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Using Systems Biology-based Analysis Approaches to Identify Mechanistically Significant Adverse Drug Reactions: Pulmonary Complications from Combined Use of Anti-TNFα Agents and Corticosteroids
Anti-TNF drugs are frequently associated with serious Adverse Events (AEs), which necessitates an improved understanding of individual factors that determine efficacy and safety of anti-TNF agents. We mined the US FDA’s Adverse Event Reporting System (AERS) for anti-TNF-associated AEs to identify an...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Informatics Association
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3814486/ https://www.ncbi.nlm.nih.gov/pubmed/24303326 |
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author | Sarangdhar, Mayur Kushwaha, Akash Dahlquist, Jeanine Jegga, Anil Aronow, Bruce |
author_facet | Sarangdhar, Mayur Kushwaha, Akash Dahlquist, Jeanine Jegga, Anil Aronow, Bruce |
author_sort | Sarangdhar, Mayur |
collection | PubMed |
description | Anti-TNF drugs are frequently associated with serious Adverse Events (AEs), which necessitates an improved understanding of individual factors that determine efficacy and safety of anti-TNF agents. We mined the US FDA’s Adverse Event Reporting System (AERS) for anti-TNF-associated AEs to identify and stratify patient subgroups and drug combinations that exhibit specifically correlated complications. We demonstrate the existence of patient subgroup and anti-TNF agent-specific associations for relative risks of developing known and novel AEs including infections, edema, and organ damage associated processes. Concomitant use of anti-TNFs with corticosteroids significantly increased risk of AEs (p < 0.001) including pulmonary fibrosis and pulmonary edema. Using these tightly correlated phenotypes, we mined mouse phenotype data to identify the molecular basis of these AEs. Multiple pathways and networks that regulate injury response, fluid regulation, and wound healing were implicated suggesting modification of anti-TNF-based therapeutic strategies to minimize corticosteroid-based combinatorial risk of severe AEs. |
format | Online Article Text |
id | pubmed-3814486 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | American Medical Informatics Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-38144862013-12-03 Using Systems Biology-based Analysis Approaches to Identify Mechanistically Significant Adverse Drug Reactions: Pulmonary Complications from Combined Use of Anti-TNFα Agents and Corticosteroids Sarangdhar, Mayur Kushwaha, Akash Dahlquist, Jeanine Jegga, Anil Aronow, Bruce AMIA Jt Summits Transl Sci Proc Articles Anti-TNF drugs are frequently associated with serious Adverse Events (AEs), which necessitates an improved understanding of individual factors that determine efficacy and safety of anti-TNF agents. We mined the US FDA’s Adverse Event Reporting System (AERS) for anti-TNF-associated AEs to identify and stratify patient subgroups and drug combinations that exhibit specifically correlated complications. We demonstrate the existence of patient subgroup and anti-TNF agent-specific associations for relative risks of developing known and novel AEs including infections, edema, and organ damage associated processes. Concomitant use of anti-TNFs with corticosteroids significantly increased risk of AEs (p < 0.001) including pulmonary fibrosis and pulmonary edema. Using these tightly correlated phenotypes, we mined mouse phenotype data to identify the molecular basis of these AEs. Multiple pathways and networks that regulate injury response, fluid regulation, and wound healing were implicated suggesting modification of anti-TNF-based therapeutic strategies to minimize corticosteroid-based combinatorial risk of severe AEs. American Medical Informatics Association 2013-03-18 /pmc/articles/PMC3814486/ /pubmed/24303326 Text en ©2013 AMIA - All rights reserved. |
spellingShingle | Articles Sarangdhar, Mayur Kushwaha, Akash Dahlquist, Jeanine Jegga, Anil Aronow, Bruce Using Systems Biology-based Analysis Approaches to Identify Mechanistically Significant Adverse Drug Reactions: Pulmonary Complications from Combined Use of Anti-TNFα Agents and Corticosteroids |
title | Using Systems Biology-based Analysis Approaches to Identify Mechanistically Significant Adverse Drug Reactions: Pulmonary Complications from Combined Use of Anti-TNFα Agents and Corticosteroids |
title_full | Using Systems Biology-based Analysis Approaches to Identify Mechanistically Significant Adverse Drug Reactions: Pulmonary Complications from Combined Use of Anti-TNFα Agents and Corticosteroids |
title_fullStr | Using Systems Biology-based Analysis Approaches to Identify Mechanistically Significant Adverse Drug Reactions: Pulmonary Complications from Combined Use of Anti-TNFα Agents and Corticosteroids |
title_full_unstemmed | Using Systems Biology-based Analysis Approaches to Identify Mechanistically Significant Adverse Drug Reactions: Pulmonary Complications from Combined Use of Anti-TNFα Agents and Corticosteroids |
title_short | Using Systems Biology-based Analysis Approaches to Identify Mechanistically Significant Adverse Drug Reactions: Pulmonary Complications from Combined Use of Anti-TNFα Agents and Corticosteroids |
title_sort | using systems biology-based analysis approaches to identify mechanistically significant adverse drug reactions: pulmonary complications from combined use of anti-tnfα agents and corticosteroids |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3814486/ https://www.ncbi.nlm.nih.gov/pubmed/24303326 |
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