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iBCS: 2. Mechanistic Modeling of Pulmonary Availability of Inhaled Drugs versus Critical Product Attributes.
Bäckman, Per; Cabal, Antonio; Clark, Andy; Ehrhardt, Carsten; Forbes, Ben; Hastedt, Jayne; Hickey, Anthony; Hochhaus, Guenther; Jiang, Wenlei; Kassinos, Stavros; Kuehl, Philip J; Prime, David; Son, Yoen-Ju; Teague, Simon P; Tehler, Ulrika; Wylie, Jennifer.
Afiliação
  • Bäckman P; Emmace Consulting AB, Medicon Village, Scheelevägen 2, Lund SE-223 81, Sweden.
  • Cabal A; Eisai, Woodcliff Lake, New Jersey 07677, United States.
  • Clark A; Aerogen Pharma, San Mateo, California 94402, United States.
  • Ehrhardt C; Trinity College Dublin, Dublin 2, Ireland.
  • Forbes B; King's College London, London WC2R 2LS, U.K.
  • Hastedt J; JDP Pharma Consulting, San Carlos, California 94070, United States.
  • Hickey A; University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States.
  • Hochhaus G; RTI International, Research Triangle Park, North Carolina 27709, United States.
  • Jiang W; University of Florida, Gainesville, Florida 32611, United States.
  • Kassinos S; Center for Drug Evaluation and Research, Office of Generic Drugs, Office of Research and Standards, U.S. FDA, Silver Spring, Maryland 20993, United States.
  • Kuehl PJ; University of Cyprus, Nicosia 1678, Cyprus.
  • Prime D; Lovelace Biomedical, Albuquerque, New Mexico 87108, United States.
  • Son YJ; Pulmonary Drug Delivery Consultant, Ware SG12, U.K.
  • Teague SP; Genentech, South San Francisco, California 94080, United States.
  • Tehler U; GlaxoSmithKline, Stevenage SG1 2NY, U.K.
  • Wylie J; Advanced Drug Delivery, Pharmaceutical Sciences, R&D, AstraZeneca, Gothenburg 43183, Sweden.
Mol Pharm ; 19(7): 2040-2047, 2022 07 04.
Article em En | MEDLINE | ID: mdl-35609877
ABSTRACT
This work is the second in a series of publications outlining the fundamental principles and proposed design of a biopharmaceutics classifications system for inhaled drugs and drug products (the iBCS). Here, a mechanistic computer-based model has been used to explore the sensitivity of the primary biopharmaceutics functional output parameters (i) pulmonary fraction dose absorbed (Fabs) and (ii) drug half-life in lumen (t1/2) to biopharmaceutics-relevant input attributes including dose number (Do) and effective permeability (Peff). Results show the nonlinear sensitivity of primary functional outputs to variations in these attributes. Drugs with Do < 1 and Peff > 1 × 10-6 cm/s show rapid (t1/2 < 20 min) and complete (Fabs > 85%) absorption from lung lumen into lung tissue. At Do > 1, dissolution becomes a critical drug product attribute and Fabs becomes dependent on regional lung deposition. The input attributes used here, Do and Peff, thus enabled the classification of inhaled drugs into parameter spaces with distinctly different biopharmaceutic risks. The implications of these findings with respect to the design of an inhalation-based biopharmaceutics classification system (iBCS) and to the need for experimental methodologies to classify drugs need to be further explored.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biofarmácia / Absorção Intestinal Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biofarmácia / Absorção Intestinal Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article