Abstract
Aims/hypothesis
There is evidence to suggest that ectopic fat deposition in liver and skeletal muscle may differ between black and white women resulting in organ-specific differences in insulin sensitivity. Accordingly, the aim of the study was to examine ethnic differences in hepatic and peripheral insulin sensitivity, and the association with hepatic and skeletal muscle lipid content, and skeletal muscle gene expression.
Methods
In a cross-sectional study including 30 obese premenopausal black and white women, body composition (dual energy x-ray absorptiometry), liver fat and skeletal muscle (soleus and tibialis anterior) fat accumulation (proton-magnetic resonance spectroscopy), skeletal muscle gene expression, insulin sensitivity (two-step isotope labelled, hyperinsulinaemic–euglycaemic clamp with 10 mU m–2 min–1 and 40 mU m–2 min–1 insulin infusions), and serum adipokines were measured.
Results
We found that, although whole-body insulin sensitivity was not different, obese white women presented with lower hepatic insulin sensitivity than black women (% suppression of endogenous glucose production [% supp EGP], median [interquartile range (IQR)]: 17 [5–51] vs 56 [29–100] %, p=0.002). While liver fat tended to be lower (p=0.065) and skeletal muscle fat deposition tended to be higher (p=0.074) in black compared with white women, associations with insulin sensitivity were only observed in black women (% supp EGP vs liver fat: r=–0.57, p<0.05 and % supp EGP vs soleus fat: r=–0.56, p<0.05).
Conclusions/interpretation
These findings may suggest that black women are more sensitive to the effects of ectopic lipid deposition than white women.
Keywords: Black African, Ectopic fat, Ethnicity, Euglycaemic–hyperinsulinaemic clamp, Hepatic insulin sensitivity, Liver fat, Peripheral insulin sensitivity, Skeletal muscle lipid
Introduction
Type 2 diabetes and insulin resistance are more prevalent in populations of African origin than white populations [1, 2], but the main site of insulin resistance in obese black women is not known. Ectopic fat deposition in liver and skeletal muscle may differ by ethnicity [3, 4], resulting in organ-specific differences in insulin resistance. Whether this is related to tissue-specific alterations in insulin signalling among obese black women has, to our knowledge, not been studied.
Accordingly, in a sample of obese premenopausal black and white women, we sought to: (1) examine ethnic differences in hepatic and peripheral insulin sensitivity (SI); (2) measure differences in hepatic and skeletal muscle lipid content and their association with SI; and (3) measure the expression of genes involved in insulin signalling, fat oxidation and inflammation in skeletal muscle, and their ethnic-specific associations with SI.
Methods
Participant selection
This cross-sectional study included 30 obese premenopausal black and white women, matched for age (30–45 years) and BMI (≥30 kg/m2), with no known diseases, not pregnant or lactating, and who consumed <20 g alcohol/day. The study was undertaken in accordance with the guidelines of The Declaration of Helsinki and approved by the University of Cape Town Faculty of Health Sciences Human Research Ethics Committee. Participants gave written informed consent prior to participation.
Testing procedures
A questionnaire was administered to measure family history of type 2 diabetes, smoking, alcohol and dietary intake (food frequency) [5]. Physical activity was measured using actigraphy (ActiGraph LLC, Pensacola, FL, USA). Fat mass, fat-free mass (FFM), abdominal visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) areas were measured by dual energy x-ray absorptiometry (DXA, Discovery-W, software 12.7.3.7; Hologic, Bedford, MA, USA).
Fasting blood samples were drawn for metabolites, insulin and adipocytokines before a standard 75 g OGTT. On another day, a two-step euglycaemic (±5 mmol/l), hyperinsulinaemic clamp, with 6,6-[2H2]glucose isotope label was performed, with a 3 h low-dose insulin infusion (10 mU m–2 min–1), followed by a 2 h higher dose insulin infusion (40 mU m–2 min–1), with samples drawn and respiratory exchange ratio (RER) measured (Quark RMR, Cosmed, Rome, Italy) in the last 30 min of each period. Serum metabolites, insulin and adipocytokines were measured using standard techniques (Electronic Supplementary Material [ESM] Methods) and 6,6-[2H2]glucose was measured using Agilent 6890 gas chromatograph and analysed using ChemStation software (Agilent Technologies, Palo Alto, CA, USA).
Hepatic, and intra- (IMCL) and extra-myocellular lipid (EMCL), and total lipid content of the soleus and tibialis anterior (TA) muscles of the calf were measured by 1H-magnetic resonance spectroscopy (MRS) and MRI, respectively, using a 3 Tesla scanner (GE Healthcare, Global Diagnostic Imaging, Pewaukee, WI, USA).
A biopsy was taken from the vastus lateralis muscle from which RNA was extracted and the expression of genes (ESM Table 1) was measured using the Applied Biosystems 7900HT Fast Real-time PCR system using standard cycling conditions (Applied Biosystems, Foster City, CA, USA) and expressed relative to β2 microglobulin.
Statistics
Differences in participant characteristics were compared using χ2 analysis, one-way analysis of variance and/or covariance, adjusting for fat mass index (FMI), which takes into account differences in height and fat mass between groups. Bivariate associations were explored using Pearson's correlation coefficients, which informed multiple regression analyses that included an interaction term (ethnicity×independent variable). Data were analysed using STATA version 11.1 (StataCorp, College Station, TX, USA).
Results
Participant characteristics
The obese white and black women were of similar age, BMI, FFM and VAT, but black women were shorter and had a greater % body fat and FMI (Table 1). The women performed similar daily physical activity and consumed similar amounts of dietary fat. More white than black women consumed alcohol and had a family history of diabetes (26.7 vs 6.7%, p=0.087). Serum adiponectin was higher in white than black women, but high sensitivity C-reactive protein (hs-CRP) and other circulating inflammatory markers (data not shown) were not different.
Table 1.
Variable | Obese white (n = 15) | Obese black (n = 15) | p value | p adjust FMI |
---|---|---|---|---|
Age (years) | 36±4 | 36±5 | 0.978 | |
Body composition | ||||
BMI (kg/m2) | 35.2±3.5 | 37.9±5.1 | 0.106 | |
FFM (kg) | 52.4±7.4 | 49.7±6.7 | 0.297 | |
Fat mass (kg) | 42.5±6.1 | 47.1±9.8 | 0.131 | |
Body fat (%) | 44.8±3.6 | 48.4±3.4 | 0.008 | |
FMI (kg/m2) | 15.4±2.2 | 18.1±3.6 | 0.017 | |
Waist (cm) | 97.6±7.5 | 101.8±10.3 | 0.207 | |
VAT (cm2) | 170±40 | 179±45 | 0.590 | 0.646 |
SAT (cm2) | 534±89 | 596±101 | 0.085 | 0.903 |
Circulating proteins | ||||
Adiponectin (mg/l) | 4.4 (3.2–5.9) | 2.7 (2.0–3.8) | 0.025 | 0.022 |
hs-CRP (ng/ml) | 4.4±2.2 | 5.2±2.8 | 0.425 | 0.983 |
Ectopic fat | ||||
Liver fat (%) | 3.6 (1.2–9.5) | 1.5 (1.1–2.1) | 0.077 | 0.065 |
TA IMCL | 148 (90–274) | 119 (42–143) | 0.070 | 0.206 |
Sol IMCL | 711 (507–1080) | 925 (506–1600) | 0.485 | 0.792 |
TA fat content (%) | 6.7 (5.5–9.1) | 9.4 (7.1–14.2) | 0.028 | 0.083 |
Sol fat content (%) | 10.8 (9.7–14.7) | 15.5 (13.4–18.9) | 0.003 | 0.074 |
Basal clamp | ||||
Fasting glucose (mmol/l) | 5.1±0.2 | 5.1±0.4 | 0.591 | 0.903 |
Fasting insulin (pmol/l) | 64.4±5.4 | 90.7±39.1 | 0.028 | 0.188 |
EGP (mg min–1 [kg FFM]–1) | 2.6 (2.0–3.8) | 2.7 (1.8–2.9) | 0.335 | 0.497 |
Fasting RER | 0.73±0.04 | 0.77±0.07 | 0.076 | 0.084 |
Fasting RMR (kJ [kg FFM]–1 day–1) | 134 (128–145) | 132 (126–152) | 0.702 | 0.767 |
Low-dose clamp | ||||
Glucose-low (mmol/l) | 4.6±0.3 | 4.6±0.3 | 0.671 | 0.716 |
Insulin-low (pmol/l) | 134.1±42.6 | 158.4±35.2 | 0.100 | 0.237 |
EGP-low (mg min–1 [kg FFM]–1) | 1.9 (1.6–2.7) | 0.8 (0–1.8) | 0.006 | 0.002 |
Suppression of EGP (%) | 17 (5–51) | 56 (29–100) | 0.006 | 0.002 |
M-low (mg min–1 [kg FFM]–1) | 0.75 (0.39–1.98) | 1.19 (0.33–3.73) | 0.757 | 0.187 |
M/I-low (mg min–1 [kg FFM]–1 mmol/l–1) | 0.31 (0.15–0.80) | 0.39 (0.09–0.91) | 0.871 | 0.320 |
Rd-low (mg min–1 [kg FFM]–1) | 3.0(2.4–4.1) | 2.5 (2.0–3.7) | 0.178 | 0.418 |
RER-low | 0.75±0.06 | 0.77±0.06 | 0.317 | 0.218 |
RMR-low (kJ [kg FFM]–1 day–1) | 136 (129–142) | 137 (129–145) | 0.791 | 0.712 |
High-dose clamp | ||||
Glucose-high (mmol/l) | 4.4±0.4 | 4.6±0.3 | 0.300 | 0.376 |
Insulin-high (pmol/l) | 513.0±88.5 | 589.0±133.4 | 0.077 | 0.149 |
M-high (mg min–1 [kg FFM]–1) | 9.3 (5.7–12.2) | 8.5 (4.8–12.2) | 0.962 | 0.631 |
M/I-high (mg min–1 [kg FFM]–1 mmol/l–1) | 0.82 (0.70–1.36) | 0.76 (0.58–0.93) | 0.462 | 0.898 |
RER-high | 0.83±0.06 | 0.85±0.08 | 0.573 | 0.457 |
RMR-high (kJ [kg FFM]–1 day–1) | 139 (133–153) | 137 (130–156) | 0.964 | 0.731 |
For non-normally distributed data, values are median (IQR), with p values for log10-transformed data. For normally distributed data, values are means±SD
EGP, calculated as the rate of appearance of glucose minus the glucose infusion rate; High-dose clamp, high-dose (40 mU m–2 min–1) insulin infusion; Low-dose clamp, low-dose (10 mU/m–2 min–1) insulin infusion; M, glucose infusion rate, which reflects whole-body insulin sensitivity; RMR, resting metabolic rate; Sol, soleus; Suppression of EGP, calculated as the % change in EGP between baseline and the low-dose insulin infusion
Liver fat tended to be higher in white than black women. Calf TA and soleus IMCL content were similar, but total soleus fat content was higher in black than white women. Skeletal muscle expression of genes involved in insulin signalling, glucose transport and fat oxidation did not differ between black and white women (ESM Table 1), nor did they correlate with any measure of skeletal muscle fat content.
Fasting glucose, insulin and NEFA concentrations did not differ by ethnicity. More white than black women had impaired fasting glucose (IFG; 26.7 vs 6.7 p=0.142) and impaired glucose tolerance (IGT; 26.7 vs 0%, p=0.031). While basal endogenous glucose production (EGP) was not different, white women had higher EGP and less EGP suppression than black women during the low-dose clamp. Only one white woman had incomplete suppression of EGP during the high-dose clamp. SI and RER during the low-dose and high-dose clamps were similar between white and black women.
Correlates of insulin sensitivity
In black women, body fat measures correlated negatively with hepatic and peripheral SI, whereas in white women, only VAT correlated with M/I-high (Table 2). In black women only, liver fat correlated negatively with suppression of EGP, soleus fat correlated negatively with glucose infusion adjusting for circulating insulin concentrations (M/I)-low, and skeletal muscle IRS1, vesicle associated membrane protein (VAMP) and stearoyl-CoA desaturase 1 (SCD1) expression correlated positively with rate of disposal (Rd)-low and M/I-high. In both black and white women, serum adiponectin correlated positively with peripheral SI.
Table 2.
Variable | % Suppression of EGP |
Rd-low |
M/I-low |
M/I-high |
||||
---|---|---|---|---|---|---|---|---|
White | Black | White | Black | White | Black | White | Black | |
Body composition | ||||||||
Body fat (kg) | 0.08 | –0.64* | –0.09 | –0.34 | 0.01 | –0.64* | 0.12 | –0.60* |
Waist | 0.09 | –0.65** | –0.18 | –0.73** | –0.25 | –0.67** | –0.44 | –0.73* |
VAT | –0.04 | –0.52* | –0.20 | –0.35 | –0.34 | –0.62* | –0.62* | –0.30 |
SAT | 0.19 | –0.54* | –0.21 | –0.26 | 0.13 | –0.45 | 0.17 | –0.50* |
Ectopic fat | ||||||||
Liver fat | 0.28 | –0.57* | –0.44 | –0.41 | –0.45 | –0.34 | –0.53 | –0.21 |
Soleus IMCL | 0.59* | –0.46 | –0.16 | –0.52 | 0.12 | –0.62* | –0.08 | –0.46 |
Soleus fat (%) | 0.34 | –0.56* | –0.04 | –0.40 | 0.27 | –0.66* | 0.09 | –0.33 |
Muscle gene expression | ||||||||
IRS | –0.32 | 0.49 | 0.04 | 0.65* | –0.15 | 0.56* | –0.37 | 0.66* |
VAMP | –0.37 | 0.43 | –0.07 | 0.68** | –0.18 | 0.52 | –0.49 | 0.64* |
SCD1 | –0.33 | 0.49 | –0.03 | 0.90** | –0.23 | 0.53 | –0.29 | 0.72** |
Circulating adipokines | ||||||||
Adiponectin | 0.41 | 0.49 | 0.47 | 0.77** | 0.64** | 0.56* | 0.75** | 0.71** |
Values are Pearson correlation coefficients
p<0.05
p<0.01
M/I-high, M/I corrected for circulating insulin levels during the high-dose (40 mU m–2 min–1) clamp; M/I-low, M/I corrected for circulating insulin levels during the low-dose clamp; Rd-low, Rd during the low-dose (10 mU m–2 min–1 )clamp
Discussion
The major findings of our study were that obese white women had reduced hepatic SI compared with obese black women, whereas peripheral SI did not differ. Significant associations between ectopic fat accumulation and SI were observed in obese black, but not white women, suggesting that obese black women are more sensitive to the effects of ectopic lipid deposition than obese white women.
Until recently, studies demonstrating ethnic differences in SI between black and white women [1, 2] have only measured whole-body SI. DeLany et al [6] recently showed similar levels of hepatic SI, but lower peripheral SI in young (22–24 years) normal-weight black vs white women. In contrast, in older obese women, we found that peripheral SI did not differ, but white women had lower hepatic SI than black women. Studies in the USA have consistently reported higher liver fat of white compared with black women [7], which is supported in part by our study. However, liver fat was associated with reduced hepatic and whole-body SI in black, but not white women. This indication of increased sensitivity to ectopic lipid deposition confirms data in African-Americans showing that for a given level of liver fat, black women were more insulin resistant than white women [7].
Although there were no ethnic differences in IMCL or EMCL content, IMCL was associated with lower SI during the low-dose clamp in black, but not white women. Studies from the USA that have shown similar [4] or lower [8] IMCL levels in black than white women, but have demonstrated associations with SI in white women only [4, 8]. Differences between our study and others may relate to differences in methods used to measure SI, or to differences in the accumulation of lipid byproducts. Supporting the latter, we showed that in black women only, SI was associated with skeletal muscle SCD1 expression. SCD1 converts saturated fatty acids to monounsaturated fatty acids and increases triacylglycerol esterification, thereby attenuating the accumulation of lipid metabolites such as diacylglycerol and ceramide, which interfere with insulin signalling [9]. Despite no ethnic differences in the skeletal muscle expression of insulin signalling genes, we showed that IRS1 and VAMP expression were associated with increased SI in black, but not white women. IRS1 is integral to insulin signalling, while VAMP is involved in insulin-stimulated GLUT4 translocation, and is upregulated in hyperinsulinaemia [10].
We used the state-of-the-art measures of SI and ectopic fat deposition, which have not been performed previously in an obese black African population. NEFAs were not measured during the clamp, precluding measurement of adipose tissue SI; however, fasting and OGTT NEFA concentrations were not different between ethnicities (ESM Fig. 1). While the white women had a greater family history of type 2 diabetes and a higher prevalence of IFG and IGT, adjusting for these differences, or analysis of only women with normal glucose tolerance did not alter the main findings of this study. The paradox of higher hepatic SI but similar EGP in black compared with white SA women may be explained by lower hepatic insulin clearance in obese, insulin resistant black women [11]. Future studies that also include measures of C-peptide are required. Other limitations include self-reported alcohol in-take and failure to control for the phase of the menstrual cycle, which may have confounded our results. Further, we only included obese women; therefore these results cannot be extrapolated to non-obese women, or to men.
In conclusion, we found that although whole-body SI was not different between obese black and white women, obese white women presented with lower hepatic SI compared with obese black women. Notably, ectopic fat accumulation was associated with reduced SI in black, but not white women. Future studies are required to gain an understanding of why black women are more sensitive to the effects of ectopic fat deposition than white women.
Supplementary Material
Acknowledgements
The authors wish to thank the research volunteers for their participation in this study. J. Bergman of Symington Radiology and E. Meintjes of the MRC/UCT Medical Imaging Research Unit, Department of Human Biology, University of Cape Town, Cape Town, South Africa are thanked for their assistance with the MRS scans. L. Bewerunge is thanked for performing the DXA scans. We would like to thank I. Söderström of Umeå University, Umeå, Sweden for performing the serum analyses, L. Mokwena of Stellenbosch University, Stellen-bosch, South Africa for performing the GCMS analyses, and K. Yarasheski of Washington University School of Medicine, St Louis, MO, USA for assistance with GCMS analysis and interpretation.
Funding This study was funded by the National Research Foundation of South Africa (Grant no. 73707), the United States Department of Veterans Affairs, the Swedish Research Council (K2011-12237-15-6), the Swedish Heart and Lung Foundation and Umeå University, Sweden.
Abbreviations
- % supp EGP %
Suppression of endogenous glucose production
- DXA
Dual energy x-ray absorptiometry
- EGP
Endogenous glucose production
- EMCL
Extra-myocellular lipid
- FFM
Fat-free mass
- FMI
Fat mass index
- hs-CRP
High sensitivity C-reactive protein
- IFG
Impaired fasting glucose
- IGT
Impaired glucose tolerance
- IMCL
Intra-myocellular lipid
- M/I
Glucose infusion adjusting for circulating insulin concentrations
- MRS
1H-magnetic resonance spectroscopy
- Rd
Rate of disposal
- RER
Respiratory exchange ratio
- SAT
Subcutaneous adipose tissue
- SCD1
Stearoyl-CoA desaturase 1
- SI
Insulin sensitivity
- TA
Tibialis anterior
- VAMP
Vesicle associated membrane protein
- VAT
Visceral adipose tissue
Footnotes
Contribution statement JHG, CW, KU, SEK and TO contributed to the conception and design of the work; JHG, DK, CW, JF, JH, HV, KU, EVL and TO contributed to the acquisition and analysis of the data; JHG, DK, JH, KU, NSL, SEK and TO contributed to the interpretation of the data; JG, DK, and TO contributed to drafting the article; all authors revised the manuscript critically for important intellectual content and approved the final version to be published. JHG is the guarantor of this work.
Electronic supplementary material The online version of this article (doi:10.1007/s00125-015-3720-7) contains peer-reviewed but unedited supplementary material, which is available to authorised users.
Duality of interest The authors declare that there is no duality of interest associated with this manuscript.
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