- Design
- Retrospective analysis of therapeutic drug monitoring and pharmacogenetic data with mass-spectra reprocessing
- Population
- 2,818 CYP2C19-genotyped escitalopram users in Oslo, Norway, 445 with PPI co-medication
- Primary outcome
- N-desmethylescitalopram to escitalopram metabolic ratio, ultrarapid vs poor metabolisers
- Effect
- 4.5-fold without PPI; 2.8-fold with pantoprazole; 1.8-fold with omeprazole or esomeprazole
Researchers reprocessed high-resolution mass spectra from routine escitalopram monitoring to detect PPIs in the same samples, then compared metabolic ratios across CYP2C19 genotypes.
In people not taking a PPI, genotype separated metabolism clearly. PPIs, which inhibit CYP2C19, compressed that difference. Omeprazole and esomeprazole had a stronger effect than pantoprazole, consistent with their known inhibitory potency.
This is phenoconversion: the patient's functional phenotype no longer matches the genotype on the report. For prescribers, a genotype result is only half the answer; the medicine list is the other half.
- Without PPIs, ultrarapid metabolisers had a 4.5-fold higher metabolic ratio than poor metabolisers.
- With pantoprazole the gap fell to 2.8-fold; with omeprazole or esomeprazole to 1.8-fold.
- About one in six escitalopram users was also taking a PPI.
- Pantoprazole had a weaker effect, so it is the less disruptive choice when a PPI is needed.
- Consider therapeutic drug monitoring when response or tolerability does not match genotype.
Why it matters
Genotype-guided prescribing assumes the genotype predicts exposure, and a common co-medication quietly breaks that link.
Don't overread it
This measured a metabolic ratio, not clinical response or adverse effects.
The statistics, in plain English
The fold-differences describe how much faster ultrarapid metabolisers convert escitalopram than poor metabolisers. The omeprazole comparison was not statistically significant (P = 0.2), likely because few poor metabolisers were in that group.
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