Clinical Pharmacology Strategy

Validate Your Expertise in PK/PD NCA Analysis Through Certara Professional Certification

Maria Saluta

In the ongoing commitment to education and coinciding with the launch of Phoenix 8.1, Certara has introduced a new certification program available through Certara University. The new online accreditation program validates the scientists’ PK/PD data analysis skills using Certara software such as Phoenix WinNonlin and expands their professional reach. I caught up with Ana Henry, […]

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Topics: Clinical Pharmacology Strategy, PBPK Modeling & Simulation, PK/PD Modeling & Simulation

Overcoming Pitfalls and Challenges with Software Validation

Noreen Muscat

As a quality consultant and quality system subject matter expert in the Life Sciences Industry for over 25 years, I have worked for many pharmaceutical companies both large and small and as a consultant with many clients in the pharmaceutical, biotech, and medical device industries. These clients possess a range of experience in software validation—from […]

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Topics: PK/PD Modeling & Simulation

Accomplish More with Phoenix

Venkateswari Muthukrishnan

Phoenix 8.1, the newest version of Certara’s innovative PK/PD modeling and simulation software used globally by researchers and drug developers in pharma, academia, and regulatory agencies, will be available on June 15, 2018. Major enhancements were introduced in the Phoenix workbench last year. And as an ongoing commitment to support compliance and efficiency, many features […]

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Topics: PK/PD Modeling & Simulation

Using Model-based Meta-analysis to Improve Decision-making in Drug Development

Making the right choices in drug development often means the difference between getting a new medication to patients and it ending up in the scrap heap of failed programs. There is a surfeit of publicly available information on approved drugs as well as those currently in development. How can sponsors turn clinical trial data into understanding that helps chart the course for investigational drugs?

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Study Reanalysis Using a Mechanism-based Pharmacokinetic/Pharmacodynamic Model of Pramlintide in Subjects with Type 1 Diabetes

This report describes a pharmacokinetic/pharmacodynamic model for pramlintide, an amylinomimetic, in type 1 diabetes mellitus (T1DM). Plasma glucose and drug concentrations were obtained following bolus and 2-h intravenous infusions of pramlintide at three dose levels or placebo in 25 T1DM subjects during the postprandial period in a crossover study. The original clinical data were reanalyzed […]

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Population Pharmacokinetic Analysis of Dutogliptin, a Selective Dipeptidyl Peptidase-4 Inhibitor

Dutogliptin is a selective dipeptidyl peptidase-4 inhibitor shown to be efficacious and safe in patients with type 2 diabetes mellitus (T2DM). Population pharmacokinetic (PK) analysis of dutogliptin was performed based on data collected in 561 healthy subjects and patients with T2DM enrolled in Phase I and II studies to assess sources of variability and support […]

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Pharmacometric Approaches to Guide Dose Selection of the Novel GPR40 Agonist TAK-875 in Subjects with Type 2 Diabetes Mellitus

The G-protein-coupled receptor 40 agonist (GPR40) TAK-875 is being developed as an adjunct to diet and exercise to improve glycemic control in patients with type 2 diabetes mellitus. Pharmacometric approaches such as model-based exposure-response and meta-analyses were applied to (i) characterize exposure/dose-efficacy responses of TAK-875, (ii) characterize the time course of glycosylated hemoglobin A1c (HbA1c) […]

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Population Pharmacokinetic Model for a Novel Oral Hypoglycemic Formed In Vivo: Comparing the Use of Active Metabolite Data Alone Versus Using Data of Upstream and Downstream Metabolites

The purpose of this analysis was to develop a population pharmacokinetic model for CS-917, an oral hypoglycemic prodrug, and its 3 metabolites. The population pharmacokinetic model was used to predict exposure of the active moiety R-125338 and thus to identify potential CS-917 dosage reduction criteria.

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Model-based Meta-analysis of the HbA1c Lowering Effect of PF-04971729, a Sodium Glucose Co-transporter-2 Inhibitor (SGLT2i), In Comparison to Other SGLT2i and Anti-diabetic Agents (ADA)

PF-04971729 is a potent, selective SGLT2i in development for treatment of type 2 diabetes mellitus (T2DM). Since there is growing recognition of the need for comparative effectiveness of various ADA, a model was developed to quantify time course of dose vs HbA1c response of PF-04971729 relative to other ADA including SGLT2i, DPP4 inhibitors (DPP4i), GLP-1 […]

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Model-based Meta-analysis of the Effect on Body Weight of PF-04971729, a Sodium Glucose Co-transporter-2 Inhibitor (SGLT2i), in Comparison to Other SGLT2i and Anti-diabetic Agents (ADA)

PF-04971729 is a potent, selective SGLT2i in development for treatment of type 2 diabetes mellitus (T2DM). Since there is growing recognition of the need for comparative effectiveness of various ADA, a model was developed to quantify the time course of dose vs body weight change for PF-04971729 relative to other ADA including SGLT2i, DPP4 inhibitors […]

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3D-QSAR Studies and Molecular Docking on [5-(4-amino-1H-benzoimidazol-2-yl)-furan-2-yl]-phosphonic Acid Derivatives as Fructose-1,6-biphophatase Inhibitors

Fructose-1,6-biphophatase has been regarded as a novel therapeutic target for the treatment of type 2 diabetes mellitus (T2DM). 3D-QSAR and docking studies were performed on a series of [5-(4-amino-1H-benzoimidazol-2-yl)-furan-2-yl]-phosphonic acid derivatives as fructose-1,6-biphophatase inhibitors. The CoMFA and CoMSIA models using thirty-seven molecules in the training set gave rcv2 values of 0.614 and 0.598, r2 values […]

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The Use of Biosimulation in the Design of a Novel Multilevel Weight Loss Maintenance Program for Overweight Children

Weight loss outcomes achieved through conventional behavior change interventions are prone to deterioration over time. Basic learning laboratory studies in the area of behavioral extinction and renewal and multilevel models of weight control offer clues as to why newly acquired weight loss skills are prone to relapse.

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