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Mol. Cells 2013; 36(1): 25-38

Published online June 26, 2013

https://doi.org/10.1007/s10059-013-2336-3

© The Korean Society for Molecular and Cellular Biology

A Nutrigenomic Framework to Identify Time-Resolving Responses of Hepatic Genes in Diet-Induced Obese Mice

Hyoung-Sam Heo, Eunjung Kim, Seon-Min Jeon, Eun-Young Kwon, Su-Kyung Shin, Hyojung Paik, Cheol-Goo Hur, and Myung-Sook Choi

1Green Bio Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Korea, 2Division of Bio-Medical Informatics, Center for Genome Science, Korea National Institute of Health, Korea Centers for Disease Control and Prevention, Cheongwon 363-951, Korea, 3Department of Food Science and Nutrition, Catholic University of Daegu, Gyeongsan 712-702, Korea, 4Food and Nutritional Genomics Research Center, Kyungpook National University, Daegu 702-701, Korea, 5Department of Food Science and Nutrition, Kyungpook National University, Daegu 702-701, Korea, 6Department of Biomedical Informatics, Ajou University School of Medicine, Suwon 443-749, Korea, 7These authors contributed equally to this work.

Received: December 21, 2014; Revised: April 8, 2013; Accepted: April 10, 2014

Abstract

Obesity and its related complications have emerged as global health problems; however, the pathophysiological mechanism of obesity is still not fully understood. In this study, C57BL/6J mice were fed a normal (ND) or high-fat diet (HFD) for 0, 2, 4, 6, 8, 12, 20, and 24 weeks and the time course was systemically analyzed specifically for the hepatic transcriptome profile. Genes that were differentially expressed in the HFD-fed mice were clustered into 49 clusters and further classified into 8 different expression patterns: long-term up-regulated (pattern 1), long-term down-regulated (pattern 2), early up-regulated (pattern 3), early down-regulated (pattern 4), late up-regulated (pattern 5), late down-regulated (pattern 6), early up-regulated and late down-regulated (pattern 7), and early down-regulated and late up-regulated (pattern 8) HFD-responsive genes. Within each pattern, genes related with inflammation, insulin re-sistance, and lipid metabolism were extracted, and then, a protein-protein interaction network was generated. The pattern specific sub-network was as follows: pattern 1, cellular assembly and organization, and immunological di-sease, pattern 2, lipid metabolism, pattern 3, gene expression and inflammatory response, pattern 4, cell signaling, pattern 5, lipid metabolism, molecular transport, and small molecule biochemistry, pattern 6, protein synthesis and cell-to cell signaling and interaction and pattern 7, cell-to cell signaling, cellular growth and proliferation, and cell death. For pattern 8, no significant sub-networks were iden- tified. Taken together, this suggests that genes involved in regulating gene expression and inflammatory response are up-regulated whereas genes involved in lipid metabolism and protein synthesis are down-regulated during diet-induced obesity development.

Keywords hepatic genes, microarry, nutrigenomics, obesity

Article

Research Article

Mol. Cells 2013; 36(1): 25-38

Published online July 31, 2013 https://doi.org/10.1007/s10059-013-2336-3

Copyright © The Korean Society for Molecular and Cellular Biology.

A Nutrigenomic Framework to Identify Time-Resolving Responses of Hepatic Genes in Diet-Induced Obese Mice

Hyoung-Sam Heo, Eunjung Kim, Seon-Min Jeon, Eun-Young Kwon, Su-Kyung Shin, Hyojung Paik, Cheol-Goo Hur, and Myung-Sook Choi

1Green Bio Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Korea, 2Division of Bio-Medical Informatics, Center for Genome Science, Korea National Institute of Health, Korea Centers for Disease Control and Prevention, Cheongwon 363-951, Korea, 3Department of Food Science and Nutrition, Catholic University of Daegu, Gyeongsan 712-702, Korea, 4Food and Nutritional Genomics Research Center, Kyungpook National University, Daegu 702-701, Korea, 5Department of Food Science and Nutrition, Kyungpook National University, Daegu 702-701, Korea, 6Department of Biomedical Informatics, Ajou University School of Medicine, Suwon 443-749, Korea, 7These authors contributed equally to this work.

Received: December 21, 2014; Revised: April 8, 2013; Accepted: April 10, 2014

Abstract

Obesity and its related complications have emerged as global health problems; however, the pathophysiological mechanism of obesity is still not fully understood. In this study, C57BL/6J mice were fed a normal (ND) or high-fat diet (HFD) for 0, 2, 4, 6, 8, 12, 20, and 24 weeks and the time course was systemically analyzed specifically for the hepatic transcriptome profile. Genes that were differentially expressed in the HFD-fed mice were clustered into 49 clusters and further classified into 8 different expression patterns: long-term up-regulated (pattern 1), long-term down-regulated (pattern 2), early up-regulated (pattern 3), early down-regulated (pattern 4), late up-regulated (pattern 5), late down-regulated (pattern 6), early up-regulated and late down-regulated (pattern 7), and early down-regulated and late up-regulated (pattern 8) HFD-responsive genes. Within each pattern, genes related with inflammation, insulin re-sistance, and lipid metabolism were extracted, and then, a protein-protein interaction network was generated. The pattern specific sub-network was as follows: pattern 1, cellular assembly and organization, and immunological di-sease, pattern 2, lipid metabolism, pattern 3, gene expression and inflammatory response, pattern 4, cell signaling, pattern 5, lipid metabolism, molecular transport, and small molecule biochemistry, pattern 6, protein synthesis and cell-to cell signaling and interaction and pattern 7, cell-to cell signaling, cellular growth and proliferation, and cell death. For pattern 8, no significant sub-networks were iden- tified. Taken together, this suggests that genes involved in regulating gene expression and inflammatory response are up-regulated whereas genes involved in lipid metabolism and protein synthesis are down-regulated during diet-induced obesity development.

Keywords: hepatic genes, microarry, nutrigenomics, obesity

Mol. Cells
Sep 30, 2023 Vol.46 No.9, pp. 527~572
COVER PICTURE
Chronic obstructive pulmonary disease (COPD) is marked by airspace enlargement (emphysema) and small airway fibrosis, leading to airflow obstruction and eventual respiratory failure. Shown is a microphotograph of hematoxylin and eosin (H&E)-stained histological sections of the enlarged alveoli as an indicator of emphysema. Piao et al. (pp. 558-572) demonstrate that recombinant human hyaluronan and proteoglycan link protein 1 (rhHAPLN1) significantly reduces the extended airspaces of the emphysematous alveoli by increasing the levels of TGF-β receptor I and SIRT1/6, as a previously unrecognized mechanism in human alveolar epithelial cells, and consequently mitigates COPD.

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