Evidence map›Paper›PMID 35599623›Full record

ArticleBioengineered2022

Healthy humans can be a source of antibodies countering COVID-19.

Nileena Velappan, Hau B Nguyen, Sofiya Micheva-Viteva, Daniel Bedinger, Chunyan Ye, Betty Mangadu, Austin J Watts, Robert Meagher, Steven Bradfute, Bin Hu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Bioengineered, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

5 citing papers in PubMed, 3 citations in OpenAlex.

  1. In Vitro Selection of Antibodies TargetingPathogens (Basel, Switzerland) · 2026
    Article
  2. Discovering Novel Therapeutic VbioRxiv : the preprint server for biology · 2026
    Article
  3. Discovering novel therapeutic VFrontiers in immunology · 2026
    Article
  4. Article
  5. 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 at 4 institutions in 1 country.

Nileena VelappanBiosciences Division, Los Alamos National Laboratory, Los Alamos, NM 87547, USA.ORCID 0000-0002-4488-9126
Hau B NguyenBiosciences Division, Los Alamos National Laboratory, Los Alamos, NM 87547, USA.
Sofiya Micheva-VitevaBiosciences Division, Los Alamos National Laboratory, Los Alamos, NM 87547, USA.
Daniel BedingerExperimental division, Carterra Inc, Walnut Creek, CA, 94568, USA.
Chunyan YeCenter for Global Health and Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, 87131, USA.
Betty MangaduBiotechnology and Bioengineering Department, Sandia National Laboratories, Livermore, CA, 94551, USA.
Austin J Watts
Robert MeagherBiotechnology and Bioengineering Department, Sandia National Laboratories, Livermore, CA, 94551, USA.ORCID 0000-0002-6262-2126
Steven BradfuteCenter for Global Health and Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, 87131, USA.
Bin HuBiosciences Division, Los Alamos National Laboratory, Los Alamos, NM 87547, USA.
Geoffrey S WaldoBiosciences Division, Los Alamos National Laboratory, Los Alamos, NM 87547, USA.
Antonietta M LilloBiosciences Division, Los Alamos National Laboratory, Los Alamos, NM 87547, USA.
Los Alamos National Laboratory · USSandia National Laboratories California · USUniversity of New Mexico · USCarterra (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we describe the isolation of 18 unique anti SARS-CoV-2 human single-chain antibodies from an antibody library derived from healthy donors. The selection used a combination of phage and yeast display technologies and included counter-selection strategies meant to direct the selection of the receptor-binding motif (RBM) of SARS-CoV-2 spike protein's receptor binding domain (RBD2). Selected antibodies were characterized in various formats including IgG, using flow cytometry, ELISA, high throughput SPR, and fluorescence microscopy. We report antibodies' RBD2 recognition specificity, binding affinity, and epitope diversity, as well as ability to block RBD2 binding to the human receptor angiotensin-converting enzyme 2 (ACE2) and to neutralize authentic SARS-CoV-2 virus infection in vitro. We present evidence supporting that: 1) most of our antibodies (16 out of 18) selectively recognize RBD2; 2) the best performing 8 antibodies target eight different epitopes of RBD2; 3) one of the pairs tested in sandwich assays detects RBD2 with sub-picomolar sensitivity; and 4) two antibody pairs inhibit SARS-CoV-2 infection at low nanomolar half neutralization titers. Based on these results, we conclude that our antibodies have high potential for therapeutic and diagnostic applications. Importantly, our results indicate that readily available non immune (naïve) antibody libraries obtained from healthy donors can be used to select high-quality monoclonal antibodies, bypassing the need for blood of infected patients, and offering a widely accessible and low-cost alternative to more sophisticated and expensive antibody selection approaches (e.g. single B cell analysis and natural evolution in humanized mice).

Indexed as

Antibodies, ViralCOVID-19Single-Chain AntibodiesAntibodies, NeutralizingEpitopesHumansSARS-CoV-2Spike Glycoprotein, CoronavirusAntibodies, NeutralizingAntibodies, ViralEpitopesSingle-Chain AntibodiesSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2ACE2 competitorantibodyantibody cocktailCOVID-19COVID-19 diagnosticsCOVID-19 therapeuticsdetecting antibodyneutralizing antibodySARS-CoV-2

Identifiers

PMID35599623
PMCPMC9275966
OpenAlexW4281256657

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.