Evidence map›Paper›PMID 25445845›Full record

ArticleThe AAPS journal2015

Quantitative prediction of human pharmacokinetics for mAbs exhibiting target-mediated disposition.

Aman P Singh, Wojciech Krzyzanski, Steven W Martin, Gregory Weber, Alison Betts, Alaa Ahmad, Anson Abraham, Anup Zutshi, John Lin, Pratap Singh

Abstract read
In one paragraph

Article in The AAPS journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
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

29 citing papers in PubMed.

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  15. Design and Conduct Considerations for First-in-Human Trials.Clinical and translational science · 2019
    Article
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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.

Aman P SinghDepartment of Pharmaceutical Sciences, University at Buffalo, Kapoor Hall, Buffalo, New York, USA.
Wojciech Krzyzanski
Steven W Martin
Gregory Weber
Alison Betts
Alaa Ahmad
Anson Abraham
Anup Zutshi
John Lin
Pratap Singh

Funding

MATHEMATICAL MODELS IN PHARMACODYNAMICSR01GM057980 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI JUSKO, WILLIAM J., KRZYZANSKI, WOJCIECH · 1998 to 2013
$3.4M
NIGMS NIH HHS GM 57980NIGMS NIH HHS R01 GM057980
6 · The paper itself

Abstract

Prediction of human pharmacokinetics (PK) can be challenging for monoclonal antibodies (mAbs) exhibiting target-mediated drug disposition (TMDD). In this study, we performed a quantitative analysis of a diverse set of six mAbs exhibiting TMDD to explore translational rules that can be utilized to predict human PK. A TMDD model with rapid-binding approximation was utilized to fit PK and PD (i.e., free and/or total target levels) data, and average absolute fold error (AAFE) was calculated for each model parameter. Based on the comparative analysis, translational rules were developed and applied to a test antibody not included in the original analysis. AAFE of less than two-fold was observed between monkey and human for baseline target levels (R 0), body-weight (BW) normalized central elimination rate (K el/BW(-0.25)) and central volume (V c/BW(1.0)). AAFE of less than three-fold was estimated for the binding affinity constant (K D). The other four parameters, i.e., complex turnover rate (K int), target turnover rate (K deg), central to peripheral distribution rate constant (K pt) and peripheral to central rate constant (K tp) were poorly correlated between monkey and human. The projected human PK of test antibody based on the translation rules was in good agreement with the observed nonlinear PK. In conclusion, we recommend a TMDD model-based prediction approach that integrates in vitro human biomeasures and in vivo preclinical data using translation rules developed in this study.

Indexed as

Models, BiologicalAnimalsAntibodies, MonoclonalDrug Evaluation, PreclinicalHumansMacaca fascicularisNonlinear DynamicsSpecies SpecificityTranslational Research, BiomedicalAntibodies, Monoclonal

Identifiers

PMID25445845
PMCPMC4365083

What OpenQuestion holds

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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.