Evidence map›Paper›PMID 29234936›Full record

ArticleJournal of pharmacokinetics and pharmacodynamics2018

A generic whole body physiologically based pharmacokinetic model for therapeutic proteins in PK-Sim.

Christoph Niederalt, Lars Kuepfer, Juri Solodenko, Thomas Eissing, Hans-Ulrich Siegmund, Michael Block, Stefan Willmann, Jörg Lippert

Open access · hybridAbstract read
In one paragraph

Article in Journal of pharmacokinetics and pharmacodynamics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 2 pooled it
6.0field-weighted citation impact, top 3% 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

71 citing papers in PubMed, 2 syntheses or guidelines pooled it, 110 citations in OpenAlex.

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11 more citing papers are in PubMed but not listed here.

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

8 authors at 1 institution in 1 country.

Christoph NiederaltClinical Pharmacometrics, Bayer AG Pharmaceuticals, 51368, Leverkusen, Germany. christoph.niederalt@bayer.com.
Lars KuepferClinical Pharmacometrics, Bayer AG Pharmaceuticals, 51368, Leverkusen, Germany.
Juri SolodenkoClinical Pharmacometrics, Bayer AG Pharmaceuticals, 51368, Leverkusen, Germany.
Thomas EissingClinical Pharmacometrics, Bayer AG Pharmaceuticals, 51368, Leverkusen, Germany.
Hans-Ulrich SiegmundClinical Pharmacometrics, Bayer AG Pharmaceuticals, 51368, Leverkusen, Germany.
Michael BlockClinical Pharmacometrics, Bayer AG Pharmaceuticals, 51368, Leverkusen, Germany.
Stefan WillmannClinical Pharmacometrics, Bayer AG Pharmaceuticals, 42113, Wuppertal, Germany.
Jörg LippertClinical Pharmacometrics, Bayer AG Pharmaceuticals, 42113, Wuppertal, Germany.
Bayer (Germany) · DE

Funding

German Federal Ministry of Education and Research 0315280FGerman Federal Ministry of Education and Research 0316186CGerman Federal Ministry of Education and Research 03X0020
6 · The paper itself

Abstract

Proteins are an increasingly important class of drugs used as therapeutic as well as diagnostic agents. A generic physiologically based pharmacokinetic (PBPK) model was developed in order to represent at whole body level the fundamental mechanisms driving the distribution and clearance of large molecules like therapeutic proteins. The model was built as an extension of the PK-Sim model for small molecules incorporating (i) the two-pore formalism for drug extravasation from blood plasma to interstitial space, (ii) lymph flow, (iii) endosomal clearance and (iv) protection from endosomal clearance by neonatal Fc receptor (FcRn) mediated recycling as especially relevant for antibodies. For model development and evaluation, PK data was used for compounds with a wide range of solute radii. The model supports the integration of knowledge gained during all development phases of therapeutic proteins, enables translation from pre-clinical species to human and allows predictions of tissue concentration profiles which are of relevance for the analysis of on-target pharmacodynamic effects as well as off-target toxicity. The current implementation of the model replaces the generic protein PBPK model available in PK-Sim since version 4.2 and becomes part of the Open Systems Pharmacology Suite.

Indexed as

AnimalsAntibodies, MonoclonalEndosomesHistocompatibility Antigens Class IHumansKineticsMacaca fascicularisMiceMice, KnockoutModels, BiologicalPharmaceutical PreparationsProteinsRatsReceptors, FcSmall Molecule LibrariesTissue DistributionAntibodies, MonoclonalFc receptor, neonatalHistocompatibility Antigens Class IPharmaceutical PreparationsProteinsReceptors, FcSmall Molecule LibrariesAntibodiesBiologicsPBPKPhysiologically based pharmacokinetic modellingTherapeutic proteins

Identifiers

PMID29234936
PMCPMC5845054
OpenAlexW2773669447

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.