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CHL1, ITGB3 and SLC6A4 gene expression and antidepressant drug response: results from the Munich Antidepressant Response Signature (MARS) study

Authors :
Anna Maria Paul
Alessandro Serretti
Olga Efimkina
Julia C. Stingl
Michael Steffens
David Gurwitz
Chiara Fabbri
Eva Ersfeld
Marcus Ising
Susanne Lucae
Catharina Scholl
Concetta Crisafulli
Kristina Probst-Schendzielorz
Roberto Viviani
Marco Calabrò
Marie-Louise Lehmann
Florian Holsboer
Probst-Schendzielorz, Kristina
Scholl, Catharina
Efimkina, Olga
Ersfeld, Eva
Viviani, Roberto
Serretti, Alessandro
Fabbri, Chiara
Gurwitz, David
Lucae, Susanne
Ising, Marcu
Paul, Anna Maria
Lehmann, Marie-Louise
Steffens, Michael
Crisafulli, Concetta
Calabrò, Marco
Holsboer, Florian
Stingl, Julia
Source :
Pharmacogenomics. 16:689-701
Publication Year :
2015
Publisher :
Future Medicine Ltd, 2015.

Abstract

Aim: The identification of antidepressant drugs (ADs) response biomarkers in depression is of high clinical importance. We explored CHL1 and ITGB3 expression as tentative response biomarkers. Materials & methods: In vitro sensitivity to ADs, as well as gene expression and genetic variants of the candidate genes CHL1, ITGB3 and SLC6A4 were measured in lymphoblastoid cell lines (LCLs) of 58 depressed patients. Results: An association between the clinical remission of depression and the basal expression of CHL1 and ITGB3 was discovered. Individuals whose LCLs expressed higher levels of CHL1 or ITGB3 showed a significantly better remission upon AD treatment. In addition individuals with the CHL1 rs1516338 TT genotype showed a significantly better remission after 5 weeks AD treatment than those carrying a CC genotype. No association between the in vitro sensitivity of LCLs toward AD and the clinical remission could be detected. Conclusion: CHL1 expression in patient-derived LCLs correlated with the clinical outcome. Thus, it could be a valid biomarker to predict the success of an antidepressant therapy. Original submitted 8 December 2014; Revision submitted 2 March 2015

Details

ISSN :
17448042 and 14622416
Volume :
16
Database :
OpenAIRE
Journal :
Pharmacogenomics
Accession number :
edsair.doi.dedup.....91338ed499cd3e6a50fc571818b594fc