Deciphering atopic dermatitis heterogeneity: a short review on the translational revolution from endotypes to immunotypes

Atopic dermatitis is the most prevalent chronic inflammatory skin disease, classically defined by its eczematous lesions and relapsing course. However, growing evidence over the past decade has revealed that this disease is in fact far more heterogeneous than previously thought - both in its clinical manifestations and in the underlying molecular and immunological mechanisms. This short review explores the evolving conceptual framework used to analyze atopic dermatitis, encompassing clinical presentations (phenotypes), immune polarization profiles (immunotypes), and the background disease-related and context-related factors that shape them. The aim of this review is to highlight how such heterogeneity influences disease severity, progression, and therapeutic response, particularly in the context of increasingly personalized treatment strategies. By synthesizing accumulated scientific and clinical insights, this short review provides clinicians with a practical guide to navigating the complex spectrum of AD and its underlying therapeutic targets. Recognizing and interpreting this multidimensional variability is essential for understanding disease course and optimizing treatment selection.

Authors

Institutions

Publication Details

Journal
JDDG Journal der Deutschen Dermatologischen Gesellschaft
Published
2025-12-13
DOI
https://doi.org/10.1111/ddg.15991
Primary Topic
Dermatology and Skin Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Deciphering atopic dermatitis heterogeneity: a short review on the translational revolution from endotypes to immunotypes

Ricardo Ruíz‐Villaverde, Álvaro Prados‐Carmona, F.J. Navarro‐Triviño, Husein Husein‐ElAhmed
JDDG Journal der Deutschen Dermatologischen Gesellschaft
Dermatology and Skin Diseases
article

Deciphering atopic dermatitis heterogeneity: a short review on the translational revolution from endotypes to immunotypes

Ricardo Ruíz‐Villaverde, Álvaro Prados‐Carmona, F.J. Navarro‐Triviño, Husein Husein‐ElAhmed
article en

Abstract

Atopic dermatitis is the most prevalent chronic inflammatory skin disease, classically defined by its eczematous lesions and relapsing course. However, growing evidence over the past decade has revealed that this disease is in fact far more heterogeneous than previously thought - both in its clinical manifestations and in the underlying molecular and immunological mechanisms. This short review explores the evolving conceptual framework used to analyze atopic dermatitis, encompassing clinical presentations (phenotypes), immune polarization profiles (immunotypes), and the background disease-related and context-related factors that shape them. The aim of this review is to highlight how such heterogeneity influences disease severity, progression, and therapeutic response, particularly in the context of increasingly personalized treatment strategies. By synthesizing accumulated scientific and clinical insights, this short review provides clinicians with a practical guide to navigating the complex spectrum of AD and its underlying therapeutic targets. Recognizing and interpreting this multidimensional variability is essential for understanding disease course and optimizing treatment selection.

JDDG Journal der Deutschen Dermatologischen Gesellschaft
Universidad de Granada (ES), Universidad Internacional (MX), Instituto de Investigación Biosanitaria de Granada (ES), Complejo Hospitalario Universitario de Granada (ES), Escuela de Estudios Árabes (ES)
Openalex Percentile: Top 37%
Dermatology and Skin Diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.