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Age and sex dependent changes in liver gene expression during the life cycle of the rat

BACKGROUND: Age- and sex-related susceptibility to adverse drug reactions and disease is a key concern in understanding drug safety and disease progression. We hypothesize that the underlying suite of hepatic genes expressed at various life cycle stages will impact susceptibility to adverse drug rea...

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Autores principales: Kwekel, Joshua C, Desai , Varsha G, Moland, Carrie L, Branham, William S, Fuscoe, James C
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3012673/
https://www.ncbi.nlm.nih.gov/pubmed/21118493
http://dx.doi.org/10.1186/1471-2164-11-675
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author Kwekel, Joshua C
Desai , Varsha G
Moland, Carrie L
Branham, William S
Fuscoe, James C
author_facet Kwekel, Joshua C
Desai , Varsha G
Moland, Carrie L
Branham, William S
Fuscoe, James C
author_sort Kwekel, Joshua C
collection PubMed
description BACKGROUND: Age- and sex-related susceptibility to adverse drug reactions and disease is a key concern in understanding drug safety and disease progression. We hypothesize that the underlying suite of hepatic genes expressed at various life cycle stages will impact susceptibility to adverse drug reactions. Understanding the basal liver gene expression patterns is a necessary first step in addressing this hypothesis and will inform our assessments of adverse drug reactions as the liver plays a central role in drug metabolism and biotransformation. Untreated male and female F344 rats were sacrificed at 2, 5, 6, 8, 15, 21, 52, 78, and 104 weeks of age. Liver tissues were collected for histology and gene expression analysis. Whole-genome rat microarrays were used to query global expression profiles. RESULTS: An initial list of differentially expressed genes was selected using criteria based upon p-value (p < 0.05) and fold-change (+/- 1.5). Three dimensional principal component analyses revealed differences between males and females beginning at 2 weeks with more divergent profiles beginning at 5 weeks. The greatest sex-differences were observed between 8 and 52 weeks before converging again at 104 weeks. K-means clustering identified groups of genes that displayed age-related patterns of expression. Various adult aging-related clusters represented gene pathways related to xenobiotic metabolism, DNA damage repair, and oxidative stress. CONCLUSIONS: These results suggest an underlying role for genes in specific clusters in potentiating age- and sex-related differences in susceptibility to adverse health effects. Furthermore, such a comprehensive picture of life cycle changes in gene expression deepens our understanding and informs the utility of liver gene expression biomarkers.
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spelling pubmed-30126732010-12-31 Age and sex dependent changes in liver gene expression during the life cycle of the rat Kwekel, Joshua C Desai , Varsha G Moland, Carrie L Branham, William S Fuscoe, James C BMC Genomics Research Article BACKGROUND: Age- and sex-related susceptibility to adverse drug reactions and disease is a key concern in understanding drug safety and disease progression. We hypothesize that the underlying suite of hepatic genes expressed at various life cycle stages will impact susceptibility to adverse drug reactions. Understanding the basal liver gene expression patterns is a necessary first step in addressing this hypothesis and will inform our assessments of adverse drug reactions as the liver plays a central role in drug metabolism and biotransformation. Untreated male and female F344 rats were sacrificed at 2, 5, 6, 8, 15, 21, 52, 78, and 104 weeks of age. Liver tissues were collected for histology and gene expression analysis. Whole-genome rat microarrays were used to query global expression profiles. RESULTS: An initial list of differentially expressed genes was selected using criteria based upon p-value (p < 0.05) and fold-change (+/- 1.5). Three dimensional principal component analyses revealed differences between males and females beginning at 2 weeks with more divergent profiles beginning at 5 weeks. The greatest sex-differences were observed between 8 and 52 weeks before converging again at 104 weeks. K-means clustering identified groups of genes that displayed age-related patterns of expression. Various adult aging-related clusters represented gene pathways related to xenobiotic metabolism, DNA damage repair, and oxidative stress. CONCLUSIONS: These results suggest an underlying role for genes in specific clusters in potentiating age- and sex-related differences in susceptibility to adverse health effects. Furthermore, such a comprehensive picture of life cycle changes in gene expression deepens our understanding and informs the utility of liver gene expression biomarkers. BioMed Central 2010-11-30 /pmc/articles/PMC3012673/ /pubmed/21118493 http://dx.doi.org/10.1186/1471-2164-11-675 Text en Copyright ©2010 Kwekel et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<url>http://creativecommons.org/licenses/by/2.0</url>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Kwekel, Joshua C
Desai , Varsha G
Moland, Carrie L
Branham, William S
Fuscoe, James C
Age and sex dependent changes in liver gene expression during the life cycle of the rat
title Age and sex dependent changes in liver gene expression during the life cycle of the rat
title_full Age and sex dependent changes in liver gene expression during the life cycle of the rat
title_fullStr Age and sex dependent changes in liver gene expression during the life cycle of the rat
title_full_unstemmed Age and sex dependent changes in liver gene expression during the life cycle of the rat
title_short Age and sex dependent changes in liver gene expression during the life cycle of the rat
title_sort age and sex dependent changes in liver gene expression during the life cycle of the rat
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3012673/
https://www.ncbi.nlm.nih.gov/pubmed/21118493
http://dx.doi.org/10.1186/1471-2164-11-675
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