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A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
Published on: July 1, 2020
Systematic analysis of the associations between adverse drug reactions and pathways
Xiaowen Chen1, Yanqiu Wang1, Pingping Wang1
1College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China.
Abstract:
Adverse drug reactions (ADRs) are responsible for drug candidate failure during clinical trials. It is crucial to investigate biological pathways contributing to ADRs. Here, we applied a large-scale analysis to identify overrepresented ADR-pathway combinations through merging clinical phenotypic data, biological pathway data, and drug-target relations. Evaluation was performed by scientific literature review and defining a pathway-based ADR-ADR similarity measure. The results showed that our method is efficient for finding the associations between ADRs and pathways. To more systematically understand the mechanisms of ADRs, we constructed an ADR-pathway network and an ADR-ADR network. Through network analysis on biology and pharmacology, it was found that frequent ADRs were associated with more pathways than infrequent and rare ADRs. Moreover, environmental information processing pathways contributed most to the observed ADRs. Integrating the system organ class of ADRs, we found that most classes tended to interact with other classes instead of themselves. ADR classes were distributed promiscuously in all the ADR cliques. These results reflected that drug perturbation to a certain pathway can cause changes in multiple organs, rather than in one specific organ. Our work not only provides a global view of the associations between ADRs and pathways, but also is helpful to understand the mechanisms of ADRs.
Insights
This study reveals how biological pathways link to adverse drug reactions (ADRs). Understanding these ADR-pathway connections helps predict and prevent drug failures during clinical trials.
Area of Science:
- Pharmacology
- Systems Biology
- Computational Biology
Background:
- Adverse drug reactions (ADRs) frequently cause drug candidate failure in clinical trials.
- Investigating the biological pathways implicated in ADRs is critical for drug development.
- Current understanding of ADR mechanisms and pathway associations requires systematic analysis.
Purpose of the Study:
- To identify overrepresented combinations of ADRs and biological pathways.
- To construct and analyze networks of ADRs and pathways for mechanistic insights.
- To understand how drug perturbations affect biological systems and lead to ADRs.
Main Methods:
- Large-scale analysis merging clinical data, pathway data, and drug-target relations.
- Construction of an ADR-pathway network and an ADR-ADR network.
- Network analysis incorporating scientific literature review and pathway-based similarity measures.
Main Results:
- The method efficiently identified significant ADR-pathway associations.
- Frequent ADRs were linked to a greater number of pathways compared to rare ADRs.
- Environmental information processing pathways were most frequently associated with ADRs.
- ADR classes predominantly interacted with other classes, indicating pleiotropic effects.
- Drug effects on single pathways can impact multiple organs.
Conclusions:
- This work provides a comprehensive view of ADR-pathway associations.
- The findings enhance the understanding of ADR mechanisms.
- The approach aids in predicting and mitigating drug-induced toxicity.
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