A Cross-Sectional Quantitative Metabolomics Study Evidencing the Metabolic Signature in Six Organs during a 14-Week High-Fat High-Sucrose and Standard Diet in Mice

Obesity is a risk factor for many diseases, such as type 2 diabetes and cardiovascular diseases. In line with the need for precision medicine, the search for biomarkers reporting the progression of obesity- and diet-associated disorders is urgent. We used NMR to determine the metabolomics profile of...

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Bibliographic Details
Published in:Nutrients 2024-03, Vol.16 (6), p.803
Main Authors: Drevet Mulard, Eva, Guibert, Sylvie, Mey, Anne, Lefevre, Camille, Chauvin, Marie-Agnès, Pinteur, Claudie, Monet, Marie-Ambre, Godet, Murielle, Madec, Anne-Marie, Morio, Béatrice, Rieusset, Jennifer, Rautureau, Gilles J P, Panthu, Baptiste
Format: Article
Language:English
Subjects:
Amino acids
Animals
Body fat
Brain
Cross-Sectional Studies
Diabetes
Diabetes Mellitus, Type 2 - complications
Diet
Diet, High-Fat - adverse effects
Discriminant analysis
Experiments
Fourier transforms
Glucose
Insulin
Kidneys
Laboratory animals
Life Sciences
Liver
Liver - metabolism
Male
Metabolism
Metabolites
Metabolomics
Mice
Mice, Inbred C57BL
Muscles
Musculoskeletal system
NMR
Nuclear magnetic resonance
Obesity
Obesity - metabolism
Overweight
Physiological aspects
Risk factors
Sexually transmitted diseases
Software
Spectrum analysis
Sucrose
Sucrose - metabolism
Type 2 diabetes
Variance analysis
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Summary:Obesity is a risk factor for many diseases, such as type 2 diabetes and cardiovascular diseases. In line with the need for precision medicine, the search for biomarkers reporting the progression of obesity- and diet-associated disorders is urgent. We used NMR to determine the metabolomics profile of key organs (lung, liver, heart, skeletal muscle, kidney, and brain) and serum from male C57Bl/6J mice (5 weeks old) fed for 6, 10, and 14 weeks on a high-fat and high-sucrose diet (HFHSD) vs. a standard diet (STD). We determined metabolite concentrations in the organs at each time point, which allowed us to discriminate age- and diet-related effects as well as the interactions between both, highlighting the need to evaluate the influence of age as a confounding factor on metabolic signatures. Notably, the analysis revealed the influence of time on metabolite concentrations in the STD condition, probably reflecting the juvenile-to-adult transition. Variations impacted the liver and lung metabolites, revealing the strong influence of the HFHS diet on normal metabolism maturation during youth.
ISSN:2072-6643
2072-6643
DOI:10.3390/nu16060803