Abstract

Atopic dermatitis is a common inflammatory skin disorder characterised by recurrent eczematous lesions and intense itch. The disorder affects people of all ages and ethnicities, has a substantial psychosocial impact on patients and relatives, and is the leading cause of the global burden from skin disease. Atopic dermatitis is associated with increased risk of multiple comorbidities, including food allergy, asthma, allergic rhinitis, and mental health disorders. The pathophysiology is complex and involves a strong genetic predisposition, epidermal dysfunction, and T-cell driven inflammation. Although type-2 mechanisms are dominant, there is increasing evidence that the disorder involves multiple immune pathways. Currently, there is no cure, but increasing numbers of innovative and targeted therapies hold promise for achieving disease control, including in patients with recalcitrant disease. We summarise and discuss advances in our understanding of the disease and their implications for prevention, management, and future research.

Keywords

Atopic dermatitisMedicineDiseasePsychosocialGenetic predispositionAllergyImmunologyDermatologyAsthmaImmune dysregulationPsychiatryPathology

MeSH Terms

AdolescentAsthmaChildChildPreschoolComorbidityDermatitisAtopicEczemaFood HypersensitivityGenetic Predisposition to DiseaseGlobal Burden of DiseaseHumansInfantInflammationMental DisordersMicrobiotaMolecular Targeted TherapyPhototherapyPrevalencePruritusQuality of LifeRhinitisAllergicT-Lymphocytes

Affiliated Institutions

Related Publications

Publication Info

Year
2020
Type
review
Volume
396
Issue
10247
Pages
345-360
Citations
1577
Access
Closed

Social Impact

Altmetric
PlumX Metrics

Social media, news, blog, policy document mentions

Citation Metrics

1577
OpenAlex
21
Influential
1463
CrossRef

Cite This

Sinéad Langan, Alan D. Irvine, Stephan Weidinger (2020). Atopic dermatitis. The Lancet , 396 (10247) , 345-360. https://doi.org/10.1016/s0140-6736(20)31286-1

Identifiers

DOI
10.1016/s0140-6736(20)31286-1
PMID
32738956

Data Quality

Data completeness: 81%