Circulating miR-let7a levels predict future diagnosis of chronic thromboembolic pulmonary hypertension

Sci Rep. 2024 Feb 24;14(1):4514. doi: 10.1038/s41598-024-55223-1.

Abstract

Distinct patterns of circulating microRNAs (miRNAs) were found to be involved in misguided thrombus resolution. Thus, we aimed to investigate dysregulated miRNA signatures during the acute phase of pulmonary embolism (PE) and test their diagnostic and predictive value for future diagnosis of chronic thromboembolic pulmonary hypertension (CTEPH). Microarray screening and subsequent validation in a large patient cohort (n = 177) identified three dysregulated miRNAs as potential biomarkers: circulating miR-29a and miR-720 were significantly upregulated and miR-let7a was significantly downregulated in plasma of patients with PE. In a second validation study equal expression patterns for miR-29a and miR-let7a regarding an acute event of recurrent venous thromboembolism (VTE) or deaths were found. MiR-let7a concentrations significantly correlated with echocardiographic and laboratory parameters indicating right ventricular (RV) dysfunction. Additionally, circulating miR-let7a levels were associated with diagnosis of CTEPH during follow-up. Regarding CTEPH diagnosis, ROC analysis illustrated an AUC of 0.767 (95% CI 0.54-0.99) for miR-let7a. Using logistic regression analysis, a calculated patient-cohort optimized miR-let7a cut-off value derived from ROC analysis of ≥ 11.92 was associated with a 12.8-fold increased risk for CTEPH. Therefore, miR-let7a might serve as a novel biomarker to identify patients with haemodynamic impairment and as a novel predictor for patients at risk for CTEPH.

MeSH terms

  • Biomarkers
  • Chronic Disease
  • Echocardiography / adverse effects
  • Humans
  • Hypertension, Pulmonary* / complications
  • Hypertension, Pulmonary* / diagnosis
  • Hypertension, Pulmonary* / genetics
  • MicroRNAs* / genetics
  • Pulmonary Embolism* / diagnosis
  • Pulmonary Embolism* / genetics
  • Venous Thromboembolism* / complications

Substances

  • MicroRNAs
  • Biomarkers