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Ken S Ota

Publications and source records attributed to Ken S Ota.

5 recordsLinked to original sources
PubMed2006

The Cost-Time Index: a new method for measuring the efficiencies of recruitment-resources in clinical trials.

Paid media are important resources used to recruit subjects in clinical trials. An index for evaluating which advertising resource has minimal cost and time requirement for patient accrual, for a given study design, has not been previously introduced. In this communication the authors present a new index, the Cost-Time Index, which represents a measure of the average amount of money and time spent, simultaneously, on a given advertising resource to recruit one analyzable subject. This index can be calculated using retrospective data and may be a useful tool for comparing recruitment efficiencies among various resources. The authors demonstrate the utility of the Cost-Time Index and recommend its use as an additional variable in future studies regarding recruitment strategies in clinical trials.

Advertising↗
PubMed2004

An integrative biology approach for analysis of drug action in models of human vascular inflammation.

Unexpected drug activities discovered during clinical testing establish the need for better characterization of compounds in human disease-relevant conditions early in the discovery process. Here, we describe an approach to characterize drug function based on statistical analysis of protein expression datasets from multiple primary human cell-based models of inflammatory disease. This approach, termed Biologically Multiplexed Activity Profiling (BioMAP), provides rapid characterization of drug function, including mechanism of action, secondary or off-target activities, and insights into clinical phenomena. Using three model systems containing primary human endothelial cells and peripheral blood mononuclear cells in different environments relevant to vascular inflammation and immune activation, we show that BioMAP profiles detect and discriminate multiple functional drug classes, including glucocorticoids; TNF-alpha antagonists; and inhibitors of HMG-CoA reductase, calcineurin, IMPDH, PDE4, PI-3 kinase, hsp90, and p38 MAPK, among others. The ability of cholesterol lowering HMG-CoA reductase inhibitors (statins) to improve outcomes in rheumatic disease patients correlates with the activities of these compounds in our BioMAP assays. In addition, the activity profiles identified for the immunosuppressants mycophenolic acid, cyclosporin A, and FK-506 provide a potential explanation for a reduced incidence of posttransplant cardiovascular disease in patients receiving mycophenolic acid. BioMAP profiling can allow integration of meaningful human biology into drug development programs.

Anti-Inflammatory Agents↗