Evidence map›Paper›PMID 42182280›Full record

ArticlebioRxiv : the preprint server for biology2026

Multi-factorial regulatory networks of placental antibody transfer by Fc receptors and maternal IgG Fc characteristics are modulated by clinical covariate profiles.

Remziye E Wessel, Anna Sawik, Abigail Boyette, Guadalupe Martinez, Vanessa Kirschner, Caitlin Sullivan, Xu Yang, Lisa Zuckerwise, Parastoo Azadi, Ileana S Mauldin and 3 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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.

No citing paper in PubMed yet.

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

13 authors.

Remziye E WesselDepartment of Biomedical Engineering, University of Virginia School of Medicine, Charlottesville, Virginia 22908.ORCID 0000-0002-8596-4700
Anna SawikDepartment of Biomedical Engineering, University of Virginia School of Medicine, Charlottesville, Virginia 22908.
Abigail BoyetteDepartment of Biomedical Engineering, University of Virginia School of Medicine, Charlottesville, Virginia 22908.
Guadalupe MartinezDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of California, Los Angeles, Los Angeles, California 90095.
Vanessa KirschnerDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of California, Los Angeles, Los Angeles, California 90095.
Caitlin SullivanDepartment of Biomedical Engineering, University of Virginia School of Medicine, Charlottesville, Virginia 22908.ORCID 0009-0003-4969-3928
Xu YangComplex Carbohydrate Research Center, University of Georgia, 315 Riverbend Road, Athens, Georgia 30602.ORCID 0000-0001-9802-9845
Lisa ZuckerwiseDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Virginia School of Medicine, Charlottesville, Virginia 22908.ORCID 0000-0003-4339-8939
Parastoo AzadiComplex Carbohydrate Research Center, University of Georgia, 315 Riverbend Road, Athens, Georgia 30602.ORCID 0000-0002-6166-9432
Ileana S MauldinDepartment of Surgery, University of Virginia School of Medicine, Charlottesville, Virginia 22908.ORCID 0000-0002-9318-8342
Donald J DudleyDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Virginia School of Medicine, Charlottesville, Virginia 22908.ORCID 0000-0002-2126-5839
Yalda AfsharDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of California, Los Angeles, Los Angeles, California 90095.ORCID 0000-0003-3807-7022
Sepideh DolatshahiDepartment of Biomedical Engineering, University of Virginia School of Medicine, Charlottesville, Virginia 22908.ORCID 0000-0003-0226-0933

Funding

Women's Oncology Program - WONP30CA044579 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Dina Gould Halme · 1987 to 2026
$72.1M
National Glycoscience Resource- CCRC Service and Training - NGlycoR@CCRCR24GM137782 · NIGMS · UNIVERSITY OF GEORGIA · PI Parastoo Azadi · 2020 to 2026
$5.2M
Interdisciplinary Training in Systems & Biomolecular Data ScienceT32GM145443 · NIGMS · UNIVERSITY OF VIRGINIA · PI Kevin A Janes, Jason Papin · 2022 to 2026
$1.5M
Mechanistic insights into the kinetics of Fc receptor-mediated placental antibody transfer to optimize maternal vaccine strategiesR01AI184565 · NIAID · UNIVERSITY OF VIRGINIA · PI Sepideh Dolatshahi · 2024 to 2026
$1.4M
NCI NIH HHS P30 CA044579NIAID NIH HHS R01 AI184565NIGMS NIH HHS R24 GM137782NIGMS NIH HHS T32 GM145443
6 · The paper itself

Abstract

Maternal immunoglobulin G (IgG) transferred across the placenta is crucial for newborn immunity. IgG transfer efficiency modulated by Fc characteristics including subclass and glycosylation gives rise to diverse transfer profiles across the population, yet the molecular mechanisms driving this variation are incompletely understood. To disentangle multimodal molecular relationships driving population heterogeneity in maternal-fetal antibody transfer, we characterized placental and serological antibody features in matched human tissues from two geographically distinct cohorts. Unsupervised clustering of maternal clinical covariates in both cohorts revealed a distinct patient profile with reduced plasma C-reactive protein and pregravid BMI and enhanced transfer efficiency of IgG subclasses. Quantification of IgG Fc glycan structures in matched maternal and cord plasma by liquid chromatography-mass spectrometry revealed subclass-specific IgG glycosylation patterns which impacted placental transfer efficiency and correlated with these key clinical features. We profiled expression and colocalization of key Fc γ Receptors (FcγRs) by multiplex immunohistochemistry, revealing cell type-specific expression patterns. Variable FcγR expression across gestation was consistent in both cohorts, implicating FcγRs as key drivers of temporal antibody transfer dynamics. While FcγRs were not strongly variable across the clinical profiles, partial correlation analysis of matched samples controlling for gestational age and demographic covariates revealed correlations between FcγR expression frequencies and glycan- and subclass-specific transfer efficiency. These data systematically define multi-factorial regulatory networks of antibody transfer by placental Fc receptors and maternal IgG Fc characteristics, which are further modulated by clinical covariates. This study provides a basis for the rational design of prenatal vaccination strategies, administration schedules, and potential lifestyle interventions to improve maternal-fetal immunity.

Identifiers

PMID42182280
PMCPMC13192856

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Registered trials

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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.