Evidence map›Paper›PMID 27943308›Full record

ArticleEpilepsia2016

Metabolic injury in a variable rat model of post-status epilepticus.

Patrice S Pearce, Yijen Wu, Amedeo Rapuano, Kevin M Kelly, Nihal de Lanerolle, Jullie W Pan

Open access · hybridAbstract read
In one paragraph

Article in Epilepsia, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

6 authors at 3 institutions in 1 country.

Patrice S PearceDepartment of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, U.S.A.
Yijen WuDepartment of Developmental Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, U.S.A.
Amedeo RapuanoDepartment of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, U.S.A.
Kevin M KellyDepartment of Neurology, Allegheny Singer Research Institute, Pittsburgh, Pennsylvania, U.S.A.
Nihal de LanerolleDepartment of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, U.S.A.
Jullie W PanDepartment of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, U.S.A.
University of Pittsburgh · USYale University · USAllegheny-Singer Research Institute · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Spectroscopic imaging of human epilepsyR01NS090417 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PAN, JULLIE W · 2014 to 2017
$2.4M
7T MR spectroscopic imaging for human epilepsyR01EB011639 · NIBIB · YALE UNIVERSITY · PI HETHERINGTON, HOBY P, PAN, JULLIE W · 2011 to 2014
$2.0M
MR spectroscopic imaging to detect the development of latent epilepsyR21NS083035 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PAN, JULLIE W · 2013 to 2014
$420k
NCATS NIH HHS UL1 TR001863NINDS NIH HHS R01 NS090417NINDS NIH HHS R21 NS083035
6 · The paper itself

Abstract

objectiveIn vivo studies of epilepsy typically use prolonged status epilepticus to generate recurrent seizures. However, reports on variable status duration have found discrete differences in injury after 40-50 min of seizures, suggesting a pathophysiologic sensitivity to seizure duration. In this report we take a multivariate cluster analysis to study a short duration status epilepticus model using in vivo 7T magnetic resonance spectroscopy (MRS) and histologic evaluation.

methodsThe Hellier Dudek model was applied with 45 min of status epilepticus after which the animals were imaged twice, at 3 days and 3 weeks post-status epilepticus. Single voxel point resolved spectroscopy (PRESS) MRS was used to acquire data from the dentate gyrus and CA3 region of the hippocampus, assessing metabolite ratios to total creatine (tCr). In a subset of animals after the second imaging study, brains were analyzed histologically by Nissl staining.

resultsA hierarchical cluster analysis performed on the 3-day data from 21 kainate-treated animals (dentate gyrus voxel) segregated into two clusters, denoted by KM (more injured, n = 6) and KL (less injured, n = 15). Although there was no difference in kainate dosing or seizure count between them, the metabolic pattern of injury was different. The KM group displayed the largest significant changes in neuronal and glial parameters; the KL group displayed milder but significant changes. At 3 weeks, the KL group returned to normal compared to controls, whereas the KM group persisted with depressed N-acetyl aspartate (NAA)/tCr, glutamate/tCr, and increased inositol/tCr and glutamine/tCr. The classification was also consistent with subsequent histologic patterns at 3 weeks. SIGNIFICANCE: Although a short status period might be expected to generate a continuous distribution of metabolic injury, these data show that the short Hellier Dudek model appears to generate two levels of injury. The changes seen in segregated groups persisted into 3 weeks, and can be interpreted according to neuronal and glial biomarkers consistent with histology results.

Indexed as

AnimalsAspartic AcidCluster AnalysisCreatineDisease Models, AnimalElectroencephalographyExcitatory Amino Acid Agonistsgamma-Aminobutyric AcidHippocampusKainic AcidMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMaleMetabolic DiseasesRatsRats, Sprague-DawleyAspartic AcidCreatineExcitatory Amino Acid Agonistsgamma-Aminobutyric AcidKainic AcidN-acetylaspartateGlutamateKainateStatus epilepticus

Identifiers

PMID27943308
PMCPMC5215597
OpenAlexW2550396171

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.