Key result
CYP2C19 poor metabolizer status is linked to higher sertraline plasma concentrations.
Why the study?
Interindividual variability in sertraline pharmacokinetics remains substantial, and the relative contributions of pharmacogenetic, demographic, clinical, and prescribing determinants have not been comprehensively evaluated in routine clinical practice.
What are the pharmacogenetic, demographic, clinical, and prescribing determinants of sertraline pharmacokinetics in patients receiving sertraline therapy?
Observational (n=153)
What are the pharmacogenetic, demographic, clinical, and prescribing determinants of sertraline pharmacokinetics in patients receiving sertraline therapy?
Mean Difference: 72.1 (95% CI 21.36–122.84)
p-value: p=0.01
CYP2C19 poor metabolizer status is associated with significantly higher sertraline plasma concentrations in real-world clinical settings.
May inform pharmacogenetic considerations for sertraline; extends observational data but requires prospective confirmation.
Background: Interindividual variability in sertraline pharmacokinetics remains substantial, but the relative contributions of pharmacogenetic (PGx), demographic, clinical, and prescribing determinants have not been comprehensively evaluated in routine clinical practice. The study aimed to evaluate PGx, demographic, clinical, and prescribing determinants of sertraline plasma concentrations, sertraline plasma concentration-to-dose ratio (C/D), and non-dose-normalized sertraline-to-norsertraline metabolic ratio (MR), with log10-transformed dose-normalized sertraline/norsertraline metabolic ratio (LogMRDN) and log10-transformed MR (LogMR) evaluated as exploratory derived pharmacokinetic outcomes in real-world clinical settings. Methods: This prospective real-world PGx study included 153 patients receiving sertraline therapy who participated in the MedeA clinical PGx implementation program. Associations of genotype-predicted phenotypes for CYP2C19, CYP2B6, CYP2D6, CYP2C9, and CYP3A4, CYP2C:TG haplotype status, demographic, clinical, and prescribing characteristics with sertraline concentration, C/D, MR, and LogMRDN were evaluated using univariable analyses. Separate multivariable linear regression models were fitted for these outcomes and LogMR using 140 complete cases. Results: CYP2C19 gPM status was associated with higher sertraline concentrations (β = 72.10, 95% CI: 21.36–122.84; p = 0.01). Although a higher sertraline C/D ratio was observed in the conventional multivariable model with CYP2C19 gPM (β = 1.46, 95% CI: 0.85–2.08; p < 0.001), this association was not retained after HC3 heteroscedasticity-robust standard errors were applied (β = 1.46, 95% CI: −0.09–3.02; p = 0.07). In a small exploratory subgroup analysis, patients with combined CYP2C19 and CYP2B6 poor-metabolizer status (n = 2) had sertraline concentrations exceeding 150 ng/mL. Conclusions: The study findings provide further insights into the relevance of CYP2C19 in sertraline pharmacokinetics.
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Cruz et al. (2026) conducted an observational in Patients receiving sertraline therapy (n=153). CYP2C19 poor metabolizer (gPM) status vs. Non-poor metabolizer status was evaluated on Sertraline plasma concentrations (β 72.10, 95% CI 21.36-122.84, p=0.01). CYP2C19 poor metabolizer status was significantly associated with higher sertraline plasma concentrations (β = 72.10; 95% CI 21.36-122.84; p=0.01).
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