A translational approach to capture gait signatures of neurological disorders in mice and humans

Abstract A method for capturing gait signatures in neurological conditions that allows comparison of human gait with animal models would be of great value in translational research. However, the velocity dependence of gait parameters and differences between quadruped and biped gait have made this co...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Lauren Broom, Brian A. Ellison, Audrey Worley, Lara Wagenaar, Elina Sörberg, Christine Ashton, David A. Bennett, Aron S. Buchman, Clifford B. Saper, Ludy C. Shih, Jeffrey M. Hausdorff, Veronique G. VanderHorst
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a035fb9a91b548bf8c8a6671da5ab5b3
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:a035fb9a91b548bf8c8a6671da5ab5b3
record_format	dspace
spelling	oai:doaj.org-article:a035fb9a91b548bf8c8a6671da5ab5b32021-12-02T15:05:58ZA translational approach to capture gait signatures of neurological disorders in mice and humans10.1038/s41598-017-03336-12045-2322https://doaj.org/article/a035fb9a91b548bf8c8a6671da5ab5b32017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-03336-1https://doaj.org/toc/2045-2322Abstract A method for capturing gait signatures in neurological conditions that allows comparison of human gait with animal models would be of great value in translational research. However, the velocity dependence of gait parameters and differences between quadruped and biped gait have made this comparison challenging. Here we present an approach that accounts for changes in velocity during walking and allows for translation across species. In mice, we represented spatial and temporal gait parameters as a function of velocity and established regression models that reproducibly capture the signatures of these relationships during walking. In experimental parkinsonism models, regression curves representing these relationships shifted from baseline, implicating changes in gait signatures, but with marked differences between models. Gait parameters in healthy human subjects followed similar strict velocity dependent relationships which were altered in Parkinson’s patients in ways that resemble some but not all mouse models. This novel approach is suitable to quantify qualitative walking abnormalities related to CNS circuit dysfunction across species, identify appropriate animal models, and it provides important translational opportunities.Lauren BroomBrian A. EllisonAudrey WorleyLara WagenaarElina SörbergChristine AshtonDavid A. BennettAron S. BuchmanClifford B. SaperLudy C. ShihJeffrey M. HausdorffVeronique G. VanderHorstNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-17 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Lauren Broom Brian A. Ellison Audrey Worley Lara Wagenaar Elina Sörberg Christine Ashton David A. Bennett Aron S. Buchman Clifford B. Saper Ludy C. Shih Jeffrey M. Hausdorff Veronique G. VanderHorst A translational approach to capture gait signatures of neurological disorders in mice and humans
description	Abstract A method for capturing gait signatures in neurological conditions that allows comparison of human gait with animal models would be of great value in translational research. However, the velocity dependence of gait parameters and differences between quadruped and biped gait have made this comparison challenging. Here we present an approach that accounts for changes in velocity during walking and allows for translation across species. In mice, we represented spatial and temporal gait parameters as a function of velocity and established regression models that reproducibly capture the signatures of these relationships during walking. In experimental parkinsonism models, regression curves representing these relationships shifted from baseline, implicating changes in gait signatures, but with marked differences between models. Gait parameters in healthy human subjects followed similar strict velocity dependent relationships which were altered in Parkinson’s patients in ways that resemble some but not all mouse models. This novel approach is suitable to quantify qualitative walking abnormalities related to CNS circuit dysfunction across species, identify appropriate animal models, and it provides important translational opportunities.
format	article
author	Lauren Broom Brian A. Ellison Audrey Worley Lara Wagenaar Elina Sörberg Christine Ashton David A. Bennett Aron S. Buchman Clifford B. Saper Ludy C. Shih Jeffrey M. Hausdorff Veronique G. VanderHorst
author_facet	Lauren Broom Brian A. Ellison Audrey Worley Lara Wagenaar Elina Sörberg Christine Ashton David A. Bennett Aron S. Buchman Clifford B. Saper Ludy C. Shih Jeffrey M. Hausdorff Veronique G. VanderHorst
author_sort	Lauren Broom
title	A translational approach to capture gait signatures of neurological disorders in mice and humans
title_short	A translational approach to capture gait signatures of neurological disorders in mice and humans
title_full	A translational approach to capture gait signatures of neurological disorders in mice and humans
title_fullStr	A translational approach to capture gait signatures of neurological disorders in mice and humans
title_full_unstemmed	A translational approach to capture gait signatures of neurological disorders in mice and humans
title_sort	translational approach to capture gait signatures of neurological disorders in mice and humans
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/a035fb9a91b548bf8c8a6671da5ab5b3
work_keys_str_mv	AT laurenbroom atranslationalapproachtocapturegaitsignaturesofneurologicaldisordersinmiceandhumans AT brianaellison atranslationalapproachtocapturegaitsignaturesofneurologicaldisordersinmiceandhumans AT audreyworley atranslationalapproachtocapturegaitsignaturesofneurologicaldisordersinmiceandhumans AT larawagenaar atranslationalapproachtocapturegaitsignaturesofneurologicaldisordersinmiceandhumans AT elinasorberg atranslationalapproachtocapturegaitsignaturesofneurologicaldisordersinmiceandhumans AT christineashton atranslationalapproachtocapturegaitsignaturesofneurologicaldisordersinmiceandhumans AT davidabennett atranslationalapproachtocapturegaitsignaturesofneurologicaldisordersinmiceandhumans AT aronsbuchman atranslationalapproachtocapturegaitsignaturesofneurologicaldisordersinmiceandhumans AT cliffordbsaper atranslationalapproachtocapturegaitsignaturesofneurologicaldisordersinmiceandhumans AT ludycshih atranslationalapproachtocapturegaitsignaturesofneurologicaldisordersinmiceandhumans AT jeffreymhausdorff atranslationalapproachtocapturegaitsignaturesofneurologicaldisordersinmiceandhumans AT veroniquegvanderhorst atranslationalapproachtocapturegaitsignaturesofneurologicaldisordersinmiceandhumans AT laurenbroom translationalapproachtocapturegaitsignaturesofneurologicaldisordersinmiceandhumans AT brianaellison translationalapproachtocapturegaitsignaturesofneurologicaldisordersinmiceandhumans AT audreyworley translationalapproachtocapturegaitsignaturesofneurologicaldisordersinmiceandhumans AT larawagenaar translationalapproachtocapturegaitsignaturesofneurologicaldisordersinmiceandhumans AT elinasorberg translationalapproachtocapturegaitsignaturesofneurologicaldisordersinmiceandhumans AT christineashton translationalapproachtocapturegaitsignaturesofneurologicaldisordersinmiceandhumans AT davidabennett translationalapproachtocapturegaitsignaturesofneurologicaldisordersinmiceandhumans AT aronsbuchman translationalapproachtocapturegaitsignaturesofneurologicaldisordersinmiceandhumans AT cliffordbsaper translationalapproachtocapturegaitsignaturesofneurologicaldisordersinmiceandhumans AT ludycshih translationalapproachtocapturegaitsignaturesofneurologicaldisordersinmiceandhumans AT jeffreymhausdorff translationalapproachtocapturegaitsignaturesofneurologicaldisordersinmiceandhumans AT veroniquegvanderhorst translationalapproachtocapturegaitsignaturesofneurologicaldisordersinmiceandhumans
_version_	1718388662075392000

A translational approach to capture gait signatures of neurological disorders in mice and humans

Ejemplares similares