Biomedical subjects

Jose M Vega

Publications and source records attributed to Jose M Vega.

7 recordsLinked to original sources

PubMed2006

Metabolism and disposition of a potent and selective GABA-Aalpha2/3 receptor agonist in healthy male volunteers.

[14C]7-(1,1-Dimethylethyl)-6-(2-ethyl-2H-1,2,4-triazol-3-ylmethoxy)-3-(2-fluorophenyl)-1,2,4-triazolo[4,3-b]pyridazine ([14C]-TPA023; 99 microCi/dose) was administered to five young, healthy, fasted male subjects as a single oral dose (3.0 mg) in solution (propylene glycol/water, 10:90 v/v). The parent compound was rapidly absorbed (plasma Tmax approximately 2 h), exhibited an apparent terminal half-life of 6.7 h, and accounted for approximately 53% of the total radioactivity in plasma. After 7 days of collection, the mean total recovery of radioactivity in the excreta was 82.6%, with 53.2% and 29.4% in urine and feces, respectively. Radiochromatographic analysis of the excreta revealed that TPA023 was metabolized extensively, and only trace amounts of unchanged parent were recovered. Radiochromatograms of urine and feces showed that TPA023 underwent metabolism via three pathways (t-butyl hydroxylation, N-deethylation, and direct N-glucuronidation). The products of t-butyl hydroxylation and N-deethylation, together with their corresponding secondary metabolites, accounted for the majority of the radioactivity in the excreta. In addition, approximately 10.3% of the dose was recovered in urine as the triazolo-pyridazine N1-glucuronide of TPA023. The t-butyl hydroxy and N-desethyl metabolites of TPA023, the TPA023 N1-glucuronide, and the triazolo-pyridazine N1-glucuronide of N-desethyl TPA023 were present in plasma. In healthy male subjects, therefore, TPA023 is well absorbed and is metabolized extensively (t-butyl hydroxylation and N-deethylation > glucuronidation), and the metabolites are excreted in urine and feces.

Administration, Oral↗

PubMed2005

Effect of efavirenz on the pharmacokinetics of simvastatin, atorvastatin, and pravastatin: results of AIDS Clinical Trials Group 5108 Study.

Efavirenz (EFV) is associated with hyperlipidemia when used in combination with other antiretroviral drugs. EFV is a mixed inducer/inhibitor of cytochrome P450 (CYP) 3A4 isozyme and may interact with hydroxymethylglutaryl coenzyme A (HMG-CoA) reductase inhibitors that are primarily metabolized via CYP3A4. To assess the drug-drug interaction of EFV used in combination with simvastatin (SIM), atorvastatin (ATR), or pravastatin (PRA), an open-label trial was conducted in 52 healthy adult HIV-seronegative subjects across AIDS Clinical Trials Group sites in the United States. Subjects received 40 mg of SIM, 10 mg of ATR, or 40 mg of PRA daily on days 0 through 3 and days 15 through 18. EFV was administered daily at a dose of 600 mg on days 4 through 18. SIM, ATR, and PRA concentrations were determined before and after EFV, and EFV concentrations were determined before and after statins. EFV reduced SIM acid exposure (area under the curve at 0 to 24 hours [AUC0-24 h]) by 58% (Wilcoxon signed rank test, P=0.003) and active HMG-CoA reductase inhibitory activity by 60% (P<0.001). EFV reduced ATR exposure by 43% (P<0.001) and the total active ATR exposure by 34% (P=0.005). EFV administration resulted in a 40% decrease in PRA exposure (P=0.005). SIM, ATR, and PRA had no effect on non-steady-state EFV concentrations. In conclusion, EFV, when administered with SIM, ATR, or PRA, can result in significant induction of statin metabolism. The reduced inhibition of HMG-CoA reductase activity during coadministration of EFV may result in diminished antilipid efficacy at usual doses of SIM, ATR, and PRA.

Adult↗

PubMed2004

Simvastatin does not have a clinically significant pharmacokinetic interaction with fenofibrate in humans.

Simvastatin and fenofibrate are both commonly used lipid-regulating agents with distinct mechanisms of action, and their coadministration may be an attractive treatment for some patients with dyslipidemia. A 2-period, randomized, open-label, crossover study was conducted in 12 subjects to determine if fenofibrate and simvastatin are subject to a clinically relevant pharmacokinetic interaction at steady state. In treatment A, subjects received an 80-mg simvastatin tablet in the morning for 7 days. In treatment B, subjects received a 160-mg micronized fenofibrate capsule in the morning for 7 days, followed by a 160-mg micronized fenofibrate capsule dosed together with an 80-mg simvastatin tablet on days 8 to 14. Because food increases the bioavailability of fenofibrate, each dose was administered with food to maximize the exposure of fenofibric acid. The steady-state pharmacokinetics (AUC(0-24h), C(max), and t(max)) of active and total HMG-CoA reductase inhibitors, simvastatin acid, and simvastatin were determined following simvastatin administration with and without fenofibrate. Also, fenofibric acid steady-state pharmacokinetics were evaluated with and without simvastatin. The geometric mean ratios (GMRs) for AUC(0-24h) (80 mg simvastatin [SV] + 160 mg fenofibrate)/(80 mg simvastatin alone) and 90% confidence intervals (CIs) were 0.88 (0.80, 0.95) and 0.92 (0.82, 1.03) for active and total HMG-CoA reductase inhibitors. The GMRs and 90% CIs for fenofibric acid (80 mg SV + 160 mg fenofibrate/160 mg fenofibrate alone) AUC(0-24h) and C(max) were 0.95 (0.88, 1.04) and 0.89 (0.77, 1.02), respectively. Because both the active inhibitor and fenofibric acid AUC GMR 90% confidence intervals fell within the prespecified bounds of (0.70, 1.43), no clinically significant pharmacokinetic drug interaction between fenofibrate and simvastatin was concluded in humans. The coadministration of simvastatin and fenofibrate in this study was well tolerated.

Adolescent↗

PubMed2003

The conduct of in vitro and in vivo drug-drug interaction studies: a Pharmaceutical Research and Manufacturers of America (PhRMA) perspective.

Current regulatory guidances do not address specific study designs for in vitro and in vivo drug-drug interaction studies. There is a common desire by regulatory authorities and by industry sponsors to harmonize approaches, to allow for a better assessment of the significance of findings across different studies and drugs. There is also a growing consensus for the standardization of cytochrome P450 (P450) probe substrates, inhibitors and inducers and for the development of classification systems to improve the communication of risk to health care providers and to patients. While existing guidances cover mainly P450-mediated drug interactions, the importance of other mechanisms, such as transporters, has been recognized more recently, and should also be addressed. This article was prepared by the Pharmaceutical Research and Manufacturers of America (PhRMA) Drug Metabolism and Clinical Pharmacology Technical Working Groups and represents the current industry position. The intent is to define a minimal best practice for in vitro and in vivo pharmacokinetic drug-drug interaction studies targeted to development (not discovery support) and to define a data package that can be expected by regulatory agencies in compound registration dossiers.

Cytochrome P-450 Enzyme System↗

PubMed2003

The conduct of in vitro and in vivo drug-drug interaction studies: a PhRMA perspective.

Current regulatory guidances do not address specific study designs for in vitro and in vivo drug-drug interaction studies. There is a common desire by regulatory authorities and by industry sponsors to harmonize approaches to allow for a better assessment of the significance of findings across different studies and drugs. There is also a growing consensus for the standardization of cytochrome P450 (CYP) probe substrates, inhibitors, and inducers and for the development of classification systems to improve the communication of risk to health care providers and patients. While existing guidances cover mainly CYP-mediated drug interactions, the importance of other mechanisms, such as transporters, has been recognized more recently and should also be addressed. This paper was prepared by the Pharmaceutical Research and Manufacturers of America (PhRMA) Drug Metabolism and Clinical Pharmacology Technical Working Groups and represents the current industry position. The intent is to define a minimal best practice for in vitro and in vivo pharmacokinetic drug-drug interaction studies targeted to development (not discovery support) and to define a data package that can be expected by regulatory agencies in compound registration dossiers.

Cells, Cultured↗

PubMed2002

The sac mutants of Chlamydomonas reinhardtii reveal transcriptional and posttranscriptional control of cysteine biosynthesis.

Algae and vascular plants are cysteine (Cys) prototrophs. They are able to import, reduce, and assimilate sulfate into Cys, methionine, and other organic sulfur-containing compounds. Characterization of genes encoding the enzymes required for Cys biosynthesis from the unicellular green alga Chlamydomonas reinhardtii reveals that transcriptional and posttranscriptional mechanisms regulate the pathway. The derived amino acid sequences of the C. reinhardtii genes encoding 5'-adenylylsulfate (APS) reductase and serine (Ser) acetyltransferase are orthologous to sequences from vascular plants. The Cys biosynthetic pathway of C. reinhardtii is regulated by sulfate availability. The steady-state level of transcripts and activity of ATP sulfurylase, APS reductase, Ser acetyltransferase, and O-acetyl-Ser (thiol) lyase increase when cells are deprived of sulfate. The sac1 mutation, which impairs C. reinhardtii ability to acclimate to sulfur-deficient conditions, prevents the increase in accumulation of the transcripts encoding these enzymes and also prevents the increase in activity of all the enzymes except APS reductase. The sac2 mutation, which does not affect accumulation of APS reductase transcripts, blocks the increase in APS reductase activity. These results suggest that APS reductase activity is regulated posttranscriptionally in a SAC2-dependent process.

Acetyltransferases↗

PubMedDate not supplied

Image-derived input function for [11C]flumazenil kinetic analysis in human brain.

PURPOSE: We describe a method for analysis of [11C]flumazenil data using an input curve directly derived from the positron emission tomography (PET) images. PROCEDURE: The shape of the tracer plasma curve was obtained from the product of the intact flumazenil fraction in plasma in six arterial samples and the internal carotid artery time-activity curve (TAC). The resulting curve was calibrated using the [11C]flumazenil concentration in three of the six samples. The curve peak was recovered by adding an exponential function to the scaled curve whose parameters were estimated from simultaneous fittings of several tissue TACs assuming that all regions share the same input. RESULTS: Good agreement was found between the image-derived and the experimental plasma curves in six subjects. Distribution volumes were highly correlated with linear regression slope and intercept values between [0.94, 1.03] and [-0.10, 0.16], respectively. CONCLUSION: The proposed method is suitable for benzodiazepine receptor quantification requiring only a few blood samples.

Brain↗