A new pharmacokinetic model of urinary methotrexate to assess adherence in rheumatoid arthritis.


Journal

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
ISSN: 1950-6007
Titre abrégé: Biomed Pharmacother
Pays: France
ID NLM: 8213295

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 26 07 2023
revised: 26 09 2023
accepted: 28 09 2023
medline: 15 11 2023
pubmed: 22 10 2023
entrez: 21 10 2023
Statut: ppublish

Résumé

Methotrexate (MTX) is the first-line therapy for rheumatoid arthritis (RA). While therapeutic adherence is essential to successful management, no objective MTX assay is currently available. Using population pharmacokinetic modelling (PopPK), our objective was to describe the urinary MTX (MTXu) kinetics in treated patients and to evaluate its abilities to assess the MTX-adherence. The association between urinary methotrexate level and methotrexate administration was assessed using a generalized linear model. Then, a population pharmacokinetic model was developed based on data from 59 patients using with Monolix 2021. R2. Simulations were run to establish a reference kinetic profile and evaluate the proportion of samples predicted as true positives. Compared to the control group, multivariate analysis showed that MTXu was independently associated with methotrexate administration (p < 0.0001) with a sensitivity and specificity greater than 99%. The final PopPK model selected was a two-compartment model with first-order absorption and elimination. Internal and external validation of the model met all predefined criteria. When using an analytical assay with a LOQ equal to 1 nM, the proportion of samples predicted as true positives is over 90%, as a function of MTX dose (7.5-25 mg/week) and post-administration sampling days (1-7 days). We developed a pharmacokinetic model able to describe expected patterns of urinary methotrexate. This allowed us to propose a new objective test of MTX adherence, which could help in routine practice to differentiate patients who are truly unresponsive to methotrexate from those who are unresponsive because of non-adherence.

Sections du résumé

BACKGROUND AND OBJECTIVES OBJECTIVE
Methotrexate (MTX) is the first-line therapy for rheumatoid arthritis (RA). While therapeutic adherence is essential to successful management, no objective MTX assay is currently available. Using population pharmacokinetic modelling (PopPK), our objective was to describe the urinary MTX (MTXu) kinetics in treated patients and to evaluate its abilities to assess the MTX-adherence.
METHODS METHODS
The association between urinary methotrexate level and methotrexate administration was assessed using a generalized linear model. Then, a population pharmacokinetic model was developed based on data from 59 patients using with Monolix 2021. R2. Simulations were run to establish a reference kinetic profile and evaluate the proportion of samples predicted as true positives.
RESULTS RESULTS
Compared to the control group, multivariate analysis showed that MTXu was independently associated with methotrexate administration (p < 0.0001) with a sensitivity and specificity greater than 99%. The final PopPK model selected was a two-compartment model with first-order absorption and elimination. Internal and external validation of the model met all predefined criteria. When using an analytical assay with a LOQ equal to 1 nM, the proportion of samples predicted as true positives is over 90%, as a function of MTX dose (7.5-25 mg/week) and post-administration sampling days (1-7 days).
CONCLUSION CONCLUSIONS
We developed a pharmacokinetic model able to describe expected patterns of urinary methotrexate. This allowed us to propose a new objective test of MTX adherence, which could help in routine practice to differentiate patients who are truly unresponsive to methotrexate from those who are unresponsive because of non-adherence.

Identifiants

pubmed: 37864897
pii: S0753-3322(23)01418-X
doi: 10.1016/j.biopha.2023.115620
pii:
doi:

Substances chimiques

Methotrexate YL5FZ2Y5U1
Antirheumatic Agents 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

115620

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Masson SAS.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest All authors have no conflicts to disclose.

Auteurs

Marion Geoffroy (M)

Rheumatology, CHU Maison Blanche, Reims, Reims, France.

Claire Gozalo (C)

Reims University Hospital, Department of Pharmacology and Toxicology, 51100 Reims, France; University of Reims Champagne-Ardenne (URCA), Department of Medical Pharmacology, EA3801, 51097 Reims, France.

Céline Konecki (C)

Reims University Hospital, Department of Pharmacology and Toxicology, 51100 Reims, France; University of Reims Champagne-Ardenne (URCA), Department of Medical Pharmacology, EA3801, 51097 Reims, France.

Loic Pauvele (L)

Rheumatology, CHU Maison Blanche, Reims, Reims, France.

Ambre Hittinger (A)

Rheumatology, CHU Maison Blanche, Reims, Reims, France.

Noemie Theate (N)

Rheumatology, CHU Maison Blanche, Reims, Reims, France.

Catherine Feliu (C)

Reims University Hospital, Department of Pharmacology and Toxicology, 51100 Reims, France; University of Reims Champagne-Ardenne (URCA), Department of Medical Pharmacology, EA3801, 51097 Reims, France.

Jean Hugues Salmon (JH)

Rheumatology, CHU Maison Blanche, Reims, Reims, France.

Zoubir Djerada (Z)

Reims University Hospital, Department of Pharmacology and Toxicology, 51100 Reims, France; University of Reims Champagne-Ardenne (URCA), Department of Medical Pharmacology, EA3801, 51097 Reims, France. Electronic address: zoubir.djerada@univ-reims.fr.

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Classifications MeSH