Discovery of biomarkers in the psoriasis through machine learning and dynamic immune infiltration in three types of skin lesions.

Journal: Frontiers in immunology
PMID: 38803495

Abstract

INTRODUCTION: Psoriasis is a chronic skin disease characterized by unique scaling plaques. However, during the acute phase, psoriatic lesions exhibit eczematous changes, making them difficult to distinguish from atopic dermatitis, which poses challenges for the selection of biological agents. This study aimed to identify potential diagnostic genes in psoriatic lesions and investigate their clinical significance.

Authors

  • Xiao Zhou
    College of Environmental Science and Engineering, Tongji University, 200092, Shanghai, China; Centre for Water Systems, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, EX4 4QF, UK.
  • Han Zhou
    Jiangsu Provincial Key Laboratory of Special Robot Technology, Hohai University, Changzhou, China.
  • Xin Luo
    Department of Pharmacology, The Basic Medical Sciences College of Xinjiang Medical University Urumqi 830054, China.
  • Rui-Fang Wu
    Department of Dermatology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.

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