Integrative analysis of PANoptosis-related genes in diabetic retinopathy: machine learning identification and experimental validation.

Journal: Frontiers in immunology
PMID: 39697326

Abstract

BACKGROUND: Diabetic retinopathy (DR) is a major complication of diabetes, leading to severe vision impairment. Understanding the molecular mechanisms, particularly PANoptosis, underlying DR is crucial for identifying potential biomarkers and therapeutic targets. This study aims to identify differentially expressed PANoptosis-related genes (DE-PRGs) in DR, offering insights into the disease's pathogenesis and potential diagnostic tools.

Authors

  • Han Chen
    School of Statistics, University of Minnesota at Twin Cities.
  • Enguang Chen
    Department of Ophthalmology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Ting Cao
    Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Feifan Feng
    Department of Ophthalmology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Min Lin
  • Xuan Wang
    Baylor Scott & White Health, Dallas, TX, USA.
  • Yu Xu
    Panzhihua Central Hospital, Panzhihua, Sichuan, China.

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