Evidence map›Paper›PMID 32699862›Full record

ArticlemedRxiv : the preprint server for health sciences2021

Dynamics of B-cell repertoires and emergence of cross-reactive responses in COVID-19 patients with different disease severity.

Zachary Montague, Huibin Lv, Jakub Otwinowski, William S DeWitt, Giulio Isacchini, Garrick K Yip, Wilson W Ng, Owen Tak-Yin Tsang, Meng Yuan, Hejun Liu and 5 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2021. 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

15 authors.

Zachary MontagueDepartment of Physics, University of Washington, 3910 15th Ave Northeast, Seattle, WA 98195, USA.
Huibin LvHKU-Pasteur Research Pole, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Jakub OtwinowskiMax Planck Institute for Dynamics and Self-organization, Am Faßberg 17, 37077 Göttingen, Germany.
William S DeWittDepartment of Genome Sciences, University of Washington, 3720 15th Ave NE, Seattle, WA 98195, USA.
Giulio IsacchiniMax Planck Institute for Dynamics and Self-organization, Am Faßberg 17, 37077 Göttingen, Germany.
Garrick K YipHKU-Pasteur Research Pole, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Wilson W NgHKU-Pasteur Research Pole, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Owen Tak-Yin TsangInfectious Diseases Centre, Princess Margaret Hospital, Hospital Authority of Hong Kong.
Meng YuanDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Hejun LiuDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Ian A WilsonDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
J S Malik PeirisHKU-Pasteur Research Pole, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Nicholas C WuDepartment of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Armita NourmohammadDepartment of Physics, University of Washington, 3910 15th Ave Northeast, Seattle, WA 98195, USA.
Chris Ka Pun MokHKU-Pasteur Research Pole, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.

Funding

Evolutionary dynamics of antibody affinity maturationF31AI150163 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI DEWITT, WILLIAM S. · 2020 to 2022
$113k
NIAID NIH HHS F31 AI150163NIAID NIH HHS HHSN272201400006C
6 · The paper itself

Abstract

COVID-19 patients show varying severity of the disease ranging from asymptomatic to requiring intensive care. Although a number of SARS-CoV-2 specific monoclonal antibodies have been identified, we still lack an understanding of the overall landscape of B-cell receptor (BCR) repertoires in COVID-19 patients. Here, we used high-throughput sequencing of bulk and plasma B-cells collected over multiple time points during infection to characterize signatures of B-cell response to SARS-CoV-2 in 19 patients. Using principled statistical approaches, we determined differential features of BCRs associated with different disease severity. We identified 38 significantly expanded clonal lineages shared among patients as candidates for specific responses to SARS-CoV-2. Using single-cell sequencing, we verified reactivity of BCRs shared among individuals to SARS-CoV-2 epitopes. Moreover, we identified natural emergence of a BCR with cross-reactivity to SARS-CoV-1 and SARS-CoV-2 in a number of patients. Our results provide important insights for development of rational therapies and vaccines against COVID-19.

Indexed as

B-cell repertoiresCOVID-19cross-reactivitySARS-CoV-2

Identifiers

PMID32699862
PMCPMC7373151

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.