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Clinical significance of drug binding, protein binding, and binding displacement drug interactions.

Drugs widely used in clinical psychopharmacology, with few exceptions, are hepatically eliminated and circulate in the blood bound to plasma proteins. Often, the degree of binding is high (>90%). This fact has led to a widespread belief that such drugs may frequently participate in drug-binding interactions. The logic is as follows: Coadministration of drugs can result in a highly bound drug displacing a less avidly bound drug from its binding sites. This leads to greater amounts of free, nonprotein-bound, drug available for distribution to the sites of action. As free drug is a major determinant of pharmacologic effects, these drug interactions could result in toxicity and/or enhanced efficacy. This reasoning simplifies a complex situation where compensatory changes occur in the body to buffer the impact of drug-binding interactions. There are few examples where the above events have been documented to occur with psychoactive drugs leading to substantial clinical consequences. Although protein-binding displacement interactions are generally of minimal clinical significance, this is an assumption not based on evidence, but rather the lack of it. The purpose of this review is to examine some relevant aspects of drug-protein binding and draw conclusions for clinical practice about the significance of drug binding and drug-binding displacement interactions. Psychopharmacology Bulletin.

Drug Interactions↗

Food-drug interactions: Careful drug selection and patient counseling can reduce the risk in older patients.

Older patients are at high risk for food-drug Interactions. These patients are commonly on multiple medications for chronic medical conditions. Age-related physiologic changes affecting drug absorption, distribution, metabolism and excretion, as well as drug action occur in these patients, and this variability in drug action may be further potentiated by interactions with foods. The most prominent interactions involve drug absorption from the GI tract; however alterations in drug metabolism are also highly significant. Food-drug interactions have been reported amongst a wide range of therapeutic drug classes, including, but not limited to, cardiovascular, psychoactive, anti-infective, endocrinologic, gastrointestinal, and respiratory agents. Health care providers can prevent significant drug therapy-related morbidity by carefully selecting drugs for geriatric patients and thoroughly counseling these patients about drug interactions with the foods they eat.

Aged↗

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↗

Microtubules: dynamics, drug interaction and drug resistance in Leishmania.

Microtubules are cytoskeletal polymers essential for the survival of all eukaryotes. These proteins are the proposed cellular targets of many anticancerous, antifungal and antihelminthic drugs. Sufficient differences exist between the microtubules of kinetoplastid parasites like Leishmania and humans to explore the selective targeting of these proteins for therapeutic purposes. This review describes the basic structure of microtubules and its dynamics in general, with specific insights into leishmanial microtubules, the salient features of microtubule-drug interactions including the specificity of certain drugs for parasitic microtubules. Chemotherapy against leishmanial parasites is failing because of the emergence of drug resistant strains. The possible mechanisms of resistance to antimicrotubule agents along with insights into the role of microtubules in mediating drug resistance in Leishmania are discussed.

Animals↗

[Overview of drug interactions. Combining drugs correctly!].

Drug interactions may be of two basic types: pharmacodynamic and pharmacokinetic. Pharmacodynamic interactions may be direct, in that two drugs intervene synergistically or antagonistically in the same biological system, or indirect, meaning that one drug may modify a parameter of central importance to a system, which in turn may influence the activity of the second drug. Of the two possibilities pharmacokinetic interactions are the more difficult to recognize since they have nothing to do with the biological action proper. Here, the absorption and metabolism of the drug are the most important factors. A compounding factor is the fact that the activity of a drug may show marked individual, genetically determined, differences.

Drug Interactions↗

Safety evaluation and drug development based on biological fate of drugs -efforts made to overcome drug interaction in drug development-.

1. Assay methods to detect drug interaction in toxicological samples were established by determining cytochrome P450 content and its activity in liver samples. The O-dealkylation reaction of 7-alkoxycoumarin was indicated to reflect changes in the molecular forms of P450s, and the enzyme induction or inhibition in the toxicological samples was easily detected by using the established methods. 2. During toxicological studies of 450191-S or the sleep inducer rilmazafone, a phenobarbital type-induction of hepatic drug metabolizing enzymes was observed in animals, and the doses required for the induction differed markedly between rats and dogs. Enzyme induction was caused by some specific metabolites of 450191-S, and the plasma concentrations of these metabolites were comparable when the enzyme induction was developed in both animals. 3. A nonsteroidal antiinflammatory compound 480156-S showed a slight or no effect on microsomal drug metabolizing activity in rats. On the other hand, repeated administration of this compound to humans resulted in a marked decrease in the oxidative metabolism of 480156-S, followed by a marked increase in the plasma concentrations of the compound. When volunteers were given 480156-S followed by several drugs, such as tolubutamide, the plasma clearance was delayed remarkably, indicating a severe drug interaction. 4. Cytochrome P450 belonging to the CYP2C family was indicated to participate in the oxidative metabolism of 480156-S in both rat and human liver microsomes. The preincubation of microsomes with 480156-S caused a concentration-dependent inhibition of CYP2C-dependent tolubutamide hydroxylation reaction in both rats and humans. There was a marked species difference in the susceptibility to the inhibitory effect of 480156-S, and the concentration required to inhibit rat CYP2C was almost 10 times higher than that required in humans. 5. The cephem antibiotics having N-methyltetrazolethiol (NMTT) at the 3'-position substituent were demonstrated to inhibit mitochondrial low K(m) aldehyde dehydrogenase (ALDH), and produced disulfiram-like (Antabuse) reaction during alcohol metabolism. Pharmacokinetic studies indicated that NMTT released from the antibiotics in bile duct or intestine cause the inhibitory action followed by the development of disulfiram-like reaction. 6. Attempts had been made to develop new cephem antibiotics lacking the disulfiram-like reaction by changing the chemical structure of 3'-position substituents, and a hydroxyethyltetrazolethiol was found not to inhibit the enzyme. Based on this result, together with the antibacterial activity, we have developed a new oxacephem antibiotic flomoxef (6315-S). Flomoxef showed no disulfiram-like reaction both in rats and human.

Journal Article↗

Drug interaction microcomputer software evaluation: drug interaction facts on disk.

Drug Interaction Facts on Disk (DIF) was evaluated using general and specific criteria. The installation process, ease of learning and use, the user documentation, and the technical support were rated excellent. The scope of coverage, the quality of the clinical documentation, and overall clinical performance were also excellent. The frequency of updates is good. The program's clinical performance was compared to RxTriage and Drug Therapy Screening System using five recently reported drug interactions. The ability to screen for selected drug-food/nutrient interactions was also evaluated. Drug Interaction Facts is rated to be one of the better bargains in drug interaction software programs.

Drug Information Services↗

Predicting drug-drug interactions in drug discovery: where are we now and where are we going?

Pressure on drug discovery research teams to identify successful drug candidates earlier on in the drug discovery process has led to the development of a variety of ADME in vitro assays, intended to guide chemists and biologists in their decision-making process. The role of these early assays is to indicate liabilities in scaffolds relating to the absorption, distribution, metabolism and cytochrome P450 (CYP) inhibition potential of new chemical entities. Current efforts in drug-drug interaction (DDI) screening can be divided into four basic categories: bioanalytical method development, strategies relating to enzyme kinetics, recognition of CYP allelic variants and generation of computational models to predict CYP interactions. Collectively, DDI screening represents an important means not only for assessing and ranking potential drug candidates, but also for aiding in the development of mechanisms for predicting and retrospectively explaining in vivo drug performance.

Animals↗

Grapefruit-drug interactions: can interactions with drugs be avoided?

Grapefruit is rich in flavonoids, which have been demonstrated to have a preventive influence on many chronic diseases, such as cancer and cardiovascular disease. However, since the early 1990s, the potential health benefits of grapefruit have been overshadowed by the possible risk of interactions between drugs and grapefruit and grapefruit juice. Several drugs interacting with grapefruit are known in different drug classes, such as HMG-CoA reductase inhibitors, calcium antagonists, and immunosuppressives. Currently known mechanisms of interaction include the inhibition of cytochrome P450 as a major mechanism, but potential interactions with P-glycoprotein and organic anion transporters have also been reported. This review is designed to provide a comprehensive summary of underlying mechanisms of interaction and human clinical trials performed in the area of grapefruit drug interactions and to point out possible replacements for drugs with a high potential for interactions.

Citrus paradisi↗

Drug interaction ontology (DIO) for inferences of possible drug-drug interactions.

Drug Interaction Ontology (DIO) was developed for formal representation of pharmacological knowledge. It provides a fundamental framework for accumulation of reusable knowledge components in molecular pharmacology. Ontology was employed and implemented as a relational model. Some features include: 1) Drug-biomolecule interaction was assumed as a primitive knowledge element. 2) Symbolic representation was developed for drug-biomolecule interaction. Consequences of two conjugated units of interaction were defined by using symbols. These are applied for query development for identification of possible drug-drug interaction. 3) The triadic relationship model was developed as a ground model for bio-logical interactions and/or function, including semantic ones. One application of DIO is to support hypothesis generation of drug interaction by providing new hypotheses from a structured database storing literature information on known drug-biomolecule interactions. A knowledge base using DIO that contains information beginning with anti-cancer drugs is now under development. Detection of possible drug interaction was tested and its capacity to lead clinically known ones was confirmed. The system generated theoretically possible drug-drug interactions, which implies potential usefulness of new drugs to be tested before actual clinical application. In this paper, sorivudine and 5-fluorouracil mediated by dihydropyrimidine dehydrogenase are presented.

Arabinofuranosyluracil↗

Evaluation of drug interaction microcomputer software: Part 2--Drug Interactions Advisor.

Drug Interactions Advisor was evaluated using general and specific criteria. The installation process, ease of learning and use were rated as good. The documentation and technical support were rated as fair. The program received fair ratings for scope of coverage, clinical documentation, and frequency of updates. Because of the quality and quantity of interaction information provided, overall clinical performance was rated as poor. The program has value as an initial screen for detection of potential interactions. It is not a useful source for evaluative drug interaction information.

Drug Information Services↗

Drug interactions and drugs that affect blood pressure.

Many antihypertensive drugs have important interactions with drugs used for different purposes; when these are used concomitantly, adverse effects on blood pressure can result. Fortunately, in recent years, the drug development process has generally discouraged the approval and marketing of antihypertensive drugs with this problem, although some anomalies still exist (eg, telmisartan + digoxin). Physicians who work in emergency departments are more familiar with illicit or unregulated drugs that affect blood pressure; chief among these are cocaine and other opioids, and methylphenidate and its congeners. The most important prescription drugs that affect blood pressure are the nonsteroidal anti-inflammatory drugs (including selective inhibitors of the second isoform of cyclooxygenase) and steroids. Phenylpropanolamines, some antidepressants, and sibutramine can often be avoided, as they raise blood pressure in a significant proportion of those who take them. Conversely, the hypertensive effects of calcineurin inhibitors and erythropoietin are most commonly overcome by increasing the intensity of antihypertensive drug treatment, since these drugs are essentially unavoidable in most patients who receive them.

Adrenergic alpha-Antagonists↗

Evaluation of drug interaction microcomputer software: Dambro's Drug Interactions.

Dambro's Drug Interactions was evaluated using general and specific criteria. The installation process, ease of learning and use were rated excellent. The user documentation and quality of the technical support were good. The scope of coverage, clinical documentation, frequency of updates, and overall clinical performance were fair. The primary advantages of the program are the quick searching and detection of drug interactions, and the attempt to provide useful interaction data, i.e., significance and reference. The disadvantages are the lack of current drug interaction information, outdated references, lack of evaluative drug interaction information, and the inability to save or print patient profiles. The program is not a good value for the pharmacist but has limited use as a quick screening tool.

Drug Interactions↗