Evidence map›Paper›PMID 31844134›Full record

ArticleScientific reports2019

Scoring disease in an animal model of multiple sclerosis using a novel infrared-based automated activity-monitoring system.

Shailesh K Shahi, Samantha N Freedman, Rachel A Dahl, Nitin J Karandikar, Ashutosh K Mangalam

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. 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
2.0field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 25 citations in OpenAlex.

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  13. Human CommensalFrontiers in immunology · 2020
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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

5 authors at 1 institution in 1 country.

Shailesh K ShahiDepartment of Pathology, University of Iowa, Iowa City, IA, 52242, USA.
Samantha N FreedmanDepartment of Pathology, University of Iowa, Iowa City, IA, 52242, USA.
Rachel A DahlCarver College of Medicine, University of Iowa, Iowa City, IA, 52242, USA.
Nitin J KarandikarDepartment of Pathology, University of Iowa, Iowa City, IA, 52242, USA.ORCID http://orcid.org/0000-0002-6867-6950
Ashutosh K MangalamDepartment of Pathology, University of Iowa, Iowa City, IA, 52242, USA. ashutosh-mangalam@uiowa.edu.ORCID http://orcid.org/0000-0002-9926-2531
University of Iowa · US

Funding

Pulmonary Toxicology Facility CoreP30ES005605 · NIEHS · UNIVERSITY OF IOWA · PI Jong Sung Kim · 1990 to 2026
$40.5M
PREDOCTORAL TRAINING PROGRAM IN IMMUNOLOGYT32AI007485 · NIAID · UNIVERSITY OF IOWA · PI Kevin L Legge · 1995 to 2026
$5.4M
Linking diet, gut microbiota and autoimmune disease: Bacteria induced phytoestrogen metabolites impact immune function in Experimental Autoimmune EncephalitisR01AI137075 · NIAID · UNIVERSITY OF IOWA · PI MANGALAM, ASHUTOSH KUMAR · 2018 to 2022
$2.0M
BLRD VA I01 BX003677NIAID NIH HHS R01 AI137075NIAID NIH HHS T32 AI007485NIEHS NIH HHS P30 ES005605
6 · The paper itself

Abstract

Multiple sclerosis (MS) is a chronic demyelinating disorder of the central nervous system (CNS). Its corresponding animal model, experimental autoimmune encephalomyelitis (EAE), is widely used to understand disease pathogenesis and test novel therapeutic agents. However, existing methods to score EAE disease severity are subjective and often vary between individual researchers, making it difficult to translate findings across different studies. An enhanced automated method of disease scoring would eliminate subjectivity and reduce operator-dependent errors. Here, we used an Infra-Red Activity Monitoring System (IRAMS) to measure murine locomotor activity as a surrogate measure of disease severity and compared it to standard EAE scoring methods. In mice immunized with CNS-specific myelin antigens, we observed an inverse correlation between disease severity and mouse activity, with the IRAMS showing enhanced disease scoring compared to standard EAE scoring methods. Relative to standard EAE scoring methods, IRAMS showed comparable measurement of disease relapses and remissions in the SJL/J-relapsing-remitting model of EAE, and could comparably assess the therapeutic efficiency of the MS drug, Copaxone (Glatiramer acetate-GA). Thus, the IRAMS is a method to measure disease severity in EAE without subjective bias and is a tool to consistently assess the efficacy of novel therapeutic agents for MS.

Indexed as

AnimalsCentral Nervous SystemDisease Models, AnimalEncephalomyelitis, Autoimmune, ExperimentalFemaleGlatiramer AcetateHumansLocomotionMaleMiceMice, Inbred StrainsMice, TransgenicMultiple Sclerosis, Relapsing-RemittingMyelin SheathGlatiramer Acetate

Identifiers

PMID31844134
PMCPMC6915774
OpenAlexW2995604886

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.