Literature DB >> 22145784

Regional particle size dependent deposition of inhaled aerosols in rats and mice.

Philip J Kuehl1, Tamara L Anderson, Gabriel Candelaria, Benjamin Gershman, Ky Harlin, Jacob Y Hesterman, Thomas Holmes, John Hoppin, Christian Lackas, Jeffrey P Norenberg, Hongang Yu, Jacob D McDonald.   

Abstract

CONTEXT: The current data analysis tools in nuclear medicine have not been used to evaluate intra organ regional deposition patterns of pharmaceutical aerosols in preclinical species.
OBJECTIVE: This study evaluates aerosol deposition patterns as a function of particle size in rats and mice using novel image analysis techniques. MATERIALS AND
METHOD: Mice and rats were exposed to radiolabeled polydisperse aerosols at 0.5, 1.0, 3.0, and 5.0 µm MMAD followed by SPECT/CT imaging for deposition analysis. Images were quantified for both macro deposition patterns and regional deposition analysis using the LRRI-developed Onion Model.
RESULTS: The deposition fraction in both rats and mice was shown to increase as the particle size decreased, with greater lung deposition in rats at all particle sizes. The Onion Model indicated that the smaller particle sizes resulted in increased peripheral deposition. DISCUSSION: These data contrast the commonly used 10% deposition fraction for all aerosols between 1.0 and 5.0 µm and indicate that lung deposition fraction in this range does change with particle size. When compared to historical data, the 1.0, 3.0, and 5.0 µm particles result in similar lung deposition fractions; however, the 0.5 µm lung deposition fraction is markedly different. This is probably caused by the current aerosols that were polydisperse to reflect current pharmaceutical aerosols, while the historical data were generated with monodisperse aerosols.
CONCLUSION: The deposition patterns of aerosols between 0.5 and 5.0 µm showed an increase in both overall and peripheral deposition as the particle size decreased. The Onion Model allows a more complex analysis of regional deposition in preclinical models.

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Year:  2011        PMID: 22145784     DOI: 10.3109/08958378.2011.632787

Source DB:  PubMed          Journal:  Inhal Toxicol        ISSN: 0895-8378            Impact factor:   2.724


  20 in total

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2.  Blocking Bcl-2 resolves IL-13-mediated mucous cell hyperplasia in a Bik-dependent manner.

Authors:  Hitendra S Chand; Yohannes A Mebratu; Philip J Kuehl; Yohannes Tesfaigzi
Journal:  J Allergy Clin Immunol       Date:  2017-08-04       Impact factor: 10.793

3.  Lower respiratory tract delivery, airway clearance, and preclinical efficacy of inhaled GM-CSF in a postinfluenza pneumococcal pneumonia model.

Authors:  Todd M Umstead; Eranda Kurundu Hewage; Margaret Mathewson; Sarah Beaudoin; Zissis C Chroneos; Ming Wang; E Scott Halstead
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4.  Pulmonary biodistribution and cellular uptake of intranasally administered monodisperse particles.

Authors:  Timothy M Brenza; Latrisha K Petersen; Yanjie Zhang; Lucas M Huntimer; Amanda E Ramer-Tait; Jesse M Hostetter; Michael J Wannemuehler; Balaji Narasimhan
Journal:  Pharm Res       Date:  2014-10-09       Impact factor: 4.200

5.  Computational modeling of nanoscale and microscale particle deposition, retention and dosimetry in the mouse respiratory tract.

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Authors:  Julie A Hutt; Julie A Lovchik; Alexander Dekonenko; Andrew C Hahn; Terry H Wu
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Review 7.  Small Airway Susceptibility to Chemical and Particle Injury.

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Journal:  Respiration       Date:  2021-10-14       Impact factor: 3.966

8.  Regional distribution of aerosol deposition in rat lungs using magnetic resonance imaging.

Authors:  Jessica M Oakes; Miriam Scadeng; Ellen C Breen; G Kim Prisk; Chantal Darquenne
Journal:  Ann Biomed Eng       Date:  2013-01-25       Impact factor: 3.934

9.  Prophylaxis of Mycobacterium tuberculosis H37Rv Infection in a Preclinical Mouse Model via Inhalation of Nebulized Bacteriophage D29.

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Journal:  Antimicrob Agents Chemother       Date:  2019-09-16       Impact factor: 5.191

10.  Aerosolised 5-azacytidine suppresses tumour growth and reprogrammes the epigenome in an orthotopic lung cancer model.

Authors:  M D Reed; C S Tellez; M J Grimes; M A Picchi; M Tessema; Y S Cheng; T H March; P J Kuehl; S A Belinsky
Journal:  Br J Cancer       Date:  2013-09-17       Impact factor: 7.640

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