The DOI matches its Crossref record.
Rational Use of in Vitro P-glycoprotein Assays in Drug Discovery
Abstract
P-glycoprotein (Pgp) affects the absorption, distribution, and clearance of a variety of compounds. Thus, identification of compounds that are Pgp substrates can aid drug candidate selection and optimization. Our goal was to evaluate three assays used to determine whether compounds are Pgp substrates. Sixty-six compounds were tested in monolayer efflux, ATPase, and calcein-AM assays. Assay results yielded two categories of compounds. Category I (n = 35) exhibited concordance across the assays. Category II (n = 31) revealed differences among the assays that related to the apparent permeability (P(app)) of the compounds. Within category II, two groups were discerned based on the absence (group IIA, n = 10, nontransported substrates) or presence (group IIB, n = 21, transported substrates) of monolayer efflux. Detection of efflux (group IIB) was associated with compounds having low/moderate P(app) values (mean = 16.6 nm/s), whereas inability to detect efflux (group IIA) was associated with compounds having high P(app) values (mean = 535 nm/s). The calcein-AM and ATPase assays revealed Pgp interactions for highly permeable group IIA compounds but were less responsive than monolayer efflux for low/moderate P(app) compounds of group IIB. All assays detected substrates across a broad range of P(app), but the efflux assay was more prone to fail at high P(app), whereas the calcein-AM and ATPase assays were more prone to fail at low P(app). When P(app) is low, efflux is a greater factor in the disposition of Pgp substrates. The efflux assay is more reliable at low/moderate P(app) and is the method of choice for evaluating drug candidates despite low throughput and reliance on liquid chromatography with tandem mass spectrometry.
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
Cited by
Discovering the anticancer potential of non-oncology drugs by systematic viability profiling
Corsello, S. M., Nagari, R. T., Spangler, R. D., Rossen, J., Kocak, M., Bryan, J. G., Humeidi, R., Peck, D., Wu, X., Tang, A. A., et al. (2020) · Nature Cancer · doi:10.1038/s43018-019-0018-6 · Cited by 878
Reconstitution of Membrane Proteins in Phospholipid Bilayer Nanodiscs
Ritchie, T. K., Grinkova, Y. V., Bayburt, T. H., Denisov, I. G., Zolnerciks, J. K., Atkins, W. M., & Sligar, S. G. (2009) · Methods in Enzymology · doi:10.1016/s0076-6879(09)64011-8 · Cited by 872
The Caco-2 cell monolayer: usefulness and limitations
Sun, H., Chow, E. C., Liu, S., Du, Y., & Pang, K. S. (2008) · Expert Opinion on Drug Metabolism & Toxicology · doi:10.1517/17425255.4.4.395 · Cited by 527
Impact of Drug Transporter Studies on Drug Discovery and Development
Mizuno, N., Niwa, T., Yotsumoto, Y., & Sugiyama, Y. (2003) · Pharmacological Reviews · doi:10.1124/pr.55.3.1 · Cited by 490
Modulation of P-glycoprotein efflux pump: induction and activation as a therapeutic strategy
Silva, R., Vilas-Boas, V., Carmo, H., Dinis-Oliveira, R. J., Carvalho, F., de Lourdes Bastos, M., & Remião, F. (2015) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2014.11.013 · Cited by 339
Metadata
- Authors
- Polli, J. W., Wring, S. A., Humphreys, J. E., Huang, L., Morgan, J. B., Webster, L. O., & Serabjit-Singh, C. S.
- Venue
- The Journal of Pharmacology and Experimental Therapeutics
- Publisher
- Elsevier BV
- Published
- 2001-11
- Volume
- 299
- Issue
- 2
- Pages
- 620-628
- ISSN
- 0022-3565 (ISSN-L)
- OpenAlex
- W2158245905
- Cited by
- 662
- References
- 0
- FWCI
- 9.91
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Rational Use of in Vitro P-glycoprotein Assays in Drug Discovery. https://app.cochat.ai/papers/10.1016/s0022-3565(24)29270-3
- The paper
- Polli, J. W., Wring, S. A., Humphreys, J. E., Huang, L., Morgan, J. B., Webster, L. O., & Serabjit-Singh, C. S. (2001). Rational Use of in Vitro P-glycoprotein Assays in Drug Discovery. The Journal of Pharmacology and Experimental Therapeutics. https://doi.org/10.1016/s0022-3565(24)29270-3
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.