Comparison of estimates of insulin sensitivity from minimal model analysis of the insulin-modified frequently sampled intravenous glucose tolerance test and the isoglycemic hyperinsulinemic clamp in subjects with NIDDM

Alterations in Skeletal Muscle Insulin Signaling DNA Methylation: A Pilot Randomized Controlled Trial of Olanzapine in Healthy Volunteers

Antipsychotics are associated with severe metabolic side effects including insulin resistance; however, the mechanisms underlying this side effect are not fully understood. The skeletal muscle plays a critical role in insulin-stimulated glucose uptake, and changes in skeletal muscle DNA methylation by antipsychotics may play a role in the development of insulin resistance. A double-blind, placebo-controlled trial of olanzapine was performed in healthy volunteers. Twelve healthy volunteers were randomized to receive 10 mg/day of olanzapine for 7 days. Participants underwent skeletal muscle biopsies to analyze DNA methylation changes using a candidate gene approach for the insulin signaling pathway. Ninety-seven methylation sites were statistically significant (false discovery rate < 0.05 and beta difference between the groups of ≥10%). Fifty-five sites had increased methylation in the skeletal muscle of olanzapine-treated participants while 42 were decreased. The largest methylation change occurred at a site in the Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-Alpha (PPARGC1A) gene, which had 52% lower methylation in the olanzapine group. Antipsychotic treatment in healthy volunteers causes significant changes in skeletal muscle DNA methylation in the insulin signaling pathway. Future work will need to expand on these findings with expression analyses.

Glucose volume of distribution affects insulin sensitivity measured by intravenous glucose tolerance test

AIM

To determine whether glucose volume of distribution (VdGLUCOSE ) affects the diagnosis of impaired insulin sensitivity (IS) when using an intravenous glucose tolerance test (IVGTT).

METHODS

Individuals with distinct levels of IS underwent IVGTT after an overnight fast. The prediabetic group (Prediab; n = 33) differed from the healthy group (Healthy; n = 14) in their larger glycosylated hemoglobin (HbA1c of 5.9 ± 0.3 vs. 5.4 ± 0.1%; 41 ± 4 vs. 36 ± 1 mmol/mol; p < 0.001), percent body fat (37 ± 6 vs. 24 ± 3%; p < 0.001) and cardiovascular fitness level (VO2MAX 22 ± 5 vs. 44 ± 5 mL of O2 ·kg-1 ·min-1 ; p < 0.001). Ten minutes after intravenous infusion of the glucose bolus (i.e., 35 g in a 30% solution), VdGLUCOSE was assessed from the increases in plasma glucose concentration. IS was calculated during the next 50 min using the slope of glucose disappearance and the insulin time-response curve.

RESULTS

VdGLUCOSE was higher in Healthy than in Prediab (230 ± 49 vs. 185 ± 21 mL·kg-1 ; p < 0.001). VdGLUCOSE was a strong predictor of IS (β standardized coefficient 0.362; p = 0.004). VO2MAX was associated with VdGLUCOSE and IS (Pearson r = 0.582 and 0.704, respectively; p < 0.001). However, body fat was inversely associated with VdGLUCOSE and IS (r = -0.548 and -0.555, respectively; p < 0.001).

CONCLUSIONS

Since fat mass is inversely related to VdGLUCOSE and in turn, VdGLUCOSE affects the calculations of IS, the IV glucose bolus dose should be calculated based on fat-free mass rather than body weight for a more accurate diagnosis of impaired IS.

Assessing the Pathophysiology of Hyperglycemia in the Diabetes RElated to Acute Pancreatitis and Its Mechanisms Study: From the Type 1 Diabetes in Acute Pancreatitis Consortium

OBJECTIVES

The metabolic abnormalities that lead to diabetes mellitus (DM) after an episode of acute pancreatitis (AP) have not been extensively studied. This article describes the objectives, hypotheses, and methods of mechanistic studies of glucose metabolism that comprise secondary outcomes of the DREAM (Diabetes RElated to Acute pancreatitis and its Mechanisms) Study.

METHODS

Three months after an index episode of AP, participants without preexisting DM will undergo baseline testing with an oral glucose tolerance test. Participants will be followed longitudinally in three subcohorts with distinct metabolic tests. In the first and largest subcohort, oral glucose tolerance tests will be repeated 12 months after AP and annually to assess changes in β-cell function, insulin secretion, and insulin sensitivity. In the second, mixed meal tolerance tests will be performed at 3 and 12 months, then annually, and following incident DM to assess incretin and pancreatic polypeptide responses. In the third, frequently sampled intravenous glucose tolerance tests will be performed at 3 months and 12 months to assess the first-phase insulin response and more precisely measure β-cell function and insulin sensitivity.

CONCLUSIONS

The DREAM study will comprehensively assess the metabolic and endocrine changes that precede and lead to the development of DM after AP.

Multipollutant, longitudinal analysis of the association between urinary tungsten and incident diabetes in a rural population

BACKGROUND

Cross-sectional studies suggest tungsten (W) exposure may be associated with diabetes. We assessed longitudinal associations between urinary W and fasting glucose, 2-hour glucose, insulin resistance (HOMA-IR), β-cell function (HOMA-β), and incident type 2 diabetes.

METHODS

We used data from 1,609 Hispanic and non-Hispanic White adults with 20 to 74 years of age residing in rural Colorado and participating in the San Luis Valley Diabetes Study. Urinary metal exposure values were measured at baseline and natural log-transformed. We assessed longitudinal associations between urinary W and continuous outcome measures using linear-mixed effect models and associations with incident diabetes using Fine and Gray competing risks regression models (competing event = all-cause mortality). The main adjustment set of covariates included: age, sex, ethnicity, education, smoking status, hypertension, body mass index, caloric intake, alcohol intake, and urinary creatinine levels. Secondary models were further adjusted for arsenic, cadmium, and lead exposures. We assessed whether sex or ethnicity were effect modifiers.

RESULTS

At baseline, the median W concentration was 0.22 μg/L (interquartile range = 0.20, 0.59). In the main cross-sectional analyses, lnW levels were significantly associated with 3% higher lnHOMA-IR (95% CI = 1 to 5). In the main longitudinal models, lnW was significantly associated with 1% higher natural log-transformed fasting glucose (95% CI = <1 to 1), 3% higher natural log-transformed HOMA-IR (95% CI = 2 to 5), and 28% higher incident diabetes (subdistribution hazard ratio=1.28, 95% CI = 1.09 to 1.50). Results remained significant when further adjusting for other metals. We observed evidence for effect modification by sex and ethnicity.

CONCLUSION

Urinary W was longitudinally associated with adverse metabolic health indicators.

Serum fetuin-A and Ser312 phosphorylated fetuin-A responses and markers of insulin sensitivity after a single bout of moderate intensity exercise

Fetuin‐A (Fet‐A), secreted by the liver and adipose tissue, inhibits insulin receptor tyrosine kinase activity and modulates insulin action. Numerous studies have shown association of elevated serum Fet‐A concentrations with obesity, non‐alcoholic fatty liver disease, and type 2 diabetes. Both moderate body weight loss (5%–10%) and significant body weight loss have been shown to decrease serum Fet‐A and improve insulin sensitivity. Currently, there are no studies examining the effects of a single bout of exercise on serum Fet‐A or Ser312‐pFet‐A (pFet‐A) responses. We hypothesized that a single bout of moderate‐intensity exercise will lower serum Fet‐A and that these changes will be associated with an improvement in insulin sensitivity. Thirty‐one individuals with obesity and 11 individuals with normal body weight were recruited. Participants underwent a single bout of treadmill walking, expending 500 kcal at 60%–70% VO_2max. Oral glucose tolerance tests (OGTT) were administered before the single bout of exercise (Pre Ex) and 24 h after exercise (24h Post Ex). In individuals with obesity, we observed a transient elevation of serum Fet‐A concentrations, but not pFet‐A, immediately after exercise (Post Ex). Further, a single bout of exercise decreased glucose_AUC, insulin_AUC, and insulin resistance index in individuals with obesity. Consistent with this improvement in insulin sensitivity, we observed that Fet‐A_AUC, pFet‐A_AUC, 2 h pFet‐A, and 2 h pFet‐A/Fet‐A were significantly lower following a single bout of exercise. Further, reductions in serum Fet‐A_AUC 24h Post Ex were correlated with a reduction in insulin resistance index. Together, this suggests that alterations in serum Fet‐A following a single bout of moderate‐intensity endurance exercise may play a role in the improvement of insulin sensitivity.

Clinical Trial Registration

NCT03478046; https://clinicaltrials.gov/ct2/show/NCT03478046.

METS-IR, a novel score to evaluate insulin sensitivity, is predictive of visceral adiposity and incident type 2 diabetes

OBJECTIVE

We developed a novel non-insulin-based fasting score to evaluate insulin sensitivity validated against the euglycemic-hyperinsulinemic clamp (EHC). We also evaluated its correlation with ectopic fact accumulation and its capacity to predict incident type 2 diabetes mellitus (T2D).

DESIGN AND METHODS

The discovery sample was composed by 125 subjects (57 without and 68 with T2D) that underwent an EHC. We defined METS-IR as Ln((2*G₀)+TG₀)*BMI)/(Ln(HDL-c)) (G₀: fasting glucose, TG₀: fasting triglycerides, BMI: body mass index, HDL-c: high-density lipoprotein cholesterol), and compared its diagnostic performance against the M-value adjusted by fat-free mass (MFFM) obtained by an EHC. METS-IR was validated in a sample with EHC data, a sample with modified frequently sampled intravenous glucose tolerance test (FSIVGTT) data and a large cohort against HOMA-IR. We evaluated the correlation of the score with intrahepatic and intrapancreatic fat measured using magnetic resonance spectroscopy. Subsequently, we evaluated its ability to predict incident T2D cases in a prospective validation cohort of 6144 subjects.

RESULTS

METS-IR demonstrated the better correlation with the MFFM (ρ = -0.622, P < 0.001) and diagnostic performance to detect impaired insulin sensitivity compared to both EHC (AUC: 0.84, 95% CI: 0.78-0.90) and the SI index obtained from the FSIVGTT (AUC: 0.67, 95% CI: 0.53-0.81). METS-IR significantly correlated with intravisceral, intrahepatic and intrapancreatic fat and fasting insulin levels (P < 0.001). After a two-year follow-up, subjects with METS-IR in the highest quartile (>50.39) had the highest adjusted risk to develop T2D (HR: 3.91, 95% CI: 2.25-6.81). Furthermore, subjects with incident T2D had higher baseline METS-IR compared to healthy controls (50.2 ± 10.2 vs 44.7 ± 9.2, P < 0.001).

CONCLUSION

METS-IR is a novel score to evaluate cardiometabolic risk in healthy and at-risk subjects and a promising tool for screening of insulin sensitivity.

Estimation of insulin sensitivity in children: methods, measures and controversies

Insulin resistance is defined as a state where insulin produces a diminished biological response, primarily in its capacity as a glucose-regulating hormone. Insulin resistance is commonly diagnosed by pediatric clinicians, but is rarely measured directly in children or adolescents. This review provides an overview of the techniques that can be used to assess insulin sensitivity in children, summarizing the methods involved, the assumptions, pitfalls, and appropriate uses of each technique, as well as their validation and reproducibility in pediatric samples.

Correction of insulin sensitivity and glucose disposal after pancreatic islet transplantation: preliminary results

AIMS

Pancreatic islet transplantation (PIT) represents a potential curative treatment for patients with type 1 diabetes, but only 10-15% of patients remain insulin independent 5 years post-transplant. It is not known whether intrinsic insulin resistance exacerbated by immunosuppression plays a pivotal role in low graft survival. The study objective was to understand the changes in insulin resistance, glucose effectiveness (S(g)) and free fatty acid dynamics (FFAd) before and after PIT.

METHODS

Insulin sensitivity index (S(i)), S(g) and FFAd were measured before and after PIT in 10 lean patients, 8 of whom reached insulin independence. Modified Bergman minimal model of frequently sampled intravenous glucose tolerance tests were performed pretransplant and at 12 months post-transplant. Nine non-diabetic control (NDC) subjects matched by age, gender and BMI were used.

RESULTS

Pretransplant S(i) and S(g) were 3.5 ± 0.8 × 10(-5)/min/(pmol/l) and 0.74 ± 0.24 × 10(-2)/min, respectively. S(i) was significantly lower than matched NDCs [10.8 ± 0.6 × 10(-5)/min/(pmol/l), p < 0.004]; S(g) did not reach statistical significance (1.27 ± 0.22 × 10(-2)/min, p = 0.25). Compared to pretransplant values, mean post-transplant S(i) and S(g) were 9.6 ± 1.3 × 10(-5)/min/(pmol/l)and 1.28 ± 0.22 ×10(-2)/min, respectively, indicating significant improvement for S(i) but not S(g) (p = 0.008 and p = 0.06). Twelve-month post-PIT compared to NDC values were not significantly different (p = 0.58 and 0.97, respectively). In addition, fractional disposal rate for FFA which directly depends on the endogenous insulin release (10-20 min) nearly normalized after PIT (p = 0.06).

CONCLUSION

These preliminary findings demonstrate that PIT can restore glucose disposal and insulin sensitivity and partially correct glucose effectiveness and FFAd.

Glucose tolerance and vitamin D: effects of treating vitamin D deficiency

OBJECTIVE

We investigated the effects of vitamin D treatment on plasma glucose, serum insulin, and insulin sensitivity in vitamin D-deficient individuals without diabetes mellitus.

METHODS

Thirty-three adults with vitamin D insufficiency (serum 25-hydroxyvitamin D concentration < or = 50 nmol/L) and without diabetes (12 with impaired glucose tolerance) were given two oral doses of 100 000 IU of cholecalciferol, 2 wk apart. Before the first dose and 2 wk after the second dose, a 75-g oral glucose tolerance test was performed. Plasma glucose, serum insulin, 25-hydroxyvitamin D, and parathyroid hormone concentrations were measured and insulin sensitivity was calculated from the oral glucose tolerance test.

RESULTS

Mean serum 25-hydroxyvitamin D increased from 39.9 +/- 1.5 (SEM) to 90.3 +/- 4.3 nmol/L (P < 0.0001) and mean serum parathyroid hormone decreased from 6.7 +/- 1.2 to 4.5 +/- 0.6 pmol/L (P = 0.055). There was no change in blood glucose mean of 0-120 min (6.1 +/- 0.3 before versus 6.2 +/- 0.3 mmol/L, P = 0.63) or insulin mean of 0-120 min (47.8 +/- 5.35 versus 48.9 +/- 5.22 mU/L, P = 0.67) concentrations, and no change in insulin sensitivity (Avignon's insulin sensitivity index [SiM], P = 0.97; insulin sensitivity index at 0 and 120 min [ISI(0,120)], P = 0.74; Quantitative Insulin Sensitivity Check Index [QUICKI], P = 0.88; homeostasis model assessment [HOMA], P = 0.99) after vitamin D treatment. Results did not differ between subjects, with and without, impaired glucose tolerance.

CONCLUSION

In adults without diabetes, correction of vitamin D deficiency is not associated with any effect on blood glucose or insulin concentrations or insulin sensitivity as assessed during an oral glucose tolerance test. These observations do not support an association between glucose/insulin homeostasis and vitamin D, at least in the short term.

Insulin glargine and its place in the treatment of Types 1 and 2 diabetes mellitus

Insulin treatment in Type 1 and Type 2 diabetes has come a long way since its discovery by Banting and Best in 1922. Early insulin therapy was life-saving, but was associated with practical problems and had side effects such as lipoatrophy. Initial modifications of insulin structure produced several classes of insulins with varying pharmacokinetics, but did not sufficiently mimic physiological insulin release. Novel long- and short-acting insulin analogues, the so-called 'designer insulins', developed through genetic engineering in the 1990s, paved the way for more physiological insulin therapy, which was theoretically less problematic in terms of hypoglycaemia and patient satisfaction. Insulin glargine (glargine) was the first DNA-recombinant long-acting insulin analogue. The replacement of asparagine with glycine and the addition of two arginine molecules in the molecular structure results in modified pharmacokinetics. Consequently, glargine has a longer, often 24-h profile, which is described as 'peakless' compared with other insulins such as neutral protamine Hagedorn insulin (NPH) and insulin ultralente. Since its launch, the use of glargine in Type 1 and Type 2 diabetes has been extensively reviewed to determine its place in the current insulin market. A potential advantage of glargine seems to be a lower risk of hypoglycaemia, particularly at night. The UK National Institute of Clinical Excellence has recommended that glargine is a treatment option for people with Type 1 diabetes. In Type 2 diabetes, it has been advised that glargine only be considered for: those who require assistance to administer insulin injections; those whose lifestyle is restricted significantly by recurrent symptomatic hypoglycaemic episodes; or those who would otherwise need twice-daily basal insulin injections in combination with oral glucose-lowering drugs.

Adiponectin and C-reactive protein in obesity, type 2 diabetes, and monodrug therapy

To learn more about the factors that regulate adipokines in diabetes, we examined fasting plasma concentrations of adiponectin and C-reactive protein (CRP) in well-characterized groups of age-matched individuals classified as: (1) type 2 diabetes; (2) impaired fasting glucose or mild diabetes (IFG/mild DM); (3) obese, matched for body mass index (BMI); and (4) non-obese. Diabetic subjects were also studied on no phamacologic treatment, after 3 months randomization to metformin or glyburide, and after 3 months crossover to the opposite drug. CRP decreased and adiponectin increased progressively between subjects in groups 1 through 4. CRP was significantly associated with percent (r = 0.45) and total (r = 0.50) fat, insulin sensitivity as S(I) (r = -0.39) or homeostasis model assessment of insulin resistance [HOMA (IR)] (r = -0.36), and hemoglobin A(1c) (HbA(1c)) (r = 0.41). The relationship of CRP to percent fat appeared to be logarithmic and log CRP varied with percent fat independent of gender. Adiponectin concentration was significantly associated with insulin sensitivity as S(I) (r = 0.55) or HOMA (IR) (r = -0.46). Adiponectin concentrations were higher among women overall (all groups included) but not in women classified as type 2 diabetes. Although mean adiponectin was higher in subjects classified as non-obese compared to obese, adiponectin, in sharp contrast to leptin (previously reported data) and to CRP, varied markedly when expressed as a function of adiposity. Multiple regression models confirmed the strong relationship of adiponectin to insulin sensitivity, as well as the relationships of CRP to adiposity and insulin sensitivity. Glyburide treatment of diabetes decreased CRP and did so even though body weight increased. We conclude that both CRP and adiponectin correlate strongly to S(I). CRP, in contrast to adiponectin, is far more dependent on adiposity. The relationship between CRP (like leptin) and gender depends on how CRP is expressed relative to adiposity. Our data raise the possibility that gender differences in adiponectin may be lost in diabetes. Finally, pharmacologic treatment of diabetes may modulate CRP independent of adiposity.

Insulin Resistance and Hypertension

The association between insulin resistance and insulinemia and hypertension is controversial. We examined the relation between insulin resistance and hypertension in 564 non-Hispanic whites (NHW), 505 Hispanics (H), and 413 African Americans (AA) who participated in the Insulin Resistance Atherosclerosis Study (IRAS). Insulin sensitivity was measured with a frequently sampled intravenous glucose tolerance test with minimal model analysis. The prevalence of hypertension was 32.5%, 49.4%, and 32.3% in NHW, AA, and H, respectively ( P <0.001). When subjects without diabetes in all ethnic groups were combined, age, male sex, race (AA), body mass index (BMI), and insulin resistance, but not fasting insulin, were significantly associated with hypertension. When each ethnic group was analyzed separately, insulin resistance was significantly associated with hypertension in NHW and H, but not AA. After excluding subjects taking antihypertensive medications, male sex, BMI, fasting glucose, and insulin resistance, but not fasting insulin, were significant determinants of blood pressure. When the 3 ethnic groups were analyzed separately, insulin resistance was significantly associated with blood pressure in H, but not NHW, or AA. Neither insulin resistance nor fasting insulin was significantly associated with hypertension or blood pressure in subjects with diabetes of the 3 ethnic groups after adjusting for age, sex, BMI, and waist. In conclusion, insulin resistance, but not insulinemia, was related to hypertension and blood pressure in subjects without diabetes, but ethnic differences in these relations appear to exist. Neither insulin resistance nor insulinemia was related to hypertension or blood pressure in patients with type 2 diabetes in the 3 ethnic groups.

Relation between insulin kinetics and insulin sensitivity in pregnancy

BACKGROUND

Different time-concentration profiles of plasma insulin following insulin modification of a frequently sampled intravenous glucose-tolerance-test (FSIVGTT) were observed in a study investigating maternal metabolism and fetal macrosomia. We aimed to investigate whether these differences were related to the volume of distribution of insulin, insulin clearance, or both.

DESIGN

Forty-four women were studied between 33 and 35 weeks' gestation using an insulin-modified FSIVGTT. Specific insulin was assayed with an enzyme-linked immunosorbent assay. Insulin sensitivity was calculated using the minimal model and the homeostasis model assessment (HOMA). The volume of distribution and clearance of insulin were calculated from measurements between 2 and 155 min after insulin modification using a one-compartment model.

RESULTS

In accordance with the method for deriving the volume of distribution, there was a significant negative correlation between the increment in insulin concentration and the volume of distribution (rho=-0.92, P<0.0001). The insulin increment was also related negatively to the clearance of insulin (rho=-0.88, P<0.0001). There was a significant correlation between the volume of distribution and both the insulin sensitivity index (rho=0.56, P<0.0001) and HOMA-%S (rho=0.30, P=0.048), and between the clearance of insulin and both the insulin sensitivity index (rho=0.83, P<0.0001)) and HOMA-%S (rho=0.34, P=0.025).

CONCLUSION

The different time-concentration profiles of plasma insulin resulted from differences in the volume of distribution and clearance of insulin. There was a correlation between insulin kinetics and the insulin sensitivity index. Further research is required to investigate possible mechanisms by which insulin kinetics may be related to insulin sensitivity.

Leptin and body fat in type 2 diabetes and monodrug therapy

To better understand the relations among leptin, insulin, and body fat during the metabolic progression to diabetes and during drug monotherapy, metabolic parameters were examined in subjects classified as 1) type 2 diabetes; 2) impaired fasting glucose or mild diabetes mellitus; 3) nondiabetic, matched for body mass index (BMI); and 4) nonobese, nondiabetic. Diabetic subjects were also studied during no pharmacological treatment, after 3 months of randomization to metformin or glyburide, and after 3 months of cross-over to the opposite drug. Log leptin correlated more with percent body fat (slope, 0.042; confidence interval, 0.036-0.047; r(2) = 0.826; P < 0.0001) than with total fat mass, percent truncal or nontruncal fat, or BMI. When normalized to percent fat, leptin did not differ by gender. Leptin normalized to percent fat was 35% less in untreated diabetes than that in BMI-matched controls (P < 0.001). Leptin normalized to percent fat was increased by 25% (P < 0.01) as a result of glyburide therapy compared with pretreatment values, but was unchanged by therapy with metformin. Across a spectrum of subjects with diabetes, impaired fasting glucose/mild diabetes, or BMI-matched nondiabetic controls, normalized leptin significantly correlated with glucose-induced insulin release, but not with insulin sensitivity. Our data suggest that plasma leptin is reduced in untreated type 2 diabetes probably as a consequence of reduced insulin secretion and that circulating leptin concentrations are differentially affected by monodrug therapy.

Genomic scan of glucose and insulin metabolism phenotypes: the HERITAGE Family Study

Genetic factors play a role in the regulation of glucose metabolism-related traits such as insulin sensitivity (S(I)), insulin secretion, and glucose effectiveness (S(G)). Several genomic scans have been performed to localize genes involved in glucose metabolism-related traits. However, few of these studies have been performed with phenotypes derived from the frequently sampled intravenous glucose tolerance test (IVGTT) using the minimal modeling (MINMOD) approach. Here, we report on such a scan for glucose metabolism-related traits derived from MINMOD analysis of IVGTT data in 322 sibling pairs from 95 sedentary white families and 75 sibling pairs from 49 sedentary black families from the HERITAGE Family Study. In addition to S(I) and S(G), we also considered acute insulin response to a glucose challenge (AIR(Glucose)), which is an index for insulin secretion, and disposition index (DI, product of S(I) and AIR(Glucose)), which is a measure of the activity of pancreatic beta cells corrected for insulin resistance. These traits were adjusted for age, sex, and body mass index (BMI) in each of 8 sex-by-generation-by-race groups, and then standardized residuals were used as the phenotypes in the linkage analyses. Analyses were with the multipoint variance components linkage method, as implemented in the computer program SEGPATH, using 509 markers. Several regions with promising linkages (LOD score >/= 1.75, P </=.0023) were detected. They include five regions (1q41 and 8p23.2 for S(I), 4q32.1 and 10p15.3 for AIR(Glucose), and 13q32.1 for DI) in whites and 2 regions (9p11.2 for S(G) and 10q26.11 for S(I)) in blacks. Three of these regions (4q32.1, 9p11.2, 10p15.3) are likely to harbor genes that influence interindividual variation in glucose metabolism-related traits as they replicate findings from other studies. Fine mapping and association studies of candidate genes within these genomic regions are warranted.

High-fat high-energy feeding impairs fasting glucose and increases fasting insulin levels in the Göttingen minipig: results from a pilot study

High-fat diet and obesity are known to be of major importance for development of type 2 diabetes in humans. High-fat feeding can induce syndromes of glucose intolerance and/or insulin resistance in several species, and the Göttingen minipig might be a useful model for studying the effect of dietary high-fat intake and obesity on glucose homeostasis and the susceptibility to diabetes. The present study was designed as a pilot study to investigate the effects of obesity caused by high-fat high-energy feeding on oral and intravenous glucose tolerance. Male Göttingen minipigs were fed a control diet (CD) or a high-fat high-energy diet (HFD) for 3 months. Body weight (32.6 +/- 2.4 kg vs. 24.9 +/- 0.5 kg, p < 0.001) and total (13.2 +/- 3.2% vs. 6.1 +/- 0.5%, p = 0.002) and truncal (11.0 +/- 3.9% vs. 1.8 +/- 1.1%, p = 0.001) fat percent were increased significantly, whereas relative lean body mass was decreased (84.8 +/- 3.3% vs. 91.9 +/- 0.5%, p = 0.002) in the HFD group compared to CD. Fasting plasma glucose (4.3 +/- 0.4 mM vs. 3.6 +/- 0.3 mM, p = 0.023) and insulin (80 +/- 23 pM vs. 23 +/- 21 pM, p = 0.012) were increased in the HFD group compared to CD, but oral glucose tolerance was not significantly changed. Insulin responses to intravenous glucose were increased (6741 +/- 2538 vs. 3938 +/- 771 pM 3 min, p = 0.050), while glucose clearance was not changed by HFD vs. CD, thus indicating insulin resistance. In conclusion, changes in body weight and composition, resulting in minor abnormalities in glucose tolerance and insulin sensitivity, characterized by slight hyperglycemia and compensatory hyperinsulinemia, can be induced in the male Göttingen minipig by high-fat high-energy feeding for 3 months. This approach seems to be an interesting and promising method for establishment of a nonrodent model of insulin resistance or type 2 diabetes.

Insulin glargine: a new basal insulin

OBJECTIVE

To review the pharmacology, pharmacokinetics, dosing guidelines, adverse effects, drug interactions, and clinical efficacy of insulin glargine.

DATA SOURCES

Primary and review articles regarding insulin glargine were identified by MEDLINE search (1966-July 2001); abstracts were identified through Institute for Scientific Information Web of Science (1995-July 2001) and the American Diabetes Association. Additional information was obtained from the insulin glargine product information.

STUDY SELECTION AND DATA EXTRACTION

All of the articles and meeting abstracts identified from the data sources were evaluated, and all information deemed relevant was included in this review. Priority was placed on data from the primary medical literature.

DATA SYNTHESIS

Insulin glargine is a long-acting, recombinant human insulin analog that is given once daily as a basal source of insulin in patients with type 1 or type 2 diabetes mellitus. Modification of the basic insulin structure has produced a new insulin that is soluble at an acidic pH, but precipitates in the subcutaneous tissue and is slowly released from a depot. Insulin glargine has a slower onset of action than NPH insulin and a longer duration of action with no peak activity. Once-daily administration of insulin glargine has comparable efficacy to that of NPH insulin administered once or twice daily in basal-bolus regimens when used in combination with intermittent doses of regular insulin or insulin lispro in patients with type 1 and type 2 diabetes, and in conjunction with oral antidiabetic agents in patients with type 2 diabetes. Overall, insulin glargine has an incidence of hypoglycemia comparable to or less than that of NPH insulin, with a reduced incidence of nocturnal hypoglycemia compared with NPH insulin seen in some studies.

CONCLUSIONS

Insulin glargine is a long-acting insulin analog capable of providing 24-hour basal insulin coverage when administered once daily at bedtime. Its activity profile, which lacks a pronounced peak, more closely resembles that of endogenous basal insulin than that of other intermediate- or long-acting insulins and appears more likely to be associated with a reduced incidence of hypoglycemia, particularly nocturnal hypoglycemia. Insulin glargine physiologically provides basal insulin but, for most patients, the addition of a rapid-acting insulin, like insulin lispro, before or with meals will need to be included in the treatment regimen to achieve optimal management of blood glucose concentrations.

Insulin glargine: the first clinically useful extended-action insulin analogue

Insulin glargine is a new extended-action insulin analogue, created by recombinant DNA modification of human insulin. Extension of the C-terminal of the B-chain with two arginine residues and the substitution of glycine for asparagine at position A-21 increases the isoelectric point, resulting in precipitation of the insulin at the injection site and a protracted absorption. Pharmacodynamic studies have demonstrated a prolonged metabolic profile without a pronounced peak and with a duration of action of 20 - 30 h. In clinical studies in people with Type 1 and Type 2 diabetes, insulin glargine has demonstrated improved pre-breakfast blood glucose control and a reduction in the frequency of hypoglycaemia, especially nocturnal hypoglycaemia, in comparison with neutral protamine hagedorn (NPH) insulin. In addition, 24h glycaemic control in Type 2 diabetes and treatment satisfaction may also be improved. However, whilst appearing achievable, insulin glargine has not yet demonstrated the ability to improve HbA(1c), though this may relate to inexperience in the use of the new compound. In order to fully exploit its metabolic advantages, it appears vital that the dose of insulin glargine should be titrated to achieve aggressive pre-breakfast blood glucose targets beyond those achievable with NPH in the absence of nocturnal hypoglycaemia. Insulin glargine appears to be a promising new addition to the insulin family and with increased experience in its use, especially in combination with rapid-acting insulin analogues, its full benefits may be realised. The use of insulin glargine with a rapid-acting insulin analogue brings us the closest we have ever been to providing the physiological insulin replacement that has long been awaited.

Quantitative insulin sensitivity check index: a simple, accurate method for assessing insulin sensitivity in humans

Insulin resistance plays an important role in the pathophysiology of diabetes and is associated with obesity and other cardiovascular risk factors. The "gold standard" glucose clamp and minimal model analysis are two established methods for determining insulin sensitivity in vivo, but neither is easily implemented in large studies. Thus, it is of interest to develop a simple, accurate method for assessing insulin sensitivity that is useful for clinical investigations. We performed both hyperinsulinemic isoglycemic glucose clamp and insulin-modified frequently sampled iv glucose tolerance tests on 28 nonobese, 13 obese, and 15 type 2 diabetic subjects. We obtained correlations between indexes of insulin sensitivity from glucose clamp studies (SI(Clamp)) and minimal model analysis (SI(MM)) that were comparable to previous reports (r = 0.57). We performed a sensitivity analysis on our data and discovered that physiological steady state values [i.e. fasting insulin (I(0)) and glucose (G(0))] contain critical information about insulin sensitivity. We defined a quantitative insulin sensitivity check index (QUICKI = 1/[log(I(0)) + log(G(0))]) that has substantially better correlation with SI(Clamp) (r = 0.78) than the correlation we observed between SI(MM) and SI(Clamp). Moreover, we observed a comparable overall correlation between QUICKI and SI(Clamp) in a totally independent group of 21 obese and 14 nonobese subjects from another institution. We conclude that QUICKI is an index of insulin sensitivity obtained from a fasting blood sample that may be useful for clinical research.

Insulin sensitivity in normal and diabetic cats

Estimates of in vivo insulin sensitivity (S(I)) can be derived from minimal model analysis of a frequently sampled intravenous glucose tolerance test (FSIVGTT). Modification of the FSIVGTT by the injection of insulin allows insulin sensitivity to be measured in diabetics. To establish and compare reference values for insulin sensitivity in clinically normal and diabetic cats, we subjected 10 clinically normal cats and five diabetic cats to the insulin-modified FSIVGTT with minimal model analysis. Diabetic cats had a significantly lower insulin sensitivity than clinically normal cats (P<0.05). Mean insulin sensitivity in clinically normal cats was 3.22x10(-4)/min/microU/ml (range 1.71-5.23x10(-4)/min/microU/ml). In contrast, the mean insulin sensitivity in diabetic cats was 0.58x10(-4)/min/microU/ml (range 0.136-0.88x10(-4)/min/microU/ml), or approximately six times less insulin sensitive than clinically normal cats. Mean glucose effectiveness in clinically normal cats was 0.030/min (range 0.021-0.045/min). Mean glucose effectiveness in diabetic cats was 0.014/min (range 0.008-0.021/min). Our data demonstrate that insulin resistance is a feature of feline diabetes mellitus and that diabetic cats have a similar relative decrease in insulin sensitivity to humans with type 2 diabetes.

Assessment of insulin sensitivity in older adults using the hyperglycemic clamp technique

OBJECTIVE

The euglycemic glucose clamp technique is the gold standard for the measurement of insulin sensitivity in older adults, whereas the hyperglycemic glucose clamp technique is used to assess insulin release. The objective of this study was to evaluate the ability of the hyperglycemic glucose clamp technique to assess insulin sensitivity and insulin release in older people.

RESEARCH DESIGN AND METHODS

Healthy older controls (n = 26, age 72 +/- 1) and older non-insulin-dependent diabetes mellitus (NIDDM) patients (n = 35, age 75 +/- 1) underwent a 2-hour hyperglycemic glucose clamp study (glucose 5.4 mM above basal) and a 3-hour euglycemic clamp study (insulin infusion rate 40 mU/m2/min). The average glucose infusion rate (last 30 minutes) of each clamp was divided by the average insulin value (last 30 minutes). This value was then divided by the average plasma glucose value to give glucose clearance per plasma insulin concentration.

RESULTS

In control subjects (Eug: 0.80 +/- .05 mL/kg/min/pM; Hyper: 0.88 +/- .07 mL/kg/min/pM, P = .357) and NIDDM patients (Eug: 0.48 +/- .03 mL/kg/min/pM; Hyper: 0.42 +/- .03 mL/kg/min/pM, P = .162), glucose clearance values were similar whether calculated from the euglycemic or the hyperglycemic clamp. The correlation between glucose clearance values derived from the euglycemic and hyperglycemic clamp was excellent in normal controls (r = .76, P < .001) and patients with NIDDM (r = .71, P < .001).

CONCLUSIONS

We conclude that the hyperglycemic glucose clamp technique can reliably assess both insulin release and insulin sensitivity in older people.

Assessment of insulin sensitivity with minimal model: role of model assumptions

Insulin sensitivity is frequently assessed with the minimal model (MM) and the insulin-modified intravenous glucose tolerance test (MIVGTT). To ascertain the validity of this approach, the mechanisms by which the MM estimates glucose effectiveness and insulin sensitivity (SG and SI, respectively) from the data are analyzed theoretically. Published data and new labeled MIVGTTs in normal and non-insulin-dependent diabetic (NIDDM) subjects are used as reference data. One reason for the reported difficulty in estimating SI in NIDDM is the inadequacy of the MM to describe the data. SG is a biased estimate of the fractional glucose clearance (FGC) at basal insulin, and SI is a biased estimate of the average slope of the insulin concentration-FGC curve. The monocompartmental assumption and the role of glucose production in the MM are causes of bias. The bias is fairly constant across the spectrum of glucose tolerance (SG: approximately 150% overestimate; SI: approximately 30% underestimate). Also, SI is not expected to account satisfactorily for hepatic insulin sensitivity. Finally, by the use of SG and SI, FGC at a target insulin level (FGCMM) can be estimated. FGCMM agrees well with the analogous clamp index (difference 10%; correlation: r = 0.88, P < 0.002) and, in NIDDM, has a lower coefficient of variation than SI (57 vs. 82%). In conclusion, this analysis indicates that the MM is a sufficiently reliable method for the assessment of insulin sensitivity if it is used cautiously.

Reduced glucose effectiveness associated with reduced insulin release: an artifact of the minimal-model method

We previously demonstrated that minimal model-derived estimates of glucose effectiveness (SG), based on the frequently sampled intravenous glucose tolerance test (SGFSIGT), were reduced in islet-transplanted or streptozotocin-treated dogs and in patients with insulin-dependent diabetes mellitus. To ascertain the validity of our observations, we compared SGFSIGT with estimates based on a basal hormone replacement glucose clamp (SGBRCLAMP) and a basal hormone replacement glucose tolerance test (SGBRGTT) in normal control (CNTL, n = 12) and streptozotocin-treated dogs with normal fasting plasma glucose (STZ-Rx, n = 9). SGFSIGT was reduced in STZ-Rx compared with CNTL (P < 0.05). However, neither SGBRCLAMP nor SGBRGTT was reduced in the STZ-Rx group (P > 0.05). Comparison of protocols for each subject indicated that SGFSIGT was greater than either SGBRCLAMP or SGBRGTT in control (P < 0.002) but not in STZ-Rx dogs (P > 0.1). The relationship of SGFSIGT to insulin secretory function suggests that our previous conclusion that SGFSIGT was reduced in subjects with limited insulin release may be an artifact of the minimal-model method. Our results suggest that caution must be exercised in the interpretation of differences in minimal-model estimates of SG between subject groups with significantly different levels of insulin secretory function.