Evidence map›Paper›PMID 41278696›Full record

ArticlebioRxiv : the preprint server for biology2025

A cocktail of SARS-CoV-2 spike stem helix domain and receptor binding domain human monoclonal antibodies prevent the emerge of viral escape mutants.

Yao Ma, Chengjin Ye, Michael S Piepenbrink, Sara H Mahmoud, Anastasija Cupic, Esteban Castro, Nathaniel Jackson, Mahmoud Bayoumi, Alvaro S Padron, Adolfo Garcia-Sastre and 4 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Yao MaTexas Biomedical Research Institute, San Antonio, TX, USA.
Chengjin YeTexas Biomedical Research Institute, San Antonio, TX, USA.ORCID 0000-0002-1934-9494
Michael S PiepenbrinkDepartment of Medicine, Division of Infectious Diseases, University of Alabama at Birmingham, Birmingham, AL, USA.
Sara H MahmoudTexas Biomedical Research Institute, San Antonio, TX, USA.
Anastasija CupicGraduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Esteban CastroTexas Biomedical Research Institute, San Antonio, TX, USA.
Nathaniel JacksonTexas Biomedical Research Institute, San Antonio, TX, USA.
Mahmoud BayoumiTexas Biomedical Research Institute, San Antonio, TX, USA.
Alvaro S PadronTexas Biomedical Research Institute, San Antonio, TX, USA.
Adolfo Garcia-SastreDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Gregory C IppolitoTexas Biomedical Research Institute, San Antonio, TX, USA.
Mark R WalterDepartment of Microbiology, University of Alabama at Birmingham, Birmingham, AL, USA.ORCID 0000-0003-2163-5550
James J KobieDepartment of Medicine, Division of Infectious Diseases, University of Alabama at Birmingham, Birmingham, AL, USA.ORCID 0000-0001-8069-0272
Luis Martinez-SobridoTexas Biomedical Research Institute, San Antonio, TX, USA.

Funding

NIAID Centers of Excellence for Influenza Research and Response: Universal Influenza Vaccine Research Activities75N93021C00014 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GARCIA-SASTRE, ADOLFO · 2021 to 2025
$62.6M
TRAINING PROGRAM: MECHANISMS OF VIRUS-HOST INTERACTIONST32AI007647 · NIAID · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI Domenico Tortorella · 2000 to 2026
$11.5M
Mechanism-based Targeting of the RNA Processing Machinery of SARS-CoV-2R01AI161363 · NIAID · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI GUPTA, YOGESH K · 2021 to 2025
$3.2M
The origin and future protective activity of SARS-CoV-2 RBD specific neutralizing antibodiesR01AI161175 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI KOBIE, JAMES J, MARTINEZ-SOBRIDO, LUIS · 2021 to 2024
$2.5M
NIAID NIH HHS 75N93021C00014NIAID NIH HHS R01 AI161175NIAID NIH HHS R01 AI161363NIAID NIH HHS T32 AI007647
6 · The paper itself

Abstract

Neutralizing antibodies (NAbs) targeting the spike (S) glycoprotein remain a crucial therapeutic strategy against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, emerging viral variants have escaped all Food and Drug Administration (FDA)-approved NAb treatments, underscoring the urgent need for effective therapeutic alternatives. Using a nanoluciferase (Nluc)-expressing attenuated recombinant SARS-CoV-2 lacking the open reading frames (ORF) 3a and 7b (Δ3a7b-Nluc), we characterized resistance profiles of two broadly protective NAbs targeting the S receptor binding domain (RBD) in S1 (1301B7) and the stem helix domain (SH) in S2 (1249A8). Serial passaging of Δ3a7b-Nluc under selective pressure identified a 1301B7 antibody-resistant mutants (ARM-B7) harboring an RBD mutation (S371F) that conferred resistance to 1301B7 and other RBD-directed NAbs (Casirivimab, SC27 and Sotrovimab). In contrast, no ARM emerged under treatment with 1249A8, or an antibody cocktail of 1301B7 (RBD) + 1249A8 (SH). These findings demonstrate that S2 SH-targeting NAbs shows higher genetic barrier to resistance than S1 RBD-targeting NAbs, and that a NAbs cocktail therapy targeting the SARS-CoV-2 S1 RBD and S2 SH offers the most effective strategy to prevent the emergence of escape mutations. Together, our findings provide critical insights into developing next-generation resistance-evading NAb therapies against SARS-CoV-2, and potentially other coronaviruses, and demonstrate the value of using our attenuated viral platforms for the safe identification of ARM without the potential biosafety concerns of doing these experiments using wild-type (WT) forms of SARS-CoV-2.

Indexed as

antibody-resistance mutantattenuated virusCOVID-19SARS-CoV-2spike protein

Identifiers

PMID41278696
PMCPMC12633237

What OpenQuestion holds

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Registered trials

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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.