Validation of insulin resistance indexes in a stable renal transplant population

Homeostatic Model Assessment in Kidney Transplantation

INTRODUCTION

Long-term kidney transplantation survival has been limited to cardiovascular-disease-associated death, which may be related to insulin resistance. The aim of this study is to evaluate the association between homeostatic model assessment (HOMA) and renal graft function.

MATERIALS AND METHODS

From January 2013 to March 2015, 55 nondiabetic kidney recipients were reviewed retrospectively with their baseline fasting serum insulin and glucose levels as the basis the following indexes: 1. HOMA insulin resistance (HOMA-IR), 2. HOMA-β, and 3. insulin-glucose ratio (IGR). These patients were divided into 2 groups according to their HOMA indexes, and the serum creatinine (Cr) and estimated glomerular filtration rate (eGFR) were analyzed on the basis of every 6 months up to 3 years after kidney transplantation. Finally, we evaluate whether these HOMA indexes are a determinant factor of eGFR at post-transplant 1 year, 2 year, and 3 year.

RESULTS

There was no persisting difference in Cr and eGFR between high- and low-HOMA indexes except that the Cr and eGFR difference by HOMA-β stratification increased with time and became nearly significant at 3 years after transplantation. Further univariate and multivariate linear regression models showed no factor affected the 1-year eGFR independently, while weight affected the 2-year eGFR and only HOMA-β affected the 3-year eGFR independently.

CONCLUSION

In non-diabetic kidney recipients, the eGFR difference between high- and low-HOMA-β patients increases over time. In multivariate linear regression, HOMA-β, but not HOMA-IR nor IGR, has independent significant association with eGFR at 3 years after transplantation.

Randomized Controlled Trial Assessing the Impact of Tacrolimus Versus Cyclosporine on the Incidence of Posttransplant Diabetes Mellitus

INTRODUCTION

Despite the high incidence of posttransplant diabetes mellitus (PTDM) among high-risk recipients, no studies have investigated its prevention by immunosuppression optimization.

METHODS

We conducted an open-label, multicenter, randomized trial testing whether a tacrolimus-based immunosuppression and rapid steroid withdrawal (SW) within 1 week (Tac-SW) or cyclosporine A (CsA) with steroid minimization (SM) (CsA-SM), decreased the incidence of PTDM compared with tacrolimus with SM (Tac-SM). All arms received basiliximab and mycophenolate mofetil. High risk was defined by age >60 or >45 years plus metabolic criteria based on body mass index, triglycerides, and high-density lipoprotein-cholesterol levels. The primary endpoint was the incidence of PTDM after 12 months.

RESULTS

The study comprised 128 de novo renal transplant recipients without pretransplant diabetes (Tac-SW: 44, Tac-SM: 42, CsA-SM: 42). The 1-year incidence of PTDM in each arm was 37.8% for Tac-SW, 25.7% for Tac-SM, and 9.7% for CsA-SM (relative risk [RR] Tac-SW vs. CsA-SM 3.9 [1.2-12.4; P = 0.01]; RR Tac-SM vs. CsA-SM 2.7 [0.8-8.9; P = 0.1]). Antidiabetic therapy was required less commonly in the CsA-SM arm (P = 0.06); however, acute rejection rate was higher in CsA-SM arm (Tac-SW 11.4%, Tac-SM 4.8%, and CsA-SM 21.4% of patients; cumulative incidence P = 0.04). Graft and patient survival, and graft function were similar among arms.

CONCLUSION

In high-risk patients, tacrolimus-based immunosuppression with SM provides the best balance between PTDM and acute rejection incidence.

Liver Enzymes and the Development of Posttransplantation Diabetes Mellitus in Renal Transplant Recipients

BACKGROUND

Posttransplantation diabetes mellitus (PTDM) is common in renal transplant recipients (RTR), increasing the risk of graft failure, cardiovascular disease, and mortality. Early detection of a high risk for PTDM is warranted. Because liver function and liver fat are involved, we investigated whether serum liver markers are associated with future PTDM in RTR.

METHODS

Between 2001 and 2003, 606 RTR with a functioning allograft beyond the first year after transplantation were included of which 500 participants (56% men; age, 50 ± 12 years) were free of diabetes at baseline and had liver enzyme values (1 missing) available. Serum concentrations of alanine aminotransferase (ALT), gamma-glutamyl transferase (GGT), alkaline phosphatase were measured at baseline at 6.0 (6.2-11.5) years posttransplantation. PTDM cases were recorded until April 2012.

RESULTS

During median follow-up for 9.6 years (interquartile range [IQR], 6.2-10.2) beyond baseline, 76 (15.2%) patients developed PTDM. Comparing the highest to the lower tertiles, higher liver enzyme activities were significantly related to incident PTDM for ALT (hazard ratio [HR], 2.22; IQR, 1.42-3.48), for GGT (HR, 2.93; IQR, 1.87-4.61), and for alkaline phosphatase (HR, 1.78; IQR, 1.13-2.80). The associations of ALT and GGT with development of PTDM were independent of potential confounders and risk factors, including age, sex, renal function, medication use, lifestyle factors, adiposity, presence of the metabolic syndrome, fasting glucose, HbA1c, proinsulin, and cytomegalovirus status.

CONCLUSIONS

Markers for liver function and liver fat in the subclinical range are potential markers for future PTDM, independent of other known risk factors. This may allow for early detection and management of PTDM development.

Methods of Measuring Insulin Sensitivity

Insulin resistance is a component of several health disorders, most notably impaired glucose tolerance and type 2 diabetes mellitus. Insulin-resistant individuals have an impaired biological response to the usual action of insulin; that is, they have reduced insulin sensitivity. Various methods are used to assess insulin sensitivity both in individuals and in study populations. Validity, reproducibility, cost, and degree of subject burden are important factors for both clinicians and researchers to consider when weighing the merits of a particular method. This article describes several in vivo methods used to assess insulin sensitivity and presents the advantages and disadvantages of each.

Association of metabolic syndrome with serum fibroblast growth factor 21 in kidney transplanted patients

INTRODUCTION

Fibroblast growth factor 21 (FGF21) is a metabolic regulator with multiple beneficial effects on glucose and lipid homeostasis and insulin sensitivity.

OBJECTIVES

The aim of this study was to investigate the relation between the serum level of FGF21 with and metabolic syndrome (MS) in kidney transplant recipients.

PATIENTS AND METHODS

We performed a cross-sectional study on 86 stable renal transplant recipients to detect possible relation between serum FGF21 level and MS during October 2014 and Mach 2015. Patients with past history of diabetes mellitus were excluded.

RESULTS

There were 43 patients in each group with and without MS. Totally, they were 52 (60.5%) male and 34 (39.5%) female. The mean age of the MS group was significantly higher than that of non-MS group. There was not significant difference between mean serum creatinine level and glomerular filtration rate (GFR) between two groups (P > 0.05). The MS patients had higher weight and body mass index (BMI) (P < 0.05). The prevalence of BMI >25 kg/m(2) in MS group was 25 (58.8%) versus non-MS group that only 10 (23.3%) had this condition (P < 0.05). The mean of FGF21 level in MS and non-MS groups was 1.23 ± 0.67 ng/l and 1.18 ± 0.71 ng/l, respectively (P > 0.05). There was not significant difference of serum FGF21 level between MS and non-MS patients (P > 0.05).

CONCLUSION

While the elevated serum FGF21 level was found in subjects with insulin resistant states, however, this study revealed that serum FGF21 levels were not significantly increased in renal transplanted recipients with MS as compared with non-MS group.

Sitagliptin might be a favorable antiobesity drug for new onset diabetes after a renal transplant

OBJECTIVES

The aim of this study was to evaluate the effectiveness of sitagliptin, alone or in combination with metformin, in kidney transplant patients with newly diagnosed new-onset diabetes mellitus after transplant who had inadequate glycemic control, compared with a group of patients receiving insulin glargine with special emphasis on weight gain.

MATERIALS AND METHODS

Newly diagnosed renal transplant patients with new-onset diabetes mellitus after a transplant was defined by a blood glucose ≥ 11.1 mmol/L after an oral glucose tolerance test were examined. They were treated with standard immunosuppression composed of triple therapy with tacrolimus or cyclosporine, mycophenolate mofetil or azathioprine, and prednisone. They had stable graft function for more than 6 months after the transplant.

RESULTS

Patients with new-onset diabetes mellitus after transplant (n=28) whose glycemia was not controlled adequately with oral hypoglycemic agents (either alone or in combination) received oral sitagliptin 100 mg once daily in addition to existing therapy for 12 weeks. Patients who received insulin glargine as add-on therapy (n=17) served as the control group. Data analyses included glycated hemoglobin, fasting plasma glucose, lipid profile, body weight, and the occurrence of hypoglycemia. We found significant reductions in glycated hemoglobin and fasting plasma glucose values after 12 weeks of additional sitagliptin therapy that were comparable to those with insulin glargine. While the addition of stagliptin resulted in a small weight loss (0.4 kg), the addition of insulin glargine resulted in a weight gain (0.8 kg). The overall incidence of adverse experiences was low and generally mild in both groups.

CONCLUSIONS

In a group of renal transplant recipients with new-onset diabetes mellitus after a transplant in whom glycemia was not controlled adequately by oral hypoglycemic agents, the addition of sitagliptin helped to achieve glycemic control similar to insulin glargine but with a marginal weight advantage.

Validation of insulin sensitivity surrogate indices and prediction of clinical outcomes in individuals with and without impaired renal function

As chronic kidney disease (CKD) progresses with abnormalities in glucose and insulin metabolism, commonly used insulin sensitivity indices (ISIs) may not be applicable in individuals with CKD. Here we sought to validate surrogate ISIs against the glucose disposal rate by the gold-standard hyperinsulinemic euglycemic glucose clamp (HEGC) technique in 1074 elderly men of similar age (70 years) of whom 495 had and 579 did not have CKD (estimated glomerular filtration rate (eGFR) under 60 ml/min per 1.73 m(2) (median eGFR of 46 ml/min per 1.73 m(2))). All ISIs provided satisfactory (weighted κ over 0.6) estimates of the glucose disposal rate in patients with CKD. ISIs derived from oral glucose tolerance tests (OGTTs) agreed better with HEGC than those from fasting samples (higher predictive accuracy). Regardless of CKD strata, all ISIs allowed satisfactory clinical discrimination between the presence and absence of insulin resistance (glucose disposal rate under 4 mg/kg/min). We also assessed the ability of both HEGC and ISIs to predict all-cause and cardiovascular mortality during a 10-year follow-up. Neither HEGC nor ISIs independently predicted mortality. Adjustment for renal function did not materially change these associations. Thus, ISIs can be applied in individuals with moderately impaired renal function for diagnostic purposes. For research matters, OGTT-derived ISIs may be preferred. Our data do not support the hypothesis of kidney function mediating insulin sensitivity (IS)-associated outcomes nor a role for IS as a predictor of mortality.

Pancreatic β-cell dysfunction and risk of new-onset diabetes after kidney transplantation

OBJECTIVE

Chronic exposure to calcineurin inhibitors and corticosteroids poses renal transplant recipients (RTR) at high risk for development of new-onset diabetes after transplantation (NODAT). Pancreatic β-cell dysfunction may be crucial to the pathophysiology of NODAT and specific markers for β-cell dysfunction may have additive value for predicting NODAT in this population. Therefore, we prospectively investigated whether proinsulin, as a marker of pancreatic β-cell dysfunction, is associated with future development of NODAT and improves prediction of it.

RESEARCH DESIGN AND METHODS

All RTR between 2001 and 2003 with a functioning graft for ≥1 year were considered eligible for inclusion, except for subjects with diabetes at baseline who were excluded. We recorded incidence of NODAT until April 2012.

RESULTS

A total of 487 RTR (age 50 ± 12 years, 55% men) participated at a median time of 6.0 (interquartile range [IQR], 2.6-11.5) years after transplantation. Median fasting proinsulin levels were 16.6 (IQR, 11.0-24.2) pmol/L. During median follow-up for 10.1 (IQR, 9.1-10.4) years, 42 (35%) RTR had development of NODAT in the highest quartile of the distribution of proinsulin versus 34 (9%) in the lowest three quartiles (P < 0.001). In Cox regression analyses, proinsulin (hazard ratio, 2.29; 95% CI, 1.85-2.83; P < 0.001) was strongly associated with NODAT development. This was independent of age, sex, calcineurine inhibitors, prednisolone use, components of the metabolic syndrome, or homeostasis model assessment.

CONCLUSIONS

In conclusion, fasting proinsulin is strongly associated with NODAT development in RTR. Our results highlight the role of β-cell dysfunction in the pathophysiology of NODAT and indicate the potential value of proinsulin for identification of RTR at increased risk for NODAT.

Role of insulin resistance indices in predicting new-onset diabetes after kidney transplantation

New-onset diabetes mellitus (NODAT) is a serious complication following renal transplantation. In this cohort study, we studied 118 nondiabetic renal transplant recipients to examine whether indices of insulin resistance and secretion calculated before transplantation and at 3 months post-transplantation are associated with the development of NODAT within 1 year. We also analysed the long-term impact of early diagnosed NODAT. Insulin indices were calculated using homeostasis model assessment (HOMA) and McAuley's Index. NODAT was diagnosed using fasting plasma glucose. Median follow-up was 11 years. The cumulative incidence of NODAT at 1 year was 37%. By logistic regression, recipient age (per year) was the only significant pretransplant predictor of NODAT (OR 1.04, CI 1.009-1.072), while age (OR 1.04, CI 1.005-1.084) and impaired fasting glucose (OR 2.97, CI 1.009-8.733) were significant predictors at 3 months. Pretransplant and 3-month insulin resistance and secretion indices did not predict NODAT. All-cause mortality was significantly higher in recipients developing NODAT within 1 year compared with those remaining nondiabetic (44% vs. 22%, log-rank P = 0.008). By Cox's regression analysis, age (HR 1.075, CI 1.042-1.110), 1-year creatinine (HR 1.007, CI 1.004-1.010) and NODAT within 3 months (HR 2.4, CI 1.2-4.9) were independent predictors of death. In conclusion, NODAT developing early after renal transplantation was associated with poor long-term patient survival. Insulin indices calculated pretransplantation using HOMA and McAuley's Index did not predict NODAT.

Early basal insulin therapy decreases new-onset diabetes after renal transplantation

No effective interventions to reduce risk for new-onset diabetes after transplantation (NODAT), a condition associated with postoperative hyperglycemia and reduced patient and graft survival, have been established. In this 1-year, proof-of-concept clinical trial, we randomly assigned 50 renal transplant recipients to immediate-postoperative isophane insulin for evening blood glucose ≥140 mg/dl (treatment group) or short-acting insulin and/or oral antidiabetic agents for blood glucose ≥180-250 mg/dl (standard-of-care control group). We included only patients without a history of diabetes who received tacrolimus. By the third postoperative evening, all patients in the treatment group had blood glucose ≥140 mg/dl and were subsequently treated with basal insulin; during the first 3 weeks after transplantation, the mean ± SD daily insulin dosage was 17±11 IU/d. Among controls, 23 (92%) of 25 had blood glucose ≥200 mg/dl and 18 (72%) of 25 received standard-of-care antihyperglycemic treatment. Asymptomatic hypoglycemia occurred five times in the treatment group and once in the control group. Throughout follow-up, the treatment group had 73% lower odds of NODAT (odds ratio, 0.27) than the control group, and hemoglobin A1c was on average 0.38% lower in the treatment group than the control group. Twelve months after transplantation, all patients in the treatment group were insulin-independent, whereas 7 (28%) of 25 controls required antidiabetic agents. The groups did not differ for insulin sensitivity, but the treatment group showed better β-cell function throughout the 1-year follow-up. In conclusion, this study suggests regimens that include basal insulin significantly reduce the odds for NODAT after renal transplantation, presumably via insulin-mediated protection of β cells.

Impending hyperglycemia in normoglycemic renal transplant recipients--an experimental predictive surrogate

BACKGROUND

beta-Cell dysfunction and insulin resistance combine to cause new-onset diabetes after transplantation. The product of these two parameters, quantitatively measured as disposition index (DI), is a mathematical constant in normoglycemia and declines in advance of impending hyperglycemia. The aim of this study was to derive a simple surrogate for the DI to expose predysglycemic abnormalities posttransplantation.

METHODS

First-phase insulin secretion and sensitivity were determined by mathematical minimal model analysis of 58 frequently sampled, intravenous glucose tolerance tests in 58 non-diabetic renal transplant recipients and correlated against surrogate indexes based on fasting blood samples. Products of insulin secretion/resistance indexes were correlated against calculated DI, regression analysis performed for hyperbolic compatibility, autocorrelation studies conducted, and surrogates tested in various subgroups of renal transplant recipients to ensure robustness in a heterogeneous group.

RESULTS

The best correlation was achieved with "HOMA(sec) (first-phase insulin secretion)xMcAuley's index (insulin resistance)" (r=0.594, P<0.001). Regression analysis was consistent with a mathematical hyperbola (ln HOMA(sec) vs. ln McAuley's index, r=-0.639 [95% confidence interval, -1.772 to -0.950]), statistical autocorrelation was excluded (in a subset of 20 patients with repeat metabolic investigations), and the surrogate remained valid in different subgroups of transplant recipients.

CONCLUSIONS

Our surrogate "HOMA(sec)xMcAuley's index," requiring only fasting glucose, insulin, and triglycerides, is a simple and noninvasive surrogate for the DI. Its predictive utility for identifying impending hyperglycemia posttransplantation should be investigated further to ascertain whether its experimental nature can translate to clinical validity.

Insulin resistance indexes in renal transplant recipients maintained on tacrolimus immunosuppression

BACKGROUND

Insulin resistance is common posttransplantation and contributes to both new onset diabetes after transplantation and the metabolic syndrome. Insulin resistance indexes have never been validated in transplant recipients on tacrolimus compared with cyclosporine, although it is more diabetogenic. We aimed to assess these indexes in renal transplant recipients on tacrolimus as primary immunosuppressant.

METHODS

Retrospective analysis of 76 frequently sampled, intravenous glucose tolerance tests (for insulin sensitivity) in 38 nondiabetic renal transplant recipients on tacrolimus-centered immunosuppression. Indexes tested were fasting glucose/insulin ratio, homeostasis model assessment (HOMA) index, 1/HOMA, log (HOMA), quantitative insulin sensitivity check index, and the McAuley's index. Indexes were also compared against waist/hip ratio and C-reactive protein (CRP). Multivariate linear regression analysis was performed to determine independent variables predictive for insulin resistance.

RESULTS

Insulin sensitivity successfully correlated with all indexes: fasting glucose/insulin ratio (r=0.246, P=0.033), HOMA index (r=-0.240, P=0.038), 1/HOMA (r=0.282, P=0.014), log (HOMA) (r=-0.316, P=0.006), quantitative insulin sensitivity check index (r=0.320, P=0.005), and McAuley's index (r=0.323, P=0.005). McAuley's index also correlated strongest with waist/hip ratio (r=-0.425, P<0.001). All indexes failed to correlate with CRP. Variables independently associated with insulin sensitivity were HbA1c (r=0.189, P=0.019), pulse pressure (r=0.146, P=0.021), and CRP (r=0.210, P=0.010).

CONCLUSIONS

Insulin resistance indexes are valid in transplant recipients taking tacrolimus, with McAuley's index the strongest surrogate.

Serum leptin, insulin resistance, and body fat after renal transplantation

OBJECTIVE

Our objective was to evaluate serum levels of leptin, body mass index (BMI), body-fat percentage (BF%), and insulin resistance in the first year after renal transplantation.

DESIGN

This study involved a prospective, observational cohort.

SETTING

The setting was a transplant unit of a university teaching hospital in Porto Alegre, Brazil.

PATIENTS

Thirty-two patients who underwent renal transplantation were prospectively followed for 1 year. A control group of 19 healthy individuals, matched by sex, age, and BMI, was included in the study.

METHODS

Body mass index and BF% were measured according to anthropometric measures, serum leptin was measured by radioimmunoassay, and the homeostasis model assessment (HOMA) was used as an index of insulin resistance. Anthropometric measures and biochemical markers were evaluated prospectively, starting at transplant time and then every 3 months for up to 1 year.

RESULTS

Leptin levels were increased before transplantation, and decreased significantly in the first year (median, 11.9 [interquartile range, 9.2 to 25.2] to 9.3 [4.9 to 16.4] ng/mL; P < .001). The HOMA values presented a similar pattern, decreasing from 2.4 +/- 1.5 (mean +/- SD) before transplantation, to 1.5 +/- 1.1 (P = .001) at 3 months after transplantation, but increasing to 2.0 +/- 1.7 at month 12 after transplantation (P = not significant). The BMI and BF% increased significantly in the first year after transplantation (23.3 +/- 2.7 kg/m(2) vs. 24.4 +/- 2.7 kg/m(2), P = .001, and 23.71% +/- 7.79% vs. 25.63% +/- 7.68%, P = .002, respectively). According to multivariate regression analysis, HOMA levels and BF% independently predicted leptin levels after transplantation.

CONCLUSIONS

We found that leptin serum levels decreased significantly over the first posttransplant year. However, the effect of transplantation on insulin resistance appears to be transitory, and BF% also increases steadily in this period. The beneficial profile of leptin levels is counterbalanced by the detrimental effects of insulin resistance and BF% that may be related to the elevated cardiovascular risk observed after transplantation.

Incorporation of the fasting free fatty acid concentration into quantitative insulin sensitivity check index improves its association with insulin sensitivity in adults, but not in children

OBJECTIVE

Based on fasting insulin and glucose, several indices of insulin sensitivity have been developed in adults. Recently, it has been demonstrated that incorporation of the fasting free fatty acid (FFA) concentration improves the association with insulin sensitivity in adults. We investigated the association of clamp-derived insulin sensitivity with indices of insulin sensitivity derived from fasting blood in prepubertal children and adults, with and without incorporation of FFAs.

DESIGN AND METHODS

We studied 59 healthy adults and 29 of them are prepubertal children. We measured insulin sensitivity with the euglycemic-hyperinsulinemic clamp. Based on fasting insulin and glucose, we estimated insulin sensitivity with the homeostasis model assessment (HOMA), the quantitative insulin sensitivity check index (QUICKI), and the revised QUICKI after the incorporation of FFAs.

RESULTS

The associations of HOMA and QUICKI with clamp-derived insulin sensitivity in children (r=-0.55 and 0.54 respectively; P<0.01) were similar to those in adults (r=-0.54 and 0.53 respectively; P<0.01). However, incorporation of FFAs into the QUICKI model resulted in an increase in the association in adults, but not in children (r=0.68 and 0.48 respectively; P<0.01). Adding FFA levels to a regression model with glucose and insulin as independent variables resulted in an increase in the explained variance in clamp-derived insulin sensitivity in adults, but not in children (P value 0.004 in adults and 0.3 in children).

CONCLUSIONS

HOMA and QUICKI are associated with clamp-derived insulin sensitivity in both children and adults. Incorporating fasting levels of FFAs into the QUICKI model improves the association with clamp-derived insulin sensitivity in adults, but not in children.

The effect of renal transplantation on adiponectin and its isoforms and receptors

Insulin resistance (IR) and other proatherogenic risk factors associated with end-stage kidney disease (ESKD) are improved by renal transplantation. Adiponectin is a protein with insulin-sensitizing, anti-inflammatory, and antiatherogenic properties. It exists in several isoforms, but the high molecular weight (HMW) isoform correlates best with insulin sensitivity. Paradoxically, the levels of this protein and its HMW isoform are increased in ESKD. We measured the homeostasis model assessment for insulin resistance (HOMA-IR), plasma adiponectin and its isoforms, and messenger RNA for adiponectin receptors (AdipoR1 and AdipoR2) on peripheral blood mononuclear cells in 54 stable transplant recipients, 50 patients established on hemodialysis, and 52 controls; groups were matched for body mass index and sex. HOMA-IR values were significantly higher in patients with ESKD compared with controls (P < .0005) and transplant patients (P < .05) but there was no difference between the latter 2 groups. Adiponectin levels were also higher in patients with ESKD compared with controls (P < .0005), and although levels were lower in the transplant group, they remained higher than in controls (P < .0001). However, although the absolute amount of HMW isoform in transplant patients remained higher than in controls (P < .0001), the proportion was similar, and less than in patients with ESKD (P < .005). The absolute amount of the HMW isoform correlated with superior metabolic indices in all 3 cohorts. AdipoR1 and AdipoR2 messenger RNA levels after transplantation were significantly lower than those of ESKD subjects (P < .0001, P < .01), but transplant patients had less AdipoR1 than controls, although their AdipoR2 levels were higher. AdipoR1 correlated with AdipoR2 in all 3 cohorts. We conclude that HOMA-IR was lower in the transplant group compared with the group on hemodialysis and this coincided with lower total adiponectin levels and absolute amount of the HMW isoform and AdipoR on peripheral blood mononuclear cells. Lower AdipoR after transplantation may be secondary to immunosuppression and/or an improvement in glomerular filtration rate and the uremic milieu.

Validation of steady-state insulin sensitivity indices in chronic kidney disease

OBJECTIVE

Insulin resistance may contribute to cardiovascular disease and the progression of renal insufficiency in patients with chronic kidney disease (CKD). However, feasible methods for estimating insulin sensitivity in large-population CKD studies have not been validated. The purpose of this study was to attempt to validate several commonly used steady-state insulin sensitivity (SI-SS) indices in a CKD population.

RESEARCH DESIGN AND METHODS

Twenty-seven subjects with estimated glomerular filtration rate (eGFR) ranging from 70 to <10 ml/min per 1.73 m2 (median eGFR = 48) underwent a frequently sampled intravenous glucose tolerance test (FSIVGTT) on a single occasion. Correlations were obtained between the minimal model-derived insulin sensitivity parameter from the FSIVGTT (SI-FSIVGTT) and seven SI-SS indices derived from fasting insulin and glucose data obtained just before the FSIVGTT.

RESULTS

Each of the seven steady-state indices was significantly correlated with SI-FSIVGTT. For indices obtained using the mean of four fasting insulin and glucose values over 15 min, Pearson correlation coefficients (|r|) ranged from 0.51 to 0.87 (P < 0.01 for each). For indices using single fasting insulin and glucose values, |r| ranged from 0.51 to 0.72 (P < 0.01 for each). By both the four and one time point approaches, 1/I(0) had the highest correlation with SI-FSIVGTT. The correlation with SI-FSIVGTT did not change significantly according to eGFR level for any of the SI-SS indices.

CONCLUSIONS

SI-SS indices are valid surrogates for SI-FSIVGTT in the CKD population. Their use will expand the range of testable hypotheses in CKD cohort studies.

Insulin resistance is inversely related to prostate cancer: a prospective study in Northern Sweden

Factors related to insulin resistance have been implicated in prostate cancer development, however, few analytical studies support such an association. We performed a case control study on 392 prostate cancer cases and 392 matched controls nested in a prospective cohort in Northern Sweden. Plasma concentrations of C-peptide, leptin, glycated haemoglobin (HbA1c) and fasting and post-load glucose were analysed and homeostatic model assessment of insulin resistance (HOMA-IR) was calculated. Conditional logistic regression analyses were used to calculate odds ratios (OR) of prostate cancer. High levels of C-peptide, HOMA-IR, leptin and HbA1c were associated with significant decreases in risk of prostate cancer, with ORs for top vs. bottom quartile for C-peptide of 0.59 (95% Confidence Interval [CI], 0.40-0.89; p(trend) = 0.008), HOMA-IR 0.60 (95% CI, 0.38-0.94; p(trend) = 0.03), leptin 0.55 (95% CI, 0.36-0.84; p(trend) = 0.006) and HbA1c 0.56 (95% CI, 0.35-0.91; p(trend) = 0.02). All studied factors were strongly inversely related to risk among men less than 59 years of age at blood sampling, but not among older men, with a significant heterogeneity between the groups for leptin (p(heterogeneity) = 0.006) and fasting glucose (p(heterogeneity) = 0.03). C-peptide and HOMA-IR were strongly inversely related to non-aggressive cancer but were non-significantly positively related to risk of aggressive disease (p(heterogeneity) = 0.007 and 0.01, respectively). Our data suggest that androgens, which are inversely associated with insulin resistance, are important in the early prostate cancer development, whereas insulin resistance related factors may be important for tumour progression.

Validity and reproducibility of HOMA-IR, 1/HOMA-IR, QUICKI and McAuley's indices in patients with hypertension and type II diabetes

The aim of this study was to evaluate the validity and reliability of homeostasis model assessment-insulin resistance (HOMA-IR) index, its reciprocal (1/HOMA-IR), quantitative insulin sensitivity check index (QUICKI) and McAuley's index in hypertensive diabetic patients. In 78 patients with hypertension and type II diabetes glucose, insulin and triglyceride levels were determined after a 12-h fast to calculate these indices, and insulin sensitivity (IS) was measured with the hyperinsulinemic euglycemic clamp technique. Two weeks later, subjects had again their glucose, insulin and triglycerides measured. Simple and multiple linear regression analysis were applied to assess the validity of these indices compared to clamp IS and coefficients of variation between the two visits were estimated to assess their reproducibility. HOMA-IR index was strongly and inversely correlated with the basic IS clamp index, the M-value (r=-0.572, P<0.001), M-value normalized with subjects' body weight or fat-free mass and every other clamp-derived index. 1/HOMA-IR and QUICKI indices were positively correlated with the M-value (r=0.342, P<0.05 and r=0.456, P<0.01, respectively) and the rest clamp indices. McAuley's index generally presented less strong correlations (r=0.317, P<0.05 with M-value). In multivariate analysis, HOMA-IR was the best fit of clamp-derived IS. Coefficients of variation between the two visits were 23.5% for HOMA-IR, 19.2% for 1/HOMA-IR, 7.8% for QUICKI and 15.1% for McAuley's index. In conclusion, HOMA-IR, 1/HOMA-IR and QUICKI are valid estimates of clamp-derived IS in patients with hypertension and type II diabetes, whereas the validity of McAuley's index needs further evaluation. QUICKI displayed better reproducibility than the other indices.

Determinants of Insulin Resistance in Renal Transplant Recipients

BACKGROUND

Insulin resistance is considered to play an important role in the development of cardiovascular disease, which limits long-term renal transplant survival. Renal transplant recipients are more insulin-resistant compared with healthy controls. It is not known to date which factors relate to this excess insulin resistance. Therefore, we investigated which factors are related to insulin resistance long-term after renal transplantation.

METHODS

All renal transplant recipients at our outpatient clinic with a functioning graft for more than one year were invited to participate. We excluded diabetic recipients. Recipient, donor, and transplant characteristics were collected as putative determinants. We used fasting insulin, homeostasis model assessment index, and McAuley's index as valid estimates of insulin resistance. Linear regression models were created to investigate independent determinants of all indexes.

RESULTS

A total of 483 recipients (57% male, 50+/-12 years) were analyzed at a median (interquartile range) time of 6.0 (2.6-11.6) years posttransplant. The most consistent determinants across all three indices were body mass index (P<0.001), waist-to-hip ratio (P<0.001), and prednisolone dose (P<0.05). Independent associations were present for total cholesterol (P<0.001), high-density lipoprotein cholesterol (P<0.001), creatinine clearance (P<0.05), recipient age (P<0.001), and gender (P< or =0.002). No independent associations were present for transplant-related factors such as acute rejection treatment or cytomegalovirus seropositivity.

CONCLUSIONS

Our results indicate that obesity, distribution of obesity, and prednisolone treatment are the predominant determinants of insulin resistance long term after transplantation. Insulin resistance after renal transplantation could be managed favorably by weight and prednisolone dose reduction, which may reduce cardiovascular disease.