Evidence map›Paper›PMID 36346513›Full record

ArticleEJNMMI research2022

Drug characteristics derived from kinetic modeling: combined

Mika Naganawa, Jean-Dominique Gallezot, Sjoerd J Finnema, Ralph Paul Maguire, Joël Mercier, Nabeel B Nabulsi, Sophie Kervyn, Shannan Henry, Jean-Marie Nicolas, Yiyun Huang and 5 more

Open access · goldAbstract read
In one paragraph

Article in EJNMMI research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Assessment of cerebral drug occupancy in humans using a single PET-scan: A [European journal of nuclear medicine and molecular imaging · 2024
    Observational
  5. Review
  6. Evaluation of [EJNMMI research · 2024
    Article
  7. Article
  8. Kinetic models for estimating occupancy from single-scan PET displacement studies.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023
    Article
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

15 authors at 2 institutions in 2 countries.

Mika NaganawaYale University School of Medicine, 801 Howard Ave, PO Box 208048, New Haven, CT, USA. mika.naganawa@yale.edu.ORCID http://orcid.org/0000-0002-4408-2621
Jean-Dominique GallezotYale University School of Medicine, 801 Howard Ave, PO Box 208048, New Haven, CT, USA.
Sjoerd J FinnemaYale University School of Medicine, 801 Howard Ave, PO Box 208048, New Haven, CT, USA.
Ralph Paul MaguireUCB Pharma, Braine-l'Alleud, Belgium.
Joël MercierUCB Pharma, Braine-l'Alleud, Belgium.
Nabeel B NabulsiYale University School of Medicine, 801 Howard Ave, PO Box 208048, New Haven, CT, USA.
Sophie KervynUCB Pharma, Braine-l'Alleud, Belgium.
Shannan HenryYale University School of Medicine, 801 Howard Ave, PO Box 208048, New Haven, CT, USA.
Jean-Marie NicolasUCB Pharma, Braine-l'Alleud, Belgium.
Yiyun HuangYale University School of Medicine, 801 Howard Ave, PO Box 208048, New Haven, CT, USA.
Ming-Kai ChenYale University School of Medicine, 801 Howard Ave, PO Box 208048, New Haven, CT, USA.
Jonas HannestadTranquis Therapeutics, Inc, Redwood City, CA, USA.
Henrik KlitgaardUCB Pharma, Braine-l'Alleud, Belgium.
Armel StockisUCB Pharma, Braine-l'Alleud, Belgium.
Richard E CarsonYale University School of Medicine, 801 Howard Ave, PO Box 208048, New Haven, CT, USA.
Yale University · USUCB Pharma (Belgium) · BE

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundAntiepileptic drugs, levetiracetam (LEV) and brivaracetam (BRV), bind to synaptic vesicle glycoprotein 2A (SV2A). In their anti-seizure activity, speed of brain entry may be an important factor. BRV showed faster entry into the human and non-human primate brain, based on more rapid displacement of SV2A tracer

methodDisplacement (LEV or BRV p.i. 60 min post-tracer injection) and post-dose scans were conducted in five healthy subjects. Blood samples were collected for measurement of drug concentration and the tracer arterial input function. Fitting of nonlinear differential equations was applied simultaneously to time-activity curves (TACs) from displacement and post-dose scans to estimate 5 parameters: K

resultsThe proposed model described well the TACs in all subjects; however, estimates of drug K

conclusionsUnder appropriate conditions, this advanced nonlinear model can directly estimate entry rates of drugs into tissue by analysis of PET TACs. Using a conservative statistical cutoff, BRV enters the brain at least sevenfold faster than LEV.

Indexed as

DisplacementKinetic modelingOccupancyPositron emission tomographySV2A

Identifiers

PMID36346513
PMCPMC9643320
OpenAlexW4308592516

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.