Evidence map›Paper›PMID 30335759›Full record

ArticlePLoS biology2018

Running in the wheel: Defining individual severity levels in mice.

Christine Häger, Lydia M Keubler, Steven R Talbot, Svenja Biernot, Nora Weegh, Stephanie Buchheister, Manuela Buettner, Silke Glage, André Bleich

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
8.8field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 76 citations in OpenAlex.

  1. Pooled it
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  16. Grimace scale assessment duringFrontiers in veterinary science · 2023
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  17. Article
  18. Refinement in the European Union: A Systematic Review.Animals : an open access journal from MDPI · 2022
    Review
  19. Animals : an open access journal from MDPI · 2022
    Article
  20. 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

9 authors at 1 institution in 1 country.

Christine HägerInstitute for Laboratory Animal Science, Hannover Medical School, Hannover, Germany.ORCID 0000-0002-6971-9780
Lydia M KeublerInstitute for Laboratory Animal Science, Hannover Medical School, Hannover, Germany.
Steven R TalbotInstitute for Laboratory Animal Science, Hannover Medical School, Hannover, Germany.
Svenja BiernotInstitute for Laboratory Animal Science, Hannover Medical School, Hannover, Germany.
Nora WeeghInstitute for Laboratory Animal Science, Hannover Medical School, Hannover, Germany.
Stephanie BuchheisterInstitute for Laboratory Animal Science, Hannover Medical School, Hannover, Germany.
Manuela BuettnerInstitute for Laboratory Animal Science, Hannover Medical School, Hannover, Germany.
Silke GlageInstitute for Laboratory Animal Science, Hannover Medical School, Hannover, Germany.
André BleichInstitute for Laboratory Animal Science, Hannover Medical School, Hannover, Germany.
Medizinische Hochschule Hannover · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fine-scale grading of the severity experienced by animals used in research constitutes a key element of the 3Rs (replace, reduce, and refine) principles and a legal requirement in the European Union Directive 2010/63/EU. Particularly, the exact assessment of all signs of pain, suffering, and distress experienced by laboratory animals represents a prerequisite to develop refinement strategies. However, minimal and noninvasive methods for an evidence-based severity assessment are scarce. Therefore, we investigated whether voluntary wheel running (VWR) provides an observer-independent behaviour-centred approach to grade severity experienced by C57BL/6J mice undergoing various treatments. In a mouse model of chemically induced acute colitis, VWR behaviour was directly related to colitis severity, whereas clinical scoring did not sensitively reflect severity but rather indicated marginal signs of compromised welfare. Unsupervised k-means algorithm-based cluster analysis of body weight and VWR data enabled the discrimination of cluster borders and distinct levels of severity. The validity of the cluster analysis was affirmed in a mouse model of acute restraint stress. This method was also applicable to uncover and grade the impact of serial blood sampling on the animal's welfare, underlined by increased histological scores in the colitis model. To reflect the entirety of severity in a multidimensional model, the presented approach may have to be calibrated and validated in other animal models requiring the integration of further parameters. In this experimental set up, however, the automated assessment of an emotional/motivational driven behaviour and subsequent integration of the data into a mathematical model enabled unbiased individual severity grading in laboratory mice, thereby providing an essential contribution to the 3Rs principles.

Indexed as

AnimalsAnimal WelfareCluster AnalysisColitisDisease Models, AnimalFemaleMaleMiceMice, Inbred C57BLMotor ActivityPhysical Conditioning, AnimalRunningStress, Psychological

Identifiers

PMID30335759
PMCPMC6193607
OpenAlexW2896470196

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.