Can miRNA Indicate Risk of Illness after Continuous Exposure to M. tuberculosis?
Cleonardo Augusto SilvaArthur Ribeiro-Dos-SantosWanderson Gonçalves E GonçalvesPablo PintoRafael Pompeu PantojaTatiana Vinasco-SandovalAndré Maurício Ribeiro-Dos-SantosMara Helena HutzAmanda Ferreira VidalGilderlanio Santana de AraújoÂndrea Kely Campos Ribeiro Dos SantosSidney Emanuel Batista Dos SantosPublished in: International journal of molecular sciences (2021)
The role of regulatory elements such as small ncRNAs and their mechanisms are poorly understood in infectious diseases. Tuberculosis is one of the oldest infectious diseases of humans and it is still a challenge to prevent and treat. Control of the infection, as well as its diagnosis, are still complex and current treatments used are linked to several side effects. This study aimed to identify possible biomarkers for tuberculosis by applying NGS techniques to obtain global miRNA expression profiles from 22 blood samples of infected patients with tuberculosis (n = 9), their respective healthy physicians (n = 6) and external healthy individuals as controls (n = 7). Samples were run through a pipeline consisting of differential expression, target genes, gene set enrichment and miRNA-gene network analyses. We observed 153 altered miRNAs, among which only three DEmiRNAs (hsa-let-7g-5p, hsa-miR-486-3p and hsa-miR-4732-5p) were found between the investigated patients and their respective physicians. These DEmiRNAs are suggested to play an important role in granuloma regulation and their immune physiopathology. Our results indicate that miRNAs may be involved in immune modulation by regulating gene expression in cells of the immune system. Our findings encourage the application of miRNAs as potential biomarkers for tuberculosis.
Keyphrases
- infectious diseases
- mycobacterium tuberculosis
- pulmonary tuberculosis
- gene expression
- hiv aids
- primary care
- genome wide
- dna methylation
- induced apoptosis
- copy number
- adverse drug
- transcription factor
- ejection fraction
- genome wide identification
- emergency department
- prognostic factors
- signaling pathway
- human immunodeficiency virus
- endoplasmic reticulum stress
- cell death
- electronic health record
- genome wide analysis
- cell cycle arrest
- hiv infected