Biomarkers of an Autoimmune Skin Disease—Psoriasis
Author(s) -
Shan Jiang,
Taylor E. Hinchliffe,
Tianfu Wu
Publication year - 2015
Publication title -
genomics proteomics and bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.114
H-Index - 49
eISSN - 2210-3244
pISSN - 1672-0229
DOI - 10.1016/j.gpb.2015.04.002
Subject(s) - psoriasis , metabolome , biomarker discovery , disease , biomarker , transcriptome , computational biology , proteome , pathogenesis , omics , biology , bioinformatics , medicine , immunology , proteomics , metabolomics , genetics , pathology , gene , gene expression
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.
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