Antibody attributes that predict the neutralization and effector function of polyclonal responses to SARS-CoV-2 Article Swipe
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
,
Wendy Wieland‐Alter
,
David Sullivan
,
Shmuel Shoham
,
Thomas C. Quinn
,
Arturo Casadevall
,
Andrew Pekosz
,
Andrew D. Redd
,
Aaron A.R. Tobian
,
Ruth I. Connor
,
Peter F. Wright
,
Margaret E. Ackerman
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1186/s12865-022-00480-w
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1186/s12865-022-00480-w
Background While antibodies can 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. Methods 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. Results 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 models identified SARS-CoV-2-specific IgM as a key predictor of neutralization activity whose mechanistic relevance was supported experimentally by depletion. Conclusions 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.
Related Topics
Concepts
Neutralization
Antibody
Immunology
Polyclonal antibodies
Biology
Antibody-dependent cell-mediated cytotoxicity
Humoral immunity
Effector
Immune system
Virology
Antibody-dependent enhancement
Antibody response
Monoclonal antibody
Virus
Viral replication
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1186/s12865-022-00480-w
- https://bmcimmunol.biomedcentral.com/track/pdf/10.1186/s12865-022-00480-w
- OA Status
- gold
- Cited By
- 8
- References
- 89
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4226071034
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4226071034Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1186/s12865-022-00480-wDigital Object Identifier
- Title
-
Antibody attributes that predict the neutralization and effector function of polyclonal responses to SARS-CoV-2Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-02-16Full publication date if available
- Authors
-
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, Wendy Wieland‐Alter, David Sullivan, Shmuel Shoham, Thomas C. Quinn, Arturo Casadevall, Andrew Pekosz, Andrew D. Redd, Aaron A.R. Tobian, Ruth I. Connor, Peter F. Wright, Margaret E. AckermanList of authors in order
- Landing page
-
https://doi.org/10.1186/s12865-022-00480-wPublisher landing page
- PDF URL
-
https://bmcimmunol.biomedcentral.com/track/pdf/10.1186/s12865-022-00480-wDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://bmcimmunol.biomedcentral.com/track/pdf/10.1186/s12865-022-00480-wDirect OA link when available
- Concepts
-
Neutralization, Antibody, Immunology, Polyclonal antibodies, Biology, Antibody-dependent cell-mediated cytotoxicity, Humoral immunity, Effector, Immune system, Virology, Antibody-dependent enhancement, Antibody response, Monoclonal antibody, Virus, Viral replicationTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
8Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 3, 2023: 2, 2022: 3Per-year citation counts (last 5 years)
- References (count)
-
89Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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