TB Research

Diagnostic Potential of miR-146a-5p in Differentiating Active and Latent Tuberculosis Infections: A Cross-sectional Study.

Ovi Rusmariza, Muhammad Nasrum Massi, Rizalinda Sjahril, Handayani, Zainul Muttaqin, Baedah Madjid, Yoeke Dewi Rasita, Nadyah, et al. (9 authors)

International journal of mycobacteriology · 2025-10

Abstract

BACKGROUND: Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis, one of which involves miR-146a-5p as a specific microRNA molecule that is expressed exclusively on immune cells to modulate innate immunity. This study aims to examine and compare the expression of miR-146a-5p in active and latent TB patients. This study utilized a descriptive-analytic and cross-sectional design.

METHODS: We used real-time quantitative polymerase chain reaction method to examine the strength of miR-146a-5p expression. Statistical analysis involved employing descriptive statistics to summarize the sample characteristics. One-way analysis of variance was utilized to conduct inferential analysis, evaluating the differences in miR-146a-5p expression across various groups. The odds ratio calculation was employed to assess the strength of association, whereas the receiver-operating characteristic curve analysis was performed to examine the diagnostic potential.

RESULTS: The results showed that men dominated the incidence of active TB compared to women with a prevalence of 83% and 17%, respectively. While in latent TB, women dominated compared to men (78% and 22%). The results of the examination of miR-146a-5pexpression in active TB samples were up regulation with a value of 24,86535, whereas in latent TB samples were down regulation with a value of 0,22727. Active TB and latent TB samples showed a significant comparison in terms of miR-146a-5p expression.

CONCLUSIONS: Based on the research we have done, miR-146a-5p can be used as a biomarker in TB infection.

MeSH terms

  • Humans
  • MicroRNAs
  • Cross-Sectional Studies
  • Female
  • Latent Tuberculosis
  • Male
  • Adult
  • Middle Aged
  • Mycobacterium tuberculosis
  • Biomarkers
  • Young Adult
  • Tuberculosis
  • Diagnosis, Differential
  • ROC Curve