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  • Title: Pathobiology of human cerebrovascular malformations: basic mechanisms and clinical relevance.
    Author: Gault J, Sarin H, Awadallah NA, Shenkar R, Awad IA.
    Journal: Neurosurgery; 2004 Jul; 55(1):1-16; discussion 16-7. PubMed ID: 15214969.
    Abstract:
    Cerebrovascular malformations affect more than 3% of the population, exposing them to a lifetime risk of hemorrhagic stroke, seizures, and focal neurological deficits. Cerebral cavernous malformations (CCMs) exhibit an immature vessel wall, a brittle hemorrhagic tendency, and epileptogenesis, whereas arteriovenous malformations (AVMs) lack capillary beds and manifest apoplectic bleeding under high-flow conditions. There are also more benign venous anomalies, capillary malformations, and lesions with mixed and transitional features. Advances have been made toward understanding the natural history, radiological and pathological correlates, and clinical management. Yet, mechanisms of lesion genesis and clinical manifestations remain largely unknown, and the clinical behavior in individual patients is highly unpredictable. Lesion pathogenesis likely involves abnormal assembly or maintenance of blood vessels, resulting in dysmorphic vessel phenotypes. Familial CCM disease is in part caused by mutations in a cytoskeletal-related protein that is likely integral to interendothelial cell connectivity and maturation of the vascular wall. Rare familial forms of AVM disease have been correlated with two different transforming growth factor-beta receptor components, possibly causing disturbance in signaling during vascular assembly. Relevance of these mechanisms to the more common and otherwise identical sporadic CCM and AVM lesions is being explored. In this report, basic mechanisms of vasculogenesis and angiogenesis and how they possibly relate to the common cerebrovascular malformation lesions are reviewed. Novel concepts are discussed related to the cellular, molecular, and genetic substrates in CCM and AVM as well as to how this knowledge can be applied to predict, explain, and possibly modify clinical disease manifestations.
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