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Dissolution Challenges Associated with the Surface pH of Drug Particles: Integration into Mechanistic Oral Absorption Modeling.
Hens, Bart; Seegobin, Nidhi; Bermejo, Marival; Tsume, Yasuhiro; Clear, Nicola; McAllister, Mark; Amidon, Gregory E; Amidon, Gordon L.
Afiliação
  • Hens B; Drug Product Design, Pfizer, Discovery Park, Ramsgate Road, Sandwich, CT13 9ND, UK. bart.hens@pfizer.com.
  • Seegobin N; Drug Product Design, Pfizer, Discovery Park, Ramsgate Road, Sandwich, CT13 9ND, UK.
  • Bermejo M; UCL School of Pharmacy, 29-39 Brunswick Square, Bloomsbury, London, WC1N 1AX, UK.
  • Tsume Y; Department of Engineering, Pharmacy Section, Miguel Hernandez University, 03550, San Juan de Alicante, Alicante, Spain.
  • Clear N; Merck & Co., Inc, 126 E Lincoln Ave, Rahway, New Jersey, 07065, USA.
  • McAllister M; Drug Product Design, Pfizer, Discovery Park, Ramsgate Road, Sandwich, CT13 9ND, UK.
  • Amidon GE; Drug Product Design, Pfizer, Discovery Park, Ramsgate Road, Sandwich, CT13 9ND, UK.
  • Amidon GL; Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, 428 Church Street, Ann Arbor, Michigan, 48109-1065, USA.
AAPS J ; 24(1): 17, 2022 01 04.
Article em En | MEDLINE | ID: mdl-34982285
ABSTRACT
The present work aimed to differentiate between in vitro dissolution profiles of ibuprofen as input for GastroPlus™ and to see the impact on systemic exposure. In vitro dissolution profiles of ibuprofen obtained under low- and high-buffered dissolution media were used as input using the z-factor approach. In a second step, a customized surface pH calculator was applied to predict the surface pH of ibuprofen under these low- and high-buffered dissolution conditions. These surface pH values were adopted in GastroPlus™ and simulations were performed to predict the systemic outcome. Simulated data were compared with systemic data of ibuprofen obtained under fasted state conditions in healthy subjects. The slower dissolution rate observed when working under low-buffered conditions nicely matched with the slower dissolution rate as observed during the clinical aspiration study and was in line with the systemic exposure of the drug. Finally, a population simulation was performed to explore the impact of z-factor towards bioequivalence (BE) criteria (so-called safe space). Concerning future perspectives, the customized calculator should be developed in such a way to make it possible to predict the dissolution rate (being informed by the particle size distribution) which, in its turn, can be used as a surrogate to predict the USP2 dissolution curve. Subsequently, validation can be done by using this profile as input for PBPK platforms.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Química Farmacêutica / Ibuprofeno / Modelos Biológicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: AAPS J Assunto da revista: FARMACOLOGIA / TERAPIA POR MEDICAMENTOS Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Química Farmacêutica / Ibuprofeno / Modelos Biológicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: AAPS J Assunto da revista: FARMACOLOGIA / TERAPIA POR MEDICAMENTOS Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido
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