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Human P-glycoprotein differentially affects antidepressant drug transport: relevance to blood–brain barrier permeability

Overview of attention for article published in The International Journal of Neuropsychopharmacology, November 2013
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Title
Human P-glycoprotein differentially affects antidepressant drug transport: relevance to blood–brain barrier permeability
Published in
The International Journal of Neuropsychopharmacology, November 2013
DOI 10.1017/s1461145713000692
Pubmed ID
Authors

Fionn E. O'Brien, Gerard Clarke, Timothy G. Dinan, John F. Cryan, Brendan T. Griffin

Abstract

The pharmacological concept that inhibition of the drug efflux pump P-glycoprotein (P-gp) enhances brain distribution of the antidepressant imipramine in the rat has recently been demonstrated. To determine if these findings are relevant to humans, the present study investigated if imipramine is a transported substrate of human P-gp. Furthermore, additional experiments were carried out to determine if findings in relation to imipramine and human P-gp would apply to other antidepressants from a range of different classes. To this end, bidirectional transport experiments were carried out in the ABCB1-transfected MDCKII-MDR1 cell line. Transported substrates of human P-gp are subjected to net efflux in this system, exhibiting a transport ratio (TR) ≥ 1.5, and directional efflux is attenuated by co-incubation of a P-gp inhibitor. Imipramine was identified as a transported substrate of human P-gp (TR = 1.68, attenuated by P-gp inhibition). However, the antidepressants amitriptyline, duloxetine, fluoxetine and mirtazapine were not transported substrates of human P-gp (TR ≤ 1.16 in all cases). These results offer insight into the role of P-gp in the distribution of antidepressants, revealing that rodent findings pertaining to imipramine may translate to humans. Moreover, the present results highlight that other antidepressants may not be transported substrates of human P-gp.

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Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Ireland 1 2%
Unknown 58 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 17%
Student > Ph. D. Student 8 13%
Other 5 8%
Researcher 4 7%
Professor > Associate Professor 4 7%
Other 10 17%
Unknown 19 32%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 11 18%
Medicine and Dentistry 8 13%
Agricultural and Biological Sciences 7 12%
Neuroscience 3 5%
Psychology 3 5%
Other 5 8%
Unknown 23 38%