Evidence map›Paper›PMID 30377889›Full record

ArticleJournal of pharmacokinetics and pharmacodynamics2018

A pre-clinical quantitative model predicts the pharmacokinetics/pharmacodynamics of an anti-BDCA2 monoclonal antibody in humans.

Konstantinos Biliouris, Ivan Nestorov, Himanshu Naik, David Dai, Guangqing Xiao, Qin Wang, Alex Pellerin, Dania Rabah, Lawrence J Lesko, Mirjam N Trame

Abstract read
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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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Konstantinos BiliourisDepartment of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, FL, USA.
Ivan NestorovBiogen Inc., 225 Binny Street, Cambridge, MA, 02142, USA.
Himanshu NaikBiogen Inc., 225 Binny Street, Cambridge, MA, 02142, USA. himanshu.naik@biogen.com.
David DaiBiogen Inc., 225 Binny Street, Cambridge, MA, 02142, USA.
Guangqing XiaoBiogen Inc., 225 Binny Street, Cambridge, MA, 02142, USA.
Qin WangBiogen Inc., 225 Binny Street, Cambridge, MA, 02142, USA.
Alex PellerinBiogen Inc., 225 Binny Street, Cambridge, MA, 02142, USA.
Dania RabahBiogen Inc., 225 Binny Street, Cambridge, MA, 02142, USA.
Lawrence J LeskoDepartment of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, FL, USA.
Mirjam N TrameDepartment of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, FL, USA.
Biogen (United States) · USUniversity of Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BIIB059 is a novel humanized monoclonal antibody (mAb) that is currently under development for the treatment of Systemic Lupus Erythematosus and Cutaneous Lupus Erythematosus. BIIB059 is targeted against the blood dendritic cell antigen 2 (BDCA2), a receptor exclusively expressed on the surface of plasmacytoid dendritic cells (pDCs). Herein, we utilized pre-clinical pharmacokinetic (PK) and pharmacodynamic (PD) data to develop a non-human primate (NHP) model and to address whether the NHP model can be successfully scaled to predict the human PK/PD. In particular, PK data from 17 cynomolgus monkeys were utilized for PK model development, wherein BIIB059 was administered intravenously (1 and 10 mg/kg single-dosing and 5 mg/kg multiple-dosing) or subcutaneously (0.2 and 7.5 mg/kg single-dosing). Additionally, PD data (BDCA2 receptor density on pDCs) from 6 cynomolgus monkeys were used for the development of the PD model. The developed NHP two-compartment PK model, linked with an indirect response PD model, was subsequently scaled to humans by combining traditional allometric PK scaling with sensitivity-analysis-driven scaling of the PD. The scaled PK/PD model was then used to simulate the human PK/PD for different dose levels. When clinical data from the BIIB059 Phase I study became available, they were used to evaluate the predictability of the scaled PK/PD model and the model simulations were in agreement with the clinical data. Therefore, the presented approach is suggested to be employed in scaling pre-clinical mAb models to support the selection of safe first-in-human doses and, more broadly, the prediction of PK/PD in the clinic.

Indexed as

Models, BiologicalAnimalsAntibodies, Monoclonal, HumanizedBody WeightComputer SimulationDrug Evaluation, PreclinicalHumansImmunoglobulin GLectins, C-TypeLupus Erythematosus, CutaneousLupus Erythematosus, SystemicMacaca fascicularisMembrane GlycoproteinsReceptors, ImmunologicAntibodies, Monoclonal, HumanizedCLEC4C protein, humanImmunoglobulin GLectins, C-TypeMembrane GlycoproteinsReceptors, ImmunologicAllometric scalingCutaneous Lupus ErythematosusFirst-in-human doseMonoclonal antibodyPK/PD modelingSensitivity analysisSystemic Lupus Erythematosus

Identifiers

PMID30377889
OpenAlexW2899447279

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Registered trials

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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.