Literature DB >> 28260126

Neuroplasticity and second messenger pathways in antidepressant efficacy: pharmacogenetic results from a prospective trial investigating treatment resistance.

Chiara Fabbri1, Concetta Crisafulli2, Raffaella Calati3, Diego Albani4, Gianluigi Forloni4, Marco Calabrò2, Rosalba Martines1,4, Siegfried Kasper5, Joseph Zohar6, Alzbeta Juven-Wetzler6, Daniel Souery7, Stuart Montgomery8, Julien Mendlewicz9, Alessandro Serretti10.   

Abstract

Genes belonging to neuroplasticity, monoamine, circadian rhythm, and transcription factor pathways were investigated as modulators of antidepressant efficacy. The present study aimed (1) to replicate previous findings in an independent sample with treatment-resistant depression (TRD), and (2) to perform a pathway analysis to investigate the possible molecular mechanisms involved. 220 patients with major depressive disorder who were non-responders to a previous antidepressant were treated with venlafaxine for 4-6 weeks and in case of non-response with escitalopram for 4-6 weeks. Symptoms were assessed using the Montgomery Asberg Depression Rating Scale. The phenotypes were response and remission to venlafaxine, non-response (TRDA) and non-remission (TRDB) to neither venlafaxine nor escitalopram. 50 tag SNPs in 14 genes belonging to the pathways of interest were tested for association with phenotypes. Molecular pathways (KEGG database) that included one or more of the genes associated with the phenotypes were investigated also in the STAR*D sample. The associations between ZNF804A rs7603001 and response, CREB1 rs2254137 and remission were replicated, as well as CHL1 rs2133402 and lower risk of TRD. Other CHL1 SNPs were potential predictors of TRD (rs1516340, rs2272522, rs1516338, rs2133402). The MAPK1 rs6928 SNP was consistently associated with all the phenotypes. The protein processing in endoplasmic reticulum pathway (hsa04141) was the best pathway that may explain the mechanisms of MAPK1 involvement in antidepressant response. Signals in genes previously associated with antidepressant efficacy were confirmed for CREB1, ZNF804A and CHL1. These genes play pivotal roles in synaptic plasticity, neural activity and connectivity.

Entities:  

Keywords:  Antidepressant; Gene; Neuroplasticity; Pharmacogenetics; Polymorphism; Treatment-resistant depression

Mesh:

Substances:

Year:  2017        PMID: 28260126     DOI: 10.1007/s00406-017-0766-1

Source DB:  PubMed          Journal:  Eur Arch Psychiatry Clin Neurosci        ISSN: 0940-1334            Impact factor:   5.270


  78 in total

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Review 6.  No evidence for switching the antidepressant: systematic review and meta-analysis of RCTs of a common therapeutic strategy.

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9.  Bupropion-SR, sertraline, or venlafaxine-XR after failure of SSRIs for depression.

Authors:  A John Rush; Madhukar H Trivedi; Stephen R Wisniewski; Jonathan W Stewart; Andrew A Nierenberg; Michael E Thase; Louise Ritz; Melanie M Biggs; Diane Warden; James F Luther; Kathy Shores-Wilson; George Niederehe; Maurizio Fava
Journal:  N Engl J Med       Date:  2006-03-23       Impact factor: 91.245

10.  Novel loci for major depression identified by genome-wide association study of Sequenced Treatment Alternatives to Relieve Depression and meta-analysis of three studies.

Authors:  S I Shyn; J Shi; J B Kraft; J B Potash; J A Knowles; M M Weissman; H A Garriock; J S Yokoyama; P J McGrath; E J Peters; W A Scheftner; W Coryell; W B Lawson; D Jancic; P V Gejman; A R Sanders; P Holmans; S L Slager; D F Levinson; S P Hamilton
Journal:  Mol Psychiatry       Date:  2009-12-29       Impact factor: 15.992

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  6 in total

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

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Journal:  Transl Psychiatry       Date:  2020-07-01       Impact factor: 6.222

2.  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
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Review 3.  The Genetics of Treatment-Resistant Depression: A Critical Review and Future Perspectives.

Authors:  Chiara Fabbri; Filippo Corponi; Daniel Souery; Siegfried Kasper; Stuart Montgomery; Joseph Zohar; Dan Rujescu; Julien Mendlewicz; Alessandro Serretti
Journal:  Int J Neuropsychopharmacol       Date:  2019-02-01       Impact factor: 5.176

4.  ZNF804A Gene Variants Have a Cross-diagnostic Influence on Psychosis and Treatment Improvement in Mood Disorders.

Authors:  Marco Calabrò; Laura Mandelli; Concetta Crisafulli; Marco Di Nicola; Roberto Colombo; Luigi Janiri; Soo-Jung Lee; Tae-Youn Jun; Sheng-Min Wang; Prakash S Masand; Ashwin A Patkar; Changsu Han; Chi-Un Pae; Alessandro Serretti
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5.  Predicting SSRI-Resistance: Clinical Features and tagSNPs Prediction Models Based on Support Vector Machine.

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6.  Genetic variations of rs6928 and rs5999521 of ERK2 were found to have correlation with the risk of brain metastasis in patients with lung adenocarcinoma.

Authors:  Bo Li; Zheng Lv; Gang Zhao; Youqi Li; Xiaoguang Qiu
Journal:  Transl Cancer Res       Date:  2021-05       Impact factor: 1.241

  6 in total

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