Improving Vaccine-Induced Immunity: Can Baseline Predict Outcome?. Issue 6 (June 2020)
- Record Type:
- Journal Article
- Title:
- Improving Vaccine-Induced Immunity: Can Baseline Predict Outcome?. Issue 6 (June 2020)
- Main Title:
- Improving Vaccine-Induced Immunity: Can Baseline Predict Outcome?
- Authors:
- Tsang, John S.
Dobaño, Carlota
VanDamme, Pierre
Moncunill, Gemma
Marchant, Arnaud
Othman, Rym Ben
Sadarangani, Manish
Koff, Wayne C.
Kollmann, Tobias R. - Abstract:
- 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. Highlights: Extensive baseline variability in immune responses (e.g., antibody titers) among individuals in given populations is increasingly being appreciated as a major contributor to vaccine response heterogeneity. The concept of 'baseline may predict outcome' has recently been reported for human influenza virus, yellow fever virus, and hepatitis B virus, as well as malaria vaccination. This concept might also apply to other vaccines. The ability to predict who might respond to immunization (and to what extent) might offer avenues for optimization of current vaccination strategies. We posit that this simple concept might be useful and significant for vaccine design: if ' baseline determines outcome, then altering baseline prior to vaccination could alter outcome'. This approach could potentially leadAbstract : 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. Highlights: Extensive baseline variability in immune responses (e.g., antibody titers) among individuals in given populations is increasingly being appreciated as a major contributor to vaccine response heterogeneity. The concept of 'baseline may predict outcome' has recently been reported for human influenza virus, yellow fever virus, and hepatitis B virus, as well as malaria vaccination. This concept might also apply to other vaccines. The ability to predict who might respond to immunization (and to what extent) might offer avenues for optimization of current vaccination strategies. We posit that this simple concept might be useful and significant for vaccine design: if ' baseline determines outcome, then altering baseline prior to vaccination could alter outcome'. This approach could potentially lead to tailored (precision) vaccines ensuring that the majority, or all individuals vaccinated, respond by eliciting a protective immune response (i.e., devoid of non-responder individuals). Presumably, this approach might also allow the administration of fewer vaccine doses, potentially arriving at one vaccine dose only. … (more)
- Is Part Of:
- Trends in immunology. Volume 41:Issue 6(2020)
- Journal:
- Trends in immunology
- Issue:
- Volume 41:Issue 6(2020)
- Issue Display:
- Volume 41, Issue 6 (2020)
- Year:
- 2020
- Volume:
- 41
- Issue:
- 6
- Issue Sort Value:
- 2020-0041-0006-0000
- Page Start:
- 457
- Page End:
- 465
- Publication Date:
- 2020-06
- Subjects:
- Immunology -- Periodicals
571.96 - Journal URLs:
- http://www.sciencedirect.com/science/journal/14714906 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.it.2020.04.001 ↗
- Languages:
- English
- ISSNs:
- 1471-4906
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9049.630500
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 15163.xml