Literature DB >> 8308694

Mathematical model for the selective deposition of inhaled pharmaceuticals.

T B Martonen1.   

Abstract

To accurately assess the potential therapeutic effects of airborne drugs, the deposition sites of inhaled particles must be known. Herein, an original theory is presented for physiologically based pharmacokinetic modeling and related prophylaxis of airway diseases. The mathematical model describes the behavior and fate of particles in the lungs of adult human subjects under various breathing conditions. Their deposition patterns are calculated via superposition of the separate but not independent processes of inertial impaction, sedimentation, and diffusion. The related computer code is designed to calculate total and compartmental (tracheobronchial and pulmonary) distributions of inhaled aerosols. In this manuscript, the model is first tested via comparisons of predicted deposition patterns with laboratory data from human inhalation exposure experiments and then it is applied to determine which factors most influence the dosimetry of inhaled particles. In this format, deposition patterns are explicitly related to particle characteristics, ventilatory parameters, and intersubject variabilities of lung morphologies. The dosimetric model was developed to improve the efficacy of aerosol therapy via the selective deposition of inhaled pharmaceuticals at prescribed lung locations to elicit optimum effects.

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Year:  1993        PMID: 8308694     DOI: 10.1002/jps.2600821202

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  13 in total

Review 1.  Whole body pharmacokinetic models.

Authors:  Ivan Nestorov
Journal:  Clin Pharmacokinet       Date:  2003       Impact factor: 6.447

Review 2.  Pulmonary drug delivery. Part I: physiological factors affecting therapeutic effectiveness of aerosolized medications.

Authors:  N R Labiris; M B Dolovich
Journal:  Br J Clin Pharmacol       Date:  2003-12       Impact factor: 4.335

3.  Bronchopulmonary pharmacokinetics of (R)-salbutamol and (S)-salbutamol enantiomers in pulmonary epithelial lining fluid and lung tissue of horses.

Authors:  Glenn A Jacobson; Sharanne Raidal; Kate Robson; Christian K Narkowicz; David S Nichols; E Haydn Walters
Journal:  Br J Clin Pharmacol       Date:  2017-02-08       Impact factor: 4.335

Review 4.  Mechanisms of pharmaceutical aerosol deposition in the respiratory tract.

Authors:  Yung Sung Cheng
Journal:  AAPS PharmSciTech       Date:  2014-02-22       Impact factor: 3.246

5.  Validating Whole-Airway CFD Predictions of DPI Aerosol Deposition at Multiple Flow Rates.

Authors:  P Worth Longest; Geng Tian; Navvab Khajeh-Hosseini-Dalasm; Michael Hindle
Journal:  J Aerosol Med Pulm Drug Deliv       Date:  2016-04-15       Impact factor: 2.849

6.  Effect of carrier gas properties on aerosol distribution in a CT-based human airway numerical model.

Authors:  Shinjiro Miyawaki; Merryn H Tawhai; Eric A Hoffman; Ching-Long Lin
Journal:  Ann Biomed Eng       Date:  2012-01-14       Impact factor: 3.934

Review 7.  In silico models of aerosol delivery to the respiratory tract - development and applications.

Authors:  P Worth Longest; Landon T Holbrook
Journal:  Adv Drug Deliv Rev       Date:  2011-05-27       Impact factor: 15.470

8.  Production of Inhalable Submicrometer Aerosols from Conventional Mesh Nebulizers for Improved Respiratory Drug Delivery.

Authors:  P Worth Longest; Benjamin M Spence; Landon T Holbrook; Karla M Mossi; Yoen-Ju Son; Michael Hindle
Journal:  J Aerosol Sci       Date:  2012-04-14       Impact factor: 3.433

9.  Early airway structural changes in cystic fibrosis pigs as a determinant of particle distribution and deposition.

Authors:  Maged Awadalla; Shinjiro Miyawaki; Mahmoud H Abou Alaiwa; Ryan J Adam; Drake C Bouzek; Andrew S Michalski; Matthew K Fuld; Karen J Reynolds; Eric A Hoffman; Ching-Long Lin; David A Stoltz
Journal:  Ann Biomed Eng       Date:  2013-12-06       Impact factor: 3.934

10.  Improving pharmaceutical aerosol delivery during noninvasive ventilation: effects of streamlined components.

Authors:  P Worth Longest; Laleh Golshahi; Michael Hindle
Journal:  Ann Biomed Eng       Date:  2013-02-20       Impact factor: 3.934

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