REVIEW article
Front. Immunol.
Sec. Inflammation
Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1675241
This article is part of the Research TopicImmune Landscape in the Transition from Inflammation to TumorigenesisView all 11 articles
AI-Guided Multi-Omics Profiling of Post-Stroke Immune Dysregulation: Insights into Chronic Inflammation and Immune Plasticity
Provisionally accepted
- 1Chengdu University of Traditional Chinese Medicine, Chengdu, China
- 2Chengdu Fifth People's Hospital, Chengdu, China
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Ischemic stroke is characterized by profound immunoinflammatory alterations that evolve across acute, subacute, and chronic phases. This dynamic process involves spatiotemporal remodeling of immune cell phenotypes, cytokine networks, metabolic axes, and programmed cell death pathways—mechanisms that closely mirror immune dysregula-tion in other inflammation-associated pathologies. In this review, we integrate multi-om-ics evidence and artificial intelligence (AI)–driven analyses to delineate the immune landscape of post-stroke inflammation, focusing on how AI enables high-resolution map-ping of immune cell transitions, signaling cascades, and epigenetic control mechanisms. By positioning ischemic stroke as a representative model for studying immune microen-vironment plasticity, we propose that insights gained from stroke immunopathology offer valuable conceptual and methodological frameworks for understanding chronic inflammation and its broader implications in disease evolution.
Keywords: ischemic stroke, immune microenvironment, immune remodeling, Multi-omics analysis, artificial intelligence
Received: 29 Jul 2025; Accepted: 01 Sep 2025.
Copyright: © 2025 Yan, Ge, Yu, Huang, Ma, Chang, Li and PENG. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Yulin Li, Chengdu University of Traditional Chinese Medicine, Chengdu, China
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