The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Transporters and drug therapy: Implications for drug disposition and disease
Abstract
The efficacy of drug therapy results from the complex interplay of multiple processes that govern drug disposition and response. Most studies to date have focused on the contribution of drug-metabolizing enzymes to the drug disposition process. However, over the past decade, it has become increasingly apparent that carrier-mediated processes, or transporters, also play critical roles in the overall disposition of numerous drugs in clinical use. In addition to their roles in xenobiotic transport, drug transporters often mediate important physiologic functions via transport of endogenous substrates such as amino acids, bile acids, and hormones that are critical for maintenance of normal homeostasis. In this review we focus on the emerging field of transporter proteins in relation to the drug disposition process, with particular emphasis on clinical implications of transporters to drug-drug interactions and subsequent development of adverse effects, interindividual variability in drug response, and human disease.
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.
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
The sequence of the human genome
Venter, J. C., Adams, M. D., Myers, E. W., Li, P. W., Mural, R. J., Sutton, G. G., Smith, H. O., Yandell, M., Evans, C. A., Holt, R. A., et al. (2001) · Science · doi:10.1126/science.1058040 · Cited by 13,909
Mutations in ABC1 in Tangier disease and familial high-density lipoprotein deficiency
Brooks-Wilson, A., Marcil, M., Clee, S. M., Zhang, L.-H., Roomp, K., van Dam, M., Yu, L., Brewer, C., Collins, J. A., Molhuizen, H. O. F., et al. (1999) · Nature Genetics · doi:10.1038/11905 · Cited by 1,687
Multiple Rare Alleles Contribute to Low Plasma Levels of HDL Cholesterol
Cohen, J. C., Kiss, R. S., Pertsemlidis, A., Marcel, Y. L., McPherson, R., & Hobbs, H. H. (2004) · Science · doi:10.1126/science.1099870 · Cited by 1,108
Fattinger, K. (2001) · Clinical Pharmacology & Therapeutics · doi:10.1067/mcp.2001.114667 · Cited by 509
Coordinate transcriptional regulation of bile acid homeostasis and drug metabolism
Eloranta, J. J., & Kullak-Ublick, G. A. (2005) · Archives of Biochemistry and Biophysics · doi:10.1016/j.abb.2004.09.019 · Cited by 260
Cited by
Risk Factors for Idiosyncratic Drug-Induced Liver Injury
Chalasani, N., & Björnsson, E. (2010) · Gastroenterology · doi:10.1053/j.gastro.2010.04.001 · Cited by 347
Predicting Clearance Mechanism in Drug Discovery: Extended Clearance Classification System (ECCS)
Varma, M. V., Steyn, S. J., Allerton, C., & El-Kattan, A. F. (2015) · Pharmaceutical Research · doi:10.1007/s11095-015-1749-4 · Cited by 334
PBPK modelling of inter-individual variability in the pharmacokinetics of environmental chemicals
Bois, F. Y., Jamei, M., & Clewell, H. J. (2010) · Toxicology · doi:10.1016/j.tox.2010.06.007 · Cited by 194
Huang, Q., & Riviere, J. E. (2014) · Expert Opinion on Drug Metabolism & Toxicology · doi:10.1517/17425255.2014.934671 · Cited by 149
Sundaram, V., & Björnsson, E. S. (2017) · Hepatology Communications · doi:10.1002/hep4.1088 · Cited by 138
Impact of genetic variation in OATP transporters to drug disposition and response
Gong, I. Y., & Kim, R. B. (2013) · Drug Metabolism and Pharmacokinetics · doi:10.2133/dmpk.dmpk-12-rv-099 · Cited by 137
Self-citationCiprofloxacin and Rifampin have opposite effects on levothyroxine absorption
Goldberg, A. S., Tirona, R. G., Asher, L. J., Kim, R. B., & Van Uum, S. H. M. (2013) · Thyroid · doi:10.1089/thy.2013.0014 · Cited by 25
Self-citation
Metadata
- Authors
- HO, R., & KIM, R.
- Venue
- Clinical Pharmacology & Therapeutics
- Publisher
- Wiley
- Published
- 2005-09
- Volume
- 78
- Issue
- 3
- Pages
- 260-277
- ISSN
- 0009-9236 (ISSN-L)
- OpenAlex
- W1992237854
- Cited by
- 502
- References
- 5
- FWCI
- 15.97
- Type
- journal article
- Language
- en
- Open access
- closed
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.