A COMPREHENSIVE QUANTITATIVE AND QUALITATIVE EVALUATION OF EXTRAPOLATION OF INTRAVENOUS PHARMACOKINETIC PARAMETERS FROM RAT, DOG, AND MONKEY TO HUMANS. II. VOLUME OF DISTRIBUTION AND MEAN RESIDENCE TIME
Our laboratory is engaged in an ongoing analysis of a 103-compound data set containing reliable intravenous pharmacokinetic parameters in the rat, dog, monkey, and human, and we have previously reported our findings regarding extrapolation of clearance. In this article, we report on our findings reg...
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Published in | Drug metabolism and disposition Vol. 32; no. 6; pp. 612 - 619 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Bethesda, MD
American Society for Pharmacology and Experimental Therapeutics
01.06.2004
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Abstract | Our laboratory is engaged in an ongoing analysis of a 103-compound data set containing reliable intravenous pharmacokinetic
parameters in the rat, dog, monkey, and human, and we have previously reported our findings regarding extrapolation of clearance.
In this article, we report on our findings regarding volume of distribution and mean residence time. Various allometric and
nonallometric methods were used to predict human volume of distribution based on preclinical pharmacokinetic data; clearance
and volume of distribution values generated by various means were then used to estimate mean residence time. From both a quantitative
and qualitative perspective, estimating human volume and mean residence time based on monkey data alone was the most accurate
approach evaluated. For volume, estimation based on monkey data alone was quantitatively the least biased of all approaches
evaluated. Additionally, prediction of mean residence time based on clearance and volume from the monkey was the only extrapolation
method that exhibited a positive, rather than negative, bias. None of the allometric scaling approaches investigated afforded
optimal predictivity for either volume or mean residence time, and neither the correlation coefficient nor the allometric
exponent allowed a prospective estimation of predictive success or failure. These observations regarding volume and mean residence
time confirm our earlier results with clearance, and further confirm the value of the monkey as a species for pharmacokinetic
lead optimization. |
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AbstractList | Our laboratory is engaged in an ongoing analysis of a 103-compound data set containing reliable intravenous pharmacokinetic parameters in the rat, dog, monkey, and human, and we have previously reported our findings regarding extrapolation of clearance. In this article, we report on our findings regarding volume of distribution and mean residence time. Various allometric and nonallometric methods were used to predict human volume of distribution based on preclinical pharmacokinetic data; clearance and volume of distribution values generated by various means were then used to estimate mean residence time. From both a quantitative and qualitative perspective, estimating human volume and mean residence time based on monkey data alone was the most accurate approach evaluated. For volume, estimation based on monkey data alone was quantitatively the least biased of all approaches evaluated. Additionally, prediction of mean residence time based on clearance and volume from the monkey was the only extrapolation method that exhibited a positive, rather than negative, bias. None of the allometric scaling approaches investigated afforded optimal predictivity for either volume or mean residence time, and neither the correlation coefficient nor the allometric exponent allowed a prospective estimation of predictive success or failure. These observations regarding volume and mean residence time confirm our earlier results with clearance, and further confirm the value of the monkey as a species for pharmacokinetic lead optimization. Our laboratory is engaged in an ongoing analysis of a 103-compound data set containing reliable intravenous pharmacokinetic parameters in the rat, dog, monkey, and human, and we have previously reported our findings regarding extrapolation of clearance. In this article, we report on our findings regarding volume of distribution and mean residence time. Various allometric and nonallometric methods were used to predict human volume of distribution based on preclinical pharmacokinetic data; clearance and volume of distribution values generated by various means were then used to estimate mean residence time. From both a quantitative and qualitative perspective, estimating human volume and mean residence time based on monkey data alone was the most accurate approach evaluated. For volume, estimation based on monkey data alone was quantitatively the least biased of all approaches evaluated. Additionally, prediction of mean residence time based on clearance and volume from the monkey was the only extrapolation method that exhibited a positive, rather than negative, bias. None of the allometric scaling approaches investigated afforded optimal predictivity for either volume or mean residence time, and neither the correlation coefficient nor the allometric exponent allowed a prospective estimation of predictive success or failure. These observations regarding volume and mean residence time confirm our earlier results with clearance, and further confirm the value of the monkey as a species for pharmacokinetic lead optimization. |
Author | Keith W. Ward Brian R. Smith |
Author_xml | – sequence: 1 givenname: Keith W surname: WARD fullname: WARD, Keith W organization: Preclinical Drug Discovery, Cardiovascular & Urogenital Centre of Excellence in Drug Discovery, GlaxoSmithKline, King of Prussia, Pennsylvania, United States – sequence: 2 givenname: Brian R surname: SMITH fullname: SMITH, Brian R organization: Preclinical Drug Discovery, Cardiovascular & Urogenital Centre of Excellence in Drug Discovery, GlaxoSmithKline, King of Prussia, Pennsylvania, United States |
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Cites_doi | 10.1021/js9902163 10.1021/jm0200409 10.1016/0024-3205(96)00339-6 10.1124/dmd.32.6.603 10.1201/b14095 10.1007/BF01062336 10.3109/00498259009046839 |
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SubjectTerms | Animals Biological and medical sciences Biometry Blood Volume Dogs Drug Evaluation, Preclinical General pharmacology Humans Injections, Intravenous Macaca fascicularis Macaca mulatta Medical sciences Pharmacokinetics Pharmacokinetics. Pharmacogenetics. Drug-receptor interactions Pharmacology. Drug treatments Rats Species Specificity Xenobiotics - pharmacokinetics |
Title | A COMPREHENSIVE QUANTITATIVE AND QUALITATIVE EVALUATION OF EXTRAPOLATION OF INTRAVENOUS PHARMACOKINETIC PARAMETERS FROM RAT, DOG, AND MONKEY TO HUMANS. II. VOLUME OF DISTRIBUTION AND MEAN RESIDENCE TIME |
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