Evidence map›Paper›PMID 31572370›Full record

ArticleFrontiers in immunology2019

Application of Modeling Approaches to Explore Vaccine Adjuvant Mode-of-Action.

Paul R Buckley, Kieran Alden, Margherita Coccia, Aurélie Chalon, Catherine Collignon, Stéphane T Temmerman, Arnaud M Didierlaurent, Robbert van der Most, Jon Timmis, Claus A Andersen and 1 more

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Paul R BuckleyKennedy Institute of Rheumatology, University of Oxford, Oxford, United Kingdom.
Kieran AldenDepartment of Electronic Engineering, University of York, York, United Kingdom.
Margherita CocciaGSK, Rixensart, Belgium.
Aurélie ChalonGSK, Rixensart, Belgium.
Catherine CollignonGSK, Rixensart, Belgium.
Stéphane T TemmermanGSK, Rixensart, Belgium.
Arnaud M DidierlaurentGSK, Rixensart, Belgium.
Robbert van der MostGSK, Rixensart, Belgium.
Jon TimmisDepartment of Electronic Engineering, University of York, York, United Kingdom.
Claus A AndersenGSK, Rixensart, Belgium.
Mark C ColesKennedy Institute of Rheumatology, University of Oxford, Oxford, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Novel adjuvant technologies have a key role in the development of next-generation vaccines, due to their capacity to modulate the duration, strength and quality of the immune response. The AS01 adjuvant is used in the malaria vaccine RTS,S/AS01 and in the licensed herpes-zoster vaccine (Shingrix) where the vaccine has proven its ability to generate protective responses with both robust humoral and T-cell responses. For many years, animal models have provided insights into adjuvant mode-of-action (MoA), generally through investigating individual genes or proteins. Furthermore, modeling and simulation techniques can be utilized to integrate a variety of different data types; ranging from serum biomarkers to large scale "omics" datasets. In this perspective we present a framework to create a holistic integration of pre-clinical datasets and immunological literature in order to develop an evidence-based hypothesis of AS01 adjuvant MoA, creating a unified view of multiple experiments. Furthermore, we highlight how holistic systems-knowledge can serve as a basis for the construction of models and simulations supporting exploration of key questions surrounding adjuvant MoA. Using the Systems-Biology-Graphical-Notation, a tool for graphical representation of biological processes, we have captured high-level cellular behaviors and interactions, and cytokine dynamics during the early immune response, which are substantiated by a series of diagrams detailing cellular dynamics. Through explicitly describing AS01 MoA we have built a consensus of understanding across multiple experiments, and so we present a framework to integrate modeling approaches into exploring adjuvant MoA, in order to guide experimental design, interpret results and inform rational design of vaccines.

Indexed as

Models, BiologicalVaccinesAdjuvants, ImmunologicAnimalsDrug CombinationsHumansLipid ASaponinsAdjuvants, Immunologicadjuvant system 01Drug CombinationsLipid ASaponinsVaccinesadjuvantsAS01computational biologymathematical modelingmechanistic modelingsystems biologyvaccines

Identifiers

PMID31572370
PMCPMC6751289

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.