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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...

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Autores principales: Mora-Ortiz, Marina, Nuñez Ramos, Patricia, Oregioni, Alain, Claus, Sandrine P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2019
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.
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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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