NMR-based metabolic characterization of chicken tissues and biofluids: a model for avian research

Roy, Caroline; Mappley, Luke J.; Ragione, Roberto M. La; Woodward, Martin J.; Claus, Sandrine P.

doi:10.1007/s11306-016-1105-7

Cited by 39 publications

(37 citation statements)

References 51 publications

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“…Systematic metabolomics characterisation of various research models such as rodents, chickens, pigs, humans and horses have been published in the past (Claus et al 2008 ; Le Roy et al 2016 ; Martin et al 2007 ; Merrifield et al 2011 ; Ndagijimana et al 2009 ; Holmes et al 1997 ; Escalona et al 2015 ; Mora-Ortiz et al 2019 ), but to date, a comprehensive metabolic phenotyping of the leptin receptor defective ( db/db ) T2D mouse model: BKS.Cg-Dock7 < m > +/+ Lepr < db >/J is missing. Previous reports have characterised relevant biological matrices such as urine, plasma and kidneys, showing an increase in glucose levels and modulations in the tricarboxylic acid cycle (TCA cycle), branched-chain amino acids (BCAAs) levels, homocysteine-methionine metabolism and ketone and fatty acid metabolism at different stages of the disease.…”

Section: Introductionmentioning

confidence: 99%

NMR metabolomics identifies over 60 biomarkers associated with Type II Diabetes impairment in db/db mice

et al. 2019

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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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Section: Introductionmentioning

confidence: 99%

NMR metabolomics identifies over 60 biomarkers associated with Type II Diabetes impairment in db/db mice

et al. 2019

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“…To the best of our knowledge, few studies have focused on the analysis of the complete metabolome of chicken meat, including of the primary and secondary metabolites during processing. Le Roy et al . used NMR‐based metabolomics to analyze chicken tissues and biofluids.…”

Section: Resultsmentioning

confidence: 99%

¹H‐NMR‐based water‐soluble low molecular weight compound characterization and fatty acid composition of boiled Wuding chicken during processing

et al. 2018

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“…1 H NMR-based metabolomics fingerprinting has been previously used to characterised the metabolome of pigs, humans, rodent, chicken, horses and even the metabolomics changes occurring in diseases such as Type 2 Diabetes in a rodent model (Claus et al 2008 ; Le Roy et al 2016 ; Martin et al 2007 ; Merrifield et al 2011 ; Ndagijimana et al 2009 ; Holmes et al 1997 ; Escalona et al 2015 ; Mora-Ortiz et al 2018 ). However, to date, little metabolomic approaches have been used to characterise PM biochemical modulations.…”

Section: Discussionmentioning

confidence: 99%

“…Chenomx NMR Suite 8.2 from Chenomx Inc (Edmonton, Canada), The Human Metabolome Database ( http://www.hmdb.ca ) and available literature (Claus et al 2011 , 2008 ; de Castro et al 2013 ; Le Roy et al 2016 ) were used for metabolite identification. This pipeline is a standard method in the field and has been previously employed by our group and other groups (Castro et al 2013 ; Le Roy et al 2016 ; Claus et al 2011 , 2008 ; Giallourou et al 2018 ) as being considered an acceptable NMR data analysis approach.…”

Section: Methodsmentioning

confidence: 99%

“…Many animals such as pigs, humans, rodents, chickens, and horse have been metabolically characterised by 1 H NMR spectroscopy in the recent past (Claus et al 2008 ; Le Roy et al 2016 ; Martin et al 2007 ; Merrifield et al 2011 ; Ndagijimana et al 2009 ; Holmes et al 1997 ; Escalona et al 2015 ), but to the best of our knowledge, there is no exhaustive metabolomics 1 H NMR-based characterisation of post-mortem changes.…”

Section: Introductionmentioning

confidence: 99%

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Thanatometabolomics: introducing NMR-based metabolomics to identify metabolic biomarkers of the time of death

et al. 2019

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Introduction Death is the permanent cessation of the critical functions of the organism as a whole. However, the shutdown of a complex biological organism does not abruptly terminate at time of death. New high-throughput technologies allow the systematic investigation of the biochemical modulations occurring after death. Recent genomics studies have demonstrated that genes remain active after death, triggering upregulation of some genes and initiating feedback loops. These genes were mostly involved in pathways related to immunity, inflammation and cancer. These genetic modulations suggest many biochemical events persist after death, which can be captured using a metabolomics approach. Objectives This proof of concept work aimed to determine whether NMR spectroscopy could identify metabolomics changes occurring after death, and characterise the nature of these metabolomics modulations. Methods High-resolution 1 H-NMR spectroscopy was applied to six biological matrices: heart, kidney, liver, spleen, skin and white adipose tissue of ten adult mice at three different type points. Results Forty-three metabolites were associated with post mortem metabolomics modulations. Kidney, heart and spleen showed the highest metabolic perturbations. Conversely, skin and white adipose tissue were the least altered matrices. Early metabolic modulations were associated with energy metabolism and DNA synthesis, by contrast, late metabolomics modulations were associated with microbial metabolism. Conclusions NMR has proven potential to determine the time of death based on post-mortem metabolomics modulations. This could be useful in the context of transplants, forensic studies and as internal quality control in metabolomics studies. Further investigations are required to validate these findings in humans in order to determine which compounds robustly reflect post-mortem metabolic fluctuations to accurately determine the time of death. Electronic supplementary material The online version of this article (10.1007/s11306-019-1498-1) contains supplementary material, which is available to authorized users.

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NMR-based metabolic characterization of chicken tissues and biofluids: a model for avian research

Cited by 39 publications

References 51 publications

NMR metabolomics identifies over 60 biomarkers associated with Type II Diabetes impairment in db/db mice

NMR metabolomics identifies over 60 biomarkers associated with Type II Diabetes impairment in db/db mice

¹H‐NMR‐based water‐soluble low molecular weight compound characterization and fatty acid composition of boiled Wuding chicken during processing

Thanatometabolomics: introducing NMR-based metabolomics to identify metabolic biomarkers of the time of death

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NMR-based metabolic characterization of chicken tissues and biofluids: a model for avian research

Cited by 39 publications

References 51 publications

NMR metabolomics identifies over 60 biomarkers associated with Type II Diabetes impairment in db/db mice

NMR metabolomics identifies over 60 biomarkers associated with Type II Diabetes impairment in db/db mice

1H‐NMR‐based water‐soluble low molecular weight compound characterization and fatty acid composition of boiled Wuding chicken during processing

Thanatometabolomics: introducing NMR-based metabolomics to identify metabolic biomarkers of the time of death

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Product

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¹H‐NMR‐based water‐soluble low molecular weight compound characterization and fatty acid composition of boiled Wuding chicken during processing