Atopic dermatitis stratification: current and future perspective on skin and blood transcriptomic and proteomic profiling

Kelly Hawkins, Eden David, Jacob W. Glickman, Ester Del Duca, Emma Guttman-Yassky, James G. Krueger

Research output: Contribution to journalArticlepeer-review

Abstract

Introduction: Atopic dermatitis (AD) is a common, chronic inflammatory skin disorder driven by an intricate interplay of genetic, environmental, and immunological factors. Areas covered: As a clinically heterogenous condition, AD may be stratified into subtypes based on factors including, chronicity, immunoglobulin E levels, severity, age, and ethnicity. Transcriptomic and proteomic analyses in skin and blood help elucidate the underlying molecular mechanisms of these AD subtypes, referred to as AD endotypes. Further characterizing AD endotypes using reliable biomarkers can facilitate the development of more effective and personalized therapeutics and improve our tools for monitoring disease progression and therapeutic response across a diverse subset of patients. Here, we aim to provide perspective on the latest research regarding AD stratification using skin and blood-based studies and insight into the implications of these findings on the future of AD research and clinical practice. Expert Opinion: The precise stratification of AD endotypes will allow for the development of reliable biomarkers and a more personalized medical treatment approach. Clinical practice and trials will eventually be able to bridge clinical with molecular data to optimize individualized treatments and more effectively monitor treatment response.

Original languageEnglish
JournalExpert Review of Clinical Immunology
DOIs
StateAccepted/In press - 2024

Keywords

  • Atopic dermatitis
  • biologics
  • endotypes
  • IgE
  • proteomics
  • transcriptomics

Fingerprint

Dive into the research topics of 'Atopic dermatitis stratification: current and future perspective on skin and blood transcriptomic and proteomic profiling'. Together they form a unique fingerprint.

Cite this