Evidence map›Paper›PMID 35285550›Full record

ArticleJournal of veterinary internal medicine2022

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

Erez Hanael, Shelly Baruch, Orit Chai, Zohar Nir, Kira Rapoport, Marco Ruggeri, Itzhak Eizenberg, Dana Peery, Alon Friedman, Merav H Shamir

Open access · goldAbstract read
In one paragraph

Article in Journal of veterinary internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 2 countries.

Erez HanaelHebrew University Koret School of Veterinary Medicine-Veterinary Teaching Hospital, Rehovot, Israel.ORCID https://orcid.org/0000-0003-1284-895X
Shelly BaruchHebrew University Koret School of Veterinary Medicine-Veterinary Teaching Hospital, Rehovot, Israel.
Orit ChaiHebrew University Koret School of Veterinary Medicine-Veterinary Teaching Hospital, Rehovot, Israel.
Zohar NirHebrew University Koret School of Veterinary Medicine-Veterinary Teaching Hospital, Rehovot, Israel.
Kira RapoportHebrew University Koret School of Veterinary Medicine-Veterinary Teaching Hospital, Rehovot, Israel.
Marco RuggeriHebrew University Koret School of Veterinary Medicine-Veterinary Teaching Hospital, Rehovot, Israel.ORCID https://orcid.org/0000-0002-0150-8178
Itzhak EizenbergHebrew University Koret School of Veterinary Medicine-Veterinary Teaching Hospital, Rehovot, Israel.
Dana PeeryHebrew University Koret School of Veterinary Medicine-Veterinary Teaching Hospital, Rehovot, Israel.
Alon FriedmanDepartments of Physiology and Cell Biology, Brain, and Cognitive Sciences, Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer Sheva, Israel.
Merav H ShamirHebrew University Koret School of Veterinary Medicine-Veterinary Teaching Hospital, Rehovot, Israel.ORCID https://orcid.org/0000-0002-4698-5373
Hebrew University of Jerusalem · ILBen-Gurion University of the Negev · IL

Funding

Israeli Science Foundation (ISF) 717-15
6 · The paper itself

Abstract

backgroundThe 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/

objectivesPermeability 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.

methodsRetrospective, 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.

resultsDogs 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.

Indexed as

Dog DiseasesMeningoencephalitisAnimalsBlood-Brain BarrierDogsHumansMagnetic Resonance ImagingProspective StudiesRetrospective StudiesSeizuresblood-brain barrierepilepsymeningoencephalitis

Identifiers

PMID35285550
PMCPMC8965229
OpenAlexW4220719801

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.