Effect of wine on carotid atherosclerosis in type 2 diabetes: a 2-year randomized controlled trial.

BACKGROUND/OBJECTIVES: The progression of carotid-plaque volume in patients with type 2 diabetes is common. Previous observational studies showed an association between moderate alcohol and reduced risk of coronary disease. We examined whether consuming moderate wine affects the progression of carotid atherosclerosis. SUBJECTS/METHODS: In the CASCADE (CArdiovaSCulAr Diabetes and Ethanol), a 2-year randomized controlled trial, we randomized abstainers with type 2 diabetes were to drink 150 ml of either red wine, white wine, or water, provided for 2 years. In addition, groups were guided to maintain a Mediterranean diet. We followed 2-year changes in carotid total plaque volume (carotid-TPV) and carotid vessel wall volume (carotid-VWV), using three-dimensional ultrasound. RESULTS: Carotid images were available from 174 of the 224 CASCADE participants (67% men; age = 59 yr; HbA1C = 6.8%). Forty-five percent had detectable plaque at baseline. After 2 years, no significant progression in carotid-TPV was observed (water, -1.4 (17.0) mm3, CI (-2.7, 5.5), white-wine, -1.2 (16.9) mm3, CI (-3.8, 6.2), red wine, -1.3 (17.6) mm3, CI (-3.4, 6.0; p = 0.9 between groups)). In post hoc analysis, we divided the 78 participants with detectable baseline carotid plaque into tertiles. Those with the higher baseline plaque burden, whom were assigned to drink wine, reduced their plaque volume significantly after 2 years, as compared to baseline. Two-year reductions in Apo(B)/Apo(A) ratio(s) were independently associated with regression in carotid-TPV (ß = 0.4; p < 0.001). Two-year decreases in systolic blood pressure were independently associated with regression in carotid-VWV (ß = 0.2; p = 0.005). CONCLUSIONS: No progression in carotid-TPV was observed. In subgroup analyses, those with the greatest plaque burden assigned to drink wine may have had a small regression of plaque burden.

Abdominal fat sub-depots and energy expenditure: Magnetic resonance imaging study.

BACKGROUND & AIMS: We aimed to assess the association between the distinct abdominal sub-depots and resting energy expenditure (REE). METHODS: We performed magnetic resonance imaging (MRI) to quantify abdominal visceral-adipose-tissue (VAT), deep-subcutaneous-adipose-tissue (deep-SAT), and superficial-subcutaneous-adipose-tissue (superficial-SAT). We measured REE by indirect-calorimetry. Non-exercise activity thermogenesis (NEAT) [1-3 metabolic equivalents (METs)] and exercise thermogenesis (activities of 4+METS) were estimated based on 6-days of accelerometry to assess total physical activity energy expenditure (PAEE). RESULTS: We studied 282 participants: 249 men [mean age = 47.4 years, body-mass-index (BMI) = 31 kg/m2, mean VAT proportion from total abdominal fat = 34.5%, mean superficial-SAT proportion from total abdominal fat = 24.3%] and 33 women (mean age = 51.2 years, BMI = 30.1 kg/m2, mean VAT proportion from total abdominal fat = 22.8%, mean superficial-SAT proportion from total abdominal fat = 37.8%). As expected, women had lower REE [by 32.4% (1488 ± 234 kcal/day vs. 1971 ± 257 kcal/day; p < 0.01)] and lower REE/kg [by 8% (19.6 ± 3 kcal/kg vs. 21.2 ± 2 kcal/kg; p < 0.01)] than men. Exercise and total PAEE were positively associated with REE/kg (p < 0.01 for both) and a positive correlation between NEAT and REE/kg was borderline (p = 0.056). Participants, in whom abdominal VAT was the dominant proportional depot, had higher REE (1964 ± 297 kcal/day vs. 1654 ± 352 kcal/day; p < 0.01) and higher REE∖kg (22.2 ± 2.3 kcal/kg/day vs. 19.6 ± 2.5 kcal/kg/day; p < 0.01) than participants in whom superficial-SAT was the largest proportional depot. In multivariate models, adjusted for age, gender and residual BMI, increased VAT proportion was independently associated with higher REE (ß = 0.181; p = 0.05). Likewise, increased VAT proportion (ß = 0.482; p < 0.01) remained independently associated with higher REE/kg. In this model younger age (ß = -0.329; p < 0.01) was associated with higher REE/kg. CONCLUSIONS: Abdominal fat distribution patterns are associated with varying levels of resting energy expenditure, potentially reflecting different metabolic rates of adipose sub-depots and providing an anatomic/anthropometric link to physiological obese sub-phenotypes.

Effects of initiating moderate wine intake on abdominal adipose tissue in adults with type 2 diabetes: a 2-year randomized controlled trial.

OBJECTIVE: To generate evidence-based conclusions about the effect of wine consumption on weight gain and abdominal fat accumulation and distribution in patients with type 2 diabetes. DESIGN: In the 2-year randomized controlled CASCADE (CArdiovaSCulAr Diabetes & Ethanol) trial, patients following a Mediterranean diet were randomly assigned to drink 150 ml of mineral water, white wine or red wine with dinner for 2 years. Visceral adiposity and abdominal fat distribution were measured in a subgroup of sixty-five participants, using abdominal MRI. SETTING: Ben-Gurion University of the Negev, Soroka-Medical Center and the Nuclear Research Center Negev, Israel. SUBJECTS: Alcohol-abstaining adults with well-controlled type 2 diabetes. RESULTS: Forty-eight participants (red wine, n 27; mineral water, n 21) who completed a second MRI measurement were included in the 2-year analysis. Similar weight losses (sd) were observed: red wine 1·3 (3·9) kg; water 1·0 (4·2) kg (P=0·8 between groups). Changes (95 % CI) in abdominal adipose-tissue distribution were similar: red wine, visceral adipose tissue (VAT) -3·0 (-8·0, 2·0) %, deep subcutaneous adipose tissue (DSAT) +5·2 (-1·1, 11·6) %, superficial subcutaneous adipose tissue (SSAT) -1·9 (-5·0, 1·2) %; water, VAT -3·2 (-8·9, 2·5) %, DSAT +2·9 (-2·8, 8·6) %, SSAT -0·15 (-3·3, 2·9) %. No changes in antidiabetic medication and no substantial changes in energy intake (+126 (sd 2889) kJ/d (+30·2 (sd 690) kcal/d), P=0·8) were recorded. A 2-year decrease in glycated Hb (ß=0·28, P=0·05) was associated with a decrease in VAT. CONCLUSIONS: Moderate wine consumption, as part of a Mediterranean diet, in persons with controlled diabetes did not promote weight gain or abdominal adiposity.

Differential Effect of Initiating Moderate Red Wine Consumption on 24-h Blood Pressure by Alcohol Dehydrogenase Genotypes: Randomized Trial in Type 2 Diabetes.

AIMS: Observational studies report inconsistent associations between moderate alcohol intake and blood pressure (BP). In a sub-study of a larger randomized controlled trial, we assessed the effect of initiating moderate red wine consumption on 24-h BP recordings and the effect of a common genetic variant of alcohol dehydrogenases (ADH) among patients with type 2 diabetes. METHODS: Fifty-four type 2 diabetes, alcohol abstainers were randomized to consume 150 ml/dinner dry red wine or mineral water. Both groups were guided to adhere to a Mediterranean diet, without caloric restriction. We measured 24-h ambulatory BP monitoring (ABPM) at baseline and after 6 months. RESULTS: Participants (age = 57 years; 85% men; mean 24-h BP = 129/77 mm Hg) had 92% 6-month retention. After 6 months of intervention, the average 24-h BP did not differ between the wine and water groups. A transient decrease in BP was observed in the red wine group at midnight (3-4 hours after wine intake: systolic BP: red wine = -10.6mm Hg vs. mineral water = +2.3 mm Hg; P = 0.031) and the following morning at 7-9 am (red wine: -6.2mm Hg vs. mineral water: +5.6mm Hg; P = 0.014). In a second post hoc sub-analysis among the red wine consumers, individuals who were homozygous for the gene encoding ADH1B*2 variant (Arg48His; rs1229984, TT, fast ethanol metabolizers), exhibited a reduction in mean 24-h systolic BP (-8.0mm Hg vs. +3.7 mm Hg; P = 0.002) and pulse pressure (-3.8 mm Hg vs. +1.2 mm Hg; P = 0.032) compared to heterozygotes and those homozygous for the ADH1B*1 variant (CC, slow metabolizers). CONCLUSIONS: Initiating moderate red wine consumption at dinner among type 2 diabetes patients does not have a discernable effect on mean 24-h BP. Yet, a modest temporal BP reduction could be documented, and a more pronounced BP-lowering effect is suggested among fast ethanol metabolizers. CLINICAL TRIALS REGISTRATION: ClinicalTrials.gov Identifier: NCT00784433.

Higher visceral adiposity is associated with an enhanced early thermogenic response to carbohydrate-rich food.

BACKGROUND: Studies examining the dynamics of the thermic effect of feeding (TEF) of specific food items and the relationship of TEF to visceral adiposity are limited. METHODS: We measured resting energy expenditure (REE) and early-TEF (40-min postprandial, e-TEF) after 8-h fast by indirect calorimetry in 40 obese men, and imaged abdominal fat tissues by magnetic resonance imaging. Each participant was examined on two occasions, 3-weeks apart. At each examination we measured fasting REE and then postprandial REE following the isocaloric [∼380 kcal] consumption of either 56 gr walnuts [(8% carbohydrates; 84% fat, of which 72% polyunsaturated fat)], or 5-slices (150gr) of whole-grain bread (48% carbohydrates; 32% fat). e-TEF was calculated as the area under the curve between the fasting and postprandial tests. RESULTS: Participants had a mean age of 45 ± 8 years, body-mass-index (BMI) = 31.1 ± 3.8 kg/m(2), total abdominal fat area = 901.4 ± 240 cm(2), visceral fat area (VAT) = 260 ± 102.9 cm(2), fasting REE = 1854 ± 205 kcal, REE/kg = 19.39 ± 1.73 kcal/kg, and respiratory quotient (RQ, CO2 eliminated/O2 consumed) = 0.82 ± 0.04. Individuals who exhibited increased e-TEF (top ΔAUC median) to bread had higher VAT (299 cm(2) vs. 223 cm(2); p = 0.024) and higher BMI (32.4 kg/m(2) vs. 30.0 kg/m(2); p = 0.013), compared to their peers with the lower e-TEF response (ΔAUC below median). As expected, postprandial e-TEF was higher after whole-grain bread consumption [ΔAUC = +14 kcal/40min] compared to walnuts [ΔAUC = -2 kcal/40 min; p < 0.001]. CONCLUSIONS: Higher early thermic effect of high-carbohydrate food, likely reflecting digestion, early absorption and/or sympathetic tone (rather than metabolic utilization (oxidation)), associates with visceral adiposity. Future studies are required to determine if this association represents an added causality between early carbohydrate processing and visceral fat accumulation.

Effects of Initiating Moderate Alcohol Intake on Cardiometabolic Risk in Adults With Type 2 Diabetes: A 2-Year Randomized, Controlled Trial.

BACKGROUND: Recommendations for moderate alcohol consumption remain controversial, particularly in type 2 diabetes mellitus (T2DM). Long-term randomized, controlled trials (RCTs) are lacking. OBJECTIVE: To assess cardiometabolic effects of initiating moderate alcohol intake in persons with T2DM and whether the type of wine matters. DESIGN: 2-year RCT (CASCADE [CArdiovaSCulAr Diabetes & Ethanol] trial). (ClinicalTrials.gov: NCT00784433). SETTING: Ben-Gurion University of the Negev-Soroka Medical Center and Nuclear Research Center Negev, Israel. PATIENTS: Alcohol-abstaining adults with well-controlled T2DM. INTERVENTION: Patients were randomly assigned to 150 mL of mineral water, white wine, or red wine with dinner for 2 years. Wines and mineral water were provided. All groups followed a Mediterranean diet without caloric restriction. MEASUREMENTS: Primary outcomes were lipid and glycemic control profiles. Genetic measurements were done, and patients were followed for blood pressure, liver biomarkers, medication use, symptoms, and quality of life. RESULTS: Of the 224 patients who were randomly assigned, 94% had follow-up data at 1 year and 87% at 2 years. In addition to the changes in the water group (Mediterranean diet only), red wine significantly increased high-density lipoprotein cholesterol (HDL-C) level by 0.05 mmol/L (2.0 mg/dL) (95% CI, 0.04 to 0.06 mmol/L [1.6 to 2.2 mg/dL]; P < 0.001) and apolipoprotein(a)1 level by 0.03 g/L (CI, 0.01 to 0.06 g/L; P = 0.05) and decreased the total cholesterol-HDL-C ratio by 0.27 (CI, -0.52 to -0.01; P = 0.039). Only slow ethanol metabolizers (alcohol dehydrogenase alleles [ADH1B*1] carriers) significantly benefited from the effect of both wines on glycemic control (fasting plasma glucose, homeostatic model assessment of insulin resistance, and hemoglobin A1c) compared with fast ethanol metabolizers (persons homozygous for ADH1B*2). Across the 3 groups, no material differences were identified in blood pressure, adiposity, liver function, drug therapy, symptoms, or quality of life, except that sleep quality improved in both wine groups compared with the water group (P = 0.040). Overall, compared with the changes in the water group, red wine further reduced the number of components of the metabolic syndrome by 0.34 (CI, -0.68 to -0.001; P = 0.049). LIMITATION: Participants were not blinded to treatment allocation. CONCLUSION: This long-term RCT suggests that initiating moderate wine intake, especially red wine, among well-controlled diabetics as part of a healthy diet is apparently safe and modestly decreases cardiometabolic risk. The genetic interactions suggest that ethanol plays an important role in glucose metabolism, and red wine's effects also involve nonalcoholic constituents. PRIMARY FUNDING SOURCE: European Foundation for the Study of Diabetes.

Abdominal superficial subcutaneous fat: a putative distinct protective fat subdepot in type 2 diabetes.

OBJECTIVE: Unlike visceral adipose tissue (VAT), the association between subcutaneous adipose tissue (SAT) and obesity-related morbidity is controversial. In patients with type 2 diabetes, we assessed whether this variability can be explained by a putative favorable, distinct association between abdominal superficial SAT (SSAT) (absolute amount or its proportion) and cardiometabolic parameters. RESEARCH DESIGN AND METHODS: We performed abdominal magnetic resonance imaging (MRI) in 73 patients with diabetes (mean age 58 years, 83% were men) and cross-sectionally analyzed fat distribution at S1-L5, L5-L4, and L3-L2 levels. Patients completed food frequency questionnaires, and subgroups had 24-h ambulatory blood pressure monitoring and 24-h ambulatory electrocardiography. RESULTS: Women had higher %SSAT (37 vs. 23% in men; P < 0.001) despite a similar mean waist circumference. Fasting plasma glucose (P = 0.046) and HbA(1c) (P = 0.006) were both lower with increased tertile of absolute SSAT. In regression models adjusted for age, waist circumference, and classes of medical treatments used in this patient population, increased %SSAT was significantly associated with decreased HbA(1c) (ß = -0.317; P = 0.013), decreased daytime ambulatory blood pressure (ß = -0.426; P = 0.008), and increased HDL cholesterol (ß = 0.257; P = 0.042). In contrast, increased percent of deep SAT (DSAT) was associated with increased HbA(1c) (ß = 0.266; P = 0.040) and poorer heart rate variability parameters (P = 0.030). Although total fat and energy intake were not correlated with fat tissue distribution, increased intake of trans fat tended to be associated with total SAT (r = 0.228; P = 0.05) and DSAT (r = 0.20; P = 0.093), but not with SSAT. CONCLUSIONS: Abdominal SAT is composed of two subdepots that associate differently with cardiometabolic parameters. Higher absolute and relative distribution of fat in abdominal SSAT may signify beneficial cardiometabolic effects in patients with type 2 diabetes.

Effect of changes in the intake of weight of specific food groups on successful body weight loss during a multi-dietary strategy intervention trial.

BACKGROUND: Distinct weight loss dietary strategies are associated with changes in specific food groups. OBJECTIVE: To address the effect of changes in specific weight of food groups on weight loss in a 2-year low-fat, Mediterranean, low-carbohydrate intervention trial (DIRECT). METHODS: We assessed changes in the intake of 12 food groups among 322 participants (body mass index [BMI] = 31 kg/m(2); age = 52 years; 86% men), using a validated electronic food frequency questionnaire. RESULTS: The weight of the 3592.9 ± 1558 (g/d ± SD) of baseline food consumed consisted mainly of liquids, excluding water (32.6% of total weight of food); vegetables (18.8%), fruits (17.7%), dairy (9.0%), meat (7.7%), and bread/cereal/pasta/potatoes (7.1%). Participants significantly reduced food intake by 283.73 ± 1342 (g/d ± SD) at 6 months and by 963.36 ± 1869 (g/d ± SD) at 24 months (p < 0.05 as compared with baseline). Food weight changes were similar across diet groups (p = 0.366), whereas 6-month body weight loss was -4.6 ± 4.4 kg, -4.7 ± 4.9 kg, and -6.4 ± 6.6 kg for low-fat, Mediterranean, and low-carbohydrate groups, respectively; p < 0.026). In multivariate regression models, adjusted for age, sex, baseline body weight, and changes in weight intake of 12 food groups (g/d), independent dietary predictors (standardized-ß) at 6 months (rapid weight loss phase) were as follows: decreased consumption of sweets and cakes (ß = 0.493; p = 0.008) in the low-fat group, tendency toward increased crude legumes (ß = -0.196; p = 0.061) in the Mediterranean group, and increased vegetable intake (ß = -0.249; p = 0.018) in the low-carbohydrate diet group. In the entire group, in models further adjusted for diet type, leading predictors for rapid weight loss phase were as follows: increased vegetables by ~140 g/d (ß = -0.116; p = 0.045) and decreased intake of sweets and cakes by ~30 g/d (ß = 0.162; p = 0.010). Universal predictors for 2-year successful weight loss in the entire group were as follows: increased intake of vegetables (ß = -0.192; p = 0.007) and meat (ß = -0.146; p = 0.026) and decreased intake of eggs (ß = 0.187; p = 0.003), processed legumes (ß = 0.195; p = 0.002), and beverages (ß = 0.135; p = 0.032). CONCLUSIONS: Two-year weight loss is associated with a decrease of ~1 kg of total food consumed and may be achieved by a variety of changes in specific food groups within different diet strategies. Universal predictors of successful weight loss in the rapid weight loss phase across all diet strategies are increasing the weight of intake of vegetables and decreasing the weight of intake of sweets and cakes.

Weight loss with a low-carbohydrate, Mediterranean, or low-fat diet.

BACKGROUND: Trials comparing the effectiveness and safety of weight-loss diets are frequently limited by short follow-up times and high dropout rates. METHODS: In this 2-year trial, we randomly assigned 322 moderately obese subjects (mean age, 52 years; mean body-mass index [the weight in kilograms divided by the square of the height in meters], 31; male sex, 86%) to one of three diets: low-fat, restricted-calorie; Mediterranean, restricted-calorie; or low-carbohydrate, non-restricted-calorie. RESULTS: The rate of adherence to a study diet was 95.4% at 1 year and 84.6% at 2 years. The Mediterranean-diet group consumed the largest amounts of dietary fiber and had the highest ratio of monounsaturated to saturated fat (P<0.05 for all comparisons among treatment groups). The low-carbohydrate group consumed the smallest amount of carbohydrates and the largest amounts of fat, protein, and cholesterol and had the highest percentage of participants with detectable urinary ketones (P<0.05 for all comparisons among treatment groups). The mean weight loss was 2.9 kg for the low-fat group, 4.4 kg for the Mediterranean-diet group, and 4.7 kg for the low-carbohydrate group (P<0.001 for the interaction between diet group and time); among the 272 participants who completed the intervention, the mean weight losses were 3.3 kg, 4.6 kg, and 5.5 kg, respectively. The relative reduction in the ratio of total cholesterol to high-density lipoprotein cholesterol was 20% in the low-carbohydrate group and 12% in the low-fat group (P=0.01). Among the 36 subjects with diabetes, changes in fasting plasma glucose and insulin levels were more favorable among those assigned to the Mediterranean diet than among those assigned to the low-fat diet (P<0.001 for the interaction among diabetes and Mediterranean diet and time with respect to fasting glucose levels). CONCLUSIONS: Mediterranean and low-carbohydrate diets may be effective alternatives to low-fat diets. The more favorable effects on lipids (with the low-carbohydrate diet) and on glycemic control (with the Mediterranean diet) suggest that personal preferences and metabolic considerations might inform individualized tailoring of dietary interventions. (ClinicalTrials.gov number, NCT00160108.)