Skip to main content
Log in

Physiologically Based Absorption Modeling of Salts of Weak Bases Based on Data in Hypochlorhydric and Achlorhydric Biorelevant Media

  • Research Article
  • Theme: Advancements in Dissolution Testing of Oral and Non-Oral Formulations
  • Published:
AAPS PharmSciTech Aims and scope Submit manuscript

Abstract

Physiologically based absorption modeling has been attracting increased attention to study the interactions of weakly basic drug compounds with acid-reducing agents like proton-pump inhibitors and H2 blockers. Recently, standardized gastric and intestinal biorelevant media to simulate the achlorhydric and hypochlorhydric stomach were proposed and solubility and dissolution data for two model compounds were generated. In the current manuscript, for the first time, we report the utility of these recently proposed biorelevant media as input into physiologically based absorption modeling. Where needed, data collected with the biorelevant gastrointestinal transfer (BioGIT) system were used for informing the simulations in regard to the precipitation kinetics. Using two model compounds, a HCl salt and a semi-fumarate co-crystal which as expected dissolve to a greater extent in these media (and in gastric and intestinal human aspirates) compared to what the pH–solubility profile of the free form would suggest, we demonstrate successful description of the plasma concentration profiles and correctly predicted the lack of significant interaction after administration with pantoprazole or famotidine, respectively. Thus, the data reported in this manuscript represent an initial step towards defining biorelevant input for such simulations on interactions with acid-reducing agents.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Mitra A, Kesisoglou F, Beauchamp M, Zhu W, Chiti F, Wu Y. Using absorption simulation and gastric pH modulated dog model for formulation development to overcome achlorhydria effect. Mol Pharm. 2011;8(6):2216–23.

    Article  CAS  PubMed  Google Scholar 

  2. Bhattachar SN, Perkins EJ, Tan JS, Burns LJ. Effect of gastric pH on the pharmacokinetics of a BCS class II compound in dogs: utilization of an artificial stomach and duodenum dissolution model and GastroPlus™ simulations to predict absorption. J Pharm Sci. 2011;100(11):4756–65.

    Article  CAS  PubMed  Google Scholar 

  3. Chung J, Alvarez-Nunez F, Chow V, Daurio D, Davis J, Dodds M, et al. Utilizing physiologically based pharmacokinetic modeling to inform formulation and clinical development for a compound with pH-dependent solubility. J Pharm Sci. 2015;104(4):1522–32. https://doi.org/10.1002/jps.24339.

    Article  CAS  PubMed  Google Scholar 

  4. Parrott NJ, Yu LJ, Takano R, Nakamura M, Morcos PN. Physiologically based absorption modeling to explore the impact of food and gastric pH changes on the pharmacokinetics of alectinib. AAPS J. 2016;18(6):1464–74.

    Article  CAS  PubMed  Google Scholar 

  5. FARYDAK®. Clinical pharmacology and biopharmaceutics review(s). https://www.accessdata.fda.gov/drugsatfda_docs/nda/2015/205353Orig1s000ClinPharmR.pdf. Accessed on 06 Dec 2017.

  6. Cristofoletti R, Patel N, Dressman JB. Assessment of bioequivalence of weak base formulations under various dosing conditions using physiologically based pharmacokinetic simulations in virtual populations. Case examples: ketoconazole and posaconazole. J Pharm Sci. 2017;106(2):560–9.

    Article  CAS  PubMed  Google Scholar 

  7. Lu T, Fraczkiewicz G, Salphati L, Budha N, Dalziel G, Smelick GS, et al. Combining “bottom-up” and “top-down” approaches to assess the impact of food and gastric pH on pictilisib (GDC-0941) pharmacokinetics. CPT Pharmacometrics Syst Pharmacol. 2017;6:747–55. https://doi.org/10.1002/psp4.12228.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Seiler D, Doser K, Salem I. Relative bioavailability of prasugrel free base in comparison to prasugrel hydrochloride in the presence and in the absence of a proton pump inhibitor. Arzneimittelforschung. 2011;61(4):247–51.

    Article  CAS  PubMed  Google Scholar 

  9. Doki K, Darwich AS, Patel N, Rostami-Hodjegan A. Virtual bioequivalence for achlorhydric subjects: the use of PBPK modelling to assess the formulation-dependent effect of achlorhydria. Eur J Pharm Sci. 2017;109:111–20.

    Article  CAS  PubMed  Google Scholar 

  10. Litou C, Vertzoni M, Xu W, Kesisoglou F, Reppas C. The impact of reduced gastric acid secretion on dissolution of salts of weak bases in the fasted upper gastrointestinal lumen: data in biorelevant media and in human aspirates. Eur J Pharm Biopharm. 2017;115:94–101. https://doi.org/10.1016/j.ejpb.2017.02.009.

    Article  CAS  PubMed  Google Scholar 

  11. Kourentas A, Vertzoni M, Stavrinoudakis N, Symillidis A, Brouwers J, Augustijns P, et 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. https://doi.org/10.1016/j.ejps.2015.11.012.

    Article  CAS  PubMed  Google Scholar 

  12. Markopoulos C, Andreas C, Vertzoni M, Dressman J, Reppas C. In-vitro simulation of luminal conditions for evaluation of performance of oral drug products: choosing the appropriate test media. Eur J Pharm Biopharm. 2015;93:173–82.

    Article  CAS  PubMed  Google Scholar 

  13. Kesisoglou F, Mitra A. Application of absorption modeling in rational design of drug product under quality-by-design paradigm. AAPS J. 2015;17(5):1224–36. https://doi.org/10.1208/s12248-015-9781-1.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Tsume Y, Amidon GL, Takeuchi S. Dissolution effect of gastric and intestinal pH for a BCS class II drug, pioglitazone: new in vitro dissolution system to predict in vivo dissolution. J Bioequiv Availab. 2013;5(6):224–7.

    Article  CAS  Google Scholar 

  15. Ding X, Gueorguieva I, Wesley JA, Burns LJ, Coutant CA. Assessment of in vivo clinical product performance of a weak basic drug by integration of in vitro dissolution tests and physiologically based absorption modeling. AAPS J. 2015;17(6):1395–406.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Litou C, Vertzoni M, Goumas C, Vasdekis V, Xu W, Kesisoglou F, et al. Characteristics of the human upper gastrointestinal contents in the fasted state under hypo- and a-chlorhydric gastric conditions under conditions of typical drug-drug interaction studies. Pharm Res. 2016;33(6):1399–412.

    Article  CAS  PubMed  Google Scholar 

  17. Kostewicz ES, Aarons L, Bergstrand M, Bolger MB, Galetin A, Hatley O, et al. PBPK models for the prediction of in vivo performance of oral dosage forms. Eur J Pharm Sci. 2014;57:300–21. https://doi.org/10.1016/j.ejps.2013.09.008.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

Authors would like to thank Ms. Chara Litou for her contribution to the BioGIT experiments. Part of the work presented in this manuscript was presented at the annual EDAN meeting, Leuven, Belgium, 11–13 March 2018.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Filippos Kesisoglou.

Additional information

Guest Editor: Sandra Klein

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kesisoglou, F., Vertzoni, M. & Reppas, C. Physiologically Based Absorption Modeling of Salts of Weak Bases Based on Data in Hypochlorhydric and Achlorhydric Biorelevant Media. AAPS PharmSciTech 19, 2851–2858 (2018). https://doi.org/10.1208/s12249-018-1059-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1208/s12249-018-1059-3

KEY WORDS

Navigation