Evidence map›Paper›PMID 26751339›Full record

ArticleHuman vaccines & immunotherapeutics2016

Vaccinology: The art of putting together the right ingredients.

Alberto Grandi, Michele Tomasi, Guido Grandi

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

3 authors.

Alberto Grandia Externautics SpA , Siena , Italy.
Michele Tomasib CIBIO, Centre for Integrative Biology, University of Trento ; Trento , Italy.
Guido Grandib CIBIO, Centre for Integrative Biology, University of Trento ; Trento , Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Historically vaccines were produced using whole attenuated or killed pathogens and still a large proportion of current vaccines utilizes such procedure. However, for safety and quality reasons the development of novel vaccines is preferentially based on the selection and use of specific pathogen components which alone are capable of eliciting protective immune responses against the pathogens they derived from. The big challenge for vaccinologists is how to select the right antigens and to combine them with proper immune stimulatory components (adjuvants) in order to induce protective immunity. This Commentary outlines the authors' view on the current and future strategies for the efficient and rapid identification of the most effective protective antigens and adjuvants. Since efficacious subunit-based vaccines against recalcitrant pathogens are likely to require more than one antigen and/or immune stimulator, this poses the problem of how to make such vaccines economically acceptable. In this regard, the authors also present their view of how bacterial Outer Membrane Vesicles (OMVs) could become a promising platform for the development of future vaccines. The unique properties of OMVs might be exploited in the field of infectious diseases and oncology.

Indexed as

Adjuvants, ImmunologicAntigens, BacterialBacterial Outer Membrane ProteinsBacterial VaccinesCancer VaccinesComputational BiologyGenomicsHigh-Throughput Screening AssaysProteomicsVaccines, SubunitAdjuvants, ImmunologicAntigens, BacterialBacterial Outer Membrane ProteinsBacterial VaccinesCancer VaccinesVaccines, Subunitadjuvantsbacterial vaccinesbioinformaticscancer vaccinesgenomicshigh throughput screeningOuter Membrane Vesicles (OMVs)protective antigensproteomics

Identifiers

PMID26751339
PMCPMC4963069

What OpenQuestion holds

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LicenceCC BY-NC
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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.