Predictivity of non-clinical repolarization assay data for clinical TQT data in FDA database
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概要
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Drug-induced QT interval prolongation and Torsades de Pointes remain serious public health issues when new pharmaceuticals are brought to the market place. Under the auspices of ILSI Health and Environmental Sciences Institute (HESI), a consortium involving representatives from pharmaceutical companies and regulatory agencies has been initiated. One objective is to assess the predictivity of non-clinical repolarization assays in relation to clinical measures of QT interval prolongation, i.e., establish a quantitative risk assessment for individual compounds. To this end, the consortium conducted a retrospective analysis of non-clinical and clinical data housed in the U.S. Food and Drug Administration database. This presentation will provide a final analysis of the predictivity of data from Thorough clinical QT (TQT) studies and nonclinical studies submitted to support marketing approval of >150 new pharmaceuticals. Nonclinical studies analyzed include in vitro ion channel assays for effects on hERG current, action potential duration (ADP) in isolated cardiac tissue, and in vivo ECG studies (QTc). Normalized concentration response data is compiled for each assay and compared across studies to determine the predictivity of nonclinical to clinical data. This analysis will be shared along with estimation of sensitivity and specificity of these assays at various nonclinical to clinical exposure multiples. The results suggest that a robust non-clinical risk assessment provides reasonable predictivity when the clinical QT signal is of sufficient magnitude (>10ms).
- 日本毒性学会の論文
日本毒性学会 | 論文
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