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Protein–protein interaction-mediated signaling networks in ischemic stroke: from molecular mechanisms to therapeutic strategies

delete2026-08-10
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PRE
AI
Y
Yi-yue Zhang
X
Xing-yu Long
K
Kai-jia Wang
J
Jing Tian
J
Jin-yun Xu *
X
Xiu-ju Luo *
DOI:10.1038/s41401-026-01904-8delete
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Abstract

Abstract

En 中文
The pathological progression of ischemic stroke is driven by a dynamic signaling network mediated by protein-protein interactions (PPI) that involves excitotoxicity, oxidative stress, neuroinflammation, and regulated cell death (RCD), ultimately leading to neurological dysfunctions. Instead of functioning independently, these PPI-driven pathways engage in extensive cross-talk, creating cycles that exacerbate the injury over both space and time. Therapeutic strategies designed to disrupt key nodal PPIs, comprising small molecule inhibitors, peptide mimetics, and chimeras targeting proteolysis (PROTACs), have shown promise. However, clinical translation faces several major challenges, including the structural complexity of PPIs, the efficiency of blood-brain barrier (BBB) penetration, and the adaptive, multifactorial nature of the ischemic cascade. Emerging approaches are now shifting from single-target inhibition to network-level intervention, utilizing artificial intelligence (AI)-guided drug development, multi-target PPI regulators, and context-responsive delivery systems to achieve spatiotemporal precision. Through the integration of multidisciplinary technologies and mechanism-driven innovative designs, PPI-targeted strategies provide a promising approach to reprogramming the ischemic brain for repair, moving beyond traditional neuroprotection to dynamic network medicine.
Keywords:
protein–protein interaction
ischemic stroke
excitotoxicity
oxidative stress
neuroinflammation
regulated cell death

Journal

Acta Pharmacologica Sinica cover
Acta Pharmacologica Sinica
IF:
8.4
Papers:
4.4K
Citations:
1.8W

Organization

D
Department of Laboratory Medicine
Scholars:
470
Papers: 178
Citations: 0
D
department of clinical pharmacy
Scholars:
118
Papers: 48
Citations: 0
T
tongji medical college
Scholars:
1.8K
Papers: 348
Citations: 0
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