Evidence map›Paper›PMID 38071323›Full record

ArticleScientific reports2023

Employment of a high throughput functional assay to define the critical factors that influence vaccine induced cross-variant neutralizing antibodies for SARS-CoV-2.

Yue Gu, Bhuvaneshwari Shunmuganathan, Xinlei Qian, Rashi Gupta, Rebecca S W Tan, Mary Kozma, Kiren Purushotorman, Tanusya M Murali, Nikki Y J Tan, Peter R Preiser and 11 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. 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
0.4field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

21 authors at 4 institutions in 2 countries.

Yue Gu *Antibody Engineering Programme, Life Sciences Institute, National University of Singapore, Singapore, Singapore.
Bhuvaneshwari Shunmuganathan *Antibody Engineering Programme, Life Sciences Institute, National University of Singapore, Singapore, Singapore.
Xinlei QianAntibody Engineering Programme, Life Sciences Institute, National University of Singapore, Singapore, Singapore.
Rashi GuptaDepartment of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Rebecca S W TanDepartment of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Mary KozmaAntibody Engineering Programme, Life Sciences Institute, National University of Singapore, Singapore, Singapore.
Kiren PurushotormanAntibody Engineering Programme, Life Sciences Institute, National University of Singapore, Singapore, Singapore.
Tanusya M MuraliDepartment of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Nikki Y J TanDepartment of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Peter R PreiserAntimicrobial Resistance Interdisciplinary Research Group (AMR-IRG), Singapore-MIT Alliance in Research and Technology (SMART), Singapore, 138602, Singapore.
Julien LescarSchool of Biological Science (SBS), Nanyang Technological University (NTU), 60 Nanyang Dr, Singapore, 637551, Singapore.
Haziq NasirDivision of Infectious Disease, University Medicine Cluster, National University Hospital, Singapore, Singapore.
Jyoti SomaniDivision of Infectious Disease, University Medicine Cluster, National University Hospital, Singapore, Singapore.
Paul A TambyahDivision of Infectious Disease, University Medicine Cluster, National University Hospital, Singapore, Singapore.
SCOPE Cohort Study Group
Kenneth G C SmithNUH-Cambridge Immune Phenotyping Centre, National University of Singapore, Singapore, Singapore.
Laurent ReniaA*STAR Infectious Diseases Labs, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Lisa F P NgA*STAR Infectious Diseases Labs, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
David C LyeLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Barnaby E YoungLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Paul A MacAryAntibody Engineering Programme, Life Sciences Institute, National University of Singapore, Singapore, Singapore. micpam@nus.edu.sg.
Agency for Science, Technology and Research · SGNational University of Singapore · SGNational University Hospital · SGNanyang Technological University · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The scale and duration of neutralizing antibody responses targeting SARS-CoV-2 viral variants represents a critically important serological parameter that predicts protective immunity for COVID-19. In this study, we describe the development and employment of a new functional assay that measures neutralizing antibodies for SARS-CoV-2 and present longitudinal data illustrating the impact of age, sex and comorbidities on the kinetics and strength of vaccine-induced antibody responses for key variants in an Asian volunteer cohort. We also present an accurate quantitation of serological responses for SARS-CoV-2 that exploits a unique set of in-house, recombinant human monoclonal antibodies targeting the viral Spike and nucleocapsid proteins and demonstrate a reduction in neutralizing antibody titres across all groups 6 months post-vaccination. We also observe a marked reduction in the serological binding activity and neutralizing responses targeting recently newly emerged Omicron variants including XBB 1.5 and highlight a significant increase in cross-protective neutralizing antibody responses following a third dose (boost) of vaccine. These data illustrate how key virological factors such as immune escape mutations combined with host demographic factors such as age and sex of the vaccinated individual influence the strength and duration of cross-protective serological immunity for COVID-19.

Indexed as

COVID-19VaccinesAntibodies, NeutralizingAntibodies, ViralBroadly Neutralizing AntibodiesEmploymentHumansSARS-CoV-2VaccinationAntibodies, NeutralizingAntibodies, ViralBroadly Neutralizing AntibodiesVaccines

Identifiers

PMID38071323
PMCPMC10710454
OpenAlexW4389509186

What OpenQuestion 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 OpenQuestion graph.