Early clinical drug product shelf-life setting using accelerated predictive stability and metabolite data for impurity qualification: A case study.

This case study demonstrates how knowledge of degradation products together with predictions can establish a lean stability strategy using the accelerated predictive stability (APS) principles. Applying all available data for AZD4831, (R)-1-(2-(1-aminoethyl)-4-chlorobenzyl)-2-thioxo-2,3-dihydro-1H-pyrrolo[3,2-d]pyrimidin-4(5H)-one, a reliable predictive model was developed despite minor differences in technical batch tablet compositions. Early forced degradation studies were performed to map potential degradation pathways.

Characterization and demonstration of drug compound ring-chain tautomer formation and its impacts on quality control.

Unknown chromatographic peaks, potential impurities, were observed in a series of related compounds. This led to the identification and characterization of tautomeric equilibria. Structural elucidation was required to understand the potential impurity profile, thus impacting method development for quality control.