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NMR metabolomics identifies over 60 biomarkers associated with Type II Diabetes impairment in db/db mice
INTRODUCTION: The rapid expansion of Type 2 Diabetes (T2D), that currently affects 90% of people suffering from diabetes, urges us to develop a better understanding of the metabolic processes involved in the disease process in order to develop better therapies. The most commonly used model for T2D r...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6556514/ https://www.ncbi.nlm.nih.gov/pubmed/31179513 http://dx.doi.org/10.1007/s11306-019-1548-8 |
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author | Mora-Ortiz, Marina Nuñez Ramos, Patricia Oregioni, Alain Claus, Sandrine P. |
author_facet | Mora-Ortiz, Marina Nuñez Ramos, Patricia Oregioni, Alain Claus, Sandrine P. |
author_sort | Mora-Ortiz, Marina |
collection | PubMed |
description | INTRODUCTION: The rapid expansion of Type 2 Diabetes (T2D), that currently affects 90% of people suffering from diabetes, urges us to develop a better understanding of the metabolic processes involved in the disease process in order to develop better therapies. The most commonly used model for T2D research is the db/db (BKS.Cg-Dock7 < m > +/+ Lepr < db >/J) mouse model. Yet, a systematic (1)H NMR based metabolomics characterisation of most tissues in this animal model has not been published. Here, we provide a systematic organ-specific metabolomics analysis of this widely employed model using NMR spectroscopy. OBJECTIVES: The aim of this study was to characterise the metabolic modulations associated with T2D in db/db mice in 18 relevant biological matrices. METHODS: High-resolution (1)H-NMR and 2D-NMR spectroscopy were applied to 18 biological matrices of 12 db/db mice (WT control n = 6, db/db = 6) aged 22 weeks, when diabetes is fully established. RESULTS: 61 metabolites associated with T2D were identified. Kidney, spleen, eye and plasma were the biological matrices carrying the largest metabolomics modulations observed in established T2D, based on the total number of metabolites that showed a statistical difference between the diabetic and control group in each tissue (16 in each case) and the strength of the O-PLS DA model for each tissue. Glucose and glutamate were the most commonly associated metabolites found significantly increased in nine biological matrices. Investigated sections where no increase of glucose was associated with T2D include all intestinal segments (i.e. duodenum, jejunum, ileum and colon). Microbial co-metabolites such as acetate and butyrate, used as carbon sources by the host, were identified in excess in the colonic tissues of diabetic individuals. CONCLUSIONS: The metabolic biomarkers identified using (1)H NMR-based metabolomics will represent a useful resource to explore metabolic pathways involved in T2D in the db/db mouse model. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11306-019-1548-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6556514 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-65565142019-07-05 NMR metabolomics identifies over 60 biomarkers associated with Type II Diabetes impairment in db/db mice Mora-Ortiz, Marina Nuñez Ramos, Patricia Oregioni, Alain Claus, Sandrine P. Metabolomics Original Article INTRODUCTION: The rapid expansion of Type 2 Diabetes (T2D), that currently affects 90% of people suffering from diabetes, urges us to develop a better understanding of the metabolic processes involved in the disease process in order to develop better therapies. The most commonly used model for T2D research is the db/db (BKS.Cg-Dock7 < m > +/+ Lepr < db >/J) mouse model. Yet, a systematic (1)H NMR based metabolomics characterisation of most tissues in this animal model has not been published. Here, we provide a systematic organ-specific metabolomics analysis of this widely employed model using NMR spectroscopy. OBJECTIVES: The aim of this study was to characterise the metabolic modulations associated with T2D in db/db mice in 18 relevant biological matrices. METHODS: High-resolution (1)H-NMR and 2D-NMR spectroscopy were applied to 18 biological matrices of 12 db/db mice (WT control n = 6, db/db = 6) aged 22 weeks, when diabetes is fully established. RESULTS: 61 metabolites associated with T2D were identified. Kidney, spleen, eye and plasma were the biological matrices carrying the largest metabolomics modulations observed in established T2D, based on the total number of metabolites that showed a statistical difference between the diabetic and control group in each tissue (16 in each case) and the strength of the O-PLS DA model for each tissue. Glucose and glutamate were the most commonly associated metabolites found significantly increased in nine biological matrices. Investigated sections where no increase of glucose was associated with T2D include all intestinal segments (i.e. duodenum, jejunum, ileum and colon). Microbial co-metabolites such as acetate and butyrate, used as carbon sources by the host, were identified in excess in the colonic tissues of diabetic individuals. CONCLUSIONS: The metabolic biomarkers identified using (1)H NMR-based metabolomics will represent a useful resource to explore metabolic pathways involved in T2D in the db/db mouse model. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11306-019-1548-8) contains supplementary material, which is available to authorized users. Springer US 2019-06-10 2019 /pmc/articles/PMC6556514/ /pubmed/31179513 http://dx.doi.org/10.1007/s11306-019-1548-8 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Article Mora-Ortiz, Marina Nuñez Ramos, Patricia Oregioni, Alain Claus, Sandrine P. NMR metabolomics identifies over 60 biomarkers associated with Type II Diabetes impairment in db/db mice |
title | NMR metabolomics identifies over 60 biomarkers associated with Type II Diabetes impairment in db/db mice |
title_full | NMR metabolomics identifies over 60 biomarkers associated with Type II Diabetes impairment in db/db mice |
title_fullStr | NMR metabolomics identifies over 60 biomarkers associated with Type II Diabetes impairment in db/db mice |
title_full_unstemmed | NMR metabolomics identifies over 60 biomarkers associated with Type II Diabetes impairment in db/db mice |
title_short | NMR metabolomics identifies over 60 biomarkers associated with Type II Diabetes impairment in db/db mice |
title_sort | nmr metabolomics identifies over 60 biomarkers associated with type ii diabetes impairment in db/db mice |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6556514/ https://www.ncbi.nlm.nih.gov/pubmed/31179513 http://dx.doi.org/10.1007/s11306-019-1548-8 |
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