Evidence map›Paper›PMID 28877692›Full record

ArticleJournal of nanobiotechnology2017

The use of a P. falciparum specific coiled-coil domain to construct a self-assembling protein nanoparticle vaccine to prevent malaria.

Christopher P Karch, Tais A P F Doll, Sara M Paulillo, Issa Nebie, David E Lanar, Giampietro Corradin, Peter Burkhard

Open access · goldAbstract read
In one paragraph

Article in Journal of nanobiotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.7field-weighted citation impact, top 5% of its field
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

17 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Frontiers in immunology · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

7 authors at 4 institutions in 4 countries.

Christopher P KarchInstitute of Materials Science, University of Connecticut, Storrs, CT, 06269-3136, USA.
Tais A P F DollInstitute of Materials Science, University of Connecticut, Storrs, CT, 06269-3136, USA.
Sara M PaulilloAlpha-O Peptides AG, 4125, Riehen, Switzerland.
Issa NebieCentre National de Recherche et de Formation sur le Paludisme, 01 BP 2208, Ouagadougou, West Africa, Burkina Faso.
David E LanarMalaria Vaccine Branch, USMMRP-WRAIR, Walter Reed Army Institute of Research, Silver Spring, MD, 20910, USA.
Giampietro CorradinBiochemistry Department, University of Lausanne, 1066, Epalinges, Switzerland. giampietro.corradin@unil.ch.
Peter BurkhardInstitute of Materials Science, University of Connecticut, Storrs, CT, 06269-3136, USA. peter.burkhard@aopeptides.ch.ORCID http://orcid.org/0000-0003-2961-7306
University of Connecticut · USCentre National de Recherche et de Formation sur le Paludisme · BFUniversity of Lausanne · CHWalter Reed Army Institute of Research · US

Funding

Malaria Vaccine Based on Self-Assembling Polypeptide Nanoparticles (SAPN)R01AI068761 · NIAID · UNIVERSITY OF CONNECTICUT STORRS · PI BURKHARD, PETER, LANAR, DAVID ERVIN · 2009 to 2012
$2.1M
NIAID NIH HHS R01 AI068761
6 · The paper itself

Abstract

backgroundThe parasitic disease malaria remains a major global public health concern and no truly effective vaccine exists. One approach to the development of a malaria vaccine is to target the asexual blood stage that results in clinical symptoms. Most attempts have failed. New antigens such as P27A and P27 have emerged as potential new vaccine candidates. Multiple studies have demonstrated that antigens are more immunogenic and are better correlated with protection when presented on particulate delivery systems. One such particulate delivery system is the self-assembling protein nanoparticle (SAPN) that relies on coiled-coil domains of proteins to form stable nanoparticles. In the past we have used de novo designed amino acid domains to drive the formation of the coiled-coil scaffolds which present the antigenic epitopes on the particle surface.

resultsHere we use naturally occurring domains found in the tex1 protein to form the coiled-coil scaffolding of the nanoparticle. Thus, by engineering P27A and a new extended form of the coiled-coil domain P27 onto the N and C terminus of the SAPN protein monomer we have developed a particulate delivery system that effectively displays both antigens on a single particle that uses malaria tex1 sequences to form the nanoparticle scaffold. These particles are immunogenic in a murine model and induce immune responses similar to the ones observed in seropositive individuals in malaria endemic regions.

conclusionsWe demonstrate that our P27/P27A-SAPNs induce an immune response akin to the one in seropositive individuals in Burkina Faso. Since P27 is highly conserved among different Plasmodium species, these novel SAPNs may even provide cross-protection between Plasmodium falciparum and Plasmodium vivax the two major human malaria pathogens. As the SAPNs are also easy to manufacture and store they can be delivered to the population in need without complication thus providing a low cost malaria vaccine.

Indexed as

Amino Acid SequenceAnimalsAntigens, ProtozoanHumansImmunizationMalaria, FalciparumMalaria VaccinesMiceMice, Inbred BALB CModels, MolecularNanoparticlesPlasmodium falciparumProliferating Cell Nuclear AntigenProtein DomainsProtein EngineeringProtozoan ProteinsAntigens, ProtozoanMalaria Vaccinesp27 antigenProliferating Cell Nuclear AntigenProtozoan ProteinsTex1 protein, Plasmodium falciparumBlood stageMalariaP27P27AProtein nanoparticlesSelf-assemblyTex1Vaccine

Identifiers

PMID28877692
PMCPMC5588597
OpenAlexW2750997098

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.