CHARACTERIZATION OF HUMAN ACID ALPHA-GLUCOSIDASE

The goal of this study was to investigate the properties of human acid (alpha)-glucosidase with respect to: (i) the molecular heterogeneity of the enzyme and (ii) the synthesis, post-translational modification, and transport of acid (alpha)-glucosidase in human fibroblasts.^ The initial phase of these investigations involved the purification of acid (alpha)-glucosidase from the human liver. Human hepatic acid (alpha)-glucosidase was characterized by isoelectric focusing and native and sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE). Four distinct charge forms of hepatic acid (alpha)-glucosidase were separated by chromatofocusing and characterized individually. Charge heterogeneity was demonstrated to result from differences in the polypeptide components of each charge form.^ The second aspect of this research focused on the biosynthesis and the intracellular processing and transport of acid (alpha)-glucosidase in human fibroblasts. These experiments were accomplished by immune precipitation of the biosynthetic intermediates of acid (alpha)-glucosidase from radioactively labeled fibroblasts with polyclonal and monoclonal antibodies raised against human hepatic acid (alpha)-glucosidase. The immune precipitated biosynthetic forms of acid (alpha)-glucosidase were analyzed by SDS-PAGE and autoradiography. The pulse-chase experiments demonstrated the existence of several transient, high molecular weight precursors of acid (alpha)-glucosidase. These precursors were demonstrated to be intermediates of acid (alpha)-glucosidase at different stages of transport and processing in the Golgi apparatus. Other experiments were performed to examine the role of co-translational glycosylation of acid (alpha)-glucosidase in the transport and processing of precursors of this enzyme.^ A specific immunological assay for detecting acid (alpha)-glucosidase was developed using the monoclonal antibodies described above. This method was modified to increase the sensitivity of the assay by utilization of the biotin-avidin amplification system. This method was demonstrated to be more sensitive for detecting human acid (alpha)-glucosidase than the currently used biochemical assay for acid (alpha)-glucosidase activity. It was also demonstrated that the biotin-avidin immunoassay could discriminate between normal and acid (alpha)-glucosidase deficient fibroblasts, thus providing an alternative approach to detecting this inborn error in metabolism. (Abstract shortened with permission of author.) ^

Mechanisms of perceptual learning of depth discrimination in random dot stereograms.

Perceptual learning is a training induced improvement in performance. Mechanisms underlying the perceptual learning of depth discrimination in dynamic random dot stereograms were examined by assessing stereothresholds as a function of decorrelation. The inflection point of the decorrelation function was defined as the level of decorrelation corresponding to 1.4 times the threshold when decorrelation is 0%. In general, stereothresholds increased with increasing decorrelation. Following training, stereothresholds and standard errors of measurement decreased systematically for all tested decorrelation values. Post training decorrelation functions were reduced by a multiplicative constant (approximately 5), exhibiting changes in stereothresholds without changes in the inflection points. Disparity energy model simulations indicate that a post-training reduction in neuronal noise can sufficiently account for the perceptual learning effects. In two subjects, learning effects were retained over a period of six months, which may have application for training stereo deficient subjects.

XYLITOL METABOLISM IN RAT LIVER AND HEPATOCELLULAR CARCINOMAS

The significance of nutritional factors in cancer research has been strongly emphasized. Such research is concerned not only with epidemiological effects relative to dietary factors on the causation of cancer, but with nutritional effects as an energy source on the prevention of cancer. Many studies speculate that the energy flow between tumor and host can be regulated by dietary intake. However, little knowledge on the comparison of the specific nutritional and energy requirements of different cells and tissues is available. Most popular and essential energy sources for the body are the carbohydrates. Among them, xylitol is known as efficient an energy source as glucose. In carbohydrate metabolism, glycolysis is one of the major energy producing pathways. However, recently the existence of an alternate catabolic pathway in mammals for carbohydrate besides glycolysis, i.e. bypass through triosephosphates to lactate via methylglyoxal has been suggested. This bypass was implicated to regulate glycolysis and also be responsible for the fluctuation in the levels of a regulator of cell growth. Methylglyoxal itself is known as a cancerostatic agent. The alterations of biochemical parameters in xylitol metabolism in animals indicated that xylitol may be metabolized through a methylglyoxal pathway.^ To elucidate the biological effect of xylitol as an energy source and the biological effect of its metabolites as a cancerostatis agent, the mode and extent of metabolism must be understood in tumor-bearing animals. Differential utilization of xylitol and glucose, if any, between tumor and host in such animals may exert tissue selective effects on both in terms of methylglyoxal formation and energy provision. The aim of this work was to assess the extent to which the differential utilization of xylitol might be used to generate different metabolic pathways in tumor and host, and to consider a role of nutrition in cancer.^ The results disclose that the existence of a pathway for biological methylglyoxal formation in normal rat liver has been confirmed in single cell suspension; the metabolic significance of the methylglyoxal pathway in the metabolism of glucose and xylitol has been evaluated quantitatively in normal rat liver and the differential metabolism of glucose and xylitol through overall catabolic pathways of carbohydrates has been studied in normal hepatic cells, AS-30D hepatoma and other several hepatoma lines. ^

Evaluation of the causal pathways through which subjective norms influence mammography intention and stage of change in a national sample of women veterans

Few studies have investigated causal pathways linking psychosocial factors to each other and to screening mammography. Conflicting hypotheses exist in the theoretic literature regarding the role and importance of subjective norms, a person's perceived social pressure to perform the behavior and his/her motivation to comply. The Theory of Reasoned Action (TRA) hypothesizes that subjective norms directly affect intention; while the Transtheoretical Model (TTM) hypothesizes that attitudes mediate the influence of subjective norms on stage of change. No one has examined which hypothesis best predicts the effect of subjective norms on mammography intention and stage of change. Two statistical methods are available for testing mediation, sequential regression analysis (SRA) and latent variable structural equation modeling (LVSEM); however, software to apply LVSEM to dichotomous variables like intention has only recently become available. No one has compared the methods to determine whether or not they yield similar results for dichotomous variables. ^ Study objectives were to: (1) determine whether the effect of subjective norms on mammography intention and stage of change are mediated by pros and cons; and (2) compare mediation results from the SRA and LVSEM approaches when the outcome is dichotomous. We conducted a secondary analysis of data from a national sample of women veterans enrolled in Project H.O.M.E. (H&barbelow;ealthy O&barbelow;utlook on the M&barbelow;ammography E&barbelow;xperience), a behavioral intervention trial. ^ Results showed that the TTM model described the causal pathways better than the TRA one; however, we found support for only one of the TTM causal mechanisms. Cons was the sole mediator. The mediated effect of subjective norms on intention and stage of change by cons was very small. These findings suggest that interventionists focus their efforts on reducing negative attitudes toward mammography when resources are limited. ^ Both the SRA and LVSEM methods provided evidence for complete mediation, and the direction, magnitude, and standard errors of the parameter estimates were very similar. Because SRA parameter estimates were not biased toward the null, we can probably assume negligible measurement error in the independent and mediator variables. Simulation studies are needed to further our understanding of how these two methods perform under different data conditions. ^

Selection bias and the cross-validation of regression models for prediction

Strategies are compared for the development of a linear regression model with stochastic (multivariate normal) regressor variables and the subsequent assessment of its predictive ability. Bias and mean squared error of four estimators of predictive performance are evaluated in simulated samples of 32 population correlation matrices. Models including all of the available predictors are compared with those obtained using selected subsets. The subset selection procedures investigated include two stopping rules, C$\sb{\rm p}$ and S$\sb{\rm p}$, each combined with an 'all possible subsets' or 'forward selection' of variables. The estimators of performance utilized include parametric (MSEP$\sb{\rm m}$) and non-parametric (PRESS) assessments in the entire sample, and two data splitting estimates restricted to a random or balanced (Snee's DUPLEX) 'validation' half sample. The simulations were performed as a designed experiment, with population correlation matrices representing a broad range of data structures.^ The techniques examined for subset selection do not generally result in improved predictions relative to the full model. Approaches using 'forward selection' result in slightly smaller prediction errors and less biased estimators of predictive accuracy than 'all possible subsets' approaches but no differences are detected between the performances of C$\sb{\rm p}$ and S$\sb{\rm p}$. In every case, prediction errors of models obtained by subset selection in either of the half splits exceed those obtained using all predictors and the entire sample.^ Only the random split estimator is conditionally (on $\\beta$) unbiased, however MSEP$\sb{\rm m}$ is unbiased on average and PRESS is nearly so in unselected (fixed form) models. When subset selection techniques are used, MSEP$\sb{\rm m}$ and PRESS always underestimate prediction errors, by as much as 27 percent (on average) in small samples. Despite their bias, the mean squared errors (MSE) of these estimators are at least 30 percent less than that of the unbiased random split estimator. The DUPLEX split estimator suffers from large MSE as well as bias, and seems of little value within the context of stochastic regressor variables.^ To maximize predictive accuracy while retaining a reliable estimate of that accuracy, it is recommended that the entire sample be used for model development, and a leave-one-out statistic (e.g. PRESS) be used for assessment. ^

Development of a SPECT -based three-dimensional treatment planner for radionuclide therapy with iodine -131

Accurate calculation of absorbed dose to target tumors and normal tissues in the body is an important requirement for establishing fundamental dose-response relationships for radioimmunotherapy. Two major obstacles have been the difficulty in obtaining an accurate patient-specific 3-D activity map in-vivo and calculating the resulting absorbed dose. This study investigated a methodology for 3-D internal dosimetry, which integrates the 3-D biodistribution of the radionuclide acquired from SPECT with a dose-point kernel convolution technique to provide the 3-D distribution of absorbed dose. Accurate SPECT images were reconstructed with appropriate methods for noise filtering, attenuation correction, and Compton scatter correction. The SPECT images were converted into activity maps using a calibration phantom. The activity map was convolved with an $\sp{131}$I dose-point kernel using a 3-D fast Fourier transform to yield a 3-D distribution of absorbed dose. The 3-D absorbed dose map was then processed to provide the absorbed dose distribution in regions of interest. This methodology can provide heterogeneous distributions of absorbed dose in volumes of any size and shape with nonuniform distributions of activity. Comparison of the activities quantitated by our SPECT methodology to true activities in an Alderson abdominal phantom (with spleen, liver, and spherical tumor) yielded errors of $-$16.3% to 4.4%. Volume quantitation errors ranged from $-$4.0 to 5.9% for volumes greater than 88 ml. The percentage differences of the average absorbed dose rates calculated by this methodology and the MIRD S-values were 9.1% for liver, 13.7% for spleen, and 0.9% for the tumor. Good agreement (percent differences were less than 8%) was found between the absorbed dose due to penetrating radiation calculated from this methodology and TLD measurement. More accurate estimates of the 3-D distribution of absorbed dose can be used as a guide in specifying the minimum activity to be administered to patients to deliver a prescribed absorbed dose to tumor without exceeding the toxicity limits of normal tissues. ^

Do binucleate cardiomyocytes have a role in myocardial repair? Insights using isolated rodent myocytes and cell culture.

Neonatal and adult cardiomyocytes were isolated from rat hearts. Some of the adult myocytes were cultured to allow for cell dedifferentiation, a phenomenon thought to mimic cell changes that occur in stressed myocardium, with myocytes regressing to a fetal pattern of metabolism and stellate neonatal shape.Using fluorescence deconvolution microscopy, cells were probed with fluorescent markers and scanned for a number of proteins associated with ion control, calcium movements and cardiac function. Image analysis of deconvoluted image stacks and sequential real-time image recordings of calcium transients of cells were made.All three myocyte groups were predominantly comprised of binucleate cells. Clustering of proteins to a single nucleus was a common observation, suggesting that one nucleus is active in protein synthesis pathways, while the other nucleus assumes a 'dormant' or different role and that cardiomyocytes might be mitotically active even in late development, or specific protein syntheses could be targeted and regulated for reintroduction into the cell cycle.Such possibilities would extend cardiac disease associated stem cell research and therapy options, while producing valuable insights into developmental and death pathways of binucleate cardiomyocytes (word count 183).

Monte Carlo and analytical dose calculations for ocular proton therapy

Uveal melanoma is a rare but life-threatening form of ocular cancer. Contemporary treatment techniques include proton therapy, which enables conservation of the eye and its useful vision. Dose to the proximal structures is widely believed to play a role in treatment side effects, therefore, reliable dose estimates are required for properly evaluating the therapeutic value and complication risk of treatment plans. Unfortunately, current simplistic dose calculation algorithms can result in errors of up to 30% in the proximal region. In addition, they lack predictive methods for absolute dose per monitor unit (D/MU) values. ^ To facilitate more accurate dose predictions, a Monte Carlo model of an ocular proton nozzle was created and benchmarked against measured dose profiles to within ±3% or ±0.5 mm and D/MU values to within ±3%. The benchmarked Monte Carlo model was used to develop and validate a new broad beam dose algorithm that included the influence of edgescattered protons on the cross-field intensity profile, the effect of energy straggling in the distal portion of poly-energetic beams, and the proton fluence loss as a function of residual range. Generally, the analytical algorithm predicted relative dose distributions that were within ±3% or ±0.5 mm and absolute D/MU values that were within ±3% of Monte Carlo calculations. Slightly larger dose differences were observed at depths less than 7 mm, an effect attributed to the dose contributions of edge-scattered protons. Additional comparisons of Monte Carlo and broad beam dose predictions were made in a detailed eye model developed in this work, with generally similar findings. ^ Monte Carlo was shown to be an excellent predictor of the measured dose profiles and D/MU values and a valuable tool for developing and validating a broad beam dose algorithm for ocular proton therapy. The more detailed physics modeling by the Monte Carlo and broad beam dose algorithms represent an improvement in the accuracy of relative dose predictions over current techniques, and they provide absolute dose predictions. It is anticipated these improvements can be used to develop treatment strategies that reduce the incidence or severity of treatment complications by sparing normal tissue. ^