Análise in silico para predição da interação RNam-miRNas relacionados ao transtorno bipolar

Abstract

Bipolar disorder (BD) is a psychiatric disease known for its high morbidity rates influenced by a late and imprecise clinical diagnosis. In this context, biomolecules such as miRNAs and mRNA have been studied to elucidate the pathogenesis of many diseases, leading to the development of techniques to obtain an early diagnosis or to guarantee an individualized treatment. This study used in silico integrative analysis of expression data of differentially regulated miRNAs and mRNAs in whole blood samples from TB patients, in order to elucidate possible interactions of these biomolecules in TB. Therefore, miRNA-mRNA interactions in TB investigated using bioinformatics tools using microarray data and bibliographic review. A list of 81 differentially expressed mRNAs in TB patients compared when compared to controls from two available datasets (GSE46416 and GSE23848) and miRNAs. These data used in the Ingenuity Pathways Analysis 6 (IPA) analysis program. After completing the in silico analysis, a clinical casuistry are performed, consisting of two groups: one of patients with TB (n = 30) and another of control volunteers (n = 30). There was an analysis of the general and clinical data of the volunteers of the research, besides the analysis of the medical records of patients with TB. The in silico results showed 34 predictions of miRNAmRNA interaction, when miRNA-mRNA analyzes were directly involved in TB, 9 miRNAs and 28 mRNA were interconnected, in particular the binding found for TB were mi140-3p with the gene COX6C, and of these with COX7B. All three related to mitochondria, an organelle that in studies suggest that it might be impaired in TB. Regarding the clinical stage, there were significant differences in obesity, dyslipidemia and family history of mental disorders in patients with TB when compared to controls. In conclusion, these results direct future experimental studies for some miRNAs and mRNAs that may be involved directly or indirectly in the pathophysiology of TB and could be potential circulating biomarkers for use in the early detection of TB.