Pharmacokinetics, pharmacodynamics, and tolerability of aleglitazar in patients with type 2 diabetes: results from a randomized, placebo-controlled clinical study.

This multicenter, randomized, double-blind, placebo-controlled, ascending-dose study investigated the pharmacokinetics, pharmacodynamic effects, safety, and tolerability of aleglitazar, a novel peroxisome proliferator-activated receptor alpha/gamma (PPARalpha/gamma) dual agonist. After a 3-week washout period, 71 patients with type 2 diabetes received either a single oral dose of aleglitazar (20, 50, 100, 300, 600, or 900 microg) or placebo, followed by once-daily dosing for 6 weeks. Few adverse events were reported, with no apparent relationship between the rate of incidence or severity of the adverse events and the dose of aleglitazar administered. Aleglitazar exposure increased in a dose-proportional manner both after a single dose and at steady state, with no accumulation. Aleglitazar produced dose-dependent improvements in levels of fasting and postprandial glucose, insulin resistance, and lipid parameters. Dose-dependent decreases from baseline in creatinine clearance exceeded 10% at doses >300 microg. The PPARalpha- and PPARgamma-related effects occurred over similar dose ranges, indicating that aleglitazar is a balanced agonist of the two receptor subtypes.

Inhibition of gastrointestinal lipolysis by Orlistat during digestion of test meals in healthy volunteers.

The inhibition of digestive lipases by the antiobesity drug Orlistat along with lipolysis levels and fecal fat excretion were measured in healthy humans. Orlistat was found to be a powerful gastric lipase inhibitor, achieving 46.6--91.4% enzyme inhibition and thus greatly reducing gastric lipolysis of solid and liquid meals (11--33% of respective controls). Gastric lipase inhibition by Orlistat was extremely fast (half-inhibition time < 1 min). Duodenal lipolysis was reduced significantly by Orlistat given with the solid meal (32.6--37.6% of controls) but was only slightly reduced by Orlistat given with the liquid meal (74.5--100% of controls). Human pancreatic lipase (HPL) inhibition was found to be high (51.2--82.6%), however, regardless of the meal. These paradoxical results were explained when in vitro lipolysis experiments were performed. The rates of HPL inhibition by Orlistat were found to be similar with both types of meals (half-inhibition time 5--6 min), but the preemulsified triglycerides of the liquid meal were rapidly hydrolyzed by HPL before the enzyme was significantly inhibited by Orlistat. With the solid meal, the rate of hydrolysis of the meal triglycerides by HPL was slower than the rate of HPL inhibition by Orlistat. As predicted from the previous results, the effects of Orlistat on fat excretion levels were found to be much greater with the solid (40.5--57.4% of ingested fat) than with the liquid (4.2--18.8%) test meal.

Piperidine renin inhibitors: from leads to drug candidates.

Non-peptidomimetic renin inhibitors of the piperidine type represent a novel structural class of compounds potentially free of the drawbacks seen with peptidomimetic compounds so far. Synthetic optimization in two structural series focusing on improvement of potency, as well as on physicochemical properties and metabolic stability, has led to the identification of two candidate compounds 14 and 23. Both display potent and long-lasting blood pressure lowering effects in conscious sodium-depleted marmoset monkeys and double transgenic rats harboring both the human angiotensinogen and the human renin genes. In addition, 14 normalizes albuminuria and kidney tissue damage in these rats when given over a period of 4 weeks. These data suggest that treatment of chronic renal failure patients with a renin inhibitor might result in a significant improvement of the disease status.

Prediction of the pharmacokinetic parameters of reduced-dolasetron in man using in vitro-in vivo and interspecies allometric scaling.

1. Dolasetron (Anzemet) is a potent and selective 5-HT3 receptor antagonist which is rapidly and extensively reduced to yield its major pharmacologically active metabolite, reduced dolasetron (RD). RD is further metabolized by CYP450 enzymes as well as undergoing renal excretion. As both in vitro and in vivo data on RD were available from animals and man, two approaches to predict the human pharmacokinetic parameters of RD were assessed. 2. First, in vitro studies, using liver microsomes from animal species and man, were undertaken to measure Vmax and K(m) and to assess the intrinsic clearance (CLint). With appropriate liver weight and liver blood flow scaling factors the predicted in vivo metabolic clearance (CLm-pred) was calculated. Human CLm-pred was underestimated by a factor of 5 when it was calculated using the above scaling factors. As, in a prospective study, the observed human in vivo metabolic clearance (CLm-obs) is unknown, CLm-pred was substituted into the least-squares correlation equation obtained from a plot of CLm-pred against CLm-obs' using animal data. The estimate of human CLm-obs was improved as it was only underestimated by a factor of 1.5. 3. Second, allometric scaling of in vivo animal pharmacokinetic data, using body weight, was performed to predict pharmacokinetic parameters in man. Good predictions of human pharmacokinetic parameters of RD were obtained for plasma clearance (1.7 l/min predicted versus 1.61/min observed), half-life (6.0 h predicted versus 5.6 h observed), and volume of distribution (860.91 predicted versus 770.41 observed). 4. The integration of in vitro metabolic data from microsomes gave similar results to conventional allometric scaling, whereas the normalization of clearance by brain weight resulted in an approximately three-fold underestimation of human clearance. 5. For RD, a drug that is eliminated by both renal and metabolic clearance, retrospective conventional allometric scaling allowed accurate prediction of pharmacokinetic parameters in man, whereas in vitro-in vivo scaling resulted in an underestimation of in vivo CLm. Although these results are somewhat at variance, ideally both scaling methods should be applied to improve the prediction of human pharmacokinetic parameters.