Identifying molecular effects of diet through systems biology: influence of herring diet on sterol metabolism and protein turnover in mice.

<h4>Background</h4>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 a...

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Autores principales: Intawat Nookaew, Britt G Gabrielsson, Agneta Holmäng, Ann-Sofie Sandberg, Jens Nielsen
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Publicado: Public Library of Science (PLoS) 2010
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spelling oai:doaj.org-article:565065e4470049fc9fed1b61c196dfe32021-11-18T06:35:47ZIdentifying molecular effects of diet through systems biology: influence of herring diet on sterol metabolism and protein turnover in mice.1932-620310.1371/journal.pone.0012361https://doaj.org/article/565065e4470049fc9fed1b61c196dfe32010-08-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/20808764/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>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.<h4>Methodology/principal finding</h4>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.<h4>Conclusion</h4>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.Intawat NookaewBritt G GabrielssonAgneta HolmängAnn-Sofie SandbergJens NielsenPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 5, Iss 8, p e12361 (2010)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Intawat Nookaew
Britt G Gabrielsson
Agneta Holmäng
Ann-Sofie Sandberg
Jens Nielsen
Identifying molecular effects of diet through systems biology: influence of herring diet on sterol metabolism and protein turnover in mice.
description <h4>Background</h4>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.<h4>Methodology/principal finding</h4>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.<h4>Conclusion</h4>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.
format article
author Intawat Nookaew
Britt G Gabrielsson
Agneta Holmäng
Ann-Sofie Sandberg
Jens Nielsen
author_facet Intawat Nookaew
Britt G Gabrielsson
Agneta Holmäng
Ann-Sofie Sandberg
Jens Nielsen
author_sort Intawat Nookaew
title Identifying molecular effects of diet through systems biology: influence of herring diet on sterol metabolism and protein turnover in mice.
title_short Identifying molecular effects of diet through systems biology: influence of herring diet on sterol metabolism and protein turnover in mice.
title_full Identifying molecular effects of diet through systems biology: influence of herring diet on sterol metabolism and protein turnover in mice.
title_fullStr Identifying molecular effects of diet through systems biology: influence of herring diet on sterol metabolism and protein turnover in mice.
title_full_unstemmed Identifying molecular effects of diet through systems biology: influence of herring diet on sterol metabolism and protein turnover in mice.
title_sort identifying molecular effects of diet through systems biology: influence of herring diet on sterol metabolism and protein turnover in mice.
publisher Public Library of Science (PLoS)
publishDate 2010
url https://doaj.org/article/565065e4470049fc9fed1b61c196dfe3
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