糖尿病不同发展阶段胰岛功能的变化趋势*

目的:研究糖尿病不同发展阶段胰岛素敏感性及胰岛素分泌功能的改变,指导2型糖尿病的早期诊断。方法:57例行OGTT体检者,分为NGT、IGT、IFG+IGT、新诊断T2DM四组,并行IVGTT,采用HOMA-IR评估胰岛素敏感性,采用葡萄糖处置指数[DI1=HOMA-β/HOMA-IR,DI2=ΔI30/ΔG30/HOMA-IR,DI3=MBCI×IAI,DI4=AIR0-10/HOMA-IR]及AUCINS/HOMA-IR评估胰岛素分泌功能。结果:IGT、IFG+IGT、新诊断T2DM组HOMA-IR无统计学差异(P>0.05),均显著高于NGT组(P<0.05)。IGT、IFG+IGT、新诊断T2DM组DI1逐步降低(P<0.05);NGT、IGT组DI1无统计学差异(P>0.05)。NGT、IGT、IFG+IGT、新诊断T2DM组DI2、DI3、DI4逐步降低(P<0.05)。IFG+IGT、新诊断T2DM组OGTTAUCINS/HOMA-IR逐步降低(P<0.05),且显著低于NGT组(P<0.05);NGT、IGT组OGTTAUCINS/HOMA-IR无统计学差异(P>0.05)。结论:(1)IGT阶段胰岛素抵抗及胰岛素1相、早期相分泌功能的下降同时存在。IFG+IGT阶段胰岛素1相、早期相分泌进一步下降,并出现基础相、2相分泌的减少,胰岛素抵抗加重不明显。新诊断T2DM阶段胰岛素各相分泌进一步减少,胰岛素抵抗加重不明显。(2)在T2DM发生过程中,胰岛素分泌功能下降较胰岛素敏感性下降更为明显。(3)胰岛素抵抗及胰岛素1相、早期相分泌功能的下降是T2DM的预测因子。(4)IFG+IGT阶段应积极干预。     

Contribution to glucose tolerance of insulin-independent vs. insulin-dependent mechanisms in mice

To study the contributions of insulin-dependent vs. insulin-independent mechanisms to intravenous glucose tolerance (K(G)), 475 experiments in mice were performed. An intravenous glucose bolus was given either alone or with exogenous insulin or with substances modulating insulin secretion and sensitivity. Seven samples were taken over 50 min. Insulin [suprabasal area under the curve (DeltaAUC(ins))] ranged from 0 to 100 mU. ml(-1). 50 min. After validation against the euglycemic hyperinsulinemic clamp, the minimal model of net glucose disappearance was exploited to analyze glucose and insulin concentrations to measure the action of glucose per se independent of dynamic insulin (S(G)) and the combined effect of insulin sensitivity (S(I)) and secretion. Sensitivity analysis showed that insulin [through disposition index (DI)] contributed to glucose tolerance by 29 +/- 4% in normal conditions. In conditions of elevated hyperinsulinemia, contribution by insulin increased on average to 69%. K(G) correlated with DI but was saturated for DeltaAUC(ins) above 15 mU. ml(-1). 50 min. Insulin sensitivity related to DeltaAUC(ins) in a hyperbolic manner, whereas S(G) did not correlate with the insulin peak in the physiological range. Thus glucose tolerance in vivo is largely mediated by mechanisms unrelated to dynamic insulin and saturates with high insulin.     

Improved beta-cell function after standardized weight reduction in severely obese subjects

Islet function was examined in 13 severely obese women [body mass index 46.4 +/- 5.5 (SD) kg/m(2)] before and after standardized 15 and 25% weight reduction (WR) instituted by bariatric surgery. The insulin response to arginine at fasting (AIR(1)), at 14 mmol/l, and at >25 mmol/l glucose was reduced by 37-50% after 15 and 25% WR (P 相似文献   

Estimation of beta-cell function from the data of the oral glucose tolerance test

Although a hyperbolic relationship between insulin secretion and insulin sensitivity has been shown, the relationship has been often questioned. We examined the relationship using oral glucose tolerance test (OGTT)-derived indexes. A total of 374 Japanese subjects who had never been given a diagnosis of diabetes underwent a 75-g OGTT. In subjects with normal glucose tolerance (NGT), the ln [insulinogenic index (IGI)] was described by a linear function of ln (x) (x, insulin sensitivity index) in regression analysis when the reciprocal of the insulin resistance index in homeostasis model assessment, Matsuda's index, and oral glucose insulin sensitivity index were used as x. Because the 95% confidence interval of the slope of the regression line did not necessarily include -1, the relationships between IGI and x were not always hyperbolic, but power functions IGI x x(alpha) = a constant. We thought that IGI x x(alpha) was an appropriate beta-cell function estimate adjusted by insulin sensitivity and referred to it as beta-cell function index (BI). When Matsuda's index was employed as x, the BI values were decreased in subjects without NGT. Log BI had a better correlation with fasting plasma glucose (PG; FPG) and 2-h PG in non-NGT subjects than in NGT subjects. In subjects with any glucose tolerance, log BI was linearly correlated with 1-h PG and glucose spike (the difference between maximum PG and FPG). In conclusion, the relationship between insulin secretion and insulin sensitivity was not always hyperbolic. The BI is a useful tool in the estimation of beta-cell function with a mathematical basis.     

Simultaneous measurement of insulin sensitivity, insulin secretion, and the disposition index in conscious unhandled mice

Of the parameters that determine glucose disposal and progression to diabetes in humans: first-phase insulin secretion, glucose effectiveness (Sg), insulin sensitivity (Si), and the disposition index (DI), only Si can be reliably measured in conscious mice. To determine the importance of the other parameters in murine glucose homeostasis in lean and obese states, we developed the frequently sampled intravenous glucose tolerance test (FSIVGTT) for use in unhandled mice. We validated the conscious FSIVGTT against the euglycemic clamp for measuring Si in lean and obese mice. Insulin-resistant mice had increased first-phase insulin secretion, decreased Sg, and a reduced DI, qualitatively similar to humans. Intriguingly, although insulin secretion explained most of the variation in glucose disposal in lean mice, Sg and the DI more strongly predicted glucose disposal in obese mice. DI curves identified individual diet-induced obese (DIO) mice as having compensated or decompensated insulin secretion. Conscious FSIVGTT opens the door to apply mouse genetics to the determinants of in vivo insulin secretion, Sg, and DI, and further validates the mouse as a model of metabolic disease.     

Hyperbolic relationship between insulin secretion and sensitivity on oral glucose tolerance test

The utility of the disposition index as a measure of beta-cell compensatory capacity rests on the established hyperbolic relationship between its component insulin secretion and sensitivity measures as derived from the intravenous glucose tolerance test (IVGTT). If one is to derive an analogous measure of beta-cell compensation from the oral glucose tolerance test (OGTT), it is thus necessary to first establish the existence of this hyperbolic relationship between OGTT-based measures of insulin secretion and insulin sensitivity. In this context, we tested five OGTT-based measures of secretion (insulinogenic index, Stumvoll first phase, Stumvoll second phase, ratio of total area-under-the-insulin-curve to area-under-the-glucose-curve (AUC(ins/gluc)), and incremental AUC(ins/gluc)) with two measures of sensitivity (Matsuda index and 1/Homeostasis Model of Assessment for insulin resistance (HOMA-IR)). Using a model of log(secretion measure) = constant + beta x log(sensitivity measure), a hyperbolic relationship can be established if beta is approximately equal to -1, with 95% confidence interval (CI) excluding 0. In 277 women with normal glucose tolerance (NGT), the pairing of total AUC(ins/gluc) and Matsuda index was the only combination that satisfied these criteria (beta = -0.99, 95% CI (-1.66, -0.33)). This pairing also satisfied hyperbolic criteria in 53 women with impaired glucose tolerance (IGT) (beta = -1.02, (-1.72, -0.32)). In a separate data set, this pairing yielded distinct hyperbolae for NGT (n = 245) (beta = -0.99, (-1.67, -0.32)), IGT (n = 116) (beta = -1.18, (-1.84, -0.53)), and diabetes (n = 43) (beta = -1.37, (-2.46, -0.29)). Moreover, the product of AUC(ins/gluc) and Matsuda index progressively decreased from NGT (212) to IGT (193) to diabetes (104) (P < 0.001), consistent with declining beta-cell function. In summary, a hyperbolic relationship can be demonstrated between OGTT-derived AUC(ins/gluc) and Matsuda index across a range of glucose tolerance. Based on these findings, the product of these two indices emerges as a potential OGTT-based measure of beta-cell function.     

Minimal model: perspective from 2005

The minimal model was proposed over 25 years ago. Despite (or because of) its simplicity it continues to be used today - both as a clinical tool and an approach to understanding the composite effects of insulin secretion and insulin sensitivity on glucose tolerance and risk for type 2 diabetes mellitus. The original assumptions of the model have led to an understanding of the kinetics of insulin in vivo, as well as the relative importance of beta-cell compensatory failure in the pathogenesis of diabetes. The disposition index (DI), a parameter emerging from the model, represents the ability of the pancreatic islets to compensate for insulin resistance. There is evidence that a locus on chromosome 11 codes for the DI, which has a significant heritability and can predict type 2 diabetes better than any known genetic locus. Even today, the model continues to be a subject of scientific discovery and discourse.     

Insufficient islet compensation to insulin resistance vs. reduced glucose effectiveness in glucose-intolerant mice

This study evaluated the relative contribution of insulin-dependent mechanisms vs. mechanisms independent on dynamic insulin for glucose intolerance induced by high-fat diet. C57BL/6J mice underwent a frequently sampled intravenous glucose tolerance test (1 g/kg glucose) at 1 wk and 1, 3, and 10 mo after initiation of a high-fat diet (58% fat; control diet 11% fat) to measure glucose effectiveness (S(G)) and disposition index (DI), i.e., insulin sensitivity (S(I)) times early or total insulin secretion. Glucose disappearance (K(G)) and S(I) were reduced in high-fat-fed mice at all time points. Total (50 min) insulin secretion was sufficiently increased at all time points to compensate for the reduced S(I), as judged by normal DI(50) (min). In contrast, early (10 min) insulin secretion was not sufficiently increased; DI(10) (min) was reduced after 1, 3, and 10 mo. S(G) was reduced after 1 wk; the reduction persisted throughout the study period. Thus glucose intolerance induced by high-fat diet is, in early phases, solely explained by reduced glucose effectiveness, whereas insufficient early insulin secretion is of importance after long-term feeding.     

Population approaches to estimate minimal model indexes of insulin sensitivity and glucose effectiveness using full and reduced sampling schedules

The intravenous glucose tolerance test (IVGTT) interpreted with the minimal model provides individual indexes of insulin sensitivity (S(I)) and glucose effectiveness (S(G)). In population studies, the traditional approach, the standard two-stage (STS) method, fails to account for uncertainty in individual estimates, resulting in an overestimation of between-subject variability. Furthermore, in the presence of reduced sampling and/or insulin resistance, individual estimates may be unobtainable, biasing population information. Therefore, we investigated the use of two population approaches, the iterative two-stage (ITS) method and nonlinear mixed-effects modeling (NM), in a population (n = 235) of insulin-sensitive and insulin-resistant subjects under full (FSS, 33 samples) and reduced [RSS(240-min), 13 samples and RSS(180-min), 12 samples] IVGTT sampling schedules. All three population methods gave similar results with the FSS. Using RSS(240), the three methods gave similar results for S(I), but S(G) population means were overestimated. With RSS(180), S(I) and S(G) population means were higher for all three methods compared with their FSS counterparts. NM estimated similar between-subject variability (19% S(G), 53% S(I)) with RSS(180), whereas ITS showed regression to the mean for S(G) (0.01% S(G), 56% S(I)) and STS provided larger population variability in S(I) (29% S(G), 91% S(I)). NM provided individual estimates for all subjects, whereas the two-stage methods failed in 16-18% of the subjects using RSS(180) and 6-14% using RSS(240). We conclude that population approaches, specifically NM, are useful in studies with a sparsely sampled IVGTT ( approximately 12 samples) of short duration ( approximately 3 h) and when individual parameter estimates in all subjects are desired.     

Comparison of several insulin sensitivity indices derived from basal plasma insulin and glucose levels with minimal model indices.

Some techniques for the evaluation of insulin resistance (IR), such as the clamp technique, are not viable for the study of large populations; and for this reason, alternative approaches based on fasting plasma glucose (FPG) and plasma insulin (FPI) have been proposed. The aim of this study was to compare the IR calculations obtained from FPI and FPG values with the insulin sensitivity (IS) index derived from the minimal model. Eighty-seven healthy subjects with a wide range of body mass index (18 - 44 kg x m -2) and 16 DM2 non-obese patients were included in the study. All of the patients underwent a frequently sampled intravenous glucose tolerance test (FSIGTT), and the minimal model of glucose was used for the estimation of insulin sensitivity (IS MINIMAL ). The HOMA-IR index, the Avignon index, and the quotient FPG/FPI were used to calculate basal steady-state IR. The basal IR value that best correlated with IS was Log (1/HOMA-IR) (r = 0.70, p < 0.001). All of the basal indices showed a high correlation with each other. In conclusions, insulin sensitivity indices as determined from the basal glycaemia and insulinemia values are not good estimators for metabolic reality from the perspective of the minimal model. Nevertheless, they might well have an IR screening value for epidemiological studies, as long as there is no pancreatic beta-cell dysfunction.     

Effects of pioglitazone and metformin on beta-cell function in nondiabetic subjects at high risk for type 2 diabetes

Thiazolidinediones (TZDs) and metformin decreased the incidence of diabetes in subjects at risk for developing diabetes and improved peripheral or hepatic insulin sensitivity, respectively. Whether they also directly improved beta-cell function is not clear. In vitro studies showed improved beta-cell function in response to TZDs and metformin; however, the effects of TZDs or metformin on beta-cell function in humans are still uncertain. We hypothesized that both TZDs and metformin directly affect beta-cell function. We evaluated beta-cell function and insulin sensitivity (S(I)) in subjects with impaired glucose tolerance or a history of gestational diabetes using oral and intravenous glucose tolerance tests in addition to the glucose-potentiated arginine stimulation test. In contrast to metformin, pioglitazone improved S(I), glucose tolerance, and insulin-independent glucose disposal [glucose effectiveness (S(G))]. Neither pioglitazone nor metformin significantly improved beta-cell compensation for insulin resistance [disposition index (DI)], but the change in DI significantly correlated with baseline S(I). Insulin secretion in response to arginine at maximally potentiating glucose levels (AIR(max)) tended to increase after metformin and to decrease after pioglitazone; however, when adjusted for S(I), the changes were not significant. Our results demonstrate that, in nondiabetic subjects at risk for diabetes, pioglitazone, but not metformin, significantly improved glucose tolerance by improving S(I) and S(G). We did not find any evidence that either pioglitazone or metformin improved beta-cell function. Improved beta-cell compensation was observed primarily in the subgroup of subjects that had the lowest S(I) at baseline.     

The MTMR9 rs2293855 polymorphism is associated with glucose tolerance,insulin secretion,insulin sensitivity and increased risk of prediabetes

Background

Polymorphism of rs2293855 in gene MTMR9 has been associated with obesity and metabolic syndrome. We aim to study the association of rs2293855 with type 2 diabetes mellitus (T2DM) intermediate phenotypes in a Han Chinese population.

Methods

The polymorphism was genotyped in 838 Han Chinese individuals using Matrix-Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS); all participants underwent a 75 g oral glucose tolerance test (OGTT); associations between the polymorphism and glucose tolerance, indices of insulin secretion and indices of insulin sensitivity were analyzed.

Results

The frequency of genotypes and alleles differed significantly between normal glucose tolerance and prediabetes (P = 0.043 and P = 0.009, respectively). The GG homozygous presented higher fasting plasma glucose (P = 0.009), higher 2-hour plasma glucose (P = 0.024) and higher glucose area under the curve (AUC, P = 0.01). Moreover, the G allele of rs2293855 was associated with glucose intolerance (fasting glucose, P = 0.012; glucose AUC, P = 0.006; 2-h glucose, P = 0.024); it is also associated with decreased indices of insulin sensitivity (fasting insulin, P = 0.043; insulin sensitivity index composite, P = 0.009; homeostasis model assessment of insulin resistance, HOMA-IR, P = 0.008) and decreased indices of insulin secretion (HOMA of beta cell function, HOMA-B, P = 0.028; insulinogenic index, P = 0.003). In addition, the minor allele G was also associated with increased risk of prediabetes (OR = 1.463, 95%CI: 1.066–2.009, P = 0.018).

Conclusions

Polymorphism of rs2293855 in MTMR9 is associated with measures of glucose tolerance, indices of insulin secretion and indices of insulin sensitivity. We also suggest that allele G is likely to increase the risk of prediabetes by influencing both insulin secretion and insulin sensitivity.     

OGTT-derived measures of insulin sensitivity are confounded by factors other than insulin sensitivity itself

Insulin resistance is an important risk factor for diabetes and other diseases. It has been important to estimate insulin resistance in epidemiological and genetic studies involving significant number of individuals. Complex and invasive protocols are impractical. Therefore, insulin sensitivity indices based on the oral glucose-tolerance test (OGTT) have been introduced. The aim of the present study was to assess the accuracy with which OGTT-derived indices would reflect changes in insulin sensitivity in the face of changes in other factors, such as rate of glucose absorption and/or B-cell function. A computer model was employed to predict excursions of plasma glucose and insulin after a 75-g oral glucose load. The model was then used to predict changes in these excursions, which would be observed with altered insulin resistance, with alterations in beta-cell sensitivity to glucose and/or alterations in glucose absorption rates. Published indices of insulin sensitivity could then be calculated from the predicted curves, to ask whether changes in beta-cell function or glucose absorptions rates might be misinterpreted (using the indices) as changes in insulin sensitivity. The model accurately represented OGTT data for a normal glucose tolerant subject, closely matching published data. Imposed 50% reductions or increases in insulin sensitivity alone in the model were reflected in only small changes in OGTT-derived insulin sensitivity values. More important, imposed alterations in beta-cell sensitivity and glucose absorption without simulated changes in insulin sensitivity did change insulin sensitivity indices. These results indicate that caution is required for the interpretation of differences in OGTT-derived values of insulin sensitivity, because variation in factors other than insulin sensitivity per se appear to have the greatest effects on indices calculated from the OGTT alone.     

Investigating the Effect of Recruitment Variability on Length-Based Recruitment Indices for Antarctic Krill Using an Individual-Based Population Dynamics Model

Antarctic krill (Euphausia superba; herein krill) is monitored as part of an on-going fisheries observer program that collects length-frequency data. A krill feedback management programme is currently being developed, and as part of this development, the utility of data-derived indices describing population level processes is being assessed. To date, however, little work has been carried out on the selection of optimum recruitment indices and it has not been possible to assess the performance of length-based recruitment indices across a range of recruitment variability. Neither has there been an assessment of uncertainty in the relationship between an index and the actual level of recruitment. Thus, until now, it has not been possible to take into account recruitment index uncertainty in krill stock management or when investigating relationships between recruitment and environmental drivers. Using length-frequency samples from a simulated population – where recruitment is known – the performance of six potential length-based recruitment indices is assessed, by exploring the index-to-recruitment relationship under increasing levels of recruitment variability (from ±10% to ±100% around a mean annual recruitment). The annual minimum of the proportion of individuals smaller than 40 mm (F40 min, %) was selected because it had the most robust index-to-recruitment relationship across differing levels of recruitment variability. The relationship was curvilinear and best described by a power law. Model uncertainty was described using the 95% prediction intervals, which were used to calculate coverage probabilities and assess model performance. Despite being the optimum recruitment index, the performance of F40 min degraded under high (>50%) recruitment variability. Due to the persistence of cohorts in the population over several years, the inclusion of F40 min values from preceding years in the relationship used to estimate recruitment in a given year improved its accuracy (mean bias reduction of 8.3% when including three F40 min values under a recruitment variability of 60%).     

Genetic predisposition to type 2 diabetes is associated with impaired insulin secretion but does not modify insulin resistance or secretion in response to an intervention to lower dietary saturated fat

Genome-wide association studies have identified SNPs reproducibly associated with type 2 diabetes (T2D). We examined the effect of genetic predisposition to T2D on insulin sensitivity and secretion using detailed phenotyping in overweight individuals with no diagnosis of T2D. Furthermore, we investigated whether this genetic predisposition modifies the responses in beta-cell function and insulin sensitivity to a 24-week dietary intervention. We genotyped 25 T2D-associated SNPs in 377 white participants from the RISCK study. Participants underwent an IVGTT prior to and following a dietary intervention that aimed to lower saturated fat intake by replacement with monounsaturated fat or carbohydrate. We composed a genetic predisposition score (T2D-GPS) by summing the T2D risk-increasing alleles of the 25 SNPs and tested for association with insulin secretion and sensitivity at baseline, and with the change in response to the dietary intervention. At baseline, a higher T2D-GPS was associated with lower acute insulin secretion (AIRg 4% lower/risk allele, P = 0.006) and lower insulin secretion for a given level of insulin sensitivity, assessed by the disposition index (DI 5% lower/risk allele, P = 0.002), but not with insulin sensitivity (Si). T2D-GPS did not modify changes in insulin secretion, insulin sensitivity or the disposition index in response to the dietary interventions to lower saturated fat. Participants genetically predisposed to T2D have an impaired ability to compensate for peripheral insulin resistance with insulin secretion at baseline, but this does not modify the response to a reduction in dietary saturated fat through iso-energetic replacement with carbohydrate or monounsaturated fat.

Electronic supplementary material

The online version of this article (doi:10.1007/s12263-012-0284-8) contains supplementary material, which is available to authorized users.     

Regulation of K(ATP) channel by 17β-estradiol in pancreatic β-cells

ATP-sensitive potassium channels (K_ATP) regulate electrical activity and insulin secretion in pancreatic β-cells. When glucose concentration increases, the [ATP]/[ADP] ratio rises closing K_ATP channels, and the membrane potential depolarizes, triggering insulin secretion. This pivotal role of K_ATP channels is used not only by glucose but also by neurotransmitters, hormones and other physiological agents to modulate electrical and secretory β-cell response.In recent years, it has been demonstrated that estrogens and estrogen receptors are involved in glucose homeostasis, and that they can modulate the electrical activity and insulin secretion of pancreatic β-cells. The hormone 17β-estradiol (E2), at physiological levels, is implicated in maintaining normal insulin sensitivity for β-cell function. Long term exposure to E2 increases insulin content, insulin gene expression and insulin release via the estrogen receptor α (ERα), while rapid responses to E2 can regulate K_ATP channels increasing cGMP levels through the estrogen receptor β (ERβ) and type A guanylate cyclase receptor (GC-A). This review summarizes the main actions of 17β-estradiol on K_ATP channels and the subsequent insulin release in pancreatic β-cells.     

Studies on the dynamics and mechanism of glibenclamide-induced insulin secretion.

Sustained, 60-minute perfusion of glibenclamide (0.5, 1.5 and 10 mug/ml) elicits a one-phase insulin release profile, formed by a rapid secretion peak followed by a second peak with lower insulin levels than the former. Basal insulin secretion values are observed during the period comprised between 13 and 60 minutes of perfusion. Concurrent stimulation with glucose (100, 150, 200 and 300 mg%) plus glibenclamide (1 mug/ml) causes a marked rise in both phases of insulin secretion. The addition of glibenclamide does not modify the biphasic secretion pattern caused by maximal glucose concentration (400 mg%). The maximal values of both phases of secretion in the dose-response curve elicited by different glucose concentrations shift to the left when glibenclamide is added to the perfusate. The increase in insulin secretion caused by glibenclamide is not inhibited by puromycin. Both theophylline and phentolamine modify and increase the glibenclamide-induced insulin release pattern. Propranolol and imidazole inhibit glibenclamide-induced insulin release. Our results suggest that: 1. Glibenclamide increases beta cell sensitivity to glucose stimulation. 2. Glibenclamide and glucose induce secretion of insulin originating in the same compartment. 3. Modification of alpha and beta adrenergic receptors may modify glibodulate the beta cell response to glibenclamide.     

Sleep habits,circadian preferences and substance use in a Mexican population: the use of the Morningness-Eveningness-Stability-Scale improved (MESSi)

ABSTRACT

This study aimed to validate the Morningness-Eveningness-Stability-Scale improved (MESSi) in Mexico, analyzing the factor structure and sleep habits, combined with the proposal of cutoff values for the scales, and to assess the relationship with substance use. We applied the questionnaires through an online survey to a total sample of 510 Mexicans, aged 18–77 years (M = 27.79, SD = 10.24). The MESSi showed an acceptable fit and the Cronbach’s alpha coefficients were good to satisfactory in the Mexican sample in every subscale: Morning Affect (MA, α = 0.90), Eveningness (EV, α = 0.88), Distinctness (DI, α = 0.80). In order to obtain a better interpretation of the MESSi subscales, we decided to propose cutoff points corresponding to the 25th–75th percentile. The categories were depicted as strong trait presence, intermediate trait presence and weak trait presence. When applying the cutoff points for the MESSi sub-scales, with Morning Affect (MA), strong-types went to bed and woke up earlier and had more sleep than weak-types during weekdays and weekends and reported less social jetlag. For Eveningness (EV), strong-types went to bed and woke up later than weak-types on weekdays and weekends. Also, strong-types had a shorter time in bed during weekdays but not on weekends and reported more social jetlag. Lastly, with Distinctness (DI), the results reported that those with a strong-type showed greater amplitude on weekdays and weekends. Furthermore, the MESSi scale found that evening people consumed more alcohol and tobacco. Our study supported the validity and reliability of the MESSi in a Mexican population and the relationship between eveningness and substance consumption. Furthermore, the proposed cutoff scores for the MESSi sub-scales add a novel approach for the measurement and interpretation of the scale.     

Limited predictive ability of surrogate indices of insulin sensitivity/resistance in Asian-Indian men

Insulin resistance is highly prevalent in Asian Indians and contributes to worldwide public health problems, including diabetes and related disorders. Surrogate measurements of insulin sensitivity/resistance are used frequently to study Asian Indians, but these are not formally validated in this population. In this study, we compared the ability of simple surrogate indices to accurately predict insulin sensitivity as determined by the reference glucose clamp method. In this cross-sectional study of Asian-Indian men (n = 70), we used a calibration model to assess the ability of simple surrogate indices for insulin sensitivity [quantitative insulin sensitivity check index (QUICKI), homeostasis model assessment (HOMA2-IR), fasting insulin-to-glucose ratio (FIGR), and fasting insulin (FI)] to predict an insulin sensitivity index derived from the reference glucose clamp method (SI(Clamp)). Predictive accuracy was assessed by both root mean squared error (RMSE) of prediction as well as leave-one-out cross-validation-type RMSE of prediction (CVPE). QUICKI, FIGR, and FI, but not HOMA2-IR, had modest linear correlations with SI(Clamp) (QUICKI: r = 0.36; FIGR: r = -0.36; FI: r = -0.27; P < 0.05). No significant differences were noted among CVPE or RMSE from any of the surrogate indices when compared with QUICKI. Surrogate measurements of insulin sensitivity/resistance such as QUICKI, FIGR, and FI are easily obtainable in large clinical studies, but these may only be useful as secondary outcome measurements in assessing insulin sensitivity/resistance in clinical studies of Asian Indians.     

Inter‐individual variability in dispersal behaviours impacts connectivity estimates

The importance of landscape connectivity in determining biodiversity outcomes under environmental change has led to indices of connectivity becoming amongst the most widely used measures in conservation. Thus, it is vital that our understanding of connectivity and our use of indices describing it are reliable. Dispersal is the key ecological process involved in determining connectivity, and there is increasing evidence of substantial within‐population variability in dispersal behaviours. Here, we incorporate this inter‐individual variability into two approaches for estimating connectivity, least cost path analysis and stochastic movement simulation. Illustrative results demonstrate that including dispersal variability can yield substantially different estimates of connectivity. While connectivity is typically similar between nearby patches, the frequency of movements between patches further apart is often substantially increased when inter‐individual variability is included. Given the disproportionate role that unusual long‐distance dispersal events play in spatial dynamics, connectivity indices should seek to incorporate variability in dispersal behaviour.