Evidence map›Paper›PMID 21953913›Full record

ArticleDrug metabolism and disposition: the biological fate of chemicals2012

A semiphysiologically based pharmacokinetic modeling approach to predict the dose-exposure relationship of an antiparasitic prodrug/active metabolite pair.

Grace Zhixia Yan, Claudia N Generaux, Miyoung Yoon, Rachel B Goldsmith, Richard R Tidwell, James E Hall, Carol A Olson, Harvey J Clewell, Kim L R Brouwer, Mary F Paine

Open access · bronzeAbstract readClinical Trial, Phase IComparative Study
In one paragraph

Article in Drug metabolism and disposition: the biological fate of chemicals, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. 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 1 institution in 1 country.

Grace Zhixia YanDivision of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7569, USA.
Claudia N Generaux
Miyoung Yoon
Rachel B Goldsmith
Richard R Tidwell
James E Hall
Carol A Olson
Harvey J Clewell
Kim L R Brouwer
Mary F Paine
University of North Carolina at Chapel Hill · US

Funding

ALTERED HEPATIC DISPOSITION OF ANIONIC DRUGS-MECHANISMSR01GM041935 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BROUWER, KIM L.R. · 1997 to 2016
$6.5M
SHORT COURSES: INTEGRATIVE AND ORGAN SYSTEMS PHARMACOLOGYR25GM074088 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PERSKY, ADAM MITCHELL · 2005 to 2012
$1.6M
NIGMS NIH HHS R01 GM041935NIGMS NIH HHS R01-GM41935NIGMS NIH HHS R25 GM074088NIGMS NIH HHS R25-GM74088
6 · The paper itself

Abstract

Dose selection during antiparasitic drug development in animal models and humans traditionally has relied on correlations between plasma concentrations obtained at or below maximally tolerated doses that are efficacious. The objective of this study was to improve the understanding of the relationship between dose and plasma/tissue exposure of the model antiparasitic agent, pafuramidine, using a semiphysiologically based pharmacokinetic (semi-PBPK) modeling approach. Preclinical and clinical data generated during the development of pafuramidine, a prodrug of the active metabolite, furamidine, were used. A whole-body semi-PBPK model for rats was developed based on a whole-liver PBPK model using rat isolated perfused liver data. A whole-body semi-PBPK model for humans was developed on the basis of the whole-body rat model. Scaling factors were calculated using metabolic and transport clearance data generated from rat and human sandwich-cultured hepatocytes. Both whole-body models described pafuramidine and furamidine disposition in plasma and predicted furamidine tissue (liver and kidney) exposure and excretion profiles (biliary and renal). The whole-body models predicted that the intestine contributes significantly (30-40%) to presystemic furamidine formation in both rats and humans. The predicted terminal elimination half-life of furamidine in plasma was 3- to 4-fold longer than that of pafuramidine in rats (170 versus 47 h) and humans (64 versus 19 h). The dose-plasma/tissue exposure relationship for the prodrug/active metabolite pair was determined using the whole-body models. The human model proposed a dose regimen of pafuramidine (40 mg once daily) based on a predefined efficacy-safety index. A similar approach could be used to guide dose-ranging studies in humans for next-in-class compounds.

Indexed as

Models, BiologicalAnimalsAntiparasitic AgentsDose-Response Relationship, DrugHumansMaleMiddle AgedPredictive Value of TestsProdrugsRatsRats, Sprague-DawleyRats, WistarTissue DistributionAntiparasitic AgentsProdrugs

Identifiers

PMID21953913
PMCPMC3250045
OpenAlexW2116232204

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.