Evidence map›Paper›PMID 34378151›Full record

ArticleJournal of pharmacokinetics and pharmacodynamics2021

Minimal brain PBPK model to support the preclinical and clinical development of antibody therapeutics for CNS diseases.

Peter Bloomingdale, Suruchi Bakshi, Christian Maass, Eline van Maanen, Cesar Pichardo-Almarza, Daniela Bumbaca Yadav, Piet van der Graaf, Nitin Mehrotra

Open access · hybridAbstract read
In one paragraph

Article in Journal of pharmacokinetics and pharmacodynamics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
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  10. PBPK Modeling: Empowering Drug Development and Precision Dosing in China.CPT: pharmacometrics & systems pharmacology · 2025
    Review
  11. Bayesian inference informed by parameter subset selection for a minimal PBPK brain model.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
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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.

Peter BloomingdalePharmacokinetics, Pharmacodynamics, and Drug Metabolism, Merck & Co. Inc., Boston, MA, USA. PeterBloomingdale@gmail.com.
Suruchi BakshiCertara QSP, Oss, The Netherlands.
Christian MaassesqLABS GmbH, Berlin, Germany.
Eline van MaanenCertara IDD, Oss, The Netherlands.
Cesar Pichardo-AlmarzaCertara QSP, Canterbury, UK.
Daniela Bumbaca YadavPharmacokinetics, Pharmacodynamics, and Drug Metabolism, Merck & Co. Inc., Boston, MA, USA.
Piet van der GraafCertara QSP, Canterbury, UK.
Nitin MehrotraPharmacokinetics, Pharmacodynamics, and Drug Metabolism, Merck & Co. Inc., Boston, MA, USA.
Merck & Co., Inc., Rahway, NJ, USA (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are several antibody therapeutics in preclinical and clinical development, industry-wide, for the treatment of central nervous system (CNS) disorders. Due to the limited permeability of antibodies across brain barriers, the quantitative understanding of antibody exposure in the CNS is important for the design of antibody drug characteristics and determining appropriate dosing regimens. We have developed a minimal physiologically-based pharmacokinetic (mPBPK) model of the brain for antibody therapeutics, which was reduced from an existing multi-species platform brain PBPK model. All non-brain compartments were combined into a single tissue compartment and cerebral spinal fluid (CSF) compartments were combined into a single CSF compartment. The mPBPK model contains 16 differential equations, compared to 100 in the original PBPK model, and improved simulation speed approximately 11-fold. Area under the curve ratios for minimal versus full PBPK models were close to 1 across species for both brain and plasma compartments, which indicates the reduced model simulations are similar to those of the original model. The minimal model retained detailed physiological processes of the brain while not significantly affecting model predictability, which supports the law of parsimony in the context of balancing model complexity with added predictive power. The minimal model has a variety of applications for supporting the preclinical development of antibody therapeutics and can be expanded to include target information for evaluating target engagement to inform clinical dose selection.

Indexed as

Central Nervous System DiseasesModels, BiologicalAntibodiesBrainComputer SimulationHumansAntibodiesAntibodyDrug developmentNeurosciencePBPKPharmacokinetics

Identifiers

PMID34378151
PMCPMC8604880
OpenAlexW3191700541

What OpenQuestion holds

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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.