Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
Association of partial infections with the risk of psoriasis: A two-sample Mendelian randomization study.
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Lu Minghui, Gao Changyong, Zhang Runtian, Yuan Lingling, Chen Xi, Zhang Boping
Аннотация
BACKGROUND: As a common chronic recurrent inflammatory skin disease, psoriasis is characterized by erythema and scaly skin lesions, with infection as an integral part of the pathogenesis of many diseases. Many previous cases reported the impact of psoriasis on infection. However, the existing research fails to completely clarify the infection factors associated with the potential of these diseases and causality.
MATERIALS AND METHODS: Thirteen kinds of pathogens and their immune responses and psoriasis in the phenotype of 46 species of SNPs data were respectively obtained from the GWAS catalog database and the UK biobank database. With the help of R software, three methods of inverse variance weighted (IVW), weighted median (WME), and MR-Egger regression were used to analyze the causality of the dataset.
RESULTS: According to the results of IVW analysis, there is a causal relationship between anti-Epstein Barr virus antibody and psoriasis (OR: 1.003, 95% CI: 1.001∼1.006, P = 0.046) with a positive correlation.
CONCLUSION: Based on the results of MR analysis, there is a causal relationship between psoriasis and EBV infection, which indicates that EBV infection can increase the risk or severity of psoriasis. Therefore, in clinical scenarios, patients afflicted with psoriasis should be prevented from contracting the infection and recurrence of EBV as well as symptoms of psoriasis. The underlying immunological mechanism also provides a new perspective for experimental research.
MATERIALS AND METHODS: Thirteen kinds of pathogens and their immune responses and psoriasis in the phenotype of 46 species of SNPs data were respectively obtained from the GWAS catalog database and the UK biobank database. With the help of R software, three methods of inverse variance weighted (IVW), weighted median (WME), and MR-Egger regression were used to analyze the causality of the dataset.
RESULTS: According to the results of IVW analysis, there is a causal relationship between anti-Epstein Barr virus antibody and psoriasis (OR: 1.003, 95% CI: 1.001∼1.006, P = 0.046) with a positive correlation.
CONCLUSION: Based on the results of MR analysis, there is a causal relationship between psoriasis and EBV infection, which indicates that EBV infection can increase the risk or severity of psoriasis. Therefore, in clinical scenarios, patients afflicted with psoriasis should be prevented from contracting the infection and recurrence of EBV as well as symptoms of psoriasis. The underlying immunological mechanism also provides a new perspective for experimental research.