Evidence map›Paper›PMID 40028815›Full record

ArticleHuman vaccines & immunotherapeutics2025

Impact of FcRn antagonism on vaccine-induced protective immune responses against viral challenge in COVID-19 and influenza mouse vaccination models.

Prajakta Warang, Gagandeep Singh, Mahan Moshir, Ornella Binazon, Gabriel Laghlali, Lauren A Chang, Heidi Wouters, Peter Vanhoenacker, Margo Notebaert, Nadia Elhemdaoui and 5 more

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Targeting FcRn for immunomodulation: a promising therapy in autoimmune inflammatory rheumatic diseases.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
    Review
  3. Review
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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

15 authors.

Prajakta WarangDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Gagandeep SinghDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Mahan MoshirDepartment of Translational & Clinical Sciences, Argenx, Ghent, Belgium.
Ornella BinazonDepartment of Non-Clinical Pharmacology & Toxicology, Argenx, Ghent, Belgium.
Gabriel LaghlaliDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Lauren A ChangDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Heidi WoutersDepartment of Biostatistics, Argenx, Ghent, Belgium.
Peter VanhoenackerDepartment of Bioanalytics, Argenx, Ghent, Belgium.
Margo NotebaertDepartment of Bioanalytics, Argenx, Ghent, Belgium.
Nadia ElhemdaouiDepartment of Bioanalytics, Argenx, Ghent, Belgium.
Kateřina AugustynkováDepartment of Bioanalytics, Argenx, Ghent, Belgium.
Sophie SteelandDepartment of Translational & Clinical Sciences, Argenx, Ghent, Belgium.
Peter UlrichtsDepartment of Translational & Clinical Sciences, Argenx, Ghent, Belgium.
Judith BaumeisterDepartment of Non-Clinical Pharmacology & Toxicology, Argenx, Ghent, Belgium.
Michael SchotsaertDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antagonism of the neonatal Fc receptor through an engineered antibody Fc fragment, such as efgartigimod, results in a decrease in immunoglobulin G levels. This approach is being evaluated as a therapeutic strategy for the treatment of IgG-mediated autoimmune diseases. Our goal was to evaluate the impact of mFc-ABDEG, a mouse-adapted antibody Fc fragment with a mode of action highly similar to efgartigimod, on vaccine-induced protective immune responses against viral infections. Therefore, mouse vaccination models for COVID-19 and influenza were employed, utilizing an mRNA COVID-19 vaccine (COMIRNATY) and an adjuvanted, inactivated quadrivalent influenza vaccine (Seqirus+AddaVax), respectively. In both models, vaccination induced robust humoral responses. As expected, animals treated with mFc-ABDEG had lower levels of virus-specific IgG, while virus-specific IgM responses remained unaffected. The COVID-19 vaccine induced a strong Th1-type T cell response irrespective of mFc-ABDEG treatment. Influenza vaccination resulted in a poor T cell induction, regardless of mFc-ABDEG treatment, due to the Th2-biased response that inactivated influenza vaccines typically induce. Importantly, mFc-ABDEG treatment had no effect on protective immunity against live viral challenges in both models. Vaccinated animals treated with mFc-ABDEG were equally protected as the non-treated vaccinated controls. These non-clinical data demonstrate that FcRn antagonism with mFc-ABDEG did not affect the generation of vaccine-induced protective humoral and cellular responses, or protection against viral challenges. These data substantiate the clinical observations that, although IgG titers were reduced, FcRn antagonism with efgartigimod did not impair the ability to generate new specific IgG responses, regardless of the timing of vaccination.

Indexed as

COVID-19COVID-19 VaccinesHistocompatibility Antigens Class IInfluenza VaccinesOrthomyxoviridae InfectionsReceptors, FcAnimalsAntibodies, ViralDisease Models, AnimalFemaleImmunity, HumoralImmunoglobulin Fc FragmentsImmunoglobulin GMiceSARS-CoV-2VaccinationAntibodies, ViralCOVID-19 VaccinesFc receptor, neonatalHistocompatibility Antigens Class IImmunoglobulin Fc FragmentsImmunoglobulin GInfluenza VaccinesReceptors, FcVaccines, InactivatedCOVID-19efgartigimodFcRnimmunityinfluenzamFc-ABDEGSARS-CoV-2vaccination

Identifiers

PMID40028815
PMCPMC11881870

What OpenQuestion holds

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LicenceCC BY-NC
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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.