Evidence map›Paper›PMID 34401890›Full record

ArticlemedRxiv : the preprint server for health sciences2021

Antibody Attributes that Predict the Neutralization and Effector Function of Polyclonal Responses to SARS-CoV-2.

Harini Natarajan, Shiwei Xu, Andrew R Crowley, Savannah E Butler, Joshua A Weiner, Evan M Bloch, Kirsten Littlefield, Sarah E Benner, Ruchee Shrestha, Olivia Ajayi and 11 more

Open access · greenAbstract 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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 4 institutions in 1 country.

Harini NatarajanDepartment of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, NH, USA.
Shiwei XuProgram in Quantitative Biological Sciences, Dartmouth College, Hanover, NH, USA.
Andrew R CrowleyDepartment of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, NH, USA.
Savannah E ButlerDepartment of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, NH, USA.
Joshua A WeinerThayer School of Engineering, Dartmouth College, Hanover, NH, USA.
Evan M BlochDepartment of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Kirsten LittlefieldW. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Sarah E BennerDepartment of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Ruchee ShresthaDepartment of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Olivia AjayiDepartment of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Wendy Wieland-AlterDepartment of Pediatrics, Geisel School of Medicine at Dartmouth, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA.
David SullivanW. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Shmuel ShohamDepartment of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Thomas C QuinnDepartment of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Arturo CasadevallW. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Andrew PekoszW. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Andrew D ReddDepartment of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Aaron A R TobianDepartment of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Ruth I ConnorDepartment of Pediatrics, Geisel School of Medicine at Dartmouth, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA.
Peter F WrightDepartment of Pediatrics, Geisel School of Medicine at Dartmouth, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA.
Margaret E AckermanDepartment of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, NH, USA.
Johns Hopkins University · USDartmouth College · USDartmouth–Hitchcock Medical Center · USNational Institutes of Health · US

Funding

IMMUNOBIOLOGY OF MYELOID AND LYMPHOID CELLST32AI007363 · NIAID · DARTMOUTH COLLEGE · PI Claudia V Jakubzick · 1990 to 2026
$9.5M
NIAID NIH HHS T32 AI007363
6 · The paper itself

Abstract

While antibodies provide significant protection from SARS-CoV-2 infection and disease sequelae, the specific attributes of the humoral response that contribute to immunity are incompletely defined. In this study, we employ machine learning to relate characteristics of the polyclonal antibody response raised by natural infection to diverse antibody effector functions and neutralization potency with the goal of generating both accurate predictions of each activity based on antibody response profiles as well as insights into antibody mechanisms of action. To this end, antibody-mediated phagocytosis, cytotoxicity, complement deposition, and neutralization were accurately predicted from biophysical antibody profiles in both discovery and validation cohorts. These predictive models identified SARS-CoV-2-specific IgM as a key predictor of neutralization activity whose mechanistic relevance was supported experimentally by depletion. Validated models of how different aspects of the humoral response relate to antiviral antibody activities suggest desirable attributes to recapitulate by vaccination or other antibody-based interventions.

Identifiers

PMID34401890
PMCPMC8366811
OpenAlexW3190776245

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.