A BAYESIAN APPROACH TO DOSE-RESPONSE ASSESSMENT AND DRUG-DRUG INTERACTION ANALYSIS: APPLICATION TO IN VITRO STUDIES

The considerable search for synergistic agents in cancer research is motivated by the therapeutic benefits achieved by combining anti-cancer agents. Synergistic agents make it possible to reduce dosage while maintaining or enhancing a desired effect. Other favorable outcomes of synergistic agents include reduction in toxicity and minimizing or delaying drug resistance. Dose-response assessment and drug-drug interaction analysis play an important part in the drug discovery process, however analysis are often poorly done. This dissertation is an effort to notably improve dose-response assessment and drug-drug interaction analysis. The most commonly used method in published analysis is the Median-Effect Principle/Combination Index method (Chou and Talalay, 1984). The Median-Effect Principle/Combination Index method leads to inefficiency by ignoring important sources of variation inherent in dose-response data and discarding data points that do not fit the Median-Effect Principle. Previous work has shown that the conventional method yields a high rate of false positives (Boik, Boik, Newman, 2008; Hennessey, Rosner, Bast, Chen, 2010) and, in some cases, low power to detect synergy. There is a great need for improving the current methodology. We developed a Bayesian framework for dose-response modeling and drug-drug interaction analysis. First, we developed a hierarchical meta-regression dose-response model that accounts for various sources of variation and uncertainty and allows one to incorporate knowledge from prior studies into the current analysis, thus offering a more efficient and reliable inference. Second, in the case that parametric dose-response models do not fit the data, we developed a practical and flexible nonparametric regression method for meta-analysis of independently repeated dose-response experiments. Third, and lastly, we developed a method, based on Loewe additivity that allows one to quantitatively assess interaction between two agents combined at a fixed dose ratio. The proposed method makes a comprehensive and honest account of uncertainty within drug interaction assessment. Extensive simulation studies show that the novel methodology improves the screening process of effective/synergistic agents and reduces the incidence of type I error. We consider an ovarian cancer cell line study that investigates the combined effect of DNA methylation inhibitors and histone deacetylation inhibitors in human ovarian cancer cell lines. The hypothesis is that the combination of DNA methylation inhibitors and histone deacetylation inhibitors will enhance antiproliferative activity in human ovarian cancer cell lines compared to treatment with each inhibitor alone. By applying the proposed Bayesian methodology, in vitro synergy was declared for DNA methylation inhibitor, 5-AZA-2'-deoxycytidine combined with one histone deacetylation inhibitor, suberoylanilide hydroxamic acid or trichostatin A in the cell lines HEY and SKOV3. This suggests potential new epigenetic therapies in cell growth inhibition of ovarian cancer cells.

Manifestation of depression symptoms among Mexican American adolescents

Background. Previous findings reported more depression among Mexican American adolescents than among adolescents from other groups. There has been minimal research published on distribution of depression symptoms among Mexican American adolescents and practically no data has been published from community samples. ^ Objective. To examine the phenomenology of DSM-IV major depression symptoms across groups defined by ethnic status, by gender and language use focusing on the Mexican American group. ^ Methods. Secondary data from 2624 adolescents (ages 10-17) among three ethnic subgroups, Mexican (26.7%), African (45%) and Anglo Americans (28.3%), was analyzed. Data come from the Teen Life Changes (TLC) Survey conducted in 1994 by Roberts et al. (1997). A self-report questionnaire, which includes the DSD scale to measure depression, was used. ^ Results. Analysis of data showed significant differences among youth in the phenomenology of depression symptoms by ethnicity, by gender and by language use at home. ^ Conclusion. This study adds knowledge to the psychopathology and mental health literature from the identification of depression symptoms profile as well as permits the design of more appropriate policy for prevention and intervention programs among culturally diverse youth. ^

A dual oxidase generates a protective oxidative burst during infection in C. elegans

Caenorhabditis elegans has recently been developed as a model system to study both pathogen virulence mechanisms and host defense responses. We have shown that C. elegans produces reactive oxygen species (ROS) in response to exposure to the important Gram-positive, noscomial pathogen, Enterococcus faecalis. We have also shown evidence of oxidative stress and upregulation of stress response after exposure to the pathogen. As in mammalian systems, this work shows that production of ROS for innate immune functions occurs via an NADPH oxidase. Specifically, reducing expression of a dual oxidase, Ce-duox1/BLI-3 causes a decrease in ROS production in response to E. faecalis. We also present evidence that reduction of expression of Ce-duox1/BLI-3 increases susceptibility to this pathogen, specifically when expression is reduced in the intestine and the hypodermis. This dual oxidase has previously been localized to the hypodermis, but we show that it is additionally localized to the intestine of C. elegans. To further demonstrate the protective effects of the pathogen-induced ROS production, we demonstrate that antioxidants that scavenge ROS, increase the sensitivity of the nematode to the infection, in stark contrast to their longevity-promoting effects under non-pathogenic conditions. In conclusion, we postulate that the generation of ROS by NADPH oxidases in the barrier epithelium is an ancient, highly conserved innate immune defense mechanism.^