{"title":"Association of partial infections with the risk of psoriasis: A two-sample Mendelian randomization study.","authors":"Minghui Lu, Changyong Gao, Runtian Zhang, Lingling Yuan, Xi Chen, Boping Zhang","doi":"10.1111/srt.70002","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Materials and methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":21746,"journal":{"name":"Skin Research and Technology","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11337910/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Skin Research and Technology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/srt.70002","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"DERMATOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍:
Skin Research and Technology is a clinically-oriented journal on biophysical methods and imaging techniques and how they are used in dermatology, cosmetology and plastic surgery for noninvasive quantification of skin structure and functions. Papers are invited on the development and validation of methods and their application in the characterization of diseased, abnormal and normal skin.
Topics include blood flow, colorimetry, thermography, evaporimetry, epidermal humidity, desquamation, profilometry, skin mechanics, epiluminiscence microscopy, high-frequency ultrasonography, confocal microscopy, digital imaging, image analysis and computerized evaluation and magnetic resonance. Noninvasive biochemical methods (such as lipids, keratin and tissue water) and the instrumental evaluation of cytological and histological samples are also covered.
The journal has a wide scope and aims to link scientists, clinical researchers and technicians through original articles, communications, editorials and commentaries, letters, reviews, announcements and news. Contributions should be clear, experimentally sound and novel.