Evidence map›Paper›PMID 24078286›Full record

Trial reportPharmaceutical research2014

Prediction of H3 receptor occupancy diurnal fluctuations using population modeling and simulation with focus on guiding dose selection in a Phase IIa study.

Emma Boström, Yi-Fang Cheng, Niclas Brynne, Märta Segerdahl

Abstract readClinical Trial, Phase II
PubMed Publisher
In one paragraph

Trial report in Pharmaceutical research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Emma Boström
Yi-Fang Cheng
Niclas Brynne
Märta Segerdahl

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose4-[(1S,2S)-2-(4-cyclobutylpiperazine-1-carbonyl)cyclopropyl]benzamide (“AZ1”) is a histamine 3 (H3) autoreceptor in vivo antagonist. Sleep disturbance is a well-known class-effect for H3 antagonists and associated with high H3 receptor occupancy (RO) at night. The objective of the present work was to investigate if it was possible to obtain large diurnal fluctuations in RO for AZ1 and to suggest suitable doses for a Phase IIa study.

methodsFour Phase I studies were pooled and used to build a population pharmacokinetic model in NONMEM. Based on simulations of the PK model and the reported Ki-value for H3 RO from a human PET-study, RO vs. time profiles were simulated.

resultsThe model well described the AZ1 pharmacokinetics. Simulations predicting plasma concentration and RO vs. time profiles for several doses were explored and doses with a wide range of fluctuation in RO over the dosing interval could be identified.

conclusionsBy using population modeling and simulations of PK data and the Ki-value from a human PET study, predictions of RO vs. time for unstudied doses of AZ1 was made. Using this methodology it was possible to suggest doses with expected large diurnal fluctuations in RO.

Indexed as

AdolescentAdultBenzamidesDose-Response Relationship, DrugHistamine AntagonistsHumansMaleMiddle AgedModels, BiologicalReceptors, Histamine H3Young AdultbenzamideBenzamidesHistamine AntagonistsReceptors, Histamine H3

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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.