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Interactions of the C terminus of metabotropic glutamate receptor type 1alpha with rat brain proteins: evidence for a direct interaction with tubulin.

Metabotropic glutamate receptors (mGluRs) are coupled to G protein second messenger pathways and modulate glutamate neurotransmission in the brain, where they are targeted to specific synaptic locations. As part of a strategy for defining the mechanisms for the specific targeting of mGluR1alpha, rat brain proteins which interact with the intracellular carboxy terminus of mGluR1alpha have been characterized, using affinity chromatography on a glutathione S-transferase fusion protein that contains the last 86 amino acids of mGluR1alpha. Three of the proteins specifically eluted from the affinity column yielded protein sequences, two of which were identified as glyceraldehyde-3-phosphate dehydrogenase and beta-tubulin; the other was an unknown protein. The identity of tubulin was confirmed by western immunoblotting. Using a solid-phase binding assay, the mGluR1alpha-tubulin interaction was shown to be direct, specific, and saturable with a KD of 2.3+/-0.4 microM. In addition, mGluR1alpha, but not mGluR2/3 or mGluR4, could be coimmunoprecipitated from solubilized brain extracts with tubulin using anti-beta-tubulin antibodies. However, mGluR1alpha could not be coimmunoprecipitated with the tubulin binding protein gephyrin, nor could it be coimmunoprecipitated with PSD95. Collectively these data demonstrate that the last 86 amino acids of the carboxyl-terminal tail of mGluR1alpha are sufficient to determine its interaction with tubulin and that there is an association of this receptor with tubulin in rat brain.

Animals↗

Absence of interaction between atorvastatin or other statins and clopidogrel: results from the interaction study.

BACKGROUND: Some, but not all, post hoc analyses have suggested that the antiplatelet effects of clopidogrel are inhibited by atorvastatin. We sought to address this issue prospectively by performing serial measurements of 19 platelet characteristics using conventional aggregometry, rapid analyzers, and flow cytometry. METHODS: The Interaction of Atorvastatin and Clopidogrel Study (Interaction Study) was designed for patients undergoing coronary stenting. All patients (n = 75) received 325 mg of aspirin daily for at least 1 week and 300 mg of clopidogrel immediately prior to stent implantation. They had been taking atorvastatin (n = 25), any other statin (n = 25), or no statin (n = 25) for at least 30 days prior to stenting. The main outcome measure was comparison of platelet biomarkers 4 and 24 hours after clopidogrel administration between study groups. RESULTS: At baseline, patients from both statin groups exhibited diminished platelet aggregation and reduced platelet expression of G-protein-coupled protease-activated thrombin receptor (PAR)-1. There were no significant differences in measured platelet characteristics among the study groups 4 and 24 hours after clopidogrel intake, with the exception of a lower collagen-induced aggregation at 24 hours and a constantly diminished expression of PAR-1 in patients treated with any statin. CONCLUSIONS: Statins in general, and atorvastatin in particular, do not affect the ability of clopidogrel to inhibit platelet function in patients undergoing coronary stenting. These prospective data also suggest that statins may inhibit platelets directly via yet unknown mechanism(s) possibly related to the regulation of the PAR-1 thrombin receptors.

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Extension of the isobolographic approach to interactions studies between more than two drugs: illustration with the convulsant interaction between pefloxacin, norfloxacin, and theophylline in rats.

This work proposes a model to characterize the additivity or the nonadditivity of combinations of more than two agents. Using a Bayesian framework, we modeled the variability between experimental subjects, the errors that occurred during data collection, and the relationship between effects and concentrations of agents at the effect site. The model was used to characterize the additivity (or non-additivity) of norfloxacin, pefloxacin, and theophylline in causing maximal seizures in male Sprague Dawley rats. Animals received the drugs separately or in various combinations. Drug infusion was stopped at the onset of maximal seizures, and cerebrospinal fluid samples were collected for determination of drug concentration by high-performance liquid chromatography. The model was fitted to concentration data using Markov Chain Monte Carlo techniques. Results showed that induction of seizures by mixtures of theophylline and pefloxacin were additive. Seizure induction by mixtures of norfloxacin and pefloxacin or norfloxacin and theophylline were not additive and, given the model, these drugs interacted negatively. There was no triple interaction effect between the drugs. This study demonstrates the ease with which mixtures of more than two drugs can be analyzed with the proposed model.

Animals↗

A theory of protein-resin interaction in hydrophobic interaction chromatography.

Docking simulations were performed in order to investigate surface area of interaction between several ribonucleases and a reduced model for the hydrophobic moiety used in Phenyl Sepharose using the program AutoDock 3.0. For each ribonucelase, 80 independent simulations with populations consisting of 100 random structures were performed and from these the most probable docked protein-ligand conformations were obtained. A new methodology was used to select the most probable conformations, based on qualitative and quantitative considerations. The interacting amino acids in each protein were identified. The average surface hydrophobicity of the interfacial zone (local hydrophobicity, LH) was determined. The LH showed a high correlation level (r2 = 0.99) with the "hydrophobic contact area" (HCA) experimentally determined for the different ribonucleases as well as with the dimensionless retention time (r2 = 0.90). This study allowed us to identify the zones on the protein surface most probably involved in protein retention in HIC, without tedious experimental work. Given the good correlation level obtained, this new methodology may constitute a novel approach that could be used to predict protein behavior in HIC.

Binding Sites↗

The high-mobility group transcription factor Sox10 interacts with the N-myc-interacting protein Nmi.

The high-mobility group transcription factor Sox10 exerts many different roles during development of the neural crest and nervous system. To unravel its complex transcriptional functions, we have started to look for interaction partners. Here, we identify an association of Sox10 with the N-myc interactor Nmi, which was mediated by the high-mobility group of Sox10 and the central region of Nmi. In vivo relevance of this interaction is indicated by the fact that both proteins were co-expressed in glial cells, gliomas and in the spinal cord. Additionally, subcellular localization of Nmi in C6 glioma depended on the presence of Sox10 such that nuclear Nmi was more frequent in Sox10-expressing cells. Importantly, Nmi modulated the transcriptional activity of Sox10 in reporter gene assays. Nmi effects varied between different Sox10 target gene promoters, indicating that Nmi function in vivo may be promoter-specific.

Cell Line↗

Control of protein-protein interactions: structure-based discovery of low molecular weight inhibitors of the interactions between Pin1 WW domain and phosphopeptides.

Interactions involving phosphorylated Ser/Thr-Pro motifs in proteins play a key role in numerous regulatory processes in the cell. Here, we investigate potential ligands of the WW binding domain of Pin1 in order to inhibit protein-protein interactions between Pin1 and phosphopeptides. Our structure-based strategy implies the synthesis of analogues of the Ac-Thr(PO(3)H(2))-Pro-NH(2) dipeptide and relies on high resolution NMR spectroscopy to accurately measure the affinity constants even in the high micromolar range.

Binding Sites↗

An interactive technology approach to educate older adults about drug interactions arising from over-the-counter self-medication practices.

An interactive computer program (Personal Education Program [PEP]) designed for the learning styles and psychomotor skills of older adults was used to teach older adults about potential drug interactions that can result from self-medication with over-the-counter (OTC) agents and alcohol. Subjects used the PEP on notebook computers equipped with infrared sensitive touchscreens. Subjects were recruited from senior centers. Those who met age, vision, literacy, independence, and medication use criteria were randomly assigned to one of three groups: (1) PEP plus information booklet; (2) information booklet only; or (3) control. A repeated measures (three time periods 2 weeks apart), three-group design was used. Users of PEP had significantly greater knowledge and self-efficacy scores than both the conventional and control groups at all three time points. The PEP group reported fewer adverse self-medication behaviors over time. Reported self-medication behaviors did not change over time for either the conventional or control groups. Subjects indicated a high degree of satisfaction with the PEP and reported their intent to make specific changes in self-medication behaviors.

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Studies of the interaction of substituted mutants of BAX with yeast mitochondria reveal that the C-terminal hydrophobic alpha-helix is a second ART sequence and plays a role in the interaction with anti-apoptotic BCL-xL.

The role of the two ends of the pro-apoptotic protein BAX in its interaction with mitochondria was challenged by assaying substituted mutants in yeast cells for the ability to bind and insert into the mitochondrial membrane and to promote the release of cytochrome c. Mutations at the N-terminal end confirmed the inhibitory function of this zone, known as apoptotic regulation of targeting (ART). On the other hand, mutations at the C-terminal end of the protein support the hypothesis that the hydrophobic helix alpha9 is not required for the insertion of BAX. In addition, three mutations (a T174D single substitution in the helix alpha9, a K189E/K190E double substitution at the end of the protein, and a P168A mutation in the loop before alpha9) exhibited a strong binding capacity, a strong insertion, as well as high ability to induce cytochrome c release. Considering the positions of these mutations and their potential effect on the movement of helix alpha9, we propose that the C-terminal end of the protein behaves like a second ART. Also, opposite to a mutation that changes the conformation of the N-terminal ART, the mutations in the C-terminal part of the protein impaired the inhibitory effect of anti-apoptotic BCL-xL over BAX insertion, suggesting that the conformation of the alpha9-helix plays a significant role in BAX/BCL-xL interaction.

Amino Acid Sequence↗

Drug interactions with cardiac glycosides: evaluation of a possible digoxin-ethmozine pharmacokinetic interaction.

Problems in studying pharmacokinetic interactions with digoxin were evaluated using as a test model the examination of a possible interaction between digoxin and ethmozine in a group of 11 patients with cardiac disease. A single-blind, placebo-controlled, nonrandomized protocol design was used. Considerable intrapatient variability in day-to-day serum digoxin levels was documented that could not be accounted for by laboratory variability in digoxin assay measurements (mean coefficient of variation 10.1%) or alterations in blood urea nitrogen (BUN), serum creatinine, or body weight during the course of the study. No consistent, statistically significant alteration of mean serum digoxin levels occurred when the baseline, placebo, and ethmozine phases were compared, although the study design would have permitted detection of a 0.29-ng/ml alteration in mean serum digoxin levels. A discussion of the sources of variability in digoxin levels is provided.

Aged↗

Carbamazepine-salicylate interaction in normal and uremic sera: reduced interaction in uremic sera.

Displacement of phenytoin and valproic acid by salicylate have been described. We studied carbamazepine-salicylate interactions in normal and uremic sera, which have not been studied. Salicylate caused significant displacement of carbamazepine from protein binding, leading to higher concentrations of free carbamazepine. The concentrations of free carbamazepine were always significantly higher in uremic sera than in normal sera. However, when uremic sera were supplemented with both carbamazepine and salicylate, we observed a much lower displacement of carbamazepine and only a slight increase in free carbamazepine concentration. Treatment of uremic sera with activated charcoal corrected the binding deficiency for carbamazepine. Known uremic compounds like hippuric acid and indoxyl sulphate can only partly explain the observed displacement of carbamazepine in uremic sera. We conclude that salicylate displaces carbamazepine from protein binding in normal sera, but this interaction is significantly reduced in uremic sera.

Carbamazepine↗

Interaction of valproic acid with nonsteroidal antiinflammatory drugs mefenamic acid and fenoprofen in normal and uremic sera: lack of interaction in uremic sera due to the presence of endogenous factors.

Valproic acid is an anticonvulsant that is strongly bound to serum albumin. The nonsteroidal antiinflammatory drugs mefenamic acid and fenoprofen are also strongly bound to albumin. We observed significant displacement of valproic acid from protein binding by mefenamic acid and fenoprofen at both therapeutic and slightly above therapeutic concentrations. The concentration of free valproic acid was higher in the uremic serum, as expected, but we observed no further displacement of valproic acid in the presence of mefenamic acid and fenoprofen. Known uremic compounds, hippuric acid and indoxyl sulfate, did not inhibit the interactions between valproic acid and mefenamic acid or fenoprofen. Treatment of uremic serum with activated charcoal at pH 3.0 removes endogenous interfering factors and corrects the binding defect of uremic serum for valproic acid. We observed significant displacement of valproic acid from protein binding by both mefenamic acid and fenoprofen in uremic serum after charcoal treatment. We conclude that endogenous factors are present in uremic sera that block interaction of valproic acid with mefenamic acid and fenoprofen.

Anti-Inflammatory Agents, Non-Steroidal↗

Lack of pharmacokinetic interaction between omeprazole or lansoprazole and ivabradine in healthy volunteers: an open-label, randomized, crossover, pharmacokinetic interaction clinical trial.

The effects of omeprazole and lansoprazole (CYP3A4 inhibitors) on the pharmacokinetics of a single dose of ivabradine (metabolized via CYP3A4) and its active metabolite (S18982) were assessed. Pharmacodynamics and safety were secondary objectives. An open-label, randomized, crossover, phase I, pharmacokinetic interaction design was used. Volunteers received a single oral dose of ivabradine (10 mg), were randomized to receive either omeprazole (40 mg) or lansoprazole (60 mg) for 5 days, and were administered an ivabradine dose on the sixth day. Crossover was performed after washout. Pharmacokinetic parameters for ivabradine did not vary significantly after omeprazole (C(max): 45.0 +/- 36.6 vs 42.7 +/- 27.6 ng/mL, P = .98; AUC: 128 +/- 87 vs 126 +/- 63 ng/mL, P = .82) or lansoprazole administration (C(max): 45.0 +/- 36.6 vs 41.3 +/- 29.4 ng/mL, P = .70; AUC: 128 +/- 87 vs 123 +/- 50, P = .73). Analyses of S18982 pharmacokinetic parameters showed similar results. Coadministration of either omeprazole or lansoprazole did not significantly affect the pharmacokinetics of a single dose of ivabradine. No pharmacodynamic interaction or safety concerns were evidenced.

2-Pyridinylmethylsulfinylbenzimidazoles↗

Predicting inhibitory drug-drug interactions and evaluating drug interaction reports using inhibition constants.

OBJECTIVE: To review the use of inhibitory constants (Ki) determined from in vitro experiments in the prediction of the significance of inhibitory drug-drug interactions (DDIs). DATA SOURCES: Searches of MEDLINE (1966-August 2004) and manual review of journals, conference proceedings, reference textbooks, and Web sites were performed using the key search terms cytochrome P450, drug-drug interaction, inhibition constant, and Ki. STUDY SELECTION AND DATA EXTRACTION: All articles identified from the data sources were evaluated, and information deemed relevant was included for this review. DATA SYNTHESIS: The cytochrome P450 isoenzymes factor prominently in the explanation of numerous DDIs. Although the regulation of these enzymes by one drug can affect the pharmacokinetics of other drugs, the consequences may not necessarily be significant either in terms of pharmacokinetic or clinical outcomes. Yet, many DDI monographs originate as unconfirmed case reports that implicate the influence of one drug on the CYP-mediated metabolism of another, and these often uncorroborated mechanisms can eventually become regarded as dogma. One consequence of this process is the over-prediction of potentially important DDIs. The pharmaceutical industry, Food and Drug Administration, and pharmaceutical scientists have developed a strategy for predicting the significance of inhibitory DDIs at the earliest possible stages of drug development based on a new chemical entity's Ki value, determined in vitro. CONCLUSIONS: We suggest that the use of Ki values of drugs purported to behave as CYP inhibitors be incorporated in the assessment of case reports that ascribe DDIs to inhibition of metabolism of one drug by another.

Area Under Curve↗

Drug interaction microcomputer software evaluation: the Medical Letter Drug Interactions Program.

The Medical Letter Drug Interactions Program was evaluated using general and specific criteria. The installation process, ease of learning, and use were rated excellent. The user documentation and technical support were good. The quality of the clinical documentation was excellent. The scope of coverage and overall clinical performance were good. The frequency of updates is fair. The primary advantages of the program are low costs and fast, reliable screening tool for drug interactions.

Artificial Intelligence↗

Drug interaction microcomputer software evaluation: Therapeutic Software's Adverse Interactions.

Therapeutic Software's Adverse Interactions was evaluated using general and specific criteria. The installation process, ease of learning, and technical support were rated as excellent. The ease of use and documentation for use were rated as good. The program received an excellent rating for the quality of the clinical documentation and good ratings for the scope of coverage and overall clinical performance. The frequency of updates is fair. The program is an excellent value because of its comprehensiveness, sources of the data base, and relatively low cost. It may be one of the better buys for drug interaction softwares.

Drug Interactions↗

Metoprolol-paroxetine interaction in human liver microsomes: stereoselective aspects and prediction of the in vivo interaction.

This study in human liver microsomes was undertaken to establish whether paroxetine stereoselectively inhibits the oxidative metabolism of metoprolol in vitro, and whether the in vivo observed magnitude of the paroxetine-metoprolol interaction was predictable from these in vitro data. Two distinct approaches were used: inhibitory effect of paroxetine on 1) the formation of alpha-hydroxymetoprolol and O-desmethylmetoprolol from the individual metoprolol enantiomers and 2) on the depletion of the enantiomers from the incubation mixture. Nonspecific binding of both metoprolol and paroxetine to human liver microsomes was also investigated. Whereas metoprolol displayed negligible binding, paroxetine was extensively bound to microsomal proteins. This was taken into account in order to obtain unbiased K(i) values and unbound concentrations of paroxetine. In the substrate depletion experiments, the intrinsic clearance (CL(int)) of (R)-metoprolol was larger than that of (S)-metoprolol. Paroxetine caused a concentration-dependent decrease in CL(int) of both enantiomers and abolished the stereoselectivity. In the metabolite formation experiments paroxetine did not stereoselectively affect alpha-hydroxylation, but preferentially inhibited the O-demethylation of the (R)-enantiomer versus the (S)-enantiomer. The use of unbound paroxetine concentrations in the two in vitro methods yielded comparable predicted increases in area under the curve (1.7-1.9 and 2.2-2.5 for (S)- and (R)-metoprolol, respectively) but underestimated the in vivo observed changes of about 7- and 10-fold, respectively. In conclusion, this study showed that paroxetine abolishes the stereoselective metabolism of metoprolol due to a stereoselective inhibition of the O-demethylation toward (R)-metoprolol. Furthermore, the extent of the in vivo metoprolol-paroxetine interaction was substantially underestimated by either one of the two in vitro approaches used when a competitive mechanism was assumed.

Adrenergic beta-Antagonists↗

[Critical analysis of drug interactions with cyclosporine. Evaluation of interactions with cyclosporine].

Cyclosporine A is a potent immunosuppressive agent, widely used in organ transplantation, in bone marrow transplantation and in the treatment of some autoimmune diseases. Changes of its absorption, a metabolism mainly processed by the liver and a concentration-related nephrotoxicity lead to the need of a careful drug monitoring, allowing to obtain blood levels that must be low and nevertheless sufficiently efficient. Cyclosporin A may additionally yield some numerous drug interactions. Those with potentially serious issue must be mandatory avoided and distinguished from those less severe that only have to be followed up. The strategy differs according to the nature of the interaction (i.e. pharmacokinetic/pharmacodynamic): the posology will have either to be adjusted or the risk/benefit ratio will have to be taken into account to decide any change in the dosage regimen.

Cyclosporine↗

Herb-drug interactions: interactions between Ginkgo biloba and prescription medications.

Geriatric patients typically present with one chronic disease per decade over age 50. Each chronic disease typically requires long-term drug therapy, meaning most older patients require several drugs to control their conditions and/or maintain their health. Simultaneously, the use of complementary and alternative medications (CAM) has increased in the United States over the last 20 years, reaching 36% in 2002; herbal medicine use accounts for approximately 22% of all CAM use. Older adults often add herbal medicines to the medications prescribed by their physicians, yet do not always inform their physicians. The drug metabolizing enzyme systems process all compounds foreign to the body, including prescription drugs and herbal medications. Therefore, use of both medicinals simultaneously has a potential for interactions of an adverse nature. This review, which will discuss ginkgo biloba, is the first of a continuing series covering the documented interactions between herbal medicines with proven efficacy and prescription drugs.

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