Evidence map›Paper›PMID 35132426›Full record

ArticlemedRxiv : the preprint server for health sciences2022

Rapid, high throughput, automated detection of SARS-CoV-2 neutralizing antibodies against native-like vaccine and delta variant spike trimers.

Narayanaiah Cheedarla, Hans P Verkerke, Sindhu Potlapalli, Kaleb Benjamin McLendon, Anamika Patel, Filipp Frank, Gregory L Damhorst, Huixia Wu, William Henry Oâ Sick, Daniel Graciaa and 15 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors at 4 institutions in 1 country.

Narayanaiah CheedarlaORCID 0000-0001-6072-4383
Hans P Verkerke
Sindhu Potlapalli
Kaleb Benjamin McLendon
Anamika Patel
Filipp Frank
Gregory L Damhorst
Huixia Wu
William Henry Oâ Sick
Daniel Graciaa
Fuad Hudaib
David N Alter
Jeannette Bryksin
Eric A Ortlund
Jeanette Guarner
Sara Auld
Sarita Shah
Wilbur Lam
Dawn Mattoon
Joseph M Johnson
David H Wilson
Madhav V Dhodapkar
Sean R Stowell
Andrew S Neish
John D Roback
Emory University · USQuanterix (United States) · USBrigham and Women's Hospital · USGeorgia Institute of Technology · US

Funding

Technology Training and Dissemination CoreU54EB027690 · NIBIB · EMORY UNIVERSITY · PI Wilbur A Lam, GREGORY S MARTIN · 2018 to 2026
$96.1M
NIBIB NIH HHS U54 EB027690
6 · The paper itself

Abstract

Traditional cellular and live-virus methods for detection of SARS-CoV-2 neutralizing antibodies (nAbs) are labor- and time-intensive, and thus not suited for routine use in the clinical lab to predict vaccine efficacy and natural immune protection. Here, we report the development and validation of a rapid, high throughput method for measuring SARS-CoV-2 nAbs against native-like trimeric spike proteins. This assay uses a blockade of hACE-2 binding (BoAb) approach in an automated digital immunoassay on the Quanterix HD-X platform. BoAb assays using vaccine and delta variant viral strains showed strong correlation with cell-based pseudovirus and live-virus neutralization activity. Importantly, we were able to detect similar patterns of delta variant resistance to neutralization in samples with paired vaccine and delta variant BoAb measurements. Finally, we screened clinical samples from patients with or without evidence of SARS-CoV-2 exposure by a single-dilution screening version of our assays, finding significant nAb activity only in exposed individuals. In principle, these assays offer a rapid, robust, and scalable alternative to time-, skill-, and cost-intensive standard methods for measuring SARS-CoV-2 nAb levels.

Identifiers

PMID35132426
PMCPMC8820678
OpenAlexW4210302534

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.