Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/162635
Title: | Improving Vaccine-Induced Immunity: Can Baseline Predict Outcome? |
Author: | Tsang, John S. Dobaño, Carlota, 1969- VanDamme, Pierre Moncunill, Gemma Marchant, Arnaud Othman, Rym Ben Sadarangani, Manish Koff, Wayne C. Kollmann, Tobias R. |
Keywords: | Vacunació Immunitat Vaccination Immunity |
Issue Date: | 8-Apr-2020 |
Publisher: | Elsevier B.V. |
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. |
Note: | Reproducció del document publicat a: http://dx.doi.org/10.1016/j.it.2020.04.001 |
It is part of: | Trends In Immunology , 2020 , Online ahead of print |
URI: | http://hdl.handle.net/2445/162635 |
Related resource: | http://dx.doi.org/ 10.1016/j.it.2020.04.001 |
ISSN: | 1471-4906 |
Appears in Collections: | Articles publicats en revistes (ISGlobal) |
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Tsang_JS_Trends_Inmunol_2020.pdf | 786.64 kB | Adobe PDF | View/Open |
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