Neuroimaging is the new "spatial omic": multi-omic approaches to neuro-inflammation and immuno-thrombosis in acute ischemic stroke.

IF 7.9 2区 医学 Q1 IMMUNOLOGY
Seminars in Immunopathology Pub Date : 2023-01-01 Epub Date: 2023-02-14 DOI:10.1007/s00281-023-00984-6
Benjamin Maïer, Amy S Tsai, Jakob F Einhaus, Jean-Philippe Desilles, Benoît Ho-Tin-Noé, Benjamin Gory, Marina Sirota, Richard Leigh, Robin Lemmens, Gregory Albers, Jean-Marc Olivot, Mikael Mazighi, Brice Gaudillière
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引用次数: 0

Abstract

Ischemic stroke (IS) is the leading cause of acquired disability and the second leading cause of dementia and mortality. Current treatments for IS are primarily focused on revascularization of the occluded artery. However, only 10% of patients are eligible for revascularization and 50% of revascularized patients remain disabled at 3 months. Accumulating evidence highlight the prognostic significance of the neuro- and thrombo-inflammatory response after IS. However, several randomized trials of promising immunosuppressive or immunomodulatory drugs failed to show positive results. Insufficient understanding of inter-patient variability in the cellular, functional, and spatial organization of the inflammatory response to IS likely contributed to the failure to translate preclinical findings into successful clinical trials. The inflammatory response to IS involves complex interactions between neuronal, glial, and immune cell subsets across multiple immunological compartments, including the blood-brain barrier, the meningeal lymphatic vessels, the choroid plexus, and the skull bone marrow. Here, we review the neuro- and thrombo-inflammatory responses to IS. We discuss how clinical imaging and single-cell omic technologies have refined our understanding of the spatial organization of pathobiological processes driving clinical outcomes in patients with an IS. We also introduce recent developments in machine learning statistical methods for the integration of multi-omic data (biological and radiological) to identify patient-specific inflammatory states predictive of IS clinical outcomes.

Abstract Image

神经成像是新的 "空间 omic":急性缺血性中风中神经炎症和免疫血栓形成的多组学方法。
缺血性中风(IS)是导致后天残疾的主要原因,也是导致痴呆和死亡的第二大原因。目前治疗缺血性中风的方法主要是对闭塞动脉进行血管再通。然而,只有 10% 的患者符合血管再通的条件,50% 的血管再通患者在 3 个月后仍会致残。越来越多的证据表明,IS 后的神经和血栓炎症反应对预后具有重要意义。然而,几项有前景的免疫抑制或免疫调节药物随机试验均未显示出积极的效果。由于对 IS 炎症反应的细胞、功能和空间组织的患者间变异性了解不足,很可能导致临床前研究结果未能成功转化为临床试验。对 IS 的炎症反应涉及神经元、神经胶质细胞和免疫细胞亚群之间复杂的相互作用,跨越多个免疫分区,包括血脑屏障、脑膜淋巴管、脉络丛和颅骨骨髓。在此,我们回顾了 IS 的神经和血栓炎症反应。我们讨论了临床成像和单细胞奥米克技术如何完善了我们对驱动 IS 患者临床结果的病理生物学过程的空间组织的理解。我们还介绍了机器学习统计方法的最新发展,这些方法用于整合多组学数据(生物学和放射学),以确定可预测 IS 临床结果的患者特异性炎症状态。
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来源期刊
Seminars in Immunopathology
Seminars in Immunopathology 医学-病理学
CiteScore
19.80
自引率
2.20%
发文量
69
审稿时长
12 months
期刊介绍: The aim of Seminars in Immunopathology is to bring clinicians and pathologists up-to-date on developments in the field of immunopathology.For this purpose topical issues will be organized usually with the help of a guest editor.Recent developments are summarized in review articles by authors who have personally contributed to the specific topic.
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