrence, Newcomer and Buchthal101) . Investigations of IPL in black populations provide inconclusive findings; while IPL appears lower in black populations compared to whites(Reference Szczepaniak, Victor and Mathur102,Reference Le, Ventura and Fisher103) , some reports find it to be inversely associated with β-cell insulin secretory function in blacks(Reference Szczepaniak, Victor and Mathur102), while others report no such association(Reference Le, Ventura and Fisher103). In a study investigating the role of IHL and IPL in blacks, Toledo-corral et al. showed IPL predicted prediabetes status in blacks while IHL did not, indicating IPL may be more detrimental than IHL in black populations(Reference Toledo-Corral, Alderete and Hu104).

The South London Diabetes and Ethnicity Phenotyping study

The South London Diabetes and Ethnicity Phenotyping (SouL-DeEP) study is being conducted to provide a detailed comparison of the principal pathophysiological processes involved in the development of T2D between men of black west African and white European ethnicity, to test the hypothesis that T2D is driven by relatively early failure of β-cell insulin secretory function in black west African men. Highly sophisticated techniques are being used: hyperglycaemic clamp and meal tolerance test methods enable the assessment of β-cell function, hepatic insulin clearance and incretin secretion; the euglycaemic–hyperinsulinaemic clamp with stable isotope infusions enables the assessment of insulin sensitivity at a whole-body level as well as distinguishing hepatic, skeletal muscle, and adipose tissue insulin sensitivity; and MRI and spectroscopy methods are being used to assess visceral fat and ectopic fat deposition in the skeletal muscle, liver and pancreas. Our study focuses on men as there is consistent evidence for sex differences in T2D pathophysiology in populations of black African ancestry(Reference Carnethon, Palaniappan and Burchfiel105,Reference Harris, Cowie and Gu106) . While the development of T2D in black women has been reasonably well studied(Reference Goedecke, Keswell and Weinreich52,Reference Goedecke, Dave and Faulenbach64,Reference Ellman, Keswell and Collins107) , there is a relative lack of studies conducted in men, despite high rates of T2D, which we aim to address through our work.

In our study of men with T2D, we have demonstrated greater insulin secretory deficits in black west African men compared with white Europeans(Reference Mohandas, Bonadonna and Shojee-Moradie108). Moreover, we have recognised that black west African men exhibit a comparable circulating insulin concentration to that of white Europeans through a greater reduction in hepatic insulin clearance, which acts to preserve circulating insulin concentrations(Reference Mohandas, Bonadonna and Shojee-Moradie108). Importantly, we have recognised that these ethnic differences in β-cell function and hepatic insulin clearance are not in response to differences in insulin sensitivity, as our clamp methods demonstrate comparable whole body, hepatic and peripheral insulin sensitivity(Reference Bello, Ladwa and Marathe109,Reference Bello, Mohandas and Shojee-Moradie110) .

Our imaging methods have enabled us to quantify visceral, liver and pancreatic fat and to investigate the associations between these measures and the metabolic processes. The black west African men have been found to have significantly lower visceral, hepatic and pancreatic fat compared to the white European men(Reference Hakim, Billoo and Sunderland111Reference Hakim, Bonadonna and Mohandas114), yet they exhibit comparable insulin resistance(Reference Bello, Mohandas and Shojee-Moradie110) and greater β-cell failure(Reference Mohandas, Bonadonna and Shojee-Moradie108). We have investigated whether there are ethnic differences in the associations between the fat depots and the metabolic variables and have found that whilst visceral fat associates with insulin resistance in both ethnic groups(Reference Bello, Ladwa and Marathe109,Reference Bello, Mohandas and Shojee-Moradie110) , hepatic fat associates with hepatic insulin resistance in only the white European men(Reference Hakim, Bello and Bonadonna113) but associates with hepatic insulin clearance in only the black west African men(Reference Hakim, Bello and Bonadonna113). Pancreatic fat has been found to associate with β-cell function but only in the white European men(Reference Hakim, Bonadonna and Mohandas114). These findings, taken together, show clear evidence of ethnic distinctions in the pathophysiology of T2D.

Our findings challenge the relevance of existing theories that put ectopic fat at the centre of the pathophysiology of T2D (Fig. 2), to populations of black African-Caribbean ethnicity. We have shown lower visceral and hepatic fat in black west African men, yet comparable insulin sensitivity; furthermore, the association between hepatic fat and insulin resistance that was seen in white European men was not evident in black west African men. Pancreatic fat is believed to be a principal driver of β-cell failure, according to the twin cycle hypothesis(Reference Taylor38), yet β-cell function was associated with pancreatic fat only in our white European men. These findings lead us to hypothesise that insulin resistance and β-cell failure develop independently of ectopic fat accumulation in black west African populations, and that ectopic fat is not the primary defect underlying the development of T2D. We are currently extending our work to investigate these mechanisms in men who are normally glucose tolerant and in men with impaired glucose tolerance to provide a greater understanding of how they are implicated in the progression to T2D. Data from our normal glucose-tolerant participants show that black men exhibit a pronounced hyperinsulinaemia compared to white men, and that this is driven by significantly lower hepatic insulin clearance rates rather than upregulated insulin secretion(Reference Ladwa, Bello and Shojaee-Moradie115). This leads us to hypothesise that hyperinsulinaemia is a primary defect in black west African men that occurs as a result of lower rates of hepatic insulin clearance, rather than in response to relative reductions in insulin sensitivity. We await further data on ectopic fat deposition and tissue-specific insulin sensitivity in our cohort of healthy men and in the men with impaired glucose tolerance, which will enable us to shed further light on our hypothesis and a much greater understanding of ethnic distinctions in the pathophysiology of T2D.

Conclusions

Populations of black African-Caribbean ethnicity are disproportionately affected by T2D. While the mainstream understanding of T2D pathophysiology focuses on the role of visceral and ectopic fat accumulation leading to insulin resistance and insulin secretory failure, there is compelling evidence for distinct processes in black populations. In populations of black African-Caribbean ethnicity, there is less central obesity and absence of the dyslipidaemia associated with insulin resistance. Furthermore, the metabolic syndrome criteria have little clinical utility for recognising T2D risk in black populations. More detailed investigations, showing lower VAT and hepatic fat deposition in black populations, provide evidence to suggest that ectopic fat plays a less central role in the development of insulin resistance in black populations. Hyperinsulinaemia is present, even in a healthy, normal glucose-tolerant state, driven by lower rates of hepatic insulin clearance rather than upregulated insulin secretion, and may be a primary defect in black populations. A greater understanding of these processes and the mechanisms underlying the development of T2D in black populations may lead to much needed improvements in prevention and treatment strategies.

Acknowledgements

The staff of the NIHR-Wellcome Trust King's Clinical Research Facility supported the SouL-DeEP study. Andrew Pernet, Bula Wilson and Ines De Abreu (research nurses, Diabetes Research Group, King's College Hospital, UK), Anne-Catherine Perz (King's College London, UK), Daniel Curtis (University of Surrey, UK), Tracy Dew (ViaPath, UK), Elka Giemsa (CRF manager, King's College Hospital, UK), Maddalena Trombetta (University of Verona, Italy) assisted with data collection and data analysis.

Financial Support

The SouL-DeEP study was funded by Diabetes UK (grant numbers 12/0004473 and 14/0004967).

Conflict of Interest

None.

Authorship

L. M. G. was lead author and took overall responsibility for the preparation of the manuscript; M. L. contributed to the writing of the insulin secretion and clearance sections; O. H. contributed to the writing of the ectopic fat section; O. B. contributed to the writing of the insulin resistance section.

References

1.International Diabetes Federation (2009) IDF Diabetes Atlas. https://www.diabetesatlas.org/across-the-globe.html (accessed April 2019).Google Scholar
3.Office of National Statistics (2011) Census data 2011. https://www.ons.gov.uk/census/2011census/2011censusdata (accessed April 2019).Google Scholar
4.Becker, E, Boreham, R, Chaudhury, M et al. (2006) Health Survey for England 2004. The Health of Minority Ethnic Groups. London: Joint Health Surveys Unit, National Centre for Social Research, Department of Epidemiology and Public Health at the Royal Free and University College Medical School.Google Scholar
5.Tillin, T, Hughes, AD, Godsland, IF et al. (2013) Insulin resistance and truncal obesity as important determinants of the greater incidence of diabetes in Indian Asians and African Caribbeans compared with Europeans: the Southall And Brent REvisited (SABRE) cohort. Diabetes Care 36, 383393.CrossRefGoogle ScholarPubMed
6.Paul, SK, Owusu Adjah, ES, Samanta, M et al. (2017) Comparison of body mass index at diagnosis of diabetes in a multi-ethnic population: a case-control study with matched non-diabetic controls. Diabetes Obes Metab 19, 10141023.CrossRefGoogle Scholar
7.Abdullah, A, Peeters, A, de Courten, M et al. (2010) The magnitude of association between overweight and obesity and the risk of diabetes: a meta-analysis of prospective cohort studies. Diabetes Res Clin Pract 89, 309319.CrossRefGoogle ScholarPubMed
8.Public Health England (2014) Adult obesity and type 2 diabetes.Google Scholar
9.Arroyo-Johnson, C & Mincey, KD (2016) Obesity epidemiology worldwide. Gastroenterol Clin North Am 45, 571579.CrossRefGoogle ScholarPubMed
10.Wang, L, Southerland, J, Wang, K et al. (2017) Ethnic differences in risk factors for obesity among adults in California, the United States. J Obes 2017, 2427483.CrossRefGoogle Scholar
11.Cossrow, N & Falkner, B (2004) Race/ethnic issues in obesity and obesity-related comorbidities. J Clin Endocrinol Metab 89, 25902594.CrossRefGoogle ScholarPubMed
12.Zhang, Q & Wang, Y (2004) Socioeconomic inequality of obesity in the United States: do gender, age, and ethnicity matter? Soc Sci Med 58, 11711180.CrossRefGoogle ScholarPubMed
13.Ntuk, UE, Gill, JM, Mackay, DF et al. (2014) Ethnic-specific obesity cutoffs for diabetes risk: cross-sectional study of 490,288 UK biobank participants. Diabetes Care 37, 25002507.CrossRefGoogle ScholarPubMed
14.Tillin, T, Sattar, N, Godsland, IF et al. (2015) Ethnicity-specific obesity cut-points in the development of Type 2 diabetes – a prospective study including three ethnic groups in the United Kingdom. Diabet Med 32, 226234.CrossRefGoogle ScholarPubMed
15.Expert Consultation WHO (2004) Appropriate body mass index for Asian populations and its implications for policy and intervention strategies. Lancet 363, 157163.CrossRefGoogle Scholar
16.International Diabetes Federation (2005) The IDF consensus worldwide definition of the metabolic syndrome.Google Scholar
17.Misra, A, Chowbey, P, Makkar, BM et al. (2009) Consensus statement for diagnosis of obesity, abdominal obesity and the metabolic syndrome for Asian Indians and recommendations for physical activity, medical and surgical management. J Assoc Physicians India 57, 163170.Google ScholarPubMed
18.Reaven, GM (1988) Banting lecture 1988. Role of insulin resistance in human disease. Diabetes 37, 15951607.CrossRefGoogle ScholarPubMed
19.O'Neill, S & O'Driscoll, L (2015) Metabolic syndrome: a closer look at the growing epidemic and its associated pathologies. Obes Rev 16, 112.CrossRefGoogle Scholar
20.Sumner, AE (2009) ‘Half the dsylipidemia of insulin resistance’ is the dsylipidemia of insulin-resistant Blacks. Ethn Dis 19, 462465.Google Scholar
21.Sumner, AE & Cowie, CC (2008) Ethnic differences in the ability of triglyceride levels to identify insulin resistance. Atherosclerosis 196, 696703.CrossRefGoogle ScholarPubMed
22.Sumner, AE (2009) Ethnic differences in triglyceride levels and high-density lipoprotein lead to underdiagnosis of the metabolic syndrome in black children and adults. J Pediatr 155, S711.CrossRefGoogle ScholarPubMed
23.Sumner, AE, Finley, KB, Genovese, DJ et al. (2005) Fasting triglyceride and the triglyceride-HDL cholesterol ratio are not markers of insulin resistance in African Americans. Arch Intern Med 165, 13951400.CrossRefGoogle Scholar
24.Haffner, SM, D'Agostino, R, Saad, MF et al. (1996) Increased insulin resistance and insulin secretion in nondiabetic African-Americans and Hispanics compared with non-Hispanic whites. The Insulin Resistance Atherosclerosis Study. Diabetes 45, 742748.CrossRefGoogle ScholarPubMed
25.Haffner, SM, Howard, G, Mayer, E et al. (1997) Insulin sensitivity and acute insulin response in African-Americans, non-Hispanic whites, and Hispanics with NIDDM: the Insulin Resistance Atherosclerosis Study. Diabetes 46, 6369.CrossRefGoogle ScholarPubMed
26.Zoratti, R, Godsland, IF, Chaturvedi, N et al. (2000) Relation of plasma lipids to insulin resistance, nonesterified fatty acid levels, and body fat in men from three ethnic groups: relevance to variation in risk of diabetes and coronary disease. Metabolism 49, 245252.CrossRefGoogle ScholarPubMed
27.Osei, K & Cottrell, DA (1994) Minimal model analyses of insulin sensitivity and glucose-dependent glucose disposal in black and white Americans: a study of persons at risk for type 2 diabetes. Eur J Clin Invest 24, 843850.CrossRefGoogle ScholarPubMed
28.Chaturvedi, N, Marmot, MG & McKeigue, PM (1994) Racial differences and hypertension. Br Med J 308, 16341635.CrossRefGoogle ScholarPubMed
29.Chaturvedi, N, McKeigue, PM & Marmot, MG (1993) Resting and ambulatory blood pressure differences in Afro-Caribbeans and Europeans. Hypertension 22, 9096.CrossRefGoogle ScholarPubMed
30.Chaturvedi, N, McKeigue, PM & Marmot, MG (1994) Relationship of glucose intolerance to coronary risk in Afro-Caribbeans compared with Europeans. Diabetologia 37, 765772.CrossRefGoogle ScholarPubMed
31.Saad, MF, Rewers, M, Selby, J et al. (2004) Insulin resistance and hypertension: the Insulin Resistance Atherosclerosis study. Hypertension 43, 13241331.CrossRefGoogle ScholarPubMed
32.Park, YW, Zhu, S, Palaniappan, L et al. (2003) The metabolic syndrome: prevalence and associated risk factor findings in the US population from the Third National Health and Nutrition Examination Survey, 1988–1994. Arch Intern Med 163, 427436.CrossRefGoogle ScholarPubMed
33.Goff, LM, Griffin, BA, Lovegrove, JA et al. (2013) Ethnic differences in beta-cell function, dietary intake and expression of the metabolic syndrome among UK adults of South Asian, black African-Caribbean and white-European origin at high risk of metabolic syndrome. Diabetes Vasc Dis Res 10, 315323.CrossRefGoogle ScholarPubMed
34.Defronzo, RA (2009) Banting lecture. From the triumvirate to the ominous octet: a new paradigm for the treatment of type 2 diabetes mellitus. Diabetes 58, 773795.CrossRefGoogle ScholarPubMed
35.Scheen, AJ (2003) Pathophysiology of type 2 diabetes. Acta Clin Belg 58, 335341.CrossRefGoogle ScholarPubMed
36.Lewis, GF, Carpentier, A, Adeli, K et al. (2002) Disordered fat storage and mobilization in the pathogenesis of insulin resistance and type 2 diabetes. Endocr Rev 23, 201229.CrossRefGoogle ScholarPubMed
37.Bergman, RN & Ader, M (2000) Free fatty acids and pathogenesis of type 2 diabetes mellitus. Trends Endocrinol Metab 11, 351356.CrossRefGoogle ScholarPubMed
38.Taylor, R (2013) Banting Memorial lecture 2012: reversing the twin cycles of type 2 diabetes. Diabet Med 30, 267275.CrossRefGoogle ScholarPubMed
39.Kahn, SE (2003) The relative contributions of insulin resistance and beta-cell dysfunction to the pathophysiology of Type 2 diabetes. Diabetologia 46, 319.CrossRefGoogle ScholarPubMed
40.Matthews, DR, Hosker, JP, Rudenski, AS et al. (1985) Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 28, 412419.CrossRefGoogle ScholarPubMed
41.DeFronzo, RA, Tobin, J & Andres, R (1979) Glucose clamp technique: a method for quantifying insulin secretion and resistance. Am J Physiol 237, E214-E223.Google ScholarPubMed
42.Lee, S, Boesch, C, Kuk, JL et al. (2013) Effects of an overnight intravenous lipid infusion on intramyocellular lipid content and insulin sensitivity in African-American versus Caucasian adolescents. Metabolism 62, 417423.CrossRefGoogle ScholarPubMed
43.Bacha, F, Gungor, N, Lee, S et al. (2012) Type 2 diabetes in youth: are there racial differences in β-cell responsiveness relative to insulin sensitivity? Pediatr Diabetes 13, 259265.CrossRefGoogle ScholarPubMed
44.Arslanian, SA, Saad, R, Lewy, V et al. (2002) Hyperinsulinemia in African-American children: decreased insulin clearance and increased insulin secretion and its relationship to insulin sensitivity. Diabetes 51, 30143019.CrossRefGoogle ScholarPubMed
45.Hannon, TS, Bacha, F, Lin, Y et al. (2008) Hyperinsulinemia in African-American adolescents compared with their American white peers despite similar insulin sensitivity: a reflection of upregulated beta-cell function? Diabetes Care 31, 14451447.CrossRefGoogle ScholarPubMed
46.Bacha, F, Saad, R, Gungor, N et al. (2003) Obesity, regional fat distribution, and syndrome X in obese black versus white adolescents: race differential in diabetogenic and atherogenic risk factors. J Clin Endocrinol Metab 88, 25342540.CrossRefGoogle ScholarPubMed
47.Lee, S & Arslanian, S (2019) Body composition and cardiorespiratory fitness between metabolically healthy versus metabolically unhealthy obese black and white adolescents. The Journal of Adolescent Health 64, 327332.CrossRefGoogle ScholarPubMed
48.Burns, SF, Kelsey, SF & Arslanian, SA (2009) Effects of an intravenous lipid challenge and free fatty acid elevation on in vivo insulin sensitivity in African American versus Caucasian adolescents. Diabetes Care 32, 355.CrossRefGoogle ScholarPubMed
49.Hoffman, RP (2008) Indices of insulin action calculated from fasting glucose and insulin reflect hepatic, not peripheral, insulin sensitivity in African-American and Caucasian adolescents. Pediatr Diabetes 9, 5761.CrossRefGoogle Scholar
50.Hoffman, RP (2006) Increased fasting triglyceride levels are associated with hepatic insulin resistance in Caucasian but not African-American adolescents. Diabetes Care 29, 14021404.CrossRefGoogle Scholar
51.Schuster, DP, Kien, CL & Osei, K (1998) Differential impact of obesity on glucose metabolism in Black and White American adolescents. Am J Med Sci 316, 361367.Google ScholarPubMed
52.Goedecke, JH, Keswell, D, Weinreich, C et al. (2015) Ethnic differences in hepatic and systemic insulin sensitivity and their associated determinants in obese black and white South African women. Diabetologia 58, 26472652.CrossRefGoogle ScholarPubMed
53.DeLany, JP, Dube, JJ, Standley, RA et al. (2014) Racial differences in peripheral insulin sensitivity and mitochondrial capacity in the absence of obesity. J Clin Endocrinol Metab 99, 43074314.CrossRefGoogle ScholarPubMed
54.Chung, ST, Courville, AB, Onuzuruike, AU et al. (2018) Gluconeogenesis and risk for fasting hyperglycemia in Black and White women. JCI Insight 3, pii 121495.CrossRefGoogle ScholarPubMed
55.Ellis, AC, Alvarez, JA, Granger, WM et al. (2012) Ethnic differences in glucose disposal, hepatic insulin sensitivity, and endogenous glucose production among African American and European American women. Metabolism 61, 634640.CrossRefGoogle ScholarPubMed
56.Stefan, N, Stumvoll, M, Weyer, C et al. (2004) Exaggerated insulin secretion in Pima Indians and African-Americans but higher insulin resistance in Pima Indians compared to African-Americans and Caucasians. Diabetic Medicine 21, 10901095.CrossRefGoogle ScholarPubMed
57.Pratley, RE, Wilson, C & Bogardus, C (1995) Relation of the white blood cell count to obesity and insulin resistance: effect of race and gender. Obes Res 3, 563571.CrossRefGoogle ScholarPubMed
58.Goedecke, JH, George, C, Veras, K et al. (2016) Sex differences in insulin sensitivity and insulin response with increasing age in black South African men and women. Diabetes Res Clin Pract 122, 207214.CrossRefGoogle ScholarPubMed
59.Falkner, B, Hulman, S & Kushner, H (1994) Gender differences in insulin-stimulated glucose utilization among African-Americans. Am J Hypertens 7, 948952.CrossRefGoogle ScholarPubMed
60.Ferrannini, E & Mari, A (2014) beta-Cell function in type 2 diabetes. Metabolism 63, 12171227.CrossRefGoogle ScholarPubMed
61.Cobelli, C, Dalla Man, C, Toffolo, G et al. (2014) The oral minimal model method. Diabetes 63, 12031213.CrossRefGoogle ScholarPubMed
62.Kodama, K, Tojjar, D, Yamada, S et al. (2013) Ethnic differences in the relationship between insulin sensitivity and insulin response: a systematic review and meta-analysis. Diabetes Care 36, 17891796.CrossRefGoogle ScholarPubMed
63.Osei, K, Schuster, DP, Owusu, SK et al. (1997) Race and ethnicity determine serum insulin and C-peptide concentrations and hepatic insulin extraction and insulin clearance: comparative studies of three populations of West African ancestry and white Americans. Metabolism 46, 5358.CrossRefGoogle ScholarPubMed
64.Goedecke, JH, Dave, JA, Faulenbach, MV et al. (2009) Insulin response in relation to insulin sensitivity: an appropriate beta-cell response in black South African women. Diabetes Care 32, 860865.CrossRefGoogle ScholarPubMed
65.Chiu, KC, Chuang, LM & Yoon, C (2001) Comparison of measured and estimated indices of insulin sensitivity and beta cell function: impact of ethnicity on insulin sensitivity and beta cell function in glucose-tolerant and normotensive subjects. J Clin Endocrinol Metab 86, 16201625.Google ScholarPubMed
66.Arslanian, S, Suprasongsin, C & Janosky, JE (1997) Insulin secretion and sensitivity in black versus white prepubertal healthy children. J Clin Endocrinol Metab 82, 19231927.Google ScholarPubMed
67.Higgins, PB, Fernandez, JR, Garvey, WT et al. et al. (2008) Entero-insular axis and postprandial insulin differences in African American and European American children. Am J Clin Nutr 88, 12771283.Google ScholarPubMed
68.Uwaifo, GI, Nguyen, TT, Keil, MF et al. (2002) Differences in insulin secretion and sensitivity of Caucasian and African American prepubertal children. J Pediatr 140, 673680.CrossRefGoogle ScholarPubMed
69.Kahn, SE, Prigeon, RL, McCulloch, DK et al. (1993) Quantification of the relationship between insulin sensitivity and beta-cell function in human subjects. Evidence for a hyperbolic function. Diabetes 42, 16631672.CrossRefGoogle ScholarPubMed
70.Osei, K & Gaillard, T (2017) Ethnic differences in glucose effectiveness and disposition index in overweight/obese African American and white women with prediabetes: a study of compensatory mechanisms. Diabetes Res Clin Pract 130, 278285.CrossRefGoogle ScholarPubMed
71.Goree, LL, Darnell, BE, Oster, RA et al. (2010) Associations of free fatty acids with insulin secretion and action among African-American and European-American girls and women. Obesity (Silver Spring, Md) 18, 247253.CrossRefGoogle ScholarPubMed
72.Duckworth, WC, Bennett, RG & Hamel, FG (1998) Insulin degradation: progress and potential. Endocr Rev 19, 608624.Google ScholarPubMed
73.Polonsky, K, Jaspan, J, Pugh, W et al. (1983) Metabolism of C-peptide in the dog. In vivo demonstration of the absence of hepatic extraction. J Clin Invest 72, 11141123.CrossRefGoogle ScholarPubMed
74.Weiss, R, Dziura, JD, Burgert, TS et al. (2006) Ethnic differences in beta cell adaptation to insulin resistance in obese children and adolescents. Diabetologia 49, 571579.CrossRefGoogle ScholarPubMed
75.Piccinini, F, Polidori, DC, Gower, BA et al. (2017) Hepatic but not extrahepatic insulin clearance is lower in African American than in European American women. Diabetes 66, 25642570.CrossRefGoogle Scholar
76.Piccinini, F, Polidori, DC, Gower, BA et al. (2018) Dissection of hepatic versus extra-hepatic insulin clearance: ethnic differences in childhood. Diabetes Obes Metab 20, 28692875.CrossRefGoogle ScholarPubMed
77.Lovejoy, JC, de la Bretonne, JA, Klemperer, M et al. (1996) Abdominal fat distribution and metabolic risk factors: effects of race. Metabolism 45, 11191124.CrossRefGoogle ScholarPubMed
78.Sumner, AE, Micklesfield, LK, Ricks, M et al. (2011) Waist circumference, BMI, and visceral adipose tissue in white women and women of African descent. Obesity (Silver Spring) 19, 671674.CrossRefGoogle ScholarPubMed
79.Goedecke, JH, Mtintsilana, A, Dlamini, SN et al. (2017) Type 2 diabetes mellitus in African women. Diabetes Res Clin Pract 123, 8796.CrossRefGoogle ScholarPubMed
80.Gastaldelli, A & Basta, G (2010) Ectopic fat and cardiovascular disease: what is the link? Nutr Metab Cardiovasc Dis 20, 481490.CrossRefGoogle ScholarPubMed
81.Unger, RH (2003) Minireview: weapons of lean body mass destruction: the role of ectopic lipids in the metabolic syndrome. Endocrinology 144, 51595165.CrossRefGoogle ScholarPubMed
82.Melvin, A, O'Rahilly, S & Savage, DB (2018) Genetic syndromes of severe insulin resistance. Curr Opin Genet Dev 50, 6067.CrossRefGoogle ScholarPubMed
83.Bays, HE, Gonzalez-Campoy, JM, Bray, GA et al. (2008) Pathogenic potential of adipose tissue and metabolic consequences of adipocyte hypertrophy and increased visceral adiposity. Expert Rev Cardiovasc Ther 6, 343368.CrossRefGoogle ScholarPubMed
84.Cuthbertson, DJ, Steele, T, Wilding, JP et al. (2017) What have human experimental overfeeding studies taught us about adipose tissue expansion and susceptibility to obesity and metabolic complications? Int J Obes 41, 853865.CrossRefGoogle ScholarPubMed
85.Trouwborst, I, Bowser, SM, Goossens, GH et al. (2018) Ectopic fat accumulation in distinct insulin resistant phenotypes; targets for personalized nutritional interventions. Front Nutr 5, 77.CrossRefGoogle ScholarPubMed
86.Wulan, SN, Westerterp, KR & Plasqui, G (2010) Ethnic differences in body composition and the associated metabolic profile: a comparative study between Asians and Caucasians. Maturitas 65, 315319.CrossRefGoogle ScholarPubMed
87.Petersen, KF, Dufour, S, Feng, J et al. (2006) Increased prevalence of insulin resistance and nonalcoholic fatty liver disease in Asian-Indian men. Proc Natl Acad Sci USA 103, 1827318277.CrossRefGoogle ScholarPubMed
88.Sniderman, AD, Bhopal, R, Prabhakaran, D et al. (2007) Why might South Asians be so susceptible to central obesity and its atherogenic consequences? The adipose tissue overflow hypothesis. Int J Epidemiol 36, 220225.CrossRefGoogle ScholarPubMed
89.Alderete, T, Toledo-Corral, C & Goran, M (2014) Metabolic basis of ethnic differences in diabetes risk in overweight and obese youth. Curr Diab Rep 14, 455.CrossRefGoogle ScholarPubMed
90.Goran, MI (2008) Ethnic-specific pathways to obesity-related disease: the Hispanic vs. African-American paradox. Obesity (Silver Spring, Md) 16, 25612565.CrossRefGoogle ScholarPubMed
91.Nazare, JA, Smith, JD, Borel, AL et al. (2012) Ethnic influences on the relations between abdominal subcutaneous and visceral adiposity, liver fat, and cardiometabolic risk profile: the international study of prediction of intra-abdominal adiposity and its relationship with cardiometabolic risk/intra-abdominal adiposity. Am J Clin Nutr 96, 714726.CrossRefGoogle Scholar
92.Okamura, T, Hashimoto, Y, Hamaguchi, M et al. (2019) Ectopic fat obesity presents the greatest risk for incident type 2 diabetes: a population-based longitudinal study. International Journal of Obesity 43, 139148.CrossRefGoogle ScholarPubMed
93.Fabbrini, E, Magkos, F, Mohammed, BS et al. (2009) Intrahepatic fat, not visceral fat, is linked with metabolic complications of obesity. Proc Natl Acad Sci USA 106, 1543015435.CrossRefGoogle Scholar
94.Lee, J, Chung, DS, Kang, JH et al. (2012) Comparison of visceral fat and liver fat as risk factors of metabolic syndrome. J Korean Med Sci 27, 184189.CrossRefGoogle ScholarPubMed
95.Guerrero, R, Vega, GL, Grundy, SM et al. (2009) Ethnic differences in hepatic steatosis: an insulin resistance paradox? Hepatology 49, 791801.CrossRefGoogle ScholarPubMed
96.Liska, D, Dufour, S, Zern, TL et al. (2007) Interethnic differences in muscle, liver and abdominal fat partitioning in obese adolescents. PLoS ONE 2, e569.CrossRefGoogle ScholarPubMed
97.Rich, NE, Oji, S, Mufti, AR et al. (2018) Racial and ethnic disparities in nonalcoholic fatty liver disease prevalence, severity, and outcomes in the United States: a systematic review and meta-analysis. Clinical Gastroenterology and Hepatology 16, 198210. e192.CrossRefGoogle ScholarPubMed
98.Pan, JJ & Fallon, MB (2014) Gender and racial differences in nonalcoholic fatty liver disease. World J Hepatol 6, 274283.CrossRefGoogle ScholarPubMed
99.D'Adamo, E, Northrup, V, Weiss, R et al. (2010) Ethnic differences in lipoprotein subclasses in obese adolescents: importance of liver and intraabdominal fat accretion. Am J Clin Nutr 92, 500508.CrossRefGoogle ScholarPubMed
100.Ingram, KH, Lara-Castro, C, Gower, BA et al. (2011) Intramyocellular lipid and insulin resistance: differential relationships in European and African Americans. Obesity (Silver Spring, Md) 19, 14691475.CrossRefGoogle ScholarPubMed
101.Lawrence, JC, Newcomer, BR, Buchthal, SD et al. (2011) Relationship of intramyocellular lipid to insulin sensitivity may differ with ethnicity in healthy girls and women. Obesity (Silver Spring, Md) 19, 4348.CrossRefGoogle ScholarPubMed
102.Szczepaniak, LS, Victor, RG, Mathur, R et al. (2012) Pancreatic steatosis and its relationship to beta-cell dysfunction in humans: racial and ethnic variations. Diabetes care 35, 23772383.CrossRefGoogle ScholarPubMed
103.Le, KA, Ventura, EE, Fisher, JQ et al. (2011) Ethnic differences in pancreatic fat accumulation and its relationship with other fat depots and inflammatory markers. Diabetes Care 34, 485490.CrossRefGoogle ScholarPubMed
104.Toledo-Corral, CM, Alderete, TL, Hu, HH et al. (2013) Ectopic fat deposition in prediabetic overweight and obese minority adolescents. J Clin Endocrinol Metab 98, 11151121.CrossRefGoogle ScholarPubMed
105.Carnethon, MR, Palaniappan, LP, Burchfiel, CM et al. (2002) Serum insulin, obesity, and the incidence of type 2 diabetes in black and white adults: the atherosclerosis risk in communities study: 1987–1998. Diabetes Care 25, 13581364.CrossRefGoogle ScholarPubMed
106.Harris, MI, Cowie, CC, Gu, K et al. (2002) Higher fasting insulin but lower fasting C-peptide levels in African Americans in the US population. Diabetes Metab Res Rev 18, 149155.CrossRefGoogle ScholarPubMed
107.Ellman, N, Keswell, D, Collins, M et al. (2015) Ethnic differences in the association between lipid metabolism genes and lipid levels in black and white South African women. Atherosclerosis 240, 311317.CrossRefGoogle ScholarPubMed
108.Mohandas, C, Bonadonna, R, Shojee-Moradie, F et al. (2018) Ethnic differences in insulin secretory function between black African and white European men with early type 2 diabetes. Diabetes Obes Metab 20, 16781687.CrossRefGoogle ScholarPubMed
109.Bello, O, Ladwa, M, Marathe, CS et al. (2018) The impact of ethnicity on the association between insulin sensitivity and adiposity measures in Black African and White European men with normal glucose tolerance and type 2 diabetes. Diabetic Med 35, 1.Google Scholar
110.Bello, O, Mohandas, C, Shojee-Moradie, F et al. (2019) Black African men with early type 2 diabetes have similar muscle, liver and adipose tissue insulin sensitivity to white European men despite lower visceral fat. Diabetologia 62, 835844.CrossRefGoogle ScholarPubMed
111.Hakim, O, Billoo, Z, Sunderland, A et al. (2018) Associations between ectopic fat and hepatic and adipose tissue insulin sensitivity in men of White European and Black West African ethnicity with type 2 diabetes. Diabet Med 35, 1.Google Scholar
112.Hakim, O, Charles-Edwards, G, Whitcher, B et al. (2017) Associations between regional and whole-body fat and insulin sensitivity in type 2 diabetic men of White and Black ethnicity. Proc Nutr Soc 76, 1.Google Scholar
113.Hakim, O, Bello, O, Bonadonna, RC et al. (2019) Ethnic differences in intrahepatic lipid and its association with hepatic insulin sensitivity and insulin clearance between men of Black and White ethnicity with early type 2 diabetes. Diabetes Obes Metab (In the Press).CrossRefGoogle ScholarPubMed
114.Hakim, O, Bonadonna, RC, Mohandas, C et al. (2019) Associations between pancreatic lipids and beta-cell function in Black African and White European Men with type 2 diabetes. J Clin Endocrinol Metab 104, 12011210.CrossRefGoogle ScholarPubMed
115.Ladwa, M, Bello, O, Shojaee-Moradie, F et al. (2019) Hyperinsulinaemia in healthy black Africans is driven by reduced hepatic insulin clearance. In Diab Med. Diabetes UK Professional Conference, vol. 36, (suppl. 1), 24.Google Scholar
Figure 0

Fig. 1. Age distribution of people with type 2 diabetes in White-European, African-Caribbean and South Asian ethnic groups in the UK. Reproduced from Paul SK et al.(6).

Figure 1

Fig. 2. Role of adipose tissue dysfunction and ectopic fat accumulation in the pathogenesis of type 2 diabetes. The spillover theory proposes that it is a limited capacity of subcutaneous adipocytes to store fatty acids which results in an overflow of fatty acids to the visceral compartment and expansion of this depot. The portal theory proposes that hypertrophic dysfunctional visceral adipocytes are highly lipolytic and have a greater flux of fatty acids, which are released into the portal circulation and become deposited in the liver, leading to ectopic fat accumulation in the liver and hepatic insulin resistance. The twin-cycle hypothesis proposes that increased hepatic fat accumulation leads to increased export of VLDL-TAG from the liver, which then deposits in other organs and tissues, particularly the pancreatic β-cells, leading to the β-cell failure that underlies the development of type 2 diabetes.