Reprocessing Mass Spectra from Therapeutic Drug Monitoring to Unveil Proton Pump Inhibitor Use and Quantify Phenoconversion of Escitalopram Metabolism in CYP2C19-Genotyped Patients.
- 1Center for Psychopharmacology, Diakonhjemmet Hospital, Oslo, Norway.
- 2Department of Clinical Pharmacology and Pharmacoepidemiology, University Hospital Heidelberg, Heidelberg, Germany.
- 3Section for Pharmacology and Pharmaceutical Biosciences, Department of Pharmacy, University of Oslo, Oslo, Norway.
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.
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BibTeX
@article{hole2026reprocessing,
title = {{Reprocessing Mass Spectra from Therapeutic Drug Monitoring to Unveil Proton Pump Inhibitor Use and Quantify Phenoconversion of Escitalopram Metabolism in CYP2C19-Genotyped Patients.}},
author = {Kristine Hole and Birgit M Wollmann and Julia Carolin Stingl and Espen Molden},
journal = {Clinical pharmacology and therapeutics},
year = {2026},
month = oct,
doi = {10.1002/cpt.70506},
url = {https://europepmc.org/article/MED/42876187},
note = {CC BY-NC-ND},
}
RIS
TY - JOUR
TI - Reprocessing Mass Spectra from Therapeutic Drug Monitoring to Unveil Proton Pump Inhibitor Use and Quantify Phenoconversion of Escitalopram Metabolism in CYP2C19-Genotyped Patients.
AU - Kristine Hole
AU - Birgit M Wollmann
AU - Julia Carolin Stingl
AU - Espen Molden
PY - 2026
DA - 2026/10/14
JO - Clinical pharmacology and therapeutics
DO - 10.1002/cpt.70506
UR - https://europepmc.org/article/MED/42876187
AB - 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.
SN - 0009-9236
SN - 1532-6535
ER -