Evidence map›Paper›PMID 42046367›Full record

ArticlemAbs2026

Engineering of acidic pH-responsive anti-CD3 binding antibodies.

Grégory La Sala, Katharina B Kroell, Mudita Pincha, Christian Gassner, Lorenzo Deho, Ekkehard Moessner, Xavier Gueripel, Nicole Borin, Moritz Classen, Jörg Benz and 6 more

Abstract read
In one paragraph

Article in mAbs, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

16 authors.

Grégory La SalaRoche Innovation Center Zurich, Roche Pharma Research and Early Development (pRED), Schlieren, Switzerland.ORCID 0000-0002-7747-0428
Katharina B KroellDepartment of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria.
Mudita PinchaRoche Innovation Center Zurich, Roche Pharma Research and Early Development (pRED), Schlieren, Switzerland.
Christian GassnerRoche Pharma Research and Early Development (pRED), Roche Innovation Center Munich, Roche Diagnostics GmbH, Penzberg, Germany.
Lorenzo DehoRoche Innovation Center Zurich, Roche Pharma Research and Early Development (pRED), Schlieren, Switzerland.
Ekkehard MoessnerRoche Innovation Center Zurich, Roche Pharma Research and Early Development (pRED), Schlieren, Switzerland.
Xavier GueripelRoche Innovation Center Zurich, Roche Pharma Research and Early Development (pRED), Schlieren, Switzerland.
Nicole BorinRoche Innovation Center Zurich, Roche Pharma Research and Early Development (pRED), Schlieren, Switzerland.
Moritz ClassenRoche Innovation Center Basel, Roche Pharma Research and Early Development (pRED), F. Hoffmann-La Roche Ltd, Basel, Switzerland.
Jörg BenzRoche Innovation Center Basel, Roche Pharma Research and Early Development (pRED), F. Hoffmann-La Roche Ltd, Basel, Switzerland.
Alexander BujotzekRoche Pharma Research and Early Development (pRED), Roche Innovation Center Munich, Roche Diagnostics GmbH, Penzberg, Germany.ORCID 0000-0001-5052-0221
Christian KleinRoche Innovation Center Zurich, Roche Pharma Research and Early Development (pRED), Schlieren, Switzerland.ORCID 0000-0001-7594-7280
Guy GeorgesRoche Pharma Research and Early Development (pRED), Roche Innovation Center Munich, Roche Diagnostics GmbH, Penzberg, Germany.ORCID 0000-0001-5737-006X
Adrian HugenmatterRoche Innovation Center Zurich, Roche Pharma Research and Early Development (pRED), Schlieren, Switzerland.
Klaus R LiedlDepartment of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria.ORCID 0000-0002-0985-2299
Anna VangoneRoche Pharma Research and Early Development (pRED), Roche Innovation Center Munich, Roche Diagnostics GmbH, Penzberg, Germany.ORCID 0000-0003-2485-7378

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of anti-CD3 antibody-based T cell engager therapeutics has improved the treatment of various malignancies, yet the challenge of achieving tumor-specific targeting while minimizing on-target off-tumor effects in normal tissues remains a substantial hurdle. One promising strategy to address this issue involves engineering antibodies with conditional pH-dependent binding affinities, capitalizing on the acidic microenvironment characteristics of tumors (pH ~ 6.5-6.8) compared to the neutral pH of healthy tissues (pH ~ 7.4). In this study, we focus on the pH-engineering of antibody binders against the human CD3 antigen, a critical component of T cell activation, to achieve preferential binding at acidic pH. Using molecular dynamics (MD) simulations on the reported CD3ɛ antibody binder 40G5c, we shed light on possible molecular mechanisms of the pH-responsiveness of key mutations and their impact on the overall binder structure at physiological or acidic pH. Our study highlights how MD has emerged as a powerful tool to guide and explain intrinsic pH-dependent molecular mechanisms in antibody engineering. Lastly, we report that our engineered CD3 binders preferentially bind and activate T cells under acidic pH conditions and display favorable affinity and pH-window profiles.

Indexed as

Antibodies, MonoclonalCD3 ComplexProtein EngineeringT-LymphocytesAntibody AffinityHumansHydrogen-Ion ConcentrationLymphocyte ActivationMolecular Dynamics SimulationProtein BindingAntibodies, MonoclonalCD3 Complexantibody engineeringAnti-CD3 antibodiesparatope dynamicsph-dependent bindingT cell activationVH–VL interface

Identifiers

PMID42046367
PMCPMC13128029

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.