Evidence map›Paper›PMID 26232539›Full record

ReviewVaccine2015

New approaches to understanding the immune response to vaccination and infection.

David Furman, Mark M Davis

Abstract readReview
In one paragraph

Review in Vaccine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 2 pooled it
–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

65 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
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  5. Article
  6. Review
  7. Review
  8. Review
  9. Oncolytic avian reovirus-sensitized tumor infiltrating CD8Cell communication and signaling : CCS · 2024
    Article
  10. Review
  11. Epidemiology, Transmission Mode, and Pathogenesis ofAnimals : an open access journal from MDPI · 2024
    Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Observational
  20. Article

5 more citing papers are in PubMed but not listed here.

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 FurmanInstitute for Immunity, Transplantation and Infection, School of Medicine, Stanford University, Stanford, CA, United States; Department of Microbiology and Immunology, School of Medicine, Stanford University, Stanford, CA, United States.
Mark M DavisInstitute for Immunity, Transplantation and Infection, School of Medicine, Stanford University, Stanford, CA, United States; Department of Microbiology and Immunology, School of Medicine, Stanford University, Stanford, CA, United States; Howard Hughes Medical Institute, School of Medicine, Stanford University, Stanford, CA, United States. Electronic address: mmdavis@stanford.edu.

Funding

Using a tonsil organoid system to probe conditions for the induction of protective antibody and T cell responses to influenza.U19AI057229 · NIAID · STANFORD UNIVERSITY · PI Mark Morris Davis · 2003 to 2026
$88.5M
Vaccination and infection: indicators of immunological health and responsivenessU19AI090019 · NIAID · STANFORD UNIVERSITY · PI DAVIS, MARK MORRIS · 2010 to 2015
$17.3M
Howard Hughes Medical InstituteNIAID NIH HHS AI090019NIAID NIH HHS L30 AI057240NIAID NIH HHS U19 AI057229NIAID NIH HHS U19 AI090019NIAID NIH HHS U19S AI057240
6 · The paper itself

Abstract

The immune system is a network of specialized cell types and tissues that communicates via cytokines and direct contact, to orchestrate specific types of defensive responses. Until recently, we could only study immune responses in a piecemeal, highly focused fashion, on major components like antibodies to the pathogen. But recent advances in technology and in our understanding of the many components of the system, innate and adaptive, have made possible a broader approach, where both the multiple responding cells and cytokines in the blood are measured. This systems immunology approach to a vaccine response or an infection gives us a more holistic picture of the different parts of the immune system that are mobilized and should allow us a much better understanding of the pathways and mechanisms of such responses, as well as to predict vaccine efficacy in different populations well in advance of efficacy studies. Here we summarize the different technologies and methods and discuss how they can inform us about the differences between diseases and vaccines, and how they can greatly accelerate vaccine development.

Indexed as

Adaptive ImmunityImmunity, InnateCytokinesGenomicsHumansInfectionsProtein Array AnalysisSystems BiologyVaccinationVaccinesCytokinesVaccinesComputational immunologyElastic netFeature selectionHigh-throughput methodsHuman immunologyImmune profilingRegularizationSystems immunologyVaccinology

Identifiers

PMID26232539
PMCPMC4581990

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.