Inhibitor Report for: Carmegliptin

PURPOSE: The purpose of this exercise was to explore the utility of allometric scaling approach for the prediction of intravenous and oral pharmacokinetics of six dipeptidy peptidase-IV (DPP-IV) inhibitors viz. ABT-279, ABT-341, alogliptin, carmegliptin, sitagliptin and vildagliptin. METHODS: The availability of intravenous and oral pharmacokinetic data in animals enabled the allometry scaling of 6 DPP-IV inhibitors. The relationship between the main pharmacokinetic parameters [viz. volume of distribution (Vd) and clearance (CL)] and body weight was studied across three or four mammalian species, using double logarithmic plots to predict the human pharmacokinetic parameters of CL and Vd using simple allometry. RESULTS: A simply allometry relationship: Y = aWb was found to be adequate for the prediction of intravenous and oral human clearance/volume of distribution for DPP-IV inhibitors. The allometric equations for alogliptin, carmegliptin, sitagliptin, vildagliptin, ABT-279 and ABT-341 were 1.867W0.780, 1.170W0.756, 2.020W0.529, 1.959 W0.847, 0.672 W1.016, 1.077W 0.649, respectively, to predict intravenous clearance (CL) and the corresponding equations to predict intravenous volume of distribution (Vd) were: 3.313W0.987, 6.096W0.992, 7.140W0.805, 2.742W0.941, 1.299W0.695 and 5.370W0.803. With the exception of a few discordant values the exponent rule appeared to hold for CL (0.75) and Vd (1.0) for the predictions of various DPP-IV inhibitors. Regardless of the routes, the predicted values were within 2-3 fold of observed values and intravenous allometry was better than oral allometry. CONCLUSION: Simple allometry retrospectively predicted with reasonable accuracy the human reported values of gliptins and could be used as a prospective tool for this class of drugs.

The pharmacokinetics and excretion of carmegliptin, a novel dipeptidyl peptidase IV inhibitor, were examined in rats, dogs, and cynomolgus monkeys. Carmegliptin exhibited a moderate clearance, extensive tissue distribution, and a variable oral bioavailability of 28-174%. Due to saturation of intestinal active secretion, the area under the plasma concentration-time curve (AUC) in dogs and monkeys increased in a more than dose-proportional manner over an oral dose range of 2.5-10 mg/kg. Following oral administration of [(14)C]carmegliptin at 3 mg/kg, > 94% of the radioactive dose was recovered in 72-h post-dose from Wistar rats and Beagle dogs. Virtually, the entire administered radioactive dose was excreted unchanged in urine, intestinal lumen, and bile. Approximately 36%, 29%, and 19% of the dose were excreted by respective routes. Consistently, in vitro, carmegliptin was highly resistant to hepatic metabolism in all species tested. Based on in vitro studies, carmegliptin is a good substrate for Mdr1/MDR1. Breast cancer resistance protein (Bcrp) is not expected to be involved in the transport of carmegliptin since in vitro carmegliptin was not significantly transported by this transporter. The very high extravascular distribution of carmegliptin in the intestinal tissues, as demonstrated in Wistar rats and Beagle dogs, could play a significant role in its therapeutic effect.

Design, synthesis, and SAR are described for a class of DPP-IV inhibitors based on aminobenzo[a]quinolizines with non-aromatic substituents in the S1 specificity pocket. One representative thereof, carmegliptin (8p), was chosen for clinical development. Its X-ray structure in complex with the enzyme and early efficacy data in animal models of type 2 diabetes are also presented.

PURPOSE: The purpose of this exercise was to explore the utility of allometric scaling approach for the prediction of intravenous and oral pharmacokinetics of six dipeptidy peptidase-IV (DPP-IV) inhibitors viz. ABT-279, ABT-341, alogliptin, carmegliptin, sitagliptin and vildagliptin. METHODS: The availability of intravenous and oral pharmacokinetic data in animals enabled the allometry scaling of 6 DPP-IV inhibitors. The relationship between the main pharmacokinetic parameters [viz. volume of distribution (Vd) and clearance (CL)] and body weight was studied across three or four mammalian species, using double logarithmic plots to predict the human pharmacokinetic parameters of CL and Vd using simple allometry. RESULTS: A simply allometry relationship: Y = aWb was found to be adequate for the prediction of intravenous and oral human clearance/volume of distribution for DPP-IV inhibitors. The allometric equations for alogliptin, carmegliptin, sitagliptin, vildagliptin, ABT-279 and ABT-341 were 1.867W0.780, 1.170W0.756, 2.020W0.529, 1.959 W0.847, 0.672 W1.016, 1.077W 0.649, respectively, to predict intravenous clearance (CL) and the corresponding equations to predict intravenous volume of distribution (Vd) were: 3.313W0.987, 6.096W0.992, 7.140W0.805, 2.742W0.941, 1.299W0.695 and 5.370W0.803. With the exception of a few discordant values the exponent rule appeared to hold for CL (0.75) and Vd (1.0) for the predictions of various DPP-IV inhibitors. Regardless of the routes, the predicted values were within 2-3 fold of observed values and intravenous allometry was better than oral allometry. CONCLUSION: Simple allometry retrospectively predicted with reasonable accuracy the human reported values of gliptins and could be used as a prospective tool for this class of drugs.

OBJECTIVE: The primary objective of this study was to investigate the interaction potential of carmegliptin with P-glycoprotein transporter in vitro and in vivo. A secondary objective was to investigate the safety and tolerability of carmegliptin alone or co-administered with verapamil. RESEARCH DESIGN AND METHODS: The inhibition potential of carmegliptin was tested in vitro and in a non-randomized open-label study in 16 healthy male volunteers. On day 1 a single dose of carmegliptin (150 mg) was given, followed by a single dose of verapamil (80 mg) on day 7, on day 10 a single dose of carmegliptin (150 mg) together with verapamil (80 mg t.i.d.), and verapamil (80 mg t.i.d.) on days 11-14. Finally, on day 15 a single dose of 150 mg carmegliptin together with 80 mg t.i.d. verapamil was administered. Pharmacokinetic and safety parameters were assessed. RESULTS: Carmegliptin showed in vitro a low cell permeability and was a good substrate for human MDR1 cells. When carmegliptin was taken with verapamil, the mean exposure and C max to carmegliptin increased by 29% and 53%, respectively. Increases in exposure were slightly greater on the sixth day of verapamil dosing than on the first day. Verapamil C max was 17% lower on average when given with carmegliptin than when verapamil was taken alone, and similar trends were apparent in corresponding norverapamil pharmacokinetics. All reported adverse events (n = 28) were mild in intensity, and verapamil had no apparent effect on the pattern or incidence of events. CONCLUSIONS: In vitro, carmegliptin is a substrate but not an inhibitor of human Pgp. Consistently, the co-administration of carmegliptin with verapamil altered the pharmacokinetics of carmegliptin slightly and moderately increased the exposure. Peak exposure of verapamil and its metabolite norverapamil tended to be lower when co-administered with carmegliptin. The combination of carmegliptin and verapamil was generally well tolerated. Although the observed overall changes in pharmacokinetics were small and dose adjustments in clinics are currently not expected, co-administration of carmegliptin with Pgp inhibitors should be carefully monitored in future clinical trials.

Three-dimensional pharmacophore hypothesis was established based on a set of known DPP-IV inhibitor using PharmaGist software program understanding the essential structural features for DPP-IV inhibitor. The various marketed or under developmental status, potential gliptins have been opted to build a pharmacophore model, e.g. Sitagliptin (MK- 0431), Saxagliptin, Melogliptin, Linagliptin (BI-1356), Dutogliptin, Carmegliptin, Alogliptin and Vildagliptin (LAF237). PharmaGist web based program is employed for pharmacophore development. Four points pharmacophore with the hydrogen bond acceptor (A), hydrophobic group (H), Spatial Features and aromatic rings (R) have been considered to develop pharmacophoric features by PharmaGist program. The best pharmacophore model bearing the Score 16.971, has been opted to screen on ZincPharmer database to derive the novel potential anti-diabetic ligands. The best pharmacophore bear various Pharmacophore features, including General Features 3, Spatial Features 1, Aromatic 1 and Acceptors 2. The PharmaGist employed algorithm to identify the best pharmacophores by computing multiple flexible alignments between the input ligands. The multiple alignments are generated by combining alignments pair-wise between one of the gliptin input ligands, which acts as pivot and the other gliptin as ligand. The resulting multiple alignments reveal spatial arrangements of consensus features shared by different subsets of input ligands. The best pharmacophore model has been derived using both pair-wise and multiple alignment methods, which have been weighted in Pharmacophore Generation process. The highest-scoring pharmacophore model has been selected as potential pharmacophore model. In conclusion, 3D structure search has been performed on the "ZincPharmer Database" to identify potential compounds that have been matched with the proposed pharmacophoric features. The 3D ZincPharmer Database has been matched with various thousands of Ligands hits. Those matches were screened through the RMSD and max hits per molecule. The physicochemical properties of various "ZincPharmer Database" screened ligands have been calculated by PaDELDescriptor software. The all "ZincPharmer Database" screened ligands have been filtered based on the Lipinski's rule-of-five criteria (i.e. Molecular Weight < 500, H-bond acceptor <= 10, H-bond donor <= 5, Log P <= 5) and were subjected to molecular docking studies to get the potential antidiabetic ligands. We have found various substituted as potential antidiabetic ligands, which can be used for further development of antidiabetic agents. In the present research work, we have covered rational of DPP-IV inhibitor based on Ligand-Based Pharmacophore detection, which is validated via the Docking interaction studies as well as Maximal Common Substructure (MCS).

The pharmacokinetics and excretion of carmegliptin, a novel dipeptidyl peptidase IV inhibitor, were examined in rats, dogs, and cynomolgus monkeys. Carmegliptin exhibited a moderate clearance, extensive tissue distribution, and a variable oral bioavailability of 28-174%. Due to saturation of intestinal active secretion, the area under the plasma concentration-time curve (AUC) in dogs and monkeys increased in a more than dose-proportional manner over an oral dose range of 2.5-10 mg/kg. Following oral administration of [(14)C]carmegliptin at 3 mg/kg, > 94% of the radioactive dose was recovered in 72-h post-dose from Wistar rats and Beagle dogs. Virtually, the entire administered radioactive dose was excreted unchanged in urine, intestinal lumen, and bile. Approximately 36%, 29%, and 19% of the dose were excreted by respective routes. Consistently, in vitro, carmegliptin was highly resistant to hepatic metabolism in all species tested. Based on in vitro studies, carmegliptin is a good substrate for Mdr1/MDR1. Breast cancer resistance protein (Bcrp) is not expected to be involved in the transport of carmegliptin since in vitro carmegliptin was not significantly transported by this transporter. The very high extravascular distribution of carmegliptin in the intestinal tissues, as demonstrated in Wistar rats and Beagle dogs, could play a significant role in its therapeutic effect.

Design, synthesis, and SAR are described for a class of DPP-IV inhibitors based on aminobenzo[a]quinolizines with non-aromatic substituents in the S1 specificity pocket. One representative thereof, carmegliptin (8p), was chosen for clinical development. Its X-ray structure in complex with the enzyme and early efficacy data in animal models of type 2 diabetes are also presented.