International Federation of Clinical Chemistry/International Association of Therapeutic Drug Monitoring and Clinical Toxicology working group on immunosuppressive drug monitoring

Status and Quality of Guidelines for Therapeutic Drug Monitoring Based on AGREE II Instrument

BACKGROUND

With the progress of therapeutic drug monitoring (TDM) technology and the development of evidence-based medicine, many guidelines were developed and implemented in recent decades.

OBJECTIVE

The aim was to evaluate the current status of TDM guidelines and provide suggestions for their development and updates based on Appraisal of Guidelines for Research and Evaluation (AGREE) II.

METHODS

The TDM guidelines were systematically searched for among databases including PubMed, Embase, China National Knowledge Infrastructure, Wanfang Data, and the Chinese biomedical literature service system and the official websites of TDM-related associations. The search period was from inception to 6 April 2023. Four researchers independently screened the literature and extracted data. Any disagreement was discussed and reconciled by another researcher. The quality of guidelines was assessed using the AGREE II instrument.

RESULTS

A total of 92 guidelines were included, including 57 technical guidelines, three management guidelines, and 32 comprehensive guidelines. The number of TDM guidelines has gradually increased since 1979. The United States published the most guidelines (20 guidelines), followed by China (15 guidelines) and the United Kingdom (ten guidelines), and 23 guidelines were developed by international organizations. Most guidelines are aimed at adult patients only, while 28 guidelines include special populations. With respect to formulation methods, there are 23 evidence-based guidelines. As for quality evaluation results based on AGREE II, comprehensive guidelines scored higher (58.16%) than technical guidelines (51.36%) and administrative guidelines (50.00%).

CONCLUSION

The number of TDM guidelines, especially technical and comprehensive ones, has significantly increased in recent years. Most guidelines are confronted with the problems of unclear methodology and low quality of evidence according to AGREE II. More evidence-based research on TDM and high-quality guideline development is recommended to promote individualized therapy.

Pharmacokinetic Model Based on Stochastic Simulation and Estimation for Therapeutic Drug Monitoring of Tacrolimus in Korean Adult Transplant Recipients

BACKGROUND

Tacrolimus shows high variability in inter- and intraindividual pharmacokinetics (PK); therefore, it is important to develop an appropriate model for accurate therapeutic drug monitoring (TDM) procedures. This study aimed to develop a pharmacokinetic model for tacrolimus that can be used for TDM procedures in Korean adult transplant recipients by integrating published models with acquired real-world TDM data and evaluating clinically meaningful covariates.

METHODS

Clinical data of 1829 trough blood samples from 269 subjects were merged with simulated data sets from published models and analyzed using a nonlinear mixed-effect model. The stochastic simulation and estimation (SSE) method was used to obtain the final parameter estimates.

RESULTS

The final estimated values for apparent clearance, the volume of distribution, and absorption rate were 21.2 L/h, 510 L, and 3.1/h, respectively. The number of postoperative days, age, body weight, and type of transplant organs were the major clinical factors affecting tacrolimus PK.

CONCLUSIONS

A tacrolimus PK model that can incorporate published PK models and newly collected data from the Korean population was developed using the SSE method. Despite the limitations in model development owing to the nature of TDM data, the SSE method was useful in retrieving complete information from the TDM data by integrating published PK models while maintaining the variability of the model.

Efficacy, Safety, and Practicality of Tacrolimus Monitoring after Bone Marrow Transplant: Assessment of a Change in Practice

BACKGROUND

Currently, there is no standardized approach to the frequency of monitoring tacrolimus levels in patients who have undergone hematopoietic stem cell transplant (HSCT). Previously, the practice at the study hospital was to monitor tacrolimus levels daily throughout a patient's admission. A recent institutional study suggested that measurement of tacrolimus level is more frequent than needed to achieve consistent time in the therapeutic range (TTR), particularly after the first 7 days. As a result, tacrolimus monitoring was changed to daily measurement for the initial week of therapy, followed by measurements on Monday, Wednesday, and Friday in subsequent weeks.

OBJECTIVE

To confirm the safety and efficacy of the recent practice change.

METHODS

This retrospective chart review of HSCT patients admitted to The Ottawa Hospital involved 68 patients in the pre-practice change group and 43 patients in the post-practice change group. Data on tacrolimus measurement were collected for up to 21 days after initiation of this medication. The proportion of TTR was compared between the 2 groups. Differences in the incidence and severity of renal dysfunction and the incidence of acute graft versus host disease (GVHD) were determined and described.

RESULTS

In the pre-practice change cohort, the median proportion of TTR for tacrolimus was 40.5% for days 1-7, 65.1% for days 8-14, and 78.9% for days 15-21, similar to the values for the post-practice change group (46.6% [p = 0.09], 62.9% [p = 0.93], and 70.0% [p = 0.22], respectively, for the same periods). The incidence of acute GVHD within 100 days after HSCT was 24% and 33% for the pre- and post-practice change cohorts, respectively. The incidence and severity of renal dysfunction were similar between the 2 groups.

CONCLUSION

The proportion of TTR for tacrolimus was not significantly affected by the recent practice change. Similarly, the incidence and severity of renal dysfunction and the incidence of acute GVHD did not appear to differ between the pre- and post-practice change groups.

Quality of therapeutic drug monitoring guidelines is suboptimal: an evaluation using the Appraisal of Guidelines for Research and Evaluation II instrument

OBJECTIVES

Although therapeutic drug monitoring (TDM) guidelines are available, systematic evaluations of their methodological quality are scarce. This study aimed to assess the quality of current TDM guidelines using the Appraisal of Guidelines for Research and Evaluation (AGREE) II instrument.

STUDY DESIGN AND SETTING

We performed a systematic search to identify the relevant TDM guidelines in PubMed, EMBASE, CNKI, Wan Fang Database, CBM, VIP, four main guideline databases (NICE, NGC, GIN, and WHO guideline databases), and official websites of the governments and societies associated with TDM from the inception date to May 2018. Four independent appraisers rated the quality of each TDM guideline using the AGREE II instrument, and the mean score of each AGREE II item was calculated. The overall agreement among the appraisers was evaluated using the intraclass correlation coefficient (ICC).

RESULTS

Twenty-eight TDM guidelines satisfied the eligibility criteria from among 12,235 references. The overall agreement among the appraisers was substantial (0.700-0.880). The mean scores for the six AGREE II domains were scope and purpose, 67.7% (95% CI, 64.0-71.4%); stakeholder involvement, 39.8% (95% CI, 33.3-46.3%); rigor of development, 36.0% (95% CI, 28.1-43.9%); clarity and presentation, 61.6% (95% CI, 55.7-67.4%); applicability, 30.6% (95% CI, 26.4-34.8%); and editorial independence, 49.2% (95% CI, 40.0-58.6%). The reviewers recommended only four guidelines, and most of the TDM guidelines were rated as "recommended with modifications."

CONCLUSION

Overall, the quality of TDM guidelines is suboptimal according to the evaluation using the AGREE II instrument. The domains of applicability, rigor of development, stakeholder involvement, and editorial independence of the guidelines need to be reported. In addition, guideline developers closely adhering to the AGREE II instrument and the Grading of Recommendations Assessment Development and Evaluation system are required to draft high-quality and reliable TDM guidelines.

A Nucleic Acid Nanostructure Built through On-Electrode Ligation for Electrochemical Detection of a Broad Range of Analytes

For an assay to be most effective in point-of-care clinical analysis, it needs to be economical, simple, generalizable, and free from tedious workflows. While electrochemistry-based DNA sensors reduce instrumental costs and eliminate complicated procedures, there remains a need to address probe costs and generalizability, as numerous probes with multiple conjugations are needed to quantify a wide range of biomarkers. In this work, we have opened a route to circumvent complicated multiconjugation schemes using enzyme-catalyzed probe construction directly on the surface of the electrode. With this, we have created a versatile DNA nanostructure probe and validated its effectiveness by quantification of proteins (streptavidin, anti-digoxigenin, anti-tacrolimus) and small molecules (biotin, digoxigenin, tacrolimus) using the same platform. Tacrolimus, a widely prescribed immunosuppressant drug for organ transplant patients, was directly quantified with electrochemistry for the first time, with the assay range matching the therapeutic index range. Finally, the stability and sensitivity of the probe was confirmed in a background of minimally diluted human serum.

Multi-center Performance Evaluations of Tacrolimus and Cyclosporine Electrochemiluminescence Immunoassays in the Asia-Pacific Region

Background

The immunosuppressant drugs (ISDs), tacrolimus and cyclosporine, are vital for solid organ transplant patients to prevent rejection. However, toxicity is a concern, and absorption is highly variable across patients; therefore, ISD levels need to be precisely monitored. In the Asia-Pacific (APAC) region, tacrolimus and cyclosporine concentrations are typically measured using immunoassays. The objective of this study was to assess the analytical performance of Roche Elecsystacrolimus and cyclosporinee electrochemiluminescence immunoassays (ECLIAs).

Methods

This evaluation was performed in seven centers across China, South Korea, and Malaysia. Imprecision (repeatability and reproducibility), assay accuracy, and lot-to-lot reagent variability were tested. The Elecsys ECLIAs were compared with commercially available immunoassays (Architect, Dimension, and Viva-E systems) using whole blood samples from patients with various transplant types (kidney, liver, heart, and bone marrow).

Results

Coefficients of variation for repeatability and reproducibility were ≤5.4% and ≤12.4%, respectively, for the tacrolimus ECLIA, and ≤5.1% and ≤7.3%, respectively, for the cyclosporine ECLIA. Method comparisons of the tacrolimus ECLIA with Architect, Dimension, and Viva-E systems yielded slope values of 1.01, 1.14, and 0.897, respectively. The cyclosporine ECLIA showed even closer agreements with the Architect, Dimension, and Viva-E systems (slope values of 1.04, 1.04, and 1.09, respectively). No major differences were observed among the different transplant types.

Conclusions

The tacrolimus and cyclosporine ECLIAs demonstrated excellent precision and close agreement with other immunoassays tested. These results show that both assays are suitable for ISD monitoring in an APAC population across a range of different transplant types.

Assessment of the Measurement Error in Cyclosporine Levels Drawn Between Peripheral and Central Sources

OBJECTIVES

Cyclosporine is often monitored by drug levels drawn through central venous catheters (CVCs), which may be falsely elevated due to reversible drug adsorption onto the catheter. Therefore, we assessed the correlation between cyclosporine levels drawn peripherally and through CVCs.

METHODS

Bone marrow transplantation patients had a weekly collection of both peripheral and CVC draws from dual-lumen catheters simultaneously to assess cyclosporine levels after research ethics approval. Our primary outcome was the proportion of paired samples that were incongruent-defined as the mean of the CVC level being greater than 2 standard deviations from the peripheral level mean.

RESULTS

After approaching 27 eligible patients, 20 patients (77.8%) provided samples. Of 53 paired samples, seven were incongruent (13.2%). Peripheral and CVC levels correlated (r = 0.91) and agreed well.

CONCLUSION

Despite potential for preanalytical error due to adsorption, cyclosporine infusion and monitoring via CVCs produce results similar to monitoring via peripheral blood draws.

Cognitive Evaluation in Liver Transplant Patients Under Calcineurin Inhibitor Maintenance Therapy

BACKGROUND

Neurological disorders due to calcineurin inhibitor (CNI) treatment pose a well-known problem after liver transplantation (LTx). In this study, the impact of CNIs on cognitive functioning during maintenance therapy was analyzed. A possible improvement of cognitive functioning, compliance and health-related quality of life (HRQoL) after conversion to a once-daily tacrolimus formulation was prospectively assessed.

METHODS

In a cross-section analysis cognitive functioning of living donors (LD), waiting list patients and LTx patients was tested using a 4 times trail making test (4-TTMT). In a further investigator-initiated trial a possible improvement of cognitive functioning, HRQoL and compliance after conversion to the once-daily tacrolimus formulation was prospectively assessed over 1 year. HRQoL was assessed using an EORTC-QLQ C30 questionnaire and patient's compliance was assessed by the Basel Assessment of Compliance with Immunosuppressive Medication Scales questionnaire. Correlated data were sex, age, time after surgery, liver disease, model of end-stage liver disease score, creatinine, CNI type, and CNI trough levels.

RESULTS

Two hundred eleven patients were included in this cross-section analysis. Twenty-seven patients agreed to participate in the investigator-initiated trial. LTx patients completed the 4-TTMT slower than living donor patients and faster than waiting list patients. Patients with twice daily cyclosporine A (CSA) formulation needed longer to finish the 4-TTMT than patients with the once-daily tacrolimus formulation. After drug conversion of a twice-daily CNI formulation to a once-daily tacrolimus formulation, CSA-treated patients needed longer to improve their cognitive functioning. HRQoL and compliance did not improve after drug conversion.

CONCLUSIONS

Patients with once-daily tacrolimus formulation had a better psychomotor speed than CSA-treated patients. The conversion to once-daily tacrolimus formulation significantly improved cognitive functioning, but had no impact on HRQoL or compliance.

Immunosuppression for in vivo research: state-of-the-art protocols and experimental approaches

Almost every experimental treatment strategy using non-autologous cell, tissue or organ transplantation is tested in small and large animal models before clinical translation. Because these strategies require immunosuppression in most cases, immunosuppressive protocols are a key element in transplantation experiments. However, standard immunosuppressive protocols are often applied without detailed knowledge regarding their efficacy within the particular experimental setting and in the chosen model species. Optimization of such protocols is pertinent to the translation of experimental results to human patients and thus warrants further investigation. This review summarizes current knowledge regarding immunosuppressive drug classes as well as their dosages and application regimens with consideration of species-specific drug metabolization and side effects. It also summarizes contemporary knowledge of novel immunomodulatory strategies, such as the use of mesenchymal stem cells or antibodies. Thus, this review is intended to serve as a state-of-the-art compendium for researchers to refine applied experimental immunosuppression and immunomodulation strategies to enhance the predictive value of preclinical transplantation studies.

Quantification of the Immunosuppressant Tacrolimus on Dried Blood Spots Using LC-MS/MS

The calcineurin inhibitor tacrolimus is the cornerstone of most immunosuppressive treatment protocols after solid organ transplantation in the United States. Tacrolimus is a narrow therapeutic index drug and as such requires therapeutic drug monitoring and dose adjustment based on its whole blood trough concentrations. To facilitate home therapeutic drug and adherence monitoring, the collection of dried blood spots is an attractive concept. After a finger stick, the patient collects a blood drop on filter paper at home. After the blood is dried, it is mailed to the analytical laboratory where tacrolimus is quantified using high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) in combination with a simple manual protein precipitation step and online column extraction. For tacrolimus analysis, a 6-mm disc is punched from the saturated center of the blood spot. The blood spot is homogenized using a bullet blender and then proteins are precipitated with methanol/0.2 M ZnSO4 containing the internal standard D2,(13)C-tacrolimus. After vortexing and centrifugation, 100 µl of supernatant is injected into an online extraction column and washed with 5 ml/min of 0.1 formic acid/acetonitrile (7:3, v:v) for 1 min. Hereafter, the switching valve is activated and the analytes are back-flushed onto the analytical column (and separated using a 0.1% formic acid/acetonitrile gradient). Tacrolimus is quantified in the positive multi reaction mode (MRM) using a tandem mass spectrometer. The assay is linear from 1 to 50 ng/ml. Inter-assay variability (3.6%-6.1%) and accuracy (91.7%-101.6%) as assessed over 20 days meet acceptance criteria. Average extraction recovery is 95.5%. There are no relevant carry-over, matrix interferences and matrix effects. Tacrolimus is stable in dried blood spots at RT and at +4 °C for 1 week. Extracted samples in the autosampler are stable at +4 °C for at least 72 hr.

Delayed false elevation of circulating tacrolimus concentrations after cord blood transplantation in a patient with myelodysplastic syndrome

We herein describe the case of a 60-year-old man with a history of Behçet's disease and myelodysplastic syndrome who received cord blood transplantation (CBT). The patient was given anti-thymocyte globulin conditioning and tacrolimus to prevent graft-versus-host disease. Two months after CBT, his blood Tac concentration measured by an antibody-conjugated magnetic immunoassay (ACMIA) was found to have increased >4-fold, even after the Tac treatment was stopped. This false response was caused by the interference of endogenous heterophilic antibodies with ACMIA. Therefore, physicians must be aware of possible false ACMIA results for patients with a history of autoimmune disease and/or treated by xenogeneic antibody therapy.

Estimation of Abbreviated Cyclosporine A Area under the Concentration-Time Curve in Allogenic Stem Cell Transplantation after Oral Administration

Measurements of Cyclosporine (CsA) systemic exposure permit its dose adjustment in allogenic stem cell transplantation recipients to prevent graft-versus-host disease. CsA LSSs were developed and validated from 60 ASCT patients via multiple linear regressions. All whole-blood samples were analyzed by fluorescence polarization immunoassay (FPIA-Axym). The 10 models that have used CsA concentrations at a single time point did not have a good fit with AUC_0–12 (R² < 0.90). C₂ and C₄ were the time points that correlated best with AUC_0–12 h, R² were respectively 0.848, and 0.897. The LSS equation with the best predictive performance (bias, precision and number of samples) utilized three sampling concentrations was AUC_0–12 h = 0.607 + 1.569 × C_0.5 + 2.098 × C₂ + 3.603 × C₄ (R² = 0.943). Optimal LSSs equations which limited to those utilizing three timed concentrations taken within 4 hours post-dose developed from ASCT recipient's patients yielded a low bias <5% ranged from 1.27% to 2.68% and good precision <15% ranged from 9.60% and 11.02%. We propose an LSS model with equation AUC_0–12 h = 0.82 + 2.766 × C₂ + 3.409 × C₄ for a practical reason. Bias and precision for this model are respectively 2.68% and 11.02%.

Micafungin does not influence the concentration of tacrolimus in patients after allogeneic hematopoietic stem cell transplantation

BACKGROUND

Tacrolimus is commonly used in stem cell transplant recipients for prophylaxis of graft-vs-host disease. Micafungin is widely used as a strong antifungal agent in empirical therapy in patients with febrile neutropenia. Both tacrolimus and micafungin are substrates of cytochrome P450 3A4 in vitro. Therefore, there is risk of drug interaction with concomitant administration of these drugs.

OBJECTIVE

To estimate the drug interaction of tacrolimus and micafungin by evaluating the pharmacokinetics in 6 patients who had undergone allogeneic stem cell transplantation.

RESULTS

The mean (SD) concentration-dose ratio of tacrolimus in all patients at 1, 4, 8, and 24 hours after concomitant administration of micafungin was 607 ± 306, 653 ± 328, 699 ± 340 and 671 ± 403 (ng/mL)/(mg/kg/d), respectively, and without micafungin was 756 ± 314 (ng/mL)/(mg/kg/d). The percentage of the concentration-dose ratio in patients treated with tacrolimus and micafungin vs patients treated with tacrolimus alone was 98%, 105%, 112%, and 108% at 1, 4, 8, and 24 hours, respectively. For both tacrolimus and micafungin, the 90% confidence intervals for the primary pharmacokinetic parameters (ie, the concentration-dose ratio at each point) ranged from 80% to 125%.

CONCLUSION

We conclude that there is no drug interaction between tacrolimus and concomitantly administered micafungin in stem cell transplantation recipients.

Prediction tacrolimus blood levels based on the Bayesian method in adult kidney transplant patients

The use of tacrolimus is complicated by its narrow therapeutic index and wide intra- and interpatient variability. We have previously described a tacrolimus population pharmacokinetics model obtained in an adult kidney transplant cohort. The aims of the present study were (1) to validate that model using an external dataset and (2) to evaluate the prediction using a Bayesian method. Data were retrospectively collected from 34 adult patients receiving kidney transplantation. Trough blood concentrations of tacrolimus were predicted using the empirical Bayesian method with sparse samples obtained during the previous week. The system performance was evaluated by the mean prediction error (ME), mean absolute prediction error (MAE). and root mean square error (RMSE). Patients were administrated oral or intravenous tacrolimus as part of a triple immunosuppressive regimen with mycophenolate mofetil and corticosteroids. Subsequent doses were adjusted on the basis of clinical evidence of efficacy and toxicity and by routine therapeutic drug monitoring. In our previous model, clearance increased with post transplantation days and with prednisone dosage. Concentrations predicted by the population mean pharmacokinetic parameter values match well with observed concentrations during oral therapy. Bayesian prediction using trough concentrations obtained after 21 days of treatment significantly decreased ME, MAE, and RMSE compared with predictions from data including this period. After 21 days of treatment, there was an insignificant bias ME (0.22 ± 2.59 ng/ml), a reasonable precision MAE (1.97 ± 1.69 ng/ml) and RMSE (1.28 ± 0.58 ng/ml). The present study demonstrates the suitability of the Bayesian method for the prediction of trough blood concentrations of tacrolimus using only few samples in adult kidney transplantation recipients.

Individualized Neoral doses in pediatric renal transplantation

We propose a model to calculate individualized Neoral doses based on individual oral clearance (CL/F)(i) and AUC((0-12h)) values. The equation proposed by Dr. Ke-Hua Wu (2005), was employed to calculate the CL/F(i) = 28,5 - (1.24*POD) - 0.252*(TBil-11) + 0,188*(Weight o-58) -0,191*(Age-42) - 2,42*INHI - 0,212*(HCT-28), where CI/F = (L/h), POD = postoperative days, Bil.T = total bilirubin level (umol/L), CBW = in kilograms, age = in years, INHI = concurrent metabolic inhibitors present (1) or absence (0), and HCT = hematocrit percentage. The AUC((0-12h)) was calculated from the C(2) value using the equation AUC((0-12h)) = 815,578 + 4,44696*C(2), derived from the linear correlation observed in earlier work at Clinica Las Condes Hospital. The studied population were 30 kidney transplanted children at Luis Calvo Mackenna Hospital, between 2002 and 2006, who were divided into 2 similar groups according to accurate C(2) sampling time collections. The control group 1 was composed of 13 patients of age 9.85 +/- 4 years whose samples were collected correctly. Group 2 was composed of 17 patients of age 10.43 +/- 6 years with 252 C(2) samples, which were obtained at medical control. All patients were under oral treatment with prednisone, azathioprine, nifedipine, and Neoral administered twice day according the weight of the patient and the C(2) level. Relating Neoral administered doses to calculated doses according to the proposed model, the control group showed a linear correlation coefficient r = 0.924; r(2) = 85.4%; (P < .05), and group 2, r = 0.54; r(2) = 29.1 (P < .05). The proposed model to calculate Neoral doses had a predictive value of 85.0% when C(2) samples were collected correctly.

Overview of therapeutic drug monitoring

Therapeutic drug monitoring (TDM) is the clinical practice of measuring specific drugs at designated intervals to maintain a constant concentration in a patient's bloodstream, thereby optimizing individual dosage regimens. It is unnecessary to employ TDM for the majority of medications, and it is used mainly for monitoring drugs with narrow therapeutic ranges, drugs with marked pharmacokinetic variability, medications for which target concentrations are difficult to monitor, and drugs known to cause therapeutic and adverse effects. The process of TDM is predicated on the assumption that there is a definable relationship between dose and plasma or blood drug concentration, and between concentration and therapeutic effects. TDM begins when the drug is first prescribed, and involves determining an initial dosage regimen appropriate for the clinical condition and such patient characteristics as age, weight, organ function, and concomitant drug therapy. When interpreting concentration measurements, factors that need to be considered include the sampling time in relation to drug dose, dosage history, patient response, and the desired medicinal targets. The goal of TDM is to use appropriate concentrations of difficult-to-manage medications to optimize clinical outcomes in patients in various clinical situations.

Therapeutic drug monitoring

PURPOSE OF REVIEW

Traditionally, therapeutic drug monitoring has been used for the management of epilepsy, cardiac arrhythmias, asthma and depression. This review provides an update, particularly for the newer clinical applications, and how therapeutic drug monitoring (including use of analytical and interpretation tools) can improve clinical outcomes.

RECENT FINDINGS

Improved drug assay methodologies and a greater understanding of pharmacokinetic and pharmacodynamic mechanisms has allowed the use of therapeutic drug monitoring for immunosuppressant drugs in organ transplant recipients, antiretroviral agents for HIV/AIDS and antimetabolite drugs for leukaemia. In addition, new computer software to analyse drug concentrations in complex populations is being developed and introduced into routine clinical applications to allow increasingly patient-specific assay interpretation.

SUMMARY

Therapeutic drug monitoring assists in improving clinical success rates and minimizing toxicity. The use of therapeutic drug monitoring is therefore likely to become more widespread as new modalities are adopted.

Population pharmacokinetics and bioavailability of tacrolimus in kidney transplant patients

AIMS

The use of tacrolimus is complicated by its narrow therapeutic index and wide intra- and interpatient variability. Tacrolimus population pharmacokinetics, including bioavailability, were investigated in an adult kidney transplant cohort to identify patient characteristics that influence pharmacokinetics.

METHODS

The database (drug monitoring data) included 83 adult kidney transplant recipients and analysis was performed by a population approach with NONMEM. Data were collected during the first months after transplantation. Patients were administered oral or intravenous tacrolimus as part of a triple immunosuppressive regimen that also included mycophenolate mofetil and corticosteroids. Subsequent doses were adjusted on the basis of clinical evidence of efficacy and toxicity as in routine therapeutic drug monitoring.

RESULTS

A one compartment open model with linear absorption and elimination adequately described the data. The typical value of minimal clearance was 1.8 +/- 0.2 l h(-1). Clearance increased with time post transplantation to reach 50% of maximal value after 3.8 +/- 0.5 days, with a maximal value of 5.6 l h(-1). Moreover clearance increased by approximately 1.6 fold (range 0.5-1.6) if the dose of prednisone was >25 mg. The typical value for volume of distribution, V, (98 +/- 13 l kg(-1)) was similar to reported values in kidney transplant patients. The oral bioavailability of tacrolimus was poor and ranged from 11.2 to 19.1%. No covariates significantly influenced V or F.

CONCLUSIONS

The number of days postoperation and corticosteroid dose were significant covariates influencing tacrolimus clearance.

Predicted influence of sample hematocrit on injected mass of internal standard in mass spectrometry assays utilizing simple protein precipitation for sample preparation

BACKGROUND

The injected mass of internal standard is often monitored in mass spectrometry assays to flag aberrant specimen processing. When simple protein precipitation is used for sample preparation, the protein volume (solids fraction) of the specimen is in principle a variable affecting the final concentration of the internal standard in the liquid phase. We examined the predicted extent of this variation for an example of protein precipitation for sample preparation used in a mass spectrometry assay for immunosuppressants in whole blood.

METHODS

Liquid and solid mass fractions of samples with hematocrit ranging from 15% to 60% were measured after protein precipitation of samples using a whole blood/precipitating reagent ratio of 1:4. Relative supernatant volumes as a function of hematocrit were determined.

RESULTS

Liquid volume variation was consistent with a predicted variation in the internal standard concentration of only approximately +/-1% across this hematocrit range. Data were in close agreement with calculations based simply on protein density and concentration.

CONCLUSIONS

Hematocrit affects the injected mass of internal standard in assays that utilize protein precipitation for sample preparation, due to predictable variation in solids and liquid fractions. The effect is small, however, compared to the typical variation observed for injected mass of internal standard.

Optimizing the use of cyclosporin in allogeneic stem cell transplantation

Cyclosporin remains the most widely used immunosuppressive agent in patients undergoing allogeneic stem cell transplantation (SCT). The increased awareness of the impact of the intensity of post-transplant immunosuppression on determining outcome after allogeneic SCT has resulted in a re-examination of whether cyclosporin is currently being optimally used in this population of patients. Recent studies in solid organ transplantation have questioned whether the use of trough levels provides the most accurate reflection of the immunosuppressive actions of cyclosporin and alternative strategies to monitor cyclosporin dosage after liver and kidney transplantation are increasingly being used. As a result there is now interest in examining whether there is scope for translating these advances into the arena of haematopoietic transplantation. In this paper, we will review the rationale underlying the current schedules for dosing and monitoring cyclosporin after allogeneic SCT and identify specific areas in which the use of cyclosporin requires re-evaluation. These include evaluation of whether patient outcome would be improved by using peak cyclosporin levels to determine dosing schedules, analysis of optimal cyclosporin dosing schedules in patients undergoing reduced intensity allografts and investigation of surrogate markers of cyclosporin's immunosuppressive activity.

Correlations between Calcineurin Phosphatase Inhibition and Cyclosporine Metabolites Concentrations in Kidney Transplant Recipients: Implications for Immunoassays

Cyclosporine exhibits a wide spectrum of metabolites that vary considerably in the extent to which they interfere with the various parent drug monitoring immunoassays. There is no consensus regarding the clinical significance of metabolites. Cyclosporine exerts its immunosuppressive action by inhibiting the enzyme calcineurin phosphatase. Determination of the enzyme's activity is one of the most promising pharmacodynamic markers. It is unknown how calcineurin phosphatase inhibition correlates with various cyclosporine monitoring assays and what is the potential impact of metabolites in this perspective? The aim of the present study was to determine the concentration of cyclosporine (by means of three different assay methods) and the four most significant metabolites (AM1, AM4N, AM9, and AM1C) in relation to calcineurin phosphatase inhibition. Twelve randomly selected cyclosporine-treated renal transplant patients were included in the study. Blood samples were drawn before, 1, 2, 3, 4, 6, 8, and 12 hr after oral intake of cyclosporine. Parent drug and metabolites were determined by liquid chromatography/tandem mass spectrometry (LC/MSMS). Additionally, cyclosporine concentration was determined by the enzyme multiplied immunoassay technique (EMIT) and by the polyclonal fluorescence polarization immunoassay (pFPIA). Calcineurin phosphatase activity was measured by its ability to dephosphorylate a previously phosphorylated 19-amino acid peptide. We found that calcineurin phosphatase inhibition correlates strongly with parent cyclosporine metabolites concentrations determined by all three assay methods. Determination methods that took metabolites into consideration exhibit stronger correlations with calcineurin phosphatase inhibition (sum of cyclosporin plus metabolites r=-0.93, LC/MSMS; pFPIA r=-0.94, P<or=0.001), compared with methods that measure exclusively the parent drug (EMIT: -0.84; LC/MS-MS: -0.81, P<or=0.05). Our results indicate that the immunosuppressive role of cyclosporines metabolites should not be considered valueless per se. Further research is required in order to verify the potential clinical importance of our observations.

Sirolimus: the evidence for clinical pharmacokinetic monitoring

This review seeks to apply a decision-making algorithm to establish whether clinical pharmacokinetic monitoring (CPM) of sirolimus (rapamycin) in solid organ transplantation is indicated in specific patient populations. The need for CPM of sirolimus, although a regulatory requirement in Europe, has not yet been firmly established in North America and other parts of the world. Sirolimus has demonstrated immunosuppressive efficacy in renal, pancreatic islet cell, liver and heart transplant recipients. The pharmacological response of immunosuppressive therapy with sirolimus cannot be readily evaluated; however, a relationship between trough blood sirolimus concentrations, area under the plasma concentration-time curve (AUC) and the incidence of rejection has been proposed. Furthermore, sirolimus can be measured in whole blood by several assays--high-performance liquid chromatography with detection by tandem mass spectrometry, or with ultraviolet detection, radioreceptor assay or microparticle enzyme immunoassay. Both experimental animal and clinical data suggest that adverse events and their associated severity are correlated with blood concentrations. To prevent rejection and minimise toxicity, a therapeutic range of 4-12 microg/L (measured via chromatographic assays) is recommended when sirolimus is used in conjunction with ciclosporin. If ciclosporin therapy is discontinued, a target trough range of 12-20 microg/L is recommended. Sirolimus pharmacokinetics display large inter- and intrapatient variability, which may change in specific patient populations due to disease states or concurrent immunosuppressants or other interacting drugs. Due to the long half-life of sirolimus, dosage adjustments would ideally be based on trough levels obtained more than 5-7 days after initiation of therapy or dosage change. Once the initial dose titration is complete, monitoring sirolimus trough concentrations weekly for the first month and every 2 weeks for the second month appears to be appropriate. After the first 2 months of dose titration, routine CPM of sirolimus is not necessary in all patients, but may be warranted to achieve target concentrations in certain populations of patients, but the frequency of further monitoring remains to be determined and should be individualised.

Hematocrit Influences Immunoassay Performance for the Measurement of Tacrolimus in Whole Blood

The comparison between the MEIA II and the EMIT assays for tacrolimus measurement and the interference by the hematocrit were evaluated in 93 samples from routine therapeutic monitoring at tacrolimus concentrations less than 9 microg/L (group A). Additionally, the incidence of false-positive results were determined in samples (n=46) from patients who were not receiving the drug (group B). In group A, no statistical differences were observed between the mean+/-SD values obtained by MEIA II (5.14+/-2.28 microg/L) and EMIT (4.61+/-1.79 microg/L). The correlation coefficient and the regression equation (95% CI) between both assays, were 0.761 and EMIT=1.088 (0.90, 1.35) MEIA II -0.38 (-1.65, -0.46), respectively. When the samples were stratified according to the hematocrit, the median differences between the methods (MEIA II minus EMIT) were as follows: hematocrit<or=25%, 0.45 microg/L; hematocrit 25%-35%, 0.30 microg/L; and hematocrit>35%, 0.25 microg/L (P=0.02). In group B, false-positive results (above the detection limit) were observed in 63.04% of samples analyzed by MEIA II and in 2.17% of samples analyzed by EMIT. The median differences in apparent tacrolimus results were significantly higher in the samples with the lowest hematocrit: 2.2 microg/L, 1.4 microg/L, and 0.0 microg/L in samples with hematocrit<or=25%, 25%-35%, and >35%, respectively. In conclusion, the differences in the tacrolimus results obtained by MEIA and EMIT assays were higher in samples from patients with hematocrit less than 25%, and the MEIA assay demonstrated a high incidence of false-positive results.

The Rationale for and Limitations of Therapeutic Drug Monitoring for Mycophenolate Mofetil in Transplantation

The addition of mycophenolate mofetil (MMF) to calcineurin inhibitor-based regimens reduces the incidence of acute rejection after kidney transplantation. The interpatient variability, changes over time of pharmacokinetic parameters, and the potential for drug interactions make the systemic exposure of mycophenolic acid (MPA) unpredictable at a fixed-dose regimen. An increase in plasma concentration of MPA significantly correlates with a decreased likelihood of an acute rejection after kidney or heart transplantation; therefore, a strategy of therapeutic drug monitoring for MMF therapy could improve outcome. Two large randomized, multicenter, prospective trials investigating the added value of therapeutic drug monitoring for MPA, by comparing fixed-dose treatment with concentration-controlled MMF treatment in kidney transplant recipients, are currently ongoing. More data are needed to fully establish the meaning of the reported prognostic value of preoperative inosine monophosphate dehydrogenase (IMPDH) activity, and longitudinal studies monitoring IMPDH activity after transplantation are eagerly awaited.

Population pharmacokinetics of tacrolimus in full liver transplant patients: modelling of the post-operative clearance

OBJECTIVE

To investigate the population pharmacokinetics of tacrolimus in an adult liver transplant cohort using routine drug monitoring data and to identify patient characteristics that influence pharmacokinetic parameters.

METHODS

Tacrolimus pharmacokinetics was studied in 37 adult patients using a population approach performed with NONMEM.

RESULTS

A one-compartment open model with linear absorption and elimination adequately described the data. The apparent clearance (CL) was approximately zero in the immediate post-operative days (PODs) and then rapidly increased as a function of POD to reach a plateau. This was modelled as a sigmoid relationship with the characteristic parameters CL(max) (plateau), TCL(50) (time to obtain 50% of the plateau) and gamma (coefficient of sigmoidicity). This clearance model was thought to describe the hepatic function regeneration after transplantation. Typical population estimates (percentage inter-individual variability) of CL(max), TCL50, and gamma and apparent distribution volumes (V) were 36 l/h (43%), 6.3 days (33%), and 4.9 l and 1870 l (49%), respectively. The CL(max) was negatively related to plasma albumin, and TCL50 was positively related to aspartate amino transferase (ASAT). Bayesian estimations performed at different POD times indicated that acceptable precisions in individual pharmacokinetic predictions could be obtained after the 15th POD.

CONCLUSION

Tacrolimus clearance modelling showed that there was a large variation in individual CL estimates up to the 15th day post-surgery. After this period, the mean error resulting from the Bayesian estimation was strongly decreased and this estimation method could be applicable and should limit tacrolimus monitoring.

Immunosuppressive drug monitoring - what to use in clinical practice today to improve renal graft outcome

Therapeutic drug monitoring (TDM) of immunosuppressive therapy is becoming an increasingly complex matter as the number of compounds and their respective combinations are continuously expanding. Unfortunately, in clinical practice, monitoring predose trough blood concentrations is often not sufficient for guiding optimal long-term dosing of these drugs. The excellent short-term results obtained nowadays in renal transplantation confer a misleading feeling of safety despite the fact that long-term results have not substantially improved, definitely not to a point where longer graft survival could counteract the increasing need for transplant organs and less toxicity and side-effects could ameliorate patient survival. It is therefore a challenging task to try to tailor immunosuppressive drug therapy to the individual patient profile and this in a time-dependent manner. For the majority of currently used immunosuppressive drugs, measurement of total drug exposure by determination of the dose-interval area under the concentration curve (AUC) seems to provide more useful information for clinicians in terms of concentration-exposure and exposure-response as well as reproducibility. To simplify this laborious way of measuring drug exposure, several validated abbreviated AUC profiles, accurately predicting the dose-interval AUC, have been put forward. Together with an increasing knowledge of the time-related pharmacokinetic behaviour of immunosuppressive drug and their metabolites, studies are focusing on how to apply abbreviated AUC sampling methods in clinical transplantation, taking into account the numerous factors affecting drug pharmacokinetics. Eventually, TDM using abbreviated AUC profiles has to be prospectively tested against classic methods of drug monitoring in terms of cost-effectiveness, feasibility and clinical relevance with the ultimate goal of improving patient and graft survival.

Effects of Hematocrit Value on Microparticle Enzyme Immunoassay of Tacrolimus Concentration in Therapeutic Drug Monitoring

The effects of hematocrit (Ht) value on microparticle enzyme immunoassay (MEIA) of tacrolimus concentration were examined in 1063 whole-blood samples from 42 transplant recipients (13 liver, 20 kidney, and 9 bone marrow transplantations). MEIA guarantees the test's assay quality for blood tacrolimus in samples with Ht values of 25% to 45%. However, 129 samples (29.3%) obtained from liver transplant recipients and 107 samples (61.5%) from bone marrow transplant recipients had lower Ht (<25%). Further, 81 blood samples (18.1%) with Ht > 45% were observed in kidney transplant patients. Twenty-five whole-blood samples with low Ht were tested by 3 assay methods for tacrolimus: MEIA, modified, corrected MEIA (cMEIA), and enzyme-linked immunosorbent assay (ELISA). MEIA gave higher blood concentrations of tacrolimus than ELISA (16.1 versus 11.0 ng/mL, P < 0.001). This difference was generated by overestimation in MEIA and was not observed in samples with normal Ht. This overestimation was eliminated by using cMEIA on samples with low Ht values: there was no difference in blood tacrolimus concentration between cMEIA and ELISA (12.3 versus 11.0 ng/mL). ELISA or cMEIA should be used for tacrolimus assay in samples obtained from bone marrow transplant recipients with anemia and from liver and kidney transplant recipients with unstable Ht values.

Cost-Effectiveness of Therapeutic Drug Monitoring

There are a number of effective but highly toxic drugs that exhibit a narrow therapeutic index and marked interpatient pharmacokinetic variability. Individualized therapy with such drugs requires therapeutic drug monitoring (TDM) to obtain the desired clinical effects safely. Cost-effectiveness analysis in health care is still at an early stage of development, especially for TDM. A systematic review was carried out to document studies that have addressed the cost-effectiveness of TDM. The Cochrane database and Medline were searched. References identified by this approach were then searched manually for relevant articles. Very few studies have been performed that document the cost-effectiveness of TDM, and TDM has been demonstrated to be cost-effective only for aminoglycosides. For the other classes of drugs that are monitored, the rationale for TDM has been supported, but appropriate cost-effectiveness analyses have not been performed. Because the use of many of these drugs without TDM would increase the risk of under- or overdosing, emphasis should not be placed solely on cost-effectiveness but rather on how such interventions can be applied in the most cost-effective and clinically useful manner.

Immunosuppressant Drug Monitoring: Is the Laboratory Meeting Clinical Expectations?

OBJECTIVE:

To review the literature relating to immunosuppressant drug measurement as performed in therapeutic drug monitoring laboratories associated with transplantation centers and consider whether the assay methods widely used for patient dosage management achieve acceptable quality criteria in the context of other sources of variability with these drugs.

DATA SOURCES:

Articles used were accessed primarily through MEDLINE, as well as references cited in related publications. Searches were restricted to organ transplantation in humans.

STUDY SELECTION AND DATA EXTRACTION:

Emphasis was placed on the literature relating to the quality of immunosuppressant drug assays, their limitations, and evidence of clinical benefit in dosage individualization.

DATA SYNTHESIS:

There is a dilemma evident between the quality of the analytical services offered by some diagnostic immunoassay manufacturers and the ability of a significant number of clinical laboratories globally to select only appropriate assay methods.

CONCLUSIONS:

In many cases, clinical laboratories fail to meet the reasonable clinical expectations required for interpretation of immunosuppressant drug assay results as an adjunct to optimal dosage individualization and patient care.

Therapeutic drug monitoring of cyclosporine

The introduction of cyclosporine into clinical practice improved transplant outcome. However, the use of cyclosporine is not without problems. A narrow therapeutic index (the drug causes irreversible kidney damage when given in too high a dose) coupled with variable absorption and unpredictable pharmacokinetics has resulted in the need to measure cyclosporine blood concentrations to enable the dose of the drug to be individualised to the patient. When this is done correctly therapeutic efficacy can be maximised while toxicity is kept to a minimum. The evolution of cyclosporine dose optimisation started with the adjustment of empirical fixed doses by clinical "judgement;" progressed to therapeutic drug monitoring of trough, predose, C0 concentration with non specific assays that measured parent drug and metabolite; then on to "specific" cyclosporine C0 measurements; through area under curve monitoring using full profile measurements and limited sampling scheme procedures; and finally ending up with absorption profiling that targets AUC in the first 4 hours or the 2 hour blood cyclosporine concentration, C2. At the same time the formulation of cyclosporine has changed from Sandimmune to Neoral and now generic forms of the latter are available. The evidence base supporting C2 monitoring continues to grow and the technique will need to be customised as new combination therapies emerge. Therapeutic drug monitoring of cyclosporine may also need to be tailored to avoid the potential negative impact of switching patients to generic forms of the drug.

Pre-transplant inosine monophosphate dehydrogenase activity is associated with clinical outcome after renal transplantation

Mycophenolate mofetil (MMF), an inhibitor of inosine monophosphate dehydrogenase (IMPDH) activity, is usually administered as a standard dose of 1 g b.i.d. after renal transplantation. Because MMF dose reductions are associated with inferior outcome, we investigated pre-transplant IMPDH activity, MMF dose reductions and outcome. IMPDH activity was determined in isolated peripheral mononuclear cells immediately prior to renal transplantation. We observed considerable inter-individual variability in pre-transplant IMPDH activity (9.35 +/- 4.22 nmol/mg/h). Thirty of 48 patients (62.5%) with standard MMF dose (1 g b.i.d.) had dose reductions within 3 years post-transplant; these patients also had significantly lower IMPDH activity. The area under the receiver-operating characteristics curve (AUC-ROC) for prediction of dose reduction within 6 months post-transplant was 0.75 (95% CI, 0.61-0.89; p < 0.004). IMPDH activity above the cut-off value, MMF dose reduction and age of recipient were significant contributors for the occurrence of acute rejection in the multivariate logistic regression. Patients with high IMPDH activity and MMF dose reduction had the highest rejection rate (81.8% vs. 36.4%; p < 0.01).

CONCLUSION

Patients with low IMPDH activity experienced more complications of MMF therapy. High pre-transplant IMPDH activity and MMF dose reductions were associated with rejection. Determination of IMPDH activity prior to transplantation may help to improve MMF therapy after renal transplantation.

The EMIT 2000 tacrolimus assay: an application protocol for the Beckman Synchron LX20 PRO analyzer

OBJECTIVE

To develop and evaluate the performance of an application protocol for the EMIT 2000 tacrolimus (Tac) assay on the Beckman Synchron LX20 PRO Analyzer.

DESIGN AND METHODS

Precision, accuracy, linearity, and lower limit of quantitation were investigated. Specimens from 212 kidney, liver, heart/heart-lung, and islet cell transplant patients were analyzed and results were compared to those from the Abbott MEIA II assay. A separate population of 232 specimens was coanalyzed by the enzyme-multiplied immunoassay technique (EMIT) assay and liquid chromatography tandem mass spectrometry (LC-MS/MS).

RESULTS

Total imprecision was 13.7% and 6.0% at concentrations of 3.4 and 19.1 microg/L, respectively. Recoveries from assayed reference materials ranged from 103% to 109%. A quantitation range of 3.2-30.0 microg/L was validated. The EMIT assay on the LX20 PRO analyzer showed an average negative bias of 1% compared to the MEIA assay and an average positive bias of 17% compared to LC-MS/MS.

CONCLUSION

This application for the EMIT 2000 Tac assay on the Beckman Synchron LX20 PRO analyzer enhances the versatility of the immunoassay for routine therapeutic drug monitoring (TDM) of this immunosuppressant in the clinical setting.

Analytic Aspects of Cyclosporine Monitoring, on Behalf of the IFCC/IATDMCT Joint Working Group

The use of therapeutic drug monitoring strategies for cyclosporin (CsA) has evolved markedly in recent years since previous consensus guidelines were presented. Apart from the introduction of some new methods, the major change has been the shift away from the traditional predose/trough (C0) sample. The most popular alternative has been shown to be a 2-hour postdose (C2) sample. This has presented a challenge to clinical laboratories where typical C2 sample concentrations exceed the upper limit of the calibration range for their chosen CsA method, hence requiring an accurate dilution to be performed. Data from the Australian/New Zealand survey, as well as that in the International CsA Proficiency Testing Program, have demonstrated both a plethora of dilution protocols and resultant widespread failure of many laboratories to obtain accurate results. This paper compares data from several independent sources, pointing to international problems for reliable CsA measurement in clinical laboratories. This includes the CsA method selection criteria adopted by a large percentage of laboratories in various surveys, indicating that the least specific mFPIA methods have been widely adopted.

Therapeutic Drug Monitoring of Immunosuppressant Drugs by High-Performance Liquid Chromatography–Mass Spectrometry

The currently expanding range of immunosuppressant agents has placed new challenges on therapeutic drug-monitoring (TDM) services. Many of these drugs require the measurement of concentrations with subsequent dosage adjustment to maximize efficacy while minimizing toxicity. HPLC-mass spectrometry (HPLC-MS) is a relatively new technique for drug quantification and thus TDM of immunosuppressant drugs. Although mass spectrometry relies on producing, differentiating, and detecting ions in the gas phase, the development of the atmospheric pressure ionization interface (electrospray and chemical ionization) has enabled the direct coupling of solution introduction of compounds, via HPLC, to the mass analyzer. The impetus for using HPLC-MS for immunosuppressant measurement has come from the highly potent low-dose immunosuppressant drugs tacrolimus and sirolimus, which have low nanogram per milliliter circulating concentrations. A number of strategies have been reported for sample preparation and ways to automate these processes with solid-phase extraction and 2-dimensional chromatography. The disadvantages of HPLC-MS are initial cost of equipment and availability of suitably skilled scientific staff. The advantages of HPLC-mass spectrometry are high sensitivity, specificity, small sample requirements, minimal sample preparation, rapid throughput, and simultaneous measurement. Further, scientists have the ability to develop methods to measure new immunosuppressant drugs by HPLC-MS before commercial assays become available. With potential applications increasing in immunosuppressive drug monitoring, it can be envisaged that HPLC-MS may become standard equipment in TDM laboratories of the future.

Experience with cyclosporine

The concentration at 2 hours after drug intake (C2) is proposed to optimise clinical outcomes in organ transplantation and for adjustment of the regimen of cyclosporine. A population based pharmacokinetic study was undertaken during the first 30 days post-liver transplantation. Preliminary results observed during this study on C0 and C2 values are described here. Thirty-seven patients with first hepatic transplantation were included in a single center, prospective study conducted under conditions of normal practice. Dose adjustments were made according to C0. Cyclosporine C0 and C2 were assayed by an immunoassay (EMIT) and by a HPLC technique. Clinical outcome was assessed by occurrence and severity of acute rejection. Our data shows that average blood C0 and C2 concentrations are significantly different with the two techniques. From the third day to the end of the study, mean C2 (EMIT) were within or near the recommended values. This was associated with a low rejection rate (8.8%). Nevertheless, individual values are largely dispersed and low cyclosporine absorption profiles are identified. Mean cyclosporine dose was low compared to a previous study (7.65 +/- 4.28 mg/kg/day). Our data suggest that the target ranges need to be adjusted when different techniques are applied and that optimal cyclosporine regimen to achieve the C2 goal and low rejection rate remains to be defined. Pharmacokinetic models based on population study are needed to describe normal and abnormal cyclosporine absorption profiles with higher accuracy.

Monitoring Cyclosporine of Pre-dose and Post-dose Samples Using Nonextraction Homogeneous Immunoassay

A nonextraction homogeneous immunoassay (CEDIA Cyclosporine Plus Assay) has been developed for the measurement of cyclosporine in predose (trough) and post-dose (C2 to C8) whole-blood samples. The method includes a low-range assay that measures cyclosporine from 25 to 450 ng/mL in pre-dose samples and a high-range assay that detects cyclosporine from 450 to 2000 ng/mL in post-dose samples. The high-range assay allows a direct measurement of post-dose samples without a dilution step. Alternatively, post-dose samples can be correctly measured by the low-range assay following a twofold dilution. Using an NCCLS precision protocol, the assay exhibited less than 10% CV or error less than the functional sensitivity. Functional sensitivity of the low-range assay was demonstrated at 20 ng/mL cyclosporine. Cross-reactivity was measured in the presence of cyclosporine and was found to be 4.4%, 19.8%, 16.4%, 0.9%, 1.0%, and 1.6% for metabolites AM1, AM9, AM4n, AM19, AM4n9, and AM1c, respectively. When 53 samples were evaluated using an HPLC method, the three most significant cross-reactive metabolites, AM1, AM4n, and AM9, exhibited an average concentration profile of 123%, 19%, and 0.06% of the parent cyclosporine, respectively. The average total contribution to cyclosporine quantification from these metabolites was estimated at 7.2% based on the percentage cross-reactivity of each metabolite in the CEDIA assay and the concentration of each metabolite as determined by HPLC. The method comparison study revealed a linear regression correlation of CEDIA = 1.095 x HPLC + 6.6, r = 0.972, for the low-range assay, and CEDIA = 1.018 x HPLC - 36.4, r = 0.968, for the high-range assay. In conclusion, the CEDIA Cyclosporine Plus Assay is a precise and accurate method for quantification of cyclosporine in pre-dose and post-dose samples.

The pharmacogenetics of immunosuppression for organ transplantation: a route to individualization of drug administration

Transplantation has transformed the treatment of patients with organ failure in a number of clinical settings, and immunosuppressive drug therapy is fundamental to its success. However, all the drugs in current use have a narrow therapeutic index. Under-dosing can lead to rejection, while over-dosing increases the risks of infection, malignant disease, and serious drug-specific adverse effects, including diabetes mellitus, nephrotoxicity, hypertension, and hyperlipidemia. Heterogeneity in the pharmacokinetics of these drugs makes initial dose determination difficult, as there is a poor correlation between dose and blood concentration. This results in difficulties in achieving target blood concentrations early after transplantation, which are important for reducing the rate of immunological rejection. This problem is compounded by the observation that neither drug dose nor drug blood concentration accurately predict clinical efficacy or toxicity. The main determinant of heterogeneity in dose requirements is intestinal absorption of the active drug. The oxidative enzymes, cytochrome P450 (CYP) 3A4 and CYP3A5, and the drug efflux pump P-glycoprotein (P-gp) in enterocytes regulate this process. Most substrates for the P-gp pump are also substrates for the CYP3A enzymes. An efficient barrier to xenobiotic absorption is formed by the CYP enzymes and P-gp, and by the two systems working synergistically. Genetic polymorphisms have been reported for the genes associated with the expression of the CYP3A enzymes and P-gp. Genotyping patients for CYP3A genes has the potential to aid the establishment of optimal dosage regimens for transplant patients. Genetic polymorphism of the multiple drug resistance gene-1 (MDR1, also known as ABCB1) [3435C/T] and the CYP3A5 genes (CYP3A5*1, CYP3AP1*1) have the greatest potential to influence the pharmacokinetics of immunosuppressants. Homozygosity of the T allele of the MDR1 3435C/T polymorphism has been associated with reduced enterocyte expression of P-gp resulting in increased drug absorption. The presence of the CYP3A5*1 allele is necessary for the production of a fully catalytic CYP3A5 protein, and also influences the ratio of CYP3A4 : CYP3A5 as well as the overall CYP3A catalytic activity. The CYP3A4 : CYP3A5 ratio may, in turn, influence the pattern of drug metabolites formed. Heterogeneity in the production of active and inactive metabolites has implications for both the pharmacokinetics and pharmacodynamics of these drugs.Gene frequencies and drug dose requirements differ between ethnic groups. Ethnic differences in dose requirements for immunosuppressants have been discussed widely. However, ethnicity is a rather crude marker for genotype. Pharmacogenetic typing offers the possibility of significant improvement in the individualization of immunosuppressive drug prescribing with reduced rates of rejection and toxicity.

Therapeutic monitoring of immunosuppressant drugs. Where are we?

The emergence of specific immunosuppressive drugs (cyclosporine, tacrolimus, mycophenolate mofetil and sirolimus) during the last two decades has contributed dramatically to the success of organ transplantation. However, optimum balance between therapeutic efficacy and the occurrence of side effects has been a real challenge for physicians, mainly due to inter- and intra-patient variability arising from pharmacokinetic, pharmacogenetic and pharmacodynamic individual properties. Therapeutic drug monitoring, defined as the measurement and interpretation of concentrations of these drugs in biological fluids, with as a final objective the prediction of organ responses, became an integral part of transplant protocols. New analytical techniques became available with different performances in terms of specificity and sensitivity. In addition, there has been progress in understanding the mechanisms of action of these drugs that have implications for the development of better monitoring strategies and for their coprescription. The purpose of this review is to examine the current strategies in use for the therapeutic drug monitoring of immunosuppressant drugs and to discuss some of the factors that impinge on the monitoring of these drugs.