Post-stroke glymphatic and meningeal lymphatic dysfunction: mechanisms, imaging evidence, and translational challenges

淋巴系统 医学 血管周围间隙 磁共振弥散成像 磁共振成像 蛛网膜下腔出血 脑脊液 蛛网膜下腔 冲程(发动机) 病理 脑出血 神经影像学 人脑 淋巴系统 神经科学 间质液 放射科 纤维束成像 医学影像学 功能磁共振成像 临床前影像学
作者
Jin Yang,Ting Wang,Yaoyue Hu,Cuiying Liu,Tianliang Shi,Heng Zhao
出处
期刊: [Frontiers Media]
卷期号:5: 1861562-1861562
标识
DOI:10.3389/fstro.2026.1861562
摘要

Stroke may disrupt brain fluid and waste clearance pathways, including the glymphatic and meningeal lymphatic systems, across ischemic stroke, intracerebral hemorrhage, and subarachnoid hemorrhage. This review synthesizes current evidence on post-stroke alterations in these pathways, with emphasis on subtype-specific mechanisms, the distinction between experimental and human evidence, and the strengths and limitations of available imaging approaches. Experimental studies suggest that ischemic stroke may involve hyperacute perivascular cerebrospinal fluid influx followed by impaired glymphatic transport, that intracerebral hemorrhage is more closely linked to blood-product-related disruption of glymphatic and meningeal lymphatic drainage, and that subarachnoid hemorrhage may involve combined glymphatic and meningeal lymphatic failure. We further review in vivo imaging methods, particularly magnetic resonance imaging (MRI) approaches such as dynamic contrast-enhanced MRI, diffusion tensor image analysis along the perivascular space, and structural perivascular space imaging, and we discuss their biological directness and translational limitations. Across modalities, the most direct evidence still comes mainly from experimental tracer-based MRI and selected intrathecal contrast-enhanced MRI studies in humans. Among stroke subtypes, subarachnoid hemorrhage currently provides the most direct human MRI evidence of combined clearance-pathway dysfunction, whereas most other human stroke data rely on indirect surrogate markers, especially diffusion tensor image analysis along the perivascular space. Accordingly, current clearance-pathway imaging should be regarded primarily as a mechanistic and early translational research tool rather than a validated clinical biomarker. Importantly, most proposed links between molecular mechanisms, imaging readouts, and clinical outcomes remain inferential and require prospective validation in human stroke cohorts. Prospective human studies are needed to test whether targeting brain clearance pathways improves post-stroke recovery and cognition.
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