Literature DB >> 19468717

Monoamine transporter gene polymorphisms affect susceptibility to depression and predict antidepressant response.

Wenjiao Min1, Tao Li, Xiaohong Ma, Zhengyu Li, Tao Yu, Dong Gao, Bo Zhang, Yang Yun, Xueli Sun.   

Abstract

RATIONALE: Serotonin transporter (5-HTT) and norepinephrine transporter (NET) are the primary targets of many antidepressants. We aimed to determine the potential correlations of 5-HTT/NET gene polymorphisms with the susceptibility to depression and the antidepressant response to selective serotonin reuptake inhibitors (SSRIs) or dual selective serotonin/norepinephrine reuptake inhibitors (SNRIs).
METHODS: A total of 579 depressed patients and 437 healthy controls, all of Chinese Han region, were collected and genotyped by polymerase chain reactions (PCR). All patients were under treatment of SSRI or SNRI for 6 weeks, and were evaluated using a 17-item Hamilton Depression Rating Scale (HAMD).
RESULTS: Five hundred sixty-seven of 579 patients completed the total treatment, of which 362 were in SSRI and 205 in SNRI group. It was shown that the NET-T182C, interacting with 5-HTTLPR, was associated with the susceptibility to depression. Patients with both NET-T182C C/C and 5-HTTLPR S/S genotypes had lower baseline HAMD scores. Patients with 5-HTTLPR L/L or STin2 12/12 genotype experienced better clinical response to the SSRI treatment. Besides, the STin2 12/12 carriers showed a superior reduction to HAMD scores over treatment period. No correlation between NET T182C/G1287A polymorphisms and antidepressant response was observed.
CONCLUSIONS: Our study revealed a positive association of the NET-T182C polymorphism with susceptibility to and severity of depression, and a positive association between the 5-HTT polymorphisms and the antidepressant response to SSRI. Combinations of these polymorphisms provided some potential gene-gene interaction effects. These findings might be of some clinical values in optimization of depression treatment.

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Year:  2009        PMID: 19468717     DOI: 10.1007/s00213-009-1550-3

Source DB:  PubMed          Journal:  Psychopharmacology (Berl)        ISSN: 0033-3158            Impact factor:   4.530


  45 in total

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