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Characterization of Chemically Induced Liver Injuries Using Gene Co-Expression Modules
Liver injuries due to ingestion or exposure to chemicals and industrial toxicants pose a serious health risk that may be hard to assess due to a lack of non-invasive diagnostic tests. Mapping chemical injuries to organ-specific damage and clinical outcomes via biomarkers or biomarker panels will pro...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4165895/ https://www.ncbi.nlm.nih.gov/pubmed/25226513 http://dx.doi.org/10.1371/journal.pone.0107230 |
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author | Tawa, Gregory J. AbdulHameed, Mohamed Diwan M. Yu, Xueping Kumar, Kamal Ippolito, Danielle L. Lewis, John A. Stallings, Jonathan D. Wallqvist, Anders |
author_facet | Tawa, Gregory J. AbdulHameed, Mohamed Diwan M. Yu, Xueping Kumar, Kamal Ippolito, Danielle L. Lewis, John A. Stallings, Jonathan D. Wallqvist, Anders |
author_sort | Tawa, Gregory J. |
collection | PubMed |
description | Liver injuries due to ingestion or exposure to chemicals and industrial toxicants pose a serious health risk that may be hard to assess due to a lack of non-invasive diagnostic tests. Mapping chemical injuries to organ-specific damage and clinical outcomes via biomarkers or biomarker panels will provide the foundation for highly specific and robust diagnostic tests. Here, we have used DrugMatrix, a toxicogenomics database containing organ-specific gene expression data matched to dose-dependent chemical exposures and adverse clinical pathology assessments in Sprague Dawley rats, to identify groups of co-expressed genes (modules) specific to injury endpoints in the liver. We identified 78 such gene co-expression modules associated with 25 diverse injury endpoints categorized from clinical pathology, organ weight changes, and histopathology. Using gene expression data associated with an injury condition, we showed that these modules exhibited different patterns of activation characteristic of each injury. We further showed that specific module genes mapped to 1) known biochemical pathways associated with liver injuries and 2) clinically used diagnostic tests for liver fibrosis. As such, the gene modules have characteristics of both generalized and specific toxic response pathways. Using these results, we proposed three gene signature sets characteristic of liver fibrosis, steatosis, and general liver injury based on genes from the co-expression modules. Out of all 92 identified genes, 18 (20%) genes have well-documented relationships with liver disease, whereas the rest are novel and have not previously been associated with liver disease. In conclusion, identifying gene co-expression modules associated with chemically induced liver injuries aids in generating testable hypotheses and has the potential to identify putative biomarkers of adverse health effects. |
format | Online Article Text |
id | pubmed-4165895 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-41658952014-09-22 Characterization of Chemically Induced Liver Injuries Using Gene Co-Expression Modules Tawa, Gregory J. AbdulHameed, Mohamed Diwan M. Yu, Xueping Kumar, Kamal Ippolito, Danielle L. Lewis, John A. Stallings, Jonathan D. Wallqvist, Anders PLoS One Research Article Liver injuries due to ingestion or exposure to chemicals and industrial toxicants pose a serious health risk that may be hard to assess due to a lack of non-invasive diagnostic tests. Mapping chemical injuries to organ-specific damage and clinical outcomes via biomarkers or biomarker panels will provide the foundation for highly specific and robust diagnostic tests. Here, we have used DrugMatrix, a toxicogenomics database containing organ-specific gene expression data matched to dose-dependent chemical exposures and adverse clinical pathology assessments in Sprague Dawley rats, to identify groups of co-expressed genes (modules) specific to injury endpoints in the liver. We identified 78 such gene co-expression modules associated with 25 diverse injury endpoints categorized from clinical pathology, organ weight changes, and histopathology. Using gene expression data associated with an injury condition, we showed that these modules exhibited different patterns of activation characteristic of each injury. We further showed that specific module genes mapped to 1) known biochemical pathways associated with liver injuries and 2) clinically used diagnostic tests for liver fibrosis. As such, the gene modules have characteristics of both generalized and specific toxic response pathways. Using these results, we proposed three gene signature sets characteristic of liver fibrosis, steatosis, and general liver injury based on genes from the co-expression modules. Out of all 92 identified genes, 18 (20%) genes have well-documented relationships with liver disease, whereas the rest are novel and have not previously been associated with liver disease. In conclusion, identifying gene co-expression modules associated with chemically induced liver injuries aids in generating testable hypotheses and has the potential to identify putative biomarkers of adverse health effects. Public Library of Science 2014-09-16 /pmc/articles/PMC4165895/ /pubmed/25226513 http://dx.doi.org/10.1371/journal.pone.0107230 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. |
spellingShingle | Research Article Tawa, Gregory J. AbdulHameed, Mohamed Diwan M. Yu, Xueping Kumar, Kamal Ippolito, Danielle L. Lewis, John A. Stallings, Jonathan D. Wallqvist, Anders Characterization of Chemically Induced Liver Injuries Using Gene Co-Expression Modules |
title | Characterization of Chemically Induced Liver Injuries Using Gene Co-Expression Modules |
title_full | Characterization of Chemically Induced Liver Injuries Using Gene Co-Expression Modules |
title_fullStr | Characterization of Chemically Induced Liver Injuries Using Gene Co-Expression Modules |
title_full_unstemmed | Characterization of Chemically Induced Liver Injuries Using Gene Co-Expression Modules |
title_short | Characterization of Chemically Induced Liver Injuries Using Gene Co-Expression Modules |
title_sort | characterization of chemically induced liver injuries using gene co-expression modules |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4165895/ https://www.ncbi.nlm.nih.gov/pubmed/25226513 http://dx.doi.org/10.1371/journal.pone.0107230 |
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