Machine learning-based prediction model for lung ischemia-reperfusion injury: insights from disulfidptosis-related genes

Machine learning-based prediction model for lung ischemia-reperfusion injury: insights from disulfidptosis-related genes

ObjectiveThis study aims to explore potential ischemia-reperfusion injury (IRI) predictive biomarkers related to disulfidptosis following lung transplantation.MethodsThe study utilized datasets from the GEO database, specifically GSE145989 and GSE127003, which include samples of lung cold ischemia a...

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Bibliographic Details
Main Authors: Yanpeng Zhang, Jingyang Sun, Yihan Lin, Rongxuan Jiang, Niuniu Dong, Huanhuan Dong, Peng Li, Jinteng Feng, Zijiang Zhu, Guangjian Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Pharmacology
Subjects:
IRI
lung transplant
SLC7A11 (xCT)
LRPPRC
disulfidptosis
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2025.1545111/full
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https://www.frontiersin.org/articles/10.3389/fphar.2025.1545111/full

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