High incidence of tacrolimus-associated posttransplantation diabetes in the Korean renal allograft recipients according to American Diabetes Association criteria

Tacrolimus related diabetic ketoacidosis and hyperglycaemic hyperosmolar nonketotic syndrome: an observational, retrospective, pharmacovigilance study

BACKGROUND

Information on the incidence and risk factors for diabetic ketoacidosis (DKA) and hyperglycemic hyperosmolar nonketotic syndrome (HHNS) caused by tacrolimus has rarely been reported. This study aims to assess the spectrum of DKA/HHNS associated with tacrolimus.

METHODS

We conducted an observational, retrospective pharmacovigilance study using the Food and Drug Administration adverse event reporting system (FAERS) database. We employed the information component (IC) and reporting odds ratio (ROR) to evaluate the association between tacrolimus and DKA/HHNS.

RESULTS

A total of 232 events were identified as tacrolimus-related DKA/HHNS, 186 cases from DKA and 54 cases from HHNS. The frequency of tacrolimus-associated DKA and HHNS was found to be significantly higher compared to all other drugs. Specifically, HHNS was significantly associated with tacrolimus based on its ROR and IC. There were no significant differences in death and non-death cases in gender, age group, year of reporting and region of reporting.

CONCLUSION

Our study showed that DKA and HHNS were associated with tacrolimus use. Healthcare professionals should be aware of the possibility of DKA/HHNS following tacrolimus administration, as they were associated with an increased risk of mortality in transplant recipients.

Prevalence of new-onset diabetes mellitus after kidney transplantation: a systematic review and meta-analysis

AIMS

Post-transplant diabetes is a prevalent and consequential complication following kidney transplantation, which significantly augments the risk of cardiovascular disease, graft loss, infection, and mortality, thereby profoundly impacting both graft and patient survival. However, the early stages of post-transplant diabetes often go unnoticed or receive inadequate management. Consequently, this study systematically assesses the incidence of new-onset diabetes after kidney transplantation with the aim to enhance medical staff awareness regarding post-transplantation diabetes and provide clinical management guidance.

METHODS

We conducted a comprehensive search across multiple databases including PubMed, Web of Science, Embase, The Cochrane Library, CNKI, Wanfang, VIP, and SinoMed until September 21, 2023. Data extraction was performed using standardized tables and meta-analysis was conducted using Stata 16.0 software. A random effects model was employed to estimate the combined prevalence along with its corresponding 95% confidence interval. The source of heterogeneity was explored using subgroup analysis and sensitivity analysis, while publication bias was assessed through funnel plot and Egger's test. This study has been registered with PROSPERO under the registration number CRD42023465768.

RESULTS

This meta-analysis comprised 39 studies with a total sample size of 16,584 patients. The prevalence of new-onset diabetes after transplantation was found to be 20% [95% CI (18.0, 22.0)]. Subgroup analyses were conducted based on age, gender, body mass index, family history of diabetes, type of kidney donor, immunosuppressive regimen, acute rejection episodes, hepatitis C infection status and cytomegalovirus infection.

CONCLUSIONS

The incidence of post-kidney transplantation diabetes is substantial, necessitating early implementation of preventive and control measures to mitigate its occurrence, enhance prognosis, and optimize patients' quality of life.

CLINICAL TRIAL REGISTRATION

PROSPERO: CRD42023465768.

Safety of tacrolimus use during pregnancy and related pregnancy outcomes in patients with systemic lupus erythematosus: A retrospective single-center analysis in Japan

OBJECTIVE

Tacrolimus is one of the drugs that can be used in pregnancies complicated with systemic lupus erythematosus (SLE), but there are still few reports on its pregnancy outcomes. Although tacrolimus has been reported to cause adverse events, such as increased blood pressure, abnormal glucose metabolism, and susceptibility to infection, there have been no studies on the impact of tacrolimus in SLE pregnancies at these points. We performed a retrospective observational study of pregnancies complicated by SLE at St Luke's International Hospital in Tokyo from April 2003 to August 2021.

METHODS

Basic clinical information on SLE, pregnancy outcomes, disease activity before and after pregnancy, laboratory results, blood pressure, blood glucose levels, treatment regimens, and presence of infection was extracted from electronic medical records. We defined overall adverse pregnancy outcomes (APOs) as follows: (1) fetal death after 10 gestational weeks, (2) preterm delivery, (3) delivery due to hypertensive disorders of pregnancy, preeclampsia, or placental insufficiency, or (4) the diagnosis of small for gestational age infants. We also examined whether there was a statistical difference in APO incidence between patients treated with and without tacrolimus.

RESULTS

Pregnancy outcomes were obtained for 48 patients with a total of 60 pregnancies complicated by SLE. In 20 (33.3%) of these pregnancies, the patients took tacrolimus, and 28 (46.7%) of the pregnancies had APOs. APO incidence did not statistically differ between the tacrolimus and non-tacrolimus groups in the multivariate analysis (p = 1.00, adjusted OR 1, 95% CI: 0.23-4.39). Multiple regression analyses indicated that tacrolimus use did not significantly affect systolic blood pressure in the third trimester (B = -2.23, p = .74) or blood glucose levels in the first trimester (B = 10.2, p = .056). Incidence of infections did not significantly differ between patients treated with and without tacrolimus in the univariate analysis (10.8% vs. 21.1%, p = .42).

CONCLUSION

Tacrolimus did not significantly affect pregnancy outcomes, blood pressure, or glucose levels. Further research is required to confirm its effects in a larger population.

Longitudinal Exposure to Tacrolimus and New-Onset Diabetes Mellitus in Renal Transplant Patients

PURPOSE

Tacrolimus is an immunosuppressant widely used in transplantations requiring mandatory concentration-controlled dosing to prevent acute rejection or adverse effects, including new-onset diabetes mellitus (NODM). However, no relationship between NODM and tacrolimus exposure has been established. This study aimed to evaluate the relationship between cumulative tacrolimus exposure and NODM occurrence.

METHODS

A total of 452 kidney transplant patients were included in this study. Sixteen patients developed NODM during the first 3 months after transplant. We considered all tacrolimus concentration (C0) values collected until the diagnosis of NODM in these patients and until 3 months after transplant in the others. New tacrolimus cumulative exposure metrics were derived from the time profile of the tacrolimus morning predose concentration, C0: the percentage of C0 values > cutoff, the average of C0 values above the cutoff, and the percentage of the area under C0 versus time curve, AUCC0, above the cutoff. The cutoff chosen was 15 ng/mL, corresponding to the higher end of the therapeutic range for the early post-transplant period. The influence of these metrics on NODM and other clinical and biological characteristics was investigated using the Cox models.

RESULTS

The percentage of C0 > 15 mcg/L was statistically different between patients with and without NODM (P = 0.01). Only these tacrolimus C0-derived metrics were significantly associated with an increased risk of NODM [HR: 1.73 (1.43-2.10, P < 0.001)].

CONCLUSION

This study shows that tacrolimus concentrations >15 mcg/L affect the incidence of NODM.

Evaluation of Tacrolimus Trough Level in Patients Who Developed Post-transplant Diabetes Mellitus After Kidney Transplantation: A Retrospective Single-Center Study in Saudi Arabia

BACKGROUND

Post-transplant diabetes mellitus (PTDM) is a complication after kidney transplantation. Studies showed an association between high trough levels of tacrolimus FK506 and PTDM. This study aims to investigate the association between FK506 trough levels during the first year after kidney transplant and the incidence of PTDM.

METHODS

This retrospective study included adult kidney transplant patients who were not diabetic before transplantation from 2011 to 2014. The analysis evaluated FK506 trough levels at different time points post-transplant, as well as other variables to determine whether they were associated with PTDM.

RESULTS

The cumulative incidence of PTDM was 22.5% with a median time to PTDM diagnosis of 10 months. PTDM patients had higher first FK506 (ng/mL) levels (P = .001), and more patients in the PTDM group had FK506 level >10 ng/mL during the first 3 months (P = .004). After 12 months of transplant, PTDM patients had higher body mass index (BMI) 28.3 ± 6.9 kg/m² compared to non-PTDM patients 26.4 ± 6.7 kg/m² (P = .015). Binary logistic regression analysis showed that age ≥40 years (odds ratio [OR] = 2.75, P = .004), BMI ≥25 kg/m² (OR = 2.04, P = .040), and FK506 level ≥10 ng/mL during the first 3 months (OR = 2.65, P = .009) were significantly related to PTDM development.

CONCLUSION

Patients with FK506 trough level >10 ng/mL during the first 3 months after transplantation are at higher risk of PTDM, especially in patients >40 years of age and/or who are overweight. These results may strengthen the notion that there is a connection between high FK506 trough levels and PTDM development.

Exploring the Mechanism of Skeletal Muscle in a Tacrolimus-Induced Posttransplantation Diabetes Mellitus Model on Gene Expression Profiles

OBJECTIVE

Posttransplantation diabetes mellitus (PTDM) is a known complication of transplantation that affects the prognosis. Tacrolimus (Tac or FK506) is a widely used immunosuppressant that has been reported to be a risk factor for PTDM and to further induce complications in heart and skeletal muscles, but the mechanism is still largely unknown. In our preliminary experiments, we found that after Tac treatment, blood glucose increased, and the weight of skeletal muscle declined. Here, we hypothesize that tacrolimus can induce PTDM and influence the atrophy of skeletal muscle.

METHODS

We designed preliminary experiments to establish a tacrolimus-induced PTDM model. Gene expression profiles in quadriceps muscle from this rat model were characterized by oligonucleotide microarrays. Then, differences in gene expression profiles in muscle from PTDM rats that received tacrolimus and control subjects were analyzed by using GeneSpring GX 11.0 software (Agilent). Functional annotation and enrichment analysis of differentially expressed genes (DEGs) helped us identify clues for the side effects of tacrolimus.

RESULTS

Our experiments found that the quadriceps in tacrolimus-induced PTDM group were smaller than those in the control group. The study identified 275 DEGs that may be responsible for insulin resistance and the progression of PTDM, including 86 upregulated genes and 199 downregulated genes. GO and KEGG functional analysis of the DEGs showed a significant correlation between PTDM and muscle development. PPI network analysis screened eight hub genes and found that they were related to troponin and tropomyosin.

CONCLUSIONS

This study explored the molecular mechanism of muscle atrophy in a tacrolimus-induced PTDM model by bioinformatics analyses. We identified 275 DEGs and identified significant biomarkers for predicting the development and progression of tacrolimus-induced PTDM.

OGTT 2-hour serum C-peptide index as a predictor of post-transplant diabetes mellitus in kidney transplant recipients

Background

The high incidence of post-transplant diabetes mellitus (PTDM) necessitates the identification of new factors to explain its pathogenesis. This study aimed to clarify the association between the C-peptide index (CPI) and PTDM.

Methods

A total of 290 non-diabetic kidney transplant patients were analyzed. All subjects underwent a 75 g oral glucose tolerance test (OGTT). Plasma glucose concentrations, serum C-peptide levels, hemoglobin A1c (HbA1c), and other biochemical indicators were measured. CPI was calculated as the ratio of serum C-peptide to plasma glucose.

Results

Among the 290 patients, 36 (12.4%) developed PTDM at the end of 1 year. Patients with PTDM had older age (P<0.001), higher levels of body mass index (BMI) (P=0.004) and HbA1c (P=0.001), a higher proportion of deceased donors (P=0.045), and lower levels of 2 h-CPI (P=0.02) than those without PTDM. The OGTT 2 h-CPI was positively correlated with BMI, HbA1c, type of calcineurin inhibitor, albumin, and triglyceride. Multivariate logistic regression and Cox hazard model analysis showed that pre-transplant OGTT 2 h-CPI was an independent predictor for the development of PTDM, together with age, BMI, and HbA1c.

Conclusions

Of the pre-transplant factors studied, OGTT 2 h-CPI proved to be an independent predictor of PTDM.

New-Onset Diabetes After Transplantation: Comparison Between a Cyclosporine-Based and a Tacrolimus-Based Immunosuppressive Regimen

INTRODUCTION

New-onset diabetes after transplantation (NODAT) is a complication of renal transplantation (RT) with an adverse effect on graft survival.

OBJECTIVES

The purpose of the present study was to compare modifiable or non-modifiable clinical and laboratory parameters as well as the course of patients and transplants between 2 groups of RT recipients with NODAT in relation to the use of either a cyclosporine-based (group A) or a tacrolimus-based immunosuppressive regimen (group B).

MATERIALS AND METHODS

Retrospectively comparing 66 renal transplant recipients with NODAT, multiple clinical, and laboratory parameters were investigated. For statistical analysis, the χ² test, the Student t test, and the patient and graft survival or the Kaplan-Meier analysis from the statistical software SPSS 22.0 for Windows were used.

RESULTS

There was no statistically significant difference in association with the majority of the investigated parameters. In group B (tacrolimus [Tac]), more patients had HbA1c >7.2% at 3 years after RT. The mean value of systolic blood pressure was higher in group A (cyclosporine [CsA]) at 6 months and at 1 year after RT. More patients in group A (CsA) experienced at least one acute rejection episode. Finally, greater levels of cold ischemia time were recorded in group B (Tac) and statistically significant difference was found in connection with the patient and graft survival in the fourth year after RT.

CONCLUSIONS

NODAT in patients on tacrolimus requires the adjustment of modifiable clinical and metabolic parameters and possible change of the immunosuppressive regimen to a cyclosporine-based one.

Association of Body Mass Index and the Risk of New-Onset Diabetes After Kidney Transplantation: A Meta-analysis

OBJECTIVE

To comprehensively examine the correlation between body mass index (BMI) and the risk of new-onset diabetes after kidney transplantation (NODAT).

METHODS

The electronic databases Pubmed, Embase, and Cochrane Library, updated in December 2016, were searched, and a literature review was conducted as well to identify relevant research studies. With the use of R 3.12 software, the association between BMI and NODAT risk was analyzed by means of a meta-analysis, with the mean differences (MDs) and their 95% confidence intervals (CIs) as effect indexes. Publication bias was assessed with the use of the Egger test. A sensitivity analysis was performed by excluding 1 study at a time. And the overall morbidity of NODAT was calculated.

RESULTS

In the meta-analysis, 55 eligible studies involving 15,458 kidney transplantation cases were included. After the heterogeneity test, the random-effects model was used to calculate the pooled results of the effect indexes. The results of the meta-analysis showed that BMI was an independent risk factor of NODAT (MD, 1.88; 95% CI, 1.48-2.27). No publication bias was found among the included studies (t = 0.3417; P = 0.7339). The sensitivity analysis revealed that the pooled MD did not reverse after ignoring 1 study at a time. In addition, the overall morbidity of NODAT was 21% (95% CI, 21%-23%).

CONCLUSIONS

Our results suggest that BMI is an independent risk factor for NODAT.

Association between ADIPOQ gene polymorphisms and the risk of new-onset diabetes mellitus after liver transplantation

BACKGROUND

New-onset diabetes after transplantation (NODAT) has become one of the major factors that affect the overall survival and long-term life quality in liver transplantation (LT) recipients. Previous studies found that the serum adiponectin concentration of diabetic patients is significantly lower than that of healthy subjects. Adiponectin regulates the blood glucose level by increasing body sensitivity to insulin through various mechanisms. In this study, we aimed to investigate the impact of diabetes related gene polymorphisms on the development of NODAT in liver recipients.

METHODS

A total of 256 LT patients in a single-center were selected retrospectively for the study. Genomic DNA was extracted from explanted liver tissues, and tested for twelve diabetes mellitus associated single nucleotide polymorphisms by Sequenom MassARRAY. Modified clinical models in predicting NODAT were established and evaluated.

RESULTS

The GG genotype of ADIPOQ rs1501299 gene polymorphism was significantly more frequent in NODAT than non-NODAT LT patients (56% vs 39%, P=0.014). Dominant model (GG vs GT+TT, P=0.030) and recessive model (GT+GG vs TT, P=0.005) also confirmed the genotype distribution difference between NODAT and non-NODAT groups. Age (OR=1.048, P=0.004), BMI (OR=1.107, P=0.041), and blood tacrolimus level at 1-month LT (OR=1.170, P=0.003) were clinical independent risk factors of NODAT. Furthermore, rs1501299 could improve the ability of clinical model in predicting NODAT (AUROC=0.743, P<0.001).

CONCLUSION

ADIPOQ rs1501299 gene polymorphism is associated with an increased risk of NODAT, which should be added to the clinical models in predicting the occurrence of NODAT in LT recipients.

Risk assessment and management of post-transplant diabetes mellitus

The success rate of organ transplantation has been increasing with advances in surgical and pharmacological techniques. However, the number of solid organ transplant recipients who require metabolic disease management is also growing. Post-transplant diabetes mellitus (PTDM) is a common complication after solid organ transplantation and is associated with risks of graft loss, cardiovascular morbidity, and mortality. Other risk factors for PTDM include older age, genetic background, obesity, hepatitis C virus infection, hypomagnesemia, and use of immunosuppressant agents (corticosteroids, calcineurin inhibitors, and mammalian target of rapamycin inhibitor). Management of PTDM should be started before the transplantation plan to properly screen high-risk patients. Even though PTDM management is similar to that of general type 2 diabetes, therapeutic approaches must be made with consideration of drug interactions between immunosuppressive agents, glucose-lowering medications, and graft rejection and function.

Continuous glucose monitoring system (CGMS) in kidney-transplanted children

NODAT and IGT are well-known complications of immunosuppressive therapy after transplantation being a risk factor for cardiovascular disease affecting patient and graft survival. Therefore, early identification and treatment are of high importance. In this study, we examined the glycemic homeostasis of 20 renal-transplanted children using routine laboratory tests and the continuous glucose monitoring system (CGMS). Six patients (30%) had IGT, and one patient had NODAT (5%). The HOMA index was in an abnormal range in 35% of all patients and was abnormal in 67% of the IGT patients. CGMS analysis showed that IGT patients had higher "lowest glucose" level, and the incidence of hypoglycemic episodes was significantly lower compared with patients with normal OGTT result. In IGT patients, glucose variability tended to be lower. Furthermore, in the whole patient cohort, glucose variability significantly decreased with time after transplantation. Summarizing, these novel data show that "lowest glucose" level and hypoglycemic episodes are significantly influenced and altered in renal-transplanted patients with IGT. Furthermore, there is a decrease in glucose variability with time after transplantation. The mechanism and relevance of these data need further investigations.

Association between donor and recipient TCF7L2 gene polymorphisms and the risk of new-onset diabetes mellitus after liver transplantation in a Han Chinese population

BACKGROUNDS & AIMS

New-onset diabetes mellitus (NODM) is a frequent and serious complication arising after liver transplantation (LT). Transcription factor 7-like 2 (TCF7L2) polymorphisms have been reported to strongly associate with type 2 diabetes. In addition, the donor liver plays a vital role in regulating blood glucose levels. In this study, we aim at evaluating the association between donor and recipient TCF7L2 gene polymorphisms with NODM after LT.

METHODS

A total of 125 patients undergoing primary LT, without a history of diabetes were included. Four single nucleotide polymorphisms (rs290487, rs7903146, rs11196205, and rs12255372), closely associated with type 2 diabetes in the Eastern Asia population, were genotyped and analyzed.

RESULTS

Both donor and recipient rs290487 polymorphisms (CC vs. TT genotype) were found to be significantly associated with NODM. In multivariate analysis, donor rs290487 genetic variation (OR = 2.172 per each C allele, p = 0.015), blood tacrolimus levels at 1 month post-LT >10 ng/ml (OR = 3.264, p = 0.017), and recipient age >55 years (OR = 2.638, p = 0.043) were identified as independent risk factors of NODM. Furthermore, donor rs290487 CC genotype could predict a high probability (>40%) of the onset of NODM. Predictive model containing donor rs290487 polymorphism showed a significantly higher prognostic ability on NODM than the model with only clinical parameters (p = 0.031).

CONCLUSIONS

Donor TCF7L2 rs290487 polymorphism is associated with an increased risk of NODM after LT and has a potential clinical value for the prediction of NODM.

Risk factors for the development of new-onset diabetes mellitus in a living related renal transplant program

New-onset diabetes mellitus is associated with considerable morbidity after transplantation. We evaluated 78 living related renal transplant recipients due to all causes except diabetic nephropathy a waiting a living related renal transplantation. We evaluated demographic characteristics, pretransplant glycemic profile, fasting C-peptide levels, plasma insulin levels, pretransplant insulin resistance, and immunosuppression protocols. Among the 16.7% of patients developing diabetes mellitus at the end of 1 year, age, family history, and impaired glucose tolerance at the time of transplantation correlated with the development of diabetes mellitus in the posttransplant period.

Calcineurin/nuclear factor of activated T cells and MAPK signaling induce TNF-{alpha} gene expression in pancreatic islet endocrine cells

Cytokines contribute to pancreatic islet inflammation, leading to impaired glucose homeostasis and diabetic diseases. A plethora of data shows that proinflammatory cytokines are produced in pancreatic islets by infiltrating mononuclear immune cells. Here, we show that pancreatic islet α cells and β cells express tumor necrosis factor-α (TNF-α) and other cytokines capable of promoting islet inflammation when exposed to interleukin-1β (IL-1β). Cytokine expression by β cells was dependent on calcineurin (CN)/nuclear factor of activated T cells (NFAT) and MAPK signaling. NFAT associated with the TNF-α promoter in response to stimuli and synergistically activated promoter activity with ATF2 and c-Jun. In contrast, the β-cell-specific transcriptional activator MafA could repress NFAT-mediated TNF-α gene expression whenever C/EBP-β was bound to the promoter. NFAT differentially regulated the TNF-α gene depending upon the expression and MAPK-dependent activation of interacting basic leucine zipper partners in β cells. Both p38 and JNK were required for induction of TNF-α mRNA and protein expression. Collectively, the data show that glucose and IL-1β can activate signaling pathways, which control induction and repression of cytokines in pancreatic endocrine cells. Thus, by these mechanisms, pancreatic β cells themselves may contribute to islet inflammation and their own immunological destruction in the pathogenesis of diabetes.

Incidence of and risk factors for posttransplant diabetes mellitus after pancreas transplantation

Posttransplant diabetes mellitus (PTDM) after pancreas transplantation (PTX) has not been extensively examined. This single center, retrospective analysis of 674 recipients from 1994 to 2005 examines the incidence of and risk factors for PTDM after PTX. PTDM was defined by fasting plasma glucose level > or =126 mg/dL, confirmed on a subsequent measurement or treatment with insulin or oral hypoglycemic agent for > or =30 days. The incidence of PTDM was 14%, 17% and 25% at 3, 5 and 10 years after PTX, respectively and was higher (p = 0.01) in solitary pancreas (PAN) versus simultaneous kidney pancreas (SPK) recipients (mean follow-up 6.5 years). In multivariate analysis, factors associated with PTDM were: older donor age (hazard ratio [HR] 1.04, 95% confidence interval [CI] 1.03-1.06, p < 0.001), higher recipient body mass index (HR 1.07,CI 1.01-1.13, p = 0.01), donor positive/recipient negative CMV status (HR 1.65,CI 1.03-2.6, p = 0.04), posttransplant weight gain (HR 4.7,CI 1.95-11.1, p < 0.001), pancreas rejection (HR 1.94.CI 1.3-2.9, p < 0.001) and 6 month fasting glucose (HR 1.01,CI 1.01-1.02, p < 0.001), hemoglobin A(1)c, (HR 1.12,CI 1.05-1.22, p = 0.002) and triglyceride to high-density lipoprotein (TG/HDL) ratio (HR 0.94,CI 0.91-0.96, p < 0.001). This study delineates the incidence and identifies risk factors for PTDM after PTX.

Predictive factors associated with the reversibility of post-transplantation diabetes mellitus following liver transplantation

Post-transplantation diabetes mellitus (PTDM) is reversible in a considerable number of patients. We examined the prevalence and predictive factors of transient PTDM following liver transplantation. Forty-two of 74 PTDM patients showed the clinical features of transient PTDM. Compared with the persistent PTDM patients, they were characterized by younger age at the time of transplantation (49+/-7 vs. 53+/-8 yr, P<0.05), longer time before the development of PTDM (44+/-59 vs. 13+/-20 days, P<0.05), lower rate of hepatitis c virus seropositivity (0.0 vs. 9.4%, P<0.05), and use of mycophenolate mofetil (59.5 vs. 28.1%, P<0.05). Among these risk factors, age at the time of transplantation is the single independent predictive factor associated with the reversibility of PTDM.

Structural alterations in the seminiferous tubules of rats treated with immunosuppressor tacrolimus

BACKGROUND

Tacrolimus (FK-506) is an immunosuppressant that binds to a specific immunophilin, resulting in the suppression of the cellular immune response during transplant rejection. Except for some alterations in the spermatozoa, testicular morphological alterations have not been described in rats treated with tacrolimus. In the present study, we purpose to evaluate if the treatment with tacrolimus at long term of follow-up interferes in the integrity of the seminiferous tubules.

METHODS

Rats aging 42-day-old received daily subcutaneous injections of 1 mg/kg/day of tacrolimus during 30 (T-30) and 60 (T-60) days; the rats from control groups (C-30 and C-60) received saline solution. The left testes were fixed in 4% formaldehyde and embedded in glycol methacrylate for morphological and morphometric analyses while right testes were fixed in Bouin's liquid and embedded in paraffin for detection of cell death by the TUNEL method. The epithelial and total tubular areas as well as the stages of the seminiferous epithelium and the number of spermatocytes, spermatids and Sertoli cells (SC) per tubule were obtained.

RESULTS

In the treated groups, seminiferous tubules irregularly outlined showed disarranged cellular layers and loss of germ cells probably due to cell death, which was revealed by TUNEL method. In addition to germ cells, structural alterations in the SC and folding of the peritubular tissue were usually observed. The morphometric results revealed significant decrease in the number of SC, spermatocytes, spermatids and significant reduction in the epithelial and total tubular areas.

CONCLUSION

Tacrolimus induces significant histopathological disorders in the seminiferous tubules, resulting in spermatogenic damage and reduction in the number of Sertoli cells. A careful evaluation of the peritubular components will be necessary to clarify if these alterations are related to the effect of FK-506 on the peritubular tissue.

A variant of the transcription factor 7-like 2 (TCF7L2) gene and the risk of posttransplantation diabetes mellitus in renal allograft recipients

OBJECTIVE

Posttransplantation diabetes mellitus (PTDM) is a major complication associated with kidney transplantation. Defects in insulin secretion play a pivotal role in the pathogenesis of PTDM. A polymorphism in the transcription factor 7-like 2 (TCF7L2) gene was reported to be associated with type 2 diabetes and possibly associated with an insulin secretion defect. The aim of this study was to investigate the association between genetic variations in TCF7L2 and PTDM in renal allograft recipients.

RESEARCH DESIGN AND METHODS

A total of 511 unrelated renal allograft recipients without previously known diabetes were enrolled. Six single nucleotide polymorphisms (rs11196205, rs4506565, rs12243326, rs7903146, rs12255372, and rs7901695) were genotyped in the cohort, which consisted of 119 PTDM patients and 392 non-PTDM subjects. The genotyping of TCF7L2 polymorphisms was performed using real-time PCR.

RESULTS

rs4506565, rs7901695, and rs7903146 were found to be in complete linkage disequilibrium. The rs7903146 genotype distribution was CC 94.3% and CT 5.7%. The incidence of PTDM was significantly higher in patients with the CT genotype than in patients with the CC genotype (41.4 vs. 22.2%) (odds ratio 2.474 [95% CI 1.146-5.341]; P = 0.024). The effect of this genotype remains significant after adjustment for age, sex, amount of body weight gain, and type of immunosuppressant (2.655 [1.168-6.038]; P = 0.020).

CONCLUSIONS

These data suggest that the TCF7L2 rs7903146 genetic variation is associated with an increased risk of PTDM in renal allograft recipients.

Risk factors associated with the onset and progression of posttransplantation diabetes in renal allograft recipients

OBJECTIVE

The aim of this study was to assess the incidence of posttransplantation diabetes mellitus (PTDM) in renal allograft recipients and to investigate factors contributing to the onset and progression of PTDM and its underlying pathogenic mechanism(s).

RESEARCH DESIGN AND METHODS

A total of 77 patients with normal glucose tolerance (NGT) were enrolled in this study. An oral glucose tolerance test was performed 1 week before transplantation and repeated at 1 and 7 years after transplantation.

RESULTS

The overall incidence of PTDM was 39% at 1 year and 35.1% at 7 years posttransplantation. The incidence for each category of PTDM was as follows: persistent PTDM (P-PTDM) (patients who developed diabetes mellitus within 1 year of transplantation and remained diabetic during 7 years), 23.4%; transient PTDM (T-PTDM) (patients who developed diabetes mellitus during the 1st year after transplantation but eventually recovered to have NGT), 15.6%; late PTDM (L-PTDM) (patients who developed diabetes mellitus later than 1 year after transplantation), 11.7%; and non-PTDM during 7 years (N-PTDM7) (patients who did not develop diabetes mellitus during 7 years), 49.3%. Older age (> or = 40 years) at transplantation was a higher risk factor for P-PTDM, whereas a high BMI (> or = 25 kg/m2) and impaired fasting glucose (IFG) at 1 year posttransplantation were higher risk factors for L-PTDM. Impaired insulin secretion rather than insulin resistance was significantly associated with the development of P- and L-PTDM.

CONCLUSIONS

Impaired insulin secretion may be the main mechanism for the development of PTDM. Older age at transplantation seems to be associated with P-PTDM, whereas a high BMI and IFG at 1 year after transplantation were associated with L-PTDM.

The burden of new-onset diabetes mellitus after transplantation

The clinical impact of new-onset diabetes mellitus (NODM) is frequently underestimated by clinicians. NODM occurs in approximately 15-20% of renal transplant patients and 15% of liver transplant recipients. Diabetes after transplantation is a leading risk factor for cardiovascular events, with a higher prognostic value than in the non-transplant population. NODM also appears to have a negative influence on graft function, and graft survival rates after renal transplantation are significantly lower in patients who develop diabetes than in controls. Patient mortality following renal transplantation is generally found to be higher in patients with NODM, due to increased cardiovascular and peripheral vascular disease, accelerated graft deterioration and diabetes-related complications, notably infection. A renal registry analysis has reported an increase of 87% in risk of death following onset of NODM. There is also limited evidence that NODM is associated with increased risk of death in liver transplant patients. The relative incidence and severity of diabetic complications in transplant recipients have not been assessed rigorously in a clinical trial but registry data indicate that 20% of renal transplant patients with NODM experience at least one clinically significant diabetic complication within three years. Financially, the additional healthcare costs incurred over the first two years following onset of NODM amount to 21,500 dollars. Routine pre-transplant assessment of diabetic risk, with requisite modification of lifestyle, glycaemic monitoring and immunosuppressive regimens, and coupled with standardized, aggressive hypoglycaemic management as necessary, offers an important opportunity to alleviate the burden of NODM for transplant patients.

Evolution of tacrolimus blood levels and concentration-dose ratios in patients who develop new onset diabetes mellitus after kidney transplantation

New onset diabetes mellitus (NODM) affects kidney transplantation outcome. Several risk factors, including immunosuppressive drug levels, are related with NODM development. This analysis evaluates the incidence and risk factors of NODM in kidney transplant patients receiving tacrolimus, taking into account 6-month blood levels and concentration-dose ratios (CDRs). Seventy-six patients under tacrolimus therapy who received a cadaveric renal transplant in our centre and with graft survival higher than 1 year were included in the study. NODM was defined as two fasting plasma glucose values > or =126 mg/dl or symptoms of diabetes plus casual plasma glucose concentrations > or =200 mg/dl throughout the first year. We examined previously reported variables related with NODM development. The incidence of NODM at 12 months was 27.6%. Risk factors for NODM included older age, higher first tacrolimus level, higher body mass index and lower first year weight gain. In multivariate analysis, the first year occurrence of NODM was significantly determined by the first tacrolimus blood level >20 ng/ml and age older than 50 years. CDR remains significantly higher in NODM throughout the 6 months. Older age and a high first tacrolimus blood level are associated with the development of NODM during the first year after kidney transplantation. NODM patients show higher CDR during the first 6 months.

New-Onset Diabetes after Kidney Transplantation: An Application of 2003 International Guidelines

BACKGROUND

The 2003 International Consensus Guidelines defined new-onset diabetes after transplantation. This study determined the risk of new-onset diabetes following kidney transplantation using these criteria.

METHODS

Consecutive nondiabetic patients who received kidney transplantation between August 2001 and March 2003 (recent, n=61) and before August 2001 (earlier, n=61) were retrospectively evaluated.

RESULTS

In all, 74% in the recent group and 56% in the earlier group developed diabetes by 1 year posttransplant. Median time to diabetes development was 23 days in the recent vs. 134 days in the earlier group (P=0.0304). Most patients developed diabetes within 60 days after transplantation. Immunosuppression was the strongest correlate of diabetes development; tacrolimus and cyclosporine A treatments were associated with increased risk. The rate of development was also greater when rapamycin was added to tacrolimus, compared to when it was not. The risk was double in African-Americans compared to whites. Age, body mass index, family history of diabetes, and etiology of renal failure did not predict diabetes; however, the mean age of patients was greater than previously reported.

CONCLUSIONS

The majority of patients are at risk of developing new-onset diabetes within a short time after kidney transplantation. The risk may be due to preexisting risk factors, immunosuppressive agents, or older age. The significance of these findings is not clear, but demands appropriate follow-up studies related to glycemia, end-organ complications, and graft function. It remains to be determined whether the 2003 International Consensus Guidelines are adequate to appropriately diagnose diabetes in the posttransplant time period, with special emphasis on the first 3 months.

[Risk factors for developing diabetes mellitus after renal transplantation]

We evaluated retrospectively 34 patients with post-kidney transplant diabetes (PTDM) (group 1) and 68 submitted to renal transplant without PTDM (group 0) to determine the prevalence and risk factors for developing PTDM in patients followed at the Hospital Universitário Pedro Ernesto. The prevalence of PTDM was 7.4%. Group 1 patients were older at data collection (p<0.005) and at transplantation (p<0.005). Among them there was a higher frequency of cadaver donors (p= 0.023) and hypercholesterolemia (p= 0.006), and a lower frequency of arterial hypertension (p<0.0001). We observed a trend to higher frequency of positive sorology for C hepatitis (p= 0.057) and use of tacrolimus (p= 0.069) in group 1 as compared to group 0. The most important risk factors for developing PTDM (by logistic regression) were the age at renal transplant [OR= 1.099, IC 95% (1.045-1.156), p= 0.0001] and positive sorology for C hepatitis [OR= 3.338, IC 95% (1.205-9.248), p= 0.020]. We conclude that the prevalence of PTDM in our hospital was similar to that found in the literature and that the patients who developed PTDM presented a higher prevalence of traditional risk factors for PTDM, like older age and positive C virus hepatitis sorology, comparing to controls.

New-onset diabetes after transplantation

New-onset diabetes after transplantation (NODAT) is associated with significant morbidity and mortality. Given the availability of simple diagnostic methods and the known benefits of strict glycemic control, patients should be screened frequently after organ transplantation. The management of NODAT is multifaceted and aimed at both treatment and prevention of complications. Evaluation of patient risk for post-transplant diabetes mellitus and its complications is an important consideration in initial selection and subsequent modification of the immunosuppressive regimen.