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Pharmacogenetics in modern psychiatry
Alma Mihaljević-Peles1, Nada Bozina, Marina Sagud
1Clinical Hospital Centre Zagreb Kispatićeva 12, 10000 Zagreb, Croatia. apeles@mef.hr
Genetic variations influence antidepressant response. The SERTPR-LL genotype may predict better treatment outcomes for major depressive disorder (MDD) patients taking paroxetine, unlike other tested variants.
Area of Science:
- Pharmacogenetics
- Psychiatric pharmacotherapy
- Molecular psychiatry
Background:
- Predicting patient response to psychiatric medications remains challenging.
- Genetic variations in drug-metabolizing enzymes, transporters, and targets contribute to treatment heterogeneity.
- Identifying reliable genetic predictors for antidepressant efficacy and adverse effects is clinically valuable.
Purpose of the Study:
- To investigate the association between genetic polymorphisms of the serotonin transporter (SERT) and multidrug resistance protein 1 (MDR1) and the therapeutic response to paroxetine in major depressive disorder (MDD) patients.
- To determine if specific SERT and MDR1 genotypes can predict treatment outcomes and inform personalized pharmacotherapy.
Main Methods:
- Genotyping of serotonin transporter (SERT) gene (SLC6A4) and MDR1 gene (ABCB1) polymorphisms in MDD patients.
- Assessing patient response to paroxetine treatment using standardized clinical scales.
- Statistical analysis to correlate specific genotypes with treatment efficacy and response.
Main Results:
- The SERTPR-LL genotype was significantly associated with a better treatment response to paroxetine in MDD patients compared to the SS genotype.
- No significant association was found between the MDR1 gene variants (G2677T and C3435T) and therapeutic response to paroxetine in this patient cohort.
Conclusions:
- The SERTPR-LL genotype may serve as a potential predictive biomarker for favorable response to paroxetine treatment in MDD.
- Further research is warranted to validate these findings and explore the combined effects of multiple genetic factors in predicting antidepressant response.
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