Literature DB >> 8786978

Regional drug delivery II: relationship between drug targeting index and pharmacokinetic parameters for three non-steroidal anti-inflammatory drugs using the rat air pouch model of inflammation.

A J Stevens1, S W Martin, B S Brennan, A McLachlan, L A Gifford, M Rowland, J B Houston.   

Abstract

PURPOSE: To quantify the advantage gained by direct administration to a target site for two non-steroidal anti-inflammatory drugs (NSAIDs) piroxicam and diclofenac in the rat air pouch model of inflammation. To derive a model relating drug targeting index (DTI) to the pharmacokinetic parameters of the target and systemic sites, and to compare predictions with observations.
METHODS: DTI was calculated based on area under the concentration time curve at target (pouch) and systemic site (venous blood) following administration into and sampling from both sites. A model was derived relating DTI to systemic clearance, target permeability, plasma protein binding and fraction of the targeted dose that is systemically available.
RESULTS: Both NSAIDs exhibited linear pharmacokinetics over the dose ranges studies. They differed primarily in total body clearance which was approximately 16 fold greater for diclofenac (213 ml hr-1 per 250 g) than piroxicam (13 ml hr-1 per 250 g). Observed DTIs (11, 114 and 276 for piroxicam, S[+]ibuprofen [studied previously] and diclofenac) were ranked in order of total body clearance but were approximately 7.5 fold lower than predicted (101, 700 and 2214 respectively).
CONCLUSIONS: The discrepancy was explained by the influx of the plasma binding protein, albumin, into the target site due to increased vascular permeability associated with the inflammatory response. The originally derived equation for DTI, which assumed only unbound drug diffuses across the target site, was modified to take into account the simultaneous flux of bound drug.

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Year:  1995        PMID: 8786978     DOI: 10.1023/a:1016212510900

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.200


  13 in total

1.  Engineering targeted in vivo drug delivery. I. The physiological and physicochemical principles governing opportunities and limitations.

Authors:  C A Hunt; R D Macgregor; R A Siegel
Journal:  Pharm Res       Date:  1986-12       Impact factor: 4.200

2.  Regional drug delivery I: permeability characteristics of the rat 6-day-old air pouch model of inflammation.

Authors:  S W Martin; A J Stevens; B S Brennan; M L Reis; L A Gifford; M Rowland; J B Houston
Journal:  Pharm Res       Date:  1995-12       Impact factor: 4.200

3.  High-performance liquid chromatographic assay for piroxicam in human plasma.

Authors:  F D Boudinot; S S Ibrahim
Journal:  J Chromatogr       Date:  1988-09-09

4.  A critical evaluation of the principles governing the advantages of intra-arterial infusions.

Authors:  W W Eckman; C S Patlak; J D Fenstermacher
Journal:  J Pharmacokinet Biopharm       Date:  1974-06

5.  Effects of age and dose on the pharmacokinetics of ibuprofen in the rat.

Authors:  J H Satterwhite; F D Boudinot
Journal:  Drug Metab Dispos       Date:  1991 Jan-Feb       Impact factor: 3.922

6.  High-performance liquid chromatographic determination of diclofenac and its monohydroxylated metabolites in biological fluids.

Authors:  J Godbillon; S Gauron; J P Metayer
Journal:  J Chromatogr       Date:  1985-02-27

7.  Experimental determination of a drug targeting index for S(+)ibuprofen using the rat air pouch model of inflammation.

Authors:  A J Stevens; S W Martin; B S Brennan; M Rowland; J B Houston
Journal:  J Drug Target       Date:  1994       Impact factor: 5.121

8.  The six-day-old rat air pouch model of inflammation: characterization of the inflammatory response to carrageenan.

Authors:  S W Martin; A J Stevens; B S Brennan; D Davies; M Rowland; J B Houston
Journal:  J Pharmacol Toxicol Methods       Date:  1994-11       Impact factor: 1.950

9.  Effects of dose and sex on the pharmacokinetics of piroxicam in the rat.

Authors:  L K Roskos; F D Boudinot
Journal:  Biopharm Drug Dispos       Date:  1990-04       Impact factor: 1.627

10.  Pharmacokinetics and bioavailability of diclofenac in the rat.

Authors:  J E Peris-Ribera; F Torres-Molina; M C Garcia-Carbonell; J C Aristorena; J M Pla-Delfina
Journal:  J Pharmacokinet Biopharm       Date:  1991-12
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  8 in total

Review 1.  Pharmacokinetics of nonsteroidal anti-inflammatory drugs in synovial fluid.

Authors:  R O Day; A J McLachlan; G G Graham; K M Williams
Journal:  Clin Pharmacokinet       Date:  1999-03       Impact factor: 6.447

2.  Comparison of the use of liver models for predicting drug clearance using in vitro kinetic data from hepatic microsomes and isolated hepatocytes.

Authors:  Kiyomi Ito; J Brian Houston
Journal:  Pharm Res       Date:  2004-05       Impact factor: 4.200

3.  Regional drug delivery I: permeability characteristics of the rat 6-day-old air pouch model of inflammation.

Authors:  S W Martin; A J Stevens; B S Brennan; M L Reis; L A Gifford; M Rowland; J B Houston
Journal:  Pharm Res       Date:  1995-12       Impact factor: 4.200

4.  Substantial Targeting Advantage Achieved by Pulmonary Administration of Colistin Methanesulfonate in a Large-Animal Model.

Authors:  Cornelia B Landersdorfer; Tri-Hung Nguyen; Linh Thuy Lieu; Gary Nguyen; Robert J Bischof; Els N Meeusen; Jian Li; Roger L Nation; Michelle P McIntosh
Journal:  Antimicrob Agents Chemother       Date:  2016-12-27       Impact factor: 5.191

5.  Pulmonary and systemic pharmacokinetics of inhaled and intravenous colistin methanesulfonate in cystic fibrosis patients: targeting advantage of inhalational administration.

Authors:  Shalini Yapa; Jian Li; Kashyap Patel; John W Wilson; Michael J Dooley; Johnson George; Denise Clark; Susan Poole; Elyssa Williams; Christopher J H Porter; Roger L Nation; Michelle P McIntosh
Journal:  Antimicrob Agents Chemother       Date:  2014-02-18       Impact factor: 5.191

6.  Prediction of human drug clearance from in vitro and preclinical data using physiologically based and empirical approaches.

Authors:  Kiyomi Ito; J Brian Houston
Journal:  Pharm Res       Date:  2005-01       Impact factor: 4.200

7.  Bayesian approach to estimate AUC, partition coefficient and drug targeting index for studies with serial sacrifice design.

Authors:  Tianli Wang; Kyle Baron; Wei Zhong; Richard Brundage; William Elmquist
Journal:  Pharm Res       Date:  2013-10-03       Impact factor: 4.200

Review 8.  Drug structure-transport relationships.

Authors:  Michael S Roberts
Journal:  J Pharmacokinet Pharmacodyn       Date:  2010-11-24       Impact factor: 2.745

  8 in total

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