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Contribution of the α 1 -Acid Glycoprotein in Drug Pharmacokinetics: The Usefulness of α 1 -Acid Glycoprotein-Knockout Mice.

Hiroshi WatanabeHiroshi WatanabeTadashi ImafukuIssei FujitaYuto GanahaToru TakeoNaomi NakagataHitoshi MaedaToru Maruyama
Published in: Molecular pharmaceutics (2024)
α 1 -Acid glycoprotein (AGP) is a primary binding protein for many basic drugs in plasma. The number of drugs that bind to AGP, such as molecular target anticancer drugs, has been continuously increasing. Since the plasma level of AGP fluctuates under various pathological conditions such as inflammation, it is important to evaluate the contribution of AGP to drug pharmacokinetics. Here, we generated conventional AGP-knockout (AGP-KO) mice and used them to evaluate the contribution of AGP. The pharmacokinetics of drugs that bind to two AGP variants (F1*S or A variants) or albumin were evaluated. Imatinib (a F1*S-binding drug) and disopyramide (an A-binding drug) or ibuprofen (an albumin-binding drug) were administered to wild-type (WT) and AGP-KO. The plasma level of imatinib and disopyramide decreased rapidly in AGP-KO as compared to WT. In AGP-KO, AUC and t 1/2 were decreased, then C L tot was increased. Compared with disopyramide, imatinib pharmacokinetics showed more marked changes in AGP-KO as compared to WT. The results seemed to be due to the difference in plasma level of each AGP variant (F1*S:A = 2-3:1). No differences were observed in ibuprofen pharmacokinetics between the WT and AGP-KO mice. In vitro experiments using plasma from WT and AGP-KO showed that unbound fractions of imatinib and disopyramide were higher in AGP-KO. These results suggest that the rapid elimination of imatinib and disopyramide in AGP-KO could be due to decreased protein binding to AGP. Taken together, the AGP-KO mouse could be a potential animal model for evaluating the contribution of AGP to the pharmacokinetics of various drugs.
Keyphrases
  • binding protein
  • wild type
  • type diabetes
  • drug induced
  • oxidative stress
  • gene expression
  • risk assessment
  • insulin resistance
  • dna binding
  • climate change
  • quantum dots
  • genome wide
  • protein protein
  • postoperative pain