Metabolism and action of 9-$\beta$-D-arabinofuranosyl-2-fluoroadenine

9-$\beta$-D-arabinofuranosyl-2-fluoroadenine (F-ara-A) is an analogue of adenosine and 2$\sp\prime$-deoxyadenosine with potent antitumor activity both in vitro and in vivo. The mechanism of action of F-ara-A was evaluated both in whole cells and in experimental systems with purified enzymes. F-ara-A was converted to its 5$\sp\prime$-triphosphate F-ara-ATP in cells and then incorporated into DNA in a self-limiting manner. About 98% of the incorporated F-ara-AMP residues were located at the 3$\sp\prime$-termini of DNA strands, suggesting a chain termination property of this compound. DNA synthesis in CEM cells was inhibited by F-ara-A treatment with an IC$\sb{50}$ value of 1 $\mu$M. Cells were not able to restore the normal level of DNA synthesis even after being cultured in drug-free medium for 40 h. A DNA primer extension assay with M13mp18(+) single-stranded DNA template using purified human DNA polymerases $\alpha$ and further revealed that F-ara-ATP competed with dATP for incorporation into the A sites of the elongating DNA strands. The incorporation of F-ara-AMP into DNA resulted in a termination of DNA synthesis at the incorporated A sites. Pol $\alpha$ and $\delta$ were not able to efficiently extend the DNA primer with F-ara-AMP at its 3$\sp\prime$-end. Furthermore, the presence of F-ara-AMP at the 3$\sp\prime$-end of an oligodeoxyribonucleotide impaired its ligation with an adjacent DNA fragment by human and T4 ligases. Human DNA polymerase $\alpha$ incorporated more F-ara-AMP into DNA than polymerase $\delta$ and was more sensitive to the inhibition by F-ara-ATP, suggesting that polymerase $\alpha$ may be a preferred target for this analogue. On the other hand, DNA-dependent nucleotide turnover experiments and sequencing gel analysis demonstrated that DNA polymerase $\delta$ was able to remove the incorporated F-ara-AMP residue from the 3$\sp\prime$-end of the DNA strand with its 3$\sp\prime$-5$\sp\prime$ exonuclease activity in vitro, subsequently permitting further elongation of the DNA strand.^ The incorporation of F-ara-AMP into DNA was linearly correlated both with the inhibition of DNA synthesis and with the loss of clonogenicity. Termination of DNA synthesis and deletion of genetic material resulted from F-ara-AMP incorporation may be the mechanism responsible for cytotoxicity of F-ara-A. (Abstract shortened with permission of author.) ^

Dynamic Remodeling of the Stressed Heart: Role of Protein Degradation Pathways

The heart is a remarkable organ. In order to maintain its function, it remodels in response to a variety of environmental stresses, including pressure overload, volume overload, mechanical or pharmacological unloading and hormonal or metabolic disturbances. All these responses are linked to the inherent capacity of the heart to rebuild itself. Particularly, cardiac pressure overload activates signaling pathways of both protein synthesis and degradation. While much is known about regulators of protein synthesis, little is known about regulators of protein degradation in hypertrophy. The ubiquitin-proteasome system (UPS) selectively degrades unused and abnormal intracellular proteins. I speculated that the UPS may play an important role in both qualitative and quantitative changes in the composition of heart muscle during hypertrophic remodeling. My study hypothesized that cardiac remodeling in response to hypertrophic stimuli is a dynamic process that requires activation of highly regulated mechanisms of protein degradation as much as it requires protein synthesis. My first aim was to adopt a model of left ventricular hypertrophy and determine its gene expression and structural changes. Male Sprague-Dawley rats were submitted to ascending aortic banding and sacrificed at 7 and 14 days after surgery. Sham operated animals served as controls. Effective aortic banding was confirmed by hemodynamic assessment by Doppler flow measurements in vivo. Banded rats showed a four-fold increase in peak stenotic jet velocities. Histomorphometric analysis revealed a significant increase in myocyte size as well as fibrosis in the banded animals. Transcript analysis showed that banded animals had reverted to the fetal gene program. My second aim was to assess if the UPS is increased and transcriptionally regulated in hypertrophic left ventricular remodeling. Protein extracts from the left ventricles of the banded and control animals were used to perform an in vitro peptidase assay to assess the overall catalytic activity of the UPS. The results showed no difference between hypertrophied and control animals. Transcript analysis revealed decreases in transcript levels of candidate UPS genes in the hypertrophied hearts at 7 days post-banding but not at 14 days. However, protein expression analysis showed no difference at either time point compared to controls. These findings indicate that elements of the UPS are downregulated in the early phase of hypertrophic remodeling and normalizes in a later phase. The results provide evidence in support of a dynamic transcriptional regulation of a major pathway of intracellular protein degradation in the heart. The discrepancy between transcript levels on the one hand and protein levels on the other hand supports post-transcriptional regulation of the UPS pathway in the hypertrophied heart. The exact mechanisms and the functional consequences remain to be elucidated.

Sequential updating via dynamic hierarchical models: A Bayesian approach to longitudinal data analysis

Most statistical analysis, theory and practice, is concerned with static models; models with a proposed set of parameters whose values are fixed across observational units. Static models implicitly assume that the quantified relationships remain the same across the design space of the data. While this is reasonable under many circumstances this can be a dangerous assumption when dealing with sequentially ordered data. The mere passage of time always brings fresh considerations and the interrelationships among parameters, or subsets of parameters, may need to be continually revised. ^ When data are gathered sequentially dynamic interim monitoring may be useful as new subject-specific parameters are introduced with each new observational unit. Sequential imputation via dynamic hierarchical models is an efficient strategy for handling missing data and analyzing longitudinal studies. Dynamic conditional independence models offers a flexible framework that exploits the Bayesian updating scheme for capturing the evolution of both the population and individual effects over time. While static models often describe aggregate information well they often do not reflect conflicts in the information at the individual level. Dynamic models prove advantageous over static models in capturing both individual and aggregate trends. Computations for such models can be carried out via the Gibbs sampler. An application using a small sample repeated measures normally distributed growth curve data is presented. ^

Improved Techniques for Acquisition and Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Detecting Vascular Permeability in the Central Nervous System

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a noninvasive technique for quantitative assessment of the integrity of blood-brain barrier and blood-spinal cord barrier (BSCB) in the presence of central nervous system pathologies. However, the results of DCE-MRI show substantial variability. The high variability can be caused by a number of factors including inaccurate T1 estimation, insufficient temporal resolution and poor contrast-to-noise ratio. My thesis work is to develop improved methods to reduce the variability of DCE-MRI results. To obtain fast and accurate T1 map, the Look-Locker acquisition technique was implemented with a novel and truly centric k-space segmentation scheme. In addition, an original multi-step curve fitting procedure was developed to increase the accuracy of T1 estimation. A view sharing acquisition method was implemented to increase temporal resolution, and a novel normalization method was introduced to reduce image artifacts. Finally, a new clustering algorithm was developed to reduce apparent noise in the DCE-MRI data. The performance of these proposed methods was verified by simulations and phantom studies. As part of this work, the proposed techniques were applied to an in vivo DCE-MRI study of experimental spinal cord injury (SCI). These methods have shown robust results and allow quantitative assessment of regions with very low vascular permeability. In conclusion, applications of the improved DCE-MRI acquisition and analysis methods developed in this thesis work can improve the accuracy of the DCE-MRI results.