miR‑10b‑3p, miR‑8112 and let‑7j as potential biomarkers for autoimmune inner ear diseases

Juhong Zhang1, Na Wang2, Anting Xu2

  • 1Department of Otolaryngology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital South Campus, Shanghai 201499, P.R. China.

Insights

Circulating microRNAs (miRNAs) show promise as biomarkers for autoimmune inner ear disease (AIED). Researchers identified 22 differentially expressed miRNAs, with miR-10b-3p, miR-8112, and let-7j potentially serving as diagnostic markers for AIED.

Area of Science:

  • Biomarkers
  • Genomics
  • Immunology

Background:

  • Circulating microRNAs (miRNAs) are potential non-invasive biomarkers for autoimmune diseases.
  • No prior studies have investigated miRNA expression profiles in autoimmune inner ear disease (AIED).
  • Understanding miRNA dysregulation in AIED is crucial for developing diagnostic tools.

Purpose of the Study:

  • To profile serum miRNA expression in an antigen-induced autoimmune inner ear disease (AIED) mouse model.
  • To identify differentially expressed miRNAs (DE-miRNAs) associated with AIED.
  • To explore the potential diagnostic value of specific miRNAs in AIED.

Main Methods:

  • Serum samples from 3 control and 3 AIED model mice were analyzed using miRNA sequencing.
  • Differentially expressed miRNAs (DE-miRNAs) were identified using a t-test.
  • miRNA target prediction, network construction (Cytoscape), and functional enrichment analysis (clusterProfiler) were performed.

Main Results:

  • Twenty-two DE-miRNAs were identified between AIED and control mice (10 upregulated, 12 downregulated).
  • 1,958 target genes were predicted for the 22 DE-miRNAs.
  • miR-10b-3p, miR-8112, and let-7j were identified as key miRNAs potentially involved in AIED pathogenesis via inflammatory, Wnt signaling, and glycosylation pathways.

Conclusions:

  • The study identified specific miRNA expression profiles in AIED.
  • miR-10b-3p, miR-8112, and let-7j emerged as potential diagnostic biomarkers for AIED.
  • Further validation is warranted to confirm their clinical utility in diagnosing AIED.

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