In-silico simulations of advanced drug delivery systems: what will the future offer?

This commentary enlarges on some of the topics addressed in the Position Paper "Towards more effective advanced drug delivery systems" by Crommelin and Florence (2013). Inter alia, the role of mathematical modeling and computer-assisted device design is briefly addressed in the Position Paper. This emerging and particularly promising field is considered in more depth in this commentary. In fact, in-silico simulations have become of fundamental importance in numerous scientific and related domains, allowing for a better understanding of various phenomena and for facilitated device design. The development of novel prototypes of space shuttles, nuclear power plants and automobiles are just a few examples. In-silico simulations are nowadays also well established in the field of pharmacokinetics/pharmacodynamics (PK/PD) and have become an integral part of the discovery and development process of novel drug products. Since Takeru Higuchi published his seminal equation in 1961 the use of mathematical models for the analysis and optimization of drug delivery systems in vitro has also become more and more popular. However, applying in-silico simulations for facilitated optimization of advanced drug delivery systems is not yet common practice. One of the reasons is the gap between in vitro and in vivo (PK/PD) simulations. In the future it can be expected that this gap will be closed and that computer assisted device design will play a central role in the research on, and development of advanced drug delivery systems.

[1]  Nicholas A Peppas,et al.  Modeling of drug release from bulk-degrading polymers. , 2011, International journal of pharmaceutics.

[2]  H. Harashima,et al.  Development of a pharmacokinetic/pharmacodynamic (PK/PD)-simulation system for doxorubicin in long circulating liposomes in mice using peritoneal P388. , 1999, Journal of controlled release : official journal of the Controlled Release Society.

[3]  Edward L Cussler,et al.  Diffusion: Mass Transfer in Fluid Systems , 1984 .

[4]  Samir Mitragotri,et al.  Mathematical models of skin permeability: an overview. , 2011, International journal of pharmaceutics.

[5]  J. Siepmann,et al.  Towards More Realistic In Vitro Release Measurement Techniques for Biodegradable Microparticles , 2009, Pharmaceutical Research.

[6]  Kinam Park,et al.  In vitro-in vivo correlation: perspectives on model development. , 2011, International journal of pharmaceutics.

[7]  Yannick Guinet,et al.  The contribution of Raman spectroscopy to the analysis of phase transformations in pharmaceutical compounds. , 2011, International journal of pharmaceutics.

[8]  J. Siepmann,et al.  Predictability of drug release from cochlear implants. , 2012, Journal of controlled release : official journal of the Controlled Release Society.

[9]  J. Siepmann,et al.  Drug release from PLGA-based microparticles: effects of the "microparticle:bulk fluid" ratio. , 2010, International journal of pharmaceutics.

[10]  J. Siepmann,et al.  Modeling drug release from PVAc/PVP matrix tablets. , 2010, Journal of controlled release : official journal of the Controlled Release Society.

[11]  Nicholas A Peppas,et al.  Higuchi equation: derivation, applications, use and misuse. , 2011, International journal of pharmaceutics.

[12]  T. Higuchi,et al.  Rate of release of medicaments from ointment bases containing drugs in suspension. , 1961, Journal of pharmaceutical sciences.

[13]  J. Siepmann,et al.  Modeling of drug release from delivery systems based on hydroxypropyl methylcellulose (HPMC). , 2001 .

[14]  John Crank,et al.  The Mathematics Of Diffusion , 1956 .

[15]  Göran Frenning,et al.  Modelling drug release from inert matrix systems: from moving-boundary to continuous-field descriptions. , 2011, International journal of pharmaceutics.

[16]  Anders Axelsson,et al.  Mechanistic modelling of drug release from polymer-coated and swelling and dissolving polymer matrix systems. , 2011, International journal of pharmaceutics.

[17]  R. Hoffman,et al.  Population analysis of ethnicity and first-phase insulin release. , 2010, Diabetes research and clinical practice.

[18]  Pauline E. Leary,et al.  Elevated temperature accelerated release testing of PLGA microspheres. , 2006, Journal of controlled release : official journal of the Controlled Release Society.

[19]  Satish K. Singh,et al.  Controlled Release: A Quantitative Treatment , 2011 .

[20]  J. Siepmann,et al.  Mathematical modeling of bioerodible, polymeric drug delivery systems. , 2001, Advanced drug delivery reviews.

[21]  U. Bhardwaj,et al.  Comparison of in vitro-in vivo release of Risperdal(®) Consta(®) microspheres. , 2012, International journal of pharmaceutics.

[22]  C Vervaet,et al.  Near infrared and Raman spectroscopy for the in-process monitoring of pharmaceutical production processes. , 2011, International journal of pharmaceutics.

[23]  Ping I. Lee,et al.  Modeling of drug release from matrix systems involving moving boundaries: approximate analytical solutions. , 2011, International journal of pharmaceutics.

[24]  A T Florence,et al.  Local controlled drug delivery to the brain: mathematical modeling of the underlying mass transport mechanisms. , 2006, International journal of pharmaceutics.

[25]  Lin Xie,et al.  Mechanism-based pharmacokinetic-pharmacodynamic modeling of the estrogen-like effect of ginsenoside Rb1 on neural 5-HT in ovariectomized mice. , 2011, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

[26]  J. Siepmann,et al.  Unintended potential impact of perfect sink conditions on PLGA degradation in microparticles. , 2011, International journal of pharmaceutics.

[27]  D. Crommelin,et al.  Towards more effective advanced drug delivery systems. , 2013, International journal of pharmaceutics.

[28]  P Veng-Pedersen,et al.  Noncompartmentally-based pharmacokinetic modeling. , 2001, Advanced drug delivery reviews.

[29]  D R Paul,et al.  Elaborations on the Higuchi model for drug delivery. , 2011, International journal of pharmaceutics.

[30]  Juergen Siepmann,et al.  Modeling of diffusion controlled drug delivery. , 2012, Journal of controlled release : official journal of the Controlled Release Society.

[31]  J. Siepmann,et al.  Impact of the experimental conditions on drug release from parenteral depot systems: From negligible to significant. , 2012, International journal of pharmaceutics.

[32]  J. Siepmann,et al.  Mathematical modeling of drug delivery. , 2008, International journal of pharmaceutics.