Ontology-based Precision Vaccinology for Deep Mechanism Understanding and Precision Vaccine Development.

Vaccine adverse event ontology ontology of adverse events precision vaccine precision vaccinology vaccine ontology

Journal

Current pharmaceutical design
ISSN: 1873-4286
Titre abrégé: Curr Pharm Des
Pays: United Arab Emirates
ID NLM: 9602487

Informations de publication

Date de publication:
2021
Historique:
received: 31 05 2020
accepted: 08 10 2020
pubmed: 27 11 2020
medline: 27 4 2021
entrez: 26 11 2020
Statut: ppublish

Résumé

Vaccination is one of the most important innovations in human history. It has also become a hot research area in a new application - the development of new vaccines against non-infectious diseases such as cancers. However, effective and safe vaccines still do not exist for many diseases, and where vaccines exist, their protective immune mechanisms are often unclear. Although licensed vaccines are generally safe, various adverse events, and sometimes severe adverse events, still exist for a small population. Precision medicine tailors medical intervention to the personal characteristics of individual patients or sub-populations of individuals with similar immunity-related characteristics. Precision vaccinology is a new strategy that applies precision medicine to the development, administration, and post-administration analysis of vaccines. Several conditions contribute to make this the right time to embark on the development of precision vaccinology. First, the increased level of research in vaccinology has generated voluminous "big data" repositories of vaccinology data. Secondly, new technologies such as multi-omics and immunoinformatics bring new methods for investigating vaccines and immunology. Finally, the advent of AI and machine learning software now makes possible the marriage of Big Data to the development of new vaccines in ways not possible before. However, something is missing in this marriage, and that is a common language that facilitates the correlation, analysis, and reporting nomenclature for the field of vaccinology. Solving this bioinformatics problem is the domain of applied biomedical ontology. Ontology in the informatics field is human- and machine-interpretable representation of entities and the relations among entities in a specific domain. The Vaccine Ontology (VO) and Ontology of Vaccine Adverse Events (OVAE) have been developed to support the standard representation of vaccines, vaccine components, vaccinations, host responses, and vaccine adverse events. Many other biomedical ontologies have also been developed and can be applied in vaccine research. Here, we review the current status of precision vaccinology and how ontological development will enhance this field, and propose an ontology-based precision vaccinology strategy to support precision vaccine research and development.

Identifiants

pubmed: 33238868
pii: CPD-EPUB-111824
doi: 10.2174/1381612826666201125112131
doi:

Substances chimiques

Vaccines 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

900-910

Informations de copyright

Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Auteurs

Jiangan Xie (J)

Chongqing Engineering Research Center of Medical Electronics and Information Technology, School of Bioinformatics, Chongqing University of Posts and Telecommunications, Chongqing, China.

Wenrui Zi (W)

Chongqing engineering research center of medical electronics and information technology, School of Bioinformatics, Chongqing University of Posts and Telecommunications, Chongqing, China.

Zhangyong Li (Z)

Chongqing engineering research center of medical electronics and information technology, School of Bioinformatics, Chongqing University of Posts and Telecommunications, Chongqing, China.

Yongqun He (Y)

Unit of Laboratory Animal Medicine, Development of Microbiology and Immunology, Center of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan, United States.

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