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Evaluation of the Zucker Diabetic Fatty (ZDF) Rat as a Model for Human Disease Based on Urinary Peptidomic Profiles

Representative animal models for diabetes-associated vascular complications are extremely relevant in assessing potential therapeutic drugs. While several rodent models for type 2 diabetes (T2D) are available, their relevance in recapitulating renal and cardiovascular features of diabetes in man is...

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Autores principales: Siwy, Justyna, Zoja, Carlamaria, Klein, Julie, Benigni, Ariela, Mullen, Wiliam, Mayer, Bernd, Mischak, Harald, Jankowski, Joachim, Stevens, Robert, Vlahou, Antonia, Kossida, Sophia, Perco, Paul, Bahlmann, Ferdinand H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3517416/
https://www.ncbi.nlm.nih.gov/pubmed/23236474
http://dx.doi.org/10.1371/journal.pone.0051334
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author Siwy, Justyna
Zoja, Carlamaria
Klein, Julie
Benigni, Ariela
Mullen, Wiliam
Mayer, Bernd
Mischak, Harald
Jankowski, Joachim
Stevens, Robert
Vlahou, Antonia
Kossida, Sophia
Perco, Paul
Bahlmann, Ferdinand H.
author_facet Siwy, Justyna
Zoja, Carlamaria
Klein, Julie
Benigni, Ariela
Mullen, Wiliam
Mayer, Bernd
Mischak, Harald
Jankowski, Joachim
Stevens, Robert
Vlahou, Antonia
Kossida, Sophia
Perco, Paul
Bahlmann, Ferdinand H.
author_sort Siwy, Justyna
collection PubMed
description Representative animal models for diabetes-associated vascular complications are extremely relevant in assessing potential therapeutic drugs. While several rodent models for type 2 diabetes (T2D) are available, their relevance in recapitulating renal and cardiovascular features of diabetes in man is not entirely clear. Here we evaluate at the molecular level the similarity between Zucker diabetic fatty (ZDF) rats, as a model of T2D-associated vascular complications, and human disease by urinary proteome analysis. Urine analysis of ZDF rats at early and late stages of disease compared to age- matched LEAN rats identified 180 peptides as potentially associated with diabetes complications. Overlaps with human chronic kidney disease (CKD) and cardiovascular disease (CVD) biomarkers were observed, corresponding to proteins marking kidney damage (eg albumin, alpha-1 antitrypsin) or related to disease development (collagen). Concordance in regulation of these peptides in rats versus humans was more pronounced in the CVD compared to the CKD panels. In addition, disease-associated predicted protease activities in ZDF rats showed higher similarities to the predicted activities in human CVD. Based on urinary peptidomic analysis, the ZDF rat model displays similarity to human CVD but might not be the most appropriate model to display human CKD on a molecular level.
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spelling pubmed-35174162012-12-12 Evaluation of the Zucker Diabetic Fatty (ZDF) Rat as a Model for Human Disease Based on Urinary Peptidomic Profiles Siwy, Justyna Zoja, Carlamaria Klein, Julie Benigni, Ariela Mullen, Wiliam Mayer, Bernd Mischak, Harald Jankowski, Joachim Stevens, Robert Vlahou, Antonia Kossida, Sophia Perco, Paul Bahlmann, Ferdinand H. PLoS One Research Article Representative animal models for diabetes-associated vascular complications are extremely relevant in assessing potential therapeutic drugs. While several rodent models for type 2 diabetes (T2D) are available, their relevance in recapitulating renal and cardiovascular features of diabetes in man is not entirely clear. Here we evaluate at the molecular level the similarity between Zucker diabetic fatty (ZDF) rats, as a model of T2D-associated vascular complications, and human disease by urinary proteome analysis. Urine analysis of ZDF rats at early and late stages of disease compared to age- matched LEAN rats identified 180 peptides as potentially associated with diabetes complications. Overlaps with human chronic kidney disease (CKD) and cardiovascular disease (CVD) biomarkers were observed, corresponding to proteins marking kidney damage (eg albumin, alpha-1 antitrypsin) or related to disease development (collagen). Concordance in regulation of these peptides in rats versus humans was more pronounced in the CVD compared to the CKD panels. In addition, disease-associated predicted protease activities in ZDF rats showed higher similarities to the predicted activities in human CVD. Based on urinary peptidomic analysis, the ZDF rat model displays similarity to human CVD but might not be the most appropriate model to display human CKD on a molecular level. Public Library of Science 2012-12-07 /pmc/articles/PMC3517416/ /pubmed/23236474 http://dx.doi.org/10.1371/journal.pone.0051334 Text en © 2012 Siwy et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Siwy, Justyna
Zoja, Carlamaria
Klein, Julie
Benigni, Ariela
Mullen, Wiliam
Mayer, Bernd
Mischak, Harald
Jankowski, Joachim
Stevens, Robert
Vlahou, Antonia
Kossida, Sophia
Perco, Paul
Bahlmann, Ferdinand H.
Evaluation of the Zucker Diabetic Fatty (ZDF) Rat as a Model for Human Disease Based on Urinary Peptidomic Profiles
title Evaluation of the Zucker Diabetic Fatty (ZDF) Rat as a Model for Human Disease Based on Urinary Peptidomic Profiles
title_full Evaluation of the Zucker Diabetic Fatty (ZDF) Rat as a Model for Human Disease Based on Urinary Peptidomic Profiles
title_fullStr Evaluation of the Zucker Diabetic Fatty (ZDF) Rat as a Model for Human Disease Based on Urinary Peptidomic Profiles
title_full_unstemmed Evaluation of the Zucker Diabetic Fatty (ZDF) Rat as a Model for Human Disease Based on Urinary Peptidomic Profiles
title_short Evaluation of the Zucker Diabetic Fatty (ZDF) Rat as a Model for Human Disease Based on Urinary Peptidomic Profiles
title_sort evaluation of the zucker diabetic fatty (zdf) rat as a model for human disease based on urinary peptidomic profiles
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3517416/
https://www.ncbi.nlm.nih.gov/pubmed/23236474
http://dx.doi.org/10.1371/journal.pone.0051334
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