Abstract
A thorough understanding of the behavior of drug formulations in the human gastrointestinal (GI) tract is essential when working in the field of oral drug development in a pharmaceutical company. For orally administered drug products, various GI processes, including disintegration of the drug formulation, drugrelease, dissolution, precipitation, degradation, dosage form transit and permeation, dictate absorption into the systemic circulation. These processes are not always fully captured in predictive in vitro and in silico tools, as commonly applied in the pre-clinical stage of formulation drug development. A collaborative initiative focused on the science of oral biopharmaceutics was established in 2012 between academic institutions and industrial companies to innovate, optimize and validate these in vitro and in silico biopharmaceutical tools. From that perspective, the predictive power of these models can be revised and, if necessary, optimized to improve the accuracy toward predictions of the in vivo performance of orally administered drug products in patients. The IMI/EFPIA-funded “Oral Bioavailability Tools (OrBiTo)” project aimed to improve our fundamental understanding of the GI absorption process. The gathered information was integrated into the development of new (or already existing) laboratory tests and computer-based methods in order to deliver more accurate predictions of drug product behavior in a real-life setting. These methods were validated with the use of industrial data. Crucially, the ultimate goal of the project was to set up a scientific framework (i.e., decision trees) to guide the use of these new tools in drug development. The project aimed to facilitate and accelerate the formulation development process and to significantly reduce the need for animal experiments in this area as well as for human clinical studies in the future. With respect to the positive outcome for patients, high-quality oral medicines will be developed where the required dose is well-calculated and consistently provides an optimal clinical effect. In a first step, this manuscript summarizes the setup of the project and how data were collected across the different work packages. In a second step, case studies of how this project contributed to improved knowledge of oral drug delivery which can be used to develop improved products for patients will be illustrated.
Introduction
In October 2012, the IMI/EFPIA-funded initiative “Oral Bioavailability Tools (OrBiTo)” project was launched and established a 5 year ongoing collaboration (extended with one extra year) between academic institutions and pharmaceutical companies with one major goal: refining and accelerating the formulation drug development process in order to serve better drug products to patients. A total of 13 pharmaceutical companies, 9 universities, research organizations, public bodies, one regulatory body, one non-profit research organization and three small/medium enterprises (SMEs) participated in this project (). The project was initiated by defining the state-of-art knowledge at the start of each work package (–). As traditional formulation development typically relies on an empirical approach requiring testing to determine the impact of changes during the development cycle, this project aimed to create a more rational and scientific framework to assist formulation scientists in developing better formulations customized to the patient's needs. The mission statement of the project was: “Through partnership, collaboration and data sharing, we will develop our fundamental knowledge of the gastrointestinal (GI) environment to deliver innovative biopharmaceutics tools which will accurately predict product performance over a range of clinically relevant conditions. The integration of in vitro and in silico approaches will provide a biopharmaceutics toolkit, validated using clinical data, to accelerate drug development.” After oral administration, a drug product will have different transit times throughout multiple regions in the GI tract. In order to understand how much drug will reach the systemic circulation and which plasma-concentration profile is achieved, it is of utmost importance to understand the anatomy and ongoing physiology that regulate the householding of the human GI tract. By gathering in-depth knowledge about how the GI tract functions, scientists will better understand how differences in systemic plasma concentration-time profiles may occur between and within patients after intake of an approved oral drug product. This has previously been achieved in specially designed oral formulations for patients with Addison's and/or Parkinson's disease (–).
After intake, the dosage form needs to disintegrate in order to release the drug compound. Subsequently, the drug needs to dissolve in order to generate a driving force for intestinal absorption. Only then, can drug molecules permeate through the intestinal wall, reach the systemic circulation, and find their way to the site of action. Depending on the physicochemical characteristics of the compound and the formulation properties, some physiological processes (e.g., motility, gastric emptying, pH, biliary secretion) can become critical parameters for dictating drug absorption into the systemic circulation. When implementing these physiological variables into predictive in vitro and in silico computational biopharmaceutical tools, predictions can be made taking into account the most extreme situations (i.e., in terms of minimal and maximal systemic exposure of the drug) toward a patient population. Defining these physiological GI variables and using them as covariates in in silico simulation tools together with population based pharmacokinetic-pharmacodynamic modeling and quantitative systemic pharmacological predictions, it becomes a useful approach to predict the optimal dose for each patient suffering from a chronic/acute disease (i.e., personalized medicine) ().
Within “OrBiTo,” five discrete work packages (WP) were constructedto assure the successful completion of all pre-defined goals. Based on the outcomes from each work package, an intensive data analysis was performed and a decision tree was developed for different kinds of formulations and compounds of interest (e.g., immediate-release formulation for a weakly basic compound). The decision tree will assist formulation scientists in selecting the most appropriate in vitro dissolution test (eventually coupled with computational modeling) to better understand what can be expected from this formulation (in terms of systemic exposure) if it would be given to patients in the later stage of drug development (). The decision tree can be downloaded from the following website: www.orbito-dissolution.eu. In the following paragraphs, a more detailed description of each work package will be discussed including the pre-defined goals. In addition, two specific case studies of how this project could contribute to improved patient healthcare will be demonstrated for an optimized drug formulation of the poorly soluble compound posaconazole (i.e., antifungal agent) and a second example will demonstrate how different intake conditions (sparkling vs. still water) were tested for paracetamol (i.e., pain-reliever) and resulted in unexpected differences with respect to the systemic concentrations.
Organization of the Different Work Packages Throughout the “ORBITO” Project
To reach for the ultimate goal which is “Transform our ability to predict the in vivo performance of oral drug products across all stages of drug development,” a well-organized project plan was drafted to guide the consortium effort toward reaching the desired target. The “OrBiTo” project was divided into five different work packages (WPs), with each work package focusing on a specific theme (Figure 1).
Figure 1
Every single WP has its specific kind of expertise and coordinated by two WP leaders; one academic and one industry leader.
WP 1—In Vitro Physchem Tools
WP Leaders: Rene Holm, Janssen Pharmaceutica (initially joined the project affiliated with the Lundbeck company) and Anette Müllertz, Copenhagen University.
WP 1 focuses on the physicochemical properties of the active pharmaceutical ingredient (e.g., molecular weight, pKa, LogP, etc.) to find a clear link between these properties and biopharmaceutical characteristics of the compounds (e.g., solubility, dissolution kinetics and/or permeability). In order to significantly contribute to the understanding of molecular biopharmaceutics, WP1 has two cornerstones:
1) A structurally diverse set of active pharmaceutical ingredients (APIs) with the focus on poorly soluble compounds (BCS class II and IV), selected primarily among the EFPIA API to cover a representative chemical range (in terms of pKa values, molecular weight, etc.). To this space, various BCS class I and III are added characterized by a high solubility and high (BCS class I) or low (BCS class III) permeability.
2) A set of simulated gastrointestinal media (SGIM), reflecting compositions of the human GI fluids in the fasted and the fed state.
The sets of API and SGIM were the basis for the standardized, validated physicochemical tools that are developed in WP 1. These models will improve the current physicochemical profiling of APIs, by comparing and linking to in vivo data, and thereby securing relevance for API in vivo solubility and permeability. Novel methodologies for dissolution rate, supersaturating propensity including re-crystallization/precipitation, intestinal permeability including the impact of mucus diffusion, and surface activity profiling, were developed as described below. In addition, new in silico tools for predictions of biorelevant physicochemical variables making use of the experimental data were devised. Specific attention was given to compounds suffering from a low aqueous solubility which are categorized as BCS class 2 and 4 compounds according to the Biopharmaceutics Classification System (BCS) (). Most of the drug molecules that are populating the pharmaceutical pipelines are drug molecules characterized by a low aqueous solubility (). This WP is closely linked with WP 2 (“In vitro tools—understanding the formulation”) using the knowledge and results obtained from the physicochemical studies and models as listed in WP 1. Moreover, the obtained data from WP 1 served as physicochemical parameter inputs for integrated modeling and predictive tools developed in WP 4. These computational in silico models were depending on input data such as solubility, permeability and dissolution values, which are generated by WP 1 and WP 2 (Figure 2).
Figure 2
WP 2—Dissolution Tools
WP Leaders: James Butler, GlaxoSmithKline Research and Development Ltd. and Patrick Augustijns, KU Leuven.
The main objectives of WP 2 were (i) to establish biorelevant in vitro tools that are able to predict the in vivo performance of drug formulations and (ii) to develop a decision tree afterwards that can assist formulation scientists/developers in the selection of the most suitable in vitro dissolution test that will give the most predictive outcome for their compound/formulation of interest. The dissolution models that were subject of interest were optimized and validated to improve their predictive accuracy. To do so, in vivo data derived from WP 3 served as a reference to optimize/validate these current models. An example of a well-established in vitro model and that was validated during the “OrBiTo” project is the Biorelevant Gastrointestinal Transfer (BioGIT) model, representing the upper part of the GI tract consisting of a gastric and a duodenal chamber (, ). An extra vessel is added to the model to simulate the intestinal secretions (Figure 3).
Figure 3
An overview of other in vitro models that were optimized and/or validated during the “OrBiTo” project, can be found elsewhere (
WP 3—In Vivo Tools
WP Leaders: Marcus Brewster, Janssen Pharmaceutica—Achiel Van Peer, Janssen Pharmaceutica—Patricia Zane, Sanofi—Peter Langguth, Johannes Gutenberg Universität Mainz.
To fully understand the intraluminal behavior of a drug in the GI tract, a plethora of in vivo techniques were applied during the “OrBiTo” project (
Besides intraluminal drug concentration profiling of the drug, magnetic resonance imaging (MRI) was used as a robust tool to assess (i) the volume of GI fluids present in the human GI tract and (ii) the gastric emptying and intestinal transit times of specific dosage forms (when magnetically labeled) (
WP 4—In Silico Tools
WP Leaders: Xavier Pepin, AstraZeneca (initially joined the project affiliated with the Sanofi company) and Amin Rostami, University of Manchester.
In essence, the objectives proposed within WP 4 are closely linked with the outputs from WP 1-3. The in silico computational models which were the focus of WP4 can be “fed” with the gathered data from WP 1 (in vitro PhysChem tools) and WP 2 (dissolution tools) and the predicted outcomes (e.g., plasma concentration-time profiles) can be compared with the observed systemic exposure data, as measured during the clinical studies in WP 3. By iterative approaches and the testing of several inputs to the models coupled to model refinements, the ultimate aim is to improve the accuracy and precision of bioavailability predictions. Commercially available software tools (e.g., Simcyp®, GastroPlus™) are helpful to assist pharmaceutical companies in an early stage of drug development to address the “druggability” of a new API to become a marketed drug product, that will generate sufficient therapeutic concentrations in patients after oral administration of the drug product (
WP 5—Management Activities and Dissemination
Scientific coordinators and managing entity: Bertil Abrahamsson & Martin Berntsson, AstraZeneca—Peter Langguth, Johannes Gutenberg Universität Mainz—Mark McAllister, Pfizer—Hans Lennernäs, Uppsala University—Erik Sjögren, Uppsala University—Christer Karlsson, AstraZeneca—Jenny Ottosson, AstraZeneca.
The managing team was responsible to assure that all deliverables were accomplished at the pre-defined times. Monthly conference calls and annual face-to-face meetings were indispensable to keep up with the process of this ambitious project. With the extra help of all Ph.D. students and postdoctoral researchers (united as “Young OrBiTo”), numerous initiatives and activities (e.g., webinars, poster sessions and a workshop) were established to share our generated results with a broader audience. Prior to sharing the generated results with the public, all data were first disseminated on the online platform “Sharepoint,” giving the chance to all collaborators to give their personal comments/remarks before the data will be publicly distributed.
The Impact of the Orbito Project on Patient Healthcare: Case Examples With Posaconazole (Noxafil®) and Paracetamol (Dafalgan®)
An Optimized Formulation Strategy for Posaconazole to Improve the Oral Bioavailability in Patients
Posaconazole (weak base; pKa 3.6 and 4.6) is used for prophylaxis for invasive fungal infections (IFIs) among patients who are at high risk of developing these infections (e.g., immunocompromised patients). Posaconazole is commercially available as Noxafil® suspension (40 mg/mL) and, more recently, as Noxafil® delayed-release tablet (100 mg). Both formulations are manufactured by MSD Research laboratories (Merck Sharp & Dohme Corp., Kenilworth, NJ, USA). The variable PK of posaconazole when using the oral suspension formulation may limit the therapeutic response in some patients. Posaconazole shows a positive food effect (i.e., increased systemic exposure) (
Therefore, to unravel the underlying mechanisms that cause the improved intestinal uptake of posaconazole, two clinical GI aspiration studies were performed. In the first study, different suspensions of posaconazole were prepared and administered to healthy subjects in a very small-scale study (n = 5) (
Faster and Less Variable Intestinal Absorption of Paracetamol After Intake With Sparkling Water
Besides the impact of GI physiology, the administration conditions may also have a major impact on the systemic exposure of a drug after oral intake (
Concluding Remarks and Future Directions
This 6-year project revealed numerous insights into how GI physiology and formulation strategies have an impact on systemic drug exposure. The optimized biopharmaceutical (in vitro and in silico) models will allow for a more rational selection of drug and formulation strategies in the pharmaceutical industry, resulting in time- and cost-effective research which is a benefit for pharmaceutical companies and ultimately for patients. These new insights with respect to a better understanding of GI physiology and formulation behavior in the human GI tract (e.g., suspension vs. solid dispersion of posaconazole) have led to an improved knowledgebase for formulation scientists to use in a data-driven, design-led approach when developing new drug products, tailored to the needs of patients. more rationale and pragmatic way of thinking. As the “OrBiTo” project came to an end, new initiatives (e.g., MSCA ITN initiatives such as InPharma, Colotan, UNGAP and AgePOP) recently got launched with the same philosophy: bringing new and better drug products faster on the market for the patient by means of a better understanding of drug product behavior in the human body.
Statements
Author contributions
BH was invited to write this manuscript in order to contribute to a special issue related to the 10th anniversary of IMI. PA reviewed the entire manuscript and made additional corrections. MM, HL, and BA reviewed the sections with respect to the description of the different work packages and were the main pioneers of this IMI-funded project. A final read was done by BH and MM. All authors contributed to the article and approved the submitted version.
Acknowledgments
In memory of Dr. Marcus E. Brewster (1957–2014), who was a huge fan of the Young OrBiTo community. The OrBiTo family owes him a debt of gratitude for all his hard work over the years. In addition, authors would like to dedicate this work also to John Crison, one of the unconditional and steadfast supporters of this project (1954-2016). BH wants to thank the Innovative Medicine Initiative (IMI) for their invitation to contribute to this special issue. The OrBiTo project received support from the Innovative Medicines Initiative Joint Undertaking (http://www.imi.europa.eu) under Grant Agreement No. 115369, resources of which were composed of financial contribution from the European Union's Seventh Framework Program and EFPIA companies' in kind contribution.
Conflict of interest
BH and MM are employed by Pfizer UK. BA is employed by AstraZeneca. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
1.
AbrahamssonBMcAllisterMAugustijnsPZanePButlerJHolmRet al. Six years of progress in the oral biopharmaceutics area—A summary from the IMI OrBiTo project. Eur J Pharm Biopharm. (2020) 152:236–47. 10.1016/j.ejpb.2020.05.008
2.
KostewiczESAaronsLBergstrandMBolgerMBGaletinAHatleyOet al. PBPK models for the prediction of in vivo performance of oral dosage forms. Eur J Pharm Sci. (2014) 57:300–21. 10.1016/j.ejps.2013.09.008
3.
KostewiczESAbrahamssonBBrewsterMBrouwersJButlerJCarlertSet al. In vitro models for the prediction of in vivo performance of oral dosage forms. Eur J Pharm Sci. (2014) 57:342–66. 10.1016/j.ejps.2013.08.024
4.
BergströmCASHolmRJørgensenSAAnderssonSBEArturssonPBeatoSet al. Early pharmaceutical profiling to predict oral drug absorption: current status and unmet needs. Eur J Pharm Sci. (2014) 57:173–99. 10.1016/j.ejps.2013.10.015
5.
NyholmDAskmarkHGomes-TrolinCKnutsonTLennernäsHNyströmCet al. Optimizing levodopa pharmacokinetics: intestinal infusion versus oral sustained-release tablets. Clin Neuropharmacol. (2003) 26:156–63. 10.1097/00002826-200305000-00010
6.
NyholmDJohanssonAAquiloniusS-MHellquistELennernäsHAskmarkH. Complexity of motor response to different doses of duodenal levodopa infusion in Parkinson disease. Clin Neuropharmacol. (2012) 35:6–14. 10.1097/WNF.0b013e31823b1ffd
7.
NyholmDLennernäsHGomes-TrolinCAquiloniusS-M. Levodopa pharmacokinetics and motor performance during activities of daily living in patients with Parkinson's disease on individual drug combinations. Clin Neuropharmacol. (2002) 25:89–96. 10.1097/00002826-200203000-00006
8.
NyholmDLennernäsH. Irregular gastrointestinal drug absorption in Parkinson's disease. Expert Opin Drug Metab Toxicol. (2008) 4:193–203. 10.1517/17425255.4.2.193
9.
MargolskeeADarwichASPepinXAaronsLGaletinARostami-HodjeganAet al. IMI—Oral biopharmaceutics tools project—Evaluation of bottom-up PBPK prediction success part 2: an introduction to the simulation exercise and overview of results. Eur J Pharm Sci. (2017) 96:610–25. 10.1016/j.ejps.2016.10.036
10.
AndreasCJRosenbergerJButlerJAugustijnsPMcAllisterMAbrahamssonBet al. Introduction to the OrBiTo decision tree to select the most appropriate in vitro methodology for release testing of solid oral dosage forms during development. Eur J Pharm Biopharm. (2018) 130:207–13. 10.1016/j.ejpb.2018.07.003
11.
AmidonGLLennernäsHShahVPCrisonJR. A theoretical basis for a biopharmaceutic drug classification: the correlation of in vitro drug product dissolution and in vivo bioavailability. Pharm Res. (1995) 12:413–20. 10.1023/A:1016212804288
12.
LoftssonTBrewsterME. Pharmaceutical applications of cyclodextrins: basic science and product development. J Pharm Pharmacol. (2010) 62:1607–21. 10.1111/j.2042-7158.2010.01030.x
13.
KourentasAVertzoniMSymillidesMHensBBrouwersJAugustijnsPet al. In vitro evaluation of the impact of gastrointestinal transfer on luminal performance of commercially available products of posaconazole and itraconazole using BioGIT. Int J Pharm. (2016) 515:352–8. 10.1016/j.ijpharm.2016.10.018
14.
KourentasAVertzoniMStavrinoudakisNSymillidisABrouwersJAugustijnsPet al. An in vitro biorelevant gastrointestinal transfer (BioGIT) system for forecasting concentrations in the fasted upper small intestine: design, implementation, and evaluation. Eur J Pharm Sci. (2016) 82:106–14. 10.1016/j.ejps.2015.11.012
15.
ButlerJHensBVertzoniMBrouwersJBerbenPDressmanJet al. In vitro models for the prediction of in vivo performance of oral dosage forms: recent progress from partnership through the IMI OrBiTo collaboration. Eur J Pharm Biopharm. (2019) 136:70–83. 10.1016/j.ejpb.2018.12.010
16.
HensBCorsettiMSpillerRMarcianiLVanuytselTTackJet al. Exploring gastrointestinal variables affecting drug and formulation behavior: methodologies, challenges and opportunities. Int J Pharm. (2016) 59:79–97. 10.1016/j.ijpharm.2016.11.063
17.
AugustijnsPVertzoniMReppasCLangguthPLennernäsHAbrahamssonBet al. Unraveling the behavior of oral drug products inside the human gastrointestinal tract using the aspiration technique: history, methodology and applications. Eur J Pharm Sci. (2020) 155:105517. 10.1016/j.ejps.2020.105517
18.
BermejoMPaixãoPHensBTsumeYKoenigsknechtMJBakerJRet al. Linking the gastrointestinal behavior of ibuprofen with the systemic exposure between and within humans-part 1: fasted state conditions. Mol Pharm. (2018) 15:5454–67. 10.1021/acs.molpharmaceut.8b00515
19.
PaixãoPBermejoMHensBTsumeYDickensJSheddenKet al. Linking the gastrointestinal behavior of ibuprofen with the systemic exposure between and within humans-part 2: fed state. Mol Pharm. (2018) 15:5468–78. 10.1021/acs.molpharmaceut.8b00736
20.
RubbensJBrouwersJTackJAugustijnsP. Gastrointestinal dissolution, supersaturation and precipitation of the weak base indinavir in healthy volunteers. Eur J Pharm Biopharm. (2016) 109:122–9. 10.1016/j.ejpb.2016.09.014
21.
HéninEBergstrandMWeitschiesWKarlssonMO. Meta-analysis of magnetic marker monitoring data to characterize the movement of single unit dosage forms though the gastrointestinal tract under fed and fasting conditions. Pharm Res. (2016) 33:751–62. 10.1007/s11095-015-1824-x
22.
GrimmMScholzEKoziolekMKühnJ-PWeitschiesW. Gastric water emptying under fed state clinical trial conditions is as fast as under fasted conditions. Mol Pharm. (2017) 14:4262–71. 10.1021/acs.molpharmaceut.7b00623
23.
MudieDMMurrayKHoadCLPritchardSEGarnettMCAmidonGLet al. Quantification of gastrointestinal liquid volumes and distribution following a 240 mL dose of water in the fasted state. Mol Pharm. (2014) 11:3039–47. 10.1021/mp500210c
24.
KoziolekMGrimmMSchneiderFJedamzikPSagerMKühnJ-Pet al. Navigating the human gastrointestinal tract for oral drug delivery: uncharted waters and new frontiers. Adv Drug Deliv Rev. (2016) 101:75–88. 10.1016/j.addr.2016.03.009
25.
PalABrasseurJGAbrahamssonB. A stomach road or “Magenstrasse” for gastric emptying. J Biomech. (2007) 40:1202–10. 10.1016/j.jbiomech.2006.06.006
26.
HensBBolgerMB. Application of a dynamic fluid and pH model to simulate intraluminal and systemic concentrations of a weak base in GastroPlusTM. J Pharm Sci. (2019) 108:305–15. 10.1016/j.xphs.2018.10.041
27.
HensBPathakSMMitraAPatelNLiuBPatelSet al. In silico modeling approach for the evaluation of gastrointestinal dissolution, supersaturation, and precipitation of posaconazole. Mol Pharm. (2017) 14:4321–33. 10.1021/acs.molpharmaceut.7b00396
28.
KrishnaGMotonAMaLMedlockMMMcLeodJ. Pharmacokinetics and absorption of posaconazole oral suspension under various gastric conditions in healthy volunteers. Antimicrob Agents Chemother. (2009) 53:958–66. 10.1128/AAC.01034-08
29.
WalravensJBrouwersJSprietITackJAnnaertPAugustijnsP. Effect of pH and comedication on gastrointestinal absorption of posaconazole: monitoring of intraluminal and plasma drug concentrations. Clin Pharmacokinet. (2011) 50:725–34. 10.2165/11592630-000000000-00000
30.
FurunoJPTallmanGBNobleBNBubaloJSForrestGNLewisJSet al. Clinical outcomes of oral suspension versus delayed-release tablet formulations of posaconazole for prophylaxis of invasive fungal infections. Antimicrob Agents Chemother. (2018) 62:e00893–18. 10.1128/AAC.00893-18
31.
KrishnaGMaLMartinhoMO'MaraE. Single-dose phase I study to evaluate the pharmacokinetics of posaconazole in new tablet and capsule formulations relative to oral suspension. Antimicrob Agents Chemother. (2012) 56:4196–201. 10.1128/AAC.00222-12
32.
JungDSTverdekFPKontoyiannisDP. Switching from posaconazole suspension to tablets increases serum drug levels in leukemia patients without clinically relevant hepatotoxicity. Antimicrob Agents Chemother. (2014) 58:6993–5. 10.1128/AAC.04035-14
33.
PhamANBubaloJSLewisJS. Comparison of posaconazole serum concentrations from haematological cancer patients on posaconazole tablet and oral suspension for treatment and prevention of invasive fungal infections. Mycoses. (2016) 59:226–33. 10.1111/myc.12452
34.
HensBBrouwersJCorsettiMAugustijnsP. Supersaturation and precipitation of posaconazole upon entry in the upper small intestine in humans. J Pharm Sci. (2016) 105:2677–84. 10.1002/jps.24690
35.
HensBCorsettiMBrouwersJAugustijnsP. Gastrointestinal and systemic monitoring of posaconazole in humans after fasted and fed state administration of a solid dispersion. J Pharm Sci. (2016) 105:2904–12. 10.1016/j.xphs.2016.03.027
36.
HensBBermejoMTsumeYGonzalez-AlvarezIRuanHMatsuiKet al. Evaluation and optimized selection of supersaturating drug delivery systems of posaconazole (BCS class 2b) in the gastrointestinal simulator (GIS): an in vitro-in silico-in vivo approach. Eur J Pharm Sci. (2018) 115:258–69. 10.1016/j.ejps.2018.01.039
37.
ChinTWLoebMFongIW. Effects of an acidic beverage (Coca-Cola) on absorption of ketoconazole. Antimicrob Agents Chemother. (1995) 39:1671–5.
38.
Van Den AbeeleJBrouwersJDelooseETackJAugustijnsP. The effect of sparkling water on intraluminal formulation behavior and systemic drug performance. J Pharm Sci. (2017) 106:2472–82. 10.1016/j.xphs.2017.03.039
Summary
Keywords
IMI, EFPIA, oral biopharmaceutical tools, pharmacokinetic, oral absorption, patient health care, oral formulations
Citation
Hens B, Augustijns P, Lennernäs H, McAllister M and Abrahamsson B (2021) Leveraging Oral Drug Development to a Next Level: Impact of the IMI-Funded OrBiTo Project on Patient Healthcare. Front. Med. 8:480706. doi: 10.3389/fmed.2021.480706
Received
25 June 2019
Accepted
12 February 2021
Published
05 March 2021
Volume
8 - 2021
Edited by
Michel Goldman, Institute for Interdisciplinary Innovation in healthcare (I3h), Belgium
Reviewed by
Nicholas Ekow Thomford, University of Cape Coast, Ghana; Pietro Ghezzi, Brighton and Sussex Medical School, United Kingdom
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Copyright
© 2021 Hens, Augustijns, Lennernäs, McAllister and Abrahamsson.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Bart Hens bart.hens@pfizer.com
This article was submitted to Translational Medicine, a section of the journal Frontiers in Medicine
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