Antidepressants, genetic risk, and the prevention of bipolar disorder

Sanches, Marsal; Quevedo, Joao L De; Soares, Jair C.

doi:10.1590/1516-4446-2020-0016

Cited by 3 publications

(2 citation statements)

References 5 publications

(5 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Esse atraso faz com que muitas pessoas deixem de ser tratadas adequadamente. Muitos são diagnosticados com depressão e recebem antidepressivos sem drogas reguladoras do humor, contribuindo para mais oscilações (Sanches et al, 2020).…”

Section: Introductionunclassified

As enigmáticas facetas genéticas, inflamatórias e ambientais e do transtorno bipolar: uma revisão integrativa

Santos

Vida

Thiago

et al. 2022

RSD

View full text Add to dashboard Cite

Com o objetivo de demonstrar os fatores que influem direta e indiretamente na etiologia do Transtorno Bipolar (TB), usando da estratégia PICO, foram utilizados 22 artigos com diferentes abordagens sobre a gênese do TB, dos quais abordavam o ponto de vista genético, biológico e ambiental que poderiam influir sobre o indivíduo. Essas influências se entrelaçam umas às outras, tendo em vista que essa patologia possui uma herdabilidade importante, decorrente da confluência de vários fatores, inclusive da demora em se ter o diagnóstico e, portanto, o tratamento devido. Entretanto, o fato de muitos dos estudos realizados, do ponto de vista genético, utilizarem de modelos animais, coloca em dúvida a validade de alguns argumentos, denotando ainda a necessidade de estudos mais amplos na área. Contudo os dados observacionais coletados em bases humanas permanecem contundentes, sendo possível o estabelecimento de fatores de risco, dos quais ativam mecanismos epigenéticos que têm relação importante com o desenvolvimento do TB.

show abstract

Section: Introductionunclassified

As enigmáticas facetas genéticas, inflamatórias e ambientais e do transtorno bipolar: uma revisão integrativa

Santos

Vida

Thiago

et al. 2022

RSD

View full text Add to dashboard Cite

show abstract

“…It is estimated that the incidence of BD was 30% to 69% in Europe and in the United States [3]. The risk factors associated with BD such as obesity [4], anxiety [5], depression [6], cognitive dysfunction [7], pregnancy [8], hypertension [9], cardiovascular diseases [10], diabetes mellitus [11] and genetic factor [12]. A numerous tests are available for screening and detecting BD; all, however, have their disadvantages [13].…”

Section: Introductionmentioning

confidence: 99%

Identification of Key Genes and Biological Pathways in Bipolar Disorder by Bioinformatics and Next Generation Sequencing Data Analysis

Vastrad¹,

Vastrad²

2022

Preprint

View full text Add to dashboard Cite

Bipolar disorder (BD), also known as psychiatric disorder, affects millions of people all over the world. The aim of this investigation was to screen and verify hub genes involved in BD as well as to explore potential molecular mechanisms. The next generation sequencing (NGS) dataset GSE124326 was downloaded from the Gene Expression Omnibus (GEO) database, which contained 480 samples, including 240 BD and 240 normal controls. Differentially expressed genes (DEGs) were filtered and subjected to gene ontology (GO) and pathway enrichment analyses. A protein–protein interaction (PPI) network and module analysis were used to identify hub genes. The miRNA-hub gene regulatory network and TF-hub gene regulatory network were also constructed. Receiver operating characteristic curve (ROC) analysis was used to validate hub genes. In this work, 957 DEGs, including 477 up regulated and 480 down regulated, were obtained from NGS data. The GO and pathway enrichment analyses of the DEGs showed that the up regulated genes were enriched in the neutrophil degranulation, immune system, transport, cytoplasm and enzyme regulator activity, and the down regulated genes were enriched in extracellular matrix organization, diseases of metabolism, multicellular organismal process, cell periphery and metal ion binding. Finally, through analyzing the PPI network, miRNA-hub gene regulatory network and TF-hub gene regulatory network, we screened hub genes UBB, UBE2D1, TUBA1A, RPL11, RPS24, NOTCH3, CAV1, CNBD2, CCNA1 and MYH11 by the Cytoscape software. The current investigation illustrates a characteristic NGS data in BD, which might contribute to the interpretation of the progression of BD and provide novel biomarkers and therapeutic targets for BD.

show abstract

Long-term exposure to ambient air pollution, genetic susceptibility, and the incidence of bipolar disorder: A prospective cohort study

Cui

et al. 2023

Psychiatry Research

View full text Add to dashboard Cite

Antidepressants, genetic risk, and the prevention of bipolar disorder

Cited by 3 publications

References 5 publications

As enigmáticas facetas genéticas, inflamatórias e ambientais e do transtorno bipolar: uma revisão integrativa

As enigmáticas facetas genéticas, inflamatórias e ambientais e do transtorno bipolar: uma revisão integrativa

Identification of Key Genes and Biological Pathways in Bipolar Disorder by Bioinformatics and Next Generation Sequencing Data Analysis

Long-term exposure to ambient air pollution, genetic susceptibility, and the incidence of bipolar disorder: A prospective cohort study

Contact Info

Product

Resources

About