Popular Dietary Patterns: Alignment With American Heart Association 2021 Dietary Guidance: A Scientific Statement From the American Heart Association.

The evolution of dietary guidelines from isolated nutrients to broader dietary pattern recommendations results from growing knowledge of the synergy between nutrients and their food sources as they influence health. Macronutrient and micronutrient needs can be met by consuming various dietary patterns, but guidance is often required to facilitate population-wide adherence to wise food choices to achieve a healthy dietary pattern. This is particularly true in this era with the proliferation of nutrition misinformation and misplaced emphasis. In 2021, the American Heart Association issued a scientific statement outlining key principles of a heart-healthy dietary pattern that could be operationalized in various ways. The objective of this scientific statement is to assess alignment of commonly practiced US dietary patterns with the recently published American Heart Association criteria, to determine clinical and cultural factors that affect long-term adherence, and to propose approaches for adoption of healthy dietary patterns. This scientific statement is intended to serve as a tool for clinicians and consumers to evaluate whether these popular dietary pattern(s) promote cardiometabolic health and suggests factors to consider when adopting any pattern to improve alignment with the 2021 American Heart Association Dietary Guidance. Numerous patterns strongly aligned with 2021 American Heart Association Dietary Guidance (ie, Mediterranean, DASH [Dietary Approaches to Stop Hypertension], pescetarian, vegetarian) can be adapted to reflect personal and cultural preferences and budgetary constraints. Thus, optimal cardiovascular health would be best supported by developing a food environment that supports adherence to these patterns wherever food is prepared or consumed.

Statins Are Associated With Increased Insulin Resistance and Secretion.

Objective: Statin treatment reduces the risk of atherosclerotic cardiovascular disease but is associated with a modest increased risk of type 2 diabetes, especially in those with insulin resistance or prediabetes. Our objective was to determine the physiological mechanism for the increased type 2 diabetes risk. Approach and Results: We conducted an open-label clinical trial of atorvastatin 40 mg daily in adults without known atherosclerotic cardiovascular disease or type 2 diabetes at baseline. The co-primary outcomes were changes at 10 weeks versus baseline in insulin resistance as assessed by steady-state plasma glucose during the insulin suppression test and insulin secretion as assessed by insulin secretion rate area under the curve (ISRAUC) during the graded-glucose infusion test. Secondary outcomes included glucose and insulin, both fasting and during oral glucose tolerance test. Of 75 participants who enrolled, 71 completed the study (median age 61 years, 37% women, 65% non-Hispanic White, median body mass index, 27.8 kg/m2). Atorvastatin reduced LDL (low-density lipoprotein)-cholesterol (median decrease 53%, P<0.001) but did not change body weight. Compared with baseline, atorvastatin increased insulin resistance (steady-state plasma glucose) by a median of 8% (P=0.01) and insulin secretion (ISRAUC) by a median of 9% (P<0.001). There were small increases in oral glucose tolerance test glucoseAUC (median increase, 0.05%; P=0.03) and fasting insulin (median increase, 7%; P=0.01). Conclusions: In individuals without type 2 diabetes, high-intensity atorvastatin for 10 weeks increases insulin resistance and insulin secretion. Over time, the risk of new-onset diabetes with statin use may increase in individuals who become more insulin resistant but are unable to maintain compensatory increases in insulin secretion.

Substituting poly- and mono-unsaturated fat for dietary carbohydrate reduces hyperinsulinemia in women with polycystic ovary syndrome.

OBJECTIVE: Hyperinsulinemia is a prevalent feature of polycystic ovary syndrome (PCOS), contributing to metabolic and reproductive manifestations of the syndrome. Weight loss reduces hyperinsulinemia but weight regain is the norm, thus preventing long-term benefits. In the absence of weight loss, replacement of dietary carbohydrate (CHO) with mono/polyunsaturated fat reduces ambient insulin concentrations in non-PCOS subjects. The current study evaluated whether this dietary intervention could ameliorate hyperinsulinemia in women with PCOS. DESIGN/SETTING/PATIENTS: Obese women with PCOS (BMI 39 ± 7 kg/m2) and insulin resistance completed a crossover study (Stanford University Clinical Research Center) comparing two isocaloric diets, prepared by research dietitians, containing 60% CHO/25% fat versus 40% CHO/45% fat (both 15% protein and ≤7% saturated fat). After 3 weeks on each diet, daylong glucose, insulin, and fasting lipid/lipoproteins were measured. RESULTS: Daylong glucose did not differ according to diet. Daylong insulin concentrations were substantially (30%) and significantly lower on the low CHO/higher fat diet. Beneficial changes in lipid profile were also observed. CONCLUSIONS: Replacement of dietary CHO with mono/polyunsaturated fat yields clinically important reductions in daylong insulin concentrations, without adversely affecting lipid profile in obese, insulin-resistant women with PCOS. This simple and safe dietary intervention may constitute an important treatment for PCOS. ClinicalTrials.gov Identifier: NCT00186459.

In vivo 2H2O administration reveals impaired triglyceride storage in adipose tissue of insulin-resistant humans.

Indirect evidence suggests that impaired triglyceride storage in the subcutaneous fat depot contributes to the development of insulin resistance via lipotoxicity. We directly tested this hypothesis by measuring, in vivo, TG synthesis, de novo lipogenesis (DNL), adipocyte proliferation, and insulin suppression of lipolysis in subcutaneous adipose tissue of BMI-matched individuals classified as insulin resistant (IR) or insulin sensitive (IS). Nondiabetic, moderately obese subjects with BMI 25-35 kg/m(2), classified as IR or IS by the modified insulin suppression test, consumed deuterated water ((2)H2O) for 4 weeks. Deuterium incorporation into glycerol, palmitate, and DNA indicated TG synthesis, DNL, and adipocyte proliferation, respectively. Net TG synthesis and DNL in adipose cells were significantly lower in IR as compared with IS subjects, whereas adipocyte proliferation did not differ significantly. Plasma FFAs measured during an insulin suppression test were 2.5-fold higher in IR subjects, indicating resistance to insulin suppression of lipolysis. Adipose TG synthesis correlated directly with DNL but not with proliferation. These results provide direct in vivo evidence for impaired TG storage in subcutaneous adipose tissue of IR as compared with IS. Relative inability to store TG in the subcutaneous depot may represent a mechanism contributing to the development of insulin resistance in the setting of obesity.

T-cell profile in adipose tissue is associated with insulin resistance and systemic inflammation in humans.

OBJECTIVE: The biological mechanisms linking obesity to insulin resistance have not been fully elucidated. We have shown that insulin resistance or glucose intolerance in diet-induced obese mice is related to a shift in the ratio of pro- and anti-inflammatory T cells in adipose tissue. We sought to test the hypothesis that the balance of T-cell phenotypes would be similarly related to insulin resistance in human obesity. APPROACH AND RESULTS: Healthy overweight or obese human subjects underwent adipose-tissue biopsies and quantification of insulin-mediated glucose disposal by the modified insulin suppression test. T-cell subsets were quantified by flow cytometry in visceral (VAT) and subcutaneous adipose tissue (SAT). Results showed that CD4 and CD8 T cells infiltrate both depots, with proinflammatory T-helper (Th)-1, Th17, and CD8 T cells, significantly more frequent in VAT as compared with SAT. T-cell profiles in SAT and VAT correlated significantly with one another and with peripheral blood. Th1 frequency in SAT and VAT correlated directly, whereas Th2 frequency in VAT correlated inversely, with plasma high-sensitivity C-reactive protein concentrations. Th2 in both depots and peripheral blood was inversely associated with systemic insulin resistance. Furthermore, Th1 in SAT correlated with plasma interleukin-6. Relative expression of associated cytokines, measured by real-time polymerase chain reaction, reflected flow cytometry results. Most notably, adipose tissue expression of anti-inflammatory interleukin-10 was inversely associated with insulin resistance. CONCLUSIONS: CD4 and CD8 T cells populate human adipose tissue and the relative frequency of Th1 and Th2 are highly associated with systemic inflammation and insulin resistance. These findings point to the adaptive immune system as a potential mediator between obesity and insulin resistance or inflammation. Identification of antigenic stimuli in adipose tissue may yield novel targets for treatment of obesity-associated metabolic disease.

Pancreatic beta cell function following liraglutide-augmented weight loss in individuals with prediabetes: analysis of a randomised, placebo-controlled study.

AIMS/HYPOTHESIS: Liraglutide can modulate insulin secretion by directly stimulating beta cells or indirectly through weight loss and enhanced insulin sensitivity. Recently, we showed that liraglutide treatment in overweight individuals with prediabetes (impaired fasting glucose and/or impaired glucose tolerance) led to greater weight loss (-7.7% vs -3.9%) and improvement in insulin resistance compared with placebo. The current study evaluates the effects on beta cell function of weight loss augmented by liraglutide compared with weight loss alone. METHODS: This was a parallel, randomised study conducted in a single academic centre. Both participants and study administrators were blinded to treatment assignment. Individuals who were 40-70 years old, overweight (BMI 27-40 kg/m(2)) and with prediabetes were randomised (via a computerised system) to receive liraglutide (n = 35) or matching placebo (n = 33), and 49 participants were analysed. All were instructed to follow an energy-restricted diet. Primary outcome was insulin secretory function, which was evaluated in response to graded infusions of glucose and day-long mixed meals. RESULTS: Liraglutide treatment (n = 24) significantly (p ≤ 0.03) increased the insulin secretion rate (% mean change [95% CI]; 21% [12, 31] vs -4% [-11, 3]) and pancreatic beta cell sensitivity to intravenous glucose (229% [161, 276] vs -0.5% (-15, 14]), and decreased insulin clearance rate (-3.5% [-11, 4] vs 8.2 [0.2, 16]) as compared with placebo (n = 25). The liraglutide-treated group also had significantly (p ≤ 0.03) lower day-long glucose (-8.2% [-11, -6] vs -0.1 [-3, 2]) and NEFA concentrations (-14 [-20, -8] vs -2.1 [-10, 6]) following mixed meals, whereas day-long insulin concentrations did not significantly differ as compared with placebo. In a multivariate regression analysis, weight loss was associated with a decrease in insulin secretion rate and day-long glucose and insulin concentrations in the placebo group (p ≤ 0.05), but there was no association with weight loss in the liraglutide group. The most common side effect of liraglutide was nausea. CONCLUSIONS/INTERPRETATION: A direct stimulatory effect on beta cell function was the predominant change in liraglutide-augmented weight loss. These changes appear to be independent of weight loss. TRIAL REGISTRATION: ClinicalTrials.gov NCT01784965 FUNDING: The study was funded by the ADA.

Comparison of three treatment approaches to decreasing cardiovascular disease risk in nondiabetic insulin-resistant dyslipidemic subjects.

The efficacy of fenofibrate (FEN), rosiglitazone (RSG), or a calorie-restricted diet (CRD) to reduce cardiovascular disease risk was compared in 37 overweight/obese insulin-resistant nondiabetic subjects. Insulin sensitivity, fasting lipids and lipoproteins, and postprandial plasma glucose, insulin, free fatty acid, and triglycerides were measured before and after 3 months of treatment with FEN, RSG, or CRD. Weight decreased in the CRD group, but did not change significantly after treatment with either drug. Insulin sensitivity improved significantly in the CRD- and RSG-treated groups, but to a greater extent in those administered RSG, without a significant difference comparing FEN treatment with the CRD. Total cholesterol was significantly lower after FEN and CRD treatment. Fasting plasma triglycerides decreased significantly in the FEN- and CRD-treated groups, but postprandial concentrations decreased in only FEN-treated subjects. Significant decreases in postprandial glucose and insulin were seen in only the RSG- and CRD-treated groups. FEN administration improved dyslipidemia in these subjects without changing insulin sensitivity, whereas insulin sensitivity was enhanced in RSG-treated patients without improvement in dyslipidemia. Weight loss in the CRD group led to improvements in both insulin sensitivity and dyslipidemia, but the change in the former was less than in RSG-treated patients, and improvement in lipid metabolism not as great as with FEN. In conclusion, there did not appear to be 1 therapeutic intervention that effectively treated all metabolic abnormalities present in these patients at greatly increased risk of cardiovascular disease.

Heterogeneity in the prevalence of risk factors for cardiovascular disease and type 2 diabetes mellitus in obese individuals: effect of differences in insulin sensitivity.

BACKGROUND: The possibility that substantial heterogeneity in metabolic abnormalities exists in moderately obese individuals has not been emphasized in studies of the effect of obesity on morbidity and mortality. We tested the hypothesis that risk factors for type 2 diabetes mellitus and cardiovascular disease vary dramatically in moderately obese individuals as a function of differences in a specific measure of insulin sensitivity. METHODS: Participants included 211 apparently healthy, obese (body mass index [calculated as weight in kilograms divided by height in meters squared], 30.0-34.9) volunteers for weight loss studies. Main outcome measures included insulin-mediated glucose uptake as quantified by the insulin suppression test and metabolic variables known to increase the risk for type 2 diabetes and cardiovascular disease. RESULTS: Insulin sensitivity varied 6-fold. When compared with the most insulin-sensitive third, the most insulin-resistant third of the population had significantly higher (P<.001) systolic and diastolic blood pressure (139 +/- 20 vs 123 +/- 18 mm Hg, and 83 +/- 3 vs 75 +/- 10 mm Hg, respectively), higher fasting and 2-hour oral glucose load concentrations (103 +/- 11 vs 95 +/- 11 mg/dL [5.7 +/- 0.6 vs 5.3 +/- 0.6 mmol/L], and 139 +/- 30 vs 104 +/- 19 mg/dL [7.7 +/- 1.7 vs 5.8 +/- 1.1 mmol/L], respectively), higher plasma triglyceride concentrations (198 +/- 105 vs 114 +/- 51 mg/dL [2.2 +/- 1.2 vs 1.3 +/- 0.6 mmol/L]), lower plasma high-density lipoprotein cholesterol concentrations (41 +/- 9 vs 50 +/- 13 mg/dL [1.1 +/- 0.2 vs 1.3 +/- 0.3 mmol/L]), and more prevalent impaired glucose tolerance (47% vs 2%). CONCLUSIONS: The magnitude of risk factors for type 2 diabetes and cardiovascular disease varies markedly in moderately obese individuals as a function of differences in degree of insulin sensitivity. Because not all moderately obese individuals are at similar risk for developing type 2 diabetes and cardiovascular disease, intensive therapeutic interventions should be addressed to the insulin-resistant subset of this population.

Lipoprotein abnormalities are associated with insulin resistance in South Asian Indian women.

South Asian Indians are at increased risk of coronary heart disease (CHD), possibly related to dyslipidemia characterized by high triglyceride (TG) and low high-density lipoprotein cholesterol (HDL-C) concentrations. The importance of differences in insulin resistance as compared to abdominal obesity in the development of this atherogenic lipoprotein profile is not clear, and the current cross-sectional study was initiated to examine this issue. Consequently, we defined the relationship between differences in insulin-mediated glucose uptake (IMGU), abdominal obesity, and various measures of lipoprotein metabolism known to increase CHD risk in 52 apparently healthy women of South Asian Indian ancestry. IMGU was quantified by determining the steady-state plasma glucose (SSPG) concentration during the insulin suppression test and abdominal obesity was assessed by measurement of waist circumference (WC), and the population was divided into tertiles on the basis of their SSPG results. Results indicated that although there were significant differences in SSPG, TG, and HDL-C values, there were no differences in age, blood pressure, total cholesterol, low-density lipoprotein cholesterol, body mass index, or WC between the highest and lowest tertiles. SSPG concentrations were significantly correlated with both log TG (r = 0.44, P = .001) and HDL-C (r = -0.44, P < .001) concentration, whereas TG and HDL-C concentrations were not significantly related to WC. Furthermore, the relationships between SSPG concentration and TG and HDL-C remained significant when adjusted for age and WC. Finally, a more extensive lipoprotein analysis indicated that the most insulin resistant tertile had higher TG concentrations, lower concentrations of HDL-C and HDL-C subclasses, and smaller and denser low-density lipoprotein particles than the most insulin sensitive tertile, despite the 2 groups not being different in age, BMI, or WC. These results indicate that a highly atherogenic lipoprotein profile seen in South Asian Indian women is significantly associated with insulin resistance independent of differences in WC.

Effect of Pioglitazone on Cardiometabolic Risk in Patients With Obstructive Sleep Apnea.

Prevalence of insulin resistance is increased in patients with obstructive sleep apnea (OSA). Because insulin resistance is an independent predictor of cardiovascular disease (CVD), this study was initiated to see if pioglitazone administration would improve insulin sensitivity and thereby decrease risk of CVD in overweight/obese, nondiabetic, insulin-resistant patients with untreated OSA. Patients (n = 30) were administered pioglitazone (45 mg/day) for 8 weeks, and measurements were made before and after intervention of insulin action (insulin-mediated glucose uptake by the insulin suppression test), C-reactive protein, lipid/lipoprotein profile, and gene expression profile of periumbilical subcutaneous fat tissue. Insulin sensitivity increased 31% (p <0.001) among pioglitazone-treated subjects, associated with a decrease in C-reactive protein concentration (p ≤0.001), a decrease in plasma triglyceride, and increase in high-density lipoprotein cholesterol concentrations (p ≤0.001), accompanied by significant changes in apolipoprotein A1 and B concentrations and lipoprotein subclasses known to decrease CVD risk. In addition, subcutaneous adipose tissue gene expression profile showed a 1.6-fold (p <0.01) increase in GLUT4 expression and decreased expression in 5 of 9 inflammatory genes (p <0.05). In conclusion, enhanced insulin sensitivity can significantly decrease multiple cardiometabolic risk factors in patients with untreated OSA, consistent with the view that coexisting insulin resistance plays an important role in the association between OSA and increased risk of CVD.

Plasma asymmetric dimethylarginine concentrations are elevated in obese insulin-resistant women and fall with weight loss.

CONTEXT: Plasma asymmetric dimethylarginine (ADMA) concentrations are higher in apparently healthy, insulin-resistant (IR) individuals and decrease in response to thiazolidenedione treatment. OBJECTIVE: The objective of the study was to determine whether ADMA concentrations would also fall when insulin sensitivity is enhanced with weight loss in obese individuals. DESIGN/SETTING/PATIENTS/INTERVENTION: Twenty obese women classified as IR or insulin sensitive (IS) on the basis of their steady-state plasma glucose (SSPG) concentration during the insulin suppression test underwent 12 wk of dietary weight loss. OUTCOME MEASURES: Plasma glucose, insulin, and ADMA were measured at baseline and after weight loss; change in insulin resistance was quantified by repeating the SSPG after the dietary intervention. RESULTS: Although weight loss was similar in the two groups, significant improvements in SSPG, glucose, and insulin concentrations were confined to the IR group. Baseline plasma ADMA concentrations (mean +/- sd) were higher in IR subjects (1.69 +/- 0.44 vs. 1.18 +/- 0.45 micromol/liter, P = 0.02) and decreased to 1.20 +/- 0.22 micromol/liter (P < 0.001) with weight loss. In contrast, ADMA levels did not change with a similar extent of weight loss in the IS group. CONCLUSION: Plasma ADMA levels are higher in obese, IR women than in equally obese, IS women and decrease in response to weight loss when associated with enhancement of insulin sensitivity.

The relationship between plasma adiponectin concentration and insulin resistance is altered in smokers.

CONTEXT: Low plasma adiponectin concentrations in smokers may contribute to the adverse consequences that occur in these individuals. OBJECTIVE: The objective of the study was to define the relationship among smoking, plasma adiponectin concentrations, insulin resistance, and inflammation. DESIGN: This was a cross-sectional, observational study with a 2 x 2 factorial design and a prospective longitudinal arm. SETTING: The study was conducted at a general clinical research center. PARTICIPANTS: Apparently healthy smokers (n = 30) and nonsmokers (n = 30), subdivided into insulin resistant (IR) (n = 15) and insulin sensitive (IS) (n = 15) subgroups participated in the study. INTERVENTION: Intervention included pioglitazone administration for 3 months to 12 IR smokers and eight IS smokers. MAIN OUTCOME MEASURES: Measures included fasting plasma adiponectin and C-reactive protein (CRP) concentrations and changes in adiponectin after pioglitazone treatment in IR and IS smokers. RESULTS: Being either a smoker or having insulin resistance was independently associated with lower adiponectin concentrations (P = 0.046 and 0.001, respectively). The difference in mean adiponectin concentration between smokers and nonsmokers did not depend on the insulin resistance status of the subjects. No difference was detected in average CRP concentrations between smokers and nonsmokers (P = 0.18) and between IR and IS subjects (P = 0.13). CRP concentrations were unrelated to adiponectin in smokers (r = -0.05, P = 0.78) and nonsmokers (r = 0.03, P = 0.86). Finally, pioglitazone treatment increased adiponectin concentrations in both IR (P < 0.001) and IS smokers (P = 0.001). CONCLUSIONS: Plasma adiponectin concentrations are lower in smokers and IR subjects and are unrelated to CRP concentrations. These findings suggest that low levels of adiponectin in smokers may be independent of both insulin resistance and a generalized inflammatory response.

Rosiglitazone reduces glucose-stimulated insulin secretion rate and increases insulin clearance in nondiabetic, insulin-resistant individuals.

Compensatory hyperinsulinemia permitting insulin-resistant individuals to maintain normal glucose tolerance is associated with a left shift in the glucose-stimulated insulin secretion rate (GS-ISR) dose-response curve and decrease in the insulin metabolic clearance rate (I-MCR). To see whether these changes would reverse with improvement in insulin sensitivity, 14 nondiabetic insulin-resistant subjects received rosiglitazone for 12 weeks (4 mg daily for 4 weeks and then 8 mg daily for 8 weeks). Insulin-mediated glucose uptake was quantified by measuring the steady-state plasma glucose concentration during the insulin suppression test. GS-ISR and I-MCR were determined during a 240-min graded intravenous glucose infusion. I-MCR was also calculated during the insulin suppression test. After rosiglitazone treatment, insulin sensitivity improved with significant fall in steady-state plasma glucose (means +/- SE from 13.5 +/- 0.62 to 9.8 +/- 1.02 mmol/l, P < 0.001). In response, the integrated GS-ISR decreased by 21% (P < 0.001), with a right shift in the dose-response curve. Calculated I-MCR increased by 34% (P = 0.008) during the insulin suppression test and by 21% (P = 0.03) during the graded glucose infusion. In conclusion, enhanced insulin sensitivity in rosiglitazone-treated nondiabetic insulin-resistant individuals was associated with a shift to the right in the GS-ISR dose-response curve and an increase in I-MCR.

Effects of moderate variations in macronutrient composition on weight loss and reduction in cardiovascular disease risk in obese, insulin-resistant adults.

BACKGROUND: Obese, insulin-resistant persons are at risk of cardiovascular disease. How best to achieve both weight loss and clinical benefit in these persons is controversial, and recent reports questioned the superiority of low-fat diets. OBJECTIVE: We aimed to ascertain the effects of moderate variations in the carbohydrate and fat content of calorie-restricted diets on weight loss and cardiovascular disease risk in obese, insulin-resistant persons. DESIGN: Fifty-seven randomly assigned, insulin-resistant, obese persons completed a 16-wk calorie-restricted diet with 15% of energy as protein and either 60% and 25% or 40% and 45% of energy as carbohydrate and fat, respectively. Baseline and postweight-loss insulin resistance; daylong glucose, insulin, and triacylglycerol concentrations; fasting lipid and lipoprotein concentrations; and markers of endothelial function were quantified. RESULTS: Weight loss with 60% or 40% of energy as carbohydrate (5.7 +/- 0.7 or 6.9 +/- 0.7 kg, respectively) did not differ significantly, and improvement in insulin sensitivity correlated with the amount of weight lost (r = 0.50, P < 0.001). Subjects following the diet with 40% of energy as carbohydrate had greater reductions in daylong insulin and triacylglycerol (P < 0.05) and fasting triacylglycerol (0.53 mmol/L; P = 0.04) concentrations, greater increases in HDL-cholesterol concentrations (0.12 mmol/L; P < 0.01) and LDL particle size (1.82 s; P < 0.05), and a greater decrease in plasma E-selectin (5.6 ng/L; P = 0.02) than did subjects following the diet with 60% of energy as carbohydrate. CONCLUSIONS: In obese, insulin-resistant persons, a calorie-restricted diet, moderately lower in carbohydrate and higher in unsaturated fat, is as efficacious as the traditional low-fat diet in producing weight loss and may be more beneficial in reducing markers for cardiovascular disease risk.

Does enhanced insulin sensitivity improve sleep measures in patients with obstructive sleep apnea: a randomized, placebo-controlled pilot study.

BACKGROUND: High fasting insulin levels have been reported to predict development of observed apneas, suggesting that insulin resistance may contribute to the pathogenesis of obstructive sleep apnea (OSA). The aim of this study was to determine whether enhancing insulin sensitivity in individuals with OSA would improve sleep measures. PATIENTS/METHODS: Insulin-resistant, nondiabetic individuals with untreated OSA were randomized (2:1) to pioglitazone (45 mg/day) or placebo for eight weeks in this single-blind study. All individuals had repeat measurements pertaining to sleep (overnight polysomnography and functional outcomes of sleep questionnaire) and insulin action (insulin suppression test). RESULTS: A total of 45 overweight/obese men and women with moderate/severe OSA were randomized to pioglitazone (n = 30) or placebo (n = 15). Although insulin sensitivity increased 31% among pioglitazone-treated compared with no change among individuals receiving placebo (p <0.001 for between-group difference), no improvement in quantitative or qualitative sleep measurements was observed. CONCLUSIONS: Pioglitazone administration increased insulin sensitivity in otherwise untreated individuals with OSA, without any change in polysomnographic sleep measures over an eight-week period. These findings do not support a causal role for insulin resistance in the pathogenesis of OSA.

Differentiation between obesity and insulin resistance in the association with C-reactive protein.

BACKGROUND: Plasma C-reactive protein (CRP) concentrations are increased in obese and/or hyperinsulinemic individuals. The goal of this study was to determine if the relation between insulin resistance and CRP was independent of obesity. METHODS AND RESULTS: Plasma CRP concentrations were measured before and after 3 months of calorie restriction in 38 healthy, obese women. Steady-state plasma glucose (SSPG) concentration during a 180-minute infusion of octreotide, glucose, and insulin was used to stratify participants into insulin-resistant (IR, n=20) or insulin-sensitive (n=18) groups, similar in terms of mean age (46+/-2 versus 44+/-2 years), body mass index (32.0+/-0.4 versus 31.4+/-0.3 kg/m2), and waist circumference (96+/-2 versus 95+/-2 cm). Mean CRP (0.39+/-0.08 versus 0.12+/-0.03 mg/dL, P=0.003) concentrations were higher in the IR group, as were day-long plasma glucose and insulin responses (P<0.001). There was a significant correlation at baseline between CRP and day-long plasma integrated insulin response (r=0.47, P=0.001) but not between CRP and body mass index (r=0.14) or waist circumference (r=0.10). Weight loss was similar in the two groups (8.7+/-0.9 versus 8.4+/-0.8 kg) but was associated with significant (P<0.001) decreases in SSPG and CRP concentrations in the IR group only. Regression analysis showed that SSPG and day-long plasma insulin response were the only significant predictors of CRP concentration. CONCLUSIONS: CRP concentrations are elevated predominantly in obese individuals who are also insulin resistant and fall in parallel with weight loss-associated improvements in insulin resistance. The relation between CRP concentrations and insulin resistance is independent of obesity.

Relationship to insulin resistance of the adult treatment panel III diagnostic criteria for identification of the metabolic syndrome.

The Adult Treatment Panel III (ATP III) has published criteria for diagnosing the metabolic syndrome, a cluster of closely related abnormalities related to insulin resistance that increase cardiovascular disease risk. The present analysis was performed to evaluate the ability of these criteria to identify insulin-resistant individuals. The population consisted of 443 healthy volunteers, with measurements of BMI, blood pressure, fasting plasma glucose, triglycerides, HDL cholesterol concentrations, and steady-state plasma glucose (SSPG) concentration. Insulin resistance was defined as being in the top tertile of SSPG concentrations. Of the population, 20% satisfied ATP III criteria for the metabolic syndrome. Although insulin resistance and the presence of the metabolic syndrome were significantly associated (P < 0.001), the sensitivity and positive predictive value equaled 46% (69 of 149) and 76% (69 of 91), respectively. Being overweight, with high triglycerides, low HDL cholesterol, or elevated blood pressure, most often resulted in a diagnosis of the metabolic syndrome. Thus, the ATP III criteria do not provide a sensitive approach to identifying insulin-resistant individuals. The individual components vary both in terms of their utility in making a diagnosis of the metabolic syndrome and their relationship to insulin resistance, with the obesity and lipid criteria being most useful.

Discrimination between obesity and insulin resistance in the relationship with adiponectin.

Insulin resistance and obesity are both associated with lower plasma adiponectin concentrations. Since insulin resistance and obesity are related, the extent to which the association of adiponectin with insulin resistance is dependent on its relationship with obesity is unclear. To address this issue, fasting plasma adiponectin concentrations were measured in 60 nondiabetic subjects, stratified into four equal groups on the basis of both their degree of adiposity and insulin resistance. Insulin resistance was quantified by determining the steady-state plasma glucose (SSPG) concentration in response to an infusion of octreotide, glucose, and insulin, and degree of adiposity was assessed by BMI. Subjects were defined as obese (BMI >/=30.0 kg/m(2)) or nonobese (<27.0 kg/m(2)) and as either insulin sensitive (SSPG <100 mg/dl) or insulin resistant (>190 mg/dl). Insulin-resistant subjects had significantly (P<0.001) lower (mean +/- SD) adiponectin concentrations, whether they were obese (17.1 +/- 5.9 micro g/ml) or nonobese (16.3 +/- 7.5 micro g/ml) as compared with either obese, insulin-sensitive (34.3 +/- 13.1 micro g/ml) or nonobese, insulin-sensitive (29.8 +/- 15.3 micro g/ml) subjects. Finally, adiponectin levels in insulin-sensitive subjects varied to a significantly greater degree than in insulin-resistant subjects. These results suggest that adiponectin concentrations are more closely related to differences in insulin-mediated glucose disposal than obesity.