Evidence map›Paper›PMID 38858452›Full record

ArticleScientific reports2024

Evaluating the antibody response elicited by diverse HIV envelope immunogens in the African green monkey (Vervet) model.

Thandeka Moyo-Gwete, Frances Ayres, Nonkululeko B Mzindle, Zanele Makhado, Nelia P Manamela, Simone I Richardson, Dale Kitchin, Strauss van Graan, Joritha van Heerden, Nishal Parbhoo and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Thandeka Moyo-GweteSA MRC Antibody Immunity Research Unit, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa. thandekam@nicd.ac.za.
Frances AyresSA MRC Antibody Immunity Research Unit, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Nonkululeko B MzindleSA MRC Antibody Immunity Research Unit, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Zanele MakhadoSA MRC Antibody Immunity Research Unit, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Nelia P ManamelaSA MRC Antibody Immunity Research Unit, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Simone I RichardsonSA MRC Antibody Immunity Research Unit, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Dale KitchinSA MRC Antibody Immunity Research Unit, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Strauss van GraanSA MRC Antibody Immunity Research Unit, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Joritha van HeerdenPrimate Unit and Delft Animal Centre, Centre and Platform Office, South African Medical Research Council, Cape Town, South Africa.
Nishal ParbhooDepartment of Life and Consumer Sciences, College of Agriculture and Environmental Sciences, University of South Africa, Johannesburg, South Africa.
Gerald K ChegePrimate Unit and Delft Animal Centre, Centre and Platform Office, South African Medical Research Council, Cape Town, South Africa.
Penny L MooreSA MRC Antibody Immunity Research Unit, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.

Funding

Identification of neutralizing epitopes on SARS-CoV-2 spike for design of vaccines and small-molecule antiviralsUM1AI144462 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI BURTON, DENNIS R. · 2019 to 2025
$201.6M
Consortium for HIV/AIDS Vaccine Development 5UM1AI144462Department of Science and Innovation, South Africa 98341NIAID NIH HHS UM1 AI144462
6 · The paper itself

Abstract

African Green (Vervet) monkeys have been extensively studied to understand the pathogenesis of infectious diseases. Using vervet monkeys as pre-clinical models may be an attractive option for low-resourced areas as they are found abundantly and their maintenance is more cost-effective than bigger primates such as rhesus macaques. We assessed the feasibility of using vervet monkeys as animal models to examine the immunogenicity of HIV envelope trimer immunogens in pre-clinical testing. Three groups of vervet monkeys were subcutaneously immunized with either the BG505 SOSIP.664 trimer, a novel subtype C SOSIP.664 trimer, CAP255, or a combination of BG505, CAP255 and CAP256.SU SOSIP.664 trimers. All groups of vervet monkeys developed robust binding antibodies by the second immunization with the peak antibody response occurring after the third immunization. Similar to binding, antibody dependent cellular phagocytosis was also observed in all the monkeys. While all animals developed potent, heterologous Tier 1 neutralizing antibody responses, autologous neutralization was limited with only half of the animals in each group developing responses to their vaccine-matched pseudovirus. These data suggest that the vervet monkey model may yield distinct antibody responses compared to other models. Further study is required to further determine the utility of this model in HIV immunization studies.

Indexed as

AIDS VaccinesAntibodies, NeutralizingHIV AntibodiesAnimalsAntibody FormationChlorocebus aethiopsDisease Models, Animalenv Gene Products, Human Immunodeficiency VirusHIV-1HIV InfectionsImmunizationAIDS VaccinesAntibodies, Neutralizingenv Gene Products, Human Immunodeficiency VirusHIV Antibodies

Identifiers

PMID38858452
PMCPMC11164991

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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.