Literature DB >> 28341444

The importance of TCF4 gene in the etiology of recurrent depressive disorders.

Joanna Mossakowska-Wójcik1, Agata Orzechowska2, Monika Talarowska2, Janusz Szemraj3, Piotr Gałecki2.   

Abstract

BACKGROUND: A recurrent depressive disorder is one of the most commonly diagnosed disease entities among psychiatric disorders. The prevalence and morbidity of depression are constantly increasing. Numerous studies have demonstrated the role of genetic factors in the etiology of depressive disorders. Many studies are being conducted to identify genes that predispose to depression. The purpose of this study was to investigate the role of TCF4 gene in the etiology of recurrent depressive disorders and, in particular, to assess expression of the TCF4 gene at the mRNA and protein level in patients with recurrent depressive disorders versus healthy individuals.
MATERIAL AND METHODS: The examined population consisted of 170 individuals suffering from depression and 90 healthy individuals. The expressions of the TCF4 gene at the mRNA and protein level were assessed.
RESULTS: Decreased TCF4 expression at the mRNA and protein level was found in patients with depressive disorder versus healthy individuals. Expression of the studied gene was not affected by the patients' sex and age. The statistical analysis also showed no correlation between the expression of TCF4 at the mRNA and protein level and the number of episodes or the severity of symptoms. Among the clinical manifestations of depression, only the duration of the illness correlated with the expression of TCF4 at the mRNA level.
CONCLUSIONS: Expression of TCF4 at the mRNA and protein level may be significant in the pathomechanism of recurrent depressive disorder and it is not dependent on sex and age.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Depression; Etiology; Expression; TCF4 gene

Mesh:

Substances:

Year:  2017        PMID: 28341444     DOI: 10.1016/j.pnpbp.2017.03.014

Source DB:  PubMed          Journal:  Prog Neuropsychopharmacol Biol Psychiatry        ISSN: 0278-5846            Impact factor:   5.067


  9 in total

1.  Identifying disease-critical cell types and cellular processes by integrating single-cell RNA-sequencing and human genetics.

Authors:  Karthik A Jagadeesh; Kushal K Dey; Daniel T Montoro; Rahul Mohan; Steven Gazal; Jesse M Engreitz; Ramnik J Xavier; Alkes L Price; Aviv Regev
Journal:  Nat Genet       Date:  2022-09-29       Impact factor: 41.307

2.  Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions.

Authors:  David M Howard; Mark J Adams; Toni-Kim Clarke; Jonathan D Hafferty; Jude Gibson; Masoud Shirali; Jonathan R I Coleman; Saskia P Hagenaars; Joey Ward; Eleanor M Wigmore; Clara Alloza; Xueyi Shen; Miruna C Barbu; Eileen Y Xu; Heather C Whalley; Riccardo E Marioni; David J Porteous; Gail Davies; Ian J Deary; Gibran Hemani; Klaus Berger; Henning Teismann; Rajesh Rawal; Volker Arolt; Bernhard T Baune; Udo Dannlowski; Katharina Domschke; Chao Tian; David A Hinds; Maciej Trzaskowski; Enda M Byrne; Stephan Ripke; Daniel J Smith; Patrick F Sullivan; Naomi R Wray; Gerome Breen; Cathryn M Lewis; Andrew M McIntosh
Journal:  Nat Neurosci       Date:  2019-02-04       Impact factor: 28.771

3.  What genes are differentially expressed in individuals with schizophrenia? A systematic review.

Authors:  Alison K Merikangas; Matthew Shelly; Alexys Knighton; Nicholas Kotler; Nicole Tanenbaum; Laura Almasy
Journal:  Mol Psychiatry       Date:  2022-01-28       Impact factor: 13.437

4.  Modulation of cognition and neuronal plasticity in gain- and loss-of-function mouse models of the schizophrenia risk gene Tcf4.

Authors:  D M Badowska; M M Brzózka; N Kannaiyan; C Thomas; P Dibaj; A Chowdhury; H Steffens; C W Turck; P Falkai; A Schmitt; S Papiol; V Scheuss; K I Willig; D Martins-de-Souza; J S Rhee; D Malzahn; M J Rossner
Journal:  Transl Psychiatry       Date:  2020-10-09       Impact factor: 6.222

Review 5.  Gene expression studies in Depression development and treatment: an overview of the underlying molecular mechanisms and biological processes to identify biomarkers.

Authors:  Nicole Mariani; Nadia Cattane; Carmine Pariante; Annamaria Cattaneo
Journal:  Transl Psychiatry       Date:  2021-06-08       Impact factor: 6.222

6.  Functional Genomics Analysis to Disentangle the Role of Genetic Variants in Major Depression.

Authors:  Judith Pérez-Granado; Janet Piñero; Alejandra Medina-Rivera; Laura I Furlong
Journal:  Genes (Basel)       Date:  2022-07-15       Impact factor: 4.141

7.  Profiling and Co-expression Network Analysis of Learned Helplessness Regulated mRNAs and lncRNAs in the Mouse Hippocampus.

Authors:  Chaoqun Li; Feifei Cao; Shengli Li; Shenglin Huang; Wei Li; Nashat Abumaria
Journal:  Front Mol Neurosci       Date:  2018-01-11       Impact factor: 5.639

8.  Analysis of Differentially Expressed Genes in the Dentate Gyrus and Anterior Cingulate Cortex in a Mouse Model of Depression.

Authors:  Yicong Wei; Keming Qi; Yi Yu; Wei Lu; Wei Xu; Chengzi Yang; Yu Lin
Journal:  Biomed Res Int       Date:  2021-02-11       Impact factor: 3.411

Review 9.  Biological, Psychological, and Social Determinants of Depression: A Review of Recent Literature.

Authors:  Olivia Remes; João Francisco Mendes; Peter Templeton
Journal:  Brain Sci       Date:  2021-12-10
  9 in total

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