Integrating machine learning and multi-omics analysis to reveal nucleotide metabolism-related immune genes and their functional validation in ischemic stroke.

Journal: Frontiers in immunology
PMID: 40207230

Abstract

BACKGROUND: Ischemic stroke (IS) is a major global cause of death and disability, linked to nucleotide metabolism imbalances. This study aimed to identify nucleotide metabolism-related genes associated with IS and explore their roles in disease mechanisms for new diagnostic and therapeutic strategies.

Authors

  • Tianzhi Li
    Department of Pathophysiology, Key Laboratory of Pathobiology, Ministry of Education, College of Basical Medical Sciences, Jilin University, Changchun, China.
  • Xiaojia Kang
    Department of Pathophysiology, Key Laboratory of Pathobiology, Ministry of Education, College of Basical Medical Sciences, Jilin University, Changchun, China.
  • Sijie Zhang
    Department of Pathophysiology, Key Laboratory of Pathobiology, Ministry of Education, College of Basical Medical Sciences, Jilin University, Changchun, China.
  • Yihan Wang
    Vanderbilt University Medical Center, Nashville TN 37232, USA.
  • Jinshan He
    Department of Pathophysiology, Key Laboratory of Pathobiology, Ministry of Education, College of Basical Medical Sciences, Jilin University, Changchun, China.
  • Hongyan Li
    Department of Psychogeriatrics, Kangci Hospital of Jiaxing, Tongxiang, Zhejiang, China.
  • Chen Shao
    School of Intelligent Engineering, Shandong Management University, Jinan 250357, China.
  • Jingsong Kang
    Department of Pathophysiology, Key Laboratory of Pathobiology, Ministry of Education, College of Basical Medical Sciences, Jilin University, Changchun, China.

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