Evidence map›Paper›PMID 39054338›Full record

ArticleNPJ vaccines2024

Universal subunit vaccine protects against multiple SARS-CoV-2 variants and SARS-CoV.

Gang Wang, Abhishek K Verma, Juan Shi, Xiaoqing Guan, David K Meyerholz, Fan Bu, Wei Wen, Bin Liu, Fang Li, Stanley Perlman and 1 more

Abstract read
In one paragraph

Article in NPJ vaccines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. A Modular Vaccine Platform Against SARS-CoV-2 Based on Self-Assembled Protein Nanoparticles.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  5. Article
  6. SARS-CoV-2-derived RNA replicons as safe and effective vaccines.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Review
  8. Review
  9. 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

11 authors.

Gang Wang *Institute for Biomedical Sciences, Georgia State University, Atlanta, GA, USA.
Abhishek K Verma *Department of Microbiology and Immunology, University of Iowa, Iowa City, IA, USA.
Juan Shi *Institute for Biomedical Sciences, Georgia State University, Atlanta, GA, USA.
Xiaoqing GuanInstitute for Biomedical Sciences, Georgia State University, Atlanta, GA, USA.
David K MeyerholzDepartment of Pathology, University of Iowa, Iowa City, IA, USA.ORCID http://orcid.org/0000-0003-1552-3253
Fan BuDepartment of Pharmacology, University of Minnesota Medical School, Minneapolis, MN, USA.ORCID http://orcid.org/0000-0002-6965-3072
Wei WenDepartment of Pharmacology, University of Minnesota Medical School, Minneapolis, MN, USA.
Bin LiuHormel Institute, University of Minnesota, Austin, MN, USA. liu00794@umn.edu.ORCID http://orcid.org/0000-0002-6581-780X
Fang LiDepartment of Pharmacology, University of Minnesota Medical School, Minneapolis, MN, USA. lifang@umn.edu.ORCID http://orcid.org/0000-0002-1958-366X
Stanley PerlmanDepartment of Microbiology and Immunology, University of Iowa, Iowa City, IA, USA. stanley-perlman@uiowa.edu.ORCID http://orcid.org/0000-0003-4213-2354
Lanying DuInstitute for Biomedical Sciences, Georgia State University, Atlanta, GA, USA. ldu3@gsu.edu.ORCID http://orcid.org/0000-0001-5955-1294

Funding

Structure-based design of coronavirus subunit vaccinesR01AI139092 · NIAID · NEW YORK BLOOD CENTER · PI DU, LANYING · 2018 to 2022
$4.2M
Rational design and evaluation of novel mRNA vaccines against MERS-CoVR01AI137472 · NIAID · NEW YORK BLOOD CENTER · PI DU, LANYING · 2018 to 2022
$4.1M
Novel nanobodies to prevent and treat SARS-CoV-2 and other pathogenic human coronavirusesR01AI157975 · NIAID · NEW YORK BLOOD CENTER · PI DU, LANYING, LI, FANG · 2020 to 2025
$3.9M
NIAID NIH HHS R01 AI137472NIAID NIH HHS R01 AI139092NIAID NIH HHS R01 AI157975U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01AI137472U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01AI139092U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01AI157975
6 · The paper itself

Abstract

Although Omicron RBD of SARS-CoV-2 accumulates many mutations, the backbone region (truncated RBD) of spike protein is highly conserved. Here, we designed several subunit vaccines by keeping the conserved spike backbone region of SARS-CoV-2 Omicron BA.1 subvariant (S-6P-no-RBD), or inserting the RBD of Delta variant (S-6P-Delta-RBD), Omicron (BA.5) variant (S-6P-BA5-RBD), or ancestral SARS-CoV-2 (S-6P-WT-RBD) to the above backbone construct, and evaluated their ability to induce immune responses and cross-protective efficacy against various SARS-CoV-2 variants and SARS-CoV. Among the four subunit vaccines, S-6P-Delta-RBD protein elicited broad and potent neutralizing antibodies against all SARS-CoV-2 variants tested, including Alpha, Beta, Gamma, and Delta variants, the BA.1, BA.2, BA.2.75, BA.4.6, and BA.5 Omicron subvariants, and the ancestral strain of SARS-CoV-2. This vaccine prevented infection and replication of SARS-CoV-2 Omicron, and completely protected immunized mice against lethal challenge with the SARS-CoV-2 Delta variant and SARS-CoV. Sera from S-6P-Delta-RBD-immunized mice protected naive mice against challenge with the Delta variant, with significantly reduced viral titers and without pathological effects. Protection correlated positively with the serum neutralizing antibody titer. Overall, the designed vaccine has potential for development as a universal COVID-19 vaccine and/or a pan-sarbecovirus subunit vaccine that will prevent current and future outbreaks caused by SARS-CoV-2 variants and SARS-related CoVs.

Identifiers

PMID39054338
PMCPMC11272943

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.