Evidence map›Paper›PMID 33674317›Full record

ArticleScience advances2021

Longitudinal antibody repertoire in "mild" versus "severe" COVID-19 patients reveals immune markers associated with disease severity and resolution.

Supriya Ravichandran, Youri Lee, Gabrielle Grubbs, Elizabeth M Coyle, Laura Klenow, Osamu Akasaka, Michiko Koga, Eisuke Adachi, Makoto Saito, Ichiro Nakachi and 13 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

50 citing papers in PubMed, 81 citations in OpenAlex.

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  20. Cross-reactive humoral and CD4Frontiers in immunology · 2023
    Article
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

23 authors at 5 institutions in 2 countries.

Supriya RavichandranDivision of Viral Products, Center for Biologics Evaluation and Research (CBER), FDA, Silver Spring, MD 20871, USA.ORCID 0000-0002-7852-4440
Youri LeeDivision of Viral Products, Center for Biologics Evaluation and Research (CBER), FDA, Silver Spring, MD 20871, USA.
Gabrielle GrubbsDivision of Viral Products, Center for Biologics Evaluation and Research (CBER), FDA, Silver Spring, MD 20871, USA.
Elizabeth M CoyleDivision of Viral Products, Center for Biologics Evaluation and Research (CBER), FDA, Silver Spring, MD 20871, USA.
Laura KlenowDivision of Viral Products, Center for Biologics Evaluation and Research (CBER), FDA, Silver Spring, MD 20871, USA.
Osamu AkasakaEmergency Medical Center, Fujisawa City Hospital 2-6-1 Fujisawa, Fujisawa City, Kanagawa 251-8550, Japan.
Michiko KogaDivision of Infectious Diseases, Advanced Clinical Research Center, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan.ORCID 0000-0002-3122-9735
Eisuke AdachiDivision of Infectious Diseases, Advanced Clinical Research Center, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan.ORCID 0000-0002-1623-873X
Makoto SaitoDivision of Infectious Diseases, Advanced Clinical Research Center, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan.ORCID 0000-0002-1667-9287
Ichiro NakachiPulmonary Division, Department of Internal Medicine, Saiseikai Utsunomiya Hospital 911-1 Takebayashimachi, Utsunomiya 321-0974, Japan.ORCID 0000-0002-3930-9318
Takayuki OguraDepartment of Emergency & Intensive care, Saiseikai Utsunomiya Hospital 911-1 Takebayashimachi, Utsunomiya 321-0974, Japan.ORCID 0000-0002-2525-4985
Rie BabaPulmonary Division, Department of Internal Medicine, Saiseikai Utsunomiya Hospital 911-1 Takebayashimachi, Utsunomiya 321-0974, Japan.ORCID 0000-0002-8255-1978
Mutsumi ItoDivision of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan.
Maki KisoDivision of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan.
Atsuhiro YasuharaDivision of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan.
Shinya YamadaDivision of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan.
Yuko Sakai-TagawaDivision of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan.
Kiyoko Iwatsuki-HorimotoDivision of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan.ORCID 0000-0002-8266-020X
Masaki ImaiDivision of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan.
Seiya YamayoshiDivision of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan.ORCID 0000-0001-7768-5157
Hiroshi YotsuyanagiDivision of Infectious Diseases, Advanced Clinical Research Center, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan.
Yoshihiro KawaokaDivision of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan.ORCID 0000-0001-5061-8296
Surender KhuranaDivision of Viral Products, Center for Biologics Evaluation and Research (CBER), FDA, Silver Spring, MD 20871, USA. surender.khurana@fda.hhs.gov.ORCID 0000-0002-0593-7965
Tokyo University of Science · JPCenter for Biologics Evaluation and Research · USSaiseikai Utsunomiya hospital · JPFujisawa City Hospital · JPUniversity of Wisconsin–Madison · US

Funding

NIAID NIH HHS HHSN272201400008C
6 · The paper itself

Abstract

Limited knowledge exists on immune markers associated with disease severity or recovery in patients with coronavirus disease 2019 (COVID-19). Here, we elucidated longitudinal evolution of SARS-CoV-2 antibody repertoire in patients with acute COVID-19. Differential kinetics was observed for immunoglobulin M (IgM)/IgG/IgA epitope diversity, antibody binding, and affinity maturation in "severe" versus "mild" COVID-19 patients. IgG profile demonstrated immunodominant antigenic sequences encompassing fusion peptide and receptor binding domain (RBD) in patients with mild COVID-19 who recovered early compared with "fatal" COVID-19 patients. In patients with severe COVID-19, high-titer IgA were observed, primarily against RBD, especially in patients who succumbed to SARS-CoV-2 infection. The patients with mild COVID-19 showed marked increase in antibody affinity maturation to prefusion SARS-CoV-2 spike that associated with faster recovery from COVID-19. This study revealed antibody markers associated with disease severity and resolution of clinical disease that could inform development and evaluation of effective immune-based countermeasures against COVID-19.

Indexed as

Severity of Illness IndexAntibodies, ViralAntibody AffinityAntibody FormationAntigens, ViralBiomarkersCOVID-19CytokinesHEK293 CellsHospitalizationHumansImmunoglobulin Class SwitchingKineticsNeutralization TestsProtein BindingProtein DomainsAntibodies, ViralAntigens, ViralBiomarkersCytokinesSpike Glycoprotein, Coronavirus

Identifiers

PMID33674317
PMCPMC7935365
OpenAlexW3134424246

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.