Detection of blood‐brain barrier dysfunction using advanced imaging methods to predict seizures in dogs with meningoencephalitis of unknown origin

Bibliographic Details
Title: Detection of blood‐brain barrier dysfunction using advanced imaging methods to predict seizures in dogs with meningoencephalitis of unknown origin
Authors: Erez Hanael, Shelly Baruch, Orit Chai, Zohar Nir, Kira Rapoport, Marco Ruggeri, Itzhak Eizenberg, Dana Peery, Alon Friedman, Merav H. Shamir
Source: Journal of Veterinary Internal Medicine, Vol 36, Iss 2, Pp 702-712 (2022)
Publisher Information: Wiley, 2022.
Publication Year: 2022
Collection: LCC:Veterinary medicine
Subject Terms: blood‐brain barrier, epilepsy, meningoencephalitis, Veterinary medicine, SF600-1100
More Details: Abstract Background The blood‐brain barrier (BBB), which separates the intravascular and neuropil compartments, characterizes the vascular bed of the brain and is essential for its proper function. Recent advances in imaging techniques have driven the development of methods for quantitative assessment of BBB permeability. Hypothesis/Objectives Permeability of the BBB can be assessed quantitatively in dogs with meningoencephalitis of unknown origin (MUO) and its status is associated with the occurrence of seizures. Animals Forty dogs with MUO and 12 dogs without MUO. Methods Retrospective, prospective cohort study. Both dynamic contrast enhancement (DCE) and subtraction enhancement analysis (SEA) methods were used to evaluate of BBB permeability in affected (DCE, n = 8; SEA, n = 32) and control dogs (DCE, n = 6; SEA, n = 6). Association between BBB dysfunction (BBBD) score and clinical characteristics was examined. In brain regions where BBBD was identified by DCE or SEA magnetic resonance imaging (MRI) analysis, immunofluorescent staining for albumin, glial fibrillary acidic protein, ionized calcium binding adaptor molecule, and phosphorylated mothers against decapentaplegic homolog 2 were performed to detect albumin extravasation, reactive astrocytes, activated microglia, and transforming growth factor beta signaling, respectively. Results Dogs with BBBD had significantly higher seizure prevalence (72% vs 19%; P = .01) when compared to MUO dogs with no BBBD. The addition of SEA to routine MRI evaluation increased the identification rate of brain pathology in dogs with MUO from 50% to 72%. Conclusions and Clinical Importance Imaging‐based assessment of BBB integrity has the potential to predict risk of seizures in dogs with MUO.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1939-1676
0891-6640
68687192
Relation: https://doaj.org/toc/0891-6640; https://doaj.org/toc/1939-1676
DOI: 10.1111/jvim.16396
Access URL: https://doaj.org/article/07aa60d5e93a44e686871925b8a47fad
Accession Number: edsdoj.07aa60d5e93a44e686871925b8a47fad
Database: Directory of Open Access Journals
More Details
ISSN:19391676
08916640
68687192
DOI:10.1111/jvim.16396
Published in:Journal of Veterinary Internal Medicine
Language:English