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A circRNA-miRNA-mRNA regulatory network associated with the treatment response to tuberculosis

Wei Tan1, Li Zhang1, Shanmei Wang2

  • 1Department of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.

Microbial Pathogenesis
|December 10, 2020
PubMed
Abstract

Insights

This study constructed a tuberculosis (TB) regulatory RNA network, identifying key genes like CACNA1I and IGF2BP3 that may influence treatment response, aiding in TB diagnosis and therapy. This research offers potential biomarkers for TB management.

Area of Science:

  • Biochemistry
  • Genetics
  • Molecular Biology

Background:

  • Tuberculosis (TB) poses significant global health challenges with high morbidity and mortality.
  • Understanding the molecular mechanisms of TB development and progression is crucial for effective interventions.

Purpose of the Study:

  • To analyze regulatory RNAs and target genes in TB.
  • To identify potential genetic biomarkers for TB diagnosis and treatment.

Main Methods:

  • Expression profiles of circRNAs, miRNAs, and mRNAs were analyzed in TB patients and healthy controls.
  • A circRNA-miRNA-mRNA competing endogenous RNA (ceRNA) network was constructed.
  • Functional annotation and regression analysis were performed to identify treatment-responsive genes.

Main Results:

  • 133 differentially expressed mRNAs (DEmRNAs), 37 DEcircRNAs, and 173 DEmiRNAs were identified.
  • A ceRNA network was built using 30 DEcircRNAs, 27 DEmiRNAs, and 35 DEmRNAs.
  • CACNA1I, IGF2BP3, LPCAT2, SPOCK2, and IRF2 showed significant correlation with anti-TB treatment response.

Conclusions:

  • A TB-associated ceRNA network involving DEcircRNAs, DEmiRNAs, and DEmRNAs was successfully constructed.
  • Specific DEmRNAs within the network show potential as indicators of TB treatment response.
Keywords:
Competing endogenous RNA (ceRNA)Treatment responseTuberculosis

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