An Association Study between Various Adrenergic Alpha 2 Receptor Polymorphisms and Treatment Response to Mirtazapine in Major Depression.
- Author:
Jin Woo KIM
1
;
Shinn Won LIM
;
Hong CHOI
;
Su Yeon KIM
;
Woo Jae MYUNG
;
Yu Jin LEE
;
Ji Hye SONG
;
Jae Won CHUNG
;
Doh Kwan KIM
Author Information
1. Department of Psychiatry, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. dohkwan.kim@samsung.com
- Publication Type:Original Article
- Keywords:
Mirtazapine;
Single nucleotide polymorphism;
Pharmacogenetics;
Major depression;
Adrenergic receptor
- MeSH:
Antidepressive Agents;
Depression;
Genotype;
Humans;
Logistic Models;
Mianserin;
Pharmacogenetics;
Polymorphism, Genetic;
Polymorphism, Single Nucleotide;
Receptors, Adrenergic;
Stress, Psychological
- From:Journal of Korean Geriatric Psychiatry
2010;14(1):20-26
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
OBJECTIVES: Genetic differences may contribute to the inter-individual differences in treatment response to antidepressants among patients suffering from major depression. This study investigated a possible association of treatment response to mirtazapine with various adrenergic alpha 2 receptor polymorphisms in major depressive patients. METHODS: A 6-week naturalistic treatment study with a blinded outcome examined 84 Korean patients with major depression. Treatment response to mirtazapine was defined as > or =50% decrease in HAM-D scores at six weeks. In this study, four genetic polymorphisms were selected ; ADRA2A MspI, ADRA2A DraI, alpha2BDel301-303, and alpha2CDel322-325. RESULTS: The Del/Del genotype of alpha2CDel322-325 exhibited a significant association with response to mirtazapine through multiple logistic regression. ADRA2A DraI, alpha2BDel301-303, and alpha2CDel322-325 did not showed a significant association with response to mirtazapine. CONCLUSION: Based on the finding that alpha2CDel322-325 polymorphism had an association with the mirtazapine response, we postulate that the polymorphism related to the mechanism of the antidepressant effect is important in predicting the response to antidepressants.
