Systems Immunology: Revealing Influenza Immunological Imprint.
artificial intelligence
data mining
influenza
influenza vaccines
machine learning
multi-omics integrative analysis
protective immunity
systems immunology
Journal
Viruses
ISSN: 1999-4915
Titre abrégé: Viruses
Pays: Switzerland
ID NLM: 101509722
Informations de publication
Date de publication:
20 05 2021
20 05 2021
Historique:
received:
14
04
2021
revised:
19
05
2021
accepted:
19
05
2021
entrez:
2
6
2021
pubmed:
3
6
2021
medline:
17
8
2021
Statut:
epublish
Résumé
Understanding protective influenza immunity and identifying immune correlates of protection poses a major challenge and requires an appreciation of the immune system in all of its complexity. While adaptive immune responses such as neutralizing antibodies and influenza-specific T lymphocytes are contributing to the control of influenza virus, key factors of long-term protection are not well defined. Using systems immunology, an approach that combines experimental and computational methods, we can capture the systems-level state of protective immunity and reveal the essential pathways that are involved. New approaches and technological developments in systems immunology offer an opportunity to examine roles and interrelationships of clinical, biological, and genetic factors in the control of influenza infection and have the potential to lead to novel discoveries about influenza immunity that are essential for the development of more effective vaccines to prevent future pandemics. Here, we review recent developments in systems immunology that help to reveal key factors mediating protective immunity.
Identifiants
pubmed: 34065617
pii: v13050948
doi: 10.3390/v13050948
pmc: PMC8160800
pii:
doi:
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
Subventions
Organisme : NIAID NIH HHS
ID : U19 AI057229
Pays : United States
Organisme : Howard Hughes Medical Institute
Pays : United States
Organisme : NIAID NIH HHS
ID : U19 AI090019
Pays : United States
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