Literature DB >> 10053038

Performance and specificity of monoclonal immunoassays for cyclosporine monitoring: how specific is specific?

W Steimer1.   

Abstract

BACKGROUND: Immunoassays designed for the selective measurement of cyclosporin A (CsA) inadvertently show cross-reactivity for CsA metabolites. The extent and clinical significance of the resulting overestimation is controversial. A comprehensive assessment of old and new methods in clinical specimens is needed.
METHODS: In a comprehensive evaluation, CsA was analyzed in 145 samples with the new CEDIA assay and compared with the Emit assay with the old and new pretreatments, the TDx monoclonal and polyclonal assays, the AxSYM, and HPLC. All samples were from patients with liver and/or kidney transplants.
RESULTS: The CEDIA offered the easiest handling, followed by the AxSYM, which showed the longest calibration stability. The TDx monoclonal assay provided the lowest detection limit and the lowest CVs. The mean differences compared with HPLC were as follows: Emit, 9-12%; CEDIA, 18%; AxSYM, 29%; and TDx monoclonal, 57%. The CycloTrac RIA paralleled the Emit results. In contrast to the mean differences, substantial (>200%) and variable overestimations of the CsA concentration were observed in individual patient samples. Metabolic ratios, estimates of the overall concentrations of several cross-reacting metabolites (nonspecific TDx polyclonal/specific reference method), correlated with the apparent biases of the various monoclonal assays. Metabolic ratios varied up to 10-fold, which translated into biases for individual samples between -7% and +174%. The higher the cross-reactivity of an assay was, the higher was the range of biases observed. The interindividual differences markedly exceeded other factors of influence (organ transplanted, hepatic function).
CONCLUSION: Because assay bias cannot be predicted in individual samples, substantially erratic CsA dosing can result. The specificity of CsA assays for parent CsA remains a major concern.

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Year:  1999        PMID: 10053038

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  12 in total

1.  Homogenous enzyme immunoassay for cyclosporine in whole blood using the EMIT 2000 cyclosporine specific assay with the COBAS MIRA-plus analyzer.

Authors:  S Kimura; S Iyama; Y Yamaguchi; Y Kanakura
Journal:  J Clin Lab Anal       Date:  2001       Impact factor: 2.352

2.  Multisite analytical evaluation of the Abbott ARCHITECT cyclosporine assay.

Authors:  Pierre Wallemacq; Gregory T Maine; Keith Berg; Thomas Rosiere; Pierre Marquet; Giuseppe Aimo; Giulio Mengozzi; Julianna Young; Kurt Wonigeit; Robert Kretschmer; Bendicht Wermuth; Rainer W Schmid
Journal:  Ther Drug Monit       Date:  2010-04       Impact factor: 3.681

Review 3.  Cyclosporin: an updated review of the pharmacokinetic properties, clinical efficacy and tolerability of a microemulsion-based formulation (neoral)1 in organ transplantation.

Authors:  C J Dunn; A J Wagstaff; C M Perry; G L Plosker; K L Goa
Journal:  Drugs       Date:  2001       Impact factor: 9.546

4.  Interferences in immunoassay.

Authors:  Jill Tate; Greg Ward
Journal:  Clin Biochem Rev       Date:  2004-05

5.  Cyclosporin therapeutic drug monitoring--an established service revisited.

Authors:  Raymond G Morris
Journal:  Clin Biochem Rev       Date:  2003-05

6.  A rapid HPLC-MS/MS method for the simultaneous quantification of cyclosporine A, tacrolimus, sirolimus and everolimus in human blood samples.

Authors:  Christoph Seger; Karin Tentschert; Wolfgang Stöggl; Andrea Griesmacher; Steven L Ramsay
Journal:  Nat Protoc       Date:  2009       Impact factor: 13.491

7.  External evaluation of population pharmacokinetic models for ciclosporin in adult renal transplant recipients.

Authors:  Jun-Jun Mao; Zheng Jiao; Hwi-Yeol Yun; Chen-Yan Zhao; Han-Chao Chen; Xiao-Yan Qiu; Ming-Kang Zhong
Journal:  Br J Clin Pharmacol       Date:  2017-11-03       Impact factor: 4.335

Review 8.  Pharmacokinetics, Pharmacodynamics and Pharmacogenomics of Immunosuppressants in Allogeneic Haematopoietic Cell Transplantation: Part I.

Authors:  Jeannine S McCune; Meagan J Bemer
Journal:  Clin Pharmacokinet       Date:  2016-05       Impact factor: 6.447

9.  Cyclosporine inhibition of hepatic and intestinal CYP3A4, uptake and efflux transporters: application of PBPK modeling in the assessment of drug-drug interaction potential.

Authors:  Michael Gertz; Catherine M Cartwright; Michael J Hobbs; Kathryn E Kenworthy; Malcolm Rowland; J Brian Houston; Aleksandra Galetin
Journal:  Pharm Res       Date:  2012-11-22       Impact factor: 4.200

10.  Evaluation of an In Silico PBPK Post-Bariatric Surgery Model through Simulating Oral Drug Bioavailability of Atorvastatin and Cyclosporine.

Authors:  A S Darwich; D Pade; K Rowland-Yeo; M Jamei; A Asberg; H Christensen; D M Ashcroft; A Rostami-Hodjegan
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2013-06-12
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