TNF receptor agonists induce distinct receptor clusters to mediate differential agonistic activity

Xiaojie Yu1, Sonya James2, James H Felce3

  • 1Antibody and Vaccine Group, School of Cancer Sciences, University of Southampton Faculty of Medicine, Southampton, UK. X.Yu@soton.ac.uk.

Insights

Monoclonal antibodies targeting costimulatory tumor necrosis factor receptors (TNFR) show varied antitumor effects. High receptor density, not cluster size, drives agonistic activity by shielding the receptor-agonist complex.

Area of Science:

  • Immunology
  • Molecular Biology
  • Biophysics

Background:

  • Monoclonal antibodies (mAbs) and natural ligands targeting costimulatory tumor necrosis factor receptors (TNFRs) have diverse agonistic activities and antitumor responses.
  • The precise mechanisms behind these differential activities are not fully understood.

Purpose of the Study:

  • To investigate the mechanisms underlying differential agonistic activities of molecules targeting human CD40, 4-1BB, and OX40.
  • To correlate molecular structure and receptor clustering with functional agonism.

Main Methods:

  • Utilized a panel of experimental and clinically-relevant mAbs and ligands.
  • Employed confocal and super-resolution microscopy (STORM) to analyze receptor clustering.
  • Compared antibody isotypes (hIgG1 vs. hIgG2) and their effects on receptor aggregation.

Main Results:

  • Strongly agonistic reagents induced receptor clusters with small areas and high receptor densities.
  • Human IgG2 (hIgG2) mediated significantly greater receptor clustering than hIgG1 across CD40, 4-1BB, and OX40.
  • Receptor clustering, particularly high density and unique super-structures like rod-shaped assemblies, correlated with enhanced agonism, shielding the complex.

Conclusions:

  • Receptor density and super-structure, rather than simply cluster size, are key determinants of agonistic activity.
  • Findings challenge the notion that larger receptor clusters equate to greater agonism.
  • Isotype selection (e.g., hIgG2) can significantly influence receptor clustering and therapeutic efficacy.

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