Literature DB >> 26166439

Genetic Polymorphisms Might Predict Suicide Attempts in Mental Disorder Patients: A Systematic Review And Meta-Analysis.

Veronica de Medeiros Alves1, Daniele Goncalves Bezerra, Tiago Gomes de Andrade, Valfrido Leao de Melo Neto, Antonio E Nardi.   

Abstract

The aim of the present study was to analyze if the genetic polymorphisms might predict suicide attempts in mental disorder patients. The literature review and meta-analysis were conducted using the PubMed/Medline, Web of science and Scopus database using the terms: "5-HTT or SLC6A4 or 5-SERT and suicide, suicidal ideation or suicidal behavior or suicidal attempt". Thirty articles were analyzed. We found 17 articles that showed association and 13 articles that showed no association between LPR serotonin transporter polymorphism and suicide. A higher study of suicide identified the serotonin transporter polymorphism in patients with schizophrenia, mental disorder, major depression and bipolar disorder. There is an association between the serotonin-transporter-linked polymorphic region and suicidal behavior. The mental disorders with greater relationship with the suicide were the bipolar disorder, major depression and schizophrenia. The L allele had higher risk for suicide.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 26166439     DOI: 10.2174/1871527314666150713104619

Source DB:  PubMed          Journal:  CNS Neurol Disord Drug Targets        ISSN: 1871-5273            Impact factor:   4.388


  7 in total

Review 1.  Comparative pathology of human and canine myxomatous mitral valve degeneration: 5HT and TGF-β mechanisms.

Authors:  Mark A Oyama; Chad Elliott; Kerry A Loughran; Alexander P Kossar; Estibaliz Castillero; Robert J Levy; Giovanni Ferrari
Journal:  Cardiovasc Pathol       Date:  2020-01-07       Impact factor: 2.185

2.  Predictors for self-directed aggression in Italian prisoners include externalizing behaviors, childhood trauma and the serotonin transporter gene polymorphism 5-HTTLPR.

Authors:  E Gorodetsky; V Carli; M Sarchiapone; A Roy; D Goldman; M-A Enoch
Journal:  Genes Brain Behav       Date:  2016-05-05       Impact factor: 3.449

Review 3.  Machine learning as the new approach in understanding biomarkers of suicidal behavior.

Authors:  Alja Videtič Paska; Katarina Kouter
Journal:  Bosn J Basic Med Sci       Date:  2021-08-01       Impact factor: 3.363

4.  The Prevalence of Psychiatric Distress and Associated Risk Factors among College Students Using GHQ-28 Questionnaire.

Authors:  Jalal Poorolajal; Ali Ghaleiha; Nahid Darvishi; Shahla Daryaei; Soheila Panahi
Journal:  Iran J Public Health       Date:  2017-07       Impact factor: 1.429

5.  Long noncoding RNA expression in peripheral blood mononuclear cells and suicide risk in Chinese patients with major depressive disorder.

Authors:  Xuelian Cui; Wei Niu; Lingming Kong; Mingjun He; Kunhong Jiang; Shengdong Chen; Aifang Zhong; Wanshuai Li; Jim Lu; Liyi Zhang
Journal:  Brain Behav       Date:  2017-05-02       Impact factor: 2.708

6.  The Life Span Model of Suicide and Its Neurobiological Foundation.

Authors:  Birgit Ludwig; Bhaskar Roy; Qingzhong Wang; Badari Birur; Yogesh Dwivedi
Journal:  Front Neurosci       Date:  2017-02-14       Impact factor: 4.677

7.  Application of group smoothly clipped absolute deviation method in identifying correlates of psychiatric distress among college students.

Authors:  Mahya Arayeshgari; Leili Tapak; Ghodratollah Roshanaei; Jalal Poorolajal; Ali Ghaleiha
Journal:  BMC Psychiatry       Date:  2020-05-04       Impact factor: 3.630

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.