Evidence map›Paper›PMID 35611339›Full record

ArticlebioRxiv : the preprint server for biology2022

Molecular analysis of a public cross-neutralizing antibody response to SARS-CoV-2.

Meng Yuan, Yiquan Wang, Huibin Lv, Ian A Wilson, Nicholas C Wu

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Meng YuanDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Yiquan WangDepartment of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Huibin LvDepartment of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Ian A WilsonDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Nicholas C WuDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.

Funding

Sequence-function relationship of influenza broadly neutralizing antibodiesR01AI167910 · NIAID · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Nicholas C. Wu · 2022 to 2026
$2.5M
High-throughput identification of antibody features for sequence-based epitope predictionDP2AT011966 · NCCIH · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI WU, NICHOLAS C. · 2021 to 2024
$2.4M
NCCIH NIH HHS DP2 AT011966NIAID NIH HHS R01 AI167910
6 · The paper itself

Abstract

As SARS-CoV-2 variants of concerns (VOCs) continue to emerge, cross-neutralizing antibody responses become key towards next-generation design of a more universal COVID-19 vaccine. By analyzing published data from the literature, we report here that the combination of germline genes IGHV2-5/IGLV2-14 represents a public antibody response to the receptor-binding domain (RBD) that potently cross-neutralizes all VOCs to date, including Omicron and its sub-lineages. Detailed molecular analysis shows that the complementarity-determining region H3 sequences of IGHV2-5/IGLV2-14-encoded RBD antibodies have a preferred length of 11 amino acids and a conserved HxIxxI motif. In addition, these antibodies have a strong allelic preference due to an allelic polymorphism at amino-acid residue 54 of IGHV2-5, which locates at the paratope. These findings have important implications for understanding cross-neutralizing antibody responses to SARS-CoV-2 and its heterogenicity at the population level as well as the development of a universal COVID-19 vaccine.

Identifiers

PMID35611339
PMCPMC9128778

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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.