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. 2024 May 16;31(5):944-954.e5.
doi: 10.1016/j.chembiol.2024.03.010. Epub 2024 Apr 22.

Facile generation of biepitopic antibodies with intrinsic agonism for activating tumor necrosis factor receptors

Affiliations

Facile generation of biepitopic antibodies with intrinsic agonism for activating tumor necrosis factor receptors

Harkamal S Jhajj et al. Cell Chem Biol. .

Abstract

Agonist antibodies are being pursued for therapeutic applications ranging from neurodegenerative diseases to cancer. For the tumor necrosis factor (TNF) receptor superfamily, higher-order clustering of three or more receptors is key to their activation, which can be achieved using antibodies that recognize two unique epitopes. However, the generation of biepitopic (i.e., biparatopic) antibodies typically requires animal immunization and is laborious and unpredictable. Here, we report a simple method for identifying biepitopic antibodies that potently activate TNF receptors without the need for additional animal immunization. Our approach uses existing, receptor-specific IgGs, which lack intrinsic agonist activity, to block their corresponding epitopes, then selects single-chain antibodies that bind accessible epitopes. The selected antibodies are fused to the light chains of IgGs to generate human tetravalent antibodies. We highlight the broad utility of this approach by converting several clinical-stage antibodies against OX40 and CD137 (4-1BB) into biepitopic antibodies with potent agonist activity.

Keywords: 4-1BB; CD137; FcγR; OX40; TNF; TNFR; agonist; antibody; biparatopic; mAb; receptor clustering.

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Conflict of interest statement

Declaration of interests P.T. is a member of the scientific advisory boards for Nabla Bio, Adimab, Aureka Biotechnologies, and Dualitas Therapeutics.

Figures

Figure 1.
Figure 1.. Overview of approach for isolating single-chain antibodies from human libraries with unique receptor (OX40) epitopes relative to a clinical-stage OX40 antibody.
A human single-chain (scFv) library displayed on yeast was enriched for binding to the human OX40 ectodomain via magnetic-activated cell sorting (MACS, one sort) and fluorescence-activated cell sorting (FACS, three sorts). Next, a clinical-stage OX40 IgG (11D4, also known as ivuxolimab) was used to block its OX40 epitope on the soluble OX40 ectodomain, and the library was further enriched against the OX40/IgG complex to identify scFvs with unique OX40 epitopes. Three unique scFvs (OX.F1, OX.F2, and OX.F3) were discovered using this approach. The figure was made using BioRender. See also Figures S1–S2.
Figure 2.
Figure 2.. Selected single-chain antibody possesses unique OX40 epitope relative to 11D4 IgG.
(A) The candidate single-chain antibody (OX.F2) was displayed on yeast and evaluated for binding to monovalent OX40 ectodomain when the 11D4 epitope is pre-blocked. (B) The wild-type 11D4 single-chain Fab (scFab) on yeast loses binding to OX40 when the ectodomain is pre-incubated with 11D4 IgG, as expected. (C) Selected OX40 scFv (OX.F2) shows strong binding to OX40 in the presence and absence of 11D4 IgG pre-blocking. The results are averages of three independent experiments and the error bars are standard deviations. See also Figures S2 and S3.
Figure 3.
Figure 3.. Biepitopic OX40 antibody induces strong human CD4+ T cell activation in an FcγR-independent manner.
(A) Schematic illustration of the approach used to convert an existing clinical-stage antibody into a potent OX40 antibody with intrinsic agonist activity. (B) The biepitopic antibody induced strong human CD4+ T cell proliferation. Division index was calculated using the FlowJo Proliferation platform to evaluate proliferation at day 6. The results are averages of three independent experiments and the error bars are standard deviations. In (B), the biepitopic (IgG-scFv) antibodies displayed higher levels of proliferation than the monoepitopic antibodies and OX40 ligand at each concentration [p-value <0.05 (*), <0.01 (**), <0.001 (***), and <0.0001 (****)]. See also Figures S3–S6.
Figure 4.
Figure 4.. Generalization of the biepitopic antibody approach to additional OX40 clinical-stage antibodies results in potent human CD4+ T cell activation.
(A) Schematic of the process of competition-based analysis of antibody epitopes for clinical-stage OX40 agonists and antagonists, the resulting combination of IgGs with the OX.F2 scFv into biepitopic formats, and their evaluation for T cell activation. (B-C) Competition-based analysis of (B) 11D4 and (C) OX.F2 single-chain antibodies displayed on yeast binding to OX40 after pre-blocking OX40 with a clinical-stage OX40 antibody. (D) The biepitopic antibodies induced strong human CD4+ T cell proliferation. Division index was calculated using the FlowJo Proliferation platform to evaluate proliferation at day 6. The results are averages of three independent experiments and the error bars are standard deviations. 18D8-OX.F2 displayed higher levels of proliferation than telazorlimab-OX.F2 and OX40 ligand at each concentration, while pogalizumab-OX.F2 displayed higher levels of proliferation than telazorlimab-OX.F2 and OX40 ligand at 0.02 and 0.2 μg/mL [p-value <0.05 (*), <0.01 (**), <0.001 (***), and <0.0001 (****)]. See also Figures S4, S6, and S7.
Figure 5.
Figure 5.. Generalization of the biepitopic antibody approach to an additional TNF receptor (CD137) results in potent human CD8+ T cell activation.
(A) A human scFv library was enriched against the human CD137 ectodomain via MACS (one sort) and FACS (three sorts). Next, the library was enriched for CD137 binding in the presence of a clinical-stage CD137 IgG (utomilumab, uto.; two sorts). (B) Schematic of the approach used to convert utomilumab into a biepitopic CD137 antibody with intrinsic agonist activity. (C) The isolated CD137 single-chain antibody (CD.K2) displayed on yeast bound CD137 ectodomain in the absence and presence of uto IgG. (D) The biepitopic antibody (utomilumab-CD.K2; uto-CD.K2) induced strong human CD8+ T cell proliferation, as judged by CD25 expression, relative to the monoepitopic antibodies and a control IgG. The results are averages of five independent experiments and the error bars are standard deviations [p-value <0.01 (**) and <0.0001 (****)]. See also Figures S8–S10.

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