Loading…

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...

Full description

Saved in:
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:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c467t-dfbf51c6bb89c98f74d8fdf946b10541cd51627c8f9d9ec9fc4463c86a1393893
container_end_page
container_issue 6
container_start_page 803
container_title Nutrients
container_volume 16
creator 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
description 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.
doi_str_mv 10.3390/nu16060803
format article
fullrecord <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10975117</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A788251943</galeid><sourcerecordid>A788251943</sourcerecordid><originalsourceid>FETCH-LOGICAL-c467t-dfbf51c6bb89c98f74d8fdf946b10541cd51627c8f9d9ec9fc4463c86a1393893</originalsourceid><addsrcrecordid>eNptkltrFDEUxwdRbKl98QNIwBcVpiaTTDJ5kmVtXWFLkVV8DJlcZlNnk3aSWezn6Rdthq3bCyaQ6-_8c07OKYq3CJ5gzOFnPyIKKWwgflEcVpBVJaUEv3y0PiiOY7yEU2OQUfy6OMBNTSqGyGFxOwPzIcRYroxKLnjZgx-j9MklmdzWgHOTZBv6sHEqglUa9Q043TptvHK-A2m9J5wCK9d5mcbBAOfz5i-4GDrpI9DjMMESIFL-NuYPWLhuXZ7JtFusRpU9MEB6nV_Ioxw0-OpMmmTOnTJvildW9tEc389Hxa-z05_zRbm8-PZ9PluWilCWSm1bWyNF27bhijeWEd1YbTmhLYI1QUrXiFZMNZZrbhS3ihCKVUMlwhw3HB8VX3a6V2O7MVoZnwbZi6vBbeRwI4J04umNd2vRha1AkLMaIZYVPu4U1s_sFrOlmM4gqSljDdqizH64f20I16OJSWxcVKbvpTdhjAJDRHLGaAUz-v4ZehnGIedqoiDGOS5cPVCd7I1w3obspJpExYw1TVUjTnCmTv5D5a5NznHwxrp8_sTg085gylIcjN0HhqCYSlA8lGCG3z3-wj36r-DwHXD71Ps</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3003351632</pqid></control><display><type>article</type><title>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</title><source>Publicly Available Content Database</source><source>PubMed Central</source><creator>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</creator><creatorcontrib>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</creatorcontrib><description>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.</description><identifier>ISSN: 2072-6643</identifier><identifier>EISSN: 2072-6643</identifier><identifier>DOI: 10.3390/nu16060803</identifier><identifier>PMID: 38542714</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>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</subject><ispartof>Nutrients, 2024-03, Vol.16 (6), p.803</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Attribution</rights><rights>2024 by the authors. 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c467t-dfbf51c6bb89c98f74d8fdf946b10541cd51627c8f9d9ec9fc4463c86a1393893</cites><orcidid>0000-0001-9430-4061 ; 0000-0002-8508-7437 ; 0000-0002-2418-1438 ; 0000-0003-4189-6029 ; 0000-0002-1064-0293 ; 0000-0002-2643-5702 ; 0000-0002-1587-2253 ; 0000-0001-9879-4731 ; 0000-0002-5072-8572</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3003351632/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3003351632?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25731,27901,27902,36989,36990,44566,53766,53768,74869</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38542714$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.inrae.fr/hal-04567781$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Drevet Mulard, Eva</creatorcontrib><creatorcontrib>Guibert, Sylvie</creatorcontrib><creatorcontrib>Mey, Anne</creatorcontrib><creatorcontrib>Lefevre, Camille</creatorcontrib><creatorcontrib>Chauvin, Marie-Agnès</creatorcontrib><creatorcontrib>Pinteur, Claudie</creatorcontrib><creatorcontrib>Monet, Marie-Ambre</creatorcontrib><creatorcontrib>Godet, Murielle</creatorcontrib><creatorcontrib>Madec, Anne-Marie</creatorcontrib><creatorcontrib>Morio, Béatrice</creatorcontrib><creatorcontrib>Rieusset, Jennifer</creatorcontrib><creatorcontrib>Rautureau, Gilles J P</creatorcontrib><creatorcontrib>Panthu, Baptiste</creatorcontrib><title>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</title><title>Nutrients</title><addtitle>Nutrients</addtitle><description>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.</description><subject>Amino acids</subject><subject>Animals</subject><subject>Body fat</subject><subject>Brain</subject><subject>Cross-Sectional Studies</subject><subject>Diabetes</subject><subject>Diabetes Mellitus, Type 2 - complications</subject><subject>Diet</subject><subject>Diet, High-Fat - adverse effects</subject><subject>Discriminant analysis</subject><subject>Experiments</subject><subject>Fourier transforms</subject><subject>Glucose</subject><subject>Insulin</subject><subject>Kidneys</subject><subject>Laboratory animals</subject><subject>Life Sciences</subject><subject>Liver</subject><subject>Liver - metabolism</subject><subject>Male</subject><subject>Metabolism</subject><subject>Metabolites</subject><subject>Metabolomics</subject><subject>Mice</subject><subject>Mice, Inbred C57BL</subject><subject>Muscles</subject><subject>Musculoskeletal system</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Obesity</subject><subject>Obesity - metabolism</subject><subject>Overweight</subject><subject>Physiological aspects</subject><subject>Risk factors</subject><subject>Sexually transmitted diseases</subject><subject>Software</subject><subject>Spectrum analysis</subject><subject>Sucrose</subject><subject>Sucrose - metabolism</subject><subject>Type 2 diabetes</subject><subject>Variance analysis</subject><issn>2072-6643</issn><issn>2072-6643</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNptkltrFDEUxwdRbKl98QNIwBcVpiaTTDJ5kmVtXWFLkVV8DJlcZlNnk3aSWezn6Rdthq3bCyaQ6-_8c07OKYq3CJ5gzOFnPyIKKWwgflEcVpBVJaUEv3y0PiiOY7yEU2OQUfy6OMBNTSqGyGFxOwPzIcRYroxKLnjZgx-j9MklmdzWgHOTZBv6sHEqglUa9Q043TptvHK-A2m9J5wCK9d5mcbBAOfz5i-4GDrpI9DjMMESIFL-NuYPWLhuXZ7JtFusRpU9MEB6nV_Ioxw0-OpMmmTOnTJvildW9tEc389Hxa-z05_zRbm8-PZ9PluWilCWSm1bWyNF27bhijeWEd1YbTmhLYI1QUrXiFZMNZZrbhS3ihCKVUMlwhw3HB8VX3a6V2O7MVoZnwbZi6vBbeRwI4J04umNd2vRha1AkLMaIZYVPu4U1s_sFrOlmM4gqSljDdqizH64f20I16OJSWxcVKbvpTdhjAJDRHLGaAUz-v4ZehnGIedqoiDGOS5cPVCd7I1w3obspJpExYw1TVUjTnCmTv5D5a5NznHwxrp8_sTg085gylIcjN0HhqCYSlA8lGCG3z3-wj36r-DwHXD71Ps</recordid><startdate>20240312</startdate><enddate>20240312</enddate><creator>Drevet Mulard, Eva</creator><creator>Guibert, Sylvie</creator><creator>Mey, Anne</creator><creator>Lefevre, Camille</creator><creator>Chauvin, Marie-Agnès</creator><creator>Pinteur, Claudie</creator><creator>Monet, Marie-Ambre</creator><creator>Godet, Murielle</creator><creator>Madec, Anne-Marie</creator><creator>Morio, Béatrice</creator><creator>Rieusset, Jennifer</creator><creator>Rautureau, Gilles J P</creator><creator>Panthu, Baptiste</creator><general>MDPI AG</general><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-9430-4061</orcidid><orcidid>https://orcid.org/0000-0002-8508-7437</orcidid><orcidid>https://orcid.org/0000-0002-2418-1438</orcidid><orcidid>https://orcid.org/0000-0003-4189-6029</orcidid><orcidid>https://orcid.org/0000-0002-1064-0293</orcidid><orcidid>https://orcid.org/0000-0002-2643-5702</orcidid><orcidid>https://orcid.org/0000-0002-1587-2253</orcidid><orcidid>https://orcid.org/0000-0001-9879-4731</orcidid><orcidid>https://orcid.org/0000-0002-5072-8572</orcidid></search><sort><creationdate>20240312</creationdate><title>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</title><author>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</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c467t-dfbf51c6bb89c98f74d8fdf946b10541cd51627c8f9d9ec9fc4463c86a1393893</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Amino acids</topic><topic>Animals</topic><topic>Body fat</topic><topic>Brain</topic><topic>Cross-Sectional Studies</topic><topic>Diabetes</topic><topic>Diabetes Mellitus, Type 2 - complications</topic><topic>Diet</topic><topic>Diet, High-Fat - adverse effects</topic><topic>Discriminant analysis</topic><topic>Experiments</topic><topic>Fourier transforms</topic><topic>Glucose</topic><topic>Insulin</topic><topic>Kidneys</topic><topic>Laboratory animals</topic><topic>Life Sciences</topic><topic>Liver</topic><topic>Liver - metabolism</topic><topic>Male</topic><topic>Metabolism</topic><topic>Metabolites</topic><topic>Metabolomics</topic><topic>Mice</topic><topic>Mice, Inbred C57BL</topic><topic>Muscles</topic><topic>Musculoskeletal system</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Obesity</topic><topic>Obesity - metabolism</topic><topic>Overweight</topic><topic>Physiological aspects</topic><topic>Risk factors</topic><topic>Sexually transmitted diseases</topic><topic>Software</topic><topic>Spectrum analysis</topic><topic>Sucrose</topic><topic>Sucrose - metabolism</topic><topic>Type 2 diabetes</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Drevet Mulard, Eva</creatorcontrib><creatorcontrib>Guibert, Sylvie</creatorcontrib><creatorcontrib>Mey, Anne</creatorcontrib><creatorcontrib>Lefevre, Camille</creatorcontrib><creatorcontrib>Chauvin, Marie-Agnès</creatorcontrib><creatorcontrib>Pinteur, Claudie</creatorcontrib><creatorcontrib>Monet, Marie-Ambre</creatorcontrib><creatorcontrib>Godet, Murielle</creatorcontrib><creatorcontrib>Madec, Anne-Marie</creatorcontrib><creatorcontrib>Morio, Béatrice</creatorcontrib><creatorcontrib>Rieusset, Jennifer</creatorcontrib><creatorcontrib>Rautureau, Gilles J P</creatorcontrib><creatorcontrib>Panthu, Baptiste</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Physical Education Index</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nutrients</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Drevet Mulard, Eva</au><au>Guibert, Sylvie</au><au>Mey, Anne</au><au>Lefevre, Camille</au><au>Chauvin, Marie-Agnès</au><au>Pinteur, Claudie</au><au>Monet, Marie-Ambre</au><au>Godet, Murielle</au><au>Madec, Anne-Marie</au><au>Morio, Béatrice</au><au>Rieusset, Jennifer</au><au>Rautureau, Gilles J P</au><au>Panthu, Baptiste</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>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</atitle><jtitle>Nutrients</jtitle><addtitle>Nutrients</addtitle><date>2024-03-12</date><risdate>2024</risdate><volume>16</volume><issue>6</issue><spage>803</spage><pages>803-</pages><issn>2072-6643</issn><eissn>2072-6643</eissn><abstract>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.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>38542714</pmid><doi>10.3390/nu16060803</doi><orcidid>https://orcid.org/0000-0001-9430-4061</orcidid><orcidid>https://orcid.org/0000-0002-8508-7437</orcidid><orcidid>https://orcid.org/0000-0002-2418-1438</orcidid><orcidid>https://orcid.org/0000-0003-4189-6029</orcidid><orcidid>https://orcid.org/0000-0002-1064-0293</orcidid><orcidid>https://orcid.org/0000-0002-2643-5702</orcidid><orcidid>https://orcid.org/0000-0002-1587-2253</orcidid><orcidid>https://orcid.org/0000-0001-9879-4731</orcidid><orcidid>https://orcid.org/0000-0002-5072-8572</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2072-6643
ispartof Nutrients, 2024-03, Vol.16 (6), p.803
issn 2072-6643
2072-6643
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10975117
source Publicly Available Content Database; PubMed Central
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
title 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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-13T02%3A10%3A44IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Cross-Sectional%20Quantitative%20Metabolomics%20Study%20Evidencing%20the%20Metabolic%20Signature%20in%20Six%20Organs%20during%20a%2014-Week%20High-Fat%20High-Sucrose%20and%20Standard%20Diet%20in%20Mice&rft.jtitle=Nutrients&rft.au=Drevet%20Mulard,%20Eva&rft.date=2024-03-12&rft.volume=16&rft.issue=6&rft.spage=803&rft.pages=803-&rft.issn=2072-6643&rft.eissn=2072-6643&rft_id=info:doi/10.3390/nu16060803&rft_dat=%3Cgale_pubme%3EA788251943%3C/gale_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c467t-dfbf51c6bb89c98f74d8fdf946b10541cd51627c8f9d9ec9fc4463c86a1393893%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3003351632&rft_id=info:pmid/38542714&rft_galeid=A788251943&rfr_iscdi=true