MARATTO

article · Egyptian journal of Immunology

MicroRNA-155 is a potential predictive tool for atopic dermatitis severity in children: A preliminary study

20245 citationsOpen accessZagazig University

Abstract

Atopic dermatitis (AD) is one of the most prevalent chronic inflammatory dermatological disorders in childhood. Assessment of AD severity is the initial step in designing the proper therapeutic plan. Moreover, it is imperative for evaluation of disease improvement during and following therapy. This study was designed to assess the prognostic role of miRNA-155 (miR-155) in the prediction of AD severity as the primary outcome. While the secondary outcome was to correlate the serum miR-155 expression levels with the scoring atopic dermatitis (SCORAD) severity index. This case-control study included 24 children with AD and 24 apparently healthy children as a control group. AD children were stratified according to the SCORAD severity index. Approximately 58% of children had mild AD, 25% moderate AD, and about 17% severe AD. Children with AD had statistically significantly higher miR-155 expression levels in comparison to the control children, (p < 0.001). Children with severe AD had statistically significantly higher miR-155 expression levels compared to mild AD children (p=0.001). The receiver operating characteristic curve analysis for miR-155 demonstrated that miR-155 can differentiate between children with mild AD and those with moderate-to-severe AD, with an area under the curve of 0.879, and an excellent discrimination power. A statistically strong significant positive correlation existed between miR-155 levels and SCORAD severity index (rs= 0.666, p < 0.001). In conclusion, MiR-155 could be considered as a non-invasive biomarker of AD severity in children. It is a promising prognostic tool in the prediction of AD severity.

Research topics

  • Dermatology and Skin Diseases
  • Immune Cell Function and Interaction
  • IL-33, ST2, and ILC Pathways

Sustainable Development Goals

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.55133/eji.310313

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.