Comparison of metabolic and mitogenic response in vitro of the rapid-acting insulin lispro product SAR342434, and US- and EU-approved Humalog®.

SAR342434 is a biosimilar of insulin lispro (Humalog® U-100). Batches of SAR342434 were compared with Humalog® batches of either EU or US origin in a panel of in vitro biological assays that included insulin binding to insulin receptor (IR) isoforms A (IR-A) and B (IR-B) and IR-A/IR-B autophosphorylation. A surface plasmon resonance biosensor-based assay was developed to characterize the kinetics of insulin binding to solubilized full-length IR-A or IR-B. Insulin-dependent metabolic activity assays included inhibition of lipolysis in in vitro differentiated human adipocytes, glucose uptake in L6-myocytes, and repression of glucose-6-phosphatase gene expression in human hepatocytes. Mitogenic activity assays included insulin binding to insulin-like growth factor-1 receptor (IGF1R), IGF1R autophosphorylation, and cell proliferation in MCF-7 cells. Weighted geometric means and their respective 95% confidence intervals (CI) were calculated for all 50% inhibitory or effective concentration values and kinetic binding constants for IR-A and IR-B. Statistical evaluation of the data demonstrated that the 90% CIs of the ratio of geometric means between SAR342434 and Humalog® EU or Humalog® US were within the predefined acceptance limits for each assay. Insulin lispro as SAR342434 solution demonstrated similarity to both US- and EU-approved Humalog® based on a side-by-side biological similarity assessment.

Integrated Synthesis and Testing of Substituted Xanthine Based DPP4 Inhibitors: Application to Drug Discovery.

A novel integrated discovery platform has been used to synthesize and biologically assay a series of xanthine-derived dipeptidyl peptidase 4 (DPP4) antagonists. Design, synthesis, purification, quantitation, dilution, and bioassay have all been fully integrated to allow continuous automated operation. The system has been validated against a set of known DPP4 inhibitors and shown to give excellent correlation between traditional medicinal chemistry generated biological data and platform data. Each iterative loop of synthesis through biological assay took two hours in total, demonstrating rapid iterative structure-activity relationship generation.