We previously demonstrated that cannabidiol (CBD) was a potent mechanism-based inhibitor of human cytochrome P450 1A1 (CYP1A1). However, the moiety of CBD that contributes to the potent mechanism-based inhibition of human CYP1A1 remains unknown. Thus, the effects of compounds structurally related to CBD on CYP1A1 activity were examined with recombinant human CYP1A1 in order to characterize the structural requirements for potent inactivation by CBD. When preincubated in the presence of NADPH for 20min, olivetol, which corresponds to the pentylresorcinol moiety of CBD, enhanced the inhibition of the 7-ethoxyresorufin O-deethylase activity of CYP1A1. In contrast, d-limonene, which corresponds to the terpene moiety of CBD, failed to inhibit CYP1A1 activity in a metabolism-dependent manner. Pentylbenzene, which lacks two free phenolic hydroxyl groups, also did not enhance CYP1A1 inhibition. On the other hand, preincubation of the CBD-2'-monomethyl ether (CBDM) and CBD-2',6'-dimethyl ether (CBDD) enhanced the inhibition of CYP1A1 activity. Inhibition by cannabidivarin (CBDV), which possessed a propyl side chain, was strongly potentiated by its preincubation. Orcinol, which has a methyl group, augmented CYP1A1 inhibition, whereas its derivative without an alkyl side chain, resorcinol, did not exhibit any metabolism-dependent inhibition. The preincubation of CBD-hydroxyquinone did not markedly enhance CYP1A1 inhibition. We further confirmed that olivetol, CBDM, CBDD, CBDV, and orcinol, as well as CBD (kinact=0.215min(-1)), inactivated CYP1A1 activity; their kinact values were 0.154, 0.0638, 0.0643, 0.226, and 0.0353min(-1), respectively. These results suggest that the methylresorcinol structure in CBD may have structurally important roles in the inactivation of CYP1A1.
In this paper we describe a new way to perform heuristic evaluations, which allows multiple evaluators to easily compare and combine the results of their reviews. This method was developed to provide a single, reliable, result to the client, but it also allowed us to easily negotiate differences in our findings, and to prioritize usability problems identified by the evaluation. An unexpected side effect is that, by using this evaluation method, the practitioner can measure and predict the effect of usability improvements.
This paper documents a consistent and considerable evaluator effect in the ratings of usability problem severity carried out by experienced usability professionals. The CUE-9 study, conducted in 2011, showed a reasonable level of rater agreement in problem identification, but the severity assigned to problems varied wildly from "not a problem" to "disaster". This paper documents the variations we observed and the need for a better rating scale and better training. The paper calls for more caution when using extreme ratings. Our results also show that simple attempts to fix the traditional rating scales may not work.
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