Transcriptomic profiling of chronic hand eczema skin reveals shared immune pathways and molecular drivers across subtypes.

Background: Chronic hand eczema (CHE) is a common skin disease with different subtypes, but knowledge of the molecular patterns associated with each subtype is limited.

Objective: To characterize the CHE transcriptome across subtypes.

Methods: Using RNA-sequencing, we studied the transcriptome of 220 full-thickness skin biopsies collected from palms, dorsa, and arms from 96 patients with CHE and/or atopic dermatitis (AD) and 32 healthy controls.

EXtending Omalizumab Treatment Intervals in patients with Chronic spontaneous urticaria (EXOTIC): protocol of a multicentre, randomised, open-label, non-inferiority trial.

Introduction: Omalizumab, an anti-IgE monoclonal antibody, is effective in treating antihistamine-refractory chronic spontaneous urticaria (CSU). However, tapering strategies for omalizumab are currently not well-studied, and patients may be treated longer than needed. Here, we present the rationale and design of the EXtending Omalizumab Treatment Intervals in patients with Chronic spontaneous urticaria trial, a multicentre, randomised, open-label, non-inferiority clinical trial.

Prevalence and Characteristics of Chronic Hand Eczema Among Adults in Denmark: A General Population-Based Study.

Background: The epidemiology of chronic hand eczema (CHE) remains poorly examined.

Objective: To investigate the prevalence of CHE in a general adult population and describe the characteristics of affected individuals.

Methods: We investigated the prevalence and characteristics of CHE using a random sample from the general Danish population (The Danish Skin Cohort).

Stratum corneum nanotexture feature detection using deep learning and spatial analysis: a noninvasive tool for skin barrier assessment.

Background: Corneocyte surface nanoscale topography (nanotexture) has recently emerged as a potential biomarker for inflammatory skin diseases, such as atopic dermatitis (AD). This assessment method involves quantifying circular nano-size objects (CNOs) in corneocyte nanotexture images, enabling noninvasive analysis via stratum corneum (SC) tape stripping. Current approaches for identifying CNOs rely on computer vision techniques with specific geometric criteria, resulting in inaccuracies due to the susceptibility of nano-imaging techniques to environmental noise and structural occlusion on the corneocyte.