Interactions between simvastatin and troglitazone or pioglitazone in healthy subjects

Designing Out PXR Activity on Drug Discovery Projects: A Review of Structure-Based Methods, Empirical and Computational Approaches

This perspective discusses the role of pregnane xenobiotic receptor (PXR) in drug discovery and the impact of its activation on CYP3A4 induction. The use of structural biology to reduce PXR activity on drug discovery projects has become more common in recent years. Analysis of this work highlights several important molecular interactions, and the resultant structural modifications to reduce PXR activity are summarized. The computational approaches undertaken to support the design of new drugs devoid of PXR activation potential are also discussed. Finally, the SAR of empirical design strategies to reduce PXR activity is reviewed, and the key SAR transformations are discussed and summarized. In conclusion, this perspective demonstrates that PXR activity can be greatly diminished or negated on active drug discovery projects with the knowledge now available. This perspective should be useful to anyone who seeks to reduce PXR activity on a drug discovery project.

Considerations from the IQ Induction Working Group in Response to Drug-Drug Interaction Guidance from Regulatory Agencies: Focus on Downregulation, CYP2C Induction, and CYP2B6 Positive Control

The European Medicines Agency (EMA), the Pharmaceutical and Medical Devices Agency (PMDA), and the Food and Drug Administration (FDA) have issued guidelines for the conduct of drug-drug interaction studies. To examine the applicability of these regulatory recommendations specifically for induction, a group of scientists, under the auspices of the Drug Metabolism Leadership Group of the Innovation and Quality (IQ) Consortium, formed the Induction Working Group (IWG). A team of 19 scientists, from 16 of the 39 pharmaceutical companies that are members of the IQ Consortium and two Contract Research Organizations reviewed the recommendations, focusing initially on the current EMA guidelines. Questions were collated from IQ member companies as to which aspects of the guidelines require further evaluation. The EMA was then approached to provide insights into their recommendations on the following: 1) evaluation of downregulation, 2) in vitro assessment of CYP2C induction, 3) the use of CITCO as the positive control for CYP2B6 induction by CAR, 4) data interpretation (a 2-fold increase in mRNA as evidence of induction), and 5) the duration of incubation of hepatocytes with test article. The IWG conducted an anonymous survey among IQ member companies to query current practices, focusing specifically on the aforementioned key points. Responses were received from 19 companies. All data and information were blinded before being shared with the IWG. The results of the survey are presented, together with consensus recommendations on downregulation, CYP2C induction, and CYP2B6 positive control. Results and recommendations related to data interpretation and induction time course will be reported in subsequent articles.

Simvastatin inhibits protein isoprenylation in the brain

Evidence suggests that 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors, or statins, may reduce the risk of Alzheimer's disease (AD). Statin action in patients with AD, as in those with heart disease, is likely to be at least partly independent of the effects of statins on cholesterol. Statins can alter cellular signaling and protein trafficking through inhibition of isoprenylation of Rho, Cdc42, and Rab family GTPases. The effects of statins on protein isoprenylation in vivo, particularly in the central nervous system, are poorly studied. We utilized two-dimensional gel electrophoresis approaches to directly monitor the levels of isoprenylated and non-isoprenylated forms of Rho and Rab family GTPases. We report that simvastatin significantly inhibits RhoA and Rab4, and Rab6 isoprenylation at doses as low as 50nM in vitro. We also provide the first in vivo evidence that statins inhibit the isoprenylation of RhoA in the brains of rats and RhoA, Cdc42, and H-Ras in the brains of mice treated with clinically relevant doses of simvastatin.

Using a Systems Pharmacology Approach to Study the Effect of Statins on the Early Stage of Atherosclerosis in Humans

More than 100,000 people have participated in controlled trials of statins (lowering cholesterol drugs) since the introduction of lovastatin in the 1980s. Meta-analyses of this data have shown that statins have a beneficial effect on treated groups compared to control groups, reducing cardiovascular risk. Inhibiting the HMG-CoA reductase in the liver, statins can reduce cholesterol levels, thus reducing LDL levels in circulation. Published data from intravascular ultrasound studies (IVUS) was used in this work to develop and validate a unique integrative system model; this consisted of analyzing control groups from two randomized controlled statins trials (24/97 subjects respectively), one treated group (40 subjects, simvastatin trial), and 27 male subjects (simvastatin, pharmacokinetic study). The model allows to simulate the pharmacokinetics of statins and its effect on the dynamics of lipoproteins (e.g., LDL) and the inflammatory pathway while simultaneously exploring the effect of flow-related variables (e.g., wall shear stress) on atherosclerosis progression.

Pioglitazone: an antidiabetic drug with cardiovascular therapeutic effects

The antidiabetic compound pioglitazone, an activator of the intracellular peroxisome proliferator-activated receptor-gamma, and decreases metabolic and vascular insulin resistance. The drug is well tolerated, and its metabolic effects include improvements in blood glucose and lipid control. Vascular effects consist of improvements in endothelial function and hypertension, and a reduction in surrogate markers of artherosclerosis. In a large, placebo-controlled, outcome study in secondary prevention, PROactive study, the use of pioglitazone in addition to an existing optimized macrovascular risk management resulted in a significant reduction of macrovascular endpoints within a short observation period that was comparable to the effect of statins and angiotensin converting enzyme inhibitors in other trials. These results underline the value of pioglitazone for managing the increased cardiovascular risk of patients with a metabolic syndrome or Type 2 diabetes mellitus.

Quantitative prediction of human pregnane X receptor and cytochrome P450 3A4 mediated drug-drug interaction in a novel multiple humanized mouse line

Cytochrome P450 (P450) 3A4 is the predominant P450 enzyme expressed in human liver and intestine, and it is involved in the metabolism of approximately 50% of clinically used drugs. Because of the differences in the multiplicity of CYP3A genes and the poor correlation of substrate specificity of CYP3A proteins between species, the extrapolation of CYP3A-mediated metabolism of a drug from animals to man is difficult. This situation is further complicated by the fact that the predictability of the clinically common drug-drug interaction of pregnane X receptor (PXR)-mediated CYP3A4 induction by animal studies is limited as a result of marked species differences in the interaction of many drugs with this receptor. Here we describe a novel multiple humanized mouse line that combines a humanization for PXR, the closely related constitutive androstane receptor, and a replacement of the mouse Cyp3a cluster with a large human genomic region carrying CYP3A4 and CYP3A7. We provide evidence that this model shows a human-like CYP3A4 induction response to different PXR activators, that it allows the ranking of these activators according to their potency to induce CYP3A4 expression in the human liver, and that it provides an experimental approach to quantitatively predict PXR/CYP3A4-mediated drug-drug interactions in humans.

A population pharmacokinetic-pharmacodynamic model for simvastatin that predicts low-density lipoprotein-cholesterol reduction in patients with primary hyperlipidaemia

Simvastatin (SV), a HMG-CoA reductase inhibitor, is widely used for the treatment of hyperlipidaemia. The objectives of the present study were to develop a population pharmacokinetic-pharmacodynamic (PK-PD) model for simvastatin and to evaluate its usefulness in predicting the dose-response relationship of simvastatin in patients with hyperlipidaemia. The data were obtained from a drug-drug interaction study to assess the effect of aspirin on the PK of simvastatin. Twenty-seven healthy volunteers were given simvastatin 40 mg daily for 14 days in whom aspirin 100 mg q.d. was co-administered after day 8. Full PK studies were performed on days 1, 7 and 14 in addition to trough sampling on days 5, 6, 12 and 13. Low-density lipoprotein-cholesterol (LDL-C) levels were also measured serially. Then, a population PK-PD model for simvastatin and its active metabolite, simvastatin acid (SVA), was developed using mixed effect methods (NONMEM Ver. 6.2). A simple linear PK model with parent and metabolite compartments provided the best fit for the 2647 concentrations of simvastatin and simvastatin acid, and a turnover model was used to describe the change in LDL-C levels. The dose-response curve simulated from the final model and those obtained from the literature overlapped very closely. No influence of aspirin was observed in PK or PD. A simple PK-PD model developed using only 2-week study data from fewer than 30 healthy volunteers successfully predicted the dose-response relationship of simvastatin in patients when compared with published data.

Liver safety in patients with type 2 diabetes treated with pioglitazone: results from a 3-year, randomized, comparator-controlled study in the US

BACKGROUND/AIMS

Non-alcoholic fatty liver disease (NAFLD), the major hepatic manifestation of type 2 diabetes mellitus, is the most common liver disease in the US. Thiazolidinediones, a commonly used drug class for the treatment of type 2 diabetes, have emerged as a potentially useful treatment for NAFLD. There are, however, lingering concerns about their potential toxicity as well as emerging concerns about how to monitor for and assess hepatotoxicity. We conducted a randomized, long-term, double-blind, hepatic safety study at 171 centres in the US in which 2097 patients with type 2 diabetes received either pioglitazone or glibenclamide (glyburide).

METHODS

Patients were randomized to receive either pioglitazone (15-45 mg once daily) or glibenclamide (5-15 mg once daily) for 3 years. The primary objective was to evaluate drug-induced liver injury manifested by liver enzyme elevations, measured every 8 weeks for the first year and every 12 weeks thereafter. The primary endpoint was a confirmed ALT greater than three times the upper limit of normal (>3 x ULN) with a secondary endpoint of 8 x ULN.

MAIN RESULTS

The intent-to-treat population included 1051 pioglitazone-treated and 1046 glibenclamide-treated patients; of these, 411 pioglitazone patients and 413 glibenclamide patients completed the study. The incidence of hepatocellular injury was 0 with pioglitazone and 4 (0.38%) with glibenclamide (p = 0.0617). Analyses of the secondary endpoints revealed no ALT >8 x ULN for pioglitazone versus 1 with glibenclamide (p = 0.4988); no ALT >3 x ULN + total bilirubin 2 x ULN with pioglitazone versus 1 with glibenclamide (p = 0.4988); and fewer ALT >3 x ULN single elevations with pioglitazone (n = 3) than with glibenclamide (n = 9; p = 0.0907). Significantly (p < or = 0.05) fewer cases of ALT >1.5 x ULN, aspartate aminotransferase >1.5 x ULN and gamma-glutamyl transpeptidase >1.5 x ULN were seen with pioglitazone compared with glibenclamide. No case of hepatic dysfunction or hepatic failure was reported in either treatment group; two cases of hepatic cirrhosis with glibenclamide were reported.

CONCLUSION

This study demonstrates an hepatic safety profile of pioglitazone similar to that of glibenclamide in long-term use in patients with poorly controlled type 2 diabetes. Trial registration number (clinicaltrials.gov): NCT00494312.

Modeling, prediction, and in vitro in vivo correlation of CYP3A4 induction

CYP3A4 induction is not generally considered to be a concern for safety; however, serious therapeutic failures can occur with drugs whose exposure is lower as a result of more rapid metabolic clearance due to induction. Despite the potential therapeutic consequences of induction, little progress has been made in quantitative predictions of CYP3A4 induction-mediated drug-drug interactions (DDIs) from in vitro data. In the present study, predictive models have been developed to facilitate extrapolation of CYP3A4 induction measured in vitro to human clinical DDIs. The following parameters were incorporated into the DDI predictions: 1) EC(50) and E(max) of CYP3A4 induction in primary hepatocytes; 2) fractions unbound of the inducers in human plasma (f(u, p)) and hepatocytes (f(u, hept)); 3) relevant clinical in vivo concentrations of the inducers ([Ind](max, ss)); and 4) fractions of the victim drugs cleared by CYP3A4 (f(m, CYP3A4)). The values for [Ind](max, ss) and f(m, CYP3A4) were obtained from clinical reports of CYP3A4 induction and inhibition, respectively. Exposure differences of the affected drugs in the presence and absence of the six individual inducers (bosentan, carbamazepine, dexamethasone, efavirenz, phenobarbital, and rifampicin) were predicted from the in vitro data and then correlated with those reported clinically (n = 103). The best correlation was observed (R(2) = 0.624 and 0.578 from two hepatocyte donors) when f(u, p) and f(u, hept) were included in the predictions. Factors that could cause over- or underpredictions (potential outliers) of the DDIs were also analyzed. Collectively, these predictive models could add value to the assessment of risks associated with CYP3A4 induction-based DDIs by enabling their determination in the early stages of drug development.

Application and interpretation of hPXR screening data: Validation of reporter signal requirements for prediction of clinically relevant CYP3A4 inducers

A human pregnane X receptor (PXR) reporter-gene assay was established and validated using 19 therapeutic agents known to be clinical CYP3A4 inducers, 5 clinical non-inducers, and 6 known inducers in human hepatocytes. The extent of CYP3A4 induction (measured as RIF ratio in comparison to rifampicin) and EC50 was obtained from the dose-response curve. All of the clinical inducers (19/19) and human hepatocyte inducers (6/6) showed positive responses in the PXR assay. One out of five clinical non-inducers, pioglitazone, also showed a positive response. An additional series of 18 commonly used drugs with no reports of clinical induction was also evaluated as putative negative controls. Sixteen of these were negative (89%), whereas two of these, flutamide and haloperidol showed 16-fold (RIF ratio 0.79) and 10-fold (RIF ratio 0.48) maximal induction, respectively in the reporter-gene system. Flutamide and haloperidol were further demonstrated to cause CYP3A4 induction in human cryopreserved hepatocytes based on testosterone 6beta-hydroxylation activity. The induction potential index calculated based on the maximum RIF ratio, EC50, and in vivo maximum plasma concentration was used to predict the likelihood of CYP3A4 induction in humans. When the induction potential index is greater than 0.08, the compound is likely to cause induction in humans. A high-throughput screening strategy was developed based on the validation results at 1microM and 10microM for the same set of drugs. A RIF ratio of 0.4 was set as more practical screening cut-off to minimize the possibility of generating false positives. Thus, a tiered approach was implemented to use the human PXR reporter-gene assay from early lead optimization to late lead characterization in drug discovery.

Effect of pioglitazone and its combination with statins in coronary artery disease patients with hyperinsulinemia

The objective of the study was to demonstrate the effect of pioglitazone and pioglitazone in combination with statin on East Indian patients with hyperinsulinemia and hyperlipidemia. It was a randomized, placebo-controlled, double-blind study with a parallel-group design comprising 83 patients. Patients of either sex with cardiac complications, including hyperlipidemia and (or) diabetes mellitus with or without hyperinsulinemia, were enrolled. Patients over 70 years of age, with renal or hepatic failure, or with severe diabetes mellitus (total glucose >400 mg/dL) were excluded from the study. Enrolled patients were randomly assigned to 4 groups that received placebo, pioglitazone, atorvastatin, or both. Blood samples were collected before and after treatment for analysis of serum glucose, insulin, lipid profile, apolipoprotein (apo) A1, apo B, and fibrinogen. Data were compared with that of patients with normal insulin or hyperinsulinemia. The patients with hyperinsulinemia receiving only pioglitazone showed a significant decrease in insulin levels compared with those with normal insulin levels. These patients also showed a significant increase in HDL levels. However, no significant change was observed in patients treated with both atorvastatin and pioglitazone. Pioglitazone was also found to increase significantly the apo A1 levels in patients with hyperinsulinemia, but there was no significant increase in patients given both atorvastatin and pioglitazone. Our data suggests that pioglitazone should be given preferably to the patients with hyperinsulinemia and statin should not be coadministered.

Fixed-dose combination of pioglitazone and glimepiride in the treatment of Type 2 diabetes mellitus

Type 2 diabetes is characterized by impaired insulin sensitivity and disturbances in β-cell function. While glimepiride stimulates β-cell secretion and leads to a reduction of blood glucose levels, pioglitazone activates peroxisome proliferator-activated receptor-γ and improves insulin resistance. Combining these two modes of action has been shown to improve glucose and lipid metabolism, and to improve the overall cardiovascular risk in patients with Type 2 diabetes. The combination of glimepiride and pioglitazone is generally well tolerated and a fixed combination may lead to an improved compliance in patients. The purpose of this review is to evaluate the clinical data that has been published on this combination, appearing to represent a convenient way to obtain therapeutic targets in patients with Type 2 diabetes mellitus.

Pharmacokinetic interactions with thiazolidinediones

Type 2 diabetes mellitus is a complex disease combining defects in insulin secretion and insulin action. New compounds called thiazolidinediones or glitazones have been developed for reducing insulin resistance. After the withdrawal of troglitazone because of liver toxicity, two compounds are currently used in clinical practice, rosiglitazone and pioglitazone. These compounds are generally used in combination with other pharmacological agents. Because they are metabolised via cytochrome P450 (CYP), glitazones are exposed to numerous pharmacokinetic interactions. CYP2C8 and CYP3A4 are the main isoenzymes catalysing biotransformation of pioglitazone (as with troglitazone), whereas rosiglitazone is metabolised by CYP2C9 and CYP2C8. For both rosiglitazone and pioglitazone, the most relevant interactions have been described in healthy volunteers with rifampicin (rifampin), which results in a significant decrease of area under the plasma concentration-time curve [AUC] (54-65% for rosiglitazone, p<0.001; 54% for pioglitazone, p<0.001), and with gemfibrozil, which results in a significant increase of AUC (130% for rosiglitazone, p<0.001; 220-240% for pioglitazone, p<0.001). The relevance of such drug-drug interactions in patients with type 2 diabetes remains to be evaluated. However, in the absence of clinical data, it is prudent to reduce the dosage of each glitazone by half in patients treated with gemfibrozil. Conversely, rosiglitazone and pioglitazone do not seem to significantly affect the pharmacokinetics of other compounds. Although some food components have also been shown to potentially interfere with drugs metabolised with the CYP system, no published study deals specifically with these possible CYP-mediated food-drug interactions with glitazones.

Evaluation of Human Liver Slices and Reporter Gene Assays as Systems for Predicting the Cytochrome P450 Induction Potential of Drugs in Vivo in Humans

PURPOSE

The aim of the study was to investigate the feasibility of predicting human in vivo cytochrome P450 (CYP) induction properties of drugs using in vitro methods.

METHODS

The CYP induction potential of compounds was tested in human liver slices and in reporter gene assays for the aryl hydrocarbon receptor (AhR) and the pregnane X receptor (PXR).

RESULTS

In human liver slices, CYP activities decreased dramatically over the experimental period, whereas mRNA levels could reliably be used to investigate CYP1A, 2C9, and 3A4 induction. However, the interindividual variations and demanding experimentation limit the use of liver slices in screening programs. Reporter gene assays are robust and reliable assays, amenable to high throughput screening. Several compounds activated AhR. The relevance of this activation, however, needs to be further investigated since there are no clear reports on drugs inducing CYP1A in vivo. The results from the PXR assay could be used to correctly classify compounds with known CYP3A induction properties when relating in vivo AUCtot to PXR EC50 values.

CONCLUSIONS

Liver slices are a valuable model to study the regulation of a larger number of enzymes by single compounds. The PXR reporter gene assay could be used as a reliable screening method to predict CYP3A induction in vivo.

Drug interactions of clinical importance with antihyperglycaemic agents: an update

Because management of type 2 diabetes mellitus usually involves combined pharmacological therapy to obtain adequate glucose control and treatment of concurrent pathologies (especially dyslipidaemia and arterial hypertension), drug-drug interactions must be carefully considered with antihyperglycaemic drugs. Additive glucose-lowering effects have been extensively reported when combining sulphonylureas (or the new insulin secretagogues, meglitinide derivatives, i.e. nateglinide and repaglinide) with metformin, sulphonylureas (or meglitinide derivatives) with thiazolidinediones (also called glitazones) and the biguanide compound metformin with thiazolidinediones. Interest in combining alpha-glucosidase inhibitors with either sulphonylureas (or meglitinide derivatives), metformin or thiazolidinediones has also been demonstrated. These combinations result in lower glycosylated haemoglobin (HbA(1c)), fasting glucose and postprandial glucose levels than with either monotherapy. Even if modest pharmacokinetic interferences have been reported with some combinations, they do not appear to have important clinical consequences. No significant adverse effects, except a higher risk of hypoglycaemic episodes that may be attributed to better glycaemic control, occur with any combination. Challenging the classical dual therapy with sulphonylurea plus metformin, there is a recent trend to use alternative dual combinations (sulphonylurea plus thiazolidinedione or metformin plus thiazolidinedione). In addition, triple therapy with the addition of a thiazolidinedione to the metformin-sulphonylurea combination has been recently evaluated and allows glucose targets to be reached before insulin therapy is considered. This triple therapy appears to be safe, with no deleterious drug-drug interactions being reported so far.Potential interferences may also occur between glucose-lowering agents and other drugs, and such drug-drug interactions may have important clinical implications. Relevant pharmacological agents are those that are widely coadministered in diabetic patients (e.g. lipid-lowering agents, antihypertensive agents); those that have a narrow efficacy/toxicity ratio (e.g. digoxin, warfarin); or those that are known to induce (rifampicin [rifampin]) or inhibit (fluconazole) the cytochrome P450 (CYP) system. Metformin is currently a key compound in the pharmacological management of type 2 diabetes, used either alone or in combination with other antihyperglycaemics. There are no clinically relevant metabolic interactions with metformin, because this compound is not metabolised and does not inhibit the metabolism of other drugs. In contrast, sulphonylureas, meglitinide derivatives and thiazolidinediones are extensively metabolised in the liver via the CYP system and thus, may be subject to drug-drug metabolic interactions. Many HMG-CoA reductase inhibitors (statins) are also metabolised via the CYP system. Even if modest pharmacokinetic interactions may occur, it is not clear whether drug-drug interactions between oral antihyperglycaemic agents and statins may have clinical consequences regarding both efficacy and safety. In contrast, a marked pharmacokinetic interference has been reported between gemfibrozil and repaglinide and, to a lesser extent, between gemfibrozil and rosiglitazone. This leads to a drastic increase in plasma concentrations of each antihyperglycaemic agent when they are coadministered with the fibric acid derivative, and an increased risk of adverse effects. Some antihypertensive agents may favour hypoglycaemic episodes when co-prescribed with sulphonylureas or meglitinide derivatives, especially ACE inhibitors, but this effect seems to result from a pharmacodynamic drug-drug interaction rather than from a pharmacokinetic drug-drug interaction. No, or only modest, interferences have been described with glucose-lowering agents and other pharmacological compounds such as digoxin or warfarin. The effects of inducers or inhibitors of CYP isoenzymes on the metabolism and pharmacokinetics of the glucose-lowering agents of each pharmacological class has been tested. Significantly increased (with CYP inhibitors) or decreased (with CYP inducers) plasma levels of sulphonylureas, meglitinide derivatives and thiazolidinediones have been reported in healthy volunteers, and these pharmacokinetic changes may lead to enhanced or reduced glucose-lowering action, and thus hypoglycaemia or worsening of metabolic control, respectively. In addition, some case reports have evidenced potential drug-drug interactions with various antihyperglycaemic agents that are usually associated with a higher risk of hypoglycaemia.

Pioglitazone: a review of its use in type 2 diabetes mellitus

Pioglitazone is an antihyperglycaemic agent that, in the presence of insulin resistance, increases hepatic and peripheral insulin sensitivity, thereby inhibiting hepatic gluconeogenesis and increasing peripheral and splanchnic glucose uptake. Pioglitazone is generally well tolerated, weight gain and oedema are the most common emergent adverse events, and there are no known drug interactions between pioglitazone and other drugs. In clinical trials in patients with type 2 diabetes mellitus, pioglitazone as monotherapy, or in combination with metformin, repaglinide, insulin or a sulphonylurea, induced both long- and short-term improvements in glycaemic control and serum lipid profiles. Pioglitazone was also effective in reducing some measures of cardiovascular risk and arteriosclerosis. Pioglitazone thus offers an effective treatment option for the management of patients with type 2 diabetes.

Pioglitazone: an antidiabetic drug with the potency to reduce cardiovascular mortality

Pioglitazone is an antidiabetic drug known to decrease peripheral, hepatic and vascular insulin resistance by the stimulation of PPARgamma. In clinical trials, pioglitazone as monotherapy or in combination with other oral antidiabetic drugs or insulin has demonstrated to effectively improve blood glucose levels, long-term glucose control and the lipid profile. The vascular effects of pioglitazone include improvement of endothelial function and microcirculation, reduction of blood pressure and inflammatory surrogate markers of atherosclerosis, and a reduction of a composite measure of macrovascular events (death, stroke and myocardial infarctions). The drug is well tolerated and has an acceptable side effect profile. Because of its additional microvascular and macrovascular effects, pioglitazone is an attractive and effective treatment option for the management of Type 2 diabetes mellitus.

Pioglitazona. Revisión de sus efectos metabólicos y sistémicos

Type 2 diabetes mellitus has become a true epidemic and significant growth is expected in the next decades. Thus it could be expected that the impact it may have on the incidence and prevalence of cardiovascular morbidity-mortality will have considerable magnitudes. It has been demonstrated that adequate metabolic control (glycemic and lipid) of these patients, beginning with diet and exercise programs and then with drug measures, decreases the risk of complications. However, several studies have shown that metabolic control deteriorates over time regardless of the treatment used. In recent years, a new drug family has been incorporated into the therapeutic armamentarium to treat type 2 diabetes mellitus. These are thiazolidinediones or glitazones, which have differential aspects regarding other drugs. In this article, the metabolic and systemic effects of pioglitazone, that have recently demonstrated a positive effect in the secondary prevention of cardiovascular episodes in the PROactive study have been reviewed.

A literature search on pharmacokinetic drug interactions of statins and analysis of how such interactions are reflected in package inserts in Japan

BACKGROUND AND OBJECTIVES

Statins (HMG-CoA reductase inhibitors) are one of the most widely prescribed classes of drugs throughout the world, because of their excellent cholesterol-lowering effect and overall safety profile except for rare but fatal rhabdomyolysis arising either directly or indirectly by pharmacokinetic interactions with certain other drugs. As package inserts in pharmaceuticals are the primary source of information for health care providers, we carried out a literature search to examine how crucial information was provided in package inserts of five statins approved in Japan (simvastatin, atorvastatin, fluvastatin, pravastatin and pitavastatin).

METHODS

A MEDLINE search from 1996 to June 2004 was carried out to identify studies on clinical pharmacokinetic drug interactions for the five statins. We mainly collected information on area under plasma concentration (AUC) following co-administration of statins with other drugs. The current package inserts used in Japan were obtained from the website of the Pharmaceutical and Medical Device Agency whereas USA package inserts were obtained from the Food and Drug Administration website.

RESULTS

The majority of package inserts listed the drugs that interacted with statins with most describing the risk of rhabdomyolysis because of the possibility of increases in blood concentration. However, quantitative information such as change in AUC was provided in only a few cases. Instructions for dosage adjustment are seldom provided in the Japanese package inserts. USA package inserts list almost identical drug interactions as the Japanese package inserts, although they contain more quantitative data, especially for typical cytochrome P450 (CYP) inhibitors.

CONCLUSION

All pharmacokinetic drug interactions including relevant quantitative data for potential effectors and details on mechanisms of interaction need to be given in package inserts as soon as the information becomes available, to ensure safe and proper use of the drugs concerned. Including such information in the package insert will be an extremely valuable aid for health care providers.

Dramatic synergistic anticancer effect of clinically achievable doses of lovastatin and troglitazone

Lovastatin (an HMG-CoA reductase inhibitor) and troglitazone (a PPAR-gamma agonist) have been intensively studied prospectively for their application in cancer treatment. However, clinical trials of lovastatin or troglitazone in cancer treatment resulted in only limited responses. To improve their efficacy, lovastatin and troglitazone have, respectively, been tried to combine with other anticancer agents with varied outcomes. In our study, we found a dramatic synergism between lovastatin and troglitazone in anticancer at clinically achievable concentrations. This synergism was found in far majority of cell lines tested including DBTRG 05 MG (glioblastoma) and CL1-0 (lung). This amazing synergism was accompanied by synergistic modulation of E2F-1 and p27(Kip1), which were reported to mediate the anticancer activities of lovastatin and troglitazone, respectively, and other cell cycle regulating proteins such as CDK2, cyclin A and RB phosphorylation status. With this dramatic combination effect of lovastatin and troglitazone, a promising regimen of cancer therapy may be materialized in the future.

Interaction between Amlodipine and Simvastatin in Patients with Hypercholesterolemia and Hypertension

3-Hydroxy-3-methylglutaryl-coenzyme A (HMG-CoA) reductase inhibitors are often prescribed in association with antihypertensive agents, including calcium antagonists. Simvastatin is an HMG-CoA reductase inhibitor that is metabolized by the cytochrome P450 (CYP) 3A4. The calcium antagonist amlodipine is also metabolized by CYP3A4. The purpose of this study was to investigate drug interactions between amlodipine and simvastatin. Eight patients with hypercholesterolemia and hypertension were enrolled. They were given 4 weeks of oral simvastatin (5 mg/day), followed by 4 weeks of oral amlodipine (5 mg/day) co-administered with simvastatin (5 mg/day). Combined treatment with simvastatin and amlodipine increased the peak concentration (C(max)) of HMG-CoA reductase inhibitors from 9.6 +/- 3.7 ng/ml to 13.7 +/- 4.7 ng/ml (p < 0.05) and the area under the concentration-time curve (AUC) from 34.3 +/- 16.5 ng h/ml to 43.9 +/- 16.6 ng h/ml (p < 0.05) without affecting the cholesterol-lowering effect of simvastatin. This study is the first to determine prospectively the pharmacokinetic and pharmacodynamic interaction between amlodipine and simvastatin.

Efficacy and safety of ezetimibe co-administered with simvastatin in thiazolidinedione-treated type 2 diabetic patients

AIM

In patients with type 2 diabetes mellitus (T2DM), combination therapy is usually required to optimize glucose metabolism as well as to help patients achieve aggressive targets for low-density lipoprotein cholesterol (LDL-C) and other lipid parameters associated with cardiovascular risk. The thiazolidinediones (TZDs) are increasingly being used for both their blood glucose-lowering properties and their modest beneficial effects on triglycerides (TG) and high-density lipoprotein cholesterol (HDL-C). Ezetimibe, an intestinal cholesterol absorption inhibitor, has a mechanism of action that differs from that of statins, which inhibit hepatic cholesterol synthesis. We compared the lipid-modifying efficacy and safety of adding ezetimibe to simvastatin, vs. doubling the dose of simvastatin, in TZD-treated T2DM patients.

METHODS

This was a randomized, double-blind, parallel group, multicentre study in T2DM patients, 30-75 years of age, who had been on a stable dose of a TZD for at least 3 months and had LDL-C > 2.6 mmol/l (100 mg/dl) prior to study entry. Other antidiabetic medications were also allowed. Following 6 weeks of open-label simvastatin 20 mg/day, patients were randomized to the addition of either blinded ezetimibe 10 mg/day (n = 104) or an additional blinded simvastatin 20 mg/day (total simvastatin 40 mg/day; n = 110) for 24 weeks. Patients were stratified according to TZD type and dose (pioglitazone 15-30 vs. 45 mg/day; rosiglitazone 2-4 vs. 8 mg/day).

RESULTS

LDL-C was reduced more (p < 0.001) by adding ezetimibe 10 mg to simvastatin 20 mg (-20.8%) than by doubling the dose of simvastatin to 40 mg (-0.3%). Ezetimibe plus simvastatin 20 mg also produced significant incremental reductions in non-HDL-C (p < 0.001), very low-density lipoprotein cholesterol (p < 0.05) and apolipoprotein B (p < 0.001) relative to simvastatin 40 mg. There were no differences between the groups with respect to changes in TG and HDL-C levels, and both treatments were well tolerated.

CONCLUSIONS

Co-administration of ezetimibe with simvastatin, a dual inhibition treatment strategy targeting both cholesterol synthesis and absorption, is well tolerated and provides greater LDL-C-lowering efficacy than increasing the dose of simvastatin in T2DM patients taking TZDs.

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.

Determination of cytochrome P450 1A2 and cytochrome P450 3A4 induction in cryopreserved human hepatocytes

Freshly prepared human hepatocytes are considered as the 'gold standard' for in vitro testing of drug candidates. However, several disadvantages are associated with the use of this model system. The availability of hepatocytes is often low and consequently the planning of the experiments rendered difficult. In addition, the quality of the available cells is in some cases poor. As an alternative, cryopreserved human hepatocytes were validated as a model to study cytochrome P450 1A2 (CYP1A2) and cytochrome P450 3A4 (CYP3A4) induction. In a single blinded experiment, hepatocytes from three separate lots were incubated with three concentrations of different compounds, and compared to non-treated cells and cells incubated with omeprazole or rifampicin. CYP1A2 and CYP3A4 induction was determined by measuring 7-ethoxyresorufin-O-deethylation activity and 6beta-hydroxytestosterone formation, respectively. CYP1A2 and CYP3A4 mRNA and protein expression were analyzed by TaqMan QRT-PCR and immunodetection. Cells responded well to the prototypical inducers with a mean 38.8- and 6.2-fold induction of CYP1A2 and CYP3A4 activity, respectively. Similar as with fresh human hepatocytes, high batch-to-batch variation of CYP1A2 and CYP3A4 induction was observed. Except for 1 and 10 microM rosiglitazone, the glitazones did not significantly affect CYP1A2. A similar result was observed for CYP3A4 activity although CYP3A4 mRNA and protein expression were dose-dependently upregulated. In conclusion, cryopreserved human hepatocytes may be a good alternative to fresh hepatocytes to study CYP1A and 3A induction.

Vitamin E, nuclear receptors and xenobiotic metabolism

Supplemental vitamin E (alpha-tocopherol) is taken daily by more than 35 million people in the US. Following absorption and liver uptake, the fate of vitamin E is largely unknown. Of potential importance are recent clinical studies that have reported adverse effects of vitamin E that may be directly related to its hepatic metabolism. In an in vitro system, both vitamin E and rifampicin, a known stimulator of xenobiotic metabolism, activated the pregnane X receptor (PXR), an orphan nuclear receptor. PXR as a heterodimer with the retinoid X receptor (RXR), binds to specific cis-elements in the promoter regions of genes. PXR/RXR regulates a constellation of genes involved in xenobiotic detoxification, including oxidation, conjugation, and transporters. Importantly, PXR/RXR regulates the cytochrome P450 (CYP), CYP3A, involved in the hepatic detoxification of more than 50% of prescription drugs. Vitamin E acting as a PXR ligand could alter these PXR-mediated reactions. Unfortunately, the extent to which pharmacologic doses of vitamin E modulate these pathways in vivo has not been determined.

Effects of simvastatin on the lipid profile and attainment of low-density lipoprotein cholesterol goals when added to thiazolidinedione therapy in patients with type 2 diabetes mellitus: A multicenter, randomized, double-blind, placebo-controlled trial

BACKGROUND

Coronary heart disease is the major cause of mortality in individuals with diabetes mellitus (DM). Given the increasingly aggressive low-density lipoprotein cholesterol (LDL-C) goals for patients with DM set by the National Cholesterol Education Program Adult Treatment Panel III and the American Diabetes Association, many patients remain above target. Treatment with thiazolidinediones (TZDs) improves glycemic control but does not lower (and may raise) LDL-C concentrations.

OBJECTIVE

This study assessed the lipid-modifying efficacy and tolerability of adding the hydroxymethylglutaryl coenzyme A-reductase inhibitor simvastatin to existing TZD therapy in patients with type 2 DM.

METHODS

This was a multicenter, randomized, double-blind, placebo-controlled, parallel-group trial. Patients with type 2 DM who were taking a stable dose of pioglitazone or rosiglitazone and had a glycosylated hemoglobin (HbA1c) value < or =9.0% and an LDL-C concentration > 100 mg/dL were randomized to receive simvastatin 40 mg (the recommended initial dose for patients with DM) or placebo for 24 weeks. The primary end point was the effect of treatment on LDL-C concentrations. Other lipid, lipoprotein, and safety measures were also assessed.

RESULTS

Two hundred fifty-three patients (127 [50.2%] men, 126 [49.8%] women; mean age, 56 years) were randomized to treatment (123 simvastatin, 130 placebo). At the end of the study, mean LDL-C concentrations were reduced 34.)% from baseline (from 134.3 to 89.5 mg/dL) in the simvastatin group and were unchanged in the placebo group (P<0.001). Simvastatin produced significant reductions in concentrations of total cholesterol, triglycerides (TG), non-high-density lipoprotein cholesterol, and apolipoprotein (apo) B compared with placebo (all, P<0.001 ) and significant increases in concentrations of high-density lipoprotein cholesterol (HDL-C) ( P=0.002 ) and apo A-I ( P=0.006 ). In patients who had not attained target concentrations of LDL-C (<100 mg/dL), TG (<150 mg/dL), or HDL-C (>45 mg/dL) at baseline, significantly more simvastatin recipients had achieved these goals at the end of the study compared with placebo recipients (LDL-C: 67.3% vs 5.2%, respectively, P<0.001; HDL-C: 95.3% vs 83.6%, P<0.05; TG: 40.8% vs 11.0%, P<0.001 ). Simvastatin was well tolerated, and no clinically meaningful differences in the incidence of serious adverse events, treatment-related adverse events, or discontinuations due to adverse events were observed between groups. There were no significant between-group differences in glycemic control (HbA1c) or concentrations of fasting insulin, creatine phosphokinase, or hepatic transaminases.

CONCLUSION

Simvastatin was an effective and generally well tolerated treatment for hyperlipidemia when used in combination with TZD therapy in this population of patients with type 2 DM.

Statin-exposed vascular smooth muscle cells secrete proteoglycans with decreased binding affinity for LDL

Retention of LDL in the artery intima is mediated by extracellular matrix proteoglycans and plays an important role in the initiation of atherosclerosis. Compared with quiescent cells, proliferating smooth muscle cells secrete proteoglycans with elongated glycosaminoglycan side chains, which have an increased binding affinity to LDL. Because 3-hydroxy-3-methylglutaryl-CoA reductase inhibitors (statins) decrease smooth muscle cell proliferation, we hypothesized that statin exposure would decrease both the size and LDL binding affinity of vascular proteoglycans. Monkey aortic smooth muscle cells grown in culture were exposed to simvastatin (10 and 100 microM) and cerivastatin (0.1 and 1 microM), and newly secreted proteoglycans were quantified and characterized. Both simvastatin and cerivastatin caused a concentration-dependent reduction in cell growth and reduced 35SO4 incorporation into secreted proteoglycans, on both an absolute and a per cell basis. Interestingly, statin exposure increased the apparent molecular weight and hydrodynamic size of secreted proteoglycans. However, proteoglycans secreted from statin-exposed cells demonstrated a reduction in binding affinity to LDL. Thus, statins may induce atheroprotective changes in vascular proteoglycans and lower LDL retention in the vessel wall. These findings suggest a mechanism whereby statins may benefit atherosclerosis in a manner unrelated to serum LDL lowering.

Troglitazone induces CYP3A4 activity leading to falsely abnormal dexamethasone suppression test

After evaluating a patient who appeared to have a falsely abnormal response to the dexamethasone suppression test while taking troglitazone, we examined the effects of troglitazone on the activity of hepatic CYP3A4 and the screening tests for Cushing's syndrome. We studied five healthy women and three healthy men, aged 25 +/- 2 yr, before and after treatment with troglitazone (600 mg daily) for 28 d. Baseline 0800 h cortisol and corticosterone were similar before and after troglitazone treatment. Before troglitazone treatment, all subjects suppressed 0800 h cortisol below 1.8 micro g/dl (mean, 0.66 +/- 0.08 micro g/dl) during the 1-mg overnight dexamethasone suppression test (DST), whereas during troglitazone treatment none of the subjects suppressed 0800 h cortisol below 1.8 micro g/dl (mean, 9.0 +/- 1.8 micro g/dl). Serum dexamethasone levels decreased by 66 +/- 4%, and the erythromycin breath test measurements increased by 27 +/- 8%, indicating increased CYP3A4 activity during troglitazone treatment. The hydrocortisone suppression test (HST) was performed by administering 50 mg hydrocortisone at 2300 h. Using the criterion of suppression of 0800 h plasma corticosterone by more than 50%, the specificity of the HST was 100% both before and after troglitazone treatment. In conclusion, troglitazone induced the activity of CYP3A4 leading to falsely abnormal DST. HST is a useful alternative to the DST in patients taking medications that increase the activity of CYP3A4.

Pioglitazone: effect on CYP3A4 activity

Clinical studies demonstrate CYP3A4 enzyme induction with troglitazone, a thiazolidinedione derivative structurally related to pioglitazone. The objective of this prospective, open-label study conducted in healthy volunteers was to evaluate the influence of multiple-dose pioglitazone therapy on the urinary excretion ratio of 6-beta-hydroxycortisol to cortisol, an endogenous marker of CYP3A4 activity. Twelve subjects were given pioglitazone hydrochloride 45 mg daily for 14 days. Urine was collected over a 24-hour period before pioglitazone and after administration of the last tablet. Baseline and posttreatment CYP3A4 activity was assessed with the urinary 6-beta-hydroxycortisol/cortisol ratio. The mean +/- SD 6-beta-hydroxycortisol/cortisol ratios before and after treatment were 8.3 +/- 4.4 and 9.4 +/- 4.0, respectively (p = 0.29). The mean change from baseline was a nonsignificant 20.2%. Nine subjects had a small increase and 3 subjects had a reduction in the ratio. Using the ratio as a marker of CYP3A4 activity, the data support a lack of inductive effect on CYP3A4 by multiple-dose pioglitazone therapy. Thus, administration of pioglitazone should not result in clinically significant effects on the pharmacokinetics of other CYP3A4 substrates.

A review of the common properties of drugs with idiosyncratic hepatotoxicity and the "multiple determinant hypothesis" for the manifestation of idiosyncratic drug toxicity

Idiosyncratic drug toxicity is generally believed to be a phenomenon that cannot be readily evaluated experimentally. Reasons for this difficulty include the following: 1. It is a rare event (<1/5,000) and therefore impossible to be studied in clinical trials; 2. It is a human-specific event not detectable in experimental animals. To aid the understanding of idiosyncratic toxicity and to develop an experimental strategy for this phenomenon, a hypothesis is proposed. The hypothesis states that the low frequency of idiosyncratic drug toxicity is due to the requirements for the occurrence of multiple critical and discrete events, with the probability for the occurrence of idiosyncratic drug toxicity as a product of the probabilities of each event. The key determinants of these critical events are proposed to be: 1. Chemical properties; 2. exposure; 3. environmental factors; and 4. genetic factors. Based on this hypothesis, idiosyncratic drug toxicity can be evaluated experimentally via studying these key determinants. The chemical properties critical to idiosyncratic drug toxicity are identified via a review of the common properties of drugs that cause idiosyncratic liver toxicity. These properties include: 1. Formation of reactive metabolites. 2. Metabolism by P450 isoforms. 3. Preponderance of P450 inducers, and 4. Occurrence of clinically significant pharmacokinetic interactions with co-administered drugs. Based on this review, it is proposed that these common properties may be useful experimental endpoints for the prediction and therefore avoidance of the selection of drug candidates with idiosyncratic drug toxicity for further development.

A prospective, randomized comparison of the metabolic effects of pioglitazone or rosiglitazone in patients with type 2 diabetes who were previously treated with troglitazone

OBJECTIVE

To characterize potential differences in glycemic control, plasma lipid level, and weight in a cohort of patients previously treated with troglitazone (TROG) who were switched to either pioglitazone or rosiglitazone.

RESEARCH DESIGN AND METHODS

After a 2-week washout from TROG, 186 patients were randomly assigned to receive either pioglitazone (PIO) or rosiglitazone (ROSI). Weight, HbA(1c), and fasting lipid profile were documented before discontinuing TROG and at 4 months after starting either pioglitazone or rosiglitazone. Secondarily, the effect of concurrent medications on study outcomes was assessed.

RESULTS

A total of 127 patients completed follow-up: 67 individuals in the PIO group (32 women, 35 men) and 60 individuals in the ROSI group (33 women, 27 men). There were no significant differences in gender mix, age, weight, fasting lipid profile, or HbA(1c) between the ROSI and PIO groups. After 4 months of randomized treatment, no change in HbA(1c) from baseline between or within groups was noted. Both groups experienced an equal and significant increase in weight from baseline of approximately 2.0 kg. Thiazolidinedione and HMG-CoA reductase inhibitor therapy had significant and independent effects on lipid profile (P < 0.005). Significant improvements in lipid profile were noted in the PIO group (P < 0.01), whereas none were detected with conversion to ROSI. Specifically, the PIO group experienced an average decrease in total cholesterol of approximately 20 mg/dl.

CONCLUSIONS

Differing effects on lipid profile were apparent after random conversion from TROG to either PIO or ROSI, despite similar weight increase and glycemic control. The clinical significance of these differences remains to be determined, and further comparative research is warranted.