Exploration of Values of MiR-7110-5p and MiR-223-3p in Predicting Sepsis

Cell Mol Biol (Noisy-le-grand). 2022 Aug 31;68(8):69-73. doi: 10.14715/cmb/2022.68.8.12.

Abstract

The study aimed to explore the values of micro ribonucleic acid (miR)-7110-5p and miR-223-3p in predicting sepsis secondary to pneumonia. MiRNAmicroarray was utilized to analyze the expression difference of miRNA in patients with pneumonia and sepsis secondary to pneumonia. A total of 50 patients with pneumonia and 42 patients with sepsis secondary to pneumonia were included. Then quantitative polymerase chain reaction (qPCR) was carried out to detect the expression level of circulating miRNAs in patients and analyze its correlations with clinical characteristics and prognosis. 9 miRNAs, namely, hsa-miR-4689-5p, hsa-miR-4621-5p, hsa-miR-6740-5p, hsa-miR-7110-5p, hsa-miR-765, hsa-miR-940,hsa-miR-213-5p, hsa-miR-223-3p and hsa-miR-122, met the screening criteria of fold change ≥2 or <0.5 and p<0.01. The expression levels of miR-4689-5p and miR-4621-3p were different between the two groups of patients, which were up-regulated in the plasma of patients with sepsis secondary to pneumonia. The expression levels of miR-7110-5p and miR-223-3p in patients with pneumonia and sepsis were higher than those in healthy controls. Besides, the area under curve (AUC) of the receiver operating characteristic (ROC) curve of miR-7110-5p for predicting pneumonia and sepsis secondary to pneumonia was 0.78 and 0.863, respectively, while that of miR-223-3p for predicting pneumonia and sepsis secondary to pneumonia was 0.879 and 0.924, respectively. However, there were no significant differences in the levels of miR-7110-5p and miR-223-3p in plasm between survived and dead patients with sepsis. MiR-7110-5p and miR-223-3p can serve as potential biological indicators for predicting sepsis secondary to pneumonia.

MeSH terms

  • Biomarkers
  • Circulating MicroRNA* / genetics
  • Humans
  • MicroRNAs* / metabolism
  • Pneumonia* / genetics
  • ROC Curve
  • Sepsis* / genetics

Substances

  • Biomarkers
  • Circulating MicroRNA
  • MicroRNAs
  • MIRN223 microRNA, human