The DOI matches its Crossref record; 524 of the 524 references it cites were found in a registry or an index.
In vivo methods for drug absorption – Comparative physiologies, model selection, correlations with in vitro methods (IVIVC), and applications for formulation/API/excipient characterization including food effects
Abstract
This review summarizes the current knowledge on anatomy and physiology of the human gastrointestinal tract in comparison with that of common laboratory animals (dog, pig, rat and mouse) with emphasis on in vivo methods for testing and prediction of oral dosage form performance. A wide range of factors and methods are considered in addition, such as imaging methods, perfusion models, models for predicting segmental/regional absorption, in vitro in vivo correlations as well as models to investigate the effects of excipients and the role of food on drug absorption. One goal of the authors was to clearly identify the gaps in today's knowledge in order to stimulate further work on refining the existing in vivo models and demonstrate their usefulness in drug formulation and product performance testing.
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Cites
A human gut microbial gene catalogue established by metagenomic sequencing
MetaHIT Consortium, Qin, J., Li, R., Raes, J., Arumugam, M., Burgdorf, K. S., Manichanh, C., Nielsen, T., Pons, N., Levenez, F., et al. (2010) · Nature · doi:10.1038/nature08821 · Cited by 11,624
The Principles of Humane Experimental Technique
(1960) · Medical Journal of Australia · doi:10.5694/j.1326-5377.1960.tb73127.x · Cited by 4,912
Membrane transporters in drug development
The International Transporter Consortium, Giacomini, K. M., Huang, S.-M., Tweedie, D. J., Benet, L. Z., Brouwer, K. L. R., Chu, X., Dahlin, A., Evers, R., Fischer, V., et al. (2010) · Nature Reviews Drug Discovery · doi:10.1038/nrd3028 · Cited by 3,340
Physiological Parameters in Laboratory Animals and Humans
Davies, B., & Morris, T. (1993) · Pharmaceutical Research · doi:10.1023/a:1018943613122 · Cited by 2,926
Shimada, T., Yamazaki, H., Mimura, M., Inui, Y., & Guengerich, F. P. (1994) · The Journal of Pharmacology and Experimental Therapeutics · doi:10.1016/s0022-3565(25)22379-5 · Cited by 2,785
Cyclodextrin-based pharmaceutics: past, present and future
Davis, M. E., & Brewster, M. E. (2004) · Nature Reviews Drug Discovery · doi:10.1038/nrd1576 · Cited by 1,996
Self-citationStructure of P-Glycoprotein Reveals a Molecular Basis for Poly-Specific Drug Binding
Aller, S. G., Yu, J., Ward, A., Weng, Y., Chittaboina, S., Zhuo, R., Harrell, P. M., Trinh, Y. T., Zhang, Q., Urbatsch, I. L., et al. (2009) · Science · doi:10.1126/science.1168750 · Cited by 1,929
Martignoni, M., Groothuis, G. M. M., & de Kanter, R. (2006) · Expert Opinion on Drug Metabolism & Toxicology · doi:10.1517/17425255.2.6.875 · Cited by 1,478
Kararli, T. T. (1995) · Biopharmaceutics & Drug Disposition · doi:10.1002/bdd.2510160502 · Cited by 1,459
Wu, C.-Y., & Benet, L. Z. (2005) · Pharmaceutical Research · doi:10.1007/s11095-004-9004-4 · Cited by 1,401
Cited by
Hatton, G. B., Yadav, V., Basit, A. W., & Merchant, H. A. (2015) · Journal of Pharmaceutical Sciences · doi:10.1002/jps.24365 · Cited by 204
Berthelsen, R., Klitgaard, M., Rades, T., & Müllertz, A. (2019) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2019.06.010 · Cited by 111
Sjögren, E., Thörn, H., & Tannergren, C. (2016) · Molecular Pharmaceutics · doi:10.1021/acs.molpharmaceut.5b00861 · Cited by 98
Self-citationMalm-Erjefält, M., Ekblom, M., Vouis, J., Zdravkovic, M., & Lennernäs, H. (2015) · Molecular Pharmaceutics · doi:10.1021/acs.molpharmaceut.5b00278 · Cited by 36
Self-citationAlskär, L. C., Parrow, A., Keemink, J., Johansson, P., Abrahamsson, B., & Bergström, C. A. S. (2019) · Journal of Controlled Release · doi:10.1016/j.jconrel.2019.04.038 · Cited by 36
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Metadata
- Authors
- Sjögren, E., Abrahamsson, B., Augustijns, P., Becker, D., Bolger, M. B., Brewster, M., Brouwers, J., Flanagan, T., Harwood, M., Heinen, C., Holm, R., Juretschke, H.-P., Kubbinga, M., Lindahl, A., Lukacova, V., Münster, U., Neuhoff, S., Nguyen, M. A., Peer, A. V., Reppas, C., Hodjegan, A. R., Tannergren, C., Weitschies, W., Wilson, C., Zane, P., Lennernäs, H., & Langguth, P.
- Venue
- European Journal of Pharmaceutical Sciences
- Publisher
- Elsevier BV
- Published
- 2014-06
- Volume
- 57
- Pages
- 99-151
- ISSN
- 0928-0987 (ISSN-L)
- OpenAlex
- W2073430961
- Cited by
- 279
- References
- 524
- FWCI
- 16.84
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Sjögren, E., Abrahamsson, B., Augustijns, P., Becker, D., Bolger, M. B., Brewster, M., Brouwers, J., Flanagan, T., Harwood, M., Heinen, C., Holm, R., Juretschke, H.-P., Kubbinga, M., Lindahl, A., Lukacova, V., Münster, U., Neuhoff, S., Nguyen, M. A., Peer, A. V., . . . Langguth, P. (2014). In vivo methods for drug absorption – Comparative physiologies, model selection, correlations with in vitro methods (IVIVC), and applications for formulation/API/excipient characterization including food effects. European Journal of Pharmaceutical Sciences. https://doi.org/10.1016/j.ejps.2014.02.010
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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