Evidence map›Paper›PMID 28786732›Full record

ArticlemAbs2017

Maximizing in vivo target clearance by design of pH-dependent target binding antibodies with altered affinity to FcRn.

Danlin Yang, Craig Giragossian, Steven Castellano, Marcio Lasaro, Haiguang Xiao, Himanshu Saraf, Cynthia Hess Kenny, Irina Rybina, Zhong-Fu Huang, Jennifer Ahlberg and 6 more

Open access · goldAbstract read
In one paragraph

Article in mAbs, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
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

19 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Yeast Display Guided Selection of pH-Dependent Binders.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  14. In Translation: FcRn across the Therapeutic Spectrum.International journal of molecular sciences · 2021
    Review
  15. pH-responsive antibodies for therapeutic applications.Journal of biomedical science · 2021
    Review
  16. Targeting FcRn to Generate Antibody-Based Therapeutics.Trends in pharmacological sciences · 2018
    Review
  17. Article
  18. Article
  19. Article
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 at 3 institutions in 1 country.

Danlin Yanga Biotherapeutics Discovery Research , Boehringer Ingelheim Pharmaceuticals, Inc. , Ridgefield , Connecticut , USA.ORCID 0000-0002-5085-5950
Craig Giragossiana Biotherapeutics Discovery Research , Boehringer Ingelheim Pharmaceuticals, Inc. , Ridgefield , Connecticut , USA.
Steven Castellanob Duke University School of Medicine , Marilee Glen Court, Durham , North Carolina , USA.
Marcio Lasaroa Biotherapeutics Discovery Research , Boehringer Ingelheim Pharmaceuticals, Inc. , Ridgefield , Connecticut , USA.
Haiguang Xiaoa Biotherapeutics Discovery Research , Boehringer Ingelheim Pharmaceuticals, Inc. , Ridgefield , Connecticut , USA.
Himanshu Sarafa Biotherapeutics Discovery Research , Boehringer Ingelheim Pharmaceuticals, Inc. , Ridgefield , Connecticut , USA.
Cynthia Hess Kennya Biotherapeutics Discovery Research , Boehringer Ingelheim Pharmaceuticals, Inc. , Ridgefield , Connecticut , USA.
Irina Rybinaa Biotherapeutics Discovery Research , Boehringer Ingelheim Pharmaceuticals, Inc. , Ridgefield , Connecticut , USA.
Zhong-Fu Huanga Biotherapeutics Discovery Research , Boehringer Ingelheim Pharmaceuticals, Inc. , Ridgefield , Connecticut , USA.
Jennifer Ahlberga Biotherapeutics Discovery Research , Boehringer Ingelheim Pharmaceuticals, Inc. , Ridgefield , Connecticut , USA.ORCID 0000-0002-2892-4163
Tammy Bigwarfea Biotherapeutics Discovery Research , Boehringer Ingelheim Pharmaceuticals, Inc. , Ridgefield , Connecticut , USA.
Maria Myzithrasa Biotherapeutics Discovery Research , Boehringer Ingelheim Pharmaceuticals, Inc. , Ridgefield , Connecticut , USA.
Erica Waltza Biotherapeutics Discovery Research , Boehringer Ingelheim Pharmaceuticals, Inc. , Ridgefield , Connecticut , USA.
Simon Robertsa Biotherapeutics Discovery Research , Boehringer Ingelheim Pharmaceuticals, Inc. , Ridgefield , Connecticut , USA.ORCID 0000-0002-5743-3769
Rachel Kroe-Barretta Biotherapeutics Discovery Research , Boehringer Ingelheim Pharmaceuticals, Inc. , Ridgefield , Connecticut , USA.ORCID 0000-0003-1413-1223
Sanjaya Singhc Janssen BioTherapeutics , Janssen Research & Development , LLC, Spring House, Pennsylvania , USA.
Boehringer Ingelheim (United States) · USDuke University · USJanssen (United States) · US

Funding

Medical Scientist Training Program Training GrantT32GM145449 · NIGMS · DUKE UNIVERSITY · PI Christopher D Kontos · 2022 to 2026
$6.6M
NIGMS NIH HHS T32 GM145449
6 · The paper itself

Abstract

Antibodies with pH-dependent binding to both target antigens and neonatal Fc receptor (FcRn) provide an alternative tool to conventional neutralizing antibodies, particularly for therapies where reduction in antigen level is challenging due to high target burden. However, the requirements for optimal binding kinetic framework and extent of pH dependence for these antibodies to maximize target clearance from circulation are not well understood. We have identified a series of naturally-occurring high affinity antibodies with pH-dependent target binding properties. By in vivo studies in cynomolgus monkeys, we show that pH-dependent binding to the target alone is not sufficient for effective target removal from circulation, but requires Fc mutations that increase antibody binding to FcRn. Affinity-enhanced pH-dependent FcRn binding that is double-digit nM at pH 7.4 and single-digit nM at pH 6 achieved maximal target reduction when combined with similar target binding affinities in reverse pH directions. Sustained target clearance below the baseline level was achieved 3 weeks after single-dose administration at 1.5 mg/kg. Using the experimentally derived mechanistic model, we demonstrate the essential kinetic interplay between target turnover and antibody pH-dependent binding during the FcRn recycling, and identify the key components for achieving maximal target clearance. These results bridge the demand for improved patient dosing convenience with the "know-how" of therapeutic modality by design.

Indexed as

AnimalsAntibodies, MonoclonalAntibodies, NeutralizingAntibody AffinityHistocompatibility Antigens Class IHumansHydrogen-Ion ConcentrationMacaca fascicularisReceptors, FcAntibodies, MonoclonalAntibodies, NeutralizingFc receptor, neonatalHistocompatibility Antigens Class IReceptors, Fcantigen-antibody traffickingFcRn recyclingpatient dosing conveniencepH-dependentPK/PD modeltarget depletion

Identifiers

PMID28786732
PMCPMC5627591
OpenAlexW2743694836

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.