{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,26]],"date-time":"2026-04-26T07:35:22Z","timestamp":1777188922880,"version":"3.51.4"},"reference-count":43,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T00:00:00Z","timestamp":1757980800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Immunol."],"abstract":"<jats:sec><jats:title>Introduction<\/jats:title><jats:p>Recent vaccine and infectious disease studies have highlighted the importance of antibodies that activate cellular Fc functions, including antibody-dependent cellular phagocytosis (ADCP) and antibody-dependent cellular cytotoxicity (ADCC), which are mediated by different Fc gamma Receptors (Fc\u03b3Rs). Activation of these functions requires complex overlapping interactions between IgG antibodies, Fc\u03b3Rs, and antigens that can be challenging to deconvolve experimentally.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Here we created an ordinary differential equation model that simultaneously predicted Fc\u03b3RIIIa immune complexes upstream of ADCC and Fc\u03b3RIIa immune complexes upstream of ADCP as a function of antigen, IgG, and Fc\u03b3R concentration and binding properties. We then used the model to dissect mechanisms driving immune complex formation.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Model results suggested that the maximum formation of immune complexes would not occur at highest total IgG titers. Instead, higher IgG titers have the potential to decrease Fc\u03b3RIIIa (ADCC) and\/or Fc\u03b3RIIa (ADCP) immune complexes, due to competition between antibody subclasses for antigen and Fc\u03b3R binding. We used the model to simulate vaccine boosts of IgG1 or IgG3 in 105 participants from an HIV vaccine trial, and found that boosting IgG1 and IgG3 in combination was not predicted to result in significant changes in either Fc\u03b3RIIIa (ADCC) or Fc\u03b3RIIa (ADCP) immune complexes. Surprisingly, simulated boosting of IgG3 alone had the potential to significantly decrease ADCP (p&amp;lt;0.00001), though it would increase ADCC responses. We also illustrated how the model could be used to assess how variability in viral load, Fc\u03b3R expression, Fc\u03b3R polymorphisms, and IgG titers across different tissue compartments can lead to differences in Fc\u03b3RIIIa and Fc\u03b3RIIa complexes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Discussion<\/jats:title><jats:p>Altogether, these results illustrate how a computational framework provides new quantitative insights into activation of Fc effector functions that could be used to guide future rational design of therapeutic and prophylactic interventions.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fimmu.2025.1578500","type":"journal-article","created":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T05:35:41Z","timestamp":1758000941000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Understanding mechanistic relationships between IgG titers and Fc effector functions: a computational framework to assess 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