The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Relationship between the effects of food on the pharmacokinetics of oral antineoplastic drugs and their physicochemical properties
Abstract
Background: Food is known to affect drug absorption by delaying gastric emptying time, altering gastrointestinal pH, stimulating bile flow, increasing splanchnic blood flow, or physically interacting with drugs. Although food is known to affect the pharmacokinetics of oral antineoplastic drugs, the relationship between the effects of food and the physicochemical properties of drugs remains unclear. Methods: In this study, we surveyed the literature on three kinds of pharmacokinetic changes, AUC ratio, C max ratio and T max ratio, in the fasted and fed state for 72 oral antineoplastic drugs that were listed on the drug price standard in May 2018 in Japan. We further predicted the physicochemical properties from the 2D chemical structure of the antineoplastic drugs using in silico predictions. Results: As a result of analyzing the relationship between the effects of food and physicochemical properties, we found that compounds that show increased absorption in the fed state had higher logP and lower solubility in fasted-state simulated intestinal fluid (FaSSIF). However, compounds with delayed absorption had higher solubility in FaSSIF. Furthermore, as a result of decision tree analysis, it was classified as AUC increase with logP ≥4.34. We found that an AUC increase in the fed state did not occur with compounds with low lipid solubilities (logP < 1.59). From these results, it is predicted that 7 compounds out of the 24 compounds for which the effects of food are unknown are at risk for increased absorption in the fed state and that no increase in absorption would occur in 13 compounds. Conclusion: In this study, we found that drugs that will show increased absorption in the fed state and drugs for which absorption is not dependent on food can generally be predicted by logP. These results suggest that logP can be a useful parameter for predicting the effects of food on drug absorption.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Meals affect drug absorption by delaying gastric emptying time, altering gastrointestinal pH, stimulating bile flow, or physically interacting with drugs [48].”
From Food Administration and Not Genetic Variants Causes Pharmacokinetic Variability of Tadalafil and Finasteride (2023) · cites this paper as [48]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Charman, W. N., Porter, C. J. H., Mithani, S., & Dressman, J. B. (1997) · Journal of Pharmaceutical Sciences · doi:10.1021/js960085v · Cited by 617
Research works printed but not linked: 23
- Peter G. Welling. Influence of food and diet on gastrointestinal drug absorption. J Pharmacokinet Biopharm. 1977;5:291–334. · DOI · Paper page
- Pater G. Welling.Effect of food on drug absorption. Pharmac Ther. 1989;43:425–41. · DOI
- van de Waterbeemd H, Testa B, Mannhold R, Kubinyi H, Folkers G. Drug bioavailability: estimation of solubility, permeability, absorption and bioavailability. Weinheim: Wiley-VCH GmbH & Co.; 2009. p. 523–58.
- Devriese LA, Koch KM, Mergui-Roelvink M, Matthys GM, Ma WW, Robidoux A, Stephenson JJ, Chu QS, Orford KW, Cartee L, Botbyl J, Arya N, Schellens JH. Effects of low-fat and high-fat meals on steady-state pharmacokinetics of lapatinib in patients with advanced solid tumours. Investig New Drugs. 2014;32:481–8. · DOI
- Amidon GL, Lennernäs H, Shah VP, Crison JR. A theoretical basis for a biopharmaceutic drug classification: the correlation of in vitro drugproduct dissolution and in vivo bioavailability. Pharm Res. 1995;12:413–20. · DOI · Paper page
- Fleisher D, Li C, Zhou Y, Pao LH, Karim A. Drug, meal and formulation interactions influencing drug absorption after oral administration. Clinical implications. Clin Pharmacokinet. 1999;36:233–54. · DOI · Paper page
- Wu CY, Benet LZ. Predicting drug disposition via application of BCS: transport/absorption/elimination interplay and development of a biopharmaceutics drug disposition classification system. Pharm Res. 2005;22:11–23. · DOI · Paper page
- Gu CH, Li H, Levons J, Lentz K, Gandhi RB, Raghavan K, Smith RL. Predicting effect of food on extent of drug absorption based on physicochemical properties. Pharm Res. 2007;24:1118–30. · DOI
- List of Approved Products. PMDA,Tokyo, 2019. https://www.pmda.go.jp/english/review-services/reviews/approved-information/drugs/0002.html. Accessed 3 Sept 2019.
- Parsad S, Ratain MJ. Food effect studies for oncology drug products. Clin Pharmacol Ther. 2017;101:606–12. · DOI
- Urabe A, Shimada K, Kawai S. Today’s drug therapy in 2018. Tokyo: Nankodo Co. Ltd; 2018. p. 183. [in Japanese]
- Singh BN, Malhotra BK. Effects of food on the clinical pharmacokinetics of anticancer agents. Clin Pharmacokinet. 2004;43:1127–56. · DOI
- Jain RK, Brar SS, Lesko LJ. Food and Oral Antineoplastics: more than meets the eye. Clin Cancer Res. 2010;16:4305–7. · DOI
- Ruggiero A, Cefalo MG, Coccia P, Mastrangelo S, Maurizi P, Riccardi R. The role of diet on the clinical pharmacology of oral antineoplastic agents. Eur J Clin Pharmacol. 2012;68:115–22. · DOI
- Jantratid E, Janssen N, Reppas C, Dressman JB. Dissolution media simulating conditions in the proximal human gastrointestinal tract: an update. Pharm Res. 2008;25:1663–75. · DOI · Paper page
- Gamsiz ED, Ashtikar M, Crison J, Woltosz W, Bolger MB, Carrier RL. Predicting the effect of fed-state intestinal contents on drug dissolution. Pharm Res. 2010;27:264. · DOI
- Widmer N, Bardin C, Chatelut E, Paci A, Beijnen J, Levêque D, Veal G, Astier A. Review of therapeutic drug monitoring of anticancer drugs part two--targeted therapies. Eur J Cancer. 2014;50:2020–36. · DOI · Paper page
- Mithani SD, Bakatselou V, TenHoor CN, Dressman JB. Estimation of the increase in solubility of drugs as a function of bile salt concentration. Pharm Res. 1996;13:163–7. · DOI · Paper page
- Lipinski CA, Lombardo F, Dominy BW, Feeney PJ. Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. Adv Drug Deliv Rev. 2001;46:3–26. · DOI · Paper page
- Winiwarter S, Bonham NM, Ax F, Hallberg A, Lennernäs H, Karlén A. Correlation of human jejunal permeability (in vivo) of drugs with experimentally and theoretically.Derived parameters. A multivariate data analysis approach. J Med Chem. 1998;41:4939–49. · DOI
- Artursson P, Karlsson J. Correlation between oral drug absorption in humans and apparent drug permeability coefficients in human intestinal epithelial (Caco-2) cells. Biochem Biophys Res Commun. 1991;175:880–5. · DOI · Paper page
- Takagi T, Ramachandran C, Bermejo M, Yamashita S, Yu LX, Amidon GL. A provisional biopharmaceutical classification of the top 200 oral drug products in the United States, Great Britain, Spain, and Japan. Mol Pharm. 2006;3:631–43. · DOI · Paper page
- Heimbach T, Xia B, Lin TH, He H. Case studies for practical food effect assessments across BCS/BDDCS class compounds using in silico, in vitro, and preclinical in vivo data. AAPS J. 2013;15:143–58. · DOI
Cited by
Villapalos-García, G., Zubiaur, P., Marián-Revilla, C., Soria-Chacartegui, P., Navares-Gómez, M., Mejía-Abril, G., Rodríguez-Lopez, A., González-Iglesias, E., Martín-Vílchez, S., Román, M., et al. (2023) · Journal of Personalized Medicine · doi:10.3390/jpm13111566 · Cited by 4
Won, H., Yoon, D. Y., Lee, S., Cho, J., Oh, J., Jang, I., Yoo, S., & Yu, K. (2024) · Clinical and Translational Science · doi:10.1111/cts.13744 · Cited by 3
Metadata
- Authors
- Omachi, F., Kaneko, M., Iijima, R., Watanabe, M., & Itagaki, F.
- ORCID
- Itagaki, Fumio
- Venue
- Journal of Pharmaceutical Health Care and Sciences
- Published
- 2019-12
- Volume
- 5
- Issue
- 1
- ISSN
- 2055-0294
- Cited by
- 30
- References
- 1
- Language
- en
- Licence
- creativecommons.org/licenses/by/4.0/ (tdm)
- creativecommons.org/licenses/by/4.0/ (vor, 2 d)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.