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Kim EB, Baek YS, Lee O. Parameter-based transfer learning for severity classification of atopic dermatitis using hyperspectral imaging. Skin Res Technol 2024; 30:e13704. [PMID: 38627927 PMCID: PMC11021799 DOI: 10.1111/srt.13704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 04/01/2024] [Indexed: 04/19/2024]
Abstract
BACKGROUND/PURPOSE Because atopic dermatitis (AD) is a chronic inflammatory skin condition that causes structural changes, there is a growing need for noninvasive research methods to evaluate this condition. Hyperspectral imaging (HSI) captures skin structure features by exploiting light wavelength variations in penetration depth. In this study, parameter-based transfer learning was deployed to classify the severity of AD using HSI. Therefore, we aimed to obtain an optimal combination of classification results from the four models after constructing different source- and target-domain datasets. METHODS We designated psoriasis, skin cancer, eczema, and AD datasets as the source datasets, and the set of images acquired via hyperspectral camera as the target dataset for wavelength-specific AD classification. We compared the severity classification performances of 96 combinations of sources, models, and targets. RESULTS The highest classification performance of 83% was achieved when ResNet50 was trained on the augmented psoriasis dataset as the source, with the resulting parameters used to train the model on the target Near-infrared radiation (NIR) dataset. The second highest classification accuracy of 81% was achieved when ResNet50 was trained on the unaugmented psoriasis dataset as the source, with the resulting parameters used to train the model on the target R dataset. ResNet50 demonstrated potential as a generalized model for both the source and target data, also confirming that the psoriasis dataset is an effective training resource. CONCLUSION The present study not only demonstrates the feasibility of the severity classification of AD based on hyperspectral images, but also showcases combinations and research scalability for domain exploration.
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Affiliation(s)
- Eun Bin Kim
- Department of Software Convergence, Graduate SchoolSoonchunhyang UniversityAsan CityChungcheongnam‐doSouth Korea
| | - Yoo Sang Baek
- Department of Dermatology, College of MedicineKorea UniversitySeoulSouth Korea
| | - Onesok Lee
- Department of Software Convergence, Graduate SchoolSoonchunhyang UniversityAsan CityChungcheongnam‐doSouth Korea
- Department of Medical IT Engineering, College of Software ConvergenceSoonchunhyang UniversityAsan CityChungcheongnam‐doSouth Korea
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Al-Janabi A, Alabas OA, Yiu ZZN, Foulkes AC, Eyre S, Khan AR, Reynolds NJ, Smith CH, Griffiths CEM, Warren RB. Risk of Paradoxical Eczema in Patients Receiving Biologics for Psoriasis. JAMA Dermatol 2024; 160:71-79. [PMID: 38055239 PMCID: PMC10701661 DOI: 10.1001/jamadermatol.2023.4846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Accepted: 10/04/2023] [Indexed: 12/07/2023]
Abstract
Importance Biologics used for plaque psoriasis have been reported to be associated with an atopic dermatitis (AD) phenotype, or paradoxical eczema, in some patients. The risk factors for this are unknown. Objective To explore risk of paradoxical eczema by biologic class and identify factors associated with paradoxical eczema. Design, Setting, and Participants This prospective cohort study used data from the British Association of Dermatologists Biologics and Immunomodulators Register for adults treated with biologics for plaque psoriasis who were seen at multicenter dermatology clinics in the UK and Ireland. Included participants were registered and had 1 or more follow-up visits between September 2007 and December 2022. Exposures Duration of exposure to tumor necrosis factor (TNF) inhibitors, interleukin (IL) 17 inhibitors, IL-12/23 inhibitors, or IL-23 inhibitors until paradoxical eczema onset, treatment discontinuation, last follow-up, or death. Main Outcomes and Measures Incidence rates of paradoxical eczema, paradoxical eczema risk by biologic class, and the association of demographic and clinical variables with risk of paradoxical eczema were assessed using propensity score-weighted Cox proportional hazards regression models. Results Of 56 553 drug exposures considered, 24 997 from 13 699 participants were included. The 24 997 included exposures (median age, 46 years [IQR, 36-55 years]; 57% male) accrued a total exposure time of 81 441 patient-years. A total of 273 exposures (1%) were associated with paradoxical eczema. The adjusted incidence rates were 1.22 per 100 000 person-years for IL-17 inhibitors, 0.94 per 100 000 person-years for TNF inhibitors, 0.80 per 100 000 person-years for IL-12/23 inhibitors, and 0.56 per 100 000 person-years for IL-23 inhibitors. Compared with TNF inhibitors, IL-23 inhibitors were associated with a lower risk of paradoxical eczema (hazard ratio [HR], 0.39; 95% CI, 0.19-0.81), and there was no association of IL-17 inhibitors (HR, 1.03; 95% CI, 0.74-1.42) or IL-12/23 inhibitors (HR, 0.87; 95% CI, 0.66-1.16) with risk of paradoxical eczema. Increasing age (HR, 1.02 per year; 95% CI, 1.01-1.03) and history of AD (HR, 12.40; 95% CI, 6.97-22.06) or hay fever (HR, 3.78; 95% CI, 1.49-9.53) were associated with higher risk of paradoxical eczema. There was a lower risk in males (HR, 0.60; 95% CI, 0.45-0.78). Conclusions and Relevance In this study, in biologic-treated patients with psoriasis, paradoxical eczema risk was lowest in patients receiving IL-23 inhibitors. Increasing age, female sex, and history of AD or hay fever were associated with higher risk of paradoxical eczema. The overall incidence of paradoxical eczema was low. Further study is needed to replicate these findings.
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Affiliation(s)
- Ali Al-Janabi
- Division of Musculoskeletal and Dermatological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
- Dermatology Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, Manchester, United Kingdom
| | - Oras A. Alabas
- Centre for Dermatology Research, NIHR Manchester Biomedical Research Centre, University of Manchester, Manchester, United Kingdom
| | - Zenas Z. N. Yiu
- Division of Musculoskeletal and Dermatological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
- Dermatology Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, Manchester, United Kingdom
| | - Amy C. Foulkes
- Division of Musculoskeletal and Dermatological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
- Dermatology Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, Manchester, United Kingdom
| | - Steve Eyre
- Division of Musculoskeletal and Dermatological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, The University of Manchester, Manchester, United Kingdom
| | | | - Nick J. Reynolds
- Institute of Translational and Clinical Medicine, Royal Victoria Infirmary and NIHR Newcastle Biomedical Research Centre, Department of Dermatology, Medical School, University of Newcastle, Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom
| | - Catherine H. Smith
- St John’s Institute of Dermatology, School of Basic and Medical Biosciences, Faculty of Life Sciences and Medicine, King’s College London, London, United Kingdom
- St John’s Institute of Dermatology, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Christopher E. M. Griffiths
- Division of Musculoskeletal and Dermatological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
- Dermatology Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, Manchester, United Kingdom
| | - Richard B. Warren
- Division of Musculoskeletal and Dermatological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
- Dermatology Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, Manchester, United Kingdom
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3
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Müller S, Welchowski T, Schmid M, Maintz L, Herrmann N, Wilsmann-Theis D, Royeck T, Havenith R, Bieber T. Development of a clinical algorithm to predict phenotypic switches between atopic dermatitis and psoriasis (the "Flip-Flop" phenomenon). Allergy 2024; 79:164-173. [PMID: 37864390 DOI: 10.1111/all.15921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 09/17/2023] [Accepted: 10/10/2023] [Indexed: 10/22/2023]
Abstract
BACKGROUND Atopic dermatitis (AD) and psoriasis vulgaris (PV) are almost mutually exclusive diseases with different immune polarizations, mechanisms and therapeutic targets. Switches to the other disease ("Flip-Flop" [FF] phenomenon) can occur with or without systemic treatment and are often referred to as paradoxical reactions under biological therapy. METHODS The objective was to develop a diagnostic algorithm by combining clinical criteria of AD and PV to identify FF patients. The algorithm was prospectively validated in patients enrolled in the CK-CARE registry in Bonn, Germany. Afterward, algorithm refinements were implemented based on machine learning. RESULTS Three hundred adult Caucasian patients were included in the validation study (n = 238 with AD, n = 49 with PV, n = 13 with FF; mean age 41.2 years; n = 161 [53.7%] female). The total FF scores of the PV and AD groups differed significantly from the FF group in the validation data (p < .001). The predictive mean generalized Youden-Index of the initial model was 78.9% [95% confidence interval 72.0%-85.6%] and the accuracy was 89.7%. Disease group-specific sensitivity was 100% (FF), 95.0% (AD), and 61.2% (PV). The specificity was 89.2% (FF), 100% (AD), and 100% (PV), respectively. CONCLUSION The FF algorithm represents the first validated tool to identify FF patients.
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Affiliation(s)
- Svenja Müller
- Department of Dermatology and Allergy, University Hospital Bonn, Bonn, Germany
- Christine Kühne-Center for Allergy Research and Education Davos (CK-CARE), Davos, Switzerland
| | - Thomas Welchowski
- Christine Kühne-Center for Allergy Research and Education Davos (CK-CARE), Davos, Switzerland
- Department of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Matthias Schmid
- Department of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Laura Maintz
- Department of Dermatology and Allergy, University Hospital Bonn, Bonn, Germany
- Christine Kühne-Center for Allergy Research and Education Davos (CK-CARE), Davos, Switzerland
| | - Nadine Herrmann
- Department of Dermatology and Allergy, University Hospital Bonn, Bonn, Germany
- Christine Kühne-Center for Allergy Research and Education Davos (CK-CARE), Davos, Switzerland
| | | | - Thorben Royeck
- Department of Dermatology and Allergy, University Hospital Bonn, Bonn, Germany
| | - Regina Havenith
- Department of Dermatology and Allergy, University Hospital Bonn, Bonn, Germany
- Christine Kühne-Center for Allergy Research and Education Davos (CK-CARE), Davos, Switzerland
| | - Thomas Bieber
- Department of Dermatology and Allergy, University Hospital Bonn, Bonn, Germany
- Christine Kühne-Center for Allergy Research and Education Davos (CK-CARE), Davos, Switzerland
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4
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Al-Janabi A, Martin P, Khan AR, Foulkes AC, Smith CH, Griffiths CEM, Morris AP, Eyre S, Warren RB. Integrated proteomics and genomics analysis of paradoxical eczema in psoriasis patients treated with biologics. J Allergy Clin Immunol 2023; 152:1237-1246. [PMID: 37536512 DOI: 10.1016/j.jaci.2023.07.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 07/10/2023] [Accepted: 07/21/2023] [Indexed: 08/05/2023]
Abstract
BACKGROUND Few studies have explored the immunology and genetic risk of paradoxical eczema occurring as an adverse event of biologic therapy in patients with psoriasis. OBJECTIVES We sought to describe the systemic inflammatory signature of paradoxical eczema using proteomics and explore whether this is genetically mediated. METHODS This study used the Olink Target 96 Inflammation panel on 256 serum samples from 71 patients with psoriasis and paradoxical eczema, and 75 controls with psoriasis to identify differentially expressed proteins and enriched gene sets. Case samples from 1 or more time points (T1 prebiologic, T2 postbiologic, and T3 postparadoxical eczema) were matched 1:1 with control samples. Genes contributing to enriched gene sets were selected, and functional single nucleotide polymorphisms used to create polygenic risk scores in a genotyped cohort of 88 paradoxical eczema cases and 3124 psoriasis controls. RESULTS STAMBP expression was lower in cases at T1 than in controls (log-fold change: -0.44; adjusted P = .022); no other proteins reached statistical significance at equivalent time points. Eleven gene sets including cytokine and chemokine pathways were enriched in cases at T2 and 10 at T3. Of the 39 proteins contributing to enriched gene sets, the majority are associated with the atopic dermatitis serum proteome. A polygenic risk score including 38 functional single nucleotide polymorphisms linked to enriched gene sets was associated with paradoxical eczema (adjusted P = .046). CONCLUSIONS The paradoxical eczema systemic inflammatory proteome trends toward atopic dermatitis at a gene-set level and is detectable before onset of the phenotype. This signature could be genetically determined.
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Affiliation(s)
- Ali Al-Janabi
- Centre for Dermatology Research, Northern Care Alliance NHS Foundation Trust, The University of Manchester, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research Centre, Manchester, United Kingdom.
| | - Paul Martin
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, University of Manchester, Manchester, United Kingdom; The Lydia Becker Institute of Immunology and Inflammation, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | | | - Amy C Foulkes
- Centre for Dermatology Research, Northern Care Alliance NHS Foundation Trust, The University of Manchester, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research Centre, Manchester, United Kingdom
| | - Catherine H Smith
- St John's Institute of Dermatology, School of Basic and Medical Biosciences, Faculty of Life Sciences and Medicine, King's College London, United Kingdom; St. John's Institute of Dermatology, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom
| | - Christopher E M Griffiths
- Centre for Dermatology Research, Northern Care Alliance NHS Foundation Trust, The University of Manchester, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research Centre, Manchester, United Kingdom
| | - Andrew P Morris
- Centre for Dermatology Research, Northern Care Alliance NHS Foundation Trust, The University of Manchester, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research Centre, Manchester, United Kingdom; Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, University of Manchester, Manchester, United Kingdom
| | - Steve Eyre
- Centre for Dermatology Research, Northern Care Alliance NHS Foundation Trust, The University of Manchester, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research Centre, Manchester, United Kingdom; Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, University of Manchester, Manchester, United Kingdom
| | - Richard B Warren
- Centre for Dermatology Research, Northern Care Alliance NHS Foundation Trust, The University of Manchester, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research Centre, Manchester, United Kingdom
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5
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Al-Janabi A, Eyre S, Foulkes AC, Khan AR, Dand N, Burova E, DeSilva B, Makrygeorgou A, Davies E, Smith CH, Griffiths CEM, Morris AP, Warren RB. Atopic Polygenic Risk Score Is Associated with Paradoxical Eczema Developing in Patients with Psoriasis Treated with Biologics. J Invest Dermatol 2023; 143:1470-1478.e1. [PMID: 36804406 DOI: 10.1016/j.jid.2023.01.021] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 01/04/2023] [Accepted: 01/05/2023] [Indexed: 02/17/2023]
Abstract
Biologic therapies for psoriasis can cause paradoxical eczema. The role of genetic factors in its pathogenesis is unknown. To identify risk variants, we conducted a GWAS of 3,212 patients with psoriasis, of whom 88 developed paradoxical eczema. Two lead SNPs reached genome-wide significance (P ≤ 5 × 10-8) for association with paradoxical eczema: rs192705221 (near UNC5B, P = 9.52 × 10-10) and rs72925168 (within SLC1A2, P = 1.66 × 10-9). Genome-wide significant SNPs from published GWAS were used to generate polygenic risk scores (PRSs) for atopic eczema, general atopic disease, or a combination, which were tested for association with paradoxical eczema. Improvement over a clinical risk model was assessed by the area under the curve. All three atopy polygenic risk scores were associated with paradoxical eczema (P < 0.05); polygenic risk score for a combination of atopic eczema and general atopic disease had the strongest association (OR = 1.83, 95% CI = 1.17-2.84, P = 0.0078). Including atopic polygenic risk scores in the multivariable model, which included age, sex, atopic background, and psoriatic arthritis history, increased the area under the curve from 0.671 to 0.681-0.686. Atopic genetic burden is associated with paradoxical eczema occurring in biologic-treated patients with psoriasis, indicating shared underlying mechanisms. Incorporating genetic risk may improve treatment outcome prediction models for psoriasis.
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Affiliation(s)
- Ali Al-Janabi
- Centre for Dermatology Research, Salford Royal NHS Foundation Trust, NIHR Manchester Biomedical Research Centre, The University of Manchester, Manchester, United Kingdom.
| | - Steve Eyre
- Centre for Dermatology Research, Salford Royal NHS Foundation Trust, NIHR Manchester Biomedical Research Centre, The University of Manchester, Manchester, United Kingdom; Centre for Genetics & Genomics Versus Arthritis, The University of Manchester, Manchester, United Kingdom; Centre for Musculoskeletal Research, The University of Manchester, Manchester, United Kingdom
| | - Amy C Foulkes
- Centre for Dermatology Research, Salford Royal NHS Foundation Trust, NIHR Manchester Biomedical Research Centre, The University of Manchester, Manchester, United Kingdom
| | | | - Nick Dand
- Department of Medical & Molecular Genetics, Faculty of Life Sciences and Medicine, School of Basic & Medical Biosciences, King's College London, London, United Kingdom
| | - Ekaterina Burova
- Dermatology, Bedfordshire Hospitals NHS Trust, Bedford, United Kingdom
| | - Bernadette DeSilva
- Department of Dermatology, Luton and Dunstable University Hospital, Luton, United Kingdom
| | - Areti Makrygeorgou
- Dermatology Department, West Ambulatory Care Hospital, Glasgow, United Kingdom
| | - Emily Davies
- Department of Dermatology, Gloucester Royal Hospital, Gloucester, United Kingdom
| | - Catherine H Smith
- St. John's Institute of Dermatology, Faculty of Life Sciences and Medicine, School of Basic and Medical Biosciences, King's College London, London, United Kingdom; St. John's Institute of Dermatology, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
| | - Christopher E M Griffiths
- Centre for Dermatology Research, Salford Royal NHS Foundation Trust, NIHR Manchester Biomedical Research Centre, The University of Manchester, Manchester, United Kingdom
| | - Andrew P Morris
- Centre for Genetics & Genomics Versus Arthritis, The University of Manchester, Manchester, United Kingdom; Centre for Musculoskeletal Research, The University of Manchester, Manchester, United Kingdom
| | - Richard B Warren
- Centre for Dermatology Research, Salford Royal NHS Foundation Trust, NIHR Manchester Biomedical Research Centre, The University of Manchester, Manchester, United Kingdom
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6
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Li Y, Liu H, Zhang F. Biologics-Induced Immunophenotypic Cross-Switching in Patients with Psoriasis and Atopic Dermatitis. Indian J Dermatol 2023; 68:186-191. [PMID: 37275804 PMCID: PMC10238968 DOI: 10.4103/ijd.ijd_871_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2023] Open
Abstract
Antibody-based therapies that inhibit pro-inflammatory cytokine signalling are commonly used in dermatology. Paradoxically, these biological agents may induce or exacerbate paradoxical reactions. Recently, it has been reported that the treatment of eczema with dupilumab can lead to the development of psoriasiform eruptions, which we called psoriasiform paradoxical reactions (P-PRs). Conversely, cases of eczematous paradoxical reactions (E-PRs) have also been described in patients with psoriasis treated with biologics. To summarise the case characteristics and disease features of phenotypic transition between psoriasis and eczematoid dermatitis, and to explore the mechanism or connection related to biological agents or patients' genetic characteristics, a systematic review was conducted for P-PRs in atopic dermatitis and E-PRs in patients with psoriasis treated with corresponding biological agents, respectively. We identified a series of P-PRs in 42 atopic dermatitis cases treated with dupilumab. The time to onset of P-PRs typically ranged from weeks to months, with a mean latency period of 22.65 weeks. Almost all patients presented with new-onset P-PRs. Simultaneously, we reviewed 22 articles reporting 51 patients with psoriasis with biological agent-induced E-PRs, which occurred on average at 24.47 weeks, 72.55% of them induced by IL-17A inhibitors. 48.98% (24/49) of cases reported a positive personal history of atopy, which may suggest an increased risk of biological agent-induced paradoxical eruptions. Overall, the improvement or resolution upon discontinuation of the inciting biologics was relatively common, and further studies are needed to estimate the real prevalence and unveil the pathophysiological mechanisms of these paradoxical events.
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Affiliation(s)
- Yanyan Li
- From the Shandong Provincial Hospital for Skin Diseases and Shandong Provincial Institute of Dermatology and Venereology, Jinan, Shandong, China
- Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Hong Liu
- From the Shandong Provincial Hospital for Skin Diseases and Shandong Provincial Institute of Dermatology and Venereology, Jinan, Shandong, China
- Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Furen Zhang
- From the Shandong Provincial Hospital for Skin Diseases and Shandong Provincial Institute of Dermatology and Venereology, Jinan, Shandong, China
- Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
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7
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Al-Janabi A, Foulkes AC, Griffiths CEM, Warren RB. Paradoxical eczema in psoriasis patients receiving biologics: a case series. Clin Exp Dermatol 2022; 47:1174-1178. [PMID: 35150003 PMCID: PMC9310746 DOI: 10.1111/ced.15130] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Revised: 02/04/2022] [Accepted: 02/07/2022] [Indexed: 12/01/2022]
Abstract
Atopic eczema and psoriasis are chronic, inflammatory dermatoses that can significantly affect the quality of life of those affected. Although both diseases are common, they rarely occur together. Severe psoriasis can be treated with biologic therapies targeting specific cytokine pathways involved in disease pathogenesis. There are reports of paradoxical eczema developing in biologic-treated psoriasis patients, sometimes necessitating treatment discontinuation leading to poor disease control. This retrospective case series identified 36 such events occurring in 23 patients. All currently-available biologic classes were implicated. Eosinophilia (n=19) and elevated serum immunoglobulin-E (n=3) were identified in some cases. Treatment strategies included no treatment, topical corticosteroids, broad-acting systemic agents and discontinuation or switch of biologic therapy. Two patients had persistent eczema and psoriasis despite discontinuation of all biologic therapies.
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Affiliation(s)
- Ali Al-Janabi
- The Dermatology Centre, Salford Royal NHS Foundation Trust, Manchester NIHR Biomedical Research Centre, Manchester Academic Health Science Centre, The University of Manchester, M6 8HD, UK
| | - Amy C Foulkes
- The Dermatology Centre, Salford Royal NHS Foundation Trust, Manchester NIHR Biomedical Research Centre, Manchester Academic Health Science Centre, The University of Manchester, M6 8HD, UK
| | - Christopher E M Griffiths
- The Dermatology Centre, Salford Royal NHS Foundation Trust, Manchester NIHR Biomedical Research Centre, Manchester Academic Health Science Centre, The University of Manchester, M6 8HD, UK
| | - Richard B Warren
- The Dermatology Centre, Salford Royal NHS Foundation Trust, Manchester NIHR Biomedical Research Centre, Manchester Academic Health Science Centre, The University of Manchester, M6 8HD, UK
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8
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Chicharro P, Rodríguez-Jiménez P, De la Fuente H, Fraga-Fernández J, Cibrian D, Sánchez-Madrid F, Daudén E. Mixed profile of cytokines in paradoxical eczematous eruptions associated with anti-IL-17 therapy. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY-IN PRACTICE 2020; 8:3619-3621.e1. [PMID: 32693213 DOI: 10.1016/j.jaip.2020.06.064] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2020] [Revised: 06/24/2020] [Accepted: 06/30/2020] [Indexed: 12/30/2022]
Affiliation(s)
- Pablo Chicharro
- Department of Dermatology, Instituto de Investigación Sanitaria La Princesa (IIS-IP), Hospital Universitario de La Princesa, Madrid, Spain.
| | - Pedro Rodríguez-Jiménez
- Department of Dermatology, Instituto de Investigación Sanitaria La Princesa (IIS-IP), Hospital Universitario de La Princesa, Madrid, Spain
| | - Hortensia De la Fuente
- Department of Immunology, Instituto de Investigación Sanitaria La Princesa (IIS-IP), Hospital Universitario de La Princesa, Madrid, Spain; CIBER Cardiovascular (Center for Biomedical Research, Cardiovascular Diseases), Instituto de Salud Carlos III, Madrid, Spain
| | | | - Danay Cibrian
- Department of Immunology, Instituto de Investigación Sanitaria La Princesa (IIS-IP), Hospital Universitario de La Princesa, Madrid, Spain; CIBER Cardiovascular (Center for Biomedical Research, Cardiovascular Diseases), Instituto de Salud Carlos III, Madrid, Spain
| | - Francisco Sánchez-Madrid
- Department of Immunology, Instituto de Investigación Sanitaria La Princesa (IIS-IP), Hospital Universitario de La Princesa, Madrid, Spain; CIBER Cardiovascular (Center for Biomedical Research, Cardiovascular Diseases), Instituto de Salud Carlos III, Madrid, Spain
| | - Esteban Daudén
- Department of Dermatology, Instituto de Investigación Sanitaria La Princesa (IIS-IP), Hospital Universitario de La Princesa, Madrid, Spain
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9
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Al-Janabi A, Foulkes AC, Mason K, Smith CH, Griffiths CEM, Warren RB. Phenotypic switch to eczema in patients receiving biologics for plaque psoriasis: a systematic review. J Eur Acad Dermatol Venereol 2020; 34:1440-1448. [PMID: 31997406 DOI: 10.1111/jdv.16246] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Accepted: 01/22/2020] [Indexed: 12/14/2022]
Abstract
The use of biologic therapies for the treatment of chronic plaque psoriasis has been linked to the development of atopic eczema, amongst other cutaneous adverse events. This can cause diagnostic confusion and create difficulty in the management of patients with plaque psoriasis. The main objective of this systematic review was to review all cases of eczema, including atopic eczema, reported in patients treated with biologics for chronic plaque psoriasis. PubMed, Medline and Embase databases were used to identify studies reporting eczema in patients treated with biologic therapy for chronic plaque psoriasis. A total of 92 patients were identified from 24 studies, with patients treated with either: adalimumab; etanercept; infliximab; ixekizumab; secukinumab; or ustekinumab. Factors common to some reported cases include: a prior history of atopy; eosinophilia; raised serum immunoglobulin E. Twenty-three had documented treatment outcomes; 14 had biologic therapy discontinued or switched. Management strategies included topical or oral corticosteroids, and treatment with alternative systemic agents such as ciclosporin or apremilast. This adverse event occurred in 1.0-12.1% of patients within trial data and observational studies. This review demonstrates that there are consistent reports of a switch to an atopic eczema phenotype from psoriasis in patients taking biologics inhibiting tumour necrosis factor alpha and the interleukin (IL)-17/IL-23 axis. The majority stopped the implicated biologic, but conservative management was successful in some cases. Those with an atopic diathesis may be more at risk. Elucidation of mechanisms and risk factors would contribute to optimal therapy selection for individual patients.
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Affiliation(s)
- A Al-Janabi
- The Dermatology Centre, Salford Royal NHS Foundation Trust, Manchester NIHR Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester, UK.,Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - A C Foulkes
- The Dermatology Centre, Salford Royal NHS Foundation Trust, Manchester NIHR Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester, UK.,Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - K Mason
- Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - C H Smith
- St John's Institute of Dermatology, School of Basic and Medical Biosciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.,St. John's Institute of Dermatology, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - C E M Griffiths
- The Dermatology Centre, Salford Royal NHS Foundation Trust, Manchester NIHR Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester, UK.,Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - R B Warren
- The Dermatology Centre, Salford Royal NHS Foundation Trust, Manchester NIHR Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester, UK.,Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
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10
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Ryu S, Broussard L, Youn C, Song B, Norris D, Armstrong CA, Kim B, Song PI. Therapeutic Effects of Synthetic Antimicrobial Peptides, TRAIL and NRP1 Blocking Peptides in Psoriatic Keratinocytes. Chonnam Med J 2019; 55:75-85. [PMID: 31161119 PMCID: PMC6536438 DOI: 10.4068/cmj.2019.55.2.75] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2019] [Revised: 05/01/2019] [Accepted: 05/03/2019] [Indexed: 12/27/2022] Open
Abstract
Psoriasis is a chronic, recurrent, heterogeneous, cutaneous inflammatory skin disease for which there is no cure. It affects approximately 7.5 million people in the United States. Currently, several biologic agents that target different molecules implicated in the pathogenic processes of psoriasis are being assessed in diverse clinical studies. However, relapse usually occurs within weeks or months, meaning there is currently no cure for psoriasis. Therefore, recent studies have discovered diverse new potential treatments for psoriasis: inhibitors of bacteria such as Staphylococcus aureus, tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) and neuropilin 1 (NRP1). A promising approach that has recently been described involves modifying antimicrobial peptides to develop new cutaneous anti-bacterial agents that target inflammatory skin disease induced by Staphylococcus. Increased expression of TRAIL and its death receptors DR4 and DR5 has been implicated in the pathogenesis of plaque psoriasis. In addition, TRAIL has the ability to inhibit angiogenesis by inducing endothelial cell death and by negative regulation of VEGF-induced angiogenesis via caspase-8-mediated enzymatic and non-enzymatic functions. Since NRP1 regulates angiogenesis induced by multiple signals, including VEGF, ECM and semaphorins, and also initiates proliferation of keratinocytes through NF-κB signaling pathway in involved psoriatic skin, targeting NRP1 pathways may offer numerous windows for intervention in psoriasis. In this review, we will focus on the current knowledge about the emerging role of synthetic antimicrobial peptides, TRAIL and NRP1 blocking peptides in the pathogenesis and treatment of psoriasis.
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Affiliation(s)
- Sunhyo Ryu
- Department of Dermatology, University of Colorado Denver School of Medicine, Aurora, CO, USA
| | - Lindsey Broussard
- Department of Dermatology, University of Colorado Denver School of Medicine, Aurora, CO, USA
| | - Chakyung Youn
- Department of Biomedical Science and Research Center for Proteinaceous Materials, Chosun University School of Medicine, Gwangju, Korea
| | - Brendon Song
- Department of Biology, University of Denver, Denver, CO, USA
| | - David Norris
- Department of Dermatology, University of Colorado Denver School of Medicine, Aurora, CO, USA
| | - Cheryl A Armstrong
- Department of Dermatology, University of Colorado Denver School of Medicine, Aurora, CO, USA
| | - Beomjoon Kim
- Department of Dermatology, Chung-Ang University School of Medicine, Seoul, Korea
| | - Peter I Song
- Department of Dermatology, University of Colorado Denver School of Medicine, Aurora, CO, USA
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