Evidence map›Paper›PMID 27903258›Full record

ArticleBMC neuroscience2016

CatWalk gait analysis in a rat model of multiple sclerosis.

Sabine Herold, Prateek Kumar, Klaus Jung, Irina Graf, Henrike Menkhoff, Xenia Schulz, Mathias Bähr, Katharina Hein

Abstract read
In one paragraph

Article in BMC neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Clicker Training Mice for Improved Compliance in the Catwalk Test.Animals : an open access journal from MDPI · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Spatiotemporal quantification of gait in common marmosets.Journal of neuroscience methods · 2020
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
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

8 authors.

Sabine HeroldDepartment of Neurology, University Medicine Göttingen, Robert-Koch Straße 40, 37073, Göttingen, Germany.
Prateek KumarDepartment of Neurology, University Medicine Göttingen, Robert-Koch Straße 40, 37073, Göttingen, Germany.
Klaus JungDepartment of Medical Biometry and Statistical Bioinformatics, University Medicine Göttingen, Robert-Koch Straße 40, 37073, Göttingen, Germany.
Irina GrafDepartment of Neurology, University Medicine Göttingen, Robert-Koch Straße 40, 37073, Göttingen, Germany.
Henrike MenkhoffDepartment of Neurology, University Medicine Göttingen, Robert-Koch Straße 40, 37073, Göttingen, Germany.
Xenia SchulzDepartment of Medical Biometry and Statistical Bioinformatics, University Medicine Göttingen, Robert-Koch Straße 40, 37073, Göttingen, Germany.
Mathias BährDepartment of Neurology, University Medicine Göttingen, Robert-Koch Straße 40, 37073, Göttingen, Germany.
Katharina HeinDepartment of Neurology, University Medicine Göttingen, Robert-Koch Straße 40, 37073, Göttingen, Germany. k.hein@uni-goettingen.de.ORCID 0000-0002-5605-6789

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMyelin oligodendrocyte glycoprotein (MOG)-induced experimental autoimmune encephalomyelitis (EAE) is a widely used animal model for multiple sclerosis. The characteristic feature of the MOG-EAE model in Brown Norway rats is consistent involvement of the spinal cord resulting in limb paresis. The aim of the study was to investigate whether early subclinical gait abnormalities are present in this animal model and can be detected by CatWalk XT, a fully automated gait analysis system. Furthermore, we investigated the usability of CatWalk system for treatment studies.

resultsOur gait analysis showed no preclinical abnormalities in MOG-EAE animals. Nevertheless, we characterized a combination of gait parameters that display a high predictive capacity in regard to disease onset. Our detailed histopathological analysis of the spinal cord revealed that lesion formation starts in the lumbar region and propagates toward the cervical part of the spinal cord during the disease course. In the treatment study, the stabilization of gait parameters under the treatment with methylprednisolone was detected in CatWalk as well as in traditional EAE-scoring system.

conclusionsThe results from CatWalk test indicate no benefit of lab-intensive automated gait system in EAE-model with chronic-progressive disease course as well as in therapeutic studies with pronounced effect on the severity of clinical symptoms. However, due to its quantitative and objective nature this system may display a refined test to detect small but functional relevant changes in regeneration-orientated studies.

Indexed as

GaitAnimalsAnti-Inflammatory AgentsArea Under CurveAutomation, LaboratoryBiomechanical PhenomenaDisease ProgressionEncephalomyelitis, Autoimmune, ExperimentalFemaleFunctional LateralityImmunohistochemistryLogistic ModelsMethylprednisoloneRandom AllocationRatsSpinal CordAnti-Inflammatory AgentsMethylprednisoloneBehavioral testCatWalkCortisonExperimental autoimmune encephalomyelitisMultiple sclerosisSpinal cord

Identifiers

PMID27903258
PMCPMC5131412

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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.