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UDP glucurononosyltransferases (UGT) are a superfamily of enzymes that catalyse the conjugation of a range of structurally diverse drugs, environmental and endogenous chemicals with glucuronic acid. This process plays a significant role in the clearance and detoxification of many chemicals. Over the last decade the regulation and substrate profiles of UGT isoforms have been increasingly characterised. The resulting data has facilitated the prototyping of ligand based in silico models capable of predicting, and gaining insights into, binding affinity and the substrate- and regio- selectivity of glucuronidation by UGT isoforms. Pharmacophore modelling has produced particularly insightful models and quantitative structure-activity relationships based on machine learning algorithms result in accurate predictions. Simple structural chemical descriptors were found to capture much of the chemical information relevant to UGT metabolism. However, quantum chemical properties of molecules and the nucleophilic atoms in the molecule can enhance both the predictivity and chemical intuitiveness of structure-activity models. Chemical diversity analysis of known substrates has shown some bias towards chemicals with aromatic and aliphatic hydroxyl groups. Future progress in in silico development will depend on larger and more diverse high quality metabolic datasets. Furthermore, improved protein structure data on UGTs will enable the application of structural modelling techniques likely leading to greater insight into the binding and reactive processes of UGT catalysed glucuronidation.

There is currently little information regarding the localization of UDP-glucuronosyltransferases (UGTs) in human renal cortex and medulla, and the functional contribution of renal UGTs to drug glucuronidation remains poorly defined. Using human kidney sections and human kidney cortical microsomes (HKCM) and human kidney medullary microsomes (HKMM), we combined immunohistochemistry to investigate UGT1A and UGT2B7 expression with in vitro microsomal studies to determine the kinetics of S-naproxen acyl glucuronidation. With the exception of the glomerulus, Bowman's capsule, and renal vasculature, UGT1A proteins and UGT2B7 were expressed throughout the proximal and distal convoluted tubules, the loops of Henle, and the collecting ducts. Additionally, UGT1A and UGT2B7 expression was demonstrated in the macula densa, supporting a potential role of UGTs in regulating aldosterone. Consistent with the immunohistochemical data, S-naproxen acyl glucuronidation was catalyzed by HKCM and HKMM. Kinetic data were well described by the two-enzyme Michaelis-Menten equation. K(m) values for the high-affinity components were 34 +/- 14 muM (HKCM) and 45 +/- 14 muM (HKMM). Fluconazole inhibited the high-affinity component establishing UGT2B7 as the enzyme responsible for S-naproxen glucuronidation in cortex and medulla. The low-affinity component was relatively unaffected by fluconazole (<15% inhibition), supporting the presence of other UGTs with S-naproxen glucuronidation capacity (e.g., UGT1A6 and UGT1A9) in cortex and medulla. We postulate that the ubiquitous distribution of UGTs in mammalian kidney may buffer physiological responses to endogenous mediators, but at the same time competitive xenobiotic-endobiotic interactions may provide an explanation for the adverse renal effects of drugs, including nonsteroidal anti-inflammatory drugs.

The article discusses issues and topics related to inter-patient variability in drug effects. The wide inter-individual variability in response is a feature of many drugs and there is increasing awareness of the necessity for individualization of therapy. According to researchers, when inter-patient variability is taken into account, optimized dosage regimens may differ dramatically between patients. INSET: Nomenclature of drug-metabolising enzymes.

Studies were performed to investigate the UDP-glucuronosyltransferase enzyme(s) responsible for the human liver microsomal N2-glucuronidation of the anticonvulsant drug lamotrigine (LTG) and the mechanistic basis for the LTG-valproic acid (VPA) interaction in vivo. LTG N2-glucuronidation by microsomes from five livers exhibited atypical kinetics, best described by a model comprising the expressions for the Hill (1869 ± 1286 µM, n = 0.65 ± 0.16) and Michaelis-Menten (Km 2234 ± 774 µM) equations. The UGT1A4 inhibitor hecogenin abolished the Michaelis-Menten component, without affecting the Hill component. LTG N2-glucuronidation by recombinant UGT1A4 exhibited Michaelis-Menten kinetics, with a Km of 1558 µM. Although recombinant UGT2B7 exhibited only low activity toward LTG, inhibition by zidovudine and fluconazole and activation by bovine serum albumin (BSA) (2%) strongly suggested that this enzyme was responsible for the Hill component of microsomal LTG N2-glucuronidation. VPA (10 mM) abolished the Hill component of microsomal LTG N2-glucuronidation, without affecting the Michaelis-Menten component or UGT1A4-catalyzed LTG metabolism. Ki values for inhibition of the Hill component of LTG N2-glucuronidation by VPA were 2465 ± 370 µM and 387 ± 12 µM in the absence and presence, respectively, of BSA (2%). Consistent with published data for the effect of fluconazole on zidovudine glucuronidation by human liver microsomal UGT2B7, the Ki value generated in the presence of BSA predicted the magnitude of the LTG-VPA interaction reported in vivo. These data indicate that UGT2B7 and UGT1A4 are responsible for the Hill and Michaelis-Menten components, respectively, of microsomal LTG N2-glucuronidation, and the LTG-VPA interaction in vivo arises from inhibition of UGT2B7.

Relatively few selective substrate and inhibitor probes have been identified for human UDP-glucuronosyltransferases (UGTs). This work investigated the selectivity of trifluoperazine (TFP), as a substrate, and amitriptyline, androsterone, canrenoic acid, hecogenin, phenylbutazone, quinidine, quinine, and sulfinpyrazone, as inhibitors, for human UGTs. Selectivity was assessed using UGTs 1A1, 1A3, 1A4, 1A6, 1A7, 1A8, 1A9, 1A10, 2B7, and 2B15 expressed in HEK293 cells. TFP was confirmed as a highly selective substrate for UGT1A4. However, TFP bound extensively to both HEK293 lysate and human liver microsomes in a concentration-dependent manner (fuinc 0.20–0.59). When corrected for nonspecific binding, Km values for TFP glucuronidation were similar for both UGT1A4 (4.1 µM) and human liver microsomes (6.1 ± 1.2 µM) as the enzyme sources. Of the compounds screened as inhibitors, hecogenin, alone, was selective; significant inhibition was observed only for UGT1A4 (IC50 1.5 µM). Using phenylbutazone and quinine as "models," inhibition kinetics were variously described by competitive and noncompetitive mechanisms. Inhibition of UGT2B7 by quinidine was also investigated further, because the effects of this compound on morphine pharmacokinetics (a known UGT2B7 substrate) have been ascribed to inhibition of P-glycoprotein. Quinidine inhibited human liver microsomal and recombinant UGT2B7, with respective Ki values of 335 ± 128 µM and 186 µM. In conclusion, TFP and hecogenin represent selective substrate and inhibitor probes for UGT1A4, although the extensive nonselective binding of the former should be taken into account in kinetic studies. Amitriptyline, androsterone, canrenoic acid, hecogenin, phenylbutazone, quinidine, quinine, and sulfinpyrazone are nonselective UGT inhibitors.

Tolbutamide undergoes hydroxylation in humans via a cytochrome P450-mediated pathway. The primary P450 isozyme responsible for this metabolism is thought to be CYP2C9. Population studies have indicated the existence of slow metabolizers of tolbutamide (~1 in 500) suggesting a rare polymorphism associated with 2C9. Several allelic variants of 2C9 have been identified; however, the effect of these allelic variations on metabolism in vivo is not established. In the present study, the coding regions, intron-exon junctions, and upstream region of CYP2C9 were amplified by PCR and sequenced in two slow metabolizers. One individual was homozygous for Leu359/Leu359and the other individual was heterozygous for ArgCys144and for Ile359/Leu359. No other genetic variations in 2C9 were detected in these individuals. PCR-RFLP tests showed that Arg144Tyr358Ile359Gly417is the principle CYP2C9 allele. Frequencies of the rarer Leu359and Cys144alleles were 0.06 and 0.08, respectively, in a Caucasian-American population and 0.005 and 0.01 respectively in African-Americans. The frequency of the Leu359allele was 0.026 in Chinese-Taiwanese, but the Cys144allele was not detected in this population. Studies in a recombinant yeast expression system showed that the Leu359variant had the highest Km and the lowest Vmac for hydroxylation of tolbutamide of all the CYP2C9 allelic variants. This allelic variant also had the highest Km for the 7-hydroxylation of S-warfarin. The present data suggest that the incidence of the Leu359allelic variant of CFP2C9 may account for the occurrence of poor metabolizers of tolbutamide.

Increasing concern about caffeine as a drug with potential for abuse has resulted in the development of procedures for effecting reductions in caffeine consumption among heavy users. However, the reliability of reported findings may be questioned, since previous studies have relied on subject self-report as the principal measure of caffeine use. The present study employed bioanalytic methods for assessing the reliability of self-reported caffeine intake during a caffeine-fading regime. Twelve subjects, each with a history of heavy caffeine use, provided baseline, treatment, and follow-up blood samples which were assayed for caffeine and its major metabolites. General support was provided for the reliability of self-report as a measure of caffeine consumption. The general efficacy of caffeine fading was also supported, although there were indications that maintenance effects may have been over-estimated in previous studies.

The inhibitory effects of fifteen NSAIDs from six structurally distinct classes on human liver microsomal morphine glucuronidation were investigated. Kivalues of selected NSAIDs were generated and employed to assess DDI liability in vivo. Potent inhibition was observed for mefenamic acid and tolfenamic acid; respective IC50values for morphine 3- and 6-glucuronidation were 9.2 and 13.5 μM, and 5.3 and 8.3 μM. Diclofenac and celecoxib showed moderate inhibition with IC50values of 78 and 52 μM, and 83 and 214 μM, respectively. Estimated IC50values for the other NSAIDs screened were >100 μM. Mefenamic acid, diclofenac, and S-naproxen competitively inhibited morphine 3- and 6-glucuronidation, with the Kivalues of 11 and 12 μM, 110 and 76 μM, and 319 and 650 μM, respectively. Using the static mechanistic IVIVE approach, an approximate 40% increase in the AUC of morphine was predicted when co-administered with mefenamic acid, whereas the increase was <10% with diclofenac and S-naproxen. PBPK modeling predicted <15% increases in the morphine AUC from diclofenac and S-naproxen inhibition in virtual healthy and cirrhotic subjects. The data suggest that potential clinically significant DDIs arising from NSAID inhibition of morphine glucuronidation is unlikely, with the possible exception of some fenamates.