All Research Papers Published In Journal of Dermatological Science

Research Article
51
10.1016/j.jdermsci.2023.09.008

Alopecia areata: What’s new in the epidemiology, comorbidities, and pathogenesis?

Oct 11, 2023
Journal of Dermatological Science
Teruki Dainichi + 2 more +2

Front Matter
10.1016/s0923-1811(23)00230-x

Editor's Choice

Oct 01, 2023
Journal of Dermatological Science

Research Article
3
10.1016/j.jdermsci.2023.09.003

Invention of automated numerical algorithm adopting binarization for the evaluation of scalp hair coverage: An image analysis providing a substitute for phototrichogram and global photography assessment for hair diseases

Sep 20, 2023
Journal of Dermatological Science
Masaya Takagi + 8 more +8

Research Article
1
10.1016/j.jdermsci.2023.08.005

Role of androgen signaling in androgen receptor-positive extramammary Paget's disease: Establishment of organoids and their biological analysis as a novel therapeutic target

Aug 29, 2023
Journal of Dermatological Science
Yoshio Nakamura + 12 more +12

Conference Instance
10.1016/j.jdermsci.2023.08.004

ISID 2023: Celebrating the success and impact of international collaboration in dermatological research from JSID’s perspective

Aug 19, 2023
Journal of Dermatological Science
Kenji Kabashima + 3 more +3

Research Article
1
10.1016/j.jdermsci.2023.07.009

Detection of a natural antibody targeting the shed ectodomain of BP180 in mice

Aug 01, 2023
Journal of Dermatological Science
Yosuke Mai + 4 more +4

Research Article
10
10.1016/j.jdermsci.2023.07.008

Eosinophil-derived galectin-10 upregulates matrix metalloproteinase expression in bullous pemphigoid blisters

Aug 01, 2023
Journal of Dermatological Science
Takahiko Sato + 8 more +8

Research Article
24
10.1016/j.jdermsci.2023.07.005

Multi-omics approach identifies PI3 as a biomarker for disease severity and hyper-keratinization in psoriasis

Jul 20, 2023
Journal of dermatological science
Jingwen Deng + 13 more +13

BackgroundPsoriasis is an immune-mediated inflammatory skin disease. Psoriasis severity evaluation is important for clinicians in the assessment of disease severity and subsequent clinical decision making. However, no objective biomarker is available for accurately evaluating disease severity in psoriasis. ObjectiveTo define and compare biomarkers of disease severity and progression in psoriatic skin. MethodsWe performed proteome profiling to study the proteins circulating in the serum from patients with psoriasis, psoriatic arthritis and ankylosing spondylitis, and transcriptome sequencing to investigate the gene expression in skin from the same cohort. We then used machine learning approaches to evaluate different biomarker candidates across several independent cohorts. In order to reveal the cell-type specificity of different biomarkers, we also analyzed a single-cell dataset of skin samples. In-situ staining was applied for the validation of biomarker expression. ResultsWe identified that the peptidase inhibitor 3 (PI3) was significantly correlated with the corresponding local skin gene expression, and was associated with disease severity. We applied machine learning methods to confirm that PI3 was an effective psoriasis classifier, Finally, we validated PI3 as psoriasis biomarker using in-situ staining and public datasets. Single-cell data and in-situ staining indicated that PI3 was specifically highly expressed in keratinocytes from psoriatic lesions. ConclusionOur results suggest that PI3 may be a psoriasis-specific biomarker for disease severity and hyper-keratinization.

Discussion
7
10.1016/j.jdermsci.2023.07.004

WTAP-mediated m6A modification of IFNE is required for antiviral defense in condyloma acuminata

Jul 20, 2023
Journal of Dermatological Science
Zhichao Gu + 8 more +8

Front Matter
10.1016/s0923-1811(23)00138-x

Editorial Board

Jun 01, 2023
Journal of Dermatological Science