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John O Miners

Publications and source records attributed to John O Miners.

At least 19 recordsLinked to original sources
PubMed2007

Characterisation of the binding of cationic amphiphilic drugs to phospholipid bilayers using surface plasmon resonance.

The interactions of three cationic amphiphilic drugs (CPZ, AMI, PROP) with phospholipid vesicles comprising DOPC, DMPC, or DSPC were investigated using surface plasmon resonance (SPR). Responses for CAD concentrations in the range 15.625 to 1500 microM were measured. The greatest uptake by each phospholipid bilayer occurred with CPZ. Inclusion of CAD concentrations between 750 and 1500 microM provided evidence for a second nonsaturable binding process, which may arise from intercalation of the drugs within the lipid bilayer. CAD binding was additionally shown to be dependent on membrane fluidity. Responses were initially fitted over a concentration range of 15.625 to 500 microM using a model which incorporated terms for a saturable binding site. This yielded very poor values of K(D) and nonsensible values of saturation responses. Subsequently, responses were fit to the expression for a model which incorporated terms for both a saturable binding site and second nonsaturable site. Measurable binding affinities (K(D) values ranged from 170 to 814 microM) were obtained for DOPC and DMPC bilayers which are similar to values reported previously. This work demonstrates that SPR studies with synthetic phospholipid bilayers provide a potentially useful approach for characterising drug-membrane binding interactions and for providing insight into the processes that contribute to drug-membrane binding.

Algorithms↗
PubMed2006

Amino terminal domains of human UDP-glucuronosyltransferases (UGT) 2B7 and 2B15 associated with substrate selectivity and autoactivation.

Despite the important role of UDP-glucuronosyltransferases (UGT) in the metabolism of drugs, environmental chemicals and endogenous compounds, the structural features of these enzymes responsible for substrate binding and selectivity remain poorly understood. Since UGT2B7 and UGT2B15 exhibit distinct, but overlapping, substrate selectivities, UGT2B7-UGT2B15 chimeras were constructed here to identify substrate binding domains. A UGT2B7-15-7 chimera that incorporated amino acids 61-194 of UGT2B15 glucuronidated the UGT2B15 substrates testosterone and phenolphthalein, but not the UGT2B7 substrates zidovudine and 11alpha-hydroxyprogesterone. Derived apparent K(m) values for testosterone and phenolphthalein glucuronidation by UGT2B7-15((61-194))-7 were similar in magnitude to those determined for UGT2B15. Moreover, glucuronidation of the non-selective substrate 4-methylumbelliferone (4MU) by UGT2B7-15((61-194))-7 and UGT2B15 followed Michaelis-Menten and weak substrate inhibition kinetics, respectively, whereas 4MU glucuronidation by UGT2B7 exhibited sigmoidal kinetics characteristic of autoactivation. Six UGT2B7-15-7 chimeras that incorporated smaller domains of UGT2B15 were subsequently generated. Of these, UGT2B7-15((61-157))-7, UGT2B7-15((91-157))-7 and UGT2B7-15((61-91))-7 glucuronidated 4MU, but activity towards the other substrates investigated here was not detected. Like UGT2B7, the UGT2B7-15((61-157))-7, UGT2B7-15((91-157))-7 and UGT2B7-15((61-91))-7 chimeras exhibited sigmoidal 4MU glucuronidation kinetics. The sigmoidal 4MU kinetic data were well modelled using both the Hill equation and the expression for a two-site model that assumes the simultaneous binding of two substrate molecules at equivalent sites. It may be concluded that residues 61-194 of UGT2B15 are responsible for substrate binding and for conferring the unique substrate selectivity of UGT2B15, while residues 158-194 of UGT2B7 appear to facilitate the binding of multiple 4MU molecules within the active site.

Amino Acid Motifs↗
PubMed2006

Quality of requests for serum digoxin concentrations: experience from an Australian regional health service.

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT: * Therapeutic drug monitoring of serum digoxin concentrations (SDC) is considered useful in enhancing the therapeutic benefits of digoxin and minimizing the incidence of adverse drug reactions. * The quality of requests for SDC has been reported to be generally unsatisfactory. However, studies have focused on few information parameters. * A better knowledge of these issues might be useful to target appropriate areas of weakness within heathcare systems. WHAT THIS STUDY ADDS: * The poor quality of the information in SDC requests involves a wide range of codes from the contact details of the requester to the time interval between the last dose of digoxin and blood sampling. * Misuse of the therapeutic drug monitoring service is common across different specialties and healthcare settings. AIMS: To assess the quality of the information provided with serum digoxin concentration (SDC) requests received by a therapeutic drug monitoring service in a regional health service. METHODS: We conducted a retrospective audit of a consecutive series of 685 SDC requests during a 7-month period. Information regarding (i) contact details, (ii) reasons for request, (iii) dose, (iv) route of administration, (v) concurrent therapy, (vi) treatment duration and (vii) time interval between the last dose and sampling was reviewed and coded as appropriate or inappropriate/missing. Data were analysed according to the origin of request, i.e. from different specialties/wards (emergency department and critical care, cardiology and coronary care unit, medicine and aged care, surgery, and general/private practice) and healthcare settings (teaching hospital, geriatric hospital and general/private practice). RESULTS: The quality of SDC requests was generally poor across different specialties and healthcare settings. The information provided for the coded parameters was appropriate only in 19.1% (i), 6.4% (ii), 54.7% (iii), 45.8% (iv), 12.8% (v), 32.9% (vi) and 47.1% (vii) of cases. No SDC request was complete in all the information codes. SDC requests from general/private practice lacked more often details regarding the dose (information provided in 46.7% of requests, P = 0.007 vs. other specialties; P = 0.02 vs. other settings) and the route of administration (20.0%, P < 0.001 vs. other specialties and vs. other settings). SDC requests from the emergency department and critical care unit lacked more often details regarding the treatment duration (22.6%, P < 0.001 vs. other specialties) and the time interval between the last dose and blood sampling (40.1%, P = 0.01 vs. other specialties). CONCLUSIONS: The quality of the information in SDC requests is poor across different specialties and healthcare settings. Educational strategies to ensure the appropriate use of this service are urgently needed.

Anti-Arrhythmia Agents↗
PubMed2006

Sulfinpyrazone C-glucuronidation is catalyzed selectively by human UDP-glucuronosyltransferase 1A9.

The uricosuric agent sulfinpyrazone (SFZ) is metabolized via C-glucuronidation, an uncommon metabolic pathway, in humans. The present study aimed to characterize SFZ glucuronidation by human liver microsomes (HLMs) and identify the hepatic forms of UDP-glucuronosyltransferase responsible for this pathway. Incubations of SFZ with HLMs formed a single glucuronide that was resistant to beta-glucuronidase and acid hydrolysis, consistent with formation of a C-glucuronide. Mass spectral analysis confirmed the identity of the metabolite as SFZ glucuronide (sulfinpyrazone beta-D-glucuronide; SFZG). SFZ C-glucuronidation by HLMs exhibited Michaelis-Menten kinetics, with mean (+/- S.D.) Km and Vmax values of 51 +/- 21 microM and 2.6 +/- 0.6 pmol/min . mg, respectively. Fifteen recombinant human UDP-glucuronosyltransferases (UGTs), expressed in HEK293 cells, were screened for their capacity to catalyze SFZ C-glucuronidation. Of the hepatically expressed enzymes, only UGT1A9 formed SFZG. UGTs 1A7 and 1A10, which are expressed in the gastrointestinal tract, also metabolized SFZ, but rates of metabolism were low compared with UGT1A9. SFZ glucuronidation by UGT1A9 exhibited "weak" negative cooperative kinetics, which was modeled by the Hill equation (S50 16 microM). The data indicate that UGT1A9 is the enzyme responsible for hepatic SFZ C-glucuronidation and that SFZ may be used as a substrate "probe" for UGT1A9 activity in HLMs.

Catalysis↗
PubMed2006

In vitro characterization of lamotrigine N2-glucuronidation and the lamotrigine-valproic acid interaction.

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 microM, n = 0.65 +/- 0.16) and Michaelis-Menten (Km 2234 +/- 774 microM) 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 microM. 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 microM and 387 +/- 12 microM 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.

Anticonvulsants↗
PubMed2006

In vitro-in vivo correlation for drugs and other compounds eliminated by glucuronidation in humans: pitfalls and promises.

Enzymes of the UDP-glucuronosyltransferase (UGT) superfamily are responsible for the metabolism of many drugs, environmental chemicals and endogenous compounds. Identification of the UGT(s) involved in the metabolism of a given compound ('reaction phenotyping') currently relies on multiple confirmatory approaches, which may be confounded by the dependence of UGT activity on enzyme source, incubation conditions, and the occurrence of atypical glucuronidation kinetics. However, the increasing availability of substrate and inhibitor 'probes' for the individual UGTs provides the prospect for reliable phenotyping of glucuronidation reactions using human liver microsomes or hepatocytes, thereby providing data directly relevant to drug metabolism in humans. While the feasibility of computational prediction of UGT substrate selectivity has been demonstrated, the development of easily interpretable and generalisable models requires further improvement in the datasets available for analysis. Quantitative prediction of the hepatic clearance of glucuronidated drugs and the magnitude of inhibitory interactions based on in vitro kinetic data is more problematic. Intrinsic clearance (CL(int)) values generated using human liver microsomes under-predict in vivo hepatic clearance, typically by an order of magnitude. In vivo clearances of glucuronidated drugs are also generally under-predicted by CL(int) values from human hepatocytes, but to a lesser extent than observed with the microsomal model. While it is anticipated that systematic analysis of the potential causes of under-prediction may provide more reliable in vitro-in vivo scaling strategies, mechanistic interpretation of in vitro-in vivo correlation more broadly awaits further advances in our understanding of the structural and cellular determinants of UGT activity.

Glucuronides↗
PubMed2006

Quantitative prediction of macrolide drug-drug interaction potential from in vitro studies using testosterone as the human cytochrome P4503A substrate.

OBJECTIVE: Macrolide antibiotics are mechanism-based inactivators of CYP3A enzymes that exhibit varying degrees of inhibitory potency. Our aim was to predict quantitatively the drug-drug interaction (DDI) potential of five macrolides from in vitro studies using testosterone as the CYP3A substrate, and to compare the predictions generated from human liver microsomal and recombinant CYP3A4 data. METHODS: The in vitro kinetic constants of CYP3A inactivation (K (I) and k (inact)) were estimated by varying the time of pre-incubation and the concentration of troleandomycin, erythromycin, clarithromycin, roxithromycin or azithromycin. CYP3A activity was determined from the measurement of testosterone 6beta-hydroxylation with human liver microsomes (HLM) and recombinant CYP3A4 as the enzyme sources. The mechanism-based pharmacokinetic model was fitted with inactivation data to predict the increase in oral area under the plasma concentration-time curve (AUC) for midazolam. RESULTS: All five macrolides inactivated testosterone 6beta-hydroxylation by HLM and recombinant CYP3A4 with k (inact) values in the range of 0.023 to 0.058 min(-1). The potency of inactivation (K (I)) was higher using recombinant CYP3A4 as the enzyme source. The oral AUCs for midazolam were predicted from HLM data to increase 16.6, 5.3, 4.6, 1.6 and 1.2-fold due to the inhibition of metabolic clearance by troleandomycin, erythromycin, clarithromycin, roxithromycin and azithromycin, respectively. These results are within the range of the AUC ratios reported for clinical DDI studies. The predicted AUC increases generated using recombinant CYP3A4 overestimated the magnitude of the DDIs. CONCLUSIONS: The DDI potential of five macrolide antibiotics was quantitatively predicted from in vitro studies using testosterone as the CYP3A substrate with HLM as the enzyme source.

Algorithms↗
PubMed2006

Relationship between hyperbilirubinaemia and UDP-glucuronosyltransferase 1A1 (UGT1A1) polymorphism in adult HIV-infected Thai patients treated with indinavir.

OBJECTIVES: To investigate the association between the UGT1A1*6 (G71R) and UGT1A1*28 (promoter (TA)7-repeat) genotypes and hyperbilirubinaemia in Thai patients treated with indinavir, and characterize the inhibition of human UGTs by indinavir in vitro. METHODS: Ninety-six Thai HIV patients receiving indinavir, 800 mg t.i.d. or 800 mg b.i.d. "boosted" with ritonavir (100 mg b.i.d.), had serum bilirubin levels measured to 24 weeks post-treatment and were genotyped for UGT1A1*6 and UGT1A1*28. The inhibition selectivity and kinetics of indinavir were determined using a panel of recombinant human UGTs. RESULTS: UGT1A1*6 and UGT1A1*28 frequencies in the Thai patients were 10.4% and 15.6%, respectively. Total, conjugated (direct) and unconjugated (indirect) serum bilirubin concentrations increased significantly at 24 weeks of indinavir treatment for all four genotypes, with a trend towards higher levels depending on the number of UGT1A1 mutant alleles; *6/*28 > *6 > *28 > reference. The hazards ratio (HR) for serious hyperbilirubinaemia (total bilirubin > 2.5 mg/dl) at week 24 was statistically significant only in those patients carrying the UGT1A1*6 (HR 2.87) and UGT1A1*6/*28 (HR 11.42) genotypes. The Ki values for indinavir inhibition of UGT1A1 and UGT1A1*6 were 4.1 and 10.7 mumol/l respectively. However, indinavir was also shown to inhibit other human UGTs, notably UGT1A3 and UGT1A7. CONCLUSIONS: In contrast to Caucasian HIV-infected patients treated with indinavir, the promoter polymorphism (UGT1A1*28) is of less significance than the coding region (UGT1A1*6) mutation as a risk factor for hyperbilirubinaemia. The Ki values determined for indinavir inhibition of UGT1A1 are consistent with an interaction in vivo, with an additive effect in patients with already impaired bilirubin glucuronidation activity.

Adult↗
PubMed2006

Quantitative prediction of in vivo inhibitory interactions involving glucuronidated drugs from in vitro data: the effect of fluconazole on zidovudine glucuronidation.

AIMS: Using the fluconazole-zidovudine (AZT) interaction as a model, to determine whether inhibition of UDP-glucuronosyltransferase (UGT) catalysed drug metabolism in vivo could be predicted quantitatively from in vitro kinetic data generated in the presence and absence bovine serum albumin (BSA). METHODS: Kinetic constants for AZT glucuronidation were generated using human liver microsomes (HLM) and recombinant UGT2B7, the principal enzyme responsible for AZT glucuronidation, as the enzyme sources with and without fluconazole. K(i) values were used to estimate the decrease in AZT clearance in vivo. RESULTS: Addition of BSA (2%) to incubations decreased the K(m) values for AZT glucuronidation by 85-90% for the HLM (923 +/- 357 to 91 +/- 9 microm) and UGT2B7 (478-70 microm) catalysed reactions, with little effect on V(max). Fluconazole, which was shown to be a selective inhibitor of UGT2B7, competitively inhibited AZT glucuronidation by HLM and UGT2B7. Like the K(m), BSA caused an 87% reduction in the K(i) for fluconazole inhibition of AZT glucuronidation by HLM (1133 +/- 403 to 145 +/- 36 microm) and UGT2B7 (529 to 73 microm). K(i) values determined for fluconazole using HLM and UGT2B7 in the presence (but not absence) of BSA predicted an interaction in vivo. The predicted magnitude of the interaction ranged from 41% to 217% of the reported AUC increase in patients, depending on the value of the in vivo fluconazole concentration employed in calculations. CONCLUSIONS: K(i) values determined under certain experimental conditions may quantitatively predict inhibition of UGT catalysed drug glucuronidation in vivo.

Alamethicin↗
PubMed2006

An evaluation of potential mechanism-based inactivation of human drug metabolizing cytochromes P450 by monoamine oxidase inhibitors, including isoniazid.

AIMS: To characterize potential mechanism-based inactivation (MBI) of major human drug-metabolizing cytochromes P450 (CYP) by monoamine oxidase (MAO) inhibitors, including the antitubercular drug isoniazid. METHODS: Human liver microsomal CYP1A2, CYP2C9, CYP2C19, CYP2D6 and CYP3A activities were investigated following co- and preincubation with MAO inhibitors. Inactivation kinetic constants (KI and kinact) were determined where a significant preincubation effect was observed. Spectral studies were conducted to elucidate the mechanisms of inactivation. RESULTS: Hydrazine MAO inhibitors generally exhibited greater inhibition of CYP following preincubation, whereas this was less frequent for the propargylamines, and tranylcypromine and moclobemide. Phenelzine and isoniazid inactivated all CYP but were most potent toward CYP3A and CYP2C19. Respective inactivation kinetic constants (KI and kinact) for isoniazid were 48.6 microm and 0.042 min-1 and 79.3 microm and 0.039 min-1. Clorgyline was a selective inactivator of CYP1A2 (6.8 microm and 0.15 min-1). Inactivation of CYP was irreversible, consistent with metabolite-intermediate complexation for isoniazid and clorgyline, and haeme destruction for phenelzine. With the exception of phenelzine-mediated CYP3A inactivation, glutathione and superoxide dismutase failed to protect CYP from inactivation by isoniazid and phenelzine. Glutathione partially slowed (17%) the inactivation of CYP1A2 by clorgyline. Alternate substrates or inhibitors generally protected against CYP inactivation. CONCLUSIONS: These data are consistent with mechanism-based inactivation of human drug-metabolizing CYP enzymes and suggest that impaired metabolic clearance may contribute to clinical drug-drug interactions with some MAO inhibitors.

Aryl Hydrocarbon Hydroxylases↗
PubMed2006

Non-selective nonsteroidal anti-inflammatory drugs and cardiovascular events: is aldosterone the silent partner in crime?

Non-selective nonsteroidal anti-inflammatory drugs (NSAIDs) have long been known to cause gastrointestinal and renal toxicity. More recently, adverse cardiovascular effects have been associated with the selective COX-2 inhibitors. However, current studies that show an increased cardiovascular risk with non-selective NSAIDs raise the question of the exclusive contribution of COX-2 to this type of toxicity. Aldosterone, a key cardiovascular hormone, can induce deleterious effects, such as myocardial fibrosis and vascular stiffening. Non-selective NSAIDs inhibit the metabolism of aldosterone in vitro by human renal tissue, predicating an increased plasma aldosterone concentration in vivo. The question remains whether inhibition of aldosterone metabolism by non-selective NSAIDs is a casual or causal factor in NSAID-induced cardiovascular toxicity.

Aldosterone↗
PubMed2005

Selectivity of substrate (trifluoperazine) and inhibitor (amitriptyline, androsterone, canrenoic acid, hecogenin, phenylbutazone, quinidine, quinine, and sulfinpyrazone) "probes" for human udp-glucuronosyltransferases.

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 microM) and human liver microsomes (6.1+/-1.2 microM) as the enzyme sources. Of the compounds screened as inhibitors, hecogenin, alone, was selective; significant inhibition was observed only for UGT1A4 (IC50 1.5 microM). 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 microM and 186 microM. 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.

Cell Line↗
PubMed2005

Nomenclature update for the mammalian UDP glycosyltransferase (UGT) gene superfamily.

Several novel UDP glycosyltransferase (UGT) genes, mainly UDP glucuronosyltransferases, have been identified in the human, mouse and rat genomes and in other mammalian species. This review provides an update of the UGT nomenclature to include these new genes and prevent the confusion that arises when the same gene is given different names. The new genes are named following previously established recommendations, taking into consideration evolutionary relatedness and the names already in general usage in the literature. The mammalian UGT gene superfamily currently has 117 members that can be divided into four families, UGT1, UGT2, UGT3 and UGT8. The 5-exon genes of the UGT1 family each contain a unique first exon, plus four exons that are shared between the genes; the exons 1 appear to have evolved by a process of duplication, leading to the synthesis of proteins with identical carboxyl-terminal and variable amino-terminal domains. Exon-sharing is also seen with the 6-exon UGT2A1 and UGT2A2 genes. However, UGT2A3 and those of the UGT2B (six exons), UGT3 (seven exons) and UGT8 gene families (five or six exons) do not share exons and most likely were derived by a process of duplication of all exons in the gene. Most UGT1 and UGT8 enzymes have been characterized in detail; however, the catalytic functions of the UGT3A enzymes and several UGT2 enzymes remain to be characterized.

Animals↗
PubMed2005

S-Naproxen and desmethylnaproxen glucuronidation by human liver microsomes and recombinant human UDP-glucuronosyltransferases (UGT): role of UGT2B7 in the elimination of naproxen.

AIMS: To characterize the kinetics of S-naproxen ('naproxen') acyl glucuronidation and desmethylnaproxen acyl and phenolic glucuronidation by human liver microsomes and identify the human UGT isoform(s) catalysing these reactions. METHODS: Naproxen and desmethylnaproxen glucuronidation were investigated using microsomes from six and five livers, respectively. Human recombinant UGTs were screened for activity towards naproxen and desmethylnaproxen. Where significant activity was observed, kinetic parameters were determined. Naproxen and desmethylnaproxen glucuronides were measured by separate high-performance liquid chromatography methods. RESULTS: Naproxen acyl glucuronidation by human liver microsomes followed biphasic kinetics. Mean apparent K(m) values (+/-SD, with 95% confidence interval in parentheses) for the high- and low-affinity components were 29 +/- 13 microm (16, 43) and 473 +/- 108 microm (359, 587), respectively. UGT 1A1, 1A3, 1A6, 1A7, 1A8, 1A9, 1A10 and 2B7 glucuronidated naproxen. UGT2B7 exhibited an apparent K(m) (72 microm) of the same order as the high-affinity human liver microsomal activity, which was inhibited by the UGT2B7 selective 'probe' fluconazole. Although data for desmethylnaproxen phenolic glucuronidation by human liver microsomes were generally adequately fitted to either the single- or two-enzyme Michaelis-Menten equation, model fitting was inconclusive for desmethylnaproxen acyl glucuronidation. UGT 1A1, 1A7, 1A9 and 1A10 catalysed both the phenolic and acyl glucuronidation of desmethylnaproxen, while UGT 1A3, 1A6 and 2B7 formed only the acyl glucuronide. Atypical glucuronidation kinetics were variably observed for naproxen and desmethylnaproxen glucuronidation by the recombinant UGTs. CONCLUSION: UGT2B7 is responsible for human hepatic naproxen acyl glucuronidation, which is the primary elimination pathway for this drug.

Glucuronosyltransferase↗
PubMed2005

Novel mechanisms of nonsteroidal anti-inflammatory drug-induced renal toxicity.

The exact mechanism(s) of NSAID-induced nephrotoxicity remains unclear, but most theories centre on the initial inhibition of COX and the subsequent perturbation of the numerous actions of COX in the kidney. Since the nineteenth century no NSAIDs have been developed that are devoid of renal adverse effects, including the COX-2 selective inhibitors. Formation of renal eicosanoids from arachidonic acid is significantly increased in the presence of various stimuli, and metabolic degradation of arachidonic acid and its biologically active metabolites is crucial to the maintenance of renal homeostatic mechanisms. An important family of enzymes that function in this capacity are the uridine 5'-diphosphate glucuronosyltransferases (UGTs) that variously metabolise arachidonic acid and its metabolites. This review focuses on arachidonic acid and its biologically active metabolites and their respective fates subsequent to COX inhibition by NSAIDs. The common involvement of UGT in the metabolism of arachidonic acid, eicosanoids and NSAIDs is discussed in the context of novel mechanisms of NSAID-induced nephrotoxicity.

Animals↗
PubMed2004

Rapid prediction of chemical metabolism by human UDP-glucuronosyltransferase isoforms using quantum chemical descriptors derived with the electronegativity equalization method.

This study aimed to evaluate in silico models based on quantum chemical (QC) descriptors derived using the electronegativity equalization method (EEM) and to assess the use of QC properties to predict chemical metabolism by human UDP-glucuronosyltransferase (UGT) isoforms. Various EEM-derived QC molecular descriptors were calculated for known UGT substrates and nonsubstrates. Classification models were developed using support vector machine and partial least squares discriminant analysis. In general, the most predictive models were generated with the support vector machine. Combining QC and 2D descriptors (from previous work) using a consensus approach resulted in a statistically significant improvement in predictivity (to 84%) over both the QC and 2D models and the other methods of combining the descriptors. EEM-derived QC descriptors were shown to be both highly predictive and computationally efficient. It is likely that EEM-derived QC properties will be generally useful for predicting ADMET and physicochemical properties during drug discovery.

Electricity↗