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Diagnostic predictability of serum miR-4793-3p and miR-1180-3p expression in community-acquired pneumonia

Rong Chai1, Cihang Zhou2, Zhenli Hu1

  • 1Department of Respiratory & Critical Care Medicine, Changhai Hospital, Navy Military Medical University, No. 168 Changhai RD, Yangpu District, Shanghai, P.R. China.

Biomarkers in Medicine
|March 8, 2024
PubMed

Insights

Early detection of severe community-acquired pneumonia (CAP) is possible using plasma microRNAs (miRNAs). Two specific miRNAs, miR-4793-3p and miR-1180-3p, can predict severe CAP progression, improving patient outcomes.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Clinical Medicine

Background:

  • Community-acquired pneumonia (CAP) requires early identification to prevent severe outcomes.
  • Accurate prediction of CAP severity is essential for timely and effective therapeutic interventions.

Purpose of the Study:

  • To identify novel biomarkers for early prediction of severe CAP.
  • To develop a predictive model for distinguishing mild from severe CAP cases.

Main Methods:

  • Plasma miRNA profiling using microarray detection in 150 hospitalized CAP patients.
  • Quantitative PCR validation of selected miRNAs (miR-4793-3p and miR-1180-3p).
  • Development of predictive models using least shrinkage and selection operator (LASSO) regression.

Main Results:

  • LASSO regression identified miR-4793-3p and miR-1180-3p as key predictors of CAP severity (AUC = 0.948).
  • The miRNA-based model demonstrated superior predictive performance compared to established biomarkers like D-dimer, platelets, and procalcitonin (max AUC = 0.729).

Conclusions:

  • Elevated plasma levels of miR-4793-3p and miR-1180-3p are associated with severe CAP development.
  • Plasma miRNA profiling offers a promising non-invasive method for early prediction of severe CAP, guiding clinical management and treatment decisions.

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