Blood Transcriptome Signature as Indicator and Predictor for Efficacy of Abrocitinib in Treatment of Atopic

Yu Wang1, Huibin Yin1, Zheng Li1

  • 1Department of Dermatology, Shanghai Institute of Dermatology, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.

Insights

Abrocitinib rapidly normalizes blood gene expression in atopic dermatitis (AD) patients, improving clinical symptoms. Higher baseline eosinophil counts predict better transcriptomic response to this JAK1 inhibitor treatment.

Area of Science:

  • Immunology
  • Genomics
  • Dermatology

Background:

  • Atopic dermatitis (AD) is characterized by systemic inflammation with significant blood transcriptome alterations.
  • The impact of JAK1 inhibitors, such as abrocitinib, on the AD blood transcriptome is not well understood.

Purpose of the Study:

  • To investigate the effects of abrocitinib on the blood transcriptome in AD patients.
  • To identify transcriptomic predictors of abrocitinib treatment efficacy.

Main Methods:

  • Blood mRNA sequencing was performed on 31 AD patients at baseline and weeks 4 and 12 during daily 100 mg abrocitinib treatment.
  • Analyses included differential gene expression, immune cell infiltration, weighted gene coexpression networks, and correlation with clinical traits.
  • A 5-gene predictive model for treatment efficacy was developed and validated in an independent cohort.

Main Results:

  • Abrocitinib treatment significantly improved clinical AD symptoms.
  • Rapid blood transcriptome normalization, including immune cell profile changes, occurred by week 4.
  • Higher baseline eosinophil counts correlated with greater transcript normalization, and a 5-gene model predicted efficacy.

Conclusions:

  • Abrocitinib treatment leads to rapid and broad normalization of the dysregulated blood transcriptome in AD patients.
  • This transcriptomic normalization is associated with the drug's clinical efficacy.
  • Baseline eosinophil levels and a novel 5-gene signature may predict treatment response.