# Enhanced CYP2C19-mediated drug-drug interaction risk with escitalopram in geriatric populations

**Authors:** Seonyoung Byoun, Dong-Gyu Heo, Minsoo Lee, Ryunghwa Lee, Yuanyuan Li, Ju-Yeun Lee, Eunjin Hong, Wooin Lee

PMC · DOI: 10.3389/fphar.2025.1711196 · Frontiers in Pharmacology · 2026-01-05

## TL;DR

This study finds that older adults taking escitalopram face higher drug interaction risks due to CYP2C19 enzyme activity differences compared to younger adults.

## Contribution

The study introduces age-specific CYP2C19 phenotype-guided dosing strategies for escitalopram to reduce drug interaction risks in older adults.

## Key findings

- PBPK modeling shows older adults experience greater CYP2C19-mediated drug interactions with escitalopram than younger adults.
- DDI risk varies significantly based on CYP2C19 phenotypes (extensive, intermediate, poor metabolizers) in older adults.
- Proposed dosing adjustments aim to reduce inappropriate medication use and adverse events in geriatric patients.

## Abstract

Escitalopram (S-CIT) is commonly prescribed for depression and anxiety in older patients. Previous research has reported that the effect of CYP2C19 polymorphism on S-CIT pharmacokinetics is more pronounced in older adults than in young adults. The current study investigated whether older adults taking S-CIT face a greater risk for CYP2C19-mediated drug-drug interaction (DDI) than young adults.

Using a physiologically-based pharmacokinetic (PBPK) model, we quantitatively compared the risk of CYP2C19-mediated DDIs in older adults taking S-CIT with any of four CYP2C19 inhibitors (omeprazole, esomeprazole, fluconazole, and fluoxetine). These CYP2C19 inhibitors were selected based on their prevalence of co-administration with S-CIT, as determined by a retrospective analysis of the 2019 Korean National Health Insurance Service senior cohort database.

Our PBPK modeling-based simulations predicted that the extent of DDI incurred by S-CIT would be greater in older adults than in young adults and vary significantly by CYP2C19 phenotypes (extensive, intermediate, and poor metabolizers). Based on the prediction results, we propose CYP2C19 phenotype-guided S-CIT dosing strategies for older adults. Implementing the proposed dosing recommendation may reduce the incidence of potentially inappropriate use of medication and adverse events in older adults prescribed S-CIT.

Diagram examining the DDI risk of escitalopram in older adults based on CYP2C19 metabolic activity, featuring age-related changes, CYP2C19 activity, and co-medication. Includes PBPK modeling using Simcvp, a graph of S-CIT concentration over time with omeprazole dosages, and a table for proposed S-CIT dose adjustments with CYP2C19 inhibitors like omeprazole, esomeprazole, fluconazole, and fluoxetine for different genotypes (G-EM, G-IM, G-PM).

## Linked entities

- **Proteins:** CYP2C19 (cytochrome P450 family 2 subfamily C member 19)
- **Chemicals:** escitalopram (PubChem CID 146570), omeprazole (PubChem CID 4594), esomeprazole (PubChem CID 9568614), fluconazole (PubChem CID 3365), fluoxetine (PubChem CID 3386)
- **Diseases:** depression (MONDO:0002050), anxiety (MONDO:0005618)

## Full-text entities

- **Genes:** CYP2C19 (cytochrome P450 family 2 subfamily C member 19) [NCBI Gene 1557] {aka CPCJ, CYP2C, CYPIIC17, CYPIIC19, P450C2C, P450IIC19}
- **Diseases:** anxiety (MESH:D001007), depression (MESH:D003866)
- **Chemicals:** esomeprazole (MESH:D064098), Escitalopram (MESH:D000089983), omeprazole (MESH:D009853), fluconazole (MESH:D015725), fluoxetine (MESH:D005473)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12812941/full.md

## References

38 references — full list in the complete paper: https://tomesphere.com/paper/PMC12812941/full.md

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Source: https://tomesphere.com/paper/PMC12812941