Diagnostic Value of miR-192-5p in the Progression of Chronic Obstructive Pulmonary Disease Complicated with Pulmonary Heart Disease.

Authors

Lina Xiao, Wei Wang, Lingzhi Hu, Hongjie Tao

Published in

International journal of chronic obstructive pulmonary disease. Volume 21. Pages 601328. Epub Jun 23, 2026.

Abstract

The development of chronic obstructive pulmonary disease (COPD) is often accompanied by pulmonary heart disease (PHD). However, PHD lacks effective diagnostic markers in its early stages, making it difficult to detect. miR-192-5p is closely associated with respiratory diseases and may serve as an effective diagnostic biomarker. This study aims to investigate the diagnostic value of miR-192-5p in PHD.
This study included patients with COPD alone (n=120) and those with COPD complicated with PHD (n=140). Serum miR-192-5p levels were detected using RT-qPCR, while TNF-α and IL-6 concentrations were measured via ELISA kits. Hospitalization-related diagnostic indicators were concurrently collected for comparative analysis. The diagnostic value of miR-192-5p was assessed using receiver operating characteristic curve analysis, and risk factors were identified through logistic regression analysis.
miR-192-5p level is significantly downregulated in serum samples from non-PHD and PHD patients. It demonstrates diagnostic performance for PHD with an AUC of 0.789 (78.6% sensitivity, 64.2% specificity) and distinguishes healthy from non-PHD with an AUC of 0.873 (90.0% sensitivity, 70.0% specificity). And its low expression is one of the primary risk factors for PHD development. Further analysis reveals that miR-192-5p levels show a significant negative correlation with inflammatory markers and are closely associated with patients' cardiopulmonary function indicators.
miR-192-5p is significantly downregulated in PHD, and low levels of miR-192-5p represent one of the risk factors for PHD development. It can effectively distinguish between healthy individuals and non-PHD patients, and demonstrating moderate diagnostic accuracy in distinguishing between non-PHD patients and PHD patients, and is expected to become a viable diagnostic biomarker.

PMID:
42371565
Bibliographic data and abstract were imported from PubMed on 29 Jun 2026.

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