Insulin resistance concepts

The Triglycerides-Glucose Index Shows a Stronger Correlation with Serum Adiponectin Levels than Homeostasis Model Assessment of Insulin Resistance and Quantitative Insulin Sensitivity Check Index

Purpose: To evaluate the association between diverse surrogate markers of insulin resistance and adiponectin concentrations. Methods: Four hundred healthy participants were included. Two different cohorts were formed according to the body mass index (BMI) values. Group 1 (n = 200) consisted of individuals with normal BMI values (18.50-24.99 kg/m2), whereas in Group 2 (n = 200) there were overweight or obese individuals (BMI ≥25.00 kg/m2). Homeostasis model assessment of insulin resistance (HOMA-IR), quantitative insulin sensitivity check index (QUICKI), and triglycerides-glucose index (TyG) were calculated. Serum adiponectin levels were measured by ELISA. A correlation analysis was performed to assess the association between serum adiponectin and HOMA-IR, QUICKI, and TyG. Results: Participants in Group 2 were older (age in years: Group 1, 33.3 ± 6.8 vs. Group 2, 36.4 ± 7.0, P < 0.001). There was no gender difference between groups. Overweight or obese participants had higher BMI, waist circumference, fat mass, fat ratio, fasting plasma glucose, fasting plasma insulin, triglycerides, total cholesterol, and low-density lipoprotein cholesterol values, whereas high-density lipoprotein cholesterol was higher in participants with normal BMI measures. Overweight or obese subjects were more insulin resistant (higher TyG index and HOMA-IR) and less insulin sensitive (lower QUICKI), P < 0.001 for all. Serum adiponectin levels were lower in Group 2 (serum adiponectin in ng/mL: Group 1, 11,880 ± 6838 vs. Group 2, 9115 ± 5766, P < 0.001). The correlation between TyG index and adiponectin was stronger than the correlation between QUICKI and adiponectin, and HOMA-IR and adiponectin (r for TyG and adiponectin -0.408, r for QUICKI and adiponectin 0.394, r for HOMA-IR and adiponectin -0.268, respectively, P < 0.001 for all correlations). Conclusions: TyG has a stronger association with adiponectin than HOMA-IR and QUICKI.

A high triglyceride-glucose index associated with adverse cardiovascular events in patients with type 2 diabetes mellitus and chronic total occlusion after percutaneous coronary intervention

Triglyceride-glucose index (TyG index) is a reliable surrogate marker of insulin resistance, associated with morbidity and prognosis of cardiovascular disease. However, its predictive value for cardiovascular events in patients with type 2 diabetes mellitus (T2DM) and chronic total occlusion (CTO) after percutaneous coronary intervention (PCI) has not been studied. Here, we retrospectively enrolled 681 patients with T2DM and CTO after PCI. Patients were divided into two groups based on a median TyG index of 9.02. The TyG index was calculated as ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. The primary observational end point was the composite of overall death, nonfatal myocardial infarction, and unplanned revascularization. The Multivariate Cox hazards regression analysis showed that the TyG index was significantly correlated with the primary end point (hazard ratio = 1.699, 95% confidence interval 1.254-2.303, p = 0.001). The addition of TyG to a baseline risk model had an incremental effect on the predictive value for the primary end point (area under the curve: TyG index vs baseline model, 0.693 vs 0.663, comparison p = 0.040; integrated discrimination improvement = 0.049, p = 0.020). The TyG index might be a predictor of adverse cardiovascular events. Moreover, adding the TyG index into a baseline risk model had a cumulative effect on the predictive potential for the primary end point.

The metabolic footprint of compromised insulin sensitivity under fasting and hyperinsulinemic-euglycemic clamp conditions in an Arab population

Metabolic pathways that are corrupted at early stages of insulin resistance (IR) remain elusive. This study investigates changes in body metabolism in clinically healthy and otherwise asymptomatic subjects that may become apparent already under compromised insulin sensitivity (IS) and prior to IR. 47 clinically healthy Arab male subjects with a broad range of IS, determined by hyperinsulinemic-euglycemic clamp (HIEC), were investigated. Untargeted metabolomics and complex lipidomics were conducted on serum samples collected under fasting and HIEC conditions. Linear models were used to identify associations between metabolites concentrations and IS levels. Among 1896 identified metabolites, 551 showed significant differences between fasting and HIEC, reflecting the metabolic switch in energy utilization. At fasting, 336 metabolites, predominantly di- and tri-acylglycerols, showed significant differences between subjects with low and high levels of IS. Changes in amino acid, carbohydrate and fatty acid metabolism in response to insulin were impaired in subjects with low IS. Association of altered mannose and amino acids with IS was also replicated in an independent cohort of T2D patients. We identified metabolic phenotypes that characterize clinically healthy Arab subjects with low levels of IS at their fasting state. Our study is providing further insights into the metabolic pathways that precede IR.

Intermittent Fasting Enhanced the Cognitive Function in Older Adults with Mild Cognitive Impairment by Inducing Biochemical and Metabolic changes: A 3-Year Progressive Study

Intermittent fasting (IF) refers to various dietary regimens that cycle between a period of non-fasting and a period of total fasting. This study aimed to determine the effects of IF on cognitive function among elderly individuals who practice IF who have mild cognitive impairment (MCI). A total of 99 elderly subjects with MCI of Malay ethnicity without any terminal illness were recruited from a larger cohort study, LRGS TUA. The subjects were divided into three groups, comprising those who were regularly practicing IF (r-IF), irregularly practicing IF (i-IF), and non-fasters (n-IF). Upon 36 months of follow-up, more MCI subjects in the r-IF group reverted to successful aging with no cognitive impairment and diseases (24.3%) compared to those in i-IF (14.2%) and n-IF groups (3.7%). The r-IF group’s subjects exhibited significant increment in superoxide dismutase (SOD) activity and reduction in body weight, levels of insulin, fasting blood glucose, malondialdehyde (MDA), C-reactive protein (CRP), and DNA damage. Moreover, metabolomics analysis showed that IF may modulate cognitive function via various metabolite pathways, including the synthesis and degradation of ketone bodies, butanoate metabolism, pyruvate metabolism, and glycolysis and gluconeogenesis pathways. Overall, the MCI-afflicted older adults who practiced IF regularly had better cognitive scores and reverted to better cognitive function at 36 months follow-up.

Diabetes and atherothrombosis: The circadian rhythm and role of melatonin in vascular protection

Obesity-related euglycaemic insulin resistance clusters with cardiometabolic risk factors, contributing to the development of both type 2 diabetes and cardiovascular disease. An increased thrombotic tendency in diabetes stems from platelet hyperactivity, enhanced activity of prothrombotic coagulation factors and impaired fibrinolysis. Furthermore, a low-grade inflammatory response and increased oxidative stress accelerate the atherosclerotic process and, together with an enhanced thrombotic environment, result in premature and more severe cardiovascular disease. The disruption of circadian cycles in man secondary to chronic obesity and loss of circadian cues is implicated in the increased risk of developing diabetes and cardiovascular disease. Levels of melatonin, the endogenous synchronizer of circadian rhythm, are reduced in individuals with vascular disease and those with deranged glucose metabolism. The anti-inflammatory, antihypertensive, antioxidative and antithrombotic activities of melatonin make it a potential therapeutic agent to reduce the risk of vascular occlusive disease in diabetes. The mechanisms behind melatonin-associated reduction in procoagulant response are not fully known. Current evidence suggests that melatonin inhibits platelet aggregation and might affect the coagulation cascade, altering fibrin clot structure and/or resistance to fibrinolysis. Large-scale clinical trials are warranted to investigate the effects of modulating the circadian clock on insulin resistance, glycaemia and cardiovascular outcome.

Insulin resistance in nondiabetic Egyptian patients with chronic hepatitis C virus

INTRODUCTION AND OBJECTIVE

Insulin resistance and diabetes mellitus are frequently associated with chronic hepatitis C virus (HCV) infection, and it is thought that the presence of insulin resistance aggravates liver disease. We aimed to evaluate insulin resistance in nondiabetic Egyptian patients with chronic HCV infection.

MATERIALS AND METHODS

Sixty nondiabetic patients with chronic HCV infection and 30 healthy nondiabetic non-HCV-infected volunteers were enrolled in our study. They were divided into 3 groups: group 1 included 30 patients with chronic HCV infection with no cirrhosis, group 2 included 30 patients with chronic HCV infection and cirrhosis of the liver, and group 3 included 30 healthy volunteers as controls. The entire study population underwent a detailed clinical history and physical examination, weight and height measurement, routine laboratory tests, and viral marker determination that included hepatitis B surface antigen and HCV antibodies. PCR analysis was carried out on the patients with positive HCV antibodies. Fasting blood sugar and fasting insulin levels were measured in all the patients, and insulin resistance was calculated according to the homeostasis model assessment of insulin resistance (HOMA-IR).

RESULTS

Patients with cirrhosis of the liver (2 patients with Child class A, 12 patients with Child class B, and 16 patients with Child class C) showed higher insulin resistance levels (2.76±0.97) than the patients with chronic HCV infection and no cirrhosis (2.03±0.743) and the control group (1.22±0.38). The p value was significantly different between the 3 groups. There were direct and significant correlations between insulin resistance, fasting blood sugar, and fasting insulin levels. Patients with chronic HCV infection showed significantly higher fasting insulin and glucose levels than the control group.

CONCLUSION

Chronic HCV-infected patients showed significantly higher insulin resistance levels than the normal population, even in the absence of hepatic dysfunction and cirrhosis.

Insulin resistance is another factor that increases the risk of recurrence in patients with thyroid cancer

The objective of this study was to evaluate the initial response to treatment and the long-term outcome of patients with papillary thyroid cancer (PTC), according to the modified 2014 risk of recurrence classification of the American Thyroid Association and the presence or absence of insulin resistance (IR). We retrospectively reviewed our database of 636 records and selected 171 patients in whom we had previously validated the ATA risk of recurrence (RR) classification. From these patients, 38 non-diabetic subjects were included for analysis according to the following criteria: age older than 18 years, classic papillary thyroid carcinoma, stable body mass index 5 years previous to PTC diagnosis and during the entire time of follow-up, low and intermediate RR, follow-up after initial treatment at least for 3 years, and absence of any drug treatment for the metabolic syndrome. The IR was evaluated through the homeostasis model assessment (HOMA) index. When equal or higher than 2.5, patients were considered as harboring IR. The initial response to treatment was classified as remission or persistent disease (biochemical and/or structural). The clinical status at final follow-up was defined as no evidence of disease, biochemical persistent disease, structural persistent disease, or recurrence (biochemical or structural disease identified after a period of no evidence of disease). RR was as follows: low: n=15, intermediate: n=23. The median follow-up of this patient cohort was 5.5 years (range 3-22 years). We found no statistically significant differences when the response to initial treatment was considered in low-risk patients with or without IR. However, remission was more frequently found in those patients without IR when the intermediate RR was considered (36 vs. 11%, p=0.01). When considering the status at final follow-up, we found more frequency of structural persistent disease in both, low and intermediate RR patients with IR (10 vs. 0%, p=0.02 and 45 vs.7%, p=0.01, respectively). In this series of patients with PTC, the state of IR was associated with increased frequency of structural persistent disease at final follow-up. The IR could have a deleterious effect on the outcome of patients with PTC.

HOMA-IR is associated with significant angiographic coronary artery disease in non-diabetic, non-obese individuals: a cross-sectional study

Insulin resistance is a major component of metabolic syndrome, type 2 Diabetes Mellitus (T2DM) and coronary artery disease (CAD). Although important in T2DM, its role as a predictor of CAD in non-diabetic patients is less studied. In the present study, we aimed to evaluate the association of HOMA-IR with significant CAD, determined by coronary angiography in non-obese, non-T2DM patients. We also evaluate the association between 3 oral glucose tolerance test (OGTT) based insulin sensitivity indexes (Matsuda, STUMVOLL-ISI and OGIS) and CAD. We conducted a cross-sectional study with 54 non-obese, non-diabetic individuals referred for coronary angiography due to suspected CAD. CAD was classified as the "anatomic burden score" corresponding to any stenosis equal or larger than 50 % in diameter on the coronary distribution. Patients without lesions were included in No-CAD group. Patients with at least 1 lesion were included in the CAD group. A 75 g oral glucose tolerance test (OGTT) with measurements of plasma glucose and serum insulin at 0, 30, 60, 90 and 120 min was obtained to calculate insulin sensitivity parameters. HOMA-IR results were ranked and patients were also categorized into insulin resistant (IR) or non-insulin resistant (NIR) if they were respectively above or below the 75th percentile (HOMA-IR > 4.21). The insulin sensitivity tests results were also divided into IR and NIR, respectively below and above each 25th percentile. Chi square was used to study association. Poisson Regression Model was used to compare prevalence ratios between categorized CAD and IR groups.

RESULTS

Fifty-four patients were included in the study. There were 26 patients (48 %) with significant CAD. The presence of clinically significant CAD was significant associated with HOMA-IR above p75 (Chi square 4.103, p = 0.0428) and 71 % of patients with HOMA-IR above p75 had significant CAD. Subjects with CAD had increased prevalence ratio of HOMA-IR above p75 compared to subjects without CAD (PR 1.78; 95 % CI 1.079-2.95; p = 0.024). Matsuda index, Stumvoll-ISI and OGIS index were not associated with significant CAD. We concluded that, in patients without diabetes or obesity, in whom a coronary angiography study is indicated, a single determination of HOMA-IR above 4.21 indicates increased risk for clinical significant coronary disease. The same association was not seen with insulin sensitivity indexes such as Matsuda, Stunvoll-ISI or OGIS. These findings support the need for further longitudinal research using HOMA-IR as a predictor of cardiovascular disease.

Invited commentary: nighttime light exposure as a risk factor for obesity through disruption of circadian and circannual rhythms

In this issue of the American Journal of Epidemiology, McFadden et al. (Am J Epidemiol. 2014;180(3):245-250) report findings on the relationship between light exposure at night and obesity from a cross-sectional study of United Kingdom women. Their research extends findings from a previous study with elderly participants by including a larger sample size of over 100,000 women and a broader age range of 16 years or older. The findings are consistent with animal studies showing that prolonged light exposure leads to weight gain. Humans' circadian, circannual, and metabolic regulatory systems evolved to be adaptive in environments that were quite different from those faced in modern industrial society. Technology has allowed exposures to levels and timing of light, nutrient intake, and physical activity never before possible. This commentary discusses how nighttime light exposure can increase the risk of obesity and the metabolic syndrome by disrupting circadian and circannual rhythms.

Response to a long-term high-fat diet in the signature of genes involved in lipid metabolism in ApoE(-/-) mice

High-fat diet (HFD)-induced lipid metabolism disorders are a critical feature of diet-induced insulin resistance (IR); however, the mechanisms underlying the tissue-specific effects of HFDs on the signature of genes involved in lipid metabolism have not been fully investigated. Glucose homeostasis and insulin sensitivity were monitored in chow-fed and HFD-fed ApoE mice using the hyperinsulinemic-euglycemic clamp technique. The signatures of genes involved in lipid metabolism were measured in the liver and adipose tissues by quantitative real-time polymerase chain reaction and Western blot analysis. Long-term HFD (for 16 weeks) resulted in marked abnormalities in glucose and lipid metabolism and induced IR in ApoE mice. Long-term HFD also markedly upregulated the messenger RNA (mRNA) expression of insulin-induced gene-2, sterol regulatory element-binding protein cleavage-activating protein and sterol regulatory element-binding protein-1 in the liver and/or adipose tissues, in parallel with an elevated insulin-induced gene-2 protein in the liver. However, HFD markedly downregulated the mRNA expression of sterol regulatory element-binding protein-2, 3-hydroxy-3-methylglutaryl coenzyme A reductase and low-density lipoprotein receptor in the liver. Interestingly, long-term HFD markedly decreased adipose triglyceride lipase and peroxisome proliferator-activated receptor-γ mRNA, and adipose triglyceride lipase protein contents in the liver and/or adipose tissues. These findings provide a framework to understand the mechanisms by which long-term HFD regulates the gene signatures involved in lipid metabolism in the pathogenesis of diet-induced IR.

Impact of insulin resistance on silent and ongoing myocardial damage in normal subjects: the Takahata study

Background. Insulin resistance (IR) is part of the metabolic syndrome (Mets) that develops after lifestyle changes and obesity. Although the association between Mets and myocardial injury is well known, the effect of IR on myocardial damage remains unclear. Methods and Results. We studied 2200 normal subjects who participated in a community-based health check in the town of Takahata in northern Japan. The presence of IR was assessed by homeostasis model assessment ratio, and the serum level of heart-type fatty acid binding protein (H-FABP) was measured as a maker of silent and ongoing myocardial damage. H-FABP levels were significantly higher in subjects with IR and Mets than in those without metabolic disorder regardless of gender. Multivariate logistic analysis showed that the presence of IR was independently associated with latent myocardial damage (odds ratio: 1.574, 95% confidence interval 1.1–2.3) similar to the presence of Mets. Conclusions. In a screening of healthy subjects, IR and Mets were similarly related to higher H-FABP levels, suggesting that there may be an asymptomatic population in the early stages of metabolic disorder that is exposed to myocardial damage and might be susceptible to silent heart failure.

Hepatitis C virus induced insulin resistance impairs response to anti viral therapy

Hepatitis C virus (HCV) infection is an important risk factor for insulin resistance (IR). The latter is the pathogenic foundation underlying metabolic syndrome, steatosis and cirrhosis, and possibly hepatocellular carcinoma (HCC). The interplay between genetic and environmental risk factors ultimately leads to the development of IR. Obesity is considered a major risk factor, with dysregulation of levels of secreted adipokines from distended adipose tissue playing a major role in IR. HCV-induced IR may be due to the HCV core protein inducing proteasomal degradation of insulin receptor substrates 1 and 2, blocking intracellular insulin signaling. The latter is mediated by increased levels of both tumour necrosis factor-α (TNF-α) and suppressor of cytokine signaling 3 (SOC-3). IR, through different mechanisms, plays a role in the development of steatosis and its progression to steatohepatitis, cirrhosis and even HCC. In addition, IR has a role in impairing TNF signaling cascade, which in turn blocks STAT-1 translocation and interferon stimulated genes production avoiding the antiviral effect of interferon.

How can we measure insulin sensitivity/resistance?

Insulin resistance represents a major public health problem, as it plays a major role in the pathophysiology of type 2 diabetes mellitus; it is also associated with increased cardiovascular risk and atherogenic dyslipidaemia, and is a central component of the cluster of metabolic abnormalities that comprise the metabolic syndrome. Thus, the development of tools to quantify insulin sensitivity/resistance has been the main objective of a number of studies. Insulin resistance can be estimated with the use of several biological measurements that evaluate different aspects of this complex situation. To that end, it requires various resources, ranging from just a single fasting blood sample for simple indices, such as the HOMA or QUICKI, to a research setting in which to perform the gold-standard hyperinsulinaemic-euglycaemic clamp test. The choice of method for evaluating insulin resistance depends on the nature of the information required (classification of individual subjects, group comparisons, precise measurement of either global, muscle or liver insulin sensitivity/resistance) and on the available resources. The aim of this review is to analyze the most frequently used assay methods in an attempt to evaluate when and why these methods may be useful.

Insulin resistance: pathophysiology and rationale for treatment

After binding to its receptor and activating the β-subunit, insulin is faced with two divergent pathways: one is phosphatidylinositol 3-kinase (PI 3-K) dependent, while another is dependent upon activation of mitogen-activated protein kinase (MAP-K). The former is absolutely necessary for mediating most metabolic and antiapoptotic effects; the latter is linked to nonmetabolic, proliferative and mitogenic effects. In obese patients, especially with type 2 diabetes mellitus (DM2), only the PI 3-K, but not the MAP-K, is resistant to insulin stimulation: hence insulin resistance is better defined as metabolic insulin resistance. The resulting 'compensatory hyperinsulinemia' is an unsuccessful attempt to overcome the inhibition of the metabolic pathway at the price of unopposed stimulation of the MAP-K pathway, and the administration of exogenous insulin might worsen the metabolic dysfunction. As the preferential activation of the MAP-K pathway in insulin-resistant patients has atherogenic and mitogenic properties, this leads to atherosclerosis and cancer. Metformin may carry out direct protective action on human β cells, inasmuch as it improves both primary and secondary endpoints through selective inhibition of fatty acyl oxidation.

Assessment of insulin resistance by a 13C glucose breath test: a new tool for early diagnosis and follow-up of high-risk patients

Background/Aims

Insulin resistance (IR) plays an important role in the pathogenesis of diabetes and non-alcoholic fatty liver disease (NAFLD). Current methods for insulin resistance detection are cumbersome, or not sensitive enough for early detection and follow-up. The BreathID^® system can continuously analyse breath samples in real-time at the point-of-care. Here we determined the efficacy of the BreathID^® using the ¹³C-Glucose breath test (GBT) for evaluation of insulin resistance.

Methods

Twenty healthy volunteers were orally administered 75 mg of ¹³C-glucose 1-¹³C. An oral glucose tolerance test (OGTT) was performed immediately; followed by serum glucose and insulin level determinations using GBT. GBT and OGTT were repeated following exercise, which alters insulin resistance levels.

Results

Within-subject correlations of GBT parameters with serum glucose and serum insulin levels were high. Before and after exercise, between-subjects correlations were high between the relative insulin levels and the % dose recoveries at 90 min (PDR 90), and the cumulative PDRs at 60 min (CPDR 60). Pairwise correlations were identified between pre-exercise Homeostasis Model Assessment (HOMA) IR at 90 min and PDR 90; HOMA B (for beta cell function) 120 and CPDR 30; HOMA IR 60 and peak time post-exercise; and HOMA B 150 with PDR 150.

Conclusions

The non-invasive real-time BreathID^® GBT reliably assesses changes in liver glucose metabolism, and the degree of insulin resistance. It may serve as a non-invasive tool for early diagnosis and follow up of patients in high-risk groups.

High-fat diets induce a rapid loss of the insulin anorectic response in the amygdala

Intracerebroventricular insulin decreases food intake (FI). The central bed nucleus of the amygdala (CeA), as other regions of the brain regulating feeding behavior, expresses insulin receptors. Our objectives were to show an insulin anorectic response in the amygdala, study the effect of high-fat diets on this response, and map the neural network activated by CeA insulin using c-Fos immunohistochemistry. Sprague-Dawley (SD) rats fitted with unilateral CeA cannulas were adapted to a low-fat (LFD) diet before they were fed a high-fat diet (HFD). Their feeding response to CeA saline or insulin (8 mU) was tested after 24 h, 72 h, or 7 days of being on a HFD. In a second experiment, SD rats were fed the HFD for 3, 7, or 49 days and were then refed with the LFD. They were tested for their insulin response before and after an HFD and every 3 days for the following weeks. Insulin tolerance tests were performed in a parallel group of rats. The CeA insulin stimulation c-Fos expression was studied to identify the distribution of activated neuronal populations. Feeding an HFD for 72 h or more induced a CeA, but not peripheral, insulin resistance, which was slowly reversed by LFD refeeding. The duration of HFD feeding determined the time frame for reversal of the insulin resistance. CeA insulin increased c-Fos in multiple brain regions, including the arcuate nucleus/paraventricular nucleus region of the hypothalamus. We conclude that the amygdala may be an important site for insulin regulation of food intake and may have a significant role in determining susceptibility to HFD-induced obesity.

Pioglitazone metabolic effect in metformin-intolerant obese patients treated with sibutramine

OBJECTIVE

Metformin is the drug of choice to treat obese type 2 diabetes patients because it reduces either insulin-resistance and body weight. We aimed to comparatively test the efficacy and tolerability of pioglitazone and sibutramine in metformin-intolerant obese type 2 diabetic patients treated with sibutramine.

MATERIALS AND METHODS

Five hundred and seventy-six consecutive Caucasian obese type 2 diabetic patients were evaluated during a 12-months period and fifty-two patients were resulted intolerant to metformin at maximum dosage (3,000 mg/day). All intolerant patients to metformin received a treatment with pioglitazone (45 mg/day) and sibutramine (10 mg/day) and they were compared with fifty-three patients treated with metformin (3,000 mg/day) and sibutramine (10 mg/day) for 6 months in a single-blind controlled trial. We assessed body mass index, waist circumference, glycated hemoglobin, Fasting Plasma glucose, postprandial plasma glucose, fasting plasma insulin, postprandial plasma insulin, lipid profile, systolic blood pressure, diastolic blood pressure and heart rate at baseline and after 3, and 6 months.

RESULTS

No body mass index change was observed at 3, and 6 months in pioglitazone + sibutramine group, while a significant reduction of body mass index and waist circumference was observed after 6 months in metformin + sibutramine group (p<0.05). A significant decrease of glycated hemoglobin, Fasting Plasma glucose, postprandial plasma glucose, fasting plasma insulin, postprandial plasma insulin and HOMA index was observed after 3, and 6 months in both groups (p<0.05, and p<0.01, respectively). A significant Tg reduction was present after 6 months (p<0.05) in both groups respect to the baseline values. No systolic blood pressure, diastolic blood pressure and heart rate change was obtained after 3, and 6 months in both groups.

CONCLUSION

Pioglitazone and sibutramine combination appears to be a short-term equally efficacious and well-tolerated therapeutic alternative respect to metformin-intolerant obese type 2 diabetic patients treated with sibutramine.

The "metabolic syndrome" is less useful than random plasma glucose to screen for glucose intolerance

AIMS

To compare the utility of metabolic syndrome (MetS) to random plasma glucose (RPG) in identifying people with diabetes or prediabetes.

METHODS

RPG was measured and an OGTT was performed in 1155 adults. Test performance was measured by area under the receiver-operating-characteristic curve (AROC).

RESULTS

Diabetes was found in 5.1% and prediabetes in 20.0%. AROC for MetS with fasting plasma glucose (FPG) was 0.80 to detect diabetes, and 0.76 for diabetes or prediabetes--similar to RPG alone (0.82 and 0.72). However, the AROC for MetS excluding fasting plasma glucose was lower: 0.69 for diabetes (p<0.01 vs. both RPG and MetS with FPG), and 0.69 for diabetes or prediabetes. AROCs for MetS with FPG and RPG were comparable and higher for recognizing diabetes in blacks vs. whites, and females vs. males. MetS with FPG was superior to RPG for identifying diabetes only in subjects with age <40 or BMI <25.

CONCLUSIONS

MetS features can be used to identify risk of diabetes, but predictive usefulness is driven largely by FPG. Overall, to identify diabetes or prediabetes in blacks and whites with varying age and BMI, MetS is no better than RPG--a more convenient and less expensive test.

Molecular clocks, type 2 diabetes and cardiovascular disease

The westernised world is in the midst of an epidemic of type 2 diabetes and associated cardiovascular disease. These closely interlinked conditions have a common pathophysiological basis underpinned by insulin resistance and the metabolic syndrome. Contemporary changes in environmental factors on a background of genetic susceptibility are thought to account for the increases seen. Life on earth is governed by the 24-hour environment of light and darkness cycling with the rotation of the earth. Numerous metabolic and physiological pathways are coordinated to this 24-hour cycle by an endogenous clock. Recent epidemiological evidence and animal data suggest that disturbance of circadian rhythms through genetic and environmental influences on the molecular clock is pivotal in the pathogenesis of obesity, type 2 diabetes and cardiovascular disease. This review describes current knowledge on the topic.

Old biliverdin reductase: links to insulin resistance and may be a novel therapeutic target

Insulin resistance has been assigned a pivotal role in the pathological progression associated with type 2 diabetes and other chronic metabolic diseases. However, the molecular mechanism involved in this progression is still incompletely understood, and there are still no effective approaches to scavenge it. Many biological molecules, such as ROS, IRS-1, PI3K, have been identified involving in the causes of insulin resistance. Restoring these molecules could ameliorate the phenomenon of insulin resistance. BVR was known for a long time solely as an enzyme reducing biliverdin to bilirubin in the heme metabolic pathway. Presently, accumulative research data showed that BVR was a strong antioxidant enzyme, which could scavenge the excess ROS, and the characteristics of kinase activity and binding with p85 could modulate the biological function of IRS-1 and PI3K. We hypothesize that BVR has a significant role in the progression of insulin resistance, and it will be a promising therapeutic target for treating insulin resistance.

Introducing the thyroid gland as another victim of the insulin resistance syndrome

BACKGROUND

Insulin is a thyroid growth factor that stimulates proliferation of thyroid cells in culture. In order to evaluate the effects of insulin resistance (IR) on the thyroid gland, we developed a prospective study in euthyroid women.

METHODS

One hundred eleven women (mean age 32.2 +/- 7 years) were evaluated by a thyroid ultrasound (US) and basal and postprandial serum insulin. Subjects were divided into four groups as follows: G1 (n = 42), subjects with IR and obesity; G2 (n = 21), subjects with obesity without IR; G3 (n = 17), subjects with IR and normal weight; and G4 (n = 31) control group (without IR and obesity).

RESULTS

The thyroid volume (TV), measured by US, showed the following values: G1, 17 +/- 3 mL; G2, 13.8 +/- 2.8 mL; G3, 16.2 +/- 2.1 mL; and G4,12.1 +/- 2.4 mL. There was no significant difference in TV between G1 and G3, but differences between G1 and G2, and between G3 and G4 were significant at p < 0.05. The percentage of nodular thyroid glands observed by US in each group was as follows: G1, 50%; G2, 23.8%; G3, 61%; G4, 16.1%. Again, the differences between G1 and G2 and between G3 and G4 were statistically significant (p < 0.005 and p < 0.001, respectively, for each comparison).

CONCLUSIONS

It is concluded that the higher circulating levels of insulin cause increased thyroid proliferation. The clinical manifestations are the larger thyroid volume and the formation of nodules. Thus, the thyroid gland appears to be another victim of the insulin resistance syndrome.