Evidence map›Paper›PMID 36120380›Full record

ArticleFrontiers in pharmacology2022

PBPK-PD modeling for the preclinical development and clinical translation of tau antibodies for Alzheimer's disease.

Peter Bloomingdale, Daniela Bumbaca-Yadav, Jonathan Sugam, Steve Grauer, Brad Smith, Svetlana Antonenko, Michael Judo, Glareh Azadi, Ka Lai Yee

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 21 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

9 authors at 3 institutions in 1 country.

Peter BloomingdaleQuantitative Pharmacology and Pharmacometrics, Merck & Co., Inc., Boston, MA, United States.
Daniela Bumbaca-YadavADME, Merck & Co., Inc., South San Francisco, CA, United States.
Jonathan SugamDiscovery Neuroscience, Merck & Co., Inc., West Point, PA, United States.
Steve GrauerDiscovery Neuroscience, Merck & Co., Inc., West Point, PA, United States.
Brad SmithSafety Assessment-Laboratory Animal Resources, Merck & Co., Inc., West Point, PA, United States.
Svetlana AntonenkoLaboratory Animal Resources, Merck & Co., Inc., South San Francisco, CA, United States.
Michael JudoADME, Merck & Co., Inc., South San Francisco, CA, United States.
Glareh AzadiADME, Merck & Co., Inc., South San Francisco, CA, United States.
Ka Lai YeeQuantitative Pharmacology and Pharmacometrics, Merck & Co., Inc., Boston, MA, United States.
Merck & Co., Inc., Rahway, NJ, USA (United States) · USUnited States Military Academy · USQuantitative BioSciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disrupted tau proteostasis and transneuronal spread is a pathological hallmark of Alzheimer's disease. Neurodegenerative diseases remain an unmet medical need and novel disease modifying therapeutics are paramount. Our objective was to develop a mechanistic mathematical model to enhance our understanding of tau antibody pharmacokinetics and pharmacodynamics in animals and humans. A physiologically-based pharmacokinetic-pharmacodynamic (PBPK-PD) modeling approach was employed to support the preclinical development and clinical translation of therapeutic antibodies targeting tau for the treatment of Alzheimer's disease. The pharmacokinetics of a tau antibody was evaluated in rat and non-human primate microdialysis studies. Model validation for humans was performed using publicly available clinical data for gosuranemab. In-silico analyses were performed to predict tau engagement in human brain for a range of tau antibody affinities and various dosing regimens. PBPK-PD modeling enabled a quantitative understanding for the relationship between dose, affinity, and target engagement, which supported lead candidate optimization and predictions of clinically efficacious dosing regimens.

Indexed as

Alzheimer’s diseaseantibodyPBPKQSPtau

Identifiers

PMID36120380
PMCPMC9478891
OpenAlexW4294226022

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.