Cargando…
Hepatic gene expression profiles during fed–fasted–refed state in mice
Background: Regulation of nutrient status during fasting and refeeding plays an important role in maintaining metabolic homeostasis in the liver. Thus, we investigated the impact of the physiological Fed–Fast–Refed cycle on hepatic gene expression in nutrient-sensitive mice. Methods: We performed tr...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020372/ https://www.ncbi.nlm.nih.gov/pubmed/36936413 http://dx.doi.org/10.3389/fgene.2023.1145769 |
_version_ | 1784908245008121856 |
---|---|
author | Ji, Nana Xiang, Liping Zhou, Bing Lu, Yan Zhang, Min |
author_facet | Ji, Nana Xiang, Liping Zhou, Bing Lu, Yan Zhang, Min |
author_sort | Ji, Nana |
collection | PubMed |
description | Background: Regulation of nutrient status during fasting and refeeding plays an important role in maintaining metabolic homeostasis in the liver. Thus, we investigated the impact of the physiological Fed–Fast–Refed cycle on hepatic gene expression in nutrient-sensitive mice. Methods: We performed transcriptomic analysis of liver samples in fed, fasted and refed groups of mice. Through mRNA-sequencing (RNA-Seq) and miRNA-Seq, we compared fasted and fed states (fasted versus fed cohort) as well as refed and fasted states (refed versus fasted cohort) to detect dynamic alterations of hepatic mRNA–miRNA expression during the fed–fasted–refed cycle. Results: We found dozens of dysregulated mRNAs–miRNAs in the transition from fed to fasted and from fasted to refed states. Gene set enrichment analysis showed that gene expression of the two cohorts shared common pathways of regulation, especially for lipid and protein metabolism. We identified eight significant mRNA and three miRNA clusters that were up–downregulated or down–upregulated during the Fed–Fast–Refed cycle. A protein–protein interaction network of dysregulated mRNAs was constructed and clustered into 22 key modules. The regulation between miRNAs and target mRNAs was presented in a network. Up to 42 miRNA–mRNA-pathway pairs were identified to be involved in metabolism. In lipid metabolism, there were significant correlations between mmu-miR-296-5p and Cyp2u1 and between mmu-miR-novel-chr19_16777 and Acsl3. Conclusion: Collectively, our data provide a valuable resource for the molecular characterization of the physiological Fed–Fast–Refed cycle in the liver. |
format | Online Article Text |
id | pubmed-10020372 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100203722023-03-18 Hepatic gene expression profiles during fed–fasted–refed state in mice Ji, Nana Xiang, Liping Zhou, Bing Lu, Yan Zhang, Min Front Genet Genetics Background: Regulation of nutrient status during fasting and refeeding plays an important role in maintaining metabolic homeostasis in the liver. Thus, we investigated the impact of the physiological Fed–Fast–Refed cycle on hepatic gene expression in nutrient-sensitive mice. Methods: We performed transcriptomic analysis of liver samples in fed, fasted and refed groups of mice. Through mRNA-sequencing (RNA-Seq) and miRNA-Seq, we compared fasted and fed states (fasted versus fed cohort) as well as refed and fasted states (refed versus fasted cohort) to detect dynamic alterations of hepatic mRNA–miRNA expression during the fed–fasted–refed cycle. Results: We found dozens of dysregulated mRNAs–miRNAs in the transition from fed to fasted and from fasted to refed states. Gene set enrichment analysis showed that gene expression of the two cohorts shared common pathways of regulation, especially for lipid and protein metabolism. We identified eight significant mRNA and three miRNA clusters that were up–downregulated or down–upregulated during the Fed–Fast–Refed cycle. A protein–protein interaction network of dysregulated mRNAs was constructed and clustered into 22 key modules. The regulation between miRNAs and target mRNAs was presented in a network. Up to 42 miRNA–mRNA-pathway pairs were identified to be involved in metabolism. In lipid metabolism, there were significant correlations between mmu-miR-296-5p and Cyp2u1 and between mmu-miR-novel-chr19_16777 and Acsl3. Conclusion: Collectively, our data provide a valuable resource for the molecular characterization of the physiological Fed–Fast–Refed cycle in the liver. Frontiers Media S.A. 2023-03-03 /pmc/articles/PMC10020372/ /pubmed/36936413 http://dx.doi.org/10.3389/fgene.2023.1145769 Text en Copyright © 2023 Ji, Xiang, Zhou, Lu and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Ji, Nana Xiang, Liping Zhou, Bing Lu, Yan Zhang, Min Hepatic gene expression profiles during fed–fasted–refed state in mice |
title | Hepatic gene expression profiles during fed–fasted–refed state in mice |
title_full | Hepatic gene expression profiles during fed–fasted–refed state in mice |
title_fullStr | Hepatic gene expression profiles during fed–fasted–refed state in mice |
title_full_unstemmed | Hepatic gene expression profiles during fed–fasted–refed state in mice |
title_short | Hepatic gene expression profiles during fed–fasted–refed state in mice |
title_sort | hepatic gene expression profiles during fed–fasted–refed state in mice |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020372/ https://www.ncbi.nlm.nih.gov/pubmed/36936413 http://dx.doi.org/10.3389/fgene.2023.1145769 |
work_keys_str_mv | AT jinana hepaticgeneexpressionprofilesduringfedfastedrefedstateinmice AT xiangliping hepaticgeneexpressionprofilesduringfedfastedrefedstateinmice AT zhoubing hepaticgeneexpressionprofilesduringfedfastedrefedstateinmice AT luyan hepaticgeneexpressionprofilesduringfedfastedrefedstateinmice AT zhangmin hepaticgeneexpressionprofilesduringfedfastedrefedstateinmice |