Endomyocardial, intralymphocyte, and whole blood concentrations of ciclosporin A in heart transplant recipients
© Robertsen et al.; licensee BioMedCentral Ltd. 2013
Received: 1 October 2012
Accepted: 20 March 2013
Published: 8 April 2013
In the early phases following heart transplantation a main challenge is to reduce the impact of acute rejections. Previous studies indicate that intracellular ciclosporin A (CsA) concentration may be a sensitive acute rejection marker in renal transplant recipients. The aims of this study were to evaluate the relationships between CsA concentrations at different target sites as potential therapeutic drug monitoring (TDM) tools in heart transplant recipients.
Ten heart transplant recipients (8 men, 2 women) on CsA-based immunosuppression were enrolled in this prospective single-center pilot study. Blood samples were obtained once to twice weekly up to 12 weeks post-transplant. One of the routine biopsies was allocated to this study at each sampling time. Whole blood, intralymphocyte, and endomyocardial CsA concentrations were determined with validated HPLC-MS/MS-methods. Mann–Whitney U test was used when evaluating parameters between the two groups of patients. To correlate whole blood, intralymphocyte, and endomyocardial CsA concentrations linear regression analysis was used.
Three patients experienced mild rejections. In the study period, the mean (range) intralymphocyte CsA trough concentrations were 10.1 (1.5 to 39) and 8.1 (1.3 to 25) ng/106 cells in the rejection and no-rejection group, respectively (P=0.21). Corresponding whole blood CsA concentrations were 316 (153 to 564) and 301 (152 to 513) ng/mL (P=0.33). There were no correlations between whole blood, intralymphocyte, or endomyocardial concentrations of CsA (P >0.11).
The study did not support an association between decreasing intralymphocyte CsA concentrations and acute rejections. Further, there were no association between blood concentrations and concentrations at sites of action, potentially challenging TDM in these patients.
KeywordsCiclosporin A Endomyocardial biopsies Heart transplantation Acute rejection T-lymphocytes
Heart transplantation is the final treatment option in end-stage heart failure and even though the procedure shows good results there is still room for improvement. In the early post-transplant phase a main challenge is to reduce the impact of acute rejections. The negative effects of the immunosuppressive therapy used to avoid acute rejection is however also a challenge in these patients. Hence, in the early phases following transplantation a combination of therapeutic drug monitoring (TDM) of immunosuppressive drugs and weekly endomyocardial biopsies are used to optimize the treatment for heart transplant recipients. A method with high specificity and accuracy to prevent graft rejection is an unmet clinical need.
Ciclosporin A (CsA) has been a cornerstone in the immunosuppressive therapy since its introduction in the mid 1980s. CsA is metabolized by the cytochrome P-450 3A (CYP3A) subfamily to >30 more or less pharmacologically active metabolites . In addition, CsA is both a substrate and an inhibitor of the efflux transporter P-glycoprotein (P-gp) . P-gp, coded by the ABCB1 gene, is expressed in T-lymphocytes and transports CsA out of the cell [2–4]. A previous study has shown that polymorphism in the ABCB1 gene may influence the intralymphocyte CsA concentration . These pharmacokinetic properties are the basis for the substantial intra- and interindividual variation in CsA concentration. CsA is associated with a numerous of severe side effects, resulting in a narrow therapeutic range which makes the TDM of the drug extra demanding. The current routine TDM of CsA is performed by measuring whole blood concentrations, either in trough samples or lately also in C2 samples. However, since CsA exerts its immunosuppressive effect within T-lymphocytes , measurement of CsA within these cells may provide more relevant information regarding the immunosuppressive effect of CsA than whole blood concentrations. Several groups have shown data that support this hypothesis in transplant recipients [5, 7–10]. We have recently shown that intracellular CsA concentration in T-lymphocytes decreased several days before an acute rejection was possible to diagnose in renal transplants by current standard clinical methods . Intracellular CsA concentration monitoring therefore seems to have a potential as a semi-invasive method for prediction of acute rejection episodes. The purpose of the study was to evaluate the relationships between CsA concentrations at different target sites, that is whole blood, lymphocytes, and endomyocardial tissue, and to investigate CsA concentrations in isolated T-lymphocytes from heart transplant recipients in order to further examine intracellular monitoring as a potential TDM tool. In addition, the patients’ genotype of P-gp was determined to investigate if genetic polymorphism in the ABCB1 gene could explain differences in the intralymphocyte concentration of CsA.
Patients and methods
Patients and study design
Ten heart transplant recipients (8 men and 2 women) with a mean age of 52 ± 12 years were enrolled in this single-center prospective pilot study. The patients were included 17 ± 6 days after transplantation and followed for a period of 70 ± 8 days. They all applied to standard post-transplant procedures at Oslo University Hospital, Rikshospitalet. All the patients were treated with C0-monitored CsA, mycophenolate mofetil (MMF), and steroids according to the center immunosuppressive protocol at that time. The CsA treatment was initiated with 10 mg/kg orally on the day of transplantation followed by C0 monitoring with target concentrations of 250 to 350 ng/mL after 1 month and further tapered to 60 to 120 mg/mL after 1 year of treatment. All patients received 1.5 g MMF twice daily from the day of transplantation, the doses was further adjusted according to side effects. The patients received 0.2 mg/kg/day oral prednisolone from the second postoperative day and were further tapered to 0.1 mg/kg/day within the following months. None of the patients were given induction therapy. Patients were not allowed to use concomitant drugs that could interact with CsA pharmacokinetics.
Study specific whole blood samples (EDTA vacutainer tubes) for CsA analyses and T-lymphocyte isolation were taken in association with routine blood samples for standard clinical follow-up; twice weekly during the first weeks and thereafter weekly samples for the rest of the investigation period. Whole blood samples and isolated T-lymphocytes were frozen and stored at −20°C until analysis. Routine monitoring of these patients include series of six endomyocardial biopsies at post-transplant week 1, 2, 5, 7, 10, and 12. One of the six biopsies taken at each time-point was allocated for CsA analysis in this study. The biopsy was wrapped in a piece of aluminum foil and stored at −20°C until analysis. In addition, EDTA whole blood was drawn once during the study for determination of the recipients ABCB1 (1199G>A, 1236C>T, 2677G>A, 2677G>G, and 3435C>T) and CYP3A5 (*3 (6986A>G, splicing defect)) genotypes. All acute rejections were verified with a biopsy and classified according to the International Society for Heart and Lung Transplantation (ISHLT) standardized cardiac biopsy grading [11, 12].
The study was performed in accordance with the Declaration of Helsinki, local laws, and other regulations, and all patients signed a written informed consent before study start. The study was evaluated by the Regional Committee for Medical Research Ethics and approved by the Norwegian Medicines Agency. The study is registered on ClinicalTrials.gov (NCT00139009).
T-lymphocytes were isolated from freshly drawn heparin whole blood using Prepacyte® (BioE, St Paul, MN, USA) . An aliquot of 100 μM of verapamil was pre-added to the heparin vacutainers to inhibit P-gp from pumping CsA out of the cells . Prepacyte® uses a negative selection process and facilitates the agglutination and precipitation of erythrocytes, B-lymphocytes, and mature myeloid cells like granulocytes, monocytes, and platelets, producing a supernatant of lymphocytes, highly enriched for T-cells. The excess of erythrocytes in the supernatant was removed by lysis using Vitalyse™. After centrifugation (400 g) and washing, the remaining supernatant contains >97% lymphocytes comprising 88% to 96% of the resultant cell population . To relate the intracellular concentration to a physiological parameter, cell count using a Bürker Chamber was performed. The cells were isolated within 4 h post sampling. The isolating method starts with 7 mL of whole blood and produces a T-lymphocyte isolate pellet to which was finally added 1 mL methanol:ACN:water (1:1:3) for cell lysis and protein precipitation. The mixture was stored at −20°C until solid phase extraction and subsequent analysis of CsA concentrations.
CsA and metabolite concentrations
Concentrations of CsA and six of its main metabolites were determined in whole blood, intracellularly in isolated T-lymphocytes, and in endomyocardial biopsies. The whole blood and intracellular CsA and metabolite concentrations were determined with a validated high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) method previously described . In brief, the analytes were extracted and purified by protein precipitation with methanol and centrifugation before the supernatants were subjected to solid phase extraction using Oasis hydrophilic-lipophilic balance cartridges. CsA and metabolites were separated chromatographically on a C8-colum before MS/MS detection. The intracellular concentration of CsA was related to the number of T-lymphocytes in the sample (ng/106 cells).
The concentration of CsA and two metabolites, AM1 and AM9, were determined in endomyocardial biopsies by using a modification of the method described above . After moistening the biopsy with 20 μL water for 5 min, the biopsy was weighed before homogenized in 150 μL deionized water with an automated tissue homogenizer; Precellys® 24 (Bertin Technologies, France), programmed to 2×50 s cycles with a 20-s pause. Fifty μL of the internal standard (0.5 μg/mL ciclosporin C (CsC) in methanol: acetonitrile (ACN): water (1:1:3)) was added to 100 μL homogenate and this mixture was protein precipitated with 100 μL ACN. Particulate matter was removed by centrifugation (30 min, 12,000 g, 4°C) and the supernatant was evaporated to dryness under a stream of nitrogen gas. The eluate was reconstituted in 50 μL of 65% mobile phase A consisting of ACN/20 mM ammonium formate buffer (NH4 +COO-) pH 3.6 (20:80 v/v), and 35% mobile phase B, consisting of ACN/ NH4 +COO- (80:20 v/v), before injecting 20 μL on the LC-MS/MS system. The analytical system consisted of Aquity ultra performance liquid chromatography™ (UPLC) connected to a Micromass Quattro micro™ triple quadrupole mass spectrometry (MS) detector (Waters Corporation, USA) using electrospray ionization (ESI) interface. The detector was operated in a positive ion mode. Separation of the analytes was carried out on a reversed phase UPLC C18 column (100 × 2.1 mm, 1.7 μm) (Acquity UPLC BEH Shield C18, Waters, USA) and the column was heated to 70°C. The analytes were eluated using a stepwise gradient at the flow rate of 0.6 mL/min. The gradient program was as follows: 62% mobile phase A for 14 min followed by a gradually increase of mobile phase B to 100% for 7 min. One hundred per cent mobile phase B was held constant for 10 min and the system was finally re-equilibrated at start conditions for 5 min. Analysis run time per sample was 36 min. Calibration curves were produced from stock solutions of CsA, AM1, and AM9, which were mixed with the internal standard (CsC), evaporated to dryness under a stream of nitrogen gas and reconstituted in 65% mobile phase A and 35% mobile phase B. All standard curves comprised of at least eight concentration levels, including a blank sample (0.0 to 80 ng/mL). The regression coefficients (r2) of the linear standard curves were >0.998 and for both CsA and the metabolites the validation parameters for precision and accuracy (intra- and inter-run) were <9%.
Genotyping was performed as previously described, using a polymerase chain reaction (PCR) - restriction fragment length polymorphism assay . Restriction enzyme digestion generated DNA fragments that were separated by electrophorese on 3% agarose gels. All the patients were screened for relevant polymorphism in CYP3A5 (*3 (6986A>G, splicing defect)) and ABCB1 (1199G>A, 1236C>T, 2677G>T, 2677G>A, 2677G>G, and 3435C>T). Dr D Katz (Abbott Laboratories, Abbot Park, IL (MDR1)) and Dr R van Schaik (Department of Clinical Chemistry Erasmus MC, The Netherlands (CYP3A5)) kindly supplied positive controls.
Statistics and calculations
Mann–Whitney U test was used when evaluating parameters between the two groups of patients. To correlate whole blood, intralymphocyte, and endomyocardial CsA concentrations linear regression analysis was used. Statistical significant differences were considered for P values <0.05. All statistical analyses were performed using SPSS version 19. The renal function was estimated using the Modification of Diet in Renal Disease (MDRD) formula [18, 19].
Demographic data at time of inclusion
76.7 ± 18.0
73.9 ± 19.5
83.3 ± 15.0
51.9 ± 11.9
51.0 ± 12.9
54.0 ± 11.5
CsA dose (mg/day)
330 ± 115
293 ± 116
417 ± 57.7
CsA C0 (ng/mL)
245 ± 59.3
239 ± 71.7
257 ± 10.4
Plasma creatinine (μmol/L)
131 ± 55
146 ± 59.8
96.5 ± 16.5
Creatinine clearance (mL/min)
58.0 ± 21.4
50.3 ± 18.9
77.6 ± 14.7
Serum urea (mmol/L)
10.5 ± 5.3
10.8 ± 6.0
9.8 ± 3.8
32.3 ± 4.2
32.3 ± 4.9
32.5 ± 0.7
Steroid dose (mg/day)
14.8 ± 3.8
13.6 ± 3.7
17.5 ± 2.5
Treated with MMF
Intracellular T-lymphocyte and whole blood concentrations of CsA
CsA metabolites, genotypes, and renal function
Patient’s genotyping of ABCB1 and CYP3A5
Concentration of CsA and metabolites in endomyocardial biopsies
Nineteen biopsies, from seven out of the 10 patients, were obtained for the current study. Only one out of these seven patients was in the rejection group. In these patients an average of 2.7 (range, 1 to 6) biopsies per patient were analyzed for concentrations of CsA and two metabolites, AM1 and AM9. CsA concentration varied from 216 to 833 pg/mg heart tissue. No correlations were found between endomyocardial CsA concentrations and whole blood (r2=0.029, P=0.48) or intralymphocyte concentrations (r2=0.055, P=0.35). There was no obvious association between the endomyocardial concentration of CsA and rejection episodes.
The present pilot study does not support the hypothesis of decreased intracellular T-lymphocyte concentration of CsA prior to rejection episodes. The main finding, however, was that there were no correlations between CsA concentrations in whole blood, T-lymphocytes, or endomyocardial tissue.
Gustafsson and colleagues are, to our knowledge, the only group who previously has measured intralymphocyte CsA concentration in heart transplant recipients . The study discovered a close association between whole blood CsA C2 concentrations and lymphocyte CsA AUC0-12 in MMF treated patients. This is contradictory to our findings where no correlation between CsA in whole blood and T-lymphocytes was found. A possible explanation to this discrepancy could be the fact that Gustafsson et al. performed measurement of whole blood CsA concentration in C2 samples and determined lymphocyte CsA AUC0-12, while in the present study CsA concentration were measured in C0 samples. C2 monitoring leads to an improvement in the clinical outcomes in heart transplant recipients [20, 21] and measuring whole blood C2 concentrations could perhaps more precisely predict the CsA concentration and, in turn AUC, within lymphocytes. Nevertheless, our results are in agreement with previous studies reporting of no correlation between CsA concentration in whole blood and lymphocytes [22, 23]. Although these studies were performed in different patient populations (renal transplant recipients and healthy volunteers), the findings demonstrate that whole blood CsA concentrations may not be a good predictor of the target site concentration of CsA. To the best of our knowledge, the present pilot study is the first to report of CsA concentration in endomyocardial tissue and to show the absence of correlation with both whole blood and intralymphocyte CsA concentrations in heart transplant recipients. In a recent study, Capron et al. evaluated the correlation of intrahepatic, peripheral mononuclear cells (PBMC) and blood concentrations of tacrolimus (Tac), another calcineurin inhibitor, in liver transplant recipients. In this study, no correlation was found between mean Tac blood concentration and PBMC or intrahepatic concentration of Tac. However, it was discovered that intrahepatic Tac concentration significantly correlated with Tac PBMC concentrations . Capron et al. have earlier showed that hepatic tissue concentrations of Tac correlated with early acute rejection after liver transplantation, this in contrast to blood concentrations . These findings also suggest that direct drug measurement at the target sites (lymphocytes and graft tissue) could be a better approach than measuring whole blood concentration to predict the efficacy of immunosuppressive drugs.
The present pilot study failed to show correlation between intracellular CsA concentration in T-lymphocytes and acute rejection episodes. Several other groups have however shown a possible correlation between low intracellular CsA concentration and rejection episodes in renal transplant recipients. A study conducted by Barbari et al. demonstrated that rejecting patients exhibited a low CsA lymphocyte content despite a higher or similar CsA blood concentration . Similarly, we have shown that renal transplant recipients experiencing a rejection episode had a lower intracellular exposure of CsA several days before clinical diagnosis of acute rejection episodes . The difference observed between renal and heart transplant recipients in this respect have no obvious explanation. However, as mentioned before C2 concentrations are known to correlate better with acute rejections compared to trough concentrations  and it was C2 concentrations that were used in our previous study . Further, it cannot be ruled out that the renal transplant recipients experiencing an acute rejection episode had a stronger immune response compared to rejecting patients in the present study.
Since CsA is both a substrate and an inhibitor of P-gp, the patients’ genotype for this efflux pump was determined as it is expressed in T-lymphocytes. The ABCB1 haplotype TTT (1236T, 2677T and 3435T) has previously been associated with impaired functional transport activity . In the present study only three patients experienced an acute rejection episode. Two of the three rejection patients were homozygote ABCB1 TTT haplotypes, but all patients included in the study were potential TTT haplotypes. This makes the interpretation of the data difficult, but if the hypothesis that acute rejection episode are associated with lower intracellular CsA concentrations should hold true, it would be expected that rejection patients have high transport activity of P-gp, contradictory to our findings [7, 27].
Renal failure is a frequent and recognized complication following heart transplantation and CsA has been implicated as a potential risk factor [28–31]. Previous studies indicate that elevated blood and urine concentrations of the secondary metabolites AM19, AM1c, and AM1c9 may be associated with renal dysfunction in CsA treated patients [31–35], and that CYP3A5 expressers have higher formation of the secondary metabolites AM19 and AM1c9 . Contrary, in renal transplant recipients on Tac-based immunosuppression, a protective role of CYP3A5 expression in the kidney has been observed . By contrast to previous findings [31–35, 38], the present study did not show any tendencies of a reduced renal function by an increased concentration of the secondary metabolites or functional CYP3A5 genotypes. This should however be carefully interpreted as the power is relatively low as outlined below.
The main limitation of this pilot study is the low sample size and only three patients experienced acute rejection episodes. This clearly limits the conclusion that could be drawn. In addition, CsA concentrations were measured in trough samples and not in C2 samples. The intralymphocyte CsA concentration displayed a high intra- and interindividual variation, and this could partly be explained by the complex isolation procedure and the low level of automatization of the T-lymphocyte isolation method.
The main finding of the present pilot study was that no correlation between CsA concentrations in whole blood, T-lymphocytes or endomyocardial tissue was present in heart transplant recipients. In addition, results from the present study do not support previous findings that CsA concentrations within T-lymphocytes decrease days before acute rejection episodes are diagnosed. The small sample size clearly limits the extent to which any definitive conclusion could be drawn. However, both findings are relevant with regards to TDM of CsA in this population and should be further investigated in properly powered clinical trials.
Area under the concentration versus time curve
Concentration before dose (trough)
Concentration 2 hours after dose
High performance liquid chromatography-tandem mass spectrometry
Modification of diet in renal disease
Peripheral blood mononuclear cells
Polymerase chain reaction
Therapeutic drug monitoring
Ultra performance liquid chromatography
The authors thank Siri Johannesen at the School of Pharmacy as well as Anne Relbo and Ingelin Grov at the Department of Cardiology, Oslo University Hospital for their professional assistance during collection and preparation of samples.
- Christians U, Sewing KF: Cyclosporine metabolism in transplant patients. Pharmacol Ther. 1993, 57: 291-345. 10.1016/0163-7258(93)90059-M.View ArticlePubMedGoogle Scholar
- Saeki T, Ueda K, Tanigawara Y, Hori R, Komano T: Human p-glycoprotein transports cyclosporine A and FK506. J Biol Chem. 1993, 268: 6077-6080.PubMedGoogle Scholar
- Chaudhary PM, Mechetner EB, Roninson IB: Expression and activity of the multidrug resistance p-glycoprotein in human peripheral-blood lymphocytes. Blood. 1992, 80: 2735-2739.PubMedGoogle Scholar
- Lown KS, Mayo RR, Leichtman AB, Hsiao HL, Turgeon DK, SchmiedlinRen P, Brown MB, Guo WS, Rossi SJ, Benet LZ, Watkins PB: Role of intestinal P-glycoprotein (mdr1) in interpatient variation in the oral bioavailability of cyclosporine. Clin Pharmacol Ther. 1997, 62: 248-260. 10.1016/S0009-9236(97)90027-8.View ArticlePubMedGoogle Scholar
- Crettol S, Venetz JP, Fontana M, Aubert JD, Ansermot N, Fathi M, Pascual M, Eap CB: Influence of ABCB1 genetic polymorphisms on cyclosporine intracellular concentration in transplant recipients. Pharmacogenet Genomics. 2008, 18: 307-315. 10.1097/FPC.0b013e3282f7046f.View ArticlePubMedGoogle Scholar
- Liu J, Farmer JD, Lane WS, Friedman J, Weissman I, Schreiber SL: Calcineurin is a common target of cyclophilin-cyclosporin A and FKBP-FK506 complexes. Cell. 1991, 66: 807-815. 10.1016/0092-8674(91)90124-H.View ArticlePubMedGoogle Scholar
- Falck P, Asberg A, Guldseth H, Bremer S, Akhlaghi F, Reubsaet JLE, Pfeffer P, Hartmann A, Midtvedt K: Declining intracellular T-lymphocyte concentration of cyclosporine a precedes acute rejection in kidney transplant recipients. Transplantation. 2008, 85: 179-184. 10.1097/TP.0b013e31815feede.View ArticlePubMedGoogle Scholar
- Barbari AG, Masri M, Stephan AG, El Ghoul B, Rizk S, Mourad N, Kamel GS, Kilani HE, Karam AS: Cyclosporine lymphocyte maximum level monitoring in de novo kidney transplant patients: a prospective study. Exp Clin Transplant. 2006, 4: 400-405.PubMedGoogle Scholar
- Barbari A, Masri MA, Stephan A, Mokhbat J, Kilani H, Rizk S, Kamel G, Joubran N: Cyclosporine lymphocyte versus whole blood pharmacokinetic monitoring: correlation with histological findings. Transplant Proc. 2001, 33: 2782-2785. 10.1016/S0041-1345(01)02190-X.View ArticlePubMedGoogle Scholar
- Gustafsson F, Barth D, Delgado DH, Nsouli M, Sheedy J, Ross HJ: The impact of everolimus versus mycophenolate on blood and lymphocyte cyclosporine exposure in heart-transplant recipients. Eur J Clin Pharmacol. 2009, 65: 659-665. 10.1007/s00228-009-0663-2.View ArticlePubMedGoogle Scholar
- Winters GL, Marboe CC, Billingham ME: The international society for heart and lung transplantation grading system for heart transplant biopsy specimens: clarification and commentary. J Heart Lung Transplant. 1998, 17: 754-760.PubMedGoogle Scholar
- Stewart S, Winters GL, Fishbein MC, Tazelaar HD, Kobashigawa J, Abrams J, Andersen CB, Angelini A, Berry GJ, Burke MM, Demetris AJ, Hammond E, Itescu S, Marboe CC, McManus B, Reed EF, Reinsmoen NL, Rodriguez ER, Rose AG, Rose M, Suciu-Focia N, Zeevi A, Billingham ME: Revision of the 1990 working formulation for the standardization of nomenclature in the diagnosis of heart rejection. J Heart Lung Transplant. 2005, 24: 1710-1720. 10.1016/j.healun.2005.03.019.View ArticlePubMedGoogle Scholar
- Berhanu D, Mortari F, De Rosa SC, Roederer M: Optimized lymphocyte isolation methods for analysis of chemokine receptor expression. J Immunol Methods. 2003, 279: 199-207. 10.1016/S0022-1759(03)00186-8.View ArticlePubMedGoogle Scholar
- Goldberg H, Ling V, Wong PY, Skorecki K: Reduced cyclosporin accumulation in multidrug-resistant cells. Biochem Biophys Res Commun. 1988, 152: 552-558. 10.1016/S0006-291X(88)80073-1.View ArticlePubMedGoogle Scholar
- Collins DP: Cytokine and cytokine receptor expression as a biological indicator of immune activation: important considerations in the development of in vitro model systems. J Immunol Methods. 2000, 243: 125-145. 10.1016/S0022-1759(00)00218-0.View ArticlePubMedGoogle Scholar
- Falck P, Guldseth H, Asberg A, Midtvedt K, Reubsaet JLE: Determination of ciclosporin A and its six main metabolites in isolated T-lymphocytes and whole blood using liquid chromatography-tandem mass spectrometry. J Chromatogr B. 2007, 852: 345-352. 10.1016/j.jchromb.2007.01.039.View ArticleGoogle Scholar
- Cascorbi I, Gerloff T, Johne A, Meisel C, Hoffmeyer S, Schwab M, Schaeffeler E, Eichelbaum M, Brinkmann U, Roots I: Frequency of single nucleotide polymorphisms in the P-glycoprotein drug transporter MDR1 gene in white subjects. Clin Pharmacol Ther. 2001, 69: 169-174. 10.1067/mcp.2001.114164.View ArticlePubMedGoogle Scholar
- Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D, Group* ftMoDiRDS: A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Ann Intern Med. 1999, 130: 461-470. 10.7326/0003-4819-130-6-199903160-00002.View ArticlePubMedGoogle Scholar
- Buron F, Hadj-Aissa A, Dubourg L, Morelon E, Steghens JP, Ducher M, Fauvel JP: Estimating glomerular filtration rate in kidney transplant recipients: performance over time of four creatinine-based formulas. Transplantation. 2011, 92: 1005-1011.PubMedGoogle Scholar
- Delgado DH, Rao V, Hamel J, Miriuka S, Cusimano RJ, Ross HJ: Monitoring of cyclosporine 2-hour post-dose levels in heart transplantation: improvement in clinical outcomes. J Heart Lung Transplant. 2005, 24: 1343-1346. 10.1016/j.healun.2004.08.002.View ArticlePubMedGoogle Scholar
- Davies RA, Veinot JP, Williams K, Haddad H, Baker A, Donaldson J, Pugliese C, Struthers C, Masters RG, Hendry PJ, Mesana T: Assessment of cyclosporine pharmacokinetic parameters to facilitate conversion from C0 to C2 monitoring in heart transplant recipients. Transplant Proc. 2007, 39: 3334-3339. 10.1016/j.transproceed.2007.08.109.View ArticlePubMedGoogle Scholar
- Masri MA, Barbari A, Stephan A, Rizk S, Kilany H, Kamel G: Measurement of lymphocyte cyclosporine levels in transplant patients. Transplant Proc. 1998, 30: 3561-3562. 10.1016/S0041-1345(98)01437-7.View ArticlePubMedGoogle Scholar
- Ansermot N, Rebsamen M, Chabert J, Fathi M, Gex-Fabry M, Daali Y, Besson M, Rossier M, Rudaz S, Hochstrasser D, Dayer P, Desmeules J: Influence of ABCB1 gene polymorphisms and P-glycoprotein activity on cyclosporine pharmacokinetics in peripheral blood mononuclear cells in healthy volunteers. Drug Metab Lett. 2008, 2: 76-82. 10.2174/187231208784040951.View ArticlePubMedGoogle Scholar
- Capron A, Lerut J, Latinne D, Rahier J, Haufroid V, Wallemacq P: Correlation of tacrolimus levels in peripheral blood mononuclear cells with histological staging of rejection after liver transplantation: preliminary results of a prospective study. Transpl Int. 2012, 25: 41-47. 10.1111/j.1432-2277.2011.01365.x.View ArticlePubMedGoogle Scholar
- Capron A, Lerut J, Verbaandert C, Mathys J, Ciccarelli O, Vanbinst R, Roggen F, De Reyck C, Lemaire J, Wallemacq PE: Validation of a liquid chromatography-mass spectrometric assay for tacrolimus in liver biopsies after hepatic transplantation: correlation with histopathologic staging of rejection. Ther Drug Monit. 2007, 29: 340-348. 10.1097/FTD.0b013e31805c73f1.View ArticlePubMedGoogle Scholar
- Burckart GJ, Liu XMI: Pharmacogenetics in transplant patients - can it predict pharmacokine tics and pharmacodynamics?. Ther Drug Monit. 2006, 28: 23-30. 10.1097/01.ftd.0000194502.85763.bc.View ArticlePubMedGoogle Scholar
- Kemnitz J, Uysal A, Haverich A, Heublein B, Cohnert TR, Stangel W, Georgii A: Multidrug resistance in heart transplant patients - a preliminary communication on a possible mechanism of therapy-resistant rejection. J Heart Lung Transplant. 1991, 10: 201-210.PubMedGoogle Scholar
- Bennett WM: Insights into chronic cyclosporine nephrotoxicity. Int J Clin Pharmacol Therapeut. 1996, 34: 515-519.Google Scholar
- Bennett WM, DeMattos A, Meyer MM, Andoh T, Barry JM: Chronic cyclosporine nephropathy: the Achilles’ heel of immunosuppressive therapy. Kidney Int. 1996, 50: 1089-1100. 10.1038/ki.1996.415.View ArticlePubMedGoogle Scholar
- Herlitz H, Lindelow B: Renal failure following cardiac transplantation. Nephrol Dial Transplant. 2000, 15: 311-314. 10.1093/ndt/15.3.311.View ArticlePubMedGoogle Scholar
- Falck P, Fiane AE, Geiran OR, Åsberg A: Individual differences in cyclosporine A pharmacokinetics and its association with acute renal function following heart transplantation. Open Transplant J. 2009, 3: 9-13.View ArticleGoogle Scholar
- Rosano TG, Pell MA, Freed BM, Dybas MT, Lempert N: Cyclosporine and metabolites in blood from renal allograft recipients with nephrotoxicity, rejection, or good renal function - comparative high-performance liquid chromatography and monoclonal radioimmunoassay studies. Transplant Proc. 1988, 20: 330-338.PubMedGoogle Scholar
- Kohlhaw K, Wonigeit K, Schafer O, Ringe B, Bunzendahl H, Pichlmayr R: Association of very high blood levels of cyclosporine metabolites with clinical complications after liver transplantation. Transplant Proc. 1989, 21: 2232-2233.PubMedGoogle Scholar
- Wonigeit K, Kohlhaw K, Winkler M, Schaefer O, Pichlmayr R: Cyclosporine monitoring in liver allograft recipients- 2 distinct patterns of blood level derangement associated with nephrotoxicity. Transplan Proc. 1990, 22: 1305-1311.Google Scholar
- Christians U, Kohlhaw K, Budniak J, Bleck JS, Schottmann R, Schlitt HJ, Almeida VMF, Deters M, Wonigeit K, Pichlmayr R, Sewing KF: Ciclosporin metabolite pattern in blood and urine of liver graft recipients. 1. association of ciclosporin metabolites with nephrotoxicity. Eur J Clin Pharmacol. 1991, 41: 285-290. 10.1007/BF00314953.View ArticlePubMedGoogle Scholar
- Dai Y, Iwanaga K, Lin YS, Hebert MF, Davis CL, Huang WL, Kharasch ED, Thummel KE: In vitro metabolism of cyclosporine A by human kidney CYP3A5. Biochem Pharmacol. 2004, 68: 1889-1902. 10.1016/j.bcp.2004.07.012.View ArticlePubMedGoogle Scholar
- Zheng S, Tasnif Y, Hebert MF, Davis CL, Shitara Y, Calamia JC, Lin YS, Shen DD, Thummel KE: Measurement and compartmental modeling of the effect of CYP3A5 gene variation on systemic and intrarenal tacrolimus disposition. Clin Pharmacol Ther. 2012, 92: 737-745. 10.1038/clpt.2012.175.PubMed CentralView ArticlePubMedGoogle Scholar
- Kempkes-Koch M, Fobker M, Erren M, August C, Gerhardt U, Suwelack B, Hohage H: Cyclosporine A metabolite AM19 as a potential biomarker in urine for CSA nephropathy. Transplant Proc. 2001, 33: 2167-2169. 10.1016/S0041-1345(01)01929-7.View ArticlePubMedGoogle Scholar
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