A Perspective on Model-Informed IVIVC for Development of Subcutaneous Injectables.


Journal

Pharmaceutical research
ISSN: 1573-904X
Titre abrégé: Pharm Res
Pays: United States
ID NLM: 8406521

Informations de publication

Date de publication:
Jul 2023
Historique:
received: 27 02 2023
accepted: 19 07 2023
medline: 14 8 2023
pubmed: 31 7 2023
entrez: 31 7 2023
Statut: ppublish

Résumé

Subcutaneously administered drugs are growing in popularity for both large and small molecule drugs. However, development of these systems - particularly generics - is slowed due to a lack of formal guidance regarding preclinical testing and in vitro - in vivo correlations (IVIVC). Many of these methods, while appropriate for oral drugs, may not be optimized for the complex injection site physiologies, and release rate and absorption mechanisms of subcutaneous drugs. Current limitations for formulation design and IVIVC can be supported by implementing mechanistic, computational methods. These methods can help to inform drug development by identifying key drug and formulation attributes, and their effects on drug release rates. This perspective, therefore, addresses current guidelines in place for oral IVIVC development, how they may differ for subcutaneously administered compounds, and how modeling and simulation can be implemented to inform design of these products. As such, integration of modeling and simulation with current IVIVC systems can help in driving the development of subcutaneous injectables.

Identifiants

pubmed: 37523013
doi: 10.1007/s11095-023-03572-3
pii: 10.1007/s11095-023-03572-3
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1633-1639

Informations de copyright

© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Références

Kale MRS. Drug nanocrystals: a way towards scale-up. Saudi Pharmaceutical J. 2016;24(4):386–404.
doi: 10.1016/j.jsps.2014.04.007
Viola M, Sequeira J, Seica R, Veiga F, Serra J, Santos AC, Ribiero A. Subcutaneous delivery of monoclonal antibodies: how do we get there? J Control Release. 2018;286:301–14.
doi: 10.1016/j.jconrel.2018.08.001 pubmed: 30077735
Owen A, Rannard S. Strengths, weaknesses, opportunities and challenges for long-acting injectable therapies: insights for applications in HIV therapy. Adv Drug Deliv Rev. 2016;103:144–56.
doi: 10.1016/j.addr.2016.02.003 pubmed: 26916628 pmcid: 4935562
Skalko-Basnet N. Biologics: the role of delivery systems in improved therapy. Biologics. 2014;8:107–14.
pubmed: 24672225 pmcid: 3964020
Kansara V, Mitra A, Wu Y. Subcutaneous delivery of small molecule formulations: an insight into biopharmaceutics & formulation strategies. Drug Delivery Technol. 2009;9:38–43.
McDowell A, Medlicott NJ. Anatomy and Physiology of the Injection Site: Implications for Extended-Release Parenteral Systems. Long-Acting Injections and Implants. 2012;57–71.
Turner MR, Balu-Iyer S, v. Challenges and opportunities for the subcutaneous delivery of therapeutic proteins. J Pharm Sci. 2018;107(5):1247–60.
doi: 10.1016/j.xphs.2018.01.007 pubmed: 29336981 pmcid: 5915922
Shen J, Burgess DJ. In vitro–in vivo correlation for complex non-oral drug products: where do we stand? J Control Release. 2015;219:644–51.
doi: 10.1016/j.jconrel.2015.09.052 pubmed: 26419305 pmcid: 4739855
García-Arieta A, Simon C, Tam A, Santos GML, Fernandes EAF, Martínez ZR, Rodrigues C, Park S, Kim J, Kim K, Kuribayashi R, Myoenzono A, Shimojo K, Walther C, Roost M, Hung W, Hsu L, Crane C, Braddy A, et al. A survey of the regulatory requirements for the waiver of in vivo bioequivalence studies of generic products in certain dosage forms by participating regulators and Organisations of the international pharmaceutical regulators Programme. J Pharm Pharm Sci. 2021;24:113–26.
doi: 10.18433/jpps31491 pubmed: 33734975
Chakroborty S, Bansala AK. Current updates on in-vitro drug release testing of long-acting Injectables. Am Pharm Rev. 2022. Available from: https://www.americanpharmaceuticalreview.com/Featured-Articles/584542-Current-Updates-on-In-vitro-Drug-Release-Testing-of-Long-Acting-Injectables/ .
Amidon GL, Lennernäs H, Shah VP, Crison JR. A theoretical basis for a biopharmaceutic drug classification: the correlation of in vitro drug product dissolution and in vivo bioavailability. Pharm Res. 1995;12(3):413–20.
doi: 10.1023/A:1016212804288 pubmed: 7617530
Nainar S, Rajiah K, Angamuthu S, Kasibhatta R. Biopharmaceutical classification system in in- vitro /in-vivo correlation: concept and development strategies in drug delivery. Trop J Pharm Res. 2012;11:319–29.
doi: 10.4314/tjpr.v11i2.20
Benet LZ. The role of BCS (biopharmaceutics classification system) and BDDCS (biopharmaceutics drug disposition classification system) in drug development. J Pharm Sci. 2013;102(1):34–42.
doi: 10.1002/jps.23359 pubmed: 23147500
Angelis I de, Turco L. Caco-2 cells as a model for intestinal absorption. Curr Protoc Toxicol. 2011;Chapter 20:Unit20.6. Available from: http://europepmc.org/abstract/MED/21400683 . Accessed 14 Mar 2023.
Sun H, Nguyen K, Kerns E, Yan Z, Yu KR, Shah P, Jadhav A, Xu X. Highly predictive and interpretable models for PAMPA permeability. Bioorg Med Chem. 2017;25(3):1266–76.
doi: 10.1016/j.bmc.2016.12.049 pubmed: 28082071
Suarez-Sharp S, Li M, Duan J, Shah H, Seo P. Regulatory experience with in vivo in vitro correlations (IVIVC) in new drug applications. AAPS J. 2016;18(6):1379–90.
doi: 10.1208/s12248-016-9966-2 pubmed: 27480319
Extended Release Oral Dosage Forms: Development, Evaluation, and Application of In Vitro/In Vivo Correlations | FDA. 1997. Available from: https://www.fda.gov/regulatory-information/search-fda-guidance-documents/extended-release-oral-dosageforms-development-evaluation-and-application-vitroin-in-vivo-correlations . Accessed 4 Jun 2023.
Chow SC. Bioavailability and bioequivalence in drug development. Wiley Interdiscip Rev Comput Stat. 2014;6(4):304–12.
doi: 10.1002/wics.1310 pubmed: 25215170 pmcid: 4157693
D’Souza S. A review of in vitro drug release test methods for nano-sized dosage forms. Advances in Pharmaceutics. 2014;2014:1–12.
doi: 10.1155/2014/304757
Bao Q, Wang X, Zou Y, Wang Y, Burgess DJ. In vitro release testing method development for long-acting injectable suspensions. Int J Pharm. 2022;622:121840.
doi: 10.1016/j.ijpharm.2022.121840 pubmed: 35595043 pmcid: 9236550
Kinman L, Bui T, Larsen K, Tsai CC, Anderson D, Morton WR, Hu S, Ho R. Optimization of lipid-indinavir complexes for localization in lymphoid tissues of HIV-infected macaques. JAIDS. 2006;42(2):155–61.
pubmed: 16760797
Smith N, Wang W, Makarov E, Sun Y. A long-acing 3TC nanoformulation suppresses HBV replication in humanized mice. In: Conference on Retroviruses and Opportunistic Infections (CROI); Mar 4-7, 2019; Seattle, WA. 2019.
Kinnunen HM, Sharma V, Contreras-Rojas LR, Yu Y, Alleman C, Sreedhara A, Fischer S, Khawli L, Yohe S, Bumbaca D, Patapoff T, Daughterty A, Mrsny R. A novel in vitro method to model the fate of subcutaneously administered biopharmaceuticals and associated formulation components. J Control Release. 2015;214:94–102.
doi: 10.1016/j.jconrel.2015.07.016 pubmed: 26210441
Larsen SW, Ostergaard J, Yaghmur A, Jensen H, Larsen C. Use of in vitro release models in the design of sustained and localized drug delivery systems for subcutaneous and intra-articular administration. J Drug Deliv Sci Technol. 2013;23(4):315–24.
doi: 10.1016/S1773-2247(13)50048-7
Beissner N, Albero AB, Fuller J, Kellner T, Lauterboeck L, Liang JH, Bol M, Glasmacher B, Muller-Goymann C, Reichl S. Improved in vitro models for preclinical drug and formulation screening focusing on 2D and 3D skin and cornea constructs. Eur J Pharm Biopharm. 2018;126:57–66.
doi: 10.1016/j.ejpb.2017.11.014 pubmed: 29191717
Carragher N, Piccinini F, Tesei A, Trask OJ, Bickle M, Horvath P. Concerns, challenges and promises of high-content analysis of 3D cellular models. Nat Rev Drug Discov. 2018;17(8):607–8.
doi: 10.1038/nrd.2018.99
Brohem CA, Cardeal LBD, Tiago M, Soengas MS, Barros SBD, Maria-Engler SS. Artificial skin in perspective: concepts and applications. Pigment Cell Melanoma Res. 2011;24(1):35–50.
doi: 10.1111/j.1755-148X.2010.00786.x pubmed: 21029393
Johnson DE. Biotherapeutics: challenges and opportunities for predictive toxicology of monoclononal antibodies. Int J Mol Sci. 2018;10(11):3685.
doi: 10.3390/ijms19113685
Upton RN, Foster DJR, Abuhelwa AY. An introduction to physiologically-based pharmacokinetic models. Paediatr Anaesth. 2016;26(11):1036–46.
doi: 10.1111/pan.12995 pubmed: 27550716
Zhuang X, Lu C. PBPK modeling and simulation in drug research and development. Acta Pharm Sin B. 2016;6(5):430–40.
doi: 10.1016/j.apsb.2016.04.004 pubmed: 27909650 pmcid: 5125732
Rajoli RKR, Demkovich ZR, Flexner C, Owen A, Siccardi M. Predicting pharmacokinetics of a Tenofovir Alafenamide subcutaneous implant using physiologically based pharmacokinetic modelling. Antimicrob Agents Chemother. 2020;64(8):e00155–e00120. Available from: http://aac.asm.org/content/64/8/e00155-20.abstract .
Rajoli RKR, Back D, Rannard S, Meyers CLF, Flexner C, Owen A, Siccardi M. Physiologically based pharmacokinetic modelling to inform development of intramuscular long-acting Nanoformulations for HIV. Clin Pharm. 2015;54(6):639–50.
doi: 10.1007/s40262-014-0227-1
Lukacova V. Application of modeling and simulation in long-acting injectable product development. 2022. Available from: https://www.simulations-plus.com/resource/application-of-modeling-and-simulation-in-long-actinginjectable-product-development/ . Accessed 20 Jan 2023.
Einolf HJ. Scemblix: Use of PBPK Models in Lieu of Clinical Trials. In: AAPS PharmSci 360; Oct 16-19, 2022; Boston, MA. 2022.
Shah JC, Hong J. Model for long acting Injectables (depot formulation) based on pharmacokinetics and physical chemical properties. AAPS J. 2022;24(3):44.
doi: 10.1208/s12248-022-00695-0 pubmed: 35298711
Benet LZ, Broccatelli F, Oprea TI. BDDCS applied to over 900 drugs. AAPS J. 2011;13(4):519–47.
doi: 10.1208/s12248-011-9290-9 pubmed: 21818695 pmcid: 3231854
Bocci G, Oprea TI, Benet LZ. State of the art and uses for the biopharmaceutics drug disposition classification system (BDDCS): new additions, revisions, and citation references. AAPS J. 2022;24(2):37.
doi: 10.1208/s12248-022-00687-0 pubmed: 35199251
Bhattiprolu AK, Kollipara S, Ahmed T, Boddu R, Chachad S. Utility of physiologically based biopharmaceutics modeling (PBBM) in regulatory perspective: application to supersede f2, Enabling Biowaivers & Creation of dissolution safe space. J Pharm Sci. 2022;111(12):3397–410.
doi: 10.1016/j.xphs.2022.09.003 pubmed: 36096285
Hou P, Zheng F, Corpstein CD, Xing L, Li T. Multiphysics modeling and simulation of subcutaneous injection and absorption of biotherapeutics: sensitivity analysis. Pharm Res. 2021;38(6):1011–30.
doi: 10.1007/s11095-021-03062-4 pubmed: 34080101
Zheng F, Hou P, Corpstein CD, Xing L, Li T. Multiphysics modeling and simulation of subcutaneous injection and absorption of biotherapeutics: model development. Pharm Res. 2021;38(4):607–24.
doi: 10.1007/s11095-021-03032-w pubmed: 33811278
Zheng F, Hou P, Corpstein CD, Park K, Li T. Multiscale pharmacokinetic modeling of systemic exposure of subcutaneously injected biotherapeutics. J Control Release. 2021;337:407–16.
doi: 10.1016/j.jconrel.2021.07.043 pubmed: 34324897

Auteurs

Clairissa D Corpstein (CD)

Department of Industrial and Physical Pharmacy, Purdue University, West Lafayette, Indiana, USA.

Tonglei Li (T)

Department of Industrial and Physical Pharmacy, Purdue University, West Lafayette, Indiana, USA. tonglei@purdue.edu.

Articles similaires

Vancomycin Polyesters Anti-Bacterial Agents Models, Theoretical Drug Liberation
Humans Meta-Analysis as Topic Sample Size Models, Statistical Computer Simulation
Humans Algorithms Software Artificial Intelligence Computer Simulation
Humans Robotic Surgical Procedures Clinical Competence Male Female

Classifications MeSH