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Cited by 673

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Human P-glycoprotein transports cortisol, aldosterone, and dexamethasone, but not progesterone.

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Ueda, K, Okamura, N, Hirai, M, Tanigawara, Y, Saeki, T, Kioka, N, Komano, T, Hori, R·1992·Journal of Biological Chemistry

Abstract

We expressed human MDR1 cDNA isolated from the human adrenal gland in porcine LLC-PK1 cells. A highly polarized epithelium formed by LLC-GA5-COL300 cells that expressed human P-glycoprotein specifically on the apical surface showed a multidrug-resistant phenotype and had 8.3-, 3.4-, and 6.5-fold higher net basal to apical transport of 3H-labeled cortisol, aldosterone, and dexamethasone, respectively, compared with host cells. But progesterone was not transported, although it inhibited azidopine photoaffinity labeling of human P-glycoprotein and increased the sensitivity of multidrug-resistant cells to vinblastine. An excess of progesterone inhibited the transepithelial transport of cortisol by P-glycoprotein. These results suggest that cortisol and aldosterone are physiological substrates for P-glycoprotein in the human adrenal cortex and that substances that efficiently bind to P-glycoprotein are not necessarily transported by P-glycoprotein.

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Metadata

Authors
Ueda, K., Okamura, N., Hirai, M., Tanigawara, Y., Saeki, T., Kioka, N., Komano, T., & Hori, R.
Venue
Journal of Biological Chemistry
Publisher
Elsevier BV
Published
1992-12
Volume
267
Issue
34
Pages
24248-24252
ISSN
0021-9258 (ISSN-L)
OpenAlex
W1526872663
Cited by
673
References
0
FWCI
10.62
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Human P-glycoprotein transports cortisol, aldosterone, and dexamethasone, but not progesterone. https://app.cochat.ai/papers/10.1016/s0021-9258(18)35757-0
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Ueda, K., Okamura, N., Hirai, M., Tanigawara, Y., Saeki, T., Kioka, N., Komano, T., & Hori, R. (1992). Human P-glycoprotein transports cortisol, aldosterone, and dexamethasone, but not progesterone. Journal of Biological Chemistry. https://doi.org/10.1016/s0021-9258(18)35757-0

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.