Evidence map›Paper›PMID 35091739›Full record

ArticleThe Journal of infectious diseases2022

IgG Against Human Betacoronavirus Spike Proteins Correlates With SARS-CoV-2 Anti-Spike IgG Responses and COVID-19 Disease Severity.

Jiong Wang, Dongmei Li, Andrew Cameron, Qian Zhou, Alexander Wiltse, Jennifer Nayak, Nicole D Pecora, Martin S Zand

Open access · hybridAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 14% of its field
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

12 citing papers in PubMed, 19 citations in OpenAlex.

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  7. Prevalence of immunoglobulin G and M to SARS-CoV-2 and other human coronaviruses in The Democratic Republic of Congo, Sierra Leone, and Uganda: A longitudinal study.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Jiong WangDepartment of Medicine, Division of Nephrology, University of Rochester, Rochester, New York, USA.
Dongmei LiClinical and Translational Science Institute, University of Rochester, Rochester, New York, USA.
Andrew CameronClinical Microbiology, Department of Pathology and Laboratory Medicine, University of Rochester, Rochester, New York, USA.
Qian ZhouDepartment of Medicine, Division of Nephrology, University of Rochester, Rochester, New York, USA.
Alexander WiltseDepartment of Medicine, Division of Nephrology, University of Rochester, Rochester, New York, USA.
Jennifer NayakDepartment of Pediatrics, Division of Infectious Diseases, University of Rochester, Rochester, New York, USA.
Nicole D PecoraClinical Microbiology, Department of Pathology and Laboratory Medicine, University of Rochester, Rochester, New York, USA.
Martin S ZandDepartment of Medicine, Division of Nephrology, University of Rochester, Rochester, New York, USA.ORCID 0000-0002-7095-8682
University of Rochester · US

Funding

The University of Rochester's Clinical and Translational Science InstituteUL1TR002001 · NCATS · UNIVERSITY OF ROCHESTER · PI WILSON, KAREN M., ZAND, MARTIN S · 2016 to 2024
$34.6M
Modeling Mechanisms of Adjuvanted Influenza Vaccine Induced IgG Repertoire Diversity and Heterosubtypic ImmunityR01AI129518 · NIAID · UNIVERSITY OF ROCHESTER · PI HYRIEN, OLLIVIER, ZAND, MARTIN S · 2017 to 2021
$3.5M
Predictive Modeling of Multidimensional Anti-Influenza IgG RepertoiresR21AI138500 · NIAID · UNIVERSITY OF ROCHESTER · PI ZAND, MARTIN S · 2018 to 2019
$424k
NCATS NIH HHS UL1 TR002001NIAID NIH HHS R01 AI129518NIAID NIH HHS R21 AI138500
6 · The paper itself

Abstract

backgroundA protective antibody response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is crucial to decrease morbidity and mortality from severe coronavirus disease 2019 (COVID-19) disease. The effects of preexisting anti-human coronavirus (HCoV) antibodies on the SARS-CoV-2-specific immunoglobulin G (IgG) responses and severity of disease are currently unclear.

methodsWe profiled anti-spike (S), S1, S2, and receptor-binding domain IgG antibodies against SARS-CoV-2 and 6 HCoVs using a multiplex assay (mPLEX-CoV) with serum samples from SARS-CoV-2 infected (n = 155) and pre-COVID-19 (n = 188) cohorts.

resultsCOVID-19 subjects showed significantly increased anti-S SARS-CoV-2 IgG levels that were highly correlated with IgG antibodies against OC43 and HKU1 S proteins. However, OC43 and HKU1 anti-S antibodies in pre-COVID-19 era sera did not cross-react with SARS-CoV-2. Unidirectional cross-reactive antibodies elicited by SARS-CoV-2 infection were distinct from the bidirectional cross-reactive antibodies recognizing homologous strains RaTG13 and SARS-CoV-1. High anti-OC43 and anti-S2 antibody levels were associated with both a rapid anti-SARS-CoV-2 antibody response and increased disease severity. Subjects with increased sequential organ failure assessment (SOFA) scores developed a higher ratio of S2- to S1-reactive antibodies.

conclusionsEarly and rapid emergence of OC43 S- and S2-reactive IgG after SARS-CoV-2 infection correlates with COVID-19 disease severity.

Indexed as

COVID-19Antibodies, ViralCross ReactionsHumansImmunoglobulin GSARS-CoV-2Severity of Illness IndexSpike Glycoprotein, CoronavirusAntibodies, ViralImmunoglobulin GSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2common cold human coronaviruses (HCoVs)cross-reactive antibody responseimmune imprintingSARS-CoV-2

Identifiers

PMID35091739
PMCPMC8807312
OpenAlexW4206909051

What OpenQuestion 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 OpenQuestion graph.