ABSTRACT
Introduction: Psychiatric disorders have become a global problem that leads millions of people to use psychotropic medications, especially benzodiazepines. The effects of these substances are widely known regarding tolerance and chemical dependence, however, from epigenetics perspective, there are still little known.Objective: To evaluate the association between psychotropic drug use, NR3C1 gene methylation and its relation with symptoms suggestive of depression in adult individuals assisted in the public health system.Methods: 385 adult volunteers (20-59 years) users of the Brazilian Unified Health System were recruited to evaluate socioeconomic, health, lifestyle conditions in a cross sectional study. BDI-II evaluated symptoms suggestive of depression and pyrosequencing evaluated NR3C1 DNA methylation. Bivariate and multivariate Poisson regression model with robust variance (p < 0.05) evaluated the association between psychotropic drug use and NR3C1 gene methylation.Results: Specific depressive symptoms such as irritability, insomnia and fatigability were associated with psychotropic drug use. Symptoms of past failure, indecision and loss of appetite were associated with hypermethylation patterns in CpGs 40 to 47 of NR3C1 gene. Moreover, psychotropic drug use is associated with 50% reduction in NR3C1 gene methylation, through model adjusted with socioeconomic, health and lifestyle confounding variables.Conclusions: Psychotropic drug use and depressive symptoms was associated with changes in NR3C1 DNA methylation. In this context, epigenetic modification resulting from psychotropic drug use and depressive symptoms could be considered, mainly in population studies with epigenetic evaluation, where these factors may be influencing the findings of future studies.
Introdução: os distúrbios psiquiátricos tornaram-se um problema global que leva milhões de pessoas ao uso de medicamentos psicotrópicos. Os efeitos dessas substâncias são amplamente conhecidos quanto à tolerância e dependência química, porém, do ponto de vista epigenético, ainda são pouco conhecidos.Objetivos: avaliar a associação entre o uso de drogas psicotrópicas, metilação do gene NR3C1 e sua relação com sintomas sugestivos de depressão em indivíduos entre 20 a 59 anos usuários da rede pública de saúde.Método: 385 voluntários de 20-59 anos, usuários do Sistema Único de Saúde brasileiro foram recrutados para avaliação das condições socioeconômicas, de saúde e de estilo de vida em estudo transversal. O BDI-II avaliou sintomas sugestivos de depressão e o pirosequenciamento avaliou a metilação do DNA de NR3C1. Modelo de regressão de Poisson bivariado e multivariado com variância robusta (p < 0,05) avaliou a associação entre o uso de drogas psicotrópicas e metilação do gene NR3C1.Resultados: sintomas depressivos específicos como irritabilidade, insônia e fadiga foram associados ao uso de medicamentos psicotrópicos. Sintomas de fracasso passado, indecisão e perda de apetite foram associados a padrões de hipermetilação nos CpGs 40 a 47 do gene NR3C1. Além disso, o uso de psicofármacos está associado à redução de 50% na metilação do gene NR3C1, por meio de modelo ajustado com variáveis de confusão socioeconômicas, de saúde e estilo de vida.Conclusão: o uso de drogas psicotrópicas e sintomas específicos depressivos foram associados a alterações na metilação do DNA de NR3C1.
ABSTRACT
Lack of complete genomic data of Bothrops jararaca impedes molecular biology research focusing on biotechnological applications of venom gland components. Identification of full-length coding regions of genes is crucial for the correct molecular cloning design. Methods: RNA was extracted from the venom gland of one adult female specimen of Bothrops jararaca. Deep sequencing of the mRNA library was performed using Illumina NextSeq 500 platform. De novo assembly of B. jararaca transcriptome was done using Trinity. Annotation was performed using Blast2GO. All predicted proteins after clustering step were blasted against non-redundant protein database of NCBI using BLASTP. Metabolic pathways present in the transcriptome were annotated using the KAAS-KEGG Automatic Annotation Server. Toxins were identified in the B. jararaca predicted proteome using BLASTP against all protein sequences obtained from Animal Toxin Annotation Project from Uniprot KB/Swiss-Pro database. Figures and data visualization were performed using ggplot2 package in R language environment. Results: We described the in-depth transcriptome analysis of B. jararaca venom gland, in which 76,765 de novo assembled isoforms, 96,044 transcribed genes and 41,196 unique proteins were identified. The most abundant transcript was the zinc metalloproteinase-disintegrin-like jararhagin. Moreover, we identified 78 distinct functional classes of proteins, including toxins, inhibitors and tumor suppressors. Other venom proteins identified were the hemolytic lethal factors stonustoxin and verrucotoxin. Conclusion: It is believed that the application of deep sequencing to the analysis of snake venom transcriptomes may represent invaluable insight on their biotechnological potential focusing on candidate molecules.(AU)