Literature DB >> 29164477

Genetic Variants Within Molecular Targets of Antipsychotic Treatment: Effects on Treatment Response, Schizophrenia Risk, and Psychopathological Features.

Marco Calabrò1, Stefano Porcelli2, Concetta Crisafulli1, Sheng-Min Wang3, Soo-Jung Lee3, Changsu Han4, Ashwin A Patkar5, Prakash S Masand6,7, Diego Albani8, Ilaria Raimondi8, Gianluigi Forloni8, Sofia Bin9, Carlotta Cristalli9, Vilma Mantovani9, Chi-Un Pae10,11,12,13, Alessandro Serretti2.   

Abstract

Schizophrenia (SCZ) is a common and severe mental disorder. Genetic factors likely play a role in its pathophysiology as well as in treatment response. In the present study, we investigated the effects of several single nucleotide polymorphisms (SNPs) within 9 genes involved with antipsychotic (AP) mechanisms of action. Two independent samples were recruited. The Korean sample included 176 subjects diagnosed with SCZ and 326 healthy controls, while the Italian sample included 83 subjects and 194 controls. AP response as measured by the positive and negative syndrome scale (PANSS) was the primary outcome, while the secondary outcome was the SCZ risk. Exploratory analyses were performed on (1) symptom clusters response (as measured by PANSS subscales); (2) age of onset; (3) family history; and (4) suicide history. Associations evidenced in the primary analyses did not survive to the FDR correction. Concerning SCZ risk, we partially confirmed the associations among COMT and MAPK1 genetic variants and SCZ. Finally, our exploratory analysis suggested that CHRNA7 and HTR2A genes may modulate both positive and negative symptoms responses, while PLA2G4A and SIGMAR1 may modulate respectively positive and negative symptoms responses. Moreover, GSK3B, HTR2A, PLA2G4A, and S100B variants may determine an anticipation of SCZ age of onset. Our results did not support a primary role for the genes investigated in AP response as a whole. However, our exploratory findings suggested that these genes may be involved in symptom clusters response.

Entities:  

Keywords:  Antipsychotics; Deep phenotyping; Genetics; Schizophrenia

Mesh:

Substances:

Year:  2017        PMID: 29164477     DOI: 10.1007/s12031-017-1002-1

Source DB:  PubMed          Journal:  J Mol Neurosci        ISSN: 0895-8696            Impact factor:   3.444


  63 in total

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Authors:  Garret O'Connell; Stephen M Lawrie; Andrew M McIntosh; Jeremy Hall
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Review 2.  Ethnicity and antipsychotic response.

Authors:  E J Frackiewicz; J J Sramek; J M Herrera; N M Kurtz; N R Cutler
Journal:  Ann Pharmacother       Date:  1997-11       Impact factor: 3.154

Review 3.  Regulation of extrasynaptic signaling by polysialylated NCAM: Impact for synaptic plasticity and cognitive functions.

Authors:  Hristo Varbanov; Alexander Dityatev
Journal:  Mol Cell Neurosci       Date:  2016-11-16       Impact factor: 4.314

4.  The GSK3B gene confers risk for both major depressive disorder and schizophrenia in the Han Chinese population.

Authors:  Jianhua Chen; Meng Wang; Raja Amjad Waheed Khan; Kuanjun He; Qingzhong Wang; Zhiqiang Li; Jiawei Shen; Zhijian Song; Wenjin Li; Zujia Wen; Yiwen Jiang; Yifeng Xu; Yongyong Shi; Weidong Ji
Journal:  J Affect Disord       Date:  2015-06-25       Impact factor: 4.839

Review 5.  COMT, neuropsychological function and brain structure in schizophrenia: a systematic review and neurobiological interpretation.

Authors:  Elisa Ira; Martina Zanoni; Mirella Ruggeri; Paola Dazzan; Sarah Tosato
Journal:  J Psychiatry Neurosci       Date:  2013-11       Impact factor: 6.186

6.  Association of promoter variants in the alpha7 nicotinic acetylcholine receptor subunit gene with an inhibitory deficit found in schizophrenia.

Authors:  Sherry Leonard; Judith Gault; Jan Hopkins; Judith Logel; Ruby Vianzon; Margaret Short; Carla Drebing; Ralph Berger; Diana Venn; Pinkhas Sirota; Gary Zerbe; Ann Olincy; Randal G Ross; Lawrence E Adler; Robert Freedman
Journal:  Arch Gen Psychiatry       Date:  2002-12

Review 7.  Is the PANSS used correctly? a systematic review.

Authors:  Michael Obermeier; Rebecca Schennach-Wolff; Sebastian Meyer; Hans-Jürgen Möller; Michael Riedel; Daniela Krause; Florian Seemüller
Journal:  BMC Psychiatry       Date:  2011-07-18       Impact factor: 3.630

8.  T102C polymorphism of serotonin 2A type receptor gene confers susceptibility to (early onset) schizophrenia in Han Chinese: an association study and meta-analysis.

Authors:  Jianliang Ni; Weihong Lu; Zhiguo Wu; Jun Chen; Zhenghui Yi; Chen Zhang
Journal:  Asia Pac Psychiatry       Date:  2013-01-22       Impact factor: 2.538

Review 9.  The global cognitive impairment in schizophrenia: consistent over decades and around the world.

Authors:  Jonathan Schaefer; Evan Giangrande; Daniel R Weinberger; Dwight Dickinson
Journal:  Schizophr Res       Date:  2013-08-02       Impact factor: 4.939

10.  PPARα regulates cholinergic-driven activity of midbrain dopamine neurons via a novel mechanism involving α7 nicotinic acetylcholine receptors.

Authors:  Miriam Melis; Simona Scheggi; Gianfranca Carta; Camilla Madeddu; Salvatore Lecca; Antonio Luchicchi; Francesca Cadeddu; Roberto Frau; Liana Fattore; Paola Fadda; M Grazia Ennas; M Paola Castelli; Walter Fratta; Bjorn Schilstrom; Sebastiano Banni; M Graziella De Montis; Marco Pistis
Journal:  J Neurosci       Date:  2013-04-03       Impact factor: 6.167

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  2 in total

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Authors:  Kazunari Yoshida; Daniel J Müller
Journal:  Mol Neuropsychiatry       Date:  2018-09-26

2.  Association Between the COMT Val158Met Polymorphism and Antipsychotic Efficacy in Schizophrenia: An Updated Meta-Analysis.

Authors:  Jingsong Ma; Mingzhe Zhao; Wei Zhou; Mo Li; Cong Huai; Lu Shen; Ting Wang; Hao Wu; Na Zhang; Zhiruo Zhang; Lin He; Shengying Qin
Journal:  Curr Neuropharmacol       Date:  2021       Impact factor: 7.363

  2 in total

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