Evidence map›Paper›PMID 38793740›Full record

ArticleVaccines2024

Novel Multi-Antigen Orf-Virus-Derived Vaccine Elicits Protective Anti-SARS-CoV-2 Response in Monovalent and Bivalent Formats.

Dominique Julien Burri, Louis Renz, Melanie Mueller, Felix Pagallies, Ute Klinkhardt, Ralf Amann, Madiha Derouazi

Abstract read
In one paragraph

Article in Vaccines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

7 authors.

Dominique Julien BurriSperansa Therapeutics, Frankfurt am Main, 60327 Frankfurt, Germany.
Louis RenzSperansa Therapeutics, Frankfurt am Main, 60327 Frankfurt, Germany.
Melanie MuellerInstitute of Immunology, University Hospital of Tübingen, 72016 Tübingen, Germany.
Felix PagalliesInstitute of Immunology, University Hospital of Tübingen, 72016 Tübingen, Germany.ORCID 0000-0002-1307-192X
Ute KlinkhardtSperansa Therapeutics, Frankfurt am Main, 60327 Frankfurt, Germany.
Ralf AmannInstitute of Immunology, University Hospital of Tübingen, 72016 Tübingen, Germany.
Madiha DerouaziSperansa Therapeutics, Frankfurt am Main, 60327 Frankfurt, Germany.ORCID 0000-0001-9412-9558

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prime-2-CoV_Beta is a novel Orf virus (ORFV)-based COVID-19 vaccine candidate expressing both the nucleocapsid and spike proteins of SARS-CoV-2 with the receptor-binding domain (RBD) of the Beta strain. This candidate was shown to be safe and immunogenic in a first-in-human Phase I clinical trial. With the shift in the immune landscape toward the Omicron variant and the widespread vaccine- and/or infection-derived immunity, further pre-clinical research was needed to characterize Prime-2-CoV. Here, we quantified the humoral and cellular response to Prime-2-CoV_Beta in pre-immunized mice and compared the protective efficacy of mono- and bivalent variant-based Prime-2-CoV vaccine candidates in hamsters. Prime-2-CoV_Beta induced robust humoral and cellular immune responses in naïve animals but did not further boost antibody titers in the tested setting when given as repeat booster at short interval. We furthermore showed that Prime-2-CoV_Beta-based mono- and bivalent immunization strategies produced comparable immunogenicity and protection from infection. Our results highlight the potential of the Orf virus as a vaccine platform against SARS-CoV-2 and potentially other infectious viruses.

Indexed as

COVID-19 vaccineOrf virusparapoxvirus

Identifiers

PMID38793740
PMCPMC11126134

What Socratic 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 Socratic graph.