Skip to main navigation Skip to search Skip to main content

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

  • Jacqueline F. Aitken
  • , Kerry M. Loomes
  • , Isabel Riba-Garcia
  • , Richard D. Unwin
  • , Gordana Prijic
  • , Ashley S. Phillips
  • , Anthony R.J. Phillips
  • , Donghai Wu
  • , Sally D. Poppitt
  • , Ke Ding
  • , Perdita E. Barran
  • , Andrew W Dowsey
  • , Garth J S Cooper*
  • *Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

2 Citations (Scopus)
1497 Downloads (Pure)

Abstract

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].
Original languageEnglish
Pages (from-to)298-303
Number of pages6
JournalData in Brief
Volume10
Early online date29 Nov 2016
DOIs
Publication statusPublished - Feb 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Fingerprint

Dive into the research topics of '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'. Together they form a unique fingerprint.

Cite this