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

Neuroimaging is the new "spatial omic": multi-omic approaches to neuro-inflammation and immuno-thrombosis in acute ischemic stroke.
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DOI:
10.1007/s00281-023-00984-6
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发表时间:
2023-01
影响因子:
9
通讯作者:
Gaudilliere, Brice
Gaudilliere, Brice
中科院分区:
医学1区
文献类型:
--
作者:
Maier, Benjamin;Tsai, Amy S.;Einhaus, Jakob F.;Desilles, Jean-Philippe;Ho-Tin-Noe, Benoit;Gory, Benjamin;Sirota, Marina;Leigh, Richard;Lemmens, Robin;Albers, Gregory;Olivot, Jean-Marc;Mazighi, Mikael;Gaudilliere, Brice

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缺血性中风(IS)是导致后天残疾的首要原因,也是导致痴呆和死亡的第二大原因。目前对IS的治疗主要集中在闭塞动脉的血运重建上。然而,只有10%的患者符合血管重建术的条件,50%的血管重建术患者在3个月后仍然残疾。越来越多的证据强调了IS后神经和血栓炎症反应的预后意义。然而,几个有前景的免疫抑制或免疫调节药物的随机试验没有显示出积极的结果。对炎症反应的细胞、功能和空间组织的患者间变异性的了解不足可能是未能将临床前发现转化为成功的临床试验的原因之一。IS的炎症反应涉及跨越多个免疫隔室的神经细胞、神经胶质细胞和免疫细胞亚群之间的复杂相互作用,包括血脑屏障、脑膜淋巴管、脉络丛和颅骨骨髓。在这里,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基因组技术如何加深了我们对推动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,用于整合多组数据(生物学和放射学),以识别预测临床结果的患者特定的炎症状态。
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.
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