Evidence map›Paper›PMID 33361645›Full record

SynthesisThe Indian journal of medical research

Comparison of the immunogenicity & protective efficacy of various SARS-CoV-2 vaccine candidates in non-human primates.

Labanya Mukhopadhyay, Pragya D Yadav, Nivedita Gupta, Sreelekshmy Mohandas, Deepak Y Patil, Anita Shete-Aich, Samiran Panda, Balram Bhargava

Open access · diamondAbstract readSystematic Review
In one paragraph

Synthesis in The Indian journal of medical research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

24 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. SARS-CoV-2 in lions, gorillas and zookeepers in the Rotterdam Zoo, the Netherlands, a One Health investigation, November 2021.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. [Vaccine against COVID-19].Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2021
    Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Labanya MukhopadhyayVirology Unit, Division of Epidemiology & Communicable Diseases, Indian Council of Medical Research, New Delhi, India.
Pragya D YadavMaximum Containment Laboratory, Indian Council of Medical Research-National Institute of Virology, Pune, Maharashtra, India.
Nivedita GuptaVirology Unit, Division of Epidemiology & Communicable Diseases, Indian Council of Medical Research, New Delhi, India.
Sreelekshmy MohandasMaximum Containment Laboratory, Indian Council of Medical Research-National Institute of Virology, Pune, Maharashtra, India.
Deepak Y PatilMaximum Containment Laboratory, Indian Council of Medical Research-National Institute of Virology, Pune, Maharashtra, India.
Anita Shete-AichMaximum Containment Laboratory, Indian Council of Medical Research-National Institute of Virology, Pune, Maharashtra, India.
Samiran PandaDivision of Epidemiology & Communicable Diseases, Indian Council of Medical Research, New Delhi, India.
Balram BhargavaIndian Council of Medical Research, New Delhi, India.
ICMR-National Institute of Virology · INIndian Council of Medical Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

objectivesThe COVID-19 pandemic has emerged as a global public health crisis and research groups worldwide are engaged in developing vaccine candidates to curb its transmission, with a few vaccines having progressed to advanced stages of clinical trials. The aim of this systematic review was to compare immunogenicity and protective efficacy of various SARS-CoV-2 vaccine candidates tested in non-human primate (NHP) models.

methodsLiterature on effect of SARS-CoV-2 vaccines in NHP models reported on PubMed and preprint platforms (medRxiv and bioRxiv) till October 22, 2020, was searched with the following terms: coronavirus vaccine, COVID-19 vaccine, SARS-CoV-2 vaccine, nonhuman primate, and rhesus macaque.

resultsOur search yielded 19 studies, which reported immune response elicited by 18 vaccine candidates in NHP. All the vaccines induced detectable neutralizing antibody (NAb) titres in the serum of vaccinated animals, with some showing effective viral clearance from various organs. The vaccinated animals also showed nil to mild histopathological changes in their lungs compared to placebo groups in the trials that performed necropsy. INTERPRETATION &

conclusionsOur findings highlighted onset of quick immunogenicity and protective efficacy of mRNA-1273, followed by Ad26.CoV2.S, NVX-CoV2373, BNT162b2, RBD and BBV152 vaccine candidates in preclinical trials as compared to the others. NHP data also showed correlation with clinical trial data available for a few vaccines. Preclinical trials of COVID-19 vaccine candidates in NHPs yielded promising results, with some candidates faring better than others.

Indexed as

Immunogenicity, VaccinePrimates2019-nCoV Vaccine mRNA-1273Ad26COVS1AnimalsAntibodies, NeutralizingAntibodies, ViralBNT162 VaccineCOVID-19COVID-19 VaccinesDisease Models, AnimalMacaca mulatta2019-nCoV Vaccine mRNA-1273Ad26COVS1Antibodies, NeutralizingAntibodies, ViralBNT162 VaccineCOVID-19 VaccinesNVX-CoV2373 adjuvated lipid nanoparticleCOVID-19immune responseinactivated vaccineneutralizing antibodynon-human primateprotein subunit vaccineT-cell responsevaccineviral clearance

Identifiers

PMID33361645
PMCPMC8184077
OpenAlexW3115726188

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.