CB(1) blockade-induced weight loss over 48 weeks decreases liver fat in proportion to weight loss in humans.

OBJECTIVE: Studies in mice have suggested that endocannabinoid blockade using the cannabinoid receptor type 1 (CB1) blocker rimonabant prevents obesity-induced hepatic steatosis. DESIGN AND SUBJECTS: To determine effects of rimonabant on liver fat in humans, we measured liver fat content by proton magnetic resonance spectroscopy in 37 subjects who used either a CB1 blocker rimonabant or placebo in a double-blind, randomized manner. This was retrospectively compared with a historical hypocaloric diet weight loss group (n=23). RESULTS: Weight loss averaged 8.5±1.4 kg in the rimonabant, 1.7±1.0 kg in the placebo and 7.5±0.2 kg in the hypocaloric diet group (P<0.001, rimonabant vs placebo; NS, rimonabant vs hypocaloric diet). Liver fat decreased more in the rimonabant (5.9% (2.5-14.6%) vs 1.8% (0.9-3.5%), before vs after) than in the placebo group (6.8% (2.2-15.7%) vs 4.9% (1.6-7.8%), before vs after, P<0.05). The percentage change in body weight correlated closely with the percentage loss of liver fat (r=0.70, P>0.0001). The decreases in liver fat were comparable between the rimonabant and the young historical hypocaloric diet groups. CONCLUSIONS: We conclude that, unlike in mice, in humans rimonabant decreases liver fat in proportion to weight loss.

Nateglinide combination therapy with basal insulin and metformin in patients with Type 2 diabetes.

AIMS: To compare the effect of adding nateglinide or placebo on postprandial glucose excursions (PPGEs), glycated haemoglobin (HbA(1c)), diurnal glucose profiles and hypoglycaemia in patients with Type 2 diabetes treated with the combination of basal insulin and metformin. RESEARCH DESIGN AND METHODS: This was an investigator-initiated, double-blind, randomized, parallel-group, study in five centres. Patients with Type 2 diabetes (n = 88, age 56.0 +/- 0.9 years, duration of diabetes 9.4 +/- 0.5 years, HbA(1c) 7.8 +/- 0.1%, body mass index 32.4 +/- 0.5 kg/m(2)) treated with basal insulin and metformin entered a 24-week period, during which basal insulin was titrated to optimize glucose control. Thereafter, the patients were randomized to receive either nateglinide (120 mg three times daily) or placebo before their main meals for 24 weeks. RESULTS: During the optimization period, HbA(1c) decreased by -0.3 +/- 0.1 and -0.4 +/- 0.2% (NS) and insulin doses increased by 10.0 IU (2.0-32.0) [0.09 IU/kg (0.02-0.34)] and 10.0 IU (0.0-19.0) [0.11 IU/kg (0.0-0.25)] (NS) in the nateglinide and placebo groups. Mean postprandial glucose during weeks 20-24 averaged 9.0 +/- 0.3 and 10.0 +/- 0.3 mmol/l in the nateglinide and placebo groups (P = 0.025) and mean PPGE averaged 2.4 +/- 0.2 and 3.1 +/- 0.2 mmol/l, respectively (P = 0.019). At 24 weeks as compared with 0 weeks, mean HbA(1c) had decreased by 0.41 +/- 0.12% in the nateglinide group and by 0.04 +/- 0.12% in the placebo group (P = 0.023). The frequency of confirmed, symptomatic hypoglycaemia was 7.7 episodes/patient-year vs. 4.7 episodes/patient-year in the nateglinide and placebo groups (P = 0.031). CONCLUSIONS: Addition of a short-acting insulin secretagogue at main meals improves postprandial hyperglycaemia during combination therapy with basal insulin and metformin, but increases the frequency of hypolycaemia.

Serum saturated fatty acids containing triacylglycerols are better markers of insulin resistance than total serum triacylglycerol concentrations.

AIMS/HYPOTHESIS: The weak relationship between insulin resistance and total serum triacylglycerols (TGs) could be in part due to heterogeneity of TG molecules and their distribution within different lipoproteins. We determined concentrations of individual TGs and the fatty acid composition of serum and major lipoprotein particles and analysed how changes in different TGs and fatty acid composition are related to features of insulin resistance and abdominal obesity. METHODS: We performed lipidomic analyses of all major lipoprotein fractions using two analytical platforms in 16 individuals, who exhibited a broad range of insulin sensitivity. RESULTS: We identified 45 different TGs in serum. Serum TGs containing saturated and monounsaturated fatty acids were positively, while TGs containing essential linoleic acid (18:2 n-6) were negatively correlated with HOMA-IR. Specific serum TGs that correlated positively with HOMA-IR were also significantly positively related to HOMA-IR when measured in very-low-density lipoproteins (VLDLs), intermediate-density lipoproteins (IDLs) and LDL, but not in HDL subfraction 2 (HDL(2)) or 3 (HDL(3)). Analyses of proportions of esterified fatty acids within lipoproteins revealed that palmitic acid (16:0) was positively related to HOMA-IR when measured in VLDL, IDL and LDL, but not in HDL(2) or HDL(3). Monounsaturated palmitoleic (16:1 n-7) and oleic (18:1 n-9) acids were positively related to HOMA-IR when measured in HDL(2) and HDL(3), but not in VLDL, IDL or LDL. Linoleic acid was negatively related to HOMA-IR in all lipoproteins. CONCLUSIONS/INTERPRETATION: Serum concentrations of specific TGs, such as TG(16:0/16:0/18:1) or TG(16:0/18:1/18:0), may be more precise markers of insulin resistance than total serum TG concentrations.

A common variant in PNPLA3, which encodes adiponutrin, is associated with liver fat content in humans.

AIMS/HYPOTHESIS: It has recently been suggested that the rs738409 G allele in PNPLA3, which encodes adiponutrin, is strongly associated with increased liver fat content in three different ethnic groups. The aims of the present study were as follows: (1) to try to replicate these findings in European individuals with quantitative measures of hepatic fat content; (2) to study whether the polymorphism influences hepatic and adipose tissue insulin sensitivity; and (3) to investigate whether PNPLA3 expression is altered in the human fatty liver. METHODS: We genotyped 291 Finnish individuals in whom liver fat had been measured using proton magnetic resonance spectroscopy. Hepatic PNPLA3 expression was measured in 32 participants. Hepatic and adipose tissue insulin sensitivities were measured using a euglycaemic-hyperinsulinaemic (insulin infusion 0.3 mU kg(-1) min(-1)) clamp technique combined with infusion of [3-(3)H]glucose in 109 participants. RESULTS: The rs738409 G allele in PNPLA3 was associated with increased quantitative measures of liver fat content (p = 0.011) and serum aspartate aminotransferase concentrations (p = 0.002) independently of age, sex and BMI. Fasting serum insulin and hepatic and adipose tissue insulin sensitivity were related to liver fat content independently of genotype status. PNPLA3 mRNA expression in the liver was positively related to obesity (r = 0.62, p < 0.0001) and to liver fat content (r = 0.58, p = 0.025) in participants who were not morbidly obese (BMI < 40 kg/m(2)). CONCLUSIONS/INTERPRETATION: A common variant in PNPLA3 increases the risk of hepatic steatosis in humans.

Tissue specificity of insulin resistance in humans: fat in the liver rather than muscle is associated with features of the metabolic syndrome.

AIMS/HYPOTHESIS: The aim of this study was to investigate whether intrahepatic and intramyocellular fat are related to insulin resistance in these respective tissues or to the metabolic syndrome. METHODS: Hepatic (insulin 1.8 pmol kg(-1) min(-1) combined with [3-3H]glucose) and muscle (insulin 6.0 pmol kg(-1) min(-1)) insulin sensitivity were measured on separate occasions in 45 non-diabetic men (age 42 +/- 1 years, BMI 26.2 +/- 0.6 kg/m2) using the euglycaemic-hyperinsulinaemic clamp. Liver fat and intramyocellular lipid (IMCL) were measured by proton magnetic resonance spectroscopy and body composition by magnetic resonance imaging. We also determined fasting serum insulin and adiponectin concentrations, components of the metabolic syndrome and maximal oxygen consumption. RESULTS: In participants with high [median 12.0% (interquartile range 5.7-18.5%)] vs low [2.0% (1.0-2.0%)] liver fat, fasting serum triacylglycerols (1.6 +/- 0.2 vs 1.0 +/- 0.1 mmol/l, p = 0.002) and fasting serum insulin (55 +/- 4 vs 32 +/- 2 pmol/l, p < 0.0001) were increased and serum HDL-cholesterol (1.26 +/- 0.1 vs 1.48 +/- 0.1 mmol/l, p = 0.02) and fasting serum adiponectin (9.5 +/- 1.2 vs 12.2 +/- 1.2 microg/ml, p = 0.05) decreased. In participants with high [19.5% (16.0-26.0%)] vs low [5.0% (2.3-7.5%)] IMCL, these parameters were comparable. Liver fat was higher in participants with [10.5% (3.0-18.0%)] than in those without [2.0% (1.5-6.0%), p = 0.010] the metabolic syndrome, even independently of obesity, while IMCL was comparable. Insulin suppression of glucose rate of appearance and serum NEFA was significantly impaired in the high liver fat group. CONCLUSIONS/INTERPRETATION: Fat accumulation in the liver rather than in skeletal muscle is associated with features of the metabolic syndrome, i.e. increased fasting serum triacylglycerols and decreased fasting serum HDL-cholesterol, as well as with hyperinsulinaemia and low adiponectin.