Comparison between several insulin sensitivity indices and metabolic risk factors in overweight and obese postmenopausal women: a MONET study

Hypothesized pathways for the association of vitamin D status and insulin sensitivity with resting energy expenditure: a cross sectional mediation analysis in Australian adults of European ancestry

Background

The role of vitamin D in human energy expenditure requires confirmation. We explored whether insulin sensitivity (IS)/insulin resistance (IR) mediated the association of vitamin D status (25OHD) on resting energy expenditure (REE).

Methods

REE, body composition (by DEXA) and clinical biochemistry of 155 Australian men and women were collated. A hypothesized mediation pathway through IS/IR on the direct association between 25OHD and REE was modeled, using three surrogate indices of IS/IR: McAuley’s insulin sensitivity index (McA), Quantitative insulin sensitivity check index (QUICKI) and triglyceride to glucose ratio (TYG). The modeling was performed on PROCESS SPSS Macro (version 4.0) based on 5000 bootstrapped samples, with and without the adjustment for covariates.

Results

Unadjusted models indicated a sizeable negative mediation by all IS/IR indices but no significant direct effect of 25OHD on REE. On adjustment for covariates, a negative indirect mediation effect of McA [β coefficient (SE) −2.1(0.821); bootstrapped 95% CI:−3.934, −0.703; p < 0.05] and a similar negative mediation of TYG [−1.935 (0.780); bootstrapped 95% CI: (−3.679, −0.622; p < 0.05] was observed. These models also showed a positive direct effect of 25OHD on REE. In contrast, QUICKI made a smaller contribution to the total effect though in the same direction as the other two measures [−0.783 (0.534); bootstrapped 95% CI: (−1.939, 0.134; P > 0.05].

Conclusions

A sizeable, partial, negative mediation of IS/IR on the direct relationship between 25OHD and REE, dampened the total effect of vitamin D on REE. Validation of the proposed causal framework would clarify vitamin D’s role in human energy metabolism.

Chronic kidney disease and obesity bias surrogate estimates of insulin sensitivity compared with the hyperinsulinemic euglycemic clamp

Insulin sensitivity can be measured by procedures such as the hyperinsulinemic euglycemic clamp or by using surrogate indices. Chronic kidney disease (CKD) and obesity may differentially affect these measurements because of changes in insulin kinetics and organ-specific effects on insulin sensitivity. In a cross-sectional study of 59 subjects with nondiabetic CKD [estimated glomerular filtration rate: (GFR) <60 ml·min^-1·1.73 m²] and 39 matched healthy controls, we quantified insulin sensitivity by clamp (SI_clamp), oral glucose tolerance test, and fasting glucose and insulin. We compared surrogate insulin sensitivity indices to SI_clamp using descriptive statistics, graphical analyses, correlation coefficients, and linear regression. Mean age was 62.6 yr; 48% of the participants were female, and 77% were Caucasian. Insulin sensitivity indices were 8-38% lower in participants with vs. without CKD and 13-59% lower in obese compared with nonobese participants. Correlations of surrogate indices with SI_clamp did not differ significantly by CKD or obesity status. Adjusting for SI_clamp in addition to demographic factors, Matsuda index was 15% lower in participants with vs. without CKD (P = 0.09) and 36% lower in participants with vs. without obesity (P = 0.0001), whereas 1/HOMA-IR was 23% lower in participants with vs. without CKD (P = 0.02) and 46% lower in participants with vs. without obesity (P < 0.0001). We conclude that CKD and obesity do not significantly alter correlations of surrogate insulin sensitivity indices with SI_clamp, but they do bias surrogate measurements of insulin sensitivity toward lower values. This bias may be due to differences in insulin kinetics or organ-specific responses to insulin.

Use of the DISST model to estimate the HOMA and Matsuda indexes using only a basal insulin assay

It is hypothesized that early detection of reduced insulin sensitivity (SI) could prompt intervention that may reduce the considerable financial strain type 2 diabetes mellitus (T2DM) places on global health care. Reduction of the cost of already inexpensive SI metrics such as the Matsuda and HOMA indexes would enable more widespread, economically feasible use of these metrics for screening. The goal of this research was to determine a means of reducing the number of insulin samples and therefore the cost required to provide an accurate Matsuda Index value. The Dynamic Insulin Sensitivity and Secretion Test (DISST) model was used with the glucose and basal insulin measurements from an Oral Glucose Tolerance Test (OGTT) to predict patient insulin responses. The insulin response to the OGTT was determined via population based regression analysis that incorporated the 60-minute glucose and basal insulin values. The proposed method derived accurate and precise Matsuda Indices as compared to the fully sampled Matsuda (R = .95) using only the basal assay insulin-level data and 4 glucose measurements. Using a model employing the basal insulin also allows for determination of the 1-day HOMA value. The DISST model was successfully modified to allow for the accurate prediction an individual's insulin response to the OGTT. In turn, this enabled highly accurate and precise estimation of a Matsuda Index using only the glucose and basal insulin assays. As insulin assays account for the majority of the cost of the Matsuda Index, this model offers a significant reduction in assay cost.

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.

Effects of short-term treatment with orlistat on growth hormone/insulin-like growth factor-I axis in obese post-menopausal women

AIM

Obesity is associated with an altered GH/IGF-I axis status, accounting for the increased cardiovascular risk in obese subjects with GH deficiency. Aim of this randomized, simple-blind, cross-over study was to verify the effectiveness of a short-term treatment with orlistat in reducing non-esterified fatty acid (NEFA) and influencing the endogenous activity of GH/IGF-I axis in obese subjects.

OUTCOME MEASURES

The primary outcome measures were post-prandial lipemia; GH peak after GHRH+arginine; IGF-I; IGF-binding protein (BP)-3, IGF-I/IGFBP-3 ratio. Secondary outcome measures were insulin resistance (IR) indexes (homeostasis model assessment of insulin resistance and Insulin Sensitivity Index).

STUDY DESIGN

Twenty obese post-menopausal women (age: 53.6 ± 6.2; body mass index: 34.1 ± 4.0) were randomized to receive normo-caloric diet plus + orlistat (Roche, UK; 120 mg tid) or normo-caloric diet without the additional treatment. The duration of follow-up was 10 days for each treatment period.

RESULTS

Orlistat induced a weight-independent reduction in post-prandial NEFA levels compared with diet alone, with higher GH peak, IGF-I, and IGF-I/IGFBP3 ratio. GH peak was correlated negatively with postprandial NEFA and positively with IGF-I and IGF-I/IGFBP-3 ratio.

CONCLUSIONS

Orlistat is effective in inducing a weight-independent higher reduction in post-prandial NEFA levels than dietary treatment alone along with increase in GH peak, IGF-I levels, and IGFI/ IGFBP-3 ratio. These results might add a new potential benefit of orlistat in the management of obese subjects.

Circulating osteoprotegerin and soluble receptor activator of nuclear factor κB ligand in polycystic ovary syndrome: relationships to insulin resistance and endothelial dysfunction

OBJECTIVE

There is plenty of evidence that osteoprotegerin (OPG) is linked to subclinical vascular damage and predicts cardiovascular disease in high-risk populations. Our aim is to investigate the relationships of OPG/free soluble receptor activator of nuclear factor κB ligand (sRANKL) to insulin resistance, brachial artery flow-mediated vasodilation (FMD), and the carotid artery intima-media thickness (CIMT) in polycystic ovary syndrome (PCOS), a disorder characterized by hyperandrogenism, impaired glucose control, and endothelial injury.

DESIGN

A cross-sectional, observational study.

METHODS

Hormonal and metabolic profiles, FMD, CIMT, serum OPG, and ampli-sRANKL were assessed in 64 young PCOS patients and 20 controls of similar age. Body composition was measured by dual energy X-ray absorptiometry.

RESULTS

OPG was significantly lower in PCOS and related negatively to free testosterone and positively to estradiol (E(2)) levels. In multivariate analysis, OPG but not ampli-sRANKL correlated positively to fasting insulin, insulin sensitivity indices, and FMD. Neither OPG nor ampli-sRANKL was associated with CIMT. Significantly lower adjusted FMD values were demonstrated in women in the upper OPG quartile group (>2.65 pmol/l) compared with all other quartile groups together (P=0.012). In PCOS, multiple regression analysis retained E(2)/sex hormone-binding globulin ratio, fat mass, and homeostasis model assessment of insulin resistance as independent predictors of OPG.

CONCLUSIONS

In PCOS, circulating OPG is related to both endothelial dysfunction and insulin resistance, independent of obesity and androgen excess, suggesting OPG as a useful biomarker of these effects. Further studies are needed to evaluate OPG in relation to cardiovascular events and cardiovascular mortality in PCOS.