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Utility of salivary mycophenolic acid concentration monitoring: Modeling and Monte Carlo validation approach

The results of the previous studies demonstrated an association between mycophenolic acid (MPA) exposure, serum albumin level (ALB), and adverse effects in kidney transplant patients. The aim was the identification of mathematical correlation and association between both, total and unbound MPA conce...

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Autores principales: Catić‐Đorđević, Aleksandra, Stefanović, Nikola, Pavlović, Ivan, Pavlović, Dragana, Živanović, Slavoljub, Kundalić, Ana, Veličković‐Radovanović, Radmila, Mitić, Branka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9703583/
https://www.ncbi.nlm.nih.gov/pubmed/36440680
http://dx.doi.org/10.1002/prp2.1034
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author Catić‐Đorđević, Aleksandra
Stefanović, Nikola
Pavlović, Ivan
Pavlović, Dragana
Živanović, Slavoljub
Kundalić, Ana
Veličković‐Radovanović, Radmila
Mitić, Branka
author_facet Catić‐Đorđević, Aleksandra
Stefanović, Nikola
Pavlović, Ivan
Pavlović, Dragana
Živanović, Slavoljub
Kundalić, Ana
Veličković‐Radovanović, Radmila
Mitić, Branka
author_sort Catić‐Đorđević, Aleksandra
collection PubMed
description The results of the previous studies demonstrated an association between mycophenolic acid (MPA) exposure, serum albumin level (ALB), and adverse effects in kidney transplant patients. The aim was the identification of mathematical correlation and association between both, total and unbound MPA concentration in relation to ALB, body mass (BM), age and estimated glomerular filtration rate (eGFR) in stable kidney transplant recipients. Furthermore, investigation was conducted with the aim to clarify the role of salivary concentration (C(SAL)) of MPA in adverse effect profile. In order to analyze the association between total and salivary concentration of MPA in relation to ALB, BM, age and eGFR, a least squares method for determining the correlation between these parameters was performed. In addition, derived mathematical model based on experimental data can also be performed and simulated through the Monte Carlo (MC) approach. Adverse effects were grouped according to the nature of symptoms and scored by a previously published validated system. Numerically calculated values of C(SAL) from the models [C(SAL) = f(ALB, BM, age, eGFR, C(P)) = a (00) + a (10)*(ALB, BM, age, eGFR) + a (01)*C(P)] were then compared with those from validation set of patients, where the best fitting model was for ALB [C(SAL) = 54.96–1.64*ALB +13.4*C(P)]. Adverse effects estimation showed the difference in esthetic score, positively correlated with C(SAL) in the lower ALB group (145.41 ± 219.02 vs. 354.08 ± 262.19; with statistical significance p = .014) and almost significant for gastrointestinal score (167.69 ± 174.79 vs. 347.55 ± 320.95; p = .247). The study showed that C(SAL) MPA may contribute to management of adverse effects, but these findings require confirmation of clinical utility.
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spelling pubmed-97035832022-11-28 Utility of salivary mycophenolic acid concentration monitoring: Modeling and Monte Carlo validation approach Catić‐Đorđević, Aleksandra Stefanović, Nikola Pavlović, Ivan Pavlović, Dragana Živanović, Slavoljub Kundalić, Ana Veličković‐Radovanović, Radmila Mitić, Branka Pharmacol Res Perspect Original Articles The results of the previous studies demonstrated an association between mycophenolic acid (MPA) exposure, serum albumin level (ALB), and adverse effects in kidney transplant patients. The aim was the identification of mathematical correlation and association between both, total and unbound MPA concentration in relation to ALB, body mass (BM), age and estimated glomerular filtration rate (eGFR) in stable kidney transplant recipients. Furthermore, investigation was conducted with the aim to clarify the role of salivary concentration (C(SAL)) of MPA in adverse effect profile. In order to analyze the association between total and salivary concentration of MPA in relation to ALB, BM, age and eGFR, a least squares method for determining the correlation between these parameters was performed. In addition, derived mathematical model based on experimental data can also be performed and simulated through the Monte Carlo (MC) approach. Adverse effects were grouped according to the nature of symptoms and scored by a previously published validated system. Numerically calculated values of C(SAL) from the models [C(SAL) = f(ALB, BM, age, eGFR, C(P)) = a (00) + a (10)*(ALB, BM, age, eGFR) + a (01)*C(P)] were then compared with those from validation set of patients, where the best fitting model was for ALB [C(SAL) = 54.96–1.64*ALB +13.4*C(P)]. Adverse effects estimation showed the difference in esthetic score, positively correlated with C(SAL) in the lower ALB group (145.41 ± 219.02 vs. 354.08 ± 262.19; with statistical significance p = .014) and almost significant for gastrointestinal score (167.69 ± 174.79 vs. 347.55 ± 320.95; p = .247). The study showed that C(SAL) MPA may contribute to management of adverse effects, but these findings require confirmation of clinical utility. John Wiley and Sons Inc. 2022-11-28 /pmc/articles/PMC9703583/ /pubmed/36440680 http://dx.doi.org/10.1002/prp2.1034 Text en © 2022 The Authors. Pharmacology Research & Perspectives published by British Pharmacological Society and American Society for Pharmacology and Experimental Therapeutics and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
Catić‐Đorđević, Aleksandra
Stefanović, Nikola
Pavlović, Ivan
Pavlović, Dragana
Živanović, Slavoljub
Kundalić, Ana
Veličković‐Radovanović, Radmila
Mitić, Branka
Utility of salivary mycophenolic acid concentration monitoring: Modeling and Monte Carlo validation approach
title Utility of salivary mycophenolic acid concentration monitoring: Modeling and Monte Carlo validation approach
title_full Utility of salivary mycophenolic acid concentration monitoring: Modeling and Monte Carlo validation approach
title_fullStr Utility of salivary mycophenolic acid concentration monitoring: Modeling and Monte Carlo validation approach
title_full_unstemmed Utility of salivary mycophenolic acid concentration monitoring: Modeling and Monte Carlo validation approach
title_short Utility of salivary mycophenolic acid concentration monitoring: Modeling and Monte Carlo validation approach
title_sort utility of salivary mycophenolic acid concentration monitoring: modeling and monte carlo validation approach
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9703583/
https://www.ncbi.nlm.nih.gov/pubmed/36440680
http://dx.doi.org/10.1002/prp2.1034
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