Biomarkers of An Autoimmune Skin Disease--Psoriasis

Genomics Proteomics Bioinformatics. 2015 Aug;13(4):224-33. doi: 10.1016/j.gpb.2015.04.002. Epub 2015 Sep 8.

Abstract

Psoriasis is one of the most prevalent autoimmune skin diseases. However, its etiology and pathogenesis are still unclear. Over the last decade, omics-based technologies have been extensively utilized for biomarker discovery. As a result, some promising markers for psoriasis have been identified at the genome, transcriptome, proteome, and metabolome level. These discoveries have provided new insights into the underlying molecular mechanisms and signaling pathways in psoriasis pathogenesis. More importantly, some of these markers may prove useful in the diagnosis of psoriasis and in the prediction of disease progression once they have been validated. In this review, we summarize the most recent findings in psoriasis biomarker discovery. In addition, we will discuss several emerging technologies and their potential for novel biomarker discovery and diagnostics for psoriasis.

Keywords: Biomarker; Genomics; Metabolomics; Proteomics; Psoriasis.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Autoimmune Diseases / diagnosis*
  • Biomarkers / analysis
  • Biomarkers / metabolism
  • Humans
  • Metabolome
  • Proteome / metabolism
  • Psoriasis / diagnosis*
  • Transcriptome

Substances

  • Biomarkers
  • Proteome