Cargando…

Time-course microarray analysis for identifying candidate genes involved in obesity-associated pathological changes in the mouse colon

BACKGROUND: Obesity is known to increase the risk of colorectal cancer. However, mechanisms underlying the pathogenesis of obesity-induced colorectal cancer are not completely understood. The purposes of this study were to identify differentially expressed genes in the colon of mice with diet-induce...

Descripción completa

Detalles Bibliográficos
Autores principales: Bae, Yun Jung, Kim, Sung-Eun, Hong, Seong Yeon, Park, Taesun, Lee, Sang Gyu, Choi, Myung-Sook, Sung, Mi-Kyung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5120484/
https://www.ncbi.nlm.nih.gov/pubmed/27895803
http://dx.doi.org/10.1186/s12263-016-0547-x
_version_ 1782469249650917376
author Bae, Yun Jung
Kim, Sung-Eun
Hong, Seong Yeon
Park, Taesun
Lee, Sang Gyu
Choi, Myung-Sook
Sung, Mi-Kyung
author_facet Bae, Yun Jung
Kim, Sung-Eun
Hong, Seong Yeon
Park, Taesun
Lee, Sang Gyu
Choi, Myung-Sook
Sung, Mi-Kyung
author_sort Bae, Yun Jung
collection PubMed
description BACKGROUND: Obesity is known to increase the risk of colorectal cancer. However, mechanisms underlying the pathogenesis of obesity-induced colorectal cancer are not completely understood. The purposes of this study were to identify differentially expressed genes in the colon of mice with diet-induced obesity and to select candidate genes as early markers of obesity-associated abnormal cell growth in the colon. METHODS: C57BL/6N mice were fed normal diet (11% fat energy) or high-fat diet (40% fat energy) and were euthanized at different time points. Genome-wide expression profiles of the colon were determined at 2, 4, 8, and 12 weeks. Cluster analysis was performed using expression data of genes showing log(2) fold change of ≥1 or ≤−1 (twofold change), based on time-dependent expression patterns, followed by virtual network analysis. RESULTS: High-fat diet-fed mice showed significant increase in body weight and total visceral fat weight over 12 weeks. Time-course microarray analysis showed that 50, 47, 36, and 411 genes were differentially expressed at 2, 4, 8, and 12 weeks, respectively. Ten cluster profiles representing distinguishable patterns of genes differentially expressed over time were determined. Cluster 4, which consisted of genes showing the most significant alterations in expression in response to high-fat diet over 12 weeks, included Apoa4 (apolipoprotein A-IV), Ppap2b (phosphatidic acid phosphatase type 2B), Cel (carboxyl ester lipase), and Clps (colipase, pancreatic), which interacted strongly with surrounding genes associated with colorectal cancer or obesity. CONCLUSIONS: Our data indicate that Apoa4, Ppap2b, Cel, and Clps are candidate early marker genes associated with obesity-related pathological changes in the colon. Genome-wide analyses performed in the present study provide new insights on selecting novel genes that may be associated with the development of diseases of the colon. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12263-016-0547-x) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-5120484
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-51204842016-11-28 Time-course microarray analysis for identifying candidate genes involved in obesity-associated pathological changes in the mouse colon Bae, Yun Jung Kim, Sung-Eun Hong, Seong Yeon Park, Taesun Lee, Sang Gyu Choi, Myung-Sook Sung, Mi-Kyung Genes Nutr Research BACKGROUND: Obesity is known to increase the risk of colorectal cancer. However, mechanisms underlying the pathogenesis of obesity-induced colorectal cancer are not completely understood. The purposes of this study were to identify differentially expressed genes in the colon of mice with diet-induced obesity and to select candidate genes as early markers of obesity-associated abnormal cell growth in the colon. METHODS: C57BL/6N mice were fed normal diet (11% fat energy) or high-fat diet (40% fat energy) and were euthanized at different time points. Genome-wide expression profiles of the colon were determined at 2, 4, 8, and 12 weeks. Cluster analysis was performed using expression data of genes showing log(2) fold change of ≥1 or ≤−1 (twofold change), based on time-dependent expression patterns, followed by virtual network analysis. RESULTS: High-fat diet-fed mice showed significant increase in body weight and total visceral fat weight over 12 weeks. Time-course microarray analysis showed that 50, 47, 36, and 411 genes were differentially expressed at 2, 4, 8, and 12 weeks, respectively. Ten cluster profiles representing distinguishable patterns of genes differentially expressed over time were determined. Cluster 4, which consisted of genes showing the most significant alterations in expression in response to high-fat diet over 12 weeks, included Apoa4 (apolipoprotein A-IV), Ppap2b (phosphatidic acid phosphatase type 2B), Cel (carboxyl ester lipase), and Clps (colipase, pancreatic), which interacted strongly with surrounding genes associated with colorectal cancer or obesity. CONCLUSIONS: Our data indicate that Apoa4, Ppap2b, Cel, and Clps are candidate early marker genes associated with obesity-related pathological changes in the colon. Genome-wide analyses performed in the present study provide new insights on selecting novel genes that may be associated with the development of diseases of the colon. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12263-016-0547-x) contains supplementary material, which is available to authorized users. BioMed Central 2016-11-22 /pmc/articles/PMC5120484/ /pubmed/27895803 http://dx.doi.org/10.1186/s12263-016-0547-x Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Bae, Yun Jung
Kim, Sung-Eun
Hong, Seong Yeon
Park, Taesun
Lee, Sang Gyu
Choi, Myung-Sook
Sung, Mi-Kyung
Time-course microarray analysis for identifying candidate genes involved in obesity-associated pathological changes in the mouse colon
title Time-course microarray analysis for identifying candidate genes involved in obesity-associated pathological changes in the mouse colon
title_full Time-course microarray analysis for identifying candidate genes involved in obesity-associated pathological changes in the mouse colon
title_fullStr Time-course microarray analysis for identifying candidate genes involved in obesity-associated pathological changes in the mouse colon
title_full_unstemmed Time-course microarray analysis for identifying candidate genes involved in obesity-associated pathological changes in the mouse colon
title_short Time-course microarray analysis for identifying candidate genes involved in obesity-associated pathological changes in the mouse colon
title_sort time-course microarray analysis for identifying candidate genes involved in obesity-associated pathological changes in the mouse colon
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5120484/
https://www.ncbi.nlm.nih.gov/pubmed/27895803
http://dx.doi.org/10.1186/s12263-016-0547-x
work_keys_str_mv AT baeyunjung timecoursemicroarrayanalysisforidentifyingcandidategenesinvolvedinobesityassociatedpathologicalchangesinthemousecolon
AT kimsungeun timecoursemicroarrayanalysisforidentifyingcandidategenesinvolvedinobesityassociatedpathologicalchangesinthemousecolon
AT hongseongyeon timecoursemicroarrayanalysisforidentifyingcandidategenesinvolvedinobesityassociatedpathologicalchangesinthemousecolon
AT parktaesun timecoursemicroarrayanalysisforidentifyingcandidategenesinvolvedinobesityassociatedpathologicalchangesinthemousecolon
AT leesanggyu timecoursemicroarrayanalysisforidentifyingcandidategenesinvolvedinobesityassociatedpathologicalchangesinthemousecolon
AT choimyungsook timecoursemicroarrayanalysisforidentifyingcandidategenesinvolvedinobesityassociatedpathologicalchangesinthemousecolon
AT sungmikyung timecoursemicroarrayanalysisforidentifyingcandidategenesinvolvedinobesityassociatedpathologicalchangesinthemousecolon