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Detection of blood‐brain barrier dysfunction using advanced imaging methods to predict seizures in dogs with meningoencephalitis of unknown origin
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 BB...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8965229/ https://www.ncbi.nlm.nih.gov/pubmed/35285550 http://dx.doi.org/10.1111/jvim.16396 |
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author | Hanael, Erez Baruch, Shelly Chai, Orit Nir, Zohar Rapoport, Kira Ruggeri, Marco Eizenberg, Itzhak Peery, Dana Friedman, Alon Shamir, Merav H. |
author_facet | Hanael, Erez Baruch, Shelly Chai, Orit Nir, Zohar Rapoport, Kira Ruggeri, Marco Eizenberg, Itzhak Peery, Dana Friedman, Alon Shamir, Merav H. |
author_sort | Hanael, Erez |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8965229 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89652292022-04-05 Detection of blood‐brain barrier dysfunction using advanced imaging methods to predict seizures in dogs with meningoencephalitis of unknown origin Hanael, Erez Baruch, Shelly Chai, Orit Nir, Zohar Rapoport, Kira Ruggeri, Marco Eizenberg, Itzhak Peery, Dana Friedman, Alon Shamir, Merav H. J Vet Intern Med SMALL ANIMAL 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. John Wiley & Sons, Inc. 2022-03-14 2022-03 /pmc/articles/PMC8965229/ /pubmed/35285550 http://dx.doi.org/10.1111/jvim.16396 Text en © 2022 The Authors. Journal of Veterinary Internal Medicine published by Wiley Periodicals LLC on behalf of American College of Veterinary Internal Medicine. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | SMALL ANIMAL Hanael, Erez Baruch, Shelly Chai, Orit Nir, Zohar Rapoport, Kira Ruggeri, Marco Eizenberg, Itzhak Peery, Dana Friedman, Alon Shamir, Merav H. Detection of blood‐brain barrier dysfunction using advanced imaging methods to predict seizures in dogs with meningoencephalitis of unknown origin |
title | Detection of blood‐brain barrier dysfunction using advanced imaging methods to predict seizures in dogs with meningoencephalitis of unknown origin |
title_full | Detection of blood‐brain barrier dysfunction using advanced imaging methods to predict seizures in dogs with meningoencephalitis of unknown origin |
title_fullStr | Detection of blood‐brain barrier dysfunction using advanced imaging methods to predict seizures in dogs with meningoencephalitis of unknown origin |
title_full_unstemmed | Detection of blood‐brain barrier dysfunction using advanced imaging methods to predict seizures in dogs with meningoencephalitis of unknown origin |
title_short | Detection of blood‐brain barrier dysfunction using advanced imaging methods to predict seizures in dogs with meningoencephalitis of unknown origin |
title_sort | detection of blood‐brain barrier dysfunction using advanced imaging methods to predict seizures in dogs with meningoencephalitis of unknown origin |
topic | SMALL ANIMAL |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8965229/ https://www.ncbi.nlm.nih.gov/pubmed/35285550 http://dx.doi.org/10.1111/jvim.16396 |
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