Evidence map›Paper›PMID 33024963›Full record

ArticlebioRxiv : the preprint server for biology2020

LY-CoV555, a rapidly isolated potent neutralizing antibody, provides protection in a non-human primate model of SARS-CoV-2 infection.

Bryan E Jones, Patricia L Brown-Augsburger, Kizzmekia S Corbett, Kathryn Westendorf, Julian Davies, Thomas P Cujec, Christopher M Wiethoff, Jamie L Blackbourne, Beverly A Heinz, Denisa Foster and 45 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed, 174 citations in OpenAlex.

  1. Article
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  5. Review
  6. Article
  7. Current Strategies of Antiviral Drug Discovery for COVID-19.Frontiers in molecular biosciences · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

55 authors at 7 institutions in 2 countries.

Patricia L Brown-Augsburger
Kizzmekia S Corbett
Kathryn Westendorf
Julian Davies
Thomas P Cujec
Christopher M Wiethoff
Jamie L Blackbourne
Beverly A Heinz
Denisa Foster
Richard E Higgs
Deepa Balasubramaniam
Lingshu Wang
Roza Bidshahri
Lucas Kraft
Yuri Hwang
Stefanie Žentelis
Kevin R Jepson
Rodrigo Goya
Maia A Smith
David W Collins
Samuel J Hinshaw
Sean A Tycho
Davide Pellacani
Ping Xiang
Krithika Muthuraman
Solmaz Sobhanifar
Marissa H Piper
Franz J Triana
Jorg Hendle
Anna Pustilnik
Andrew C Adams
Shawn J Berens
Ralph S Baric
David R Martinez
Robert W Cross
Thomas W Geisbert
Viktoriya Borisevich
Olubukola Abiona
Hayley M Belli
Maren de Vries
Adil Mohamed
Meike Dittmann
Marie Samanovic
Mark J Mulligan
Jory A Goldsmith
Ching-Lin Hsieh
Nicole V Johnson
Daniel Wrapp
Jason S McLellan
Bryan C Barnhart
Barney S Graham
John R Mascola
Carl L Hansen
AbCellera (Canada) · CAEli Lilly (United States) · USNew York University · USNational Institutes of Health · USThe University of Texas at Austin · USThe University of Texas Medical Branch at Galveston · USUniversity of North Carolina at Chapel Hill · US

Funding

Regulatory Compliance Core - Galveston National Laboratory BSL4 OperationsUC7AI094660 · NIAID · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Dennis A Bente · 2011 to 2026
$208.8M
Establishment of the New York University Vaccine and Treatment Evaluation Unit (NYU VTEU) - DMID 21-0012UM1AI148574 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Angelica Cifuentes Kottkamp, Anoma Nellore · 2020 to 2026
$23.9M
ALABAMA/ZAMBIA HIV VACCINE CLINICAL TRIALS UNIT (HVTU)U01AI047996 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GOEPFERT, PAUL A. · 2000 to 2006
$8.4M
INFECTIOUS DISEASE PATHOGENESIS TRAININGT32AI007151 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JULIANO, JONATHAN J · 1985 to 2024
$5.5M
ELF1 - Molecular mechanisms of a novel transcription factor with broad antiviral activityR01AI143639 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI WEISER, JEFFREY NEAL · 2019 to 2023
$2.5M
Modeling the generation and function of atypical memory B cells in Plasmodium infectionR21AI139740 · NIAID · UNIVERSITY OF WASHINGTON · PI FONTANA, MARY FRANCESCA · 2018 to 2019
$485k
SERPINs as a novel family of innate antiviral molecules - Resubmission - 1R21AI139374 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DITTMANN, MEIKE · 2019 to 2020
$466k
Defining viral and immune mechanisms of Dengue virus serotype 2 immune evasionF32AI152296 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MARTINEZ, DAVID R. · 2020 to 2020
$41k
NIAID NIH HHS F32 AI152296NIAID NIH HHS R01 AI143639NIAID NIH HHS R21 AI139374NIAID NIH HHS T32 AI007151NIAID NIH HHS U01 AI047996NIAID NIH HHS UM1 AI148574
6 · The paper itself

Abstract

SARS-CoV-2 poses a public health threat for which therapeutic agents are urgently needed. Herein, we report that high-throughput microfluidic screening of antigen-specific B-cells led to the identification of LY-CoV555, a potent anti-spike neutralizing antibody from a convalescent COVID-19 patient. Biochemical, structural, and functional characterization revealed high-affinity binding to the receptor-binding domain, ACE2 binding inhibition, and potent neutralizing activity. In a rhesus macaque challenge model, prophylaxis doses as low as 2.5 mg/kg reduced viral replication in the upper and lower respiratory tract. These data demonstrate that high-throughput screening can lead to the identification of a potent antiviral antibody that protects against SARS-CoV-2 infection. ONE SENTENCE SUMMARY: LY-CoV555, an anti-spike antibody derived from a convalescent COVID-19 patient, potently neutralizes SARS-CoV-2 and protects the upper and lower airways of non-human primates against SARS-CoV-2 infection.

Identifiers

PMID33024963
PMCPMC7536866
OpenAlexW3091054887

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.