PMID- 37488057 OWN - NLM STAT- MEDLINE DCOM- 20230821 LR - 20230821 IS - 1873-3476 (Electronic) IS - 0378-5173 (Linking) VI - 643 DP - 2023 Aug 25 TI - Progressive tools and critical strategies for development of best fit PBPK model aiming better in vitro-in vivo correlation. PG - 123267 LID - S0378-5173(23)00687-7 [pii] LID - 10.1016/j.ijpharm.2023.123267 [doi] AB - Nowadays, conducting discriminative dissolution experiments employing physiologically based pharmacokinetic modeling (PBPK) or physiologically based biopharmaceutical modeling (PBBM) is gaining significant importance in quantitatively predicting oral absorption of drugs. Mechanistic understanding of each process involved in drug absorption and its impact on the performance greatly facilitates designing a formulation with high confidence. Unfortunately, the biggest challenge scientists are facing in current days is the lack of standardized protocol for integrating dissolution experiment data during PBPK modeling. However, in vitro-in vivo drug release interrelation can be improved with the consideration and development of appropriate biorelevant dissolution media that closely mimic physiological conditions. Multiple reported dissolution models have described nature and functionality of different regions of the gastrointestinal tract (GI) to more accurately design discriminative dissolution media. Dissolution experiment data can be integrated either mechanistically or without a mechanism depending primarily on the formulation type, biopharmaceutics classification system (BCS) class and particle size of the drug substance. All such parameters are required to be considered for selecting the appropriate functions during PBPK modeling to produce a best fit model. The primary focus of this review is to critically discuss various progressive dissolution models and tools, existing challenges and approaches for establishing best fit PBPK model aiming better in vitro-in vivo correlation (IVIVC). Strategies for proper selection of dissolution models as an input function in PBPK/PBBM modeling have also been critically discussed. Logical and scientific pathway for selection of different type of functions and integration events in the commercially available in silico software has been described through case studies. CI - Copyright (c) 2023 Elsevier B.V. All rights reserved. FAU - Golhar, Arnav AU - Golhar A AD - Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research-Ahmedabad (NIPER-A), An Institute of National Importance, Government of India, Department of Pharmaceuticals, Ministry of Chemicals and Fertilizers, Opp. Airforce Station, Palaj, Gandhinagar 382355, Gujarat, India. FAU - Pillai, Megha AU - Pillai M AD - Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research-Ahmedabad (NIPER-A), An Institute of National Importance, Government of India, Department of Pharmaceuticals, Ministry of Chemicals and Fertilizers, Opp. Airforce Station, Palaj, Gandhinagar 382355, Gujarat, India. FAU - Dhakne, Pooja AU - Dhakne P AD - Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research-Ahmedabad (NIPER-A), An Institute of National Importance, Government of India, Department of Pharmaceuticals, Ministry of Chemicals and Fertilizers, Opp. Airforce Station, Palaj, Gandhinagar 382355, Gujarat, India. FAU - Rajput, Niraj AU - Rajput N AD - Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research-Ahmedabad (NIPER-A), An Institute of National Importance, Government of India, Department of Pharmaceuticals, Ministry of Chemicals and Fertilizers, Opp. Airforce Station, Palaj, Gandhinagar 382355, Gujarat, India. FAU - Jadav, Tarang AU - Jadav T AD - Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research-Ahmedabad (NIPER-A), An Institute of National Importance, Government of India, Department of Pharmaceuticals, Ministry of Chemicals and Fertilizers, Opp. Airforce Station, Palaj, Gandhinagar 382355, Gujarat, India. FAU - Sengupta, Pinaki AU - Sengupta P AD - Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research-Ahmedabad (NIPER-A), An Institute of National Importance, Government of India, Department of Pharmaceuticals, Ministry of Chemicals and Fertilizers, Opp. Airforce Station, Palaj, Gandhinagar 382355, Gujarat, India. Electronic address: psg725@gmail.com. LA - eng PT - Journal Article PT - Review DEP - 20230722 PL - Netherlands TA - Int J Pharm JT - International journal of pharmaceutics JID - 7804127 RN - 0 (Biological Products) SB - IM MH - Solubility MH - Administration, Oral MH - Drug Liberation MH - *Biopharmaceutics/methods MH - Gastrointestinal Tract/metabolism MH - *Biological Products/metabolism MH - Models, Biological MH - Computer Simulation OTO - NOTNLM OT - Dissolution OT - In vitro-In vivo correlation OT - Physiologically based biopharmaceutical modeling OT - Physiologically based pharmacokinetic modeling OT - Quality by design COIS- Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. EDAT- 2023/07/25 01:09 MHDA- 2023/08/21 06:42 CRDT- 2023/07/24 22:05 PHST- 2023/05/04 00:00 [received] PHST- 2023/07/18 00:00 [revised] PHST- 2023/07/21 00:00 [accepted] PHST- 2023/08/21 06:42 [medline] PHST- 2023/07/25 01:09 [pubmed] PHST- 2023/07/24 22:05 [entrez] AID - S0378-5173(23)00687-7 [pii] AID - 10.1016/j.ijpharm.2023.123267 [doi] PST - ppublish SO - Int J Pharm. 2023 Aug 25;643:123267. doi: 10.1016/j.ijpharm.2023.123267. Epub 2023 Jul 22.