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Quantitative data describing the impact of the flavonol rutin on in-vivo blood-glucose and fluid-intake profiles, and survival of human-amylin transgenic mice

Here we provide data describing the time-course of blood-glucose and fluid-intake profiles of diabetic hemizygous human-amylin (hA) transgenic mice orally treated with rutin, and matched control mice treated with water. We employed “parametric change-point regression analysis” for investigation of d...

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Autores principales: Aitken, Jacqueline F., Loomes, Kerry M., Riba-Garcia, Isabel, Unwin, Richard D., Prijic, Gordana, Phillips, Ashley S., Phillips, Anthony R.J., Wu, Donghai, Poppitt, Sally D., Ding, Ke, Barran, Perdita E., Dowsey, Andrew W., Cooper, Garth J.S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5156598/
https://www.ncbi.nlm.nih.gov/pubmed/27995166
http://dx.doi.org/10.1016/j.dib.2016.11.077
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author Aitken, Jacqueline F.
Loomes, Kerry M.
Riba-Garcia, Isabel
Unwin, Richard D.
Prijic, Gordana
Phillips, Ashley S.
Phillips, Anthony R.J.
Wu, Donghai
Poppitt, Sally D.
Ding, Ke
Barran, Perdita E.
Dowsey, Andrew W.
Cooper, Garth J.S.
author_facet Aitken, Jacqueline F.
Loomes, Kerry M.
Riba-Garcia, Isabel
Unwin, Richard D.
Prijic, Gordana
Phillips, Ashley S.
Phillips, Anthony R.J.
Wu, Donghai
Poppitt, Sally D.
Ding, Ke
Barran, Perdita E.
Dowsey, Andrew W.
Cooper, Garth J.S.
author_sort Aitken, Jacqueline F.
collection PubMed
description Here we provide data describing the time-course of blood-glucose and fluid-intake profiles of diabetic hemizygous human-amylin (hA) transgenic mice orally treated with rutin, and matched control mice treated with water. We employed “parametric change-point regression analysis” for investigation of differences in time-course profiles between the control and rutin-treatment groups to extract, for each animal, baseline levels of blood glucose and fluid-intake, the change-point time at which blood glucose (diabetes-onset) and fluid-intake (polydipsia-onset) accelerated away from baseline, and the rate of this acceleration. The parametric change-point regression approach applied here allowed a much more accurate determination of the exact time of onset of diabetes than do the standard diagnostic criteria. These data are related to the article entitled “Rutin suppresses human-amylin/hIAPP misfolding and oligomer formation in-vitro, and ameliorates diabetes and its impacts in human-amylin/hIAPP transgenic mice” (J.F. Aitken, K.M. Loomes, I. Riba-Garcia, R.D. Unwin, G. Prijic, A.S. Phillips, A.R.J. Phillips, D. Wu, S.D. Poppitt, K. Ding, P.E. Barran, A.W. Dowsey, G.J.S. Cooper. 2016) [1].
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spelling pubmed-51565982016-12-19 Quantitative data describing the impact of the flavonol rutin on in-vivo blood-glucose and fluid-intake profiles, and survival of human-amylin transgenic mice Aitken, Jacqueline F. Loomes, Kerry M. Riba-Garcia, Isabel Unwin, Richard D. Prijic, Gordana Phillips, Ashley S. Phillips, Anthony R.J. Wu, Donghai Poppitt, Sally D. Ding, Ke Barran, Perdita E. Dowsey, Andrew W. Cooper, Garth J.S. Data Brief Data Article Here we provide data describing the time-course of blood-glucose and fluid-intake profiles of diabetic hemizygous human-amylin (hA) transgenic mice orally treated with rutin, and matched control mice treated with water. We employed “parametric change-point regression analysis” for investigation of differences in time-course profiles between the control and rutin-treatment groups to extract, for each animal, baseline levels of blood glucose and fluid-intake, the change-point time at which blood glucose (diabetes-onset) and fluid-intake (polydipsia-onset) accelerated away from baseline, and the rate of this acceleration. The parametric change-point regression approach applied here allowed a much more accurate determination of the exact time of onset of diabetes than do the standard diagnostic criteria. These data are related to the article entitled “Rutin suppresses human-amylin/hIAPP misfolding and oligomer formation in-vitro, and ameliorates diabetes and its impacts in human-amylin/hIAPP transgenic mice” (J.F. Aitken, K.M. Loomes, I. Riba-Garcia, R.D. Unwin, G. Prijic, A.S. Phillips, A.R.J. Phillips, D. Wu, S.D. Poppitt, K. Ding, P.E. Barran, A.W. Dowsey, G.J.S. Cooper. 2016) [1]. Elsevier 2016-11-29 /pmc/articles/PMC5156598/ /pubmed/27995166 http://dx.doi.org/10.1016/j.dib.2016.11.077 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Aitken, Jacqueline F.
Loomes, Kerry M.
Riba-Garcia, Isabel
Unwin, Richard D.
Prijic, Gordana
Phillips, Ashley S.
Phillips, Anthony R.J.
Wu, Donghai
Poppitt, Sally D.
Ding, Ke
Barran, Perdita E.
Dowsey, Andrew W.
Cooper, Garth J.S.
Quantitative data describing the impact of the flavonol rutin on in-vivo blood-glucose and fluid-intake profiles, and survival of human-amylin transgenic mice
title Quantitative data describing the impact of the flavonol rutin on in-vivo blood-glucose and fluid-intake profiles, and survival of human-amylin transgenic mice
title_full Quantitative data describing the impact of the flavonol rutin on in-vivo blood-glucose and fluid-intake profiles, and survival of human-amylin transgenic mice
title_fullStr Quantitative data describing the impact of the flavonol rutin on in-vivo blood-glucose and fluid-intake profiles, and survival of human-amylin transgenic mice
title_full_unstemmed Quantitative data describing the impact of the flavonol rutin on in-vivo blood-glucose and fluid-intake profiles, and survival of human-amylin transgenic mice
title_short Quantitative data describing the impact of the flavonol rutin on in-vivo blood-glucose and fluid-intake profiles, and survival of human-amylin transgenic mice
title_sort quantitative data describing the impact of the flavonol rutin on in-vivo blood-glucose and fluid-intake profiles, and survival of human-amylin transgenic mice
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5156598/
https://www.ncbi.nlm.nih.gov/pubmed/27995166
http://dx.doi.org/10.1016/j.dib.2016.11.077
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