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Physiologically Based Pharmacokinetic Modeling of Vitamin D3 and Metabolites in Vitamin D Insufficient Patients

Colton W. Sawyer, Stacey M. Tuey, Raymond E West III, Thomas D. Nolin and Melanie S. Joy
Drug Metabolism and Disposition July 2, 2022, DMD-AR-2021-000609; DOI: https://doi.org/10.1124/dmd.121.000609
Colton W. Sawyer
1Mathematics, Southern New Hampshire University, United States
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  • For correspondence: c.sawyer1@snhu.edu
Stacey M. Tuey
2University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, United States
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Raymond E West III
3Pharmacy & Therapeutics, University of Pittsburgh School of Pharmacy, United States
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Thomas D. Nolin
3Pharmacy & Therapeutics, University of Pittsburgh School of Pharmacy, United States
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Melanie S. Joy
2University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, United States
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Abstract

A physiologically based pharmacokinetic (PBPK) model of vitamin D3 and metabolites [25(OH)D3, 1,25(OH)2D3, and 24,25(OH)2D3] is presented. In this study, patients with 25(OH)D3 plasma concentrations below 30 ng/ml were studied after a single dose of 5,000 I.U. (125 µg) cholecalciferol, provided with 5,000 I.U. daily cholecalciferol supplementation until vitamin D replete (25(OH)D3 plasma concentrations above 30 ng/ml), and had serial plasma samples were collected at each phase for 14 days. Total concentrations of vitamin D3 and metabolites were measured by ultra-high performance liquid chromatography tandem mass spectrometry. A nine-compartment PBPK model was built using MATLAB to represent the triphasic study nature (insufficient, replenishing, sufficient). Stimulatory and inhibitory effect of 1,25(OH)2D3 were incorporated by fold-changes in the primary metabolic enzymes CYP27B1 and CYP24A1, respectively. Incorporation of dynamic adipose partition coefficients for vitamin D3 and 25(OH)D3 and variable enzymatic reactions aided in model fitting. Measures of model predictions agreed well with data from metabolites, with 97%, 88%, and 98% of the data for 25(OH)D3, 24,25(OH)2D3, and 1,25(OH)2D3, respectively, within 2-fold of unity (fold error values between 0.5 and 2.0). Bootstrapping was performed and optimized parameters were reported with 95% confidence intervals. This PBPK model could be a useful tool for understanding the connections between vitamin D and its metabolites under a variety of clinical situations.

Significance Statement This study developed a physiologically based pharmacokinetic (PBPK) model of vitamin D3 and three metabolites for patients moving from a depleted to a repleted phase over a period of 16 weeks.

  • Cytochrome P450 (CYP)
  • Mathematical modeling
  • physiologically-based pharmacokinetics
  • vitamin D3
  • Copyright © 2020 American Society for Pharmacology and Experimental Therapeutics
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Drug Metabolism and Disposition: 50 (8)
Drug Metabolism and Disposition
Vol. 50, Issue 8
1 Aug 2022
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OtherArticle

PBPK Model of Vit D3 and Metabolites

Colton W. Sawyer, Stacey M. Tuey, Raymond E West, Thomas D. Nolin and Melanie S. Joy
Drug Metabolism and Disposition July 2, 2022, DMD-AR-2021-000609; DOI: https://doi.org/10.1124/dmd.121.000609

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OtherArticle

PBPK Model of Vit D3 and Metabolites

Colton W. Sawyer, Stacey M. Tuey, Raymond E West, Thomas D. Nolin and Melanie S. Joy
Drug Metabolism and Disposition July 2, 2022, DMD-AR-2021-000609; DOI: https://doi.org/10.1124/dmd.121.000609
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