ODAE: Ontology-based systematic representation and analysis of drug adverse events and its usage in study of adverse events given different patient age and disease conditions

Abstract Background Drug adverse events (AEs), or called adverse drug events (ADEs), are ranked one of the leading causes of mortality. The Ontology of Adverse Events (OAE) has been widely used for adverse event AE representation, standardization, and analysis. OAE-based ADE-specific ontologies, inc...

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Main Authors: Hong Yu, Solomiya Nysak, Noemi Garg, Edison Ong, Xianwei Ye, Xiangyan Zhang, Yongqun He
Format: Article
Language:English
Published: BMC 2019-05-01
Series:BMC Bioinformatics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12859-019-2729-1
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author Hong Yu
Solomiya Nysak
Noemi Garg
Edison Ong
Xianwei Ye
Xiangyan Zhang
Yongqun He
author_facet Hong Yu
Solomiya Nysak
Noemi Garg
Edison Ong
Xianwei Ye
Xiangyan Zhang
Yongqun He
author_sort Hong Yu
collection DOAJ
description Abstract Background Drug adverse events (AEs), or called adverse drug events (ADEs), are ranked one of the leading causes of mortality. The Ontology of Adverse Events (OAE) has been widely used for adverse event AE representation, standardization, and analysis. OAE-based ADE-specific ontologies, including ODNAE for drug-associated neuropathy-inducing AEs and OCVDAE for cardiovascular drug AEs, have also been developed and used. However, these ADE-specific ontologies do not consider the effects of other factors (e.g., age and drug-treated disease) on the outcomes of ADEs. With more ontological studies of ADEs, it is also critical to develop a general purpose ontology for representing ADEs for various types of drugs. Results Our survey of FDA drug package insert documents and other resources for 224 neuropathy-inducing drugs discovered that many drugs (e.g., sirolimus and linezolid) cause different AEs given patients’ age or the diseases treated by the drugs. To logically represent the complex relations among drug, drug ingredient and mechanism of action, AE, age, disease, and other related factors, an ontology design pattern was developed and applied to generate a community-driven open-source Ontology of Drug Adverse Events (ODAE). The ODAE development follows the OBO Foundry ontology development principles (e.g., openness and collaboration). Built on a generalizable ODAE design pattern and extending the OAE and NDF-RT ontology, ODAE has represented various AEs associated with the over 200 neuropathy-inducing drugs given different age and disease conditions. ODAE is now deposited in the Ontobee for browsing and queries. As a demonstration of usage, a SPARQL query of the ODAE knowledge base was developed to identify all the drugs having the mechanisms of ion channel interactions, the diseases treated with the drugs, and AEs after the treatment in adult patients. AE-specific drug class effects were also explored using ODAE and SPARQL. Conclusion ODAE provides a general representation of ADEs given different conditions and can be used for querying scientific questions. ODAE is also a robust knowledge base and platform for semantic and logic representation and study of ADEs of more drugs in the future.
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spelling doaj.art-0748704869f54a12a437ef2d16c078f82022-12-22T03:15:33ZengBMCBMC Bioinformatics1471-21052019-05-0120S711712810.1186/s12859-019-2729-1ODAE: Ontology-based systematic representation and analysis of drug adverse events and its usage in study of adverse events given different patient age and disease conditionsHong Yu0Solomiya Nysak1Noemi Garg2Edison Ong3Xianwei Ye4Xiangyan Zhang5Yongqun He6Department of Pulmonary and Critical Care Medicine, Guizhou Provincial People’s HospitalCollege of Literature, Science, and the Arts, University of MichiganCollege of Pharmacy, University of MichiganDepartment of Computational Medicine and Bioinformatics, University of Michigan Medical SchoolDepartment of Pulmonary and Critical Care Medicine, Guizhou Provincial People’s HospitalDepartment of Pulmonary and Critical Care Medicine, Guizhou Provincial People’s HospitalUnit for Laboratory Animal Medicine, Department of Microbiology and Immunology, Center for Computational Medicine and Bioinformatics, and Comprehensive Cancer Center, University of Michigan Medical SchoolAbstract Background Drug adverse events (AEs), or called adverse drug events (ADEs), are ranked one of the leading causes of mortality. The Ontology of Adverse Events (OAE) has been widely used for adverse event AE representation, standardization, and analysis. OAE-based ADE-specific ontologies, including ODNAE for drug-associated neuropathy-inducing AEs and OCVDAE for cardiovascular drug AEs, have also been developed and used. However, these ADE-specific ontologies do not consider the effects of other factors (e.g., age and drug-treated disease) on the outcomes of ADEs. With more ontological studies of ADEs, it is also critical to develop a general purpose ontology for representing ADEs for various types of drugs. Results Our survey of FDA drug package insert documents and other resources for 224 neuropathy-inducing drugs discovered that many drugs (e.g., sirolimus and linezolid) cause different AEs given patients’ age or the diseases treated by the drugs. To logically represent the complex relations among drug, drug ingredient and mechanism of action, AE, age, disease, and other related factors, an ontology design pattern was developed and applied to generate a community-driven open-source Ontology of Drug Adverse Events (ODAE). The ODAE development follows the OBO Foundry ontology development principles (e.g., openness and collaboration). Built on a generalizable ODAE design pattern and extending the OAE and NDF-RT ontology, ODAE has represented various AEs associated with the over 200 neuropathy-inducing drugs given different age and disease conditions. ODAE is now deposited in the Ontobee for browsing and queries. As a demonstration of usage, a SPARQL query of the ODAE knowledge base was developed to identify all the drugs having the mechanisms of ion channel interactions, the diseases treated with the drugs, and AEs after the treatment in adult patients. AE-specific drug class effects were also explored using ODAE and SPARQL. Conclusion ODAE provides a general representation of ADEs given different conditions and can be used for querying scientific questions. ODAE is also a robust knowledge base and platform for semantic and logic representation and study of ADEs of more drugs in the future.http://link.springer.com/article/10.1186/s12859-019-2729-1DrugOntologyDrug adverse eventOntology of drug adverse eventsODAEBioinformatics
spellingShingle Hong Yu
Solomiya Nysak
Noemi Garg
Edison Ong
Xianwei Ye
Xiangyan Zhang
Yongqun He
ODAE: Ontology-based systematic representation and analysis of drug adverse events and its usage in study of adverse events given different patient age and disease conditions
BMC Bioinformatics
Drug
Ontology
Drug adverse event
Ontology of drug adverse events
ODAE
Bioinformatics
title ODAE: Ontology-based systematic representation and analysis of drug adverse events and its usage in study of adverse events given different patient age and disease conditions
title_full ODAE: Ontology-based systematic representation and analysis of drug adverse events and its usage in study of adverse events given different patient age and disease conditions
title_fullStr ODAE: Ontology-based systematic representation and analysis of drug adverse events and its usage in study of adverse events given different patient age and disease conditions
title_full_unstemmed ODAE: Ontology-based systematic representation and analysis of drug adverse events and its usage in study of adverse events given different patient age and disease conditions
title_short ODAE: Ontology-based systematic representation and analysis of drug adverse events and its usage in study of adverse events given different patient age and disease conditions
title_sort odae ontology based systematic representation and analysis of drug adverse events and its usage in study of adverse events given different patient age and disease conditions
topic Drug
Ontology
Drug adverse event
Ontology of drug adverse events
ODAE
Bioinformatics
url http://link.springer.com/article/10.1186/s12859-019-2729-1
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