Abstract

Tuberculosis (TB) is the world's most prevalently infectious disease. Molecular mechanisms behind tuberculosis remain unknown. microRNA (miRNA) is involved in a wide variety of diseases. To validate the significant genes and miRNAs in the current sample, two messenger RNA (mRNA) expression profile datasets and three miRNA expression profile datasets were downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed (DE) genes (DEGs) and miRNAs (DE miRNAs) between healthy and TB patients were filtered out. Enrichment analysis was executed, and a protein-protein interaction (PPI) network was developed to understand the enrich pathways and hub genes of TB. Additionally, the target genes of miRNA were predicted and overlapping target genes were identified. We studied a total of 181 DEGs (135 downregulated and 46 upregulated genes) and two DE miRNAs (2 downregulated miRNAs) from two gene profile datasets and three miRNA profile datasets, respectively. 10 hub genes were defined based on high degree of connectivity. A PPI network's top module was constructed. The 23 DEGs identified have a significant relationship with miRNAs. 25 critically significant Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were discovered. The detailed study revealed that, in tuberculosis, the DE miRNA and DEGs form an interaction network. The identification of novel target genes and main pathways would aid with our understanding of miRNA's function in tuberculosis progression.

Highlights

  • Tuberculosis (TB) is one of the most common infectious diseases, caused by the pathogen Mycobacterium tuberculosis (MTB)

  • TB is one of the top 10 causes of death according to the World Health Organization (WHO)’s global TB report for 2020

  • Around 90% of tuberculosis patients stayed in underdeveloped countries [2]. ere are many diagnostic tools available today, including the tuberculin skin examination (TST), the interferon gamma release assay (IGRA), and imaging procedures. ey all lack precision and are more expensive and highly technical [3, 4]

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Summary

Introduction

Tuberculosis (TB) is one of the most common infectious diseases, caused by the pathogen Mycobacterium tuberculosis (MTB). It was linked to a high rate of infection and a longterm disease course [1]. TB is one of the top 10 causes of death according to the World Health Organization (WHO)’s global TB report for 2020. About ten million people were infected with tuberculosis. TB was identified as a repetitive immune reaction, and a subset of patients with tuberculosis will grow into active tuberculosis. It has a close connection with poverty. Around 90% of tuberculosis patients stayed in underdeveloped countries [2]. Around 90% of tuberculosis patients stayed in underdeveloped countries [2]. ere are many diagnostic tools available today, including the tuberculin skin examination (TST), the interferon gamma release assay (IGRA), and imaging procedures. ey all lack precision and are more expensive and highly technical [3, 4]

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