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Hatazoe S, Hira D, Kondo T, Ueshima S, Okano T, Hamada S, Sato S, Terada T, Kakumoto M. Real-Time Particle Emission Monitoring for the Non-Invasive Prediction of Lung Deposition via a Dry Powder Inhaler. AAPS PharmSciTech 2024; 25:109. [PMID: 38730125 DOI: 10.1208/s12249-024-02825-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 04/29/2024] [Indexed: 05/12/2024] Open
Abstract
Although inhalation therapy represents a promising drug delivery route for the treatment of respiratory diseases, the real-time evaluation of lung drug deposition remains an area yet to be fully explored. To evaluate the utility of the photo reflection method (PRM) as a real-time non-invasive monitoring of pulmonary drug delivery, the relationship between particle emission signals measured by the PRM and in vitro inhalation performance was evaluated in this study. Symbicort® Turbuhaler® was used as a model dry powder inhaler. In vitro aerodynamic particle deposition was evaluated using a twin-stage liquid impinger (TSLI). Four different inhalation patterns were defined based on the slope of increased flow rate (4.9-9.8 L/s2) and peak flow rate (30 L/min and 60 L/min). The inhalation flow rate and particle emission profile were measured using an inhalation flow meter and a PRM drug release detector, respectively. The inhalation performance was characterized by output efficiency (OE, %) and stage 2 deposition of TSLI (an index of the deagglomerating efficiency, St2, %). The OE × St2 is defined as the amount delivered to the lungs. The particle emissions generated by four different inhalation patterns were completed within 0.4 s after the start of inhalation, and were observed as a sharper and larger peak under conditions of a higher flow increase rate. These were significantly correlated between the OE or OE × St2 and the photo reflection signal (p < 0.001). The particle emission signal by PRM could be a useful non-invasive real-time monitoring tool for dry powder inhalers.
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Affiliation(s)
- Sakiko Hatazoe
- College of Pharmaceutical Sciences, Ritsumeikan University, Kusatsu, Shiga, Japan
- Department of Clinical Pharmacology and Therapeutics, Kyoto University Hospital, 54 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan
| | - Daiki Hira
- College of Pharmaceutical Sciences, Ritsumeikan University, Kusatsu, Shiga, Japan.
- Department of Clinical Pharmacology and Therapeutics, Kyoto University Hospital, 54 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan.
| | - Tetsuri Kondo
- Department of Respiratory Medicine, Shonan Fujisawa Tokushukai Hospital, Fujisawa, Kanagawa, Japan
| | - Satoshi Ueshima
- College of Pharmaceutical Sciences, Ritsumeikan University, Kusatsu, Shiga, Japan
| | - Tomonobu Okano
- College of Pharmaceutical Sciences, Ritsumeikan University, Kusatsu, Shiga, Japan
| | - Satoshi Hamada
- Department of Respiratory Medicine, Graduate school of Medicine, Kyoto University, Kyoto, Japan
- Department of Advanced Medicine for Respiratory Failure, Graduate school of Medicine, Kyoto University, Kyoto, Japan
| | - Susumu Sato
- Department of Respiratory Medicine, Graduate school of Medicine, Kyoto University, Kyoto, Japan
- Department of Respiratory Care and Sleep Control Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Tomohiro Terada
- Department of Clinical Pharmacology and Therapeutics, Kyoto University Hospital, 54 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan
| | - Mikio Kakumoto
- College of Pharmaceutical Sciences, Ritsumeikan University, Kusatsu, Shiga, Japan
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Kadota K, Matsumoto K, Uchiyama H, Tobita S, Maeda M, Maki D, Kinehara Y, Tachibana I, Sosnowski TR, Tozuka Y. In silico evaluation of particle transport and deposition in the airways of individual patients with chronic obstructive pulmonary disease. Eur J Pharm Biopharm 2022; 174:10-19. [DOI: 10.1016/j.ejpb.2022.03.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 03/15/2022] [Accepted: 03/24/2022] [Indexed: 11/04/2022]
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