Iron deficiency after kidney transplantation

Iron deficiency (ID) is highly prevalent in kidney transplant recipients (KTRs) and has been independently associated with an excess mortality risk in this population. Several causes lead to ID in KTRs, including inflammation, medication and an increased iron need after transplantation. Although many studies in other populations indicate a pivotal role for iron as a regulator of the immune system, little is known about the impact of ID on the immune system in KTRs. Moreover, clinical trials in patients with chronic kidney disease or heart failure have shown that correction of ID, with or without anaemia, improves exercise capacity and quality of life, and may improve survival. ID could therefore be a modifiable risk factor to improve graft and patient outcomes in KTRs; prospective studies are warranted to substantiate this hypothesis.</p

Individualized dosing algorithms for tacrolimus in kidney transplant recipients:current status and unmet needs

Introduction: Tacrolimus is a potent immunosuppressive drug with many side effects including nephrotoxicity and post-transplant diabetes mellitus. To limit its toxicity, therapeutic drug monitoring (TDM) is performed. However, tacrolimus’ pharmacokinetics are highly variable within and between individuals, which complicates their clinical management. Despite TDM, many kidney transplant recipients will experience under- or overexposure to tacrolimus. Therefore, dosing algorithms have been developed to limit the time a patient is exposed to off-target concentrations. Areas Covered: Tacrolimus starting dose algorithms and models for follow-up doses developed and/or tested since 2015, encompassing both adult and pediatric populations. Literature was searched in different databases, i.e. Embase, PubMed, Web of Science, Cochrane Register, and Google Scholar, from inception to February 2023 Expert Opinion: Many algorithms have been developed, but few have been prospectively evaluated. These performed better than bodyweight-based starting doses, regarding the time a patient is exposed to off-target tacrolimus concentrations. No benefit in reduced tacrolimus toxicity has yet been observed. Most algorithms were developed from small datasets, contained only a few tacrolimus concentrations per person, and were not externally validated. Moreover, other matrices should be considered which might better correlate with tacrolimus toxicity than the whole-blood concentration, e.g. unbound plasma or intra-lymphocytic tacrolimus concentrations.</p

Usage of Tacrolimus and Mycophenolic Acid During Conception, Pregnancy, and Lactation, and Its Implications for Therapeutic Drug Monitoring: A Systematic Critical Review

BACKGROUND: Conception, pregnancy, and lactation following solid organ transplantation require appropriate management. The most frequently used immunosu

Modelling changes in the pharmacokinetics of tacrolimus during pregnancy after kidney transplantation:A retrospective cohort study

Aims: Pregnancy after kidney transplantation is realistic but immunosuppressants should be continued to prevent rejection. Tacrolimus is safe during pregnancy and is routinely dosed based on whole-blood predose concentrations. However, maintaining these concentrations is complicated as physiological changes during pregnancy affect tacrolimus pharmacokinetics. The aim of this study was to describe tacrolimus pharmacokinetics throughout pregnancy and explain the changes by investigating covariates in a population pharmacokinetic model. Methods: Data of pregnant women using a twice-daily tacrolimus formulation following kidney transplantation were retrospectively collected from 6 months before conception, throughout gestation and up to 6 months postpartum. Pharmacokinetic analysis was performed using nonlinear mixed effects modelling. Demographic, clinical and genetic parameters were evaluated as covariates. The final model was evaluated using goodness-of-fit plots, visual predictive checks and a bootstrap analysis. Results: A total of 260 whole-blood tacrolimus predose concentrations from 14 pregnant kidney transplant recipients were included. Clearance increased during pregnancy from 34.5 to 41.7 L/h, by 15, 19 and 21% in the first, second and third trimester, respectively, compared to prior to pregnancy. This indicates a required increase in the tacrolimus dose by the same percentage to maintain the prepregnancy concentration. Haematocrit and gestational age were negatively correlated with tacrolimus clearance (P ≤ 0.01), explaining 18% of interindividual and 85% of interoccasion variability in oral clearance.Conclusions: Tacrolimus clearance increases during pregnancy, resulting in decreased exposure to tacrolimus, which is explained by gestational age and haematocrit. To maintain prepregnancy target whole-blood tacrolimus predose concentrations during pregnancy, increasing the dose is required.</p

Monitoring the tacrolimus concentration in peripheral blood mononuclear cells of kidney transplant recipients

Aims: Tacrolimus is a critical dose drug and to avoid under- and overexposure, therapeutic drug monitoring is standard practice. However, rejection and drug-related toxicity occur despite whole-blood tacrolimus pre-dose concentrations ([Tac]blood) being on target. Monitoring tacrolimus concentrations at the target site (within peripheral blood mononuclear cells; [Tac]cells) may better correlate with drug-efficacy. The aim of this study was to (1) investigate the relationship between [Tac]blood and [Tac]cells, (2) identify factors affecting the tacrolimus distribution in cells and whole-blood, and (3) study the relationship between [Tac]cells and clinical outcomes after kidney transplantation. Methods: A total of 175 renal transplant recipients were prospectively followed. [Tac]blood and [Tac]cells were determined at Months 3, 6 and 12 post-transplantation. Patients were genotyped for ABCB1 1199G>A and 3435C>T, CYP3A4 15389C>T, and CYP3A5 6986G>A. Data on rejection and tacrolimus-related nephrotoxicity and post-transplant diabetes mellitus were collected. Results: Correlations between [Tac]blood and [Tac]cells were moderate to poor (Spearman's r = 0.31; r = 0.41; r = 0.61 at Months 3, 6 and 12, respectively). The [Tac]cells/[Tac]blood ratio was stable over time in most patients (median intra-patient variability 39.0%; range 3.5%–173.2%). Age, albumin and haematocrit correlated with the [Tac]cells/[Tac]blood ratio. CYP3A5 and CYP3A4 genotype combined affected both dose-corrected [Tac]blood and [Tac]cells. ABCB1 was not significantly related to tacrolimus distribution. Neither [Tac]blood nor [Tac]cells correlated with clinical outcomes. Conclusions: The correlation between [Tac]blood and [Tac]cells is poor. Age, albumin and haematocrit correlate with the [Tac]cells/[Tac]blood ratio, whereas genetic variation in ABCB1, CYP3A4 and CYP3A5 do not. Neither [Tac]blood nor [Tac]cells correlated with clinical outcomes

Avoiding Tacrolimus Underexposure and Overexposure with a Dosing Algorithm for Renal Transplant Recipients: A Single Arm Prospective Intervention Trial

Bodyweight-based tacrolimus dosing followed by therapeutic drug monitoring is standard clinical care after renal transplantation. However, after transplantation, a meager 38% of patients are on target at first steady-state and it can take up to 3 weeks to reach the target tacrolimus predose concentration (C0). Tacrolimus underexposure and overexposure is associated with an increased risk of rejection and drug-related toxicity, respectively. To minimize subtherapeutic and supratherapeutic tacrolimus exposure in the immediate post-transplant phase, a previously developed dosing algorithm to predict an individual’s tacrolimus starting dose was tested prospectively. In this single-arm, prospective, therapeutic

The use of freeze-dried blood samples affects the results of a dried blood spot analysis

Dried blood spot (DBS) microsampling has several advantages over venous blood sampling. In a clinical validation study of tacrolimus microsampling it was noted that tacrolimus DBS concentrations ([Tac]DBS) were systematically higher than tacrolimus whole-blood concentrations ([Tac]WB). This observation was explored by investigating the effect of using freeze-dried standards (STFD) for [Tac]DBS measurement. For all experiments, both non-frozen whole-blood samples and whole-blood samples that were frozen and thawed (to simulate freeze-drying) of 10 patients were analyzed. Multiple tacrolimus concentrations were measured: 1) [Tac]WB, 2) [Tac]DBS, where 15 μL was volumetrically applied to a pre-punched DBS disk, and 3) [Tac]DBS, where 50 μL was applied before a 6 mm DBS disk was punched from the card. All tacrolimus concentrations were determined independently using STFD and standards made of non-frozen blood spiked with tacrolimus (STSP). In both non-frozen and frozen and thawed whole-blood samples, [Tac]WB measured with STFD appeared similar to [Tac]WB measured with STSP (Ratios 1.061 and 1.077, respectively). In non-frozen samples, the median ratio between the [Tac]DBS measured with STFD, and [Tac]WB measured with STFD (the reference method), was 1.396. When blood was volumetrically applied to the DBS card (to eliminate the effect of the spreading over the filter paper), this ratio was 1.009. In conclusion, when using DBS microsampling to quantify concentrations of analytes, one should be aware that using the commercially available freeze-dried blood samples for the preparation of standards may affect the spreading of blood on the filter-paper, leading to a systematic error in the results