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

Segura, Álex G.; Mitjans, Marina; Jiménez, Esther; Fatjó‐Vilas, Mar; Ruíz, Victoria; Sáiz, Pilar A.; García-Portilla, M.P.; González‐Blanco, Leticia; Bobes, Julio; Vieta, Eduard; Benabarre, Antoni; Arias, Bárbara

doi:10.1016/j.jad.2019.05.014

Cited by 26 publications

(25 citation statements)

References 51 publications

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“…Alterations in stress-induced regulation via any genetic factor could have important influences on SB. Some stress pathways genes that have been studied in SB include NR3C1, [19,20]; FKBP5 [21,22]; CRHR1 [23,24]; and SKA2 gene [25,26]. Candidate gene studies have shown differentially expressed mRNA patterns and single-nucleotide polymorphisms (SNPs) in Caucasian and African American populations associated with SB [27,28].…”

Section: Figurementioning

confidence: 99%

“…Eighteen studies [19,21,22,28,[31][32][33][34][35][36][37][38][39][40][41][42][43][44] analyzed the association between FKBP5 SNPs and SB phenotypes comprising 4239 cases and 9646 controls. The first study conducted in 2007 by Papiol et al [31] highlighted a significant association between the rs1360780 SNP and SA.…”

Section: Fkbp5 Genementioning

confidence: 99%

“…Both studies demonstrated that CRH gene was upregulated in brain tissue of CS compared with brain tissue from controls. Five studies [19,27,28,31,38] investigated the CRHBP SNPs, each with significant findings (1016 cases and 1592 controls). In 2010, De Luca et al [27] observed that the heterozygous genotype of rs1875999 was significantly associated with SA and risk of SA.…”

Section: Crh Genementioning

confidence: 99%

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

Hernández‐Díaz

Genis‐Mendoza

González-Castro

et al. 2021

Genes

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Background: Suicide behavior (SB) has been highly associated with the response to stress and the hypothalamic–pituitary–adrenal (HPA) axis. The aim of this study was to summarize the results obtained in genetic studies that analyzed the HPA axis—stress pathway and SB through a systematic review. Methods: We performed an online search in PubMed, EBSCO, Web of Science, Scopus, and PsycoInfo databases up to May 2021. We followed the PRISMA guidelines for systematic reviews. We included case-control and expression studies that provided data on mRNA expression and single-nucleotide polymorphisms of genes associated with SB. Results: A total of 21,926 individuals participated across 41 studies (not repeats); 34 studies provided data on single-nucleotide polymorphisms in 21,284 participants and 11 studies reported data on mRNA expression in 1034 participants. Ten genes were identified: FKBP5, CRH, CRHBP, CRHR1, CRHR2, NR3C1, NR3C2, SKA2, MC2R, and POMC. Conclusions: Our findings suggest that key stress pathway genes are significantly associated with SB and show potential as biomarkers for SB.

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Section: Figurementioning

confidence: 99%

Section: Fkbp5 Genementioning

confidence: 99%

Section: Crh Genementioning

confidence: 99%

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

Hernández‐Díaz

Genis‐Mendoza

González-Castro

et al. 2021

Genes

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“…It is well known and seems to be undeniable that an increasing number of studies focused on affective disorders are becoming involved in the domain of the environment and genes. [ 6 – 10 ] It was revealed in a recent magnetic resonance imaging study that the brain tissue structure of BD patients is widely affected, particularly with reductions in gray matter volume, [ 11 , 12 ] accompanied by enlargement of the brain ventricle [ 13 , 14 ] and corpus callosum impairment. [ 15 , 16 ] Accumulating evidence suggests that the occurrence of BD is implicated in various disorders, such as inflammatory disorders, [ 17 ] dysfunction of neuroplasticity, [ 18 ] oxidative stress, and mitochondrial dysfunction.…”

Section: Introductionmentioning

confidence: 99%

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

Zhang

Long

et al. 2020

Medicine

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Background: Bipolar disorder (BD), a common kind of mood disorder with frequent recurrence, high rates of additional comorbid conditions and poor compliance, has an unclear pathogenesis. The Gene Expression Omnibus (GEO) database is a gene expression database created and maintained by the National Center for Biotechnology Information. Researchers can download expression data online for bioinformatics analysis, especially for cancer research. However, there is little research on the use of such bioinformatics analysis methodologies for mental illness by downloading differential expression data from the GEO database. Methods: Publicly available data were downloaded from the GEO database (GSE12649, GSE5388 and GSE5389), and differentially expressed genes (DEGs) were extracted by using the online tool GEO2R. A Venn diagram was used to screen out common DEGs between postmortem brain tissues and normal tissues. Functional annotation and pathway enrichment analysis of DEGs were performed by using Gene ontology and Kyoto Encyclopedia of Genes and Genomes analyses, respectively. Furthermore, a protein-protein interaction network was constructed to identify hub genes. Results: A total of 289 DEGs were found, among which 5 of 10 hub genes [HSP90AA1, HSP90AB 1, UBE2N, UBE3A, and CUL1] were identified as susceptibility genes whose expression was downregulated. Gene ontology and Kyoto Encyclopedia of Genes and Genomes analyses showed that variations in these 5 hub genes were obviously enriched in protein folding, protein polyubiquitination, apoptotic process, protein binding, the ubiquitin-mediated proteolysis pathway, and protein processing in the endoplasmic reticulum pathway. These findings strongly suggested that HSP90AA1, UBE3A, and CUL 1, which had large areas under the curve in receiver operator curves ( P < .05), were potential diagnostic markers for BD. Conclusion: Although there are 3 hub genes [HSP90AA1, UBE3A, and CUL 1] that are tightly correlated with the occurrence of BD, mainly based on routine bioinformatics methods for cancer-related disease, the feasibility of applying this single GEO bioinformatics approach for mental illness is questionable, given the significant differences between mental illness and cancer-related diseases.

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“…El estudio no mostró asociación entre los polimorfismos de los genes CRHR1, CRHR2, NR3C1 y NR3C2 y el IS. De tal manera que los resultados son consistentes con los de otros previamente reportados en la literatura Yin et al, 2016;Segura et al, 2019). Además, el análisis de asociación de los haplotipos de los genes CRHR1, CRHR2, NR3C1 y NR3C2 y el IS concordó con dos estudios previos en los que no se muestra asociación.…”

Section: Discussionunclassified

Estudio de interacción entre genes del eje hipotálamo-hipófisis-adrenal y el trauma en la infancia en el intento suicida

Jiménez

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

Cited by 26 publications

References 51 publications

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

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

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

Estudio de interacción entre genes del eje hipotálamo-hipófisis-adrenal y el trauma en la infancia en el intento suicida

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