Reprocessing Mass Spectra from Therapeutic Drug Monitoring to Unveil Proton Pump Inhibitor Use and Quantify Phenoconversion of Escitalopram Metabolism in CYP2C19 ‐Genotyped Patients

Escitalopram is a frequently prescribed antidepressant drug. CYP2C19 genotype is a major determinant of escitalopram metabolism and treatment outcome. However, real-life studies show a high degree of genotype-phenotype mismatch in escitalopram metabolism. The present study aimed to identify comedication with proton pump inhibitors (PPIs) and quantify phenoconversion of escitalopram metabolism in CYP2C19-genotyped patients by reprocessing high-resolution mass spectra from therapeutic drug monitoring (TDM) analyses. Patients were included from a combined TDM/pharmacogenetics (PGx) laboratory facility in Oslo, Norway. TDM profiles of escitalopram and CYP2C19 genotypes were available in the laboratory database. Reprocessing of high-resolution mass spectra by exact mass and fragment detection identified possible comedication with pantoprazole, esomeprazole/omeprazole or lansoprazole using mzCloud reference library. Patients were grouped as normal metabolizers (NMs), intermediate metabolizers (IMs), poor metabolizers (PMs), rapid metabolizers (RM), or ultrarapid metabolizers (UM). Primary outcome measure was N-desmethylescitalopram-to-escitalopram metabolic ratio (MR; CYP2C19 biomarker) in UMs vs. PMs. 2818 patients were included, constituting 2373 without and 445 (15.8%) with PPIs. Most patients were females (64.2%). Regarding CYP2C19 phenotype distribution, the cohort comprised 39.3% NMs, 29.3% IMs, 2.6% PMs, 24.6% RMs, and 4.2% UMs. Escitalopram MR was 4.5-fold higher in CYP2C19 UMs vs. PMs without PPIs (P < 0.001), while this difference was 2.8-fold in pantoprazole users (P < 0.001), and 1.8-fold in esomeprazole/omeprazole users (P = 0.2). In conclusion, PPIs show significant phenoconversion of CYP2C19-mediated escitalopram metabolism with esomeprazole/omeprazole exhibiting a stronger effect than pantoprazole. The novel method for identification of interacting comedications in TDM samples illustrates the innovative potential of high-resolution mass spectrometry in precision medicine.

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Journal
Clinical Pharmacology & Therapeutics
Published
2026-10-14
DOI
https://doi.org/10.1002/cpt.70506
Primary Topic
Pharmacogenetics and Drug Metabolism
Type
article
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article

Reprocessing Mass Spectra from Therapeutic Drug Monitoring to Unveil Proton Pump Inhibitor Use and Quantify Phenoconversion of Escitalopram Metabolism in CYP2C19 ‐Genotyped Patients

Birgit Malene Wollmann, Julia V. Stingl, Espen Molden, Kristine Hole
Clinical Pharmacology & Therapeutics
Pharmacogenetics and Drug Metabolism
article

Reprocessing Mass Spectra from Therapeutic Drug Monitoring to Unveil Proton Pump Inhibitor Use and Quantify Phenoconversion of Escitalopram Metabolism in CYP2C19 ‐Genotyped Patients

Birgit Malene Wollmann, Julia V. Stingl, Espen Molden, Kristine Hole
article en

Abstract

Escitalopram is a frequently prescribed antidepressant drug. CYP2C19 genotype is a major determinant of escitalopram metabolism and treatment outcome. However, real-life studies show a high degree of genotype-phenotype mismatch in escitalopram metabolism. The present study aimed to identify comedication with proton pump inhibitors (PPIs) and quantify phenoconversion of escitalopram metabolism in CYP2C19-genotyped patients by reprocessing high-resolution mass spectra from therapeutic drug monitoring (TDM) analyses. Patients were included from a combined TDM/pharmacogenetics (PGx) laboratory facility in Oslo, Norway. TDM profiles of escitalopram and CYP2C19 genotypes were available in the laboratory database. Reprocessing of high-resolution mass spectra by exact mass and fragment detection identified possible comedication with pantoprazole, esomeprazole/omeprazole or lansoprazole using mzCloud reference library. Patients were grouped as normal metabolizers (NMs), intermediate metabolizers (IMs), poor metabolizers (PMs), rapid metabolizers (RM), or ultrarapid metabolizers (UM). Primary outcome measure was N-desmethylescitalopram-to-escitalopram metabolic ratio (MR; CYP2C19 biomarker) in UMs vs. PMs. 2818 patients were included, constituting 2373 without and 445 (15.8%) with PPIs. Most patients were females (64.2%). Regarding CYP2C19 phenotype distribution, the cohort comprised 39.3% NMs, 29.3% IMs, 2.6% PMs, 24.6% RMs, and 4.2% UMs. Escitalopram MR was 4.5-fold higher in CYP2C19 UMs vs. PMs without PPIs (P < 0.001), while this difference was 2.8-fold in pantoprazole users (P < 0.001), and 1.8-fold in esomeprazole/omeprazole users (P = 0.2). In conclusion, PPIs show significant phenoconversion of CYP2C19-mediated escitalopram metabolism with esomeprazole/omeprazole exhibiting a stronger effect than pantoprazole. The novel method for identification of interacting comedications in TDM samples illustrates the innovative potential of high-resolution mass spectrometry in precision medicine.

Clinical Pharmacology & Therapeutics
University of Oslo (NO), Heidelberg University (DE), University Hospital Heidelberg (DE), Diakonhjemmet Hospital (NO)
Openalex Percentile: Top 10%
Pharmacogenetics and Drug Metabolism
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