The British journal of dermatology最新文献

{"title":"Eczema phenotype clustering in inborn errors of immunity with atopy: toward better understanding.","authors":"Thomas Hubiche, Fanny Morice-Picard","doi":"10.1093/bjd/ljag355","DOIUrl":"10.1093/bjd/ljag355","url":null,"abstract":"","PeriodicalId":520789,"journal":{"name":"The British journal of dermatology","volume":" ","pages":"724-725"},"PeriodicalIF":9.6,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148809769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Alternative diagnostic labels for melanoma in situ: a randomized online experiment.","authors":"Katy J L Bell, Zhuohan Wu, Farzaneh Boroumand, Lisa Parker, David Elder, Peter Ferguson, Blake O'Brien, Alexander C J van Akkooi, Adewole S Adamson, Elspeth Davies, Richard A Scolyer, Raymond L Barnhill, Jon Emery, Donald Low, Cynthia Low, Brooke Nickel","doi":"10.1093/bjd/ljag341","DOIUrl":"10.1093/bjd/ljag341","url":null,"abstract":"","PeriodicalId":520789,"journal":{"name":"The British journal of dermatology","volume":" ","pages":"876-878"},"PeriodicalIF":9.6,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148763116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Proteomic profiling reveals a cytokine-chemokine axis involving CXCL10, CD40 and CCL17 in dermatitis herpetiformis pathogenesis and treatment response.","authors":"Yihan Su, Tianyu Wang, Lichen Li, Xiang Fang, Xiaojiao Tu, Jianwen Wang, Yongxia Liu, Yonghu Sun, Furen Zhang","doi":"10.1093/bjd/ljag319","DOIUrl":"10.1093/bjd/ljag319","url":null,"abstract":"","PeriodicalId":520789,"journal":{"name":"The British journal of dermatology","volume":" ","pages":"869-872"},"PeriodicalIF":9.6,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148672047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond the first graft: skin cancer risk and risk stratification in retransplanted solid organ recipients.","authors":"Alessandra Rünger, Alexandra Geusau, Mirjam Nägeli, Carla Ferrándiz-Pulido, Catherine A Harwood, Veronique Del Marmol, Thomas Meyer, Elsemieke Plasmeijer, Charlotte M Proby, Deniz Seçkin, Wiam Al Bouzidi, Matthew J Bottomley, Christoffer Gebhardt, Ulrike Leiter, Glenn Geidel","doi":"10.1093/bjd/ljag286","DOIUrl":"10.1093/bjd/ljag286","url":null,"abstract":"<p><p>Solid organ transplant recipients (SOTRs) face a markedly elevated risk of post-transplant skin cancer, particularly cutaneous squamous cell carcinoma (cSCC). This risk is driven by chronic immunosuppression, including the direct oncogenic effects of some immunosuppressive drugs, and cumulative carcinogenic risk factors including ultraviolet radiation exposure. Retransplanted SOTRs (R-SOTRs) represent a growing yet under-recognized subgroup, carrying additional vulnerability as the second or third transplant will often require more profound immunosuppression. Despite this, no retransplant-specific dermatological surveillance guidelines currently exist. Risk-stratification tools, including the Skin and Ultraviolet Neoplasia Transplant Risk Assessment Calculator, do not incorporate retransplantation status or cumulative immunosuppressive burden. Given the plausibly amplified risk profile of this population, a conceptual framework for skin cancer risk stratification in the context of retransplantation remains an unmet clinical need. To address this, we conducted a narrative review of studies published between January 2000 and February 2026, synthesizing primary studies alongside relevant guidelines and consensus statements. Kidney and heart registry data identify retransplantation as a risk indicator for post-transplant skin cancer outcomes, while the only cohort that reported cutaneous outcomes after retransplantation, comprising highly selected kidney recipients with prior cSCC, demonstrated higher rates of aggressive cSCC after retransplantation. Therefore, we propose a conceptual framework stratifying R-SOTRs into five risk categories according to prior skin cancer history, acknowledging the limited direct evidence currently available: no prior skin cancer, prior single nonaggressive cSCC, prior multiple cSCC, prior histologically aggressive cSCC and prior metastatic cSCC. This framework is intended to support individualized risk assessment and to identify patients likely to warrant closer dermatological follow-up, rather than to prescribe specific surveillance intervals. Prospective studies evaluating the impact of risk-stratified surveillance on skin cancer outcomes in this population are urgently needed.</p>","PeriodicalId":520789,"journal":{"name":"The British journal of dermatology","volume":" ","pages":"726-734"},"PeriodicalIF":9.6,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148451230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Objective and quantitative assessment of facial vitiligo via artificial intelligence-powered three-dimensional analysis for diagnostic support.","authors":"Sena Lee, You Hyun Kim, Younghyun Park, Yerin Lee, Yusung Chu, Jae Joon Jeon, Solam Lee, Sejung Yang","doi":"10.1093/bjd/ljag290","DOIUrl":"10.1093/bjd/ljag290","url":null,"abstract":"<p><strong>Background: </strong>Traditional vitiligo assessment methods rely on subjective evaluation and two-dimensional photographic analysis, limiting consistency and accuracy in clinical practice.</p><p><strong>Objectives: </strong>To develop and validate an artificial intelligence (AI)-assisted, three-dimensional (3D) reconstruction-based system to accurately and objectively quantify facial vitiligo lesions.</p><p><strong>Methods: </strong>In this diagnostic study, standardized three-view clinical facial photographs from patients with facial vitiligo seen at a tertiary referral centre between 2022 and 2024 were retrospectively analysed. After excluding incomplete or poor-quality images, 329 patients were included. A deep learning segmentation model was trained to detect depigmented lesions and applied to 3D reconstructions with surface mapping to assess facial curvature. Performance was compared with manual assessments made by board-certified dermatologists, with and without AI guidance, across two sessions.</p><p><strong>Results: </strong>The AI segmentation model achieved consistently high boundary delineation (F1 score > 0.98) and robust lesion identification accuracy (median Dice similarity coefficient approximately 0.85). When integrated into dermatologists' evaluations, AI assistance markedly reduced mean absolute error in lesion quantification (3.13 vs. 6.71) compared with manual assessment alone. Correlation with reference lesion areas also showed a higher Pearson correlation coefficient (r = 0.92 vs. 0.84), indicating enhanced reliability. Bland-Altman analysis further revealed reduced systematic bias and narrower limits of agreement, supporting the reproducibility of AI-assisted quantification. Collectively, these findings indicate that AI guidance not only improves segmentation performance but also augments the accuracy and consistency of clinical interpretation.</p><p><strong>Conclusions: </strong>This study demonstrates the potential clinical impact of AI-assisted 3D reconstruction. The system provides precise and standardized quantification of facial vitiligo lesions by incorporating surface curvature into lesion mapping. Compared with manual assessments, AI-based support improved diagnostic accuracy, reduced interobserver variability and offered consistent measurements across sessions. These findings highlight the promise of integrating AI-driven 3D tools into routine dermatological practice to enhance patient monitoring and optimize treatment planning.</p>","PeriodicalId":520789,"journal":{"name":"The British journal of dermatology","volume":" ","pages":"830-839"},"PeriodicalIF":9.6,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148521872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Soluble CD83 reverses alopecia areata via indoleamine 2,3-dioxygenase-mediated regulatory T cell activation.","authors":"Sheng Wan, Yujie Li, Xu Liu, Xiuzu Song","doi":"10.1093/bjd/ljag274","DOIUrl":"10.1093/bjd/ljag274","url":null,"abstract":"<p><strong>Background: </strong>The primary cause of alopecia areata (AA) is autoimmune-mediated hair follicle destruction, while breakdown of immune tolerance due to disruption of regulatory T cell (Treg) homeostasis critically contributes to this process. However, the factors leading to impairment of Tregs and the effective regulatory pathways in AA remain unclear.</p><p><strong>Objectives: </strong>To assess the therapeutic effects of soluble CD83 (sCD83) on AA and elucidate the crucial role of sCD83-mediated Treg activation in remodelling the perifollicular microenvironment.</p><p><strong>Methods: </strong>Blood and scalp tissue were collected from patients with AA and healthy control participants to characterize sCD83 using enzyme-linked immunosorbent assay, flow cytometry and immunofluorescence. Using a graft-induced C3H/HeJ mouse model of AA, the therapeutic effect of sCD83 on early-onset AA was evaluated by haematoxylin and eosin staining, immunofluorescence and flow cytometry. In vitro, human hair follicle organ culture and primary outer root sheath keratinocyte (ORSK) culture were used to clarify the impact of sCD83 on the expression and activity of indoleamine 2,3-dioxygenase (IDO) in hair follicles. Co-culture of ORSKs and peripheral blood mononuclear cells, together with administration of an IDO inhibitor to AA mice, were performed to determine the necessity of IDO for Treg activation. Finally, glutathione S-transferase-pulldown and co-immunoprecipitation assays were used to identify potential sCD83 receptors on ORSKs.</p><p><strong>Results: </strong>We showed here that patients with AA exhibit sCD83 deficiency, which may be attributed to reduced sCD83 release from dendritic cells, and that serum sCD83 levels are negatively correlated with disease severity. Supplementation with sCD83 in an AA mouse model reversed disease manifestations and promoted Treg proliferation. Mechanistically, IDO activity in ORSKs is essential for sCD83-mediated Treg activation, with thioredoxin potentially serving as an sCD83 receptor to regulate IDO expression.</p><p><strong>Conclusions: </strong>Our study establishes the functional role of sCD83 in AA, confirms the therapeutic potential of sCD83 supplementation and provides some mechanistic insights.</p>","PeriodicalId":520789,"journal":{"name":"The British journal of dermatology","volume":" ","pages":"806-817"},"PeriodicalIF":9.6,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148383547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Methodological discussion regarding the independent evaluation of a CE-marked AI smartphone application for skin cancer screening.","authors":"Li Wan, Yongfei Hu, Fang Wang","doi":"10.1093/bjd/ljag325","DOIUrl":"10.1093/bjd/ljag325","url":null,"abstract":"","PeriodicalId":520789,"journal":{"name":"The British journal of dermatology","volume":" ","pages":"881-882"},"PeriodicalIF":9.6,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148809768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lifetime risk of cutaneous melanoma in 185 countries: decomposing its difference from cumulative risk into methodological and longevity effects.","authors":"Yongtian Lin, Huiyan Su, Jing Lin, Yu Chen","doi":"10.1093/bjd/ljag336","DOIUrl":"10.1093/bjd/ljag336","url":null,"abstract":"","PeriodicalId":520789,"journal":{"name":"The British journal of dermatology","volume":" ","pages":"874-876"},"PeriodicalIF":9.6,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148763631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cutaneous T-cell lymphoma in the setting of NIPAL4-related nonsyndromic epidermal differentiation disorder: three cases.","authors":"Quitterie Murat de Montai, Emmanuelle Bourrat, Gilles Battesti, Geoffroy Hickman, Pauline Bataille, Snaigune Miskinyte, Asma Smahi, Hélène Moins-Teisserenc, Chloé Grolleau, Smail Hadj-Rabia, Caroline Ram-Wolff, Jean-David Bouaziz, Christine Bodemer, Judith Fischer, Alain Hovnanian, Maxime Battistella, Adèle de Masson, Alizée Bozonnat","doi":"10.1093/bjd/ljag302","DOIUrl":"10.1093/bjd/ljag302","url":null,"abstract":"","PeriodicalId":520789,"journal":{"name":"The British journal of dermatology","volume":" ","pages":"864-866"},"PeriodicalIF":9.6,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148552028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Microbial-targeted shampoo alleviates dandruff by modifying scalp lipids.","authors":"Zhijue Xu, Xiaowei Chang, Yaoyao Wu, Dandan Xia, Fang Yang, Hongrui Li, Baoyu Xiang, Peiwen Sun, Yan Zhang, Menghui Zhang","doi":"10.1093/bjd/ljag285","DOIUrl":"10.1093/bjd/ljag285","url":null,"abstract":"","PeriodicalId":520789,"journal":{"name":"The British journal of dermatology","volume":" ","pages":"861-864"},"PeriodicalIF":9.6,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148883401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}