Evidence map›Paper›PMID 35194608›Full record

ArticlebioRxiv : the preprint server for biology2022

Reduced antigenicity of Omicron lowers host serologic response.

Jérôme Tubiana, Yufei Xiang, Li Fan, Haim J Wolfson, Kong Chen, Dina Schneidman-Duhovny, Yi Shi

Open access · greenAbstract 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, 8 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Jérôme TubianaBlavatnik School of Computer Science, Tel Aviv University, Israel.
Yufei XiangDepartment of Cell Biology, University of Pittsburgh, USA.
Li FanDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh, USA.
Haim J WolfsonBlavatnik School of Computer Science, Tel Aviv University, Israel.
Kong ChenDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh, USA.
Dina Schneidman-DuhovnySchool of Computer Science and Engineering, The Hebrew University of Jerusalem, Israel.
Yi ShiDepartment of Cell Biology, University of Pittsburgh, USA.
University of Pittsburgh · USTel Aviv University · ILHebrew University of Jerusalem · IL

Funding

Mapping the Dynamic Interactome of Ig-fold Membrane Proteins Using Nanobody-Based ToolsR35GM137905 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Yi Shi · 2020 to 2026
$2.8M
Epigenetic regulation of chemokines in lung inflammationR01HL137709 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHEN, KONG · 2018 to 2021
$1.6M
NHLBI NIH HHS R01 HL137709NIGMS NIH HHS R35 GM137905
6 · The paper itself

Abstract

SARS-CoV-2 Omicron variant of concern (VOC) contains fifteen mutations on the receptor binding domain (RBD), evading most neutralizing antibodies from vaccinated sera. Emerging evidence suggests that Omicron breakthrough cases are associated with substantially lower antibody titers than other VOC cases. However, the mechanism remains unclear. Here, using a novel geometric deep-learning model, we discovered that the antigenic profile of Omicron RBD is distinct from the prior VOCs, featuring reduced antigenicity in its remodeled receptor binding sites (RBS). To substantiate our deep-learning prediction, we immunized mice with different recombinant RBD variants and found that the Omicron's extensive mutations can lead to a drastically attenuated serologic response with limited neutralizing activity

Identifiers

PMID35194608
PMCPMC8863144
OpenAlexW4213303179

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.