A Systems Approach Dissociates Fructose-Induced Liver Triglyceride from Hypertriglyceridemia and Hyperinsulinemia in Male Mice
The metabolic syndrome (MetS), defined as the co-occurrence of disorders including obesity, dyslipidemia, insulin resistance, and hepatic steatosis, has become increasingly prevalent in the world over recent decades. Dietary and other environmental factors interacting with genetic predisposition are...
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description | The metabolic syndrome (MetS), defined as the co-occurrence of disorders including obesity, dyslipidemia, insulin resistance, and hepatic steatosis, has become increasingly prevalent in the world over recent decades. Dietary and other environmental factors interacting with genetic predisposition are likely contributors to this epidemic. Among the involved dietary factors, excessive fructose consumption may be a key contributor. When fructose is consumed in large amounts, it can quickly produce many of the features of MetS both in humans and mice. The mechanisms by which fructose contributes to metabolic disease and its potential interactions with genetic factors in these processes remain uncertain. Here, we generated a small F2 genetic cohort of male mice derived from crossing fructose-sensitive and -resistant mouse strains to investigate the interrelationships between fructose-induced metabolic phenotypes and to identify hepatic transcriptional pathways that associate with these phenotypes. Our analysis indicates that the hepatic transcriptional pathways associated with fructose-induced hypertriglyceridemia and hyperinsulinemia are distinct from those that associate with fructose-mediated changes in body weight and liver triglyceride. These results suggest that multiple independent mechanisms and pathways may contribute to different aspects of fructose-induced metabolic disease. |
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Dietary and other environmental factors interacting with genetic predisposition are likely contributors to this epidemic. Among the involved dietary factors, excessive fructose consumption may be a key contributor. When fructose is consumed in large amounts, it can quickly produce many of the features of MetS both in humans and mice. The mechanisms by which fructose contributes to metabolic disease and its potential interactions with genetic factors in these processes remain uncertain. Here, we generated a small F2 genetic cohort of male mice derived from crossing fructose-sensitive and -resistant mouse strains to investigate the interrelationships between fructose-induced metabolic phenotypes and to identify hepatic transcriptional pathways that associate with these phenotypes. Our analysis indicates that the hepatic transcriptional pathways associated with fructose-induced hypertriglyceridemia and hyperinsulinemia are distinct from those that associate with fructose-mediated changes in body weight and liver triglyceride. These results suggest that multiple independent mechanisms and pathways may contribute to different aspects of fructose-induced metabolic disease.</description><identifier>ISSN: 2072-6643</identifier><identifier>EISSN: 2072-6643</identifier><identifier>DOI: 10.3390/nu13103642</identifier><identifier>PMID: 34684643</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Animals ; Body weight ; Cholesterol ; Cohort Studies ; Diabetes ; Diet ; Dyslipidemia ; Environmental factors ; Epidemics ; Fatty liver ; Fructose ; Fructose - adverse effects ; Gene expression ; Gene Expression Regulation ; Gene Regulatory Networks ; Genetic factors ; Genomics ; Glucose ; Haplotypes ; Hyperinsulinemia ; Hyperinsulinism - blood ; Hyperinsulinism - complications ; Hypertriglyceridemia ; Hypertriglyceridemia - blood ; Hypertriglyceridemia - complications ; Insulin ; Insulin - blood ; Insulin resistance ; Laboratories ; Liver ; Liver - metabolism ; Liver diseases ; Male ; Metabolic disorders ; Metabolic syndrome ; Mice ; Mice, Inbred C3H ; Mice, Inbred C57BL ; Mutation, Missense - genetics ; Obesity ; Phenotype ; Phenotypes ; RNA, Messenger - genetics ; RNA, Messenger - metabolism ; Steatosis ; Systems Analysis ; Transcription ; Triglycerides ; Triglycerides - blood ; Triglycerides - metabolism</subject><ispartof>Nutrients, 2021-10, Vol.13 (10), p.3642</ispartof><rights>2021 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>2021 by the authors. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c406t-f5e7738be4048ccabaf5459d1be9c63106d70e02793837150b1def8af31eb80b3</citedby><cites>FETCH-LOGICAL-c406t-f5e7738be4048ccabaf5459d1be9c63106d70e02793837150b1def8af31eb80b3</cites><orcidid>0000-0001-6979-103X ; 0000-0001-8452-4845 ; 0000-0003-4116-5904</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540719/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540719/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34684643$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Doridot, Ludivine</creatorcontrib><creatorcontrib>Hannou, Sarah A</creatorcontrib><creatorcontrib>Krawczyk, Sarah A</creatorcontrib><creatorcontrib>Tong, Wenxin</creatorcontrib><creatorcontrib>Kim, Mi-Sung</creatorcontrib><creatorcontrib>McElroy, Gregory S</creatorcontrib><creatorcontrib>Fowler, Alan J</creatorcontrib><creatorcontrib>Astapova, Inna I</creatorcontrib><creatorcontrib>Herman, Mark A</creatorcontrib><title>A Systems Approach Dissociates Fructose-Induced Liver Triglyceride from Hypertriglyceridemia and Hyperinsulinemia in Male Mice</title><title>Nutrients</title><addtitle>Nutrients</addtitle><description>The metabolic syndrome (MetS), defined as the co-occurrence of disorders including obesity, dyslipidemia, insulin resistance, and hepatic steatosis, has become increasingly prevalent in the world over recent decades. Dietary and other environmental factors interacting with genetic predisposition are likely contributors to this epidemic. Among the involved dietary factors, excessive fructose consumption may be a key contributor. When fructose is consumed in large amounts, it can quickly produce many of the features of MetS both in humans and mice. The mechanisms by which fructose contributes to metabolic disease and its potential interactions with genetic factors in these processes remain uncertain. Here, we generated a small F2 genetic cohort of male mice derived from crossing fructose-sensitive and -resistant mouse strains to investigate the interrelationships between fructose-induced metabolic phenotypes and to identify hepatic transcriptional pathways that associate with these phenotypes. Our analysis indicates that the hepatic transcriptional pathways associated with fructose-induced hypertriglyceridemia and hyperinsulinemia are distinct from those that associate with fructose-mediated changes in body weight and liver triglyceride. These results suggest that multiple independent mechanisms and pathways may contribute to different aspects of fructose-induced metabolic disease.</description><subject>Animals</subject><subject>Body weight</subject><subject>Cholesterol</subject><subject>Cohort Studies</subject><subject>Diabetes</subject><subject>Diet</subject><subject>Dyslipidemia</subject><subject>Environmental factors</subject><subject>Epidemics</subject><subject>Fatty liver</subject><subject>Fructose</subject><subject>Fructose - adverse effects</subject><subject>Gene expression</subject><subject>Gene Expression Regulation</subject><subject>Gene Regulatory Networks</subject><subject>Genetic factors</subject><subject>Genomics</subject><subject>Glucose</subject><subject>Haplotypes</subject><subject>Hyperinsulinemia</subject><subject>Hyperinsulinism - blood</subject><subject>Hyperinsulinism - complications</subject><subject>Hypertriglyceridemia</subject><subject>Hypertriglyceridemia - blood</subject><subject>Hypertriglyceridemia - 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adverse effects</topic><topic>Gene expression</topic><topic>Gene Expression Regulation</topic><topic>Gene Regulatory Networks</topic><topic>Genetic factors</topic><topic>Genomics</topic><topic>Glucose</topic><topic>Haplotypes</topic><topic>Hyperinsulinemia</topic><topic>Hyperinsulinism - blood</topic><topic>Hyperinsulinism - complications</topic><topic>Hypertriglyceridemia</topic><topic>Hypertriglyceridemia - blood</topic><topic>Hypertriglyceridemia - complications</topic><topic>Insulin</topic><topic>Insulin - blood</topic><topic>Insulin resistance</topic><topic>Laboratories</topic><topic>Liver</topic><topic>Liver - metabolism</topic><topic>Liver diseases</topic><topic>Male</topic><topic>Metabolic disorders</topic><topic>Metabolic syndrome</topic><topic>Mice</topic><topic>Mice, Inbred C3H</topic><topic>Mice, Inbred C57BL</topic><topic>Mutation, Missense - genetics</topic><topic>Obesity</topic><topic>Phenotype</topic><topic>Phenotypes</topic><topic>RNA, Messenger - genetics</topic><topic>RNA, Messenger - 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Dietary and other environmental factors interacting with genetic predisposition are likely contributors to this epidemic. Among the involved dietary factors, excessive fructose consumption may be a key contributor. When fructose is consumed in large amounts, it can quickly produce many of the features of MetS both in humans and mice. The mechanisms by which fructose contributes to metabolic disease and its potential interactions with genetic factors in these processes remain uncertain. Here, we generated a small F2 genetic cohort of male mice derived from crossing fructose-sensitive and -resistant mouse strains to investigate the interrelationships between fructose-induced metabolic phenotypes and to identify hepatic transcriptional pathways that associate with these phenotypes. Our analysis indicates that the hepatic transcriptional pathways associated with fructose-induced hypertriglyceridemia and hyperinsulinemia are distinct from those that associate with fructose-mediated changes in body weight and liver triglyceride. These results suggest that multiple independent mechanisms and pathways may contribute to different aspects of fructose-induced metabolic disease.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>34684643</pmid><doi>10.3390/nu13103642</doi><orcidid>https://orcid.org/0000-0001-6979-103X</orcidid><orcidid>https://orcid.org/0000-0001-8452-4845</orcidid><orcidid>https://orcid.org/0000-0003-4116-5904</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Animals Body weight Cholesterol Cohort Studies Diabetes Diet Dyslipidemia Environmental factors Epidemics Fatty liver Fructose Fructose - adverse effects Gene expression Gene Expression Regulation Gene Regulatory Networks Genetic factors Genomics Glucose Haplotypes Hyperinsulinemia Hyperinsulinism - blood Hyperinsulinism - complications Hypertriglyceridemia Hypertriglyceridemia - blood Hypertriglyceridemia - complications Insulin Insulin - blood Insulin resistance Laboratories Liver Liver - metabolism Liver diseases Male Metabolic disorders Metabolic syndrome Mice Mice, Inbred C3H Mice, Inbred C57BL Mutation, Missense - genetics Obesity Phenotype Phenotypes RNA, Messenger - genetics RNA, Messenger - metabolism Steatosis Systems Analysis Transcription Triglycerides Triglycerides - blood Triglycerides - metabolism |
title | A Systems Approach Dissociates Fructose-Induced Liver Triglyceride from Hypertriglyceridemia and Hyperinsulinemia in Male Mice |
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