Files

Tsang_JS_Trends_Inmunol_2020.pdf (786.64 KB)

Document type

Article

Version

Published version

Publication date

2020-04-08

Publication license

cc-by-nc-nd (c) Elsevier, 2020
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/162635

Improving Vaccine-Induced Immunity: Can Baseline Predict Outcome?

Journal Title

Authors

Director/Tutor

Journal ISSN

Volume Title

Related resource

http://dx.doi.org/ 10.1016/j.it.2020.04.001

Abstract

Immune signatures measured at baseline and immediately prior to vaccination may predict the immune response to vaccination. Such pre-vaccine assessment might allow not only population-based, but also more personalized vaccination strategies ('precision vaccination'). If baseline immune signatures are predictive, the underlying mechanism they reflect may also determine vaccination outcome. Thus, baseline signatures might contribute to identifying interventional targets to be modulated prior to vaccination in order to improve vaccination responses. This concept has the potential to transform vaccination strategies and usher in a new approach to improve global health.

Subject

Vacunació, Immunitat

Subject (English)

Vaccination, Immunity

Citation

Collections

Articles publicats en revistes (ISGlobal)

Citation

TSANG, John S., et al. Improving Vaccine-Induced Immunity: Can Baseline Predict Outcome?. Trends In Immunology . 2020. Vol.  Online ahead of print. ISSN 1471-4906. [consulted: 15 of June of 2026]. Available at: https://hdl.handle.net/2445/162635

Export metadata

JSON - METS

Share record