Publication
Systems Analysis of Immunity to Influenza Vaccination across Multiple Years and in Diverse Populations Reveals Shared Molecular Signatures
Downloadable Content
- Persistent URL
- Last modified
- 02/20/2025
- Type of Material
- Authors
- Language
- English
- Date
- 2015-12-15
- Publisher
- Elsevier (Cell Press)
- Publication Version
- Copyright Statement
- © 2015 Elsevier Inc.
- Final Published Version (URL)
- Title of Journal or Parent Work
- ISSN
- 1074-7613
- Volume
- 43
- Issue
- 6
- Start Page
- 1186
- End Page
- 1198
- Grant/Funding Information
- H.I.N. receives a CNPq (Brazilian Research Council) research fellowship.
- This work was supported by NIH grants U19AI090023 (B.P.), U19AI057266 (R.A. and B.P.), HHSN272201400004C (B.P.), U54AI057157 (B.P.), R37AI48638 (B.P.), and R37DK057665 (B.P.) and NSF Grant STC-0939370 (S.S.).
- Supplemental Material (URL)
- Abstract
- Systems approaches have been used to describe molecular signatures driving immunity to influenza vaccination in humans. Whether such signatures are similar across multiple seasons and in diverse populations is unknown. We applied systems approaches to study immune responses in young, elderly, and diabetic subjects vaccinated with the seasonal influenza vaccine across five consecutive seasons. Signatures of innate immunity and plasmablasts correlated with and predicted influenza antibody titers at 1 month after vaccination with >80% accuracy across multiple seasons but were not associated with the longevity of the response. Baseline signatures of lymphocyte and monocyte inflammation were positively and negatively correlated, respectively, with antibody responses at 1 month. Finally, integrative analysis of microRNAs and transcriptomic profiling revealed potential regulators of vaccine immunity. These results identify shared vaccine-induced signatures across multiple seasons and in diverse populations and might help guide the development of next-generation vaccines that provide persistent immunity against influenza.
- Author Notes
- Keywords
- Research Categories
- Biology, Microbiology
- Health Sciences, Immunology
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