Assessment of plasma microRNAs in congenital intestinal malrotation

Mol Med Rep. 2020 Oct;22(4):3289-3298. doi: 10.3892/mmr.2020.11395. Epub 2020 Jul 31.

Abstract

Intestinal malrotation in newborns often requires urgent surgical treatment, especially in the presence of volvulus. Therefore, early‑stage diagnosis is critical. In the present study, differentially expressed plasma microRNAs (miRNAs) were screened for in patients with intestinal malrotation using high‑throughput Illumina sequencing, and validated using reverse transcription‑quantitative PCR. Receiver operating characteristic curve (ROC) analysis was conducted to evaluate their specificity, sensitivity and assess their diagnostic value for intestinal malrotation. Bioinformatics analysis was performed to investigate the functions associated with the dysregulated miRNAs. A profile consisting of 28 differentially expressed plasma miRNAs was obtained, of which nine were verified to exhibit significantly altered expression. According to a ROC analysis, four of these could represent novel early‑stage, non‑invasive biomarkers for intestinal malrotation. Bioinformatics analysis demonstrated that the differentially expressed miRNAs were predominantly involved in 'metal ion transmembrane transporter activity' and 'calcium‑dependent protein binding', which may be related to the 'endocytosis' pathway. In conclusion, significantly differentially expressed plasma miRNAs were identified in congenital intestinal malrotation and their potential roles were described. These differentially expressed miRNAs may serve as biomarkers of intestinal malrotation and improve early diagnosis for this condition.

MeSH terms

  • Biomarkers / blood*
  • Computational Biology
  • Early Diagnosis
  • Female
  • Gene Expression Profiling
  • High-Throughput Nucleotide Sequencing
  • Humans
  • Infant, Newborn
  • Intestinal Volvulus / blood
  • Intestinal Volvulus / congenital*
  • Intestinal Volvulus / diagnosis*
  • Intestinal Volvulus / genetics
  • Male
  • MicroRNAs / blood*
  • Sequence Analysis, RNA

Substances

  • Biomarkers
  • MicroRNAs