Evidence map›Paper›PMID 26380327›Full record

ReviewJournal of immunology research2015

Application of "Systems Vaccinology" to Evaluate Inflammation and Reactogenicity of Adjuvanted Preventative Vaccines.

David J M Lewis, Mark P Lythgoe

Abstract readReview
In one paragraph

Review in Journal of immunology research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Future Goals and Long-term Vision of the Infectious Diseases Clinical Research Consortium/Vaccine and Treatment Evaluation Unit Network.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Current Challenges in Vaccinology.Frontiers in immunology · 2020
    Review
  14. Article
  15. Article
  16. Vaccine safety: An evolving evidence-based science.British journal of clinical pharmacology · 2019
    Article
  17. Article
  18. Review
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

David J M LewisClinical Research Centre, University of Surrey, Guildford GU2 7AX, UK.
Mark P LythgoeClinical Research Facility, Imperial College Healthcare NHS Trust, London W12 0HS, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in "omics" technology (transcriptomics, proteomics, metabolomics, genomics/epigenomics, etc.) allied with statistical and bioinformatics tools are providing insights into basic mechanisms of vaccine and adjuvant efficacy or inflammation/reactogenicity. Predictive biomarkers of relatively frequent inflammatory reactogenicity may be identified in systems vaccinology studies involving tens or hundreds of participants and used to screen new vaccines and adjuvants in in vitro, ex vivo, animal, or human models. The identification of rare events (such as those observed with initial rotavirus vaccine or suspected autoimmune complications) will require interrogation of large data sets and population-based research before application of systems vaccinology. The Innovative Medicine Initiative funded public-private project BIOVACSAFE is an initial attempt to systematically identify biomarkers of relatively common inflammatory events after adjuvanted immunization using human, animal, and population-based models. Discriminatory profiles or biomarkers are being identified, which require validation in large trials involving thousands of participants before they can be generalized. Ultimately, it is to be hoped that the knowledge gained from such initiatives will provide tools to the industry, academia, and regulators to select optimal noninflammatory but immunogenic and effective vaccine adjuvant combinations, thereby shortening product development cycles and identifying unsuitable vaccine candidates that would fail in expensive late stage development or postmarketing.

Indexed as

Adjuvants, ImmunologicAnimalsBiomarkersDatabases, FactualGenetic Predisposition to DiseaseHumansImmunity, InnateImmunizationInflammationModels, AnimalVaccinesAdjuvants, ImmunologicBiomarkersVaccines

Identifiers

PMID26380327
PMCPMC4562180

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.