# Genetic variability and response to sertraline in pediatric populations: a review on pharmacogenetics, pharmacokinetics, and the risk of adverse events

**Authors:** Jesús Alonso Gándara-Mireles, Verónica Loera Castañeda, Ismael Lares-Asseff, Julio Cesar Grijalva Ávila, Maria Magdalena Rosales Ramos, Ignacio Villanueva Fierro, Leslie Patrón Romero, Horacio Almanza Reyes

PMC · DOI: 10.3389/frcha.2026.1731268 · Frontiers in Child and Adolescent Psychiatry · 2026-02-17

## TL;DR

This review explores how genetic differences affect how children and teens respond to the antidepressant sertraline, aiming to improve treatment safety and effectiveness through personalized medicine.

## Contribution

The paper highlights pharmacogenetic and pharmacokinetic factors influencing sertraline response in pediatric patients, advocating for precision medicine approaches.

## Key findings

- Genetic variants in CYP2C19, CYP2D6, and ABCB1 significantly affect sertraline metabolism and tolerability in children.
- Pharmacogenetic testing can help individualize dosing and reduce adverse effects in pediatric patients.
- Population pharmacokinetic modeling supports personalized treatment strategies for those with comorbidities or atypical metabolism.

## Abstract

Anxiety disorders in the pediatric population represent a highly prevalent mental health concern whose pharmacological management has been consolidated through the use of selective serotonin reuptake inhibitors (SSRIs). Among these agents, sertraline is one of the most frequently prescribed; however, its efficacy and safety in children and adolescents exhibit substantial interindividual variability, largely attributed to clinical, physiological, and genetic factors. This review aimed to analyze the current evidence on the efficacy, safety, and optimization strategies for sertraline therapy in pediatric patients, with a particular focus on pharmacokinetic and pharmacogenetic determinants that modulate therapeutic response. Available evidence indicates that genetic variants in CYP2C19, CYP2D6, and ABCB1 significantly influence hepatic metabolism, plasma exposure, and drug tolerability. These differences support the integration of pharmacogenetic testing as a clinical tool to individualize dosing and prevent adverse effects. In addition, population pharmacokinetic modeling has emerged as a valuable approach to design personalized therapeutic regimens, especially for patients with medical comorbidities or atypical metabolic profiles. In conclusion, the integration of clinical, genetic, and pharmacokinetic information into pediatric psychiatric practice may facilitate the advancement of precision medicine, promoting safer, more effective, and individualized sertraline-based treatments for anxiety disorders in children and adolescents.

## Linked entities

- **Genes:** CYP2C19 (cytochrome P450 family 2 subfamily C member 19) [NCBI Gene 1557], CYP2D6 (cytochrome P450 family 2 subfamily D member 6 (gene/pseudogene)) [NCBI Gene 1565], ABCB1 (ATP binding cassette subfamily B member 1) [NCBI Gene 5243]
- **Chemicals:** sertraline (PubChem CID 68617)

## Full-text entities

- **Genes:** SLC6A4 (solute carrier family 6 member 4) [NCBI Gene 6532] {aka 5-HTT, 5-HTTLPR, 5HTT, HTT, OCD1, SERT}, CYP2C19 (cytochrome P450 family 2 subfamily C member 19) [NCBI Gene 1557] {aka CPCJ, CYP2C, CYPIIC17, CYPIIC19, P450C2C, P450IIC19}, CYP4F3 (cytochrome P450 family 4 subfamily F member 3) [NCBI Gene 4051] {aka CPF3, CYP4F, CYPIVF3, LTB4H}, CYP2D6 (cytochrome P450 family 2 subfamily D member 6 (gene/pseudogene)) [NCBI Gene 1565] {aka CPD6, CYP2D, CYP2D7AP, CYP2D7BP, CYP2D7P2, CYP2D8P2}, PPIG (peptidylprolyl isomerase G) [NCBI Gene 9360] {aka CARS-Cyp, CYP, SCAF10, SRCyp}, ABCB1 (ATP binding cassette subfamily B member 1) [NCBI Gene 5243] {aka ABC20, CD243, CLCS, ENPAT, GP170, MDR1}, CYP2C9 (cytochrome P450 family 2 subfamily C member 9) [NCBI Gene 1559] {aka CPC9, CYP2C, CYP2C10, CYPIIC9, P450-2C9, P450IIC9}, CYP3A4 (cytochrome P450 family 3 subfamily A member 4) [NCBI Gene 1576] {aka CP33, CP34, CYP3A, CYP3A3, CYPIIIA3, CYPIIIA4}
- **Diseases:** MDD (MESH:D003865), hyperactivity (MESH:D006948), PTSD (MESH:D013313), hyperthermia (MESH:D005334), Anxiety disorders (MESH:D001008), vomiting (MESH:D014839), difficulty concentrating (MESH:C567712), anxious or affective symptoms (MESH:D019964), suicidal ideation (MESH:D001072), nausea (MESH:D009325), autoimmune diseases (MESH:D001327), fatigue (MESH:D005221), separation anxiety disorder (MESH:D001010), diarrhea (MESH:D003967), insomnia (MESH:D007319), abuse (MESH:D019966), Psychiatric (MESH:D001523), sexual dysfunction (MESH:D012735), abdominal pain (MESH:D015746), ODD (MESH:D019958), Anxiety (MESH:D001007), Gastrointestinal symptoms (MESH:D012817), headache (MESH:D006261), loss of motivation (MESH:D016388), serotonin syndrome (MESH:D020230), PMDD (MESH:D065446), anhedonia (MESH:D059445), ASD (MESH:D000067877), Sleep disturbances (MESH:D012893), dyspepsia (MESH:D004415), oncologic (MESH:D000072716), rigidity (MESH:D009127), overdose (MESH:D062787), cognitive rigidity (MESH:D003072), social anxiety disorder (MESH:D000072861), OCD (MESH:D009771), Depression (MESH:D003866), hypersensitivity (MESH:D004342), loss of appetite (MESH:D001068), type 1 diabetes mellitus (MESH:D003922), agitation (MESH:D011595), ADHD (MESH:D001289), AEs (MESH:D064420), compulsive behaviors (MESH:D003193), dizziness (MESH:D004244), somnolence (MESH:D006970), epilepsy (MESH:D004827), GAD (MESH:C000726808)
- **Chemicals:** escitalopram (MESH:D000089983), dopamine (MESH:D004298), creatinine (MESH:D003404), 5-HT (MESH:D012701), Sertraline (MESH:D020280), N-desmethylsertraline (MESH:C065162)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

77 references — full list in the complete paper: https://tomesphere.com/paper/PMC12953123/full.md

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Source: https://tomesphere.com/paper/PMC12953123