Literature DB >> 31195252

Association of childhood trauma and genetic variability of CRH-BP and FKBP5 genes with suicidal behavior in bipolar patients.

A G Segura1, M Mitjans1, E Jiménez2, M Fatjó-Vilas3, V Ruiz4, P A Saiz5, M P García-Portilla5, L González-Blanco5, J Bobes5, E Vieta2, A Benabarre2, B Arias6.   

Abstract

BACKGROUND: Around 8% of bipolar disorder (BD) patients die by suicide every year, accounting for the highest rate among the psychiatric population. Suicidal behavior (SB) is mediated by an intertwining system of extrinsic and intrinsic factors. Childhood trauma (CT) and gene variants of the stress-management hypothalamic-pituitary-adrenal (HPA) axis have been reported as risk factors for SB. The aim of this study was to elucidate the association of CT and HPA axis genetic variants with SB.
METHODS: 135 BD patients were recruited for clinical assessment of CT and SB by means of the Childhood Trauma Questionnaire (CTQ) and the Columbia Suicide Severity Rating Scale (C-SSRS), respectively. A total of 28 single nucleotide polymorphisms (SNPs) from 8 HPA axis genes (POMC, NR3C2, CRH-BP, NR3C1, FKBP5, CRHR2, CRHR1, and MC2R) were genotyped.
RESULTS: The analyses showed an association of total CTQ score (p = 0.003), emotional abuse (p = 0.001), sexual abuse (p = 0.005) and emotional neglect (p = 0.005) with SB. CRH-BP rs7728378-C carriers (p = 0.004; OR = 3.05), FKBP5 rs3777747-AA (p = 0.039; OR = 0.34) and FKBP5 rs2766533-GG genotypes (p = 0.001; OR = 2.93) were associated with SB although only rs2766533 survived multiple test correction. No gene-environment interaction was found. LIMITATIONS: The relatively small sample size limits the statistical power to detect smaller environmental and genetic effects. Cross-sectional data collection in psychometric assessments can yield biased data.
CONCLUSIONS: The present study characterizes novel SB risk factors and replicates previous findings in BD patients. CT and variability in CRH-BP and FKBP5 genes should be further studied for a better understanding of SB and ultimately help in suicide prevention.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bipolar disorder; CRH-BP; Childhood trauma; FKBP5; HPA axis; Suicidal behavior

Mesh:

Substances:

Year:  2019        PMID: 31195252     DOI: 10.1016/j.jad.2019.05.014

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  6 in total

1.  Childhood Maltreatment in Bipolar Disorders.

Authors:  Bruno Etain; Monica Aas
Journal:  Curr Top Behav Neurosci       Date:  2021

2.  Impact of adverse childhood experiences on the symptom severity of different mental disorders: a cross-diagnostic study.

Authors:  Wenjie Gu; Qing Zhao; Chengmei Yuan; Zhenghui Yi; Min Zhao; Zhen Wang
Journal:  Gen Psychiatr       Date:  2022-04-22

3.  Weighted Gene Coexpression Network Analysis Reveals Essential Genes and Pathways in Bipolar Disorder.

Authors:  Zhen-Qing Zhang; Wei-Wei Wu; Jin-Dong Chen; Guang-Yin Zhang; Jing-Yu Lin; Yan-Kun Wu; Yu Zhang; Yun-Ai Su; Ji-Tao Li; Tian-Mei Si
Journal:  Front Psychiatry       Date:  2021-03-17       Impact factor: 4.157

Review 4.  Association and Genetic Expression between Genes Involved in HPA Axis and Suicide Behavior: A Systematic Review.

Authors:  Yazmín Hernández-Díaz; Alma Delia Genis-Mendoza; Thelma Beatriz González-Castro; Carlos Alfonso Tovilla-Zárate; Isela Esther Juárez-Rojop; María Lilia López-Narváez; Humberto Nicolini
Journal:  Genes (Basel)       Date:  2021-10-13       Impact factor: 4.096

5.  Integrated co-expression network analysis uncovers novel tissue-specific genes in major depressive disorder and bipolar disorder.

Authors:  Mengyao Han; Liyun Yuan; Yuwei Huang; Guiying Wang; Changsheng Du; Qingzhong Wang; Guoqing Zhang
Journal:  Front Psychiatry       Date:  2022-08-23       Impact factor: 5.435

6.  Does single gene expression omnibus data mining analysis apply for only tumors and not mental illness? A preliminary study on bipolar disorder based on bioinformatics methodology.

Authors:  Xu You; Yunqiao Zhang; Qing Long; Zijun Liu; Ziqiao Feng; Wengyu Zhang; Zhaowei Teng; Yong Zeng
Journal:  Medicine (Baltimore)       Date:  2020-08-28       Impact factor: 1.817

  6 in total

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