Evidence map›Paper›PMID 22186667›Full record

Trial reportJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2012

Predicting brain occupancy from plasma levels using PET: superiority of combining pharmacokinetics with pharmacodynamics while modeling the relationship.

Euitae Kim, Oliver D Howes, Bo-Hyung Kim, Jae Min Jeong, Jae Sung Lee, In-Jin Jang, Sang-Goo Shin, Federico E Turkheimer, Shitij Kapur, Jun Soo Kwon

Open access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.6field-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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Prediction of a clinically effective dose of THY1773, a novel VBiopharmaceutics & drug disposition · 2021
    Trial
  3. Trial
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  5. Article
  6. Review
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  8. Review
  9. Article
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  12. Review
  13. Understanding the hysteresis loop conundrum in pharmacokinetic/pharmacodynamic relationships.Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques · 2014
    Article
  14. Article
  15. Review
  16. Translational PK-PD modeling in pain.Journal of pharmacokinetics and pharmacodynamics · 2013
    Review
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 5 institutions in 2 countries.

Euitae KimDepartment of Psychiatry, Seoul National University College of Medicine, Seoul, Korea.
Oliver D Howes
Bo-Hyung Kim
Jae Min Jeong
Jae Sung Lee
In-Jin Jang
Sang-Goo Shin
Federico E Turkheimer
Shitij Kapur
Jun Soo Kwon
Seoul National University · KRHammersmith Hospital · GBImperial College London · GBKing's College London · GBMedical Research Council · GB

Funding

Medical Research Council G0700995Medical Research Council G0701748Medical Research Council MC_U120085814Medical Research Council MC_U120097115Medical Research Council U.1200.04.007.00001.01
6 · The paper itself

Abstract

Positron emission tomography (PET) studies of dopamine receptor occupancy can be used to assess dosing of antipsychotics. Typically, studies of antipsychotics have applied pharmacodynamic (PD) modeling alone to characterize the relationship between antipsychotic dose and its effect on the brain. However, a limitation of this approach is that it does not account for the discrepancy between the time courses of plasma concentration and receptor occupancy by antipsychotics. Combined pharmacokinetic-PD (PK-PD) modeling, by incorporating the time dependence of occupancy, is better suited for the reliable analysis of the concentration-occupancy relationship. To determine the effect of time on the concentration-occupancy relationship as a function of analysis approach, we measured dopamine receptor occupancy after the administration of aripiprazole using [(11)C]raclopride PET and obtained serial measurements of the plasma aripiprazole concentration in 18 volunteers. We then developed a PK-PD model for the relationship, and compared it with conventional approach (PD modeling alone). The hysteresis characteristics were observed in the competitor concentration-occupancy relationship and the value of EC(50) was different according to the analysis approach (EC(50) derived from PD modeling alone=11.1 ng/mL (95% confidence interval (CI)=10.1 to 12.1); while that derived from combined PK-PD modeling=8.63 ng/mL (95% CI=7.75 to 9.51)). This finding suggests that PK-PD modeling is required to obtain reliable prediction of brain occupancy by antipsychotics.

Indexed as

Models, TheoreticalPositron-Emission TomographyAdultAntipsychotic AgentsAripiprazoleBrainHumansMalePiperazinesQuinolonesRadiographyReceptors, DopamineTime FactorsAntipsychotic AgentsAripiprazolePiperazinesQuinolonesReceptors, Dopamine

Identifiers

PMID22186667
PMCPMC3318151
OpenAlexW2083618483

What OpenQuestion holds

Textmetadata
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.