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...
Main Authors: | , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2017-02-01
|
Series: | Data in Brief |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340916307375 |
_version_ | 1819077989396119552 |
---|---|
author | 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 |
author_facet | 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 |
author_sort | Jacqueline F. Aitken |
collection | DOAJ |
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]. |
first_indexed | 2024-12-21T19:05:58Z |
format | Article |
id | doaj.art-ee8832a3f4504ef08e14d33f38461e8b |
institution | Directory Open Access Journal |
issn | 2352-3409 |
language | English |
last_indexed | 2024-12-21T19:05:58Z |
publishDate | 2017-02-01 |
publisher | Elsevier |
record_format | Article |
series | Data in Brief |
spelling | doaj.art-ee8832a3f4504ef08e14d33f38461e8b2022-12-21T18:53:21ZengElsevierData in Brief2352-34092017-02-0110C29830310.1016/j.dib.2016.11.077Quantitative data describing the impact of the flavonol rutin on in-vivo blood-glucose and fluid-intake profiles, and survival of human-amylin transgenic miceJacqueline F. Aitken0Kerry M. Loomes1Isabel Riba-Garcia2Richard D. Unwin3Gordana Prijic4Ashley S. Phillips5Anthony R.J. Phillips6Donghai Wu7Sally D. Poppitt8Ke Ding9Perdita E. Barran10Andrew W. Dowsey11Garth J.S. Cooper12School of Biological Sciences, University of Auckland, New ZealandSchool of Biological Sciences, University of Auckland, New ZealandCentre for Advanced Discovery and Experimental Therapeutics, CMFT, Manchester Academic Health Sciences Centre, and Institute of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UKCentre for Advanced Discovery and Experimental Therapeutics, CMFT, Manchester Academic Health Sciences Centre, and Institute of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UKSchool of Biological Sciences, University of Auckland, New ZealandMichael Barber Centre for Collaborative Mass Spectrometry, Manchester Institute of Biotechnology, University of Manchester, UKSchool of Biological Sciences, University of Auckland, New ZealandKey Laboratory of Regenerative Biology and Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, ChinaSchool of Biological Sciences, University of Auckland, New ZealandCollege of Pharmacy, Jinan University, Guangzhou, ChinaMichael Barber Centre for Collaborative Mass Spectrometry, Manchester Institute of Biotechnology, University of Manchester, UKCentre for Advanced Discovery and Experimental Therapeutics, CMFT, Manchester Academic Health Sciences Centre, and Institute of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UKSchool of Biological Sciences, University of Auckland, New ZealandHere 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].http://www.sciencedirect.com/science/article/pii/S2352340916307375 |
spellingShingle | 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 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 Data in Brief |
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 |
url | http://www.sciencedirect.com/science/article/pii/S2352340916307375 |
work_keys_str_mv | AT jacquelinefaitken quantitativedatadescribingtheimpactoftheflavonolrutinoninvivobloodglucoseandfluidintakeprofilesandsurvivalofhumanamylintransgenicmice AT kerrymloomes quantitativedatadescribingtheimpactoftheflavonolrutinoninvivobloodglucoseandfluidintakeprofilesandsurvivalofhumanamylintransgenicmice AT isabelribagarcia quantitativedatadescribingtheimpactoftheflavonolrutinoninvivobloodglucoseandfluidintakeprofilesandsurvivalofhumanamylintransgenicmice AT richarddunwin quantitativedatadescribingtheimpactoftheflavonolrutinoninvivobloodglucoseandfluidintakeprofilesandsurvivalofhumanamylintransgenicmice AT gordanaprijic quantitativedatadescribingtheimpactoftheflavonolrutinoninvivobloodglucoseandfluidintakeprofilesandsurvivalofhumanamylintransgenicmice AT ashleysphillips quantitativedatadescribingtheimpactoftheflavonolrutinoninvivobloodglucoseandfluidintakeprofilesandsurvivalofhumanamylintransgenicmice AT anthonyrjphillips quantitativedatadescribingtheimpactoftheflavonolrutinoninvivobloodglucoseandfluidintakeprofilesandsurvivalofhumanamylintransgenicmice AT donghaiwu quantitativedatadescribingtheimpactoftheflavonolrutinoninvivobloodglucoseandfluidintakeprofilesandsurvivalofhumanamylintransgenicmice AT sallydpoppitt quantitativedatadescribingtheimpactoftheflavonolrutinoninvivobloodglucoseandfluidintakeprofilesandsurvivalofhumanamylintransgenicmice AT keding quantitativedatadescribingtheimpactoftheflavonolrutinoninvivobloodglucoseandfluidintakeprofilesandsurvivalofhumanamylintransgenicmice AT perditaebarran quantitativedatadescribingtheimpactoftheflavonolrutinoninvivobloodglucoseandfluidintakeprofilesandsurvivalofhumanamylintransgenicmice AT andrewwdowsey quantitativedatadescribingtheimpactoftheflavonolrutinoninvivobloodglucoseandfluidintakeprofilesandsurvivalofhumanamylintransgenicmice AT garthjscooper quantitativedatadescribingtheimpactoftheflavonolrutinoninvivobloodglucoseandfluidintakeprofilesandsurvivalofhumanamylintransgenicmice |