Evidence map›Paper›PMID 32697437›Full record

ArticleCPT: pharmacometrics & systems pharmacology2020

A Physiologically-Based Pharmacokinetic Model for the Prediction of "Half-Life Extension" and "Catch and Release" Monoclonal Antibody Pharmacokinetics.

Hannah M Jones, John Tolsma, Zhiwei Zhang, Paul Jasper, Haobin Luo, Gregory L Weber, Katherine Wright, Joel Bard, Robert Bell, Dean Messing and 3 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. In Translation: FcRn across the Therapeutic Spectrum.International journal of molecular sciences · 2021
    Review
  8. 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

13 authors at 2 institutions in 1 country.

Hannah M JonesBioMedicine Design, Pfizer Worldwide R&D, Cambridge, Massachusetts, USA.
John TolsmaRES Group Inc., Needham, Massachusetts, USA.
Zhiwei ZhangRES Group Inc., Needham, Massachusetts, USA.
Paul JasperRES Group Inc., Needham, Massachusetts, USA.
Haobin LuoRES Group Inc., Needham, Massachusetts, USA.
Gregory L WeberBioMedicine Design, Pfizer Worldwide R&D, Cambridge, Massachusetts, USA.
Katherine WrightBioMedicine Design, Pfizer Worldwide R&D, Andover, Massachusetts, USA.
Joel BardBioMedicine Design, Pfizer Worldwide R&D, Cambridge, Massachusetts, USA.
Robert BellRare Disease Research Unit, Pfizer Worldwide R&D, Cambridge, Massachusetts, USA.
Dean MessingBioMedicine Design, Pfizer Worldwide R&D, Cambridge, Massachusetts, USA.
Kerry KelleherBioMedicine Design, Pfizer Worldwide R&D, Cambridge, Massachusetts, USA.
Nicole Piche-NicholasBioMedicine Design, Pfizer Worldwide R&D, Cambridge, Massachusetts, USA.
Robert WebsterBioMedicine Design, Pfizer Worldwide R&D, Cambridge, Massachusetts, USA.
Pfizer (United States) · USRenewable Energy Systems (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monoclonal antibodies (mAbs) can be engineered to have "extended half-life" and "catch and release" properties to improve target coverage. We have developed a mAb physiologically-based pharmacokinetic model that describes intracellular trafficking, neonatal Fc receptor (FcRn) recycling, and nonspecific clearance of mAbs. We extended this model to capture target binding as a function of target affinity, expression, and turnover. For mAbs engineered to have an extended half-life, the model was able to accurately predict the terminal half-life (82% within 2-fold error of the observed value) in the human FcRn transgenic (Tg32) homozygous mouse and human. The model also accurately captures the trend in pharmacokinetic and target coverage data for a set of mAbs with differing catch and release properties in the Tg32 mouse. The mechanistic nature of this model allows us to explore different engineering techniques early in drug discovery, potentially expanding the number of "druggable" targets.

Indexed as

AnimalsAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedBroadly Neutralizing AntibodiesComputer SimulationDrug DevelopmentDrug DiscoveryHalf-LifeHistocompatibility Antigens Class IHIV AntibodiesHomozygoteHumansMiceMice, TransgenicModels, ImmunologicalMutationAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedBroadly Neutralizing AntibodiesFc receptor, neonatalHistocompatibility Antigens Class IHIV AntibodiesmotavizumabReceptors, FcsuvratoxumabVRC01 monoclonal antibody

Identifiers

PMID32697437
PMCPMC7499188
OpenAlexW3044346016

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.