Evidence map›Paper›PMID 33909660›Full record

ArticlePloS one2021

Risk of rapid evolutionary escape from biomedical interventions targeting SARS-CoV-2 spike protein.

Debra Van Egeren, Alexander Novokhodko, Madison Stoddard, Uyen Tran, Bruce Zetter, Michael Rogers, Bradley L Pentelute, Jonathan M Carlson, Mark Hixon, Diane Joseph-McCarthy and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 2 pooled it
6.0field-weighted citation impact, top 3% 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

50 citing papers in PubMed, 2 syntheses or guidelines pooled it, 95 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  19. Adaptation-proof SARS-CoV-2 vaccine design.Advanced functional materials · 2022
    Article
  20. 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

11 authors at 5 institutions in 1 country.

Debra Van EgerenDepartment of Systems Biology, Harvard Medical School, Boston, MA, United States of America.
Alexander NovokhodkoDepartment of Mechanical Engineering, University of Washington, Seattle, WA, United States of America.ORCID 0000-0002-8975-6730
Madison StoddardFractal Therapeutics, Cambridge, MA, United States of America.ORCID 0000-0001-9853-8500
Uyen TranFractal Therapeutics, Cambridge, MA, United States of America.
Bruce ZetterVascular Biology Program, Boston Children's Hospital, Boston, MA, United States of America.
Michael RogersVascular Biology Program, Boston Children's Hospital, Boston, MA, United States of America.
Bradley L PenteluteDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, United States of America.
Jonathan M CarlsonMicrosoft Research, Redmond, WA, United States of America.
Mark HixonMark S. Hixon Consulting, LLC, San Diego, CA, United States of America.
Diane Joseph-McCarthyBoston University, Boston, MA, United States of America.ORCID 0000-0001-9685-6177
Arijit ChakravartyFractal Therapeutics, Cambridge, MA, United States of America.ORCID 0000-0003-1338-5432
Boston Children's Hospital · USBoston University · USMassachusetts Institute of Technology · USMicrosoft (United States) · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spike protein receptor-binding domain (RBD) of SARS-CoV-2 is the molecular target for many vaccines and antibody-based prophylactics aimed at bringing COVID-19 under control. Such a narrow molecular focus raises the specter of viral immune evasion as a potential failure mode for these biomedical interventions. With the emergence of new strains of SARS-CoV-2 with altered transmissibility and immune evasion potential, a critical question is this: how easily can the virus escape neutralizing antibodies (nAbs) targeting the spike RBD? To answer this question, we combined an analysis of the RBD structure-function with an evolutionary modeling framework. Our structure-function analysis revealed that epitopes for RBD-targeting nAbs overlap one another substantially and can be evaded by escape mutants with ACE2 affinities comparable to the wild type, that are observed in sequence surveillance data and infect cells in vitro. This suggests that the fitness cost of nAb-evading mutations is low. We then used evolutionary modeling to predict the frequency of immune escape before and after the widespread presence of nAbs due to vaccines, passive immunization or natural immunity. Our modeling suggests that SARS-CoV-2 mutants with one or two mildly deleterious mutations are expected to exist in high numbers due to neutral genetic variation, and consequently resistance to vaccines or other prophylactics that rely on one or two antibodies for protection can develop quickly -and repeatedly- under positive selection. Predicted resistance timelines are comparable to those of the decay kinetics of nAbs raised against vaccinal or natural antigens, raising a second potential mechanism for loss of immunity in the population. Strategies for viral elimination should therefore be diversified across molecular targets and therapeutic modalities.

Indexed as

Antibodies, MonoclonalAntibodies, NeutralizingAntibodies, ViralBinding SitesCOVID-19EpitopesEvolution, MolecularHumansImmune EvasionModels, MolecularNeutralization TestsPeptidyl-Dipeptidase AProtein BindingProtein DomainsReceptors, VirusSARS-CoV-2Antibodies, MonoclonalAntibodies, NeutralizingAntibodies, ViralEpitopesPeptidyl-Dipeptidase AReceptors, VirusSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID33909660
PMCPMC8081162
OpenAlexW3159116547

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.