基于内质网应激的抗脓毒症肺损伤铁死亡抑制剂筛选
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1.四川大学华西基础医学与法医学院;2.四川大学华西医院重症医学科

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成都市科技局技术创新研发项目(2024-YF05-00488-SN)


Screening of Ferroptosis Inhibitors Against Sepsis-Associated Lung Injury Based on Endoplasmic Reticulum Stress
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Chengdu Municipal Bureau of Science and Technology Technological Innovation R&D Project(2024-YF05-00488-SN)

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    摘要:

    目的:筛选基于内质网应激(Endoplasmic reticulum stress,ERS)抗脓毒症肺损伤(Sepsis-associated lung injury, SALI)的潜在铁死亡抑制剂。方法:通过网络药理学相关数据库获取疾病及通路相关靶点,构建蛋白质-蛋白质相关作用网络图得到关键靶点,从数据库中获取靶向关键靶点的药物,将靶向药物与铁死亡抑制剂、脓毒症治疗药物取交集获得候选药物,并使用CB-Dock 2平台和PyMOL(3.1.6.1版本)软件对候选药物和核心靶点进行分子对接及可视化处理,最终得到能与靶点稳定结合的治疗SALI潜在药物。结果:网络药理学筛选出7个候选药物,分别为氯喹(Chloroquine)、姜黄素(Curcumin)、褪黑素(Melatonin)、槲皮素(Quercetin)、白藜芦醇(Resveratrol)、罗格列酮(Rosiglitazone)、牛磺酸(Taurine)。分子对接结果显示,姜黄素、槲皮素,和罗格列酮表现出多靶点高亲和力特征,提示其在干预SALI中的较强潜力。 结论:姜黄素、槲皮素及罗格列酮具有靶向调控 ERS铁死亡轴干预SALI的潜力。

    Abstract:

    Objective: To screen potential ferroptosis inhibitors against sepsis-associated lung injury (SALI) based on endoplasmic reticulum stress (ERS). Methods: Disease- and pathway-related targets were obtained from network pharmacology databases, and key targets were identified by constructing a protein-protein interaction network. Targeted agents corresponding to these key targets were retrieved from databases, and candidate drugs were obtained by intersecting these agents with ferroptosis inhibitors and sepsis therapeutic drugs. Molecular docking and visualization of candidate drugs and core targets were performed using the CB-Dock 2 platform and PyMOL (version 3.1.6.1) to identify potential drugs with stable binding affinity for the treatment of SALI. Results: Seven candidate drugs were screened via network pharmacology, including chloroquine, curcumin, melatonin, quercetin, resveratrol, rosiglitazone, and taurine. Molecular docking results showed that curcumin, quercetin, and rosiglitazone exhibited multi-target and high-binding-affinity characteristics, suggesting strong potential in the intervention of SALI. Conclusion: Curcumin, quercetin, and rosiglitazone possess the potential to target and regulate the ERS-ferroptosis axis against sepsis-associated lung injury.

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王子瑶,周琰.基于内质网应激的抗脓毒症肺损伤铁死亡抑制剂筛选[J].四川生理科学杂志,2026,48(5):

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  • 收稿日期:2026-03-24
  • 最后修改日期:2026-03-24
  • 录用日期:2026-03-30
  • 在线发布日期: 2026-05-20
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