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dc.contributor.authorAbeyratne, Eranga
dc.contributor.authorReshamwala, Ronak
dc.contributor.authorShelper, Todd
dc.contributor.authorLiu, Xiang
dc.contributor.authorZaid, Ali
dc.contributor.authorMahalingam, Suresh
dc.contributor.authorTaylor, Adam
dc.date.accessioned2021-10-05T23:07:49Z
dc.date.available2021-10-05T23:07:49Z
dc.date.issued2021
dc.identifier.issn2379-5042
dc.identifier.doi10.1128/mSphere.00659-21
dc.identifier.urihttp://hdl.handle.net/10072/408573
dc.description.abstractInfection with mosquito-borne arthritogenic alphaviruses, such as Ross River virus (RRV) and Barmah Forest virus (BFV), can lead to long-lasting rheumatic disease. Existing mouse models that recapitulate the disease signs and immunopathogenesis of acute RRV and BFV infection have consistently shown relevance to human disease. However, these mouse models, which chiefly model hindlimb dysfunction, may be prone to subjective interpretation when scoring disease. Assessment is therefore time-consuming and requires experienced users. The DigiGait system provides video-based measurements of movement, behavior, and gait dynamics in mice and small animals. Previous studies have shown DigiGait to be a reliable system to objectively quantify changes in gait in other models of pain and inflammation. Here, for the first time, we determine measurable differences in the gait of mice with infectious arthritis using the DigiGait system. Statistically significant differences in paw area and paw angle were detected during peak disease in RRV-infected mice. Significant differences in temporal gait parameters were also identified during the period of peak disease in RRV-infected mice. These trends were less obvious or absent in BFV-infected mice, which typically present with milder disease signs than RRV-infected mice. The DigiGait system therefore provides an objective model of variations in gait dynamics in mice acutely infected with RRV. DigiGait is likely to have further utility for murine models that develop severe forms of infectious arthritis resulting in hindlimb dysfunction like RRV. IMPORTANCE Mouse models that accurately replicate the immunopathogenesis and clinical disease of alphavirus infection are vital to the preclinical development of therapeutic strategies that target alphavirus infection and disease. Current models rely on subjective scoring made through experienced observation of infected mice. Here, we demonstrate how the DigiGait system, and interventions on mice to use this system, can make an efficient objective assessment of acute disease progression and changes in gait in alphavirus-infected mice. Our study highlights the importance of measuring gait parameters in the assessment of models of infectious arthritis.
dc.description.peerreviewedYes
dc.languageeng
dc.publisherAmerican Society for Microbiology
dc.relation.ispartofpagefrome00659-21
dc.relation.ispartofjournalmSphere
dc.relation.urihttp://purl.org/au-research/grants/NHMRC/GNT1122897
dc.relation.grantIDGNT1122897
dc.relation.fundersNHMRC
dc.subject.fieldofresearchVirology
dc.subject.fieldofresearchMicrobiology
dc.subject.fieldofresearchcode310706
dc.subject.fieldofresearchcode3107
dc.subject.keywordsBarmah Forest virus
dc.subject.keywordsRoss River virus
dc.subject.keywordsalphavirus
dc.subject.keywordsarbovirus
dc.subject.keywordsgait
dc.titleAltered Spatial and Temporal Gait Parameters in Mice Infected with Ross River Virus
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationAbeyratne, E; Reshamwala, R; Shelper, T; Liu, X; Zaid, A; Mahalingam, S; Taylor, A, Altered Spatial and Temporal Gait Parameters in Mice Infected with Ross River Virus., mSphere, 2021, pp. e00659-21
dcterms.licensehttps://creativecommons.org/licenses/by/4.0/
dc.date.updated2021-10-05T21:40:05Z
dc.description.versionVersion of Record (VoR)
gro.description.notepublicThis publication has been entered in Griffith Research Online as an advanced online version.
gro.rights.copyright© 2021 Abeyratne et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
gro.hasfulltextFull Text
gro.griffith.authorMahalingam, Suresh
gro.griffith.authorReshamwala, Ronak S.
gro.griffith.authorLiu, Xiang


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