CYP1A2 genetic polymorphisms are associated with early antidepressant escitalopram metabolism and adverse reactions

  • Hsiang Wei Kuo
  • , Shu Chih Liu
  • , Hsiao Hui Tsou
  • , Sheng Wen Liu
  • , Keh Ming Lin
  • , Shao Chun Lu
  • , Mei Chun Hsiao
  • , Chin Fu Hsiao
  • , Chia Yih Liu
  • , Chia Hui Chen
  • , Mong Liang Lu
  • , Winston W. Shen
  • , Hwa Sheng Tang
  • , Shen Ing Liu
  • , Liang Huey Chang
  • , Hsiao Yu Wu
  • , Yao Sheng Chang
  • , Teng Kuang Yeh
  • , Andrew Ch Chen
  • , Yu Li Liu*
  • *Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

32 Scopus citations

Abstract

Aim: The liver CYP1A2 enzyme may metabolize antidepressant escitalopram (S-CIT) to S-desmethylcitalopram (S-DCIT) and S-didesmethylcitalopram (S-DDCIT). This study tested whether genetic polymorphisms in the CYP1A2 gene are associated with the treatment responses to S-CIT. Materials & methods: Ten SNPs in CYP1A2 were selected and genotyped in 158 patients under S-CIT treatment. The serum levels of S-CIT and its metabolites were measured by HPLC. Results:CYP1A2 SNPs rs2069521, rs2069526, rs4646425 and rs4646427 are significantly associated with the metabolic ratios of S-DDCIT/S-DCIT (p = 0.002, 0.018, 0.008 and 0.004, respectively) at week 2 of treatment. Carriers of the allele types associated with higher S-DDCIT/S-DCIT ratios had more severe side effects. Conclusion: These results suggest that genetic variants in CYP1A2 may be indicators for S-CIT metabolism and that the fast metabolizers may experience more severe adverse reactions in the early stages of S-CIT treatment. Original submitted 27 December 2012; Revision submitted 15 May 201.

Original languageEnglish
Pages (from-to)1191-1201
Number of pages11
JournalPharmacogenomics
Volume14
Issue number10
DOIs
StatePublished - 07 2013
Externally publishedYes

Keywords

  • CYP1A2
  • SNP
  • escitalopram
  • major depressive disorder
  • side effects

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