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Therapeutic Drug Monitoring of Tacrolimus-Personalized Therapy: Second Consensus Report

Open access
Brunet, Mercè, van Gelder, Teun, Åsberg, Anders, Haufroid, Vincent, Hesselink, Dennis A., Langman, Loralie, Lemaitre, Florian, Marquet, Pierre, Seger, Christoph, Shipkova, Maria, Vinks, Alexander, Wallemacq, Pierre, Wieland, Eberhard, Woillard, Jean Baptiste, Barten, Markus J., Budde, Klemens, Colom, Helena, Dieterlen, Maja-Theresa, Elens, Laure, Johnson-Davis, Kamisha L., Kunicki, Paweł K., MacPhee, Iain, Masuda, Satohiro, Mathew, Binu S., Millán, Olga, Mizuno, Tomoyuki, Moes, Dirk-Jan A. R., Monchaud, Caroline, Noceti, Ofelia, Pawinski, Tomasz, Picard, Nicolas, van Schaik, Ron, Sommerer, Claudia, Vethe, Nils Tore, de Winter, Brenda, Christians, Uwe, Bergan, Stein·2019·Therapeutic Drug Monitoring

Abstract

Ten years ago, a consensus report on the optimization of tacrolimus was published in this journal. In 2017, the Immunosuppressive Drugs Scientific Committee of the International Association of Therapeutic Drug Monitoring and Clinical Toxicity (IATDMCT) decided to issue an updated consensus report considering the most relevant advances in tacrolimus pharmacokinetics (PK), pharmacogenetics (PG), pharmacodynamics, and immunologic biomarkers, with the aim to provide analytical and drug-exposure recommendations to assist TDM professionals and clinicians to individualize tacrolimus TDM and treatment. The consensus is based on in-depth literature searches regarding each topic that is addressed in this document. Thirty-seven international experts in the field of TDM of tacrolimus as well as its PG and biomarkers contributed to the drafting of sections most relevant for their expertise. Whenever applicable, the quality of evidence and the strength of recommendations were graded according to a published grading guide. After iterated editing, the final version of the complete document was approved by all authors. For each category of solid organ and stem cell transplantation, the current state of PK monitoring is discussed and the specific targets of tacrolimus trough concentrations (predose sample C 0) are presented for subgroups of patients along with the grading of these recommendations. In addition, tacrolimus area under the concentration–time curve determination is proposed as the best TDM option early after transplantation, at the time of immunosuppression minimization, for special populations, and specific clinical situations. For indications other than transplantation, the potentially effective tacrolimus concentrations in systemic treatment are discussed without formal grading. The importance of consistency, calibration, proficiency testing, and the requirement for standardization and need for traceability and reference materials is highlighted. The status for alternative approaches for tacrolimus TDM is presented including dried blood spots, volumetric absorptive microsampling, and the development of intracellular measurements of tacrolimus. The association between CYP3A5 genotype and tacrolimus dose requirement is consistent (Grading A I). So far, pharmacodynamic and immunologic biomarkers have not entered routine monitoring, but determination of residual nuclear factor of activated T cells–regulated gene expression supports the identification of renal transplant recipients at risk of rejection, infections, and malignancy (B II). In addition, monitoring intracellular T-cell IFN-g production can help to identify kidney and liver transplant recipients at high risk of acute rejection (B II) and select good candidates for immunosuppression minimization (B II). Although cell-free DNA seems a promising biomarker of acute donor injury and to assess the minimally effective C 0 of tacrolimus, multicenter prospective interventional studies are required to better evaluate its clinical utility in solid organ transplantation. Population PK models including CYP3A5 and CYP3A4 genotypes will be considered to guide initial tacrolimus dosing. Future studies should investigate the clinical benefit of time-to-event models to better evaluate biomarkers as predictive of personal response, the risk of rejection, and graft outcome. The Expert Committee concludes that considerable advances in the different fields of tacrolimus monitoring have been achieved during this last decade. Continued efforts should focus on the opportunities to implement in clinical routine the combination of new standardized PK approaches with PG, and valid biomarkers to further personalize tacrolimus therapy and to improve long-term outcomes for treated patients.

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Metadata

Authors
Brunet, M., van Gelder, T., Åsberg, A., Haufroid, V., Hesselink, D. A., Langman, L., Lemaitre, F., Marquet, P., Seger, C., Shipkova, M., Vinks, A., Wallemacq, P., Wieland, E., Woillard, J. B., Barten, M. J., Budde, K., Colom, H., Dieterlen, M.-T., Elens, L., Johnson-Davis, K. L., Kunicki, P. K., MacPhee, I., Masuda, S., Mathew, B. S., Millán, O., Mizuno, T., Moes, D.-J. A. R., Monchaud, C., Noceti, O., Pawinski, T., Picard, N., van Schaik, R., Sommerer, C., Vethe, N. T., de Winter, B., Christians, U., & Bergan, S.
Venue
Therapeutic Drug Monitoring
Published
2019-06
Volume
41
Issue
3
Pages
261-307
ISSN
0163-4356 (ISSN-L)
OpenAlex
W2942673049
Cited by
707
References
271
FWCI
59.13
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Therapeutic Drug Monitoring of Tacrolimus-Personalized Therapy: Second Consensus Report. https://app.cochat.ai/papers/10.1097/ftd.0000000000000640
The paper
Brunet, M., van Gelder, T., Åsberg, A., Haufroid, V., Hesselink, D. A., Langman, L., Lemaitre, F., Marquet, P., Seger, C., Shipkova, M., Vinks, A., Wallemacq, P., Wieland, E., Woillard, J. B., Barten, M. J., Budde, K., Colom, H., Dieterlen, M.-T., Elens, L., . . . Bergan, S. (2019). Therapeutic Drug Monitoring of Tacrolimus-Personalized Therapy: Second Consensus Report. Therapeutic Drug Monitoring. https://doi.org/10.1097/ftd.0000000000000640

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.