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Quantitative prediction of intestinal glucuronidation of drugs in rats using in vitro metabolic clearance data. | LitMetric

AI Article Synopsis

  • UGT enzymes in the small intestine play a crucial role in drug metabolism, impacting how well drugs are absorbed in the body.
  • The study examined the relationship between the fraction of drug absorbed (F(a)F(g)) and the in vitro clearance of nine UGT substrates in rats, finding a range of absorption values.
  • An inverse correlation was established between F(a)F(g) and UGT clearance, leading to a predictive model that could enhance methods for estimating drug absorption in humans.

Article Abstract

UDP-glucuronosyltransferase (UGT) is highly expressed in the small intestine and catalyzes the glucuronidation of small molecules, which may affect the oral bioavailability of drugs. However, no method of predicting the in vivo observed fraction of absorbed drug (F(a)F(g)) affected by UGT has yet been established. Here, we investigated the relationship between F(a)F(g) and in vitro clearance of nine UGT substrates (ketoprofen, tolcapone, telmisartan, raloxifene, entacapone, resveratrol, buprenorphine, quercetin, and ezetimibe) via UGT in intestinal microsomes (CL(int, UGT)) in rats. F(a)F(g) was calculated from pharmacokinetic parameters after intravenous and oral administration or using the portal-systemic concentration difference method, with values ranging from 0.027 (ezetimibe) to 1 (tolcapone). Glucuronides of model compounds were observed in the portal plasma after oral administration, with CL(int, UGT) values ranging from 57.8 (tolcapone) to 19,200 µL/min/mg (resveratrol). An inverse correlation between F(a)F(g) and CL(int, UGT) was observed for most compounds and was described using a simplified intestinal availability model reported previously. This model gave accurate predictions of F(a)F(g) values for three in-house compounds. Our results show that F(a)F(g) in rats is affected by UGT and can be predicted using CL(int, UGT). This work should hasten the development of a method to predict F(a)F(g) in humans.

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Source
http://dx.doi.org/10.2133/dmpk.dmpk-11-rg-088DOI Listing

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