Identifying molecular effects of diet through systems biology: influence of herring diet on sterol metabolism and protein turnover in mice
Changes in lifestyle have resulted in an epidemic development of obesity-related diseases that challenge the healthcare systems worldwide. To develop strategies to tackle this problem the focus is on diet to prevent the development of obesity-associated diseases such as cardiovascular disease (CVD)....
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description | Changes in lifestyle have resulted in an epidemic development of obesity-related diseases that challenge the healthcare systems worldwide. To develop strategies to tackle this problem the focus is on diet to prevent the development of obesity-associated diseases such as cardiovascular disease (CVD). This will require methods for linking nutrient intake with specific metabolic processes in different tissues.
Low-density lipoprotein receptor-deficient (Ldlr -/-) mice were fed a high fat/high sugar diet to mimic a westernized diet, being a major reason for development of obesity and atherosclerosis. The diets were supplemented with either beef or herring, and matched in macronutrient contents. Body composition, plasma lipids and aortic lesion areas were measured. Transcriptomes of metabolically important tissues, e.g. liver, muscle and adipose tissue were analyzed by an integrated approach with metabolic networks to directly map the metabolic effects of diet in these different tissues. Our analysis revealed a reduction in sterol metabolism and protein turnover at the transcriptional level in herring-fed mice.
This study shows that an integrated analysis of transcriptome data using metabolic networks resulted in the identification of signature pathways. This could not have been achieved using standard clustering methods. In particular, this systems biology analysis could enrich the information content of biomedical or nutritional data where subtle changes in several tissues together affects body metabolism or disease progression. This could be applied to improve diets for subjects exposed to health risks associated with obesity. |
doi_str_mv | 10.1371/journal.pone.0012361 |
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Low-density lipoprotein receptor-deficient (Ldlr -/-) mice were fed a high fat/high sugar diet to mimic a westernized diet, being a major reason for development of obesity and atherosclerosis. The diets were supplemented with either beef or herring, and matched in macronutrient contents. Body composition, plasma lipids and aortic lesion areas were measured. Transcriptomes of metabolically important tissues, e.g. liver, muscle and adipose tissue were analyzed by an integrated approach with metabolic networks to directly map the metabolic effects of diet in these different tissues. Our analysis revealed a reduction in sterol metabolism and protein turnover at the transcriptional level in herring-fed mice.
This study shows that an integrated analysis of transcriptome data using metabolic networks resulted in the identification of signature pathways. This could not have been achieved using standard clustering methods. In particular, this systems biology analysis could enrich the information content of biomedical or nutritional data where subtle changes in several tissues together affects body metabolism or disease progression. This could be applied to improve diets for subjects exposed to health risks associated with obesity.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0012361</identifier><identifier>PMID: 20808764</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adipocytes ; Adipocytes, White - metabolism ; Adipose tissue ; Analysis ; Animal tissues ; Animals ; Aorta ; Apolipoproteins ; Arteriosclerosis ; Atherosclerosis ; Beef ; Bioengineering ; Biological effects ; Biology ; Biomedical data ; Blood lipids ; Body composition ; Cardiovascular diseases ; Chemical Sciences ; Clustering ; Computational Biology/Systems Biology ; Computational Biology/Transcriptional Regulation ; Consortia ; Coronary vessels ; Data processing ; Diet ; Engineering ; Epidemics ; Fatty acids ; Fish oils ; Fishes ; Gene expression ; Gene Expression Profiling ; Genomes ; Health care ; Health care reform ; Health risks ; Influence ; Kemi ; Life sciences ; Lipid metabolism ; Lipids ; Liver ; Low density lipoprotein receptors ; Male ; Medical and Health Sciences ; Medicin och hälsovetenskap ; Metabolic networks ; Metabolic Networks and Pathways ; Metabolism ; Metabolites ; methods ; Mice ; Musculoskeletal system ; Nutrition research ; Nutrition/Obesity ; Obesity ; Oil consumption ; Ontology ; Organ Specificity ; Phenotype ; Physiological aspects ; Physiology ; Protein synthesis ; Protein turnover ; Proteins ; Proteins - metabolism ; Receptor density ; Rodents ; Steroids (Organic compounds) ; Sterols ; Sterols - metabolism ; Studies ; Sugar ; Systems Biology ; Systems Biology - methods ; Tissue analysis ; Transcription ; White</subject><ispartof>PloS one, 2010-08, Vol.5 (8), p.e12361-e12361</ispartof><rights>COPYRIGHT 2010 Public Library of Science</rights><rights>2010 Nookaew et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Nookaew et al. 2010</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c805t-9c0d7396c53243cc052d3cc01aa234ab730725001cc10476f64608b06a0d96a23</citedby><cites>FETCH-LOGICAL-c805t-9c0d7396c53243cc052d3cc01aa234ab730725001cc10476f64608b06a0d96a23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2927425/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2927425/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,550,723,776,780,860,881,2095,2914,23846,27903,27904,53769,53771,79346,79347</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20808764$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://gup.ub.gu.se/publication/145396$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttps://research.chalmers.se/publication/145396$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><contributor>Hansen, Immo A.</contributor><creatorcontrib>Nookaew, Intawat</creatorcontrib><creatorcontrib>Gabrielsson, Britt G</creatorcontrib><creatorcontrib>Holmäng, Agneta</creatorcontrib><creatorcontrib>Sandberg, Ann-Sofie</creatorcontrib><creatorcontrib>Nielsen, Jens</creatorcontrib><title>Identifying molecular effects of diet through systems biology: influence of herring diet on sterol metabolism and protein turnover in mice</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Changes in lifestyle have resulted in an epidemic development of obesity-related diseases that challenge the healthcare systems worldwide. To develop strategies to tackle this problem the focus is on diet to prevent the development of obesity-associated diseases such as cardiovascular disease (CVD). This will require methods for linking nutrient intake with specific metabolic processes in different tissues.
Low-density lipoprotein receptor-deficient (Ldlr -/-) mice were fed a high fat/high sugar diet to mimic a westernized diet, being a major reason for development of obesity and atherosclerosis. The diets were supplemented with either beef or herring, and matched in macronutrient contents. Body composition, plasma lipids and aortic lesion areas were measured. Transcriptomes of metabolically important tissues, e.g. liver, muscle and adipose tissue were analyzed by an integrated approach with metabolic networks to directly map the metabolic effects of diet in these different tissues. Our analysis revealed a reduction in sterol metabolism and protein turnover at the transcriptional level in herring-fed mice.
This study shows that an integrated analysis of transcriptome data using metabolic networks resulted in the identification of signature pathways. This could not have been achieved using standard clustering methods. In particular, this systems biology analysis could enrich the information content of biomedical or nutritional data where subtle changes in several tissues together affects body metabolism or disease progression. This could be applied to improve diets for subjects exposed to health risks associated with obesity.</description><subject>Adipocytes</subject><subject>Adipocytes, White - metabolism</subject><subject>Adipose tissue</subject><subject>Analysis</subject><subject>Animal tissues</subject><subject>Animals</subject><subject>Aorta</subject><subject>Apolipoproteins</subject><subject>Arteriosclerosis</subject><subject>Atherosclerosis</subject><subject>Beef</subject><subject>Bioengineering</subject><subject>Biological effects</subject><subject>Biology</subject><subject>Biomedical data</subject><subject>Blood lipids</subject><subject>Body composition</subject><subject>Cardiovascular diseases</subject><subject>Chemical Sciences</subject><subject>Clustering</subject><subject>Computational Biology/Systems Biology</subject><subject>Computational Biology/Transcriptional Regulation</subject><subject>Consortia</subject><subject>Coronary vessels</subject><subject>Data processing</subject><subject>Diet</subject><subject>Engineering</subject><subject>Epidemics</subject><subject>Fatty acids</subject><subject>Fish oils</subject><subject>Fishes</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Genomes</subject><subject>Health care</subject><subject>Health care reform</subject><subject>Health risks</subject><subject>Influence</subject><subject>Kemi</subject><subject>Life sciences</subject><subject>Lipid metabolism</subject><subject>Lipids</subject><subject>Liver</subject><subject>Low density lipoprotein receptors</subject><subject>Male</subject><subject>Medical and Health Sciences</subject><subject>Medicin och hälsovetenskap</subject><subject>Metabolic networks</subject><subject>Metabolic Networks and Pathways</subject><subject>Metabolism</subject><subject>Metabolites</subject><subject>methods</subject><subject>Mice</subject><subject>Musculoskeletal system</subject><subject>Nutrition research</subject><subject>Nutrition/Obesity</subject><subject>Obesity</subject><subject>Oil consumption</subject><subject>Ontology</subject><subject>Organ Specificity</subject><subject>Phenotype</subject><subject>Physiological aspects</subject><subject>Physiology</subject><subject>Protein synthesis</subject><subject>Protein turnover</subject><subject>Proteins</subject><subject>Proteins - 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To develop strategies to tackle this problem the focus is on diet to prevent the development of obesity-associated diseases such as cardiovascular disease (CVD). This will require methods for linking nutrient intake with specific metabolic processes in different tissues.
Low-density lipoprotein receptor-deficient (Ldlr -/-) mice were fed a high fat/high sugar diet to mimic a westernized diet, being a major reason for development of obesity and atherosclerosis. The diets were supplemented with either beef or herring, and matched in macronutrient contents. Body composition, plasma lipids and aortic lesion areas were measured. Transcriptomes of metabolically important tissues, e.g. liver, muscle and adipose tissue were analyzed by an integrated approach with metabolic networks to directly map the metabolic effects of diet in these different tissues. Our analysis revealed a reduction in sterol metabolism and protein turnover at the transcriptional level in herring-fed mice.
This study shows that an integrated analysis of transcriptome data using metabolic networks resulted in the identification of signature pathways. This could not have been achieved using standard clustering methods. In particular, this systems biology analysis could enrich the information content of biomedical or nutritional data where subtle changes in several tissues together affects body metabolism or disease progression. This could be applied to improve diets for subjects exposed to health risks associated with obesity.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>20808764</pmid><doi>10.1371/journal.pone.0012361</doi><tpages>e12361</tpages><oa>free_for_read</oa></addata></record> |
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identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2010-08, Vol.5 (8), p.e12361-e12361 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1318937218 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; SWEPUB Freely available online; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Adipocytes Adipocytes, White - metabolism Adipose tissue Analysis Animal tissues Animals Aorta Apolipoproteins Arteriosclerosis Atherosclerosis Beef Bioengineering Biological effects Biology Biomedical data Blood lipids Body composition Cardiovascular diseases Chemical Sciences Clustering Computational Biology/Systems Biology Computational Biology/Transcriptional Regulation Consortia Coronary vessels Data processing Diet Engineering Epidemics Fatty acids Fish oils Fishes Gene expression Gene Expression Profiling Genomes Health care Health care reform Health risks Influence Kemi Life sciences Lipid metabolism Lipids Liver Low density lipoprotein receptors Male Medical and Health Sciences Medicin och hälsovetenskap Metabolic networks Metabolic Networks and Pathways Metabolism Metabolites methods Mice Musculoskeletal system Nutrition research Nutrition/Obesity Obesity Oil consumption Ontology Organ Specificity Phenotype Physiological aspects Physiology Protein synthesis Protein turnover Proteins Proteins - metabolism Receptor density Rodents Steroids (Organic compounds) Sterols Sterols - metabolism Studies Sugar Systems Biology Systems Biology - methods Tissue analysis Transcription White |
title | Identifying molecular effects of diet through systems biology: influence of herring diet on sterol metabolism and protein turnover in mice |
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