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Published on: December 7, 2013
The Correlation of Vessel Wall Macrophage Infiltration With Hemosiderin in Arteriovenous Malformations
Jessica Hossa1, Laura Stone McGuire2, Tibor Valyi-Nagy3
1Department of Surgery, University of Illinois Chicago, Chicago, Illinois, USA.
Background:
Endothelial dysfunction, induced by high shear stress from increased nidal blood flow, may promote a cycle of inflammation, possibly leading to instability and cerebral arteriovenous malformations (AVMs) rupture. Macrophages, identified with Cluster of Differentiation 68, are key inflammatory components in AVM pathology. We aim to evaluate the relationship of inflammation with AVM flow and hemosiderin.
Methods:
This is a retrospective study of archived tissue. Adult patients (2002-2022) with baseline quantitative magnetic resonance angiography imaging, no embolization, and history of microsurgical resection (n = 17), with both ruptured (n = 9) and unruptured cases (n = 8). Brain AVM sections were stained with Cluster of Differentiation 68 to quantify vessel wall macrophage infiltration and hematoxylin and eosin stain as a control and to quantify hemosiderin. Quantitative magnetic resonance angiography with noninvasive optimal vessel analysis was reviewed, and AVM flow was calculated. Statistical analyses were performed.
Results:
There were no significant differences among macrophage infiltration and patient demographics, Spetzler-Martin grade, eloquence, venous stenosis, nidus compactness, volume, and AVM flow. Vessel wall macrophage infiltration positively correlated with patients who presented with confirmed AVM rupture (163.8 ± 46.7 vs. 101.3 ± 49.4, P = 0.017). Increases in vessel wall macrophage infiltration were found to positively correlate with higher grades of hemosiderin (P = 0.023), except for grade 4 hemosiderin. Venous anomaly showed a negative association with macrophage infiltration (P = 0.035).
Conclusions:
These findings suggest a relationship among AVM vessel wall inflammation, hemosiderin, and hemorrhage presentation. Further investigations with larger sample sizes are warranted to understand the role of altered hemodynamics, hemosiderin deposition, and inflammation in AVM vessel walls.
Insights
Inflammation in cerebral arteriovenous malformations (AVMs), marked by macrophages, correlates with rupture and hemosiderin. Understanding this link is key for AVM treatment and predicting outcomes.
Area of Science:
- Neuroscience
- Vascular Biology
- Pathology
Background:
- Endothelial dysfunction from high shear stress in cerebral arteriovenous malformations (AVMs) may drive inflammation and rupture.
- Macrophages (Cluster of Differentiation 68) are critical inflammatory cells in AVM pathology.
- This study investigates the link between AVM inflammation, blood flow, and hemosiderin deposition.
Purpose of the Study:
- To evaluate the relationship between vessel wall inflammation (macrophage infiltration) and hemodynamic factors in AVMs.
- To assess the correlation between macrophage infiltration, AVM rupture, and hemosiderin levels.
- To explore potential links between inflammation and AVM characteristics.
Main Methods:
- Retrospective analysis of archived brain AVM tissue from adult patients (2002-2022).
- Quantification of macrophage infiltration (Cluster of Differentiation 68) and hemosiderin using tissue staining.
- Calculation of AVM blood flow using quantitative magnetic resonance angiography (MRA).
Main Results:
- Vessel wall macrophage infiltration positively correlated with AVM rupture and higher grades of hemosiderin.
- No significant differences in macrophage infiltration were found related to AVM flow, Spetzler-Martin grade, or other demographic factors.
- Venous anomalies showed a negative association with macrophage infiltration.
Conclusions:
- Findings suggest a significant relationship between AVM vessel wall inflammation, hemosiderin, and presentation with hemorrhage.
- Further research with larger cohorts is needed to elucidate the roles of hemodynamics, hemosiderin, and inflammation in AVMs.
- Understanding these factors may improve AVM management and outcome prediction.
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