Cerebral cavernous malformations (CCM) are neurovascular dysplasias that result in mulberry-shaped lesions predominantly located in brain and spinal tissues. Mutations in three genes are associated with CCM. These genes encode for the proteins KRIT1/CCM1 (krev interaction trapped 1/cerebral cavernous malformations 1), cerebral cavernous malformations 2, osmosensing scaffold for MEKK3 (CCM2/malcavernin/OSM), and cerebral cavernous malformations 3/programmed cell death 10 (CCM3/PDCD10). There have been many significant recent advances in our understanding of the structure and function of these proteins, as well as in their roles in cellular signaling. Here, we provide an update on the current knowledge of the structure of the CCM proteins and their functions within cellular signaling, particularly in cellular adhesion complexes and signaling cascades. We go on to discuss subcellular localization of the CCM proteins, the formation and regulation of the CCM complex signaling platform, and current progress towards targeted therapy for CCM disease. Recent structural studies have begun to shed new light on CCM protein function, and we focus here on how these studies have helped inform the current understanding of these roles and how they may aid future studies into both CCM-related biology and disease mechanisms.
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http://dx.doi.org/10.1007/s00018-013-1532-9 | DOI Listing |
J Cereb Blood Flow Metab
January 2025
Neurovascular Surgery Program, Department of Neurological Surgery, University of Chicago Medicine and Biological Sciences, Chicago, IL, USA.
Increases in mean lesional iron content by quantitative susceptibility mapping (QSM) by ≥6% and/or vascular permeability by dynamic contrast enhanced quantitative perfusion (DCEQP) by ≥40% on MRI have been associated with new symptomatic hemorrhage (SH) in cerebral cavernous malformations (CCMs). It is not known if plasma biomarkers can reflect these changes within the lesion proper. This cohort study enrolled 46 CCM patients with SH in the prior year.
View Article and Find Full Text PDFNeurosurg Rev
January 2025
Department of Neurology and Neurosurgery, Universidade Federal de São Paulo, São Paulo, SP, Brazil.
To evaluate the incidence of mortality, hemorrhage, and neurological deficits in treating intracranial arteriovenous malformations (AVMs) in patients over 18 through a comparative analysis of surgical approaches and other therapeutic modalities. A systematic review was conducted using MEDLINE, Embase, CENTRAL, and LILACS databases in November 2023. Inclusion criteria included clinical trials, cohorts studies, case-controls studies, and case series comparing patients over 18 undergoing surgery or microsurgery versus other treatments (radiosurgery, isolated embolization, and conservative treatment).
View Article and Find Full Text PDFEpilepsia
January 2025
Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Objective: To evaluate iron deposition patterns in patients with cerebral cavernous malformation-related epilepsy (CRE) using quantitative susceptibility mapping (QSM) for detailed analysis of iron distribution associated with a history of epilepsy and severity.
Methods: This study is part of the Quantitative Susceptibility Biomarker and Brain Structural Property for Cerebral Cavernous Malformation Related Epilepsy (CRESS) cohort, a prospective multicenter study. QSM was used to quantify iron deposition in patients with sporadic cerebral cavernous malformation (CCMs).
Cell Commun Signal
January 2025
School of Medicine, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Endothelial-mesenchymal transition (EndMT) is defined as an important process of cellular differentiation by which endothelial cells (ECs) are prone to lose their characteristics and transform into mesenchymal cells. During EndMT, reduced expression of endothelial adhesion molecules disrupts intercellular adhesion, triggering cytoskeletal reorganization and mesenchymal transition. Numerous studies have proved that EndMT is a multifaceted biological event driven primarily by cytokines such as TGF-β, TNF-α, and IL-1β, alongside signaling pathways like WNT, Smad, MEK-ERK, and Notch.
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