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Journal Article Ppublish 1 citation

PubMed: 38456294 DOI: 10.2217/bmm-2023-0463

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

Biomark Med 18(6):231-241

Authors: Rong Chai, Cihang Zhou, Zhenli Hu, Jingjing Hu

Affiliations

  • Department of Respiratory & Critical Care Medicine, Changhai Hospital, Navy Military Medical University, No. 168 Changhai RD, Yangpu District, Shanghai, P.R. China.
  • Department of General Practice Teaching & Research Office, Changhai Hospital, Navy Military Medical University, No. 168 Changhai RD, Yangpu District, Shanghai, P.R. China.
  • Department of Clinical Laboratory, Changhai Hospital, Navy Military Medical University, No. 168 Changhai RD, Yangpu District, Shanghai, P.R. China.

Abstract

Early identification of community-acquired pneumonia (CAP) is crucial to prevent severe progression. The authors enrolled 150 hospitalized CAP patients and collected clinicopathologic features and blood indicators. Plasma miRNA profiling was conducted using microarray detection, and selected miRNAs were tested with reverse transcription quantitative PCR. Predictive models were built using least shrinkage and selection operator regression. Least shrinkage and selection operator regression identified two miRNAs (miR-4793-3p and miR-1180-3p) that distinguished mild from severe CAP patients (area under the curve = 0.948). The miRNA model outperformed D-dimer, platelet and procalcitonin (max area under the curve = 0.729). Increased levels of miR-4793-3p and miR-1180-3p may indicate severe pneumonia development. Plasma miRNA profiling enables early prediction of severe CAP, aiding therapeutic decisions.

MeSH

Serum, Micrornas, Biomarkers, Pneumonia, Community-Acquired Pneumonia

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