Evidence map›Paper›PMID 36824734›Full record

ArticlebioRxiv : the preprint server for biology2023

Mixed IgG Fc immune complexes exhibit blended binding profiles and refine FcR affinity estimates.

Zhixin Cyrillus Tan, Anja Lux, Markus Biburger, Prabha Varghese, Stephen Lees, Falk Nimmerjahn, Aaron S Meyer

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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

7 authors at 3 institutions in 3 countries.

Zhixin Cyrillus TanBioinformatics Interdepartmental Program, University of California, Los Angeles (UCLA).
Anja LuxDepartment of Genetics, Friedrich-Alexander-University of Erlangen-Nürnberg.
Markus BiburgerDepartment of Genetics, Friedrich-Alexander-University of Erlangen-Nürnberg.
Prabha VargheseDepartment of Genetics, Friedrich-Alexander-University of Erlangen-Nürnberg.
Stephen LeesDepartment of Bioengineering, UCLA.
Falk NimmerjahnDepartment of Genetics, Friedrich-Alexander-University of Erlangen-Nürnberg.
Aaron S MeyerBioinformatics Interdepartmental Program, University of California, Los Angeles (UCLA).
Friedrich-Alexander-Universität Erlangen-Nürnberg · DEUniversity of California, Los Angeles · USBioengineering Center · RU

Funding

Mapping the effector response space of antibody combinationsU01AI148119 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MEYER, AARON SAMUEL, NIMMERJAHN, FALK · 2020 to 2024
$1.6M
NIAID NIH HHS U01 AI148119
6 · The paper itself

Abstract

Immunoglobulin (Ig)G antibodies coordinate immune effector responses by selectively binding to target antigens and then interacting with various effector cells via the Fcγ receptors. The Fc domain of IgG can promote or inhibit distinct effector responses across several different immune cell types through variation based on subclass and Fc domain glycosylation. Extensive characterization of these interactions has revealed how the inclusion of certain Fc subclasses or glycans results in distinct immune responses. During an immune response, however, IgG is produced with mixtures of Fc domain properties, so antigen-IgG immune complexes are likely to almost always be comprised of a combination of Fc forms. Whether and how this mixed composition influences immune effector responses has not been examined. Here, we measured Fcγ receptor binding to immune complexes of mixed Fc domain composition. We found that the binding properties of the mixed-composition immune complexes fell along a continuum between those of the corresponding pure cases. Binding quantitatively matched a mechanistic binding model, except for several low-affinity interactions mostly involving IgG2. We found that the affinities of these interactions are different than previously reported, and that the binding model could be used to provide refined estimates of these affinities. Finally, we demonstrated that the binding model can predict effector-cell elicited platelet depletion in humanized mice, with the model inferring the relevant effector cell populations. Contrary to the previous view in which IgG2 poorly engages with effector populations, we observe appreciable binding through avidity, but insufficient amounts to observe immune effector responses. Overall, this work demonstrates a quantitative framework for reasoning about effector response regulation arising from IgG of mixed Fc composition. Summary points: The binding behavior of mixed Fc immune complexes is a blend of the binding properties for each constituent IgG species.An equilibrium, multivalent binding model can be generalized to incorporate immune complexes of mixed Fc composition.Particularly for low-affinity IgG-Fcγ receptor interactions, immune complexes provide better estimates of affinities.The FcγR binding model predicts effector-elicited cell clearance in humanized mice.

Identifiers

PMID36824734
PMCPMC9949097
OpenAlexW4320880536

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.