Evidence map›Paper›PMID 35636436›Full record

ArticleThe Lancet. Microbe2022

Longitudinal variation in SARS-CoV-2 antibody levels and emergence of viral variants: a serological analysis.

Frauke Muecksch, Helen Wise, Kate Templeton, Becky Batchelor, Maria Squires, Kirsty McCance, Lisa Jarvis, Kristen Malloy, Elizabeth Furrie, Claire Richardson and 9 more

Open access · goldAbstract read
In one paragraph

Article in The Lancet. Microbe, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

35 citing papers in PubMed, 43 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 8 institutions in 2 countries.

Frauke MueckschLaboratory of Retrovirology, The Rockefeller University, New York, NY, USA.
Helen WiseRoyal Infirmary of Edinburgh, NHS Lothian, Edinburgh, UK.
Kate TempletonRoyal Infirmary of Edinburgh, NHS Lothian, Edinburgh, UK.
Becky BatchelorDepartment of Blood Sciences, Western General Hospital, Edinburgh, UK.
Maria SquiresRoyal Infirmary of Edinburgh, NHS Lothian, Edinburgh, UK.
Kirsty McCanceRoyal Infirmary of Edinburgh, NHS Lothian, Edinburgh, UK.
Lisa JarvisSNBTS Microbiology Reference Laboratory, The Jack Copland Centre, Edinburgh, UK.
Kristen MalloySNBTS Microbiology Reference Laboratory, The Jack Copland Centre, Edinburgh, UK.
Elizabeth FurrieDepartment of Immunology, Ninewells Hospital and Medical School, NHS Tayside, Dundee, UK.
Claire RichardsonDepartment of Biochemistry, University Hospital Monklands, NHS Lanarkshire, Airdrie, UK.
Jacqueline MacGuireDepartment of Biochemistry, University Hospital Monklands, NHS Lanarkshire, Airdrie, UK.
Ian GodberDepartment of Biochemistry, Queen Elizabeth University Hospital, Glasgow, UK.
Alana BurnsDepartment of Biochemistry, Queen Elizabeth University Hospital, Glasgow, UK.
Sally MavinScottish Microbiology Reference Laboratory, NHS Highland, Inverness, UK.
Fengwen ZhangLaboratory of Retrovirology, The Rockefeller University, New York, NY, USA.
Fabian SchmidtLaboratory of Retrovirology, The Rockefeller University, New York, NY, USA.
Paul D BieniaszLaboratory of Retrovirology, The Rockefeller University, New York, NY, USA; Howard Hughes Medical Institute, The Rockefeller University, New York, NY, USA. Electronic address: pbieniasz@rockefeller.edu.
Sara JenksRoyal Infirmary of Edinburgh, NHS Lothian, Edinburgh, UK. Electronic address: sara.jenks@nhslothian.scot.nhs.uk.
Theodora HatziioannouLaboratory of Retrovirology, The Rockefeller University, New York, NY, USA. Electronic address: thatziio@rockefeller.edu.
Rockefeller University · USNHS Lothian · GBEdinburgh Royal Infirmary · GBNHS Lanarkshire · GBQueen Elizabeth University Hospital · GBNHS Highland · GBNHS Tayside · GBWestern General Hospital · GB

Funding

Overcoming Host Restriction Factors to Develop Better Animal Models for HIV/AIDS.R01AI078788 · NIAID · ROCKEFELLER UNIVERSITY · PI HATZIIOANNOU, THEODORA · 2008 to 2021
$9.3M
RNA Protein interactions in HIV-1 replicationR01AI050111 · NIAID · ROCKEFELLER UNIVERSITY · PI BIENIASZ, PAUL D. · 2001 to 2021
$7.9M
NIAID NIH HHS R01 AI050111NIAID NIH HHS R01 AI078788
6 · The paper itself

Abstract

backgroundSerological assays are being used to monitor antibody responses in individuals who had SARS-CoV-2 infection and those who received a COVID-19 vaccine. We aimed to determine whether such assays can predict neutralising antibody titres as antibody levels wane and viral variants emerge.

methodsWe measured antibody levels in serum samples from a cohort of 112 participants with SARS-CoV-2 infection using ten high-throughput serological tests and functional neutralisation assays. Serum samples were taken at baseline and at up to four subsequent visits. We assessed the effects of time and spike protein sequence variation on the performance and predictive value of the various assays. We did correlation analyses for individual timepoints using non-parametric Spearman correlation, and differences between timepoints were determined by use of a two-tailed Wilcoxon matched-pairs signed rank test.

findingsNeutralising antibody titres decreased over the first few months post-infection but stabilised thereafter, at about 30% of the level observed shortly after infection. Serological assays commonly used to measure antibodies against SARS-CoV-2 displayed a range of sensitivities that declined to varying extents over time. Quantitative measurements generated by serological assays based on the spike protein were better at predicting neutralising antibody titres than those based on nucleocapsid, but performance was variable, and manufacturer positivity thresholds were not able to predict the presence or absence of detectable neutralising activity. Although we observed some deterioration in correlation between serological measurements and functional neutralisation activity, some assays maintained an ability to predict neutralising titres, even against variants of concern.

interpretationThe ability of high-throughput serological assays to predict neutralising antibody titres is likely to be crucial for evaluation of immunity at the population scale. These data can facilitate the selection of the most suitable assays as surrogates of functional neutralising activity and suggest that such measurements might be useful in clinical practice.

fundingUS National Institutes of Health and National Health Service Research Scotland BioResource.

Indexed as

COVID-19SARS-CoV-2Antibodies, NeutralizingAntibodies, ViralCOVID-19 VaccinesHumansSpike Glycoprotein, CoronavirusState MedicineAntibodies, NeutralizingAntibodies, ViralCOVID-19 VaccinesSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID35636436
PMCPMC9141682
OpenAlexW4281624960

What OpenQuestion holds

Textmetadata
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.