Literature DB >> 25943212

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

Kristina Probst-Schendzielorz, Catharina Scholl1, Olga Efimkina, Eva Ersfeld, Roberto Viviani, Alessandro Serretti, Chiara Fabbri, David Gurwitz, Susanne Lucae2, Marcus Ising2, Anna Maria Paul1, Marie-Louise Lehmann1, Michael Steffens1, Concetta Crisafulli, Marco Calabrò, Florian Holsboer2, Julia Stingl1.   

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.

Entities:  

Keywords:  CHL1; ITGB3; MARS; Munich Antidepressant Response Signature Project; depression; gene expression; imipramine; lymphoblastoid cell line; mirtazapine; paroxetine; response biomarker

Mesh:

Substances:

Year:  2015        PMID: 25943212     DOI: 10.2217/pgs.15.31

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  5 in total

1.  New insights into the pharmacogenomics of antidepressant response from the GENDEP and STAR*D studies: rare variant analysis and high-density imputation.

Authors:  C Fabbri; K E Tansey; R H Perlis; J Hauser; N Henigsberg; W Maier; O Mors; A Placentino; M Rietschel; D Souery; G Breen; C Curtis; L Sang-Hyuk; S Newhouse; H Patel; M Guipponi; N Perroud; G Bondolfi; M O'Donovan; G Lewis; J M Biernacka; R M Weinshilboum; A Farmer; K J Aitchison; I Craig; P McGuffin; R Uher; C M Lewis
Journal:  Pharmacogenomics J       Date:  2017-11-21       Impact factor: 3.550

2.  Association of Novel ALX4 Gene Polymorphisms with Antidepressant Treatment Response: Findings from the CO-MED Trial.

Authors:  Bharathi S Gadad; Prithvi Raj; Manish K Jha; Thomas Carmody; Igor Dozmorov; Taryn L Mayes; Edward K Wakeland; Madhukar H Trivedi
Journal:  Mol Neuropsychiatry       Date:  2018-05-03

3.  Proliferation rates and gene expression profiles in human lymphoblastoid cell lines from patients with depression characterized in response to antidepressant drug therapy.

Authors:  J Breitfeld; C Scholl; M Steffens; K Brandenburg; K Probst-Schendzielorz; O Efimkina; D Gurwitz; M Ising; F Holsboer; S Lucae; J C Stingl
Journal:  Transl Psychiatry       Date:  2016-11-15       Impact factor: 6.222

4.  Citalopram-induced pathways regulation and tentative treatment-outcome-predicting biomarkers in lymphoblastoid cell lines from depression patients.

Authors:  Abdul Karim Barakat; Catharina Scholl; Michael Steffens; Kerstin Brandenburg; Marcus Ising; Susanne Lucae; Florian Holsboer; Gonzalo Laje; Ganna V Kalayda; Ulrich Jaehde; Julia Carolin Stingl
Journal:  Transl Psychiatry       Date:  2020-07-01       Impact factor: 6.222

5.  Neuroplasticity, Neurotransmission and Brain-Related Genes in Major Depression and Bipolar Disorder: Focus on Treatment Outcomes in an Asiatic Sample.

Authors:  Marco Calabrò; Laura Mandelli; Concetta Crisafulli; Soo-Jung Lee; Tae-Youn Jun; Sheng-Min Wang; Ashwin A Patkar; Prakash S Masand; Francesco Benedetti; Changsu Han; Chi-Un Pae; Alessandro Serretti
Journal:  Adv Ther       Date:  2018-09-03       Impact factor: 3.845

  5 in total

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