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      A double-blind, placebo-controlled, randomised trial to assess the effect of liraglutide on ectopic fat accumulation in South Asian type 2 diabetes patients

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          Abstract

          Background

          South Asians have a high risk to develop type 2 diabetes, which may be related to substantial ectopic fat deposition. Since glucagon-like peptide-1 analogues can reduce ectopic fat accumulation, the aim of the present study was to assess the effect of treatment with liraglutide for 26 weeks on ectopic fat deposition and HbA1c in South Asian patients with type 2 diabetes.

          Methods

          In a placebo-controlled trial, 47 South Asian patients with type 2 diabetes were randomly assigned to treatment with liraglutide (1.8 mg/day) or placebo added to standard care. At baseline and after 26 weeks of treatment we assessed abdominal subcutaneous, visceral, epicardial and paracardial adipose tissue volume using MRI. Furthermore, myocardial and hepatic triglyceride content were examined with proton magnetic resonance spectroscopy.

          Results

          In the intention-to-treat analysis, liraglutide decreased body weight compared to placebo (− 3.9 ± 3.6 kg vs − 0.6 ± 2.2 kg; mean change from baseline (liraglutide vs placebo): − 3.5 kg; 95% CI [− 5.3, − 1.8]) without significant effects on the different adipose tissue compartments. HbA1c was decreased in both groups without between group differences. In the per-protocol analysis, liraglutide did decrease visceral adipose tissue volume compared to placebo (− 23 ± 27 cm 2 vs − 2 ± 17 cm 2; mean change from baseline (liraglutide vs placebo): − 17 cm 2; 95% CI [− 32, − 3]). Furthermore, HbA1c was decreased by liraglutide compared to placebo (− 1.0 ± 0.8% (− 10.5 ± 9.1 mmol/mol)) vs (− 0.6 ± 0.8% (− 6.1 ± 8.8 mmol/mol)), with a between group difference (mean change from baseline (liraglutide vs placebo): − 0.6% (− 6.5 mmol/mol); 95% CI [− 1.1, − 0.1 (− 11.5, − 1.5)]). Interestingly, the decrease of visceral adipose tissue volume was associated with the reduction of HbA1c (β: 0.165 mmol/mol (0.015%) per 1 cm 2 decrease of visceral adipose tissue volume; 95% CI [0.062, 0.267 (0.006, 0.024%)]).

          Conclusions

          While the intention-to-treat analysis did not show effects of liraglutide on ectopic fat and HbA1c, per-protocol analysis showed that liraglutide decreases visceral adipose tissue volume, which was associated with improved glycaemic control in South Asians.

          Trial registration NCT02660047 (clinicaltrials.gov). Registered 21 January 2016

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          Most cited references36

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          Abdominal visceral and subcutaneous adipose tissue compartments: association with metabolic risk factors in the Framingham Heart Study.

          Visceral adipose tissue (VAT) compartments may confer increased metabolic risk. The incremental utility of measuring both visceral and subcutaneous abdominal adipose tissue (SAT) in association with metabolic risk factors and underlying heritability has not been well described in a population-based setting. Participants (n=3001) were drawn from the Framingham Heart Study (48% women; mean age, 50 years), were free of clinical cardiovascular disease, and underwent multidetector computed tomography assessment of SAT and VAT volumes between 2002 and 2005. Metabolic risk factors were examined in relation to increments of SAT and VAT after multivariable adjustment. Heritability was calculated using variance-components analysis. Among both women and men, SAT and VAT were significantly associated with blood pressure, fasting plasma glucose, triglycerides, and high-density lipoprotein cholesterol and with increased odds of hypertension, impaired fasting glucose, diabetes mellitus, and metabolic syndrome (P range < 0.01). In women, relations between VAT and risk factors were consistently stronger than in men. However, VAT was more strongly correlated with most metabolic risk factors than was SAT. For example, among women and men, both SAT and VAT were associated with increased odds of metabolic syndrome. In women, the odds ratio (OR) of metabolic syndrome per 1-standard deviation increase in VAT (OR, 4.7) was stronger than that for SAT (OR, 3.0; P for difference between SAT and VAT < 0.0001); similar differences were noted for men (OR for VAT, 4.2; OR for SAT, 2.5). Furthermore, VAT but not SAT contributed significantly to risk factor variation after adjustment for body mass index and waist circumference (P < or = 0.01). Among overweight and obese individuals, the prevalence of hypertension, impaired fasting glucose, and metabolic syndrome increased linearly and significantly across increasing VAT quartiles. Heritability values for SAT and VAT were 57% and 36%, respectively. Although both SAT and VAT are correlated with metabolic risk factors, VAT remains more strongly associated with an adverse metabolic risk profile even after accounting for standard anthropometric indexes. Our findings are consistent with the hypothesized role of visceral fat as a unique, pathogenic fat depot. Measurement of VAT may provide a more complete understanding of metabolic risk associated with variation in fat distribution.
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            Fat accumulation in the liver is associated with defects in insulin suppression of glucose production and serum free fatty acids independent of obesity in normal men.

            We determined whether interindividual variation in hepatic insulin sensitivity could be attributed to variation in liver fat content (LFAT) independent of obesity. We recruited 30 healthy nondiabetic men whose LFAT (determined by proton spectroscopy); intraabdominal, sc, and total (determined by magnetic resonance imaging) fat; and insulin sensitivity of endogenous glucose rate of production (R(a)) and suppression of serum FFA [euglycemic insulin clamp combined with [3-(3)H]glucose (0-300 min); insulin infusion rate, 0.3 mU/kg.min, 120-300 min] were measured. The men were divided into groups of low (mean +/- SD, 1.7 +/- 0.2%) and high (10.5 +/- 2.0%) LFAT based on their median fat content. The low and high LFAT groups were comparable with respect to age (44 +/- 2 vs. 42 +/- 2 yr), body mass index (25 +/- 1 vs. 26 +/- 1 kg/m(2) ), waist to hip ratio (0.953 +/- 0.013 vs. 0.953 +/- 0.013), maximal oxygen uptake (35.6 +/- 1.5 vs. 33.5 +/- 1.5 ml/kg.min), and intraabdominal, sc, and total fat. The high compared with the low LFAT group had several features of insulin resistance, including fasting hyperinsulinemia (7.3 +/- 0.6 vs. 5.3 +/- 0.6 mU/liter; P < 0.02, high vs. low LFAT) hypertriglyceridemia (1.4 +/- 0.2 vs. 0.9 +/- 0.1 mmol/liter; P < 0.02), a low high density lipoprotein (HDL) cholesterol concentration (1.4 +/- 0.1 vs. 1.6 +/- 0.1 mmol/liter; P < 0.05), and a higher ambulatory 24-h systolic blood pressure (130 +/- 3 vs. 122 +/- 3 mm Hg; P < 0.05). Basal glucose R(a) and serum FFA were comparable between the groups, whereas insulin suppression of glucose R(a) [51 +/- 8 vs. 20 +/- 12 mg/m(2).min during 240-300 min (P < 0.05) or -55 +/- 7 vs. -85 +/- 12% below basal (P < 0.05, high vs. low LFAT)] and of serum FFA (299 +/- 33 vs. 212 +/- 13 micromol/liter; 240-300 min; P < 0.02) were impaired in the high compared with the low LFAT group. Insulin stimulation of glucose Rd were comparable in the men with high LFAT (141 +/- 12 mg/m(2).min) and those with low LFAT (156 +/- 14 mg/m(2).min; P = NS). Fat accumulation in the liver is, independent of body mass index and intraabdominal and overall obesity, characterized by several features of insulin resistance in normal weight and moderately overweight subjects.
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              Defining obesity cut points in a multiethnic population.

              Body mass index (BMI) is widely used to assess risk for cardiovascular disease and type 2 diabetes. Cut points for the classification of obesity (BMI >30 kg/m2) have been developed and validated among people of European descent. It is unknown whether these cut points are appropriate for non-European populations. We assessed the metabolic risk associated with BMI among South Asians, Chinese, Aboriginals, and Europeans. We randomly sampled 1078 subjects from 4 ethnic groups (289 South Asians, 281 Chinese, 207 Aboriginals, and 301 Europeans) from 4 regions in Canada. Principal components factor analysis was used to derive underlying latent or "hidden" factors associated with 14 clinical and biochemical cardiometabolic markers. Ethnic-specific BMI cut points were derived for 3 cardiometabolic factors. Three primary latent factors emerged that accounted for 56% of the variation in markers of glucose metabolism, lipid metabolism, and blood pressure. For a given BMI, elevated levels of glucose- and lipid-related factors were more likely to be present in South Asians, Chinese, and Aboriginals compared with Europeans, and elevated levels of the blood pressure-related factor were more likely to be present among Chinese compared with Europeans. The cut point to define obesity, as defined by distribution of glucose and lipid factors, is lower by approximately 6 kg/m2 among non-European groups compared with Europeans. Revisions may be warranted for BMI cut points to define obesity among South Asians, Chinese, and Aboriginals. Using these revised cut points would greatly increase the estimated burden of obesity-related metabolic disorders among non-European populations.
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                Author and article information

                Contributors
                +31-71-5298335 , H.J.van_Eyk@lumc.nl
                Journal
                Cardiovasc Diabetol
                Cardiovasc Diabetol
                Cardiovascular Diabetology
                BioMed Central (London )
                1475-2840
                9 July 2019
                9 July 2019
                2019
                : 18
                : 87
                Affiliations
                [1 ]ISNI 0000000089452978, GRID grid.10419.3d, Dept. Medicine, Div. Endocrinology, , Leiden University Medical Center (LUMC), ; Post Zone C7Q, P.O. Box 9600, 2300 RC Leiden, The Netherlands
                [2 ]ISNI 0000000089452978, GRID grid.10419.3d, Einthoven Laboratory for Experimental Vascular Medicine, , LUMC, ; Leiden, The Netherlands
                [3 ]ISNI 0000000089452978, GRID grid.10419.3d, Dept. Radiology, , LUMC, ; Leiden, The Netherlands
                [4 ]Dept. Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands
                [5 ]ISNI 0000 0004 0395 6796, GRID grid.414842.f, Dept. Medicine, , Haaglanden Medical Center, ; The Hague, The Netherlands
                [6 ]ISNI 0000 0004 0626 3362, GRID grid.411326.3, Dept. Diabetology and Endocrinology, , University Hospital Brussels, ; Brussels, Belgium
                [7 ]ISNI 0000 0004 0444 9382, GRID grid.10417.33, Dept. Medicine, , Radboud University Medical Center, ; Nijmegen, The Netherlands
                Author information
                http://orcid.org/0000-0002-1302-4189
                Article
                890
                10.1186/s12933-019-0890-5
                6615254
                31288820
                f2295731-0957-4590-9046-7be485bfe6a9
                © The Author(s) 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 10 April 2019
                : 23 June 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004191, Novo Nordisk;
                Categories
                Original Investigation
                Custom metadata
                © The Author(s) 2019

                Endocrinology & Diabetes
                south asian,diabetes mellitus type 2,ectopic fat,glp-1 analogue,liraglutide,randomised clinical trial,magnetic resonance imaging,magnetic resonance spectroscopy

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