Literature DB >> 24870701

Pediatric in vitro and in silico models of deposition via oral and nasal inhalation.

Nicholas B Carrigy1, Conor A Ruzycki, Laleh Golshahi, Warren H Finlay.   

Abstract

Respiratory tract deposition models provide a useful method for optimizing the design and administration of inhaled pharmaceutical aerosols, and can be useful for estimating exposure risks to inhaled particulate matter. As aerosol must first pass through the extrathoracic region prior to reaching the lungs, deposition in this region plays an important role in both cases. Compared to adults, much less extrathoracic deposition data are available with pediatric subjects. Recently, progress in magnetic resonance imaging and computed tomography scans to develop pediatric extrathoracic airway replicas has facilitated addressing this issue. Indeed, the use of realistic replicas for benchtop inhaler testing is now relatively common during the development and in vitro evaluation of pediatric respiratory drug delivery devices. Recently, in vitro empirical modeling studies using a moderate number of these realistic replicas have related airway geometry, particle size, fluid properties, and flow rate to extrathoracic deposition. Idealized geometries provide a standardized platform for inhaler testing and exposure risk assessment and have been designed to mimic average in vitro deposition in infants and children by replicating representative average geometrical dimensions. In silico mathematical models have used morphometric data and aerosol physics to illustrate the relative importance of different deposition mechanisms on respiratory tract deposition. Computational fluid dynamics simulations allow for the quantification of local deposition patterns and an in-depth examination of aerosol behavior in the respiratory tract. Recent studies have used both in vitro and in silico deposition measurements in realistic pediatric airway geometries to some success. This article reviews the current understanding of pediatric in vitro and in silico deposition modeling via oral and nasal inhalation.

Entities:  

Keywords:  benchtop models; child; computational fluid dynamics; empirical correlations; exposure risk assessment; infant; inhalation toxicology; inhaled pharmaceutical aerosol; mathematical models

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Year:  2014        PMID: 24870701     DOI: 10.1089/jamp.2013.1075

Source DB:  PubMed          Journal:  J Aerosol Med Pulm Drug Deliv        ISSN: 1941-2711            Impact factor:   2.849


  9 in total

1.  Development of an infant complete-airway in vitro model for evaluating aerosol deposition.

Authors:  Karl Bass; P Worth Longest
Journal:  Med Eng Phys       Date:  2018-06-22       Impact factor: 2.242

2.  Demographics, Substance Use Behaviors, and Clinical Characteristics of Adolescents With e-Cigarette, or Vaping, Product Use-Associated Lung Injury (EVALI) in the United States in 2019.

Authors:  Susan H Adkins; Kayla N Anderson; Alyson B Goodman; Evelyn Twentyman; Melissa L Danielson; Anne Kimball; Eleanor S Click; Jean Y Ko; Mary E Evans; David N Weissman; Paul Melstrom; Emily Kiernan; Vikram Krishnasamy; Dale A Rose; Christopher M Jones; Brian A King; Sacha R Ellington; Lori A Pollack; Jennifer L Wiltz
Journal:  JAMA Pediatr       Date:  2020-07-06       Impact factor: 16.193

Review 3.  Use of computational fluid dynamics deposition modeling in respiratory drug delivery.

Authors:  P Worth Longest; Karl Bass; Rabijit Dutta; Vijaya Rani; Morgan L Thomas; Ahmad El-Achwah; Michael Hindle
Journal:  Expert Opin Drug Deliv       Date:  2018-12-10       Impact factor: 6.648

4.  Variability in Nose-to-Lung Aerosol Delivery.

Authors:  Ross L Walenga; Geng Tian; Michael Hindle; Joshua Yelverton; Kelley Dodson; P Worth Longest
Journal:  J Aerosol Sci       Date:  2014-12-01       Impact factor: 3.433

5.  Particle transport and deposition correlation with near-wall flow characteristic under inspiratory airflow in lung airways.

Authors:  Ali Farghadan; Kamran Poorbahrami; Sahar Jalal; Jessica M Oakes; Filippo Coletti; Amirhossein Arzani
Journal:  Comput Biol Med       Date:  2020-03-14       Impact factor: 4.589

Review 6.  Bridging the Gap Between Science and Clinical Efficacy: Physiology, Imaging, and Modeling of Aerosols in the Lung.

Authors:  Chantal Darquenne; John S Fleming; Ira Katz; Andrew R Martin; Jeffry Schroeter; Omar S Usmani; Jose Venegas; Otmar Schmid
Journal:  J Aerosol Med Pulm Drug Deliv       Date:  2016-02-01       Impact factor: 2.849

7.  High-Efficiency Dry Powder Aerosol Delivery to Children: Review and Application of New Technologies.

Authors:  Karl Bass; Dale Farkas; Amr Hassan; Serena Bonasera; Michael Hindle; P Worth Longest
Journal:  J Aerosol Sci       Date:  2020-10-14       Impact factor: 3.433

Review 8.  Aerosol drug delivery to spontaneously-breathing preterm neonates: lessons learned.

Authors:  Federico Bianco; Fabrizio Salomone; Ilaria Milesi; Xabier Murgia; Sauro Bonelli; Elena Pasini; Raffaele Dellacà; Maria Luisa Ventura; Jane Pillow
Journal:  Respir Res       Date:  2021-02-26

9.  In situ-Like Aerosol Inhalation Exposure for Cytotoxicity Assessment Using Airway-on-Chips Platforms.

Authors:  Shani Elias-Kirma; Arbel Artzy-Schnirman; Prashant Das; Metar Heller-Algazi; Netanel Korin; Josué Sznitman
Journal:  Front Bioeng Biotechnol       Date:  2020-02-20
  9 in total

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