Literature DB >> 19258928

Multi-site analytical evaluation of the Abbott ARCHITECT tacrolimus assay.

Pierre Wallemacq1, Jean-Sebastien Goffinet, Susan O'Morchoe, Thomas Rosiere, Gregory T Maine, Myriam Labalette, Giuseppe Aimo, Diana Dickson, Ed Schmidt, Reinhard Schwinzer, Rainer W Schmid.   

Abstract

The objective of this study was to evaluate the analytical performance of the Abbott ARCHITECT Tacrolimus immunoassay. Proficiency panels and specimens from a population of organ transplant recipients were analyzed in 6 clinical laboratories in Europe and the United States, and the results were compared with other methods. The ARCHITECT assay requires a whole blood specimen pretreatment step with methanol/zinc sulfate to precipitate protein and extract the drug, followed by a 30-minute immunoassay using anti-tacrolimus antibody-coated paramagnetic microparticles and an acridinium-tacrolimus tracer. The assay was free from hematocrit interference in the range 25%-55% and from interference by extremes of cholesterol, triglycerides, bilirubin, total protein, and uric acid. The total percent of coefficient of variations of the assay were 4.9%-7.6% at 3 ng/mL, 2.9%-4.6% at 8.6 ng/mL, and 3.1%-8.2% at 15.5 ng/mL. Limit of detection was < or =0.5 ng/mL and limit of quantification (LOQ) ranged from 0.69 to 1.07 ng/mL across the 6 sites (based on the upper 95% confidence interval concentrations). The 2007 European Consensus Conference on Tacrolimus Optimization recommended the use of assay methods with an LOQ around 1 ng/mL, based upon the need to measure trough tacrolimus blood concentrations precisely down to 3 ng/mL during low-dose tacrolimus regimens. Tacrolimus International Proficiency Testing Scheme samples were measured by the ARCHITECT immunoassay at 5 sites and showed an average bias of -0.28 to +0.85 ng/mL versus IMx Tacrolimus II immunoassay historical values and -0.21 to +0.68 ng/mL versus liquid chromatography/tandem mass spectrometry (LC-MSMS) Tacrolimus historical values. Method comparison studies were performed with the ARCHITECT Tacrolimus immunoassay on patient specimens with the following results: ARCHITECT Tacrolimus assay versus the Abbott IMx Tacrolimus II immunoassay (4 sites) yielded average biases between -0.94 and +0.26 ng/mL; ARCHITECT assay versus the Dade Dimension Tacrolimus immunoassay (2 sites) yielded average biases of -0.46 and +0.11 ng/mL; and ARCHITECT assay versus LC-MSMS methods at 2 sites yielded average biases of +0.51 and +1.63 ng/mL. Spearman correlation coefficients were >/=0.90 on all method comparisons. The ARCHITECT Tacrolimus assay is a semiautomated, robust, and highly sensitive immunoassay, representing an alternative approach for laboratories not equipped with LC-MSMS, and meets the 1 ng/mL recommendation of LOQ by the European Consensus Conference on Tacrolimus Optimization.

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Year:  2009        PMID: 19258928     DOI: 10.1097/FTD.0b013e31819c6a37

Source DB:  PubMed          Journal:  Ther Drug Monit        ISSN: 0163-4356            Impact factor:   3.681


  19 in total

1.  The CYP3A biomarker 4β-hydroxycholesterol does not improve tacrolimus dose predictions early after kidney transplantation.

Authors:  Elisabet Størset; Kristine Hole; Karsten Midtvedt; Stein Bergan; Espen Molden; Anders Åsberg
Journal:  Br J Clin Pharmacol       Date:  2017-02-27       Impact factor: 4.335

2.  Pharmaceutical and genetic determinants for interindividual differences of tacrolimus bioavailability in renal transplant recipients.

Authors:  Takenori Niioka; Hideaki Kagaya; Masatomo Miura; Kazuyuki Numakura; Mitsuru Saito; Takamitsu Inoue; Tomonori Habuchi; Shigeru Satoh
Journal:  Eur J Clin Pharmacol       Date:  2013-06-04       Impact factor: 2.953

3.  Evaluation of Drug Sorption to PVC- and Non-PVC-based Tubes in Administration Sets Using a Pump.

Authors:  Su-Eon Jin; Siwon You; Seungho Jeon; Hyo-Jin Byon; Sung-Joo Hwang
Journal:  J Vis Exp       Date:  2017-03-11       Impact factor: 1.355

4.  Impact of the CYP3A5 genotype on the distributions of dose-adjusted trough concentrations and incidence of rejection in Japanese renal transplant recipients receiving different tacrolimus formulations.

Authors:  Takenori Niioka; Hideaki Kagaya; Mitsuru Saito; Takamitsu Inoue; Kazuyuki Numakura; Ryohei Yamamoto; Tomonori Habuchi; Shigeru Satoh; Masatomo Miura
Journal:  Clin Exp Nephrol       Date:  2017-03-07       Impact factor: 2.801

5.  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

6.  Performance of the Dimension TAC assay and comparison of multiple platforms for the measurement of tacrolimus.

Authors:  Eun-Jung Cho; Dae-Hyun Ko; Woochang Lee; Sail Chun; Hae-Kyung Lee; Won-Ki Min
Journal:  J Clin Lab Anal       Date:  2017-11-17       Impact factor: 2.352

7.  Improved Tacrolimus Target Concentration Achievement Using Computerized Dosing in Renal Transplant Recipients--A Prospective, Randomized Study.

Authors:  Elisabet Størset; Anders Åsberg; Morten Skauby; Michael Neely; Stein Bergan; Sara Bremer; Karsten Midtvedt
Journal:  Transplantation       Date:  2015-10       Impact factor: 4.939

8.  Influence of cytochrome P450 3A5 (CYP3A5) genetic polymorphism on the pharmacokinetics of the prolonged-release, once-daily formulation of tacrolimus in stable renal transplant recipients.

Authors:  François Glowacki; Arnaud Lionet; Jean-Philippe Hammelin; Myriam Labalette; François Provôt; Marc Hazzan; Franck Broly; Christian Noël; Christelle Cauffiez
Journal:  Clin Pharmacokinet       Date:  2011-07       Impact factor: 6.447

9.  Population pharmacokinetic analysis of tacrolimus in the first year after pediatric liver transplantation.

Authors:  V Guy-Viterbo; A Scohy; R K Verbeeck; R Reding; P Wallemacq; Flora Tshinanu Musuamba
Journal:  Eur J Clin Pharmacol       Date:  2013-04-16       Impact factor: 2.953

Review 10.  Population Pharmacokinetics of Tacrolimus in Transplant Recipients: What Did We Learn About Sources of Interindividual Variabilities?

Authors:  Olivia Campagne; Donald E Mager; Kathleen M Tornatore
Journal:  J Clin Pharmacol       Date:  2018-10-29       Impact factor: 3.126

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