The impact of gut microbiota on thyroid immune response: bioinformatics analysis
O impacto da microbiota intestinal na resposta imunológica da tireoide – avaliação com ferramentas de bioinformática
Luis Jesuino De Oliveira Andrade; Gabriela Correia Matos De-Oliveira; Luisa Correia Matos De-Oliveira; Alcina Maria Vinhaes Bittencourt; Raymundo Paraná; Catharina Peixoto Silva; Luis Matos De-Oliveira
Abstract
Introduction: Perturbations in the composition and functionality of gut microbiota have been implicated in various autoimmune diseases, including those affecting the thyroid gland, but the exact mechanisms are still unclear, despite recent progress in research. Objective: To investigate the influence of gut microbiota on thyroid immune response through bioinformatics analysis. Methods: The study used genomic and proteomic sequence data from the National Center for Biotechnology Information database to examine the influence of gut microbiota on thyroid immune response. Taxonomic analysis and metagenomic analysis were performed, and functional annotation tools were used to identify sequences and pathways involved in immune response. Biological networks were constructed to understand the complex biological interactions. Results: Sequences of 944 microorganisms specific to thyroid immune response were obtained from the National Center for Biotechnology Information. The taxonomic composition consisted of Bacteroides stercoris (35%), Agathobacter rectalis (25%), Prevotella jejuni (15%), and Roseburia (10%), and smaller percentages of Bifidobacterium faecale, Clostridium coccoides, Clostridium leptum, and Lactobacillus iners. The taxonomic diversity index was high (0.85). Biological networks were constructed, revealing 8 significant modules. The NF-kB and MAPK signaling pathway was identified as specifically influencing gut microbiota, playing a critical role in modulating thyroid immune response. Conclusions: We identified a diverse set of microorganisms specific to thyroid immune response, and through biological network analysis we identified a critical signaling pathway in modulating thyroid immune response.
Keywords
Resumo
Introdução: Perturbações na composição e funcionalidade da microbiota intestinal têm sido implicadas em diversas doenças autoimunes, incluindo aquelas que afetam a glândula tireoide, mas os mecanismos exatos ainda não estão claros, apesar dos avanços recentes na pesquisa. Objetivo: Investigar a influência da microbiota intestinal nas respostas imunes da tireoide usando ferramentas bioinformáticas. Métodos: O estudo utilizou dados de sequências genômicas e proteômicas do banco de dados NCBI para avaliar a influência da microbiota intestinal nas respostas imunes da tireoide. Foram realizadas análises taxonômicas e metagenômicas, e ferramentas de anotação funcional foram usadas para identificar sequências e vias envolvidas na resposta imune. Redes biológicas foram construídas para entender as interações biológicas complexas. Resultados: Um total de 944 sequências de microrganismos específicos para a resposta imune da tireoide foi obtido do NCBI. A composição taxonômica consistiu em Agathobacter rectalis, Bacteroides stercoris, Bifidobacterium faecale, Clostridium coccoides, Clostridium leptum, Lactobacillus iners, Prevotella jejuni e Roseburia. Bacteroides stercoris representou 35% da composição, Agathobacter rectalis representou 25%, Prevotella jejuni representou 15% e Roseburia representou 10%. O índice de diversidade taxonômica foi de 0,85, indicando alta diversidade. Redes biológicas foram construídas, revelando 8 módulos significativos. A via de sinalização NF-kB e MAPK foi identificada como a via específica que influencia a microbiota intestinal nas respostas imunes da tireoide, desempenhando um papel crítico na modulação da resposta imune da tireoide. Conclusão: Identificamos um conjunto diversificado de microrganismos específicos para a resposta imune da tireoide e, por meio da análise de redes biológicas, identificamos a via de sinalização como sendo essencial na modulação da resposta imune da tireoide.
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Referências
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Submetido em:
05/12/2023
Aceito em:
31/03/2024
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