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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Veröffentlicht in:PloS one 2010-08, Vol.5 (8), p.e12361-e12361
Hauptverfasser: Nookaew, Intawat, Gabrielsson, Britt G, Holmäng, Agneta, Sandberg, Ann-Sofie, Nielsen, Jens
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Gabrielsson, Britt G
Holmäng, Agneta
Sandberg, Ann-Sofie
Nielsen, Jens
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.
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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
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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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