Evidence map›Paper›PMID 29367948›Full record

ArticleACS biomaterials science & engineering2016

Viruslike Particles Encapsidating Respiratory Syncytial Virus M and M2 Proteins Induce Robust T Cell Responses.

Benjamin Schwarz, Kaitlyn M Morabito, Tracy J Ruckwardt, Dustin P Patterson, John Avera, Heini M Miettinen, Barney S Graham, Trevor Douglas

Abstract read
In one paragraph

Article in ACS biomaterials science & engineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

35 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
  2. CD8MedComm · 2026
    Review
  3. Chemical reviews · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Bacteriophage Virus-Like Particles: Platforms for Vaccine Design.Methods in molecular biology (Clifton, N.J.) · 2024
    Review
  10. Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. Review
  17. Review
  18. Review
  19. Article
  20. Advancements in protein nanoparticle vaccine platforms to combat infectious disease.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2021
    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

8 authors at 5 institutions in 1 country.

Benjamin SchwarzDepartment of Chemistry, Indiana University, 800 East Kirkwood Avenue, Bloomington, Indiana 47405, United States.
Kaitlyn M MorabitoVaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland 20892, United States.
Tracy J RuckwardtVaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland 20892, United States.
Dustin P PattersonDepartment of Chemistry and Biochemistry, University of Texas at Tyler, 3900 University Boulevard, Tyler, Texas 75799, United States.
John AveraDepartment of Chemistry, Indiana University, 800 East Kirkwood Avenue, Bloomington, Indiana 47405, United States.
Heini M MiettinenDepartment of Microbiology and Immunology, Montana State University, PO Box 173400, Bozeman, Montana 59717, United States.
Barney S GrahamVaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland 20892, United States.
Trevor DouglasDepartment of Chemistry, Indiana University, 800 East Kirkwood Avenue, Bloomington, Indiana 47405, United States.
Indiana University Bloomington · USNational Institutes of Health · USMontana State University · USNational Institute of Allergy and Infectious Diseases · USThe University of Texas at Tyler · US

Funding

Phage-based targeted imaging probes and their application to vascular diseasesR01EB012027 · NIBIB · TRUSTEES OF INDIANA UNIVERSITY · PI DOUGLAS, TREVOR · 2011 to 2014
$2.6M
Engineered virus-like nanoparticles targeting immunity needed for pan flu vaccineR01AI104905 · NIAID · TRUSTEES OF INDIANA UNIVERSITY · PI DOUGLAS, TREVOR, JUTILA, MARK A · 2013 to 2017
$2.3M
NIAID NIH HHS R01 AI104905NIBIB NIH HHS R01 EB012027
6 · The paper itself

Abstract

Subunit vaccines provide a safe, focused alternative to conventional vaccines. However, these vaccines often require significant adjuvants and are particularly hard to target toward cytotoxic T lymphocyte (CTL) immunity. Viruslike particles (VLPs) provide biomaterial scaffolds with pathogen-like polyvalent structures making them useful platforms for biomimetic antigen delivery to the immune system. Encapsidation of antigens within VLPs has been shown to enhance antigen availability for CD8 T cell responses. Here, we examine the potential to generate complex responses to multiple subunit antigens localized within the same VLP particle. Two proteins of respiratory syncytial virus (RSV) with well-characterized CD8 T cell responses, the matrix (M) and matrix 2 (M2) proteins, were successfully coencapsidated within the P22 VLP. Upon intranasal administration in mice, the particles stimulated CD8 T cell memory responses against both antigens. In addition, vaccination elicited tissue-resident T cell populations. Upon subsequent RSV challenge, P22-M/M2-treated mice displayed significantly reduced lung viral titers. This demonstrates the utility of the P22 VLP in directing immune responses to multiple encapsidated viral antigens, demonstrating the potential of this technology to facilitate immunity to multiple targets simultaneously.

Indexed as

CD8+ T cell immunityrespiratory syncytial virussubunit vaccinetissue-resident memory T cellsviruslike particle

Identifiers

PMID29367948
PMCPMC5777520
OpenAlexW2548461336

What OpenQuestion 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 OpenQuestion graph.