Population pharmacokinetic modeling study and discovery of covariates for the antidepressant sertraline, a serotonin selective reuptake inhibitor.

Comput Biol Med

College of Pharmacy, Sunchon National University, 255 Jungang-ro, 57922, Suncheon-si, Jeollanam-do, Republic of Korea; College of Pharmacy and Research Institute of Life and Pharmaceutical Sciences, Sunchon National University, 57922, Suncheon-Si, Republic of Korea. Electronic address:

Published: December 2024

AI Article Synopsis

  • * It found that the volume of distribution of sertraline was notably linked to estimated glomerular filtration rate (eGFR) and clearance correlated with total protein levels, while the CYP2D6*10 allele did not significantly affect these pharmacokinetic variations.
  • * Model simulations indicated that varying total protein and eGFR levels led to considerable differences in serum concentrations of sertraline, particularly highlighting total protein as a major factor influencing the drug's concentration at steady-state.

Article Abstract

The purpose of this study was to discover effective covariates related to explanation of inter-individual pharmacokinetic (PK) variations through population pharmacokinetic (Pop-PK) modeling for sertraline and to provide insight into establishing scientific regimen. The bioequivalence results of sertraline performed on 24 healthy Korean men and the physiological and biochemical parameters derived from each individual were used as data to develop a Pop-PK model of sertraline for Koreans. And the relevant effectiveness of ∗10 allele polymorphisms of CYP2D6 in sertraline PK polymorphisms was further confirmed through a modeling approach. The Pop-PK profiles of sertraline were explained by the basic structure of sequential 2-absorption with 1-compartment, and in terms of inter-individual PK diversity, the volume of distribution could be significantly correlated with estimated glomerular filtration rate (eGFR) and clearance with total protein levels. CYP2D6∗10 allele was not significant in interpreting sertraline PK diversity. As a result of model simulation, the concentration of sertraline in serum significantly increased as total protein and eGFR levels became higher and lower, respectively. The mean serum concentrations of sertraline at steady-state differed by up to 2.12 times from 10.36 to 22.02 ng/mL depending on changes in total protein and eGFR levels, and the fluctuations between the maximum and minimum concentration values ranged from 2.02 to 29.51 to 4.31-63.78 ng/mL. The factor that significantly influenced change in mean serum concentration of sertraline at steady-state was the total protein level, which was interpreted to be closely related to the change in clearance due to the high serum protein binding of sertraline.

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http://dx.doi.org/10.1016/j.compbiomed.2024.109319DOI Listing

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