RETRACTED: Integrated bioinformatic analysis of key biomarkers and signalling pathways in psoriasis

Abstract

Background and Aims Psoriasis is a relatively common autoimmune inflammatory skin disease with a chronic etiology. Since psoriasis is still incurable, it is necessary to identify the molecular mechanisms of psoriasis. The present study was designed to detect novel biomarkers and pathways associated with psoriasis incidence, and provide new insights into treatment of psoriasis. Methods and Results Differentially expressed genes (DEGs) associated with psoriasis in the Gene Expression Omnibus (GEO) database were identified, and their functional roles and interactions were then annotated and evaluated through GO, KEGG, and gene set variation (GSVA) analyses. In total 197 psoriasis-related DEGs were identified and found to primarily be associated with the NOD-like receptor, IL-17, and cytokine-cytokine receptor interaction signalling pathways. GSVA revealed significant differences between normal and lesional groups (P < 0.05), while PPI network analyses identified CXCL10 as the hub gene with the highest degree value, whereas IRF7, IFIT3, OAS1, GBP1, and ISG15 were promising candidate genes for the therapeutic treatment of psoriasis. Conclusion The findings of the present integrated bioinformatics may enhance our understanding of the molecular events occurring in psoriasis, and these candidate genes and pathways together may prove to be therapeutic targets for psoriasis.

Identification of potential crucial genes shared in psoriasis and ulcerative colitis by machine learning and integrated bioinformatics

“…Tang et al. reported that cytokine‐cytokine receptor interaction, viral protein interaction with cytokine and cytokine receptor, IL‐17 signaling pathway and NOD‐like receptor signaling pathway were significantly enriched in psoriasis, 45 which is consistent with our results. Among them, the IL‐17 signaling pathway is considered to be one of the pathways most closely related to the pathogenesis of psoriasis.…”

“…Therefore, these genes may serve as biomarkers for detecting covert UC in psoriasis patients GO and KEGG analyses showed the common DEGs were highly related with immune response, indicating immune response played a pivotal role in the initiation of psoriasis and UC. Tang et al reported that cytokine-cytokine receptor interaction, viral protein interaction with cytokine and cytokine receptor, IL-17 signaling pathway and NOD-like receptor signaling pathway were significantly enriched in psoriasis, 45 which is consistent with our results. Among them, the IL-17 signaling pathway is considered to be one of the pathways most closely related to the pathogenesis of psoriasis.…”

Bioinformatics analysis to reveal the potential comorbidity mechanism in psoriasis and nonalcoholic steatohepatitis

“…OAS1 is a member of OASs (2′−5′oligoadenylate synthetases) family, which also contains OAS2, OAS3, and OASL, being IFN-induced enzymes with multiple antiviral activities. The overexpression of OAS1 in psoriasis and low expression after biologics were revealed in some researches, 34,35 accordant with ours.…”

“…As members of IFIT (IFN‐γ stimulated genes) family, IFIT1 and IFIT3 may act as a regulator of anti‐inflammatory and immune responses 29,30 . In some researches, IFIT1 was identified low expression when interventions were used to suppress nonalcoholic hepatitis, 29,31 and the expression of IFIT1 and IFIT3 was validated as upregulated in psoriasis, 21,32–34 which was consistent with the high expression in both psoriasis and NASH we found. OAS1 is a member of OASs (2′−5′‐oligoadenylate synthetases) family, which also contains OAS2, OAS3, and OASL, being IFN‐induced enzymes with multiple antiviral activities.…”

The emerging roles of IFIT3 in antiviral innate immunity and cellular biology

“…In immune‐related diseases, IFIT3 can be a potential biomarker for pulmonary arterial hypertension‐associated systemic sclerosis 76 . IFIT3 has also been suggested as a potential gene or therapeutic target in myocardial infarction, 77,78 ankylosing spondylitis, 80 psoriasis, 81 atherosclerosis, and potentially other inflammatory diseases 79 . In cancer, IFIT3 may be a biomarker for ESCC 70 .…”