Effect of atrial natriuretic factor on blood–brain barrier permeability

1989 ◽  
Vol 67 (6) ◽  
pp. 637-640 ◽  
Author(s):  
Sukriti Nag ◽  
Stephen C. Pang
Keyword(s):  
Horseradish Peroxidase ◽  
Blood Brain Barrier ◽  
Atrial Natriuretic Factor ◽  
Brain Barrier ◽  
Barrier Permeability ◽  
Blood Brain Barrier Permeability ◽  
Natriuretic Factor ◽  
Blood Brain ◽  
Brain Barrier Permeability ◽  
Atrial Natriuretic

Recent studies have demonstrated receptors for atrial natriuretic factor on endothelium of intracerebral vessels. The physiological role of these receptors is not known. The present study was undertaken to determine whether atrial natriuretic factor has an effect on blood–brain barrier permeability to protein and ions using horseradish peroxidase and lanthanum as markers of permeability alterations. This study does not demonstrate a significant effect of atrial natriuretic factor on blood–brain barrier permeability mechanisms in steady states.Key words: blood–brain barrier, atrial natriuretic factor, horseradish peroxidase, lanthanum, ultrastructure.

O2 radicals in arachidonate-induced increased blood-brain barrier permeability to proteins

1986 ◽  
Vol 251 (4) ◽  
pp. H693-H699 ◽  
Author(s):  
E. P. Wei ◽  
M. D. Ellison ◽  
H. A. Kontos ◽  
J. T. Povlishock
Keyword(s):  
Horseradish Peroxidase ◽  
Blood Brain Barrier ◽  
Topical Application ◽  
Brain Barrier ◽  
Barrier Permeability ◽  
Blood Brain Barrier Permeability ◽  
Cranial Window ◽  
Blood Brain ◽  
Brain Barrier Permeability ◽  
Pial Arterioles

We studied the effect of topical application of arachidonate on the brain surface on blood-brain barrier permeability to either 125I-labeled human albumin or to horseradish peroxidase administered intravenously. Arachidonate was applied under a cranial window, and the concentration of albumin was measured in brain after elimination of the blood by perfusion-fixation. Permeability to 125I-labeled albumin was increased in the superficial 4 mm of the cortex but not in the deeper cortical layer 4-6 mm from the surface. This increased permeability to albumin was prevented by simultaneous topical application of superoxide dismutase (60 U/ml) and catalase (40 U/ml). Alterations in vascular permeability to horseradish peroxidase were evaluated in semiquantitative fashion, and they behaved similarly. Extravasated horseradish peroxidase was found in the wall of penetrating arterioles, and to a lesser extent in the wall of intraparenchymal vessels and capillaries, but not in the wall of pial arterioles or veins, although these latter vessels displayed focal endothelial lesions. We conclude that arachidonate increases the blood-brain barrier permeability to proteins. This increase in permeability is mediated by O2 radicals. The increased permeability occurs primarily in penetrating arterioles and not in pial arterioles or veins.

Ligand and Structure-based Modeling of Passive Diffusion through the Blood-Brain Barrier

2018 ◽  
Vol 25 (9) ◽  
pp. 1073-1089 ◽  
Author(s):  
Santiago Vilar ◽  
Eduardo Sobarzo-Sanchez ◽  
Lourdes Santana ◽  
Eugenio Uriarte
Keyword(s):  
Blood Brain Barrier ◽  
In Silico ◽  
Passive Diffusion ◽  
Brain Barrier ◽  
Barrier Permeability ◽  
Blood Brain Barrier Permeability ◽  
Blood Brain ◽  
Brain Barrier Permeability ◽  
Different Types ◽  
The Brain

Background: Blood-brain barrier transport is an important process to be considered in drug candidates. The blood-brain barrier protects the brain from toxicological agents and, therefore, also establishes a restrictive mechanism for the delivery of drugs into the brain. Although there are different and complex mechanisms implicated in drug transport, in this review we focused on the prediction of passive diffusion through the blood-brain barrier. Methods: We elaborated on ligand-based and structure-based models that have been described to predict the blood-brain barrier permeability. Results: Multiple 2D and 3D QSPR/QSAR models and integrative approaches have been published to establish quantitative and qualitative relationships with the blood-brain barrier permeability. We explained different types of descriptors that correlate with passive diffusion along with data analysis methods. Moreover, we discussed the applicability of other types of molecular structure-based simulations, such as molecular dynamics, and their implications in the prediction of passive diffusion. Challenges and limitations of experimental measurements of permeability and in silico predictive methods were also described. Conclusion: Improvements in the prediction of blood-brain barrier permeability from different types of in silico models are crucial to optimize the process of Central Nervous System drug discovery and development.

Sign in / Sign up

Export Citation Format

Share Document