Literature DB >> 8568013

First-time-in-human dose selection: allometric thoughts and perspectives.

H Boxenbaum1, C DiLea.   

Abstract

Some of the many factors that influence dose selection in first-time-in-human studies are examined. These include animal toxicology, toxicokinetics, allometric scaling, pharmacokinetics, body surface area correlations, and integration of preclinical pharmacologic and toxicologic data. Appropriate preclinical evaluation and analysis may reduce the frequency and severity of unexpected toxic events arising during single-dose, phase I testing. However, significant intrinsic uncertainties in this process presently exist and will continue to exist well into the foreseeable future. With our present state of knowledge, we cannot provide a realistic and reasonable algorithm for ascertaining first-time-in-human doses: any decision tree would be too unwieldy. There are several rules of thumb that do have a place in the evaluation and decision-making process, however.

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Year:  1995        PMID: 8568013     DOI: 10.1002/j.1552-4604.1995.tb04011.x

Source DB:  PubMed          Journal:  J Clin Pharmacol        ISSN: 0091-2700            Impact factor:   3.126


  27 in total

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Review 2.  Prediction of hepatic metabolic clearance based on interspecies allometric scaling techniques and in vitro-in vivo correlations.

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Review 3.  Population clinical pharmacology of children: modelling covariate effects.

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Review 5.  The impact of sex as a biological variable in the search for novel antidepressants.

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Journal:  Front Neuroendocrinol       Date:  2018-05-31       Impact factor: 8.606

Review 6.  The pharmacokinetic principles behind scaling from preclinical results to phase I protocols.

Authors:  I Mahmood; J D Balian
Journal:  Clin Pharmacokinet       Date:  1999-01       Impact factor: 6.447

7.  Mixed effect modeling of sumatriptan pharmacokinetics during drug development. I: Interspecies allometric scaling.

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8.  Allometric pharmacokinetic scaling: towards the prediction of human oral pharmacokinetics.

Authors:  M R Feng; X Lou; R R Brown; A Hutchaleelaha
Journal:  Pharm Res       Date:  2000-04       Impact factor: 4.200

9.  Correlation between in vitro and in vivo activities of GM 237354, a new sordarin derivative, against Candida albicans in an in vitro pharmacokinetic-pharmacodynamic model and influence of protein binding.

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Journal:  Antimicrob Agents Chemother       Date:  2001-10       Impact factor: 5.191

10.  Engineering challenges for instrumenting and controlling integrated organ-on-chip systems.

Authors:  John P Wikswo; Frank E Block; David E Cliffel; Cody R Goodwin; Christina C Marasco; Dmitry A Markov; David L McLean; John A McLean; Jennifer R McKenzie; Ronald S Reiserer; Philip C Samson; David K Schaffer; Kevin T Seale; Stacy D Sherrod
Journal:  IEEE Trans Biomed Eng       Date:  2013-02-01       Impact factor: 4.538

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