Role of Superantigens in Skin Disease

Superantigens ◽  
2014 ◽  
pp. 137-156
Author(s):  
Sang-Hyun Cho ◽  
Donald Y. M. Leung
Keyword(s):  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Stephan Hailfinger ◽  
Klaus Schulze-Osthoff

Abstract Psoriasis is a frequent autoimmune-related skin disease, which involves various cell types such as T cells, keratinocytes and dendritic cells. Genetic variations, such as mutations of CARD14, can promote the development of the disease. CARD14 mutations as well as the stimulation of immune and cytokine receptors activate the paracaspase MALT1, a potent activator of the transcription factors NF-κB and AP-1. The disease-promoting role of MALT1 for psoriasis is mediated by both its protease activity as well as its molecular scaffold function. Here, we review the importance of MALT1-mediated signaling and its therapeutic implications in psoriasis.


2001 ◽  
Vol 5 (2) ◽  
pp. 140-145 ◽  
Author(s):  
Arash Kimyai-Asadi ◽  
Adil Usman

2017 ◽  
Vol 44 (9) ◽  
pp. 1341-1346 ◽  
Author(s):  
Fabrizio Cantini ◽  
Laura Niccoli ◽  
Carlotta Nannini ◽  
Emanuele Cassarà ◽  
Olga Kaloudi ◽  
...  

Objective.To evaluate the frequency of dactylitis, enthesitis, and anterior uveitis (AU) in spondyloarthritis (SpA) associated with inflammatory bowel disease (IBD-SpA) compared with other SpA, and to assess the role of associated psoriasis in the occurrence of dactylitis and enthesitis.Methods.In a 12-month case-control study, the frequency of dactylitis and enthesitis in 29 patients with ulcerative colitis (UC) and 59 with Crohn disease (CD) who satisfied the Spondyloarthritis international Society criteria for axial or peripheral SpA was compared with 176 controls, including 97 (55.1%) with psoriatic arthritis (PsA), 47 (26.7%) with ankylosing spondylitis (AS), and 32 (18.2%) with nonradiographic axial SpA (nr-axSpA). The occurrence of these features in IBD-SpA with and without psoriasis was also evaluated.Results.Axial, peripheral, or mixed involvement was observed in 46 (52%), 29 (33%), and 13 (15%) patients, respectively; and 14/88 (16%) had psoriasis. Dactylitis was recorded in 4/88 patients (4.5%) with IBD-SpA and in 30 controls (17.4%; p = 0.008), enthesitis in 16 cases (18.1%) and in 78/176 controls (44.3%; p < 0.001), and AU in 3 patients (3.4%) with IBD-SpA and in 26 controls (14.7%; p = 0.01). No significant differences were found between patients with UC-SpA and those with CD-SpA. Dactylitis and enthesitis were significantly more common in patients with IBD-SpA who also had psoriasis compared to those without skin disease (p = 0.009 and 0.003, respectively).Conclusion.Dactylitis, enthesitis, and AU are significantly less frequent in IBD-SpA compared with other types of SpA. Given the frequent association of psoriasis and IBD, overlooking coexistent skin disease may lead to overestimating the frequency of these features.


2016 ◽  
Vol 175 (1) ◽  
pp. 9-10 ◽  
Author(s):  
R.J.G. Chalmers
Keyword(s):  

2018 ◽  
Vol 178 (4) ◽  
pp. 951-957 ◽  
Author(s):  
L.J. Dixon ◽  
S.M. Witcraft ◽  
N.K. McCowan ◽  
R.T. Brodell

2021 ◽  
Vol 7 ◽  
Author(s):  
Liam J. Caffery ◽  
Veronica Rotemberg ◽  
Jochen Weber ◽  
H. Peter Soyer ◽  
Josep Malvehy ◽  
...  

There is optimism that artificial intelligence (AI) will result in positive clinical outcomes, which is driving research and investment in the use of AI for skin disease. At present, AI for skin disease is embedded in research and development and not practiced widely in clinical dermatology. Clinical dermatology is also undergoing a technological transformation in terms of the development and adoption of standards that optimizes the quality use of imaging. Digital Imaging and Communications in Medicine (DICOM) is the international standard for medical imaging. DICOM is a continually evolving standard. There is considerable effort being invested in developing dermatology-specific extensions to the DICOM standard. The ability to encode relevant metadata and afford interoperability with the digital health ecosystem (e.g., image repositories, electronic medical records) has driven the initial impetus in the adoption of DICOM for dermatology. DICOM has a dedicated working group whose role is to develop a mechanism to support AI workflows and encode AI artifacts. DICOM can improve AI workflows by encoding derived objects (e.g., secondary images, visual explainability maps, AI algorithm output) and the efficient curation of multi-institutional datasets for machine learning training, testing, and validation. This can be achieved using DICOM mechanisms such as standardized image formats and metadata, metadata-based image retrieval, and de-identification protocols. DICOM can address several important technological and workflow challenges for the implementation of AI. However, many other technological, ethical, regulatory, medicolegal, and workforce barriers will need to be addressed before DICOM and AI can be used effectively in dermatology.


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