MOUSE MAMMARY TUMOR VIRUS EPITOPES EXPRESSED ON TUMOR SPECIFIC TRANSPLANTATION ANTIGENS OF CHEMICALLY INDUCED C3H/HEJ SARCOMAS (TSTA, FIBROSARCOMA, CARCINOGENESIS, MMTV, METHYLCHOLANTHRONE)

This dissertation addressed the hypothesis that the unique tumor specific transplantation antigens (TSTA) of chemically induced sarcomas express epitopes encoded by endogenous viral genes. TSTA from two 3-methylcholanthrene-induced, C3H/HeJ fibrosarcomas (MCA-F and MCA-D) were serologically assessed for viral epitopes in an enzyme-linked immunospecific assay (ELISA) and by immunoaffinity chromatography. Initial evidence with an anti-TSTA antiserum suggested that TSTA were associated with mouse mammary tumor virus (MMTV) peptides, but not peptides from murine leukemia virus (MuLV). TSTA extracted from MCA-F, was assessed with specific anti viral antibodies at three levels of purification for its association with MuLV peptides (gp 70 and p 15E) and MMTV peptides (gp52, gp36 and p27). The results demonstrate that purified preparations enriched for TSTA activity are devoid of MuLV epitopes, but enriched for a subset of MMTV epitopes. Immunoaffinity supports constructed with anti-MMTV antibodies retained TSTA from partially purified MCA-F or MCA-D extracts. Immunoaffinity chromatography with antibodies against individual MMTV peptides demonstrated that the MCA-F TSTA was specifically retained by anti-gp36 and anti-p27 supports, but not by anti-gp52 supports nor a support made with bovine serum albumin. Analysis of the affinity purified TSTA preparations by HPGPC and SDS-PAGE revealed only a few components. Application of the anti-gp36 and anti-p27 retained materials to HPGPC and subsequent in vivo analysis demonstrated that the TSTA migrated in a low and a high molecular weight region. These results suggest that TSTA specificity in C3H/HeJ mice, results from MMTV recombinant proteins. ^

The roles of costimulatory molecules in the cooperative effects of combination epinephrine and dexamethasone on type-1/type-2 cytokine production in tetanus-toxoid specific stimulated human peripheral blood mononuclear cells

A growing number of studies show strong associations between stress and altered immune function. In vivo studies of chronic and acute stress have demonstrated that cognitive stressors are strongly correlated with high circulating levels of catecholamines (CT) and corticosteroids (CS) that are associated with changes in type-1/type-2 cytokine expression. Although individual pharmacologic doses of CS and CT can inhibit the expression of T-helper 1 (Th1, type-1 like) and promote the production of T-helper 2 (Th2, type-2 like) cytokines in antigen-specific and mitogen stimulated human leukocyte cultures in vitro, little attention has been focused on the effects of combination physiologic-stress doses of CT and CS that may be more physiologically relevant. In addition, both in-vivo and in-vitro studies suggest that the differential expression of the B7 family of costimulatory molecules CD80 and CD86 may promote the expression of type-1 or type-2 cytokines, respectively. Furthermore, corticosteroids can influence the expression of β2-adrenergic receptors in various human tissues. We therefore investigated the combined effects of physiologic-stress doses of in vitro CT and CS upon the type-1/type-2 cytokine balance and expression of B7 costimulatory molecules of human peripheral blood mononuclear cells (PBMC) as a model to study the immunomodulatory effects of physiologic stress. Results demonstrated a significant decrease in type-1 cytokine expression and a significant increase in type-2 cytokine production in our CS+CT incubated cultures when compared to either CT or CS agents alone. In addition, we demonstrated the differential expression of CD80/CD86 in favor of CD86 at the cellular and population level as determined by flow cytometry in lipopolysaccharide stimulated human Monocytes. Furthermore, we developed flow cytometry based assays to detect total β2AR in human CD4+ T-lymphocytes that demonstrated decreased expression of β2AR in mitogen stimulated CD4+ T-lymphocytes in the presence of physiologic stress levels of CS and CT as single in vitro agents, however, when both CS and CT were combined, significantly higher expression of β2AR was observed. In summary, our in vitro data suggest that both CS and CT work cooperatively to shift immunity towards type-2 responses. ^

Affect and cognition measures in preference-based decisions: Validity testing of the Ottawa Decisional Conflict Scale and a decision-specific anxiety measure with men eligible for prostate cancer screening

Background. At present, prostate cancer screening (PCS) guidelines require a discussion of risks, benefits, alternatives, and personal values, making decision aids an important tool to help convey information and to help clarify values. Objective: The overall goal of this study is to provide evidence of the reliability and validity of a PCS anxiety measure and the Decisional Conflict Scale (DCS). Methods. Using data from a randomized, controlled PCS decision aid trial that measured PCS anxiety at baseline and DCS at baseline (T0) and at two-weeks (T2), four psychometric properties were assessed: (1) internal consistency reliability, indicated by factor analysis intraclass correlations and Cronbach's α; (2) construct validity, indicated by patterns of Pearson correlations among subscales; (3) discriminant validity, indicated by the measure's ability to discriminate between undecided men and those with a definite screening intention; and (4) factor validity and invariance using confirmatory factor analyses (CFA). Results. The PCS anxiety measure had adequate internal consistency reliability and good construct and discriminant validity. CFAs indicated that the 3-factor model did not have adequate fit. CFAs for a general PCS anxiety measure and a PSA anxiety measure indicated adequate fit. The general PCS anxiety measure was invariant across clinics. The DCS had adequate internal consistency reliability except for the support subscale and had adequate discriminate validity. Good construct validity was found at the private clinic, but was only found for the feeling informed subscale at the public clinic. The traditional DCS did not have adequate fit at T0 or at T2. The alternative DCS had adequate fit at T0 but was not identified at T2. Factor loadings indicated that two subscales, feeling informed and feeling clear about values, were not distinct factors. Conclusions. Our general PCS anxiety measure can be used in PCS decision aid studies. The alternative DCS may be appropriate for men eligible for PCS. Implications: More emphasis needs to be placed on the development of PCS anxiety items relating to testing procedures. We recommend that the two DCS versions be validated in other samples of men eligible for PCS and in other health care decisions that involve uncertainty. ^

Understanding and Characterizing Shared Decision-Making and Behavioral Intent in Medical Uncertainty

Applying Theoretical Constructs to Address Medical Uncertainty Situations involving medical reasoning usually include some level of medical uncertainty. Despite the identification of shared decision-making (SDM) as an effective technique, it has been observed that the likelihood of physicians and patients engaging in shared decision making is lower in those situations where it is most needed; specifically in circumstances of medical uncertainty. Having identified shared decision making as an effective, yet often a neglected approach to resolving a lack of information exchange in situations involving medical uncertainty, the next step is to determine the way(s) in which SDM can be integrated and the supplemental processes that may facilitate its integration. SDM involves unique types of communication and relationships between patients and physicians. Therefore, it is necessary to further understand and incorporate human behavioral elements - in particular, behavioral intent - in order to successfully identify and realize the potential benefits of SDM. This paper discusses the background and potential interaction between the theories of shared decision-making, medical uncertainty, and behavioral intent. Identifying Shared Decision-Making Elements in Medical Encounters Dealing with Uncertainty A recent summary of the state of medical knowledge in the U.S. reported that nearly half (47%) of all treatments were of unknown effectiveness, and an additional 7% involved an uncertain tradeoff between benefits and harms. Shared decision-making (SDM) was identified as an effective technique for managing uncertainty when two or more parties were involved. In order to understand which of the elements of SDM are used most frequently and effectively, it is necessary to identify these key elements, and understand how these elements related to each other and the SDM process. The elements identified through the course of the present research were selected from basic principles of the SDM model and the “Data, Information, Knowledge, Wisdom” (DIKW) Hierarchy. The goal of this ethnographic research was to identify which common elements of shared decision-making patients are most often observed applying in the medical encounter. The results of the present study facilitated the understanding of which elements patients were more likely to exhibit during a primary care medical encounter, as well as determining variables of interest leading to more successful shared decision-making practices between patients and their physicians. Understanding Behavioral Intent to Participate in Shared Decision-Making in Medically Uncertain Situations Objective: This article describes the process undertaken to identify and validate behavioral and normative beliefs and behavioral intent of men between the ages of 45-70 with regard to participating in shared decision-making in medically uncertain situations. This article also discusses the preliminary results of the aforementioned processes and explores potential future uses of this information which may facilitate greater understanding, efficiency and effectiveness of doctor-patient consultations.Design: Qualitative Study using deductive content analysisSetting: Individual semi-structure patient interviews were conducted until data saturation was reached. Researchers read the transcripts and developed a list of codes.Subjects: 25 subjects drawn from the Philadelphia community.Measurements: Qualitative indicators were developed to measure respondents’ experiences and beliefs related to behavioral intent to participate in shared decision-making during medical uncertainty. Subjects were also asked to complete the Krantz Health Opinion Survey as a method of triangulation.Results: Several factors were repeatedly described by respondents as being essential to participate in shared decision-making in medical uncertainty. These factors included past experience with medical uncertainty, an individual’s personality, and the relationship between the patient and his physician.Conclusions: The findings of this study led to the development of a category framework that helped understand an individual’s needs and motivational factors in their intent to participate in shared decision-making. The three main categories include 1) an individual’s representation of medically uncertainty, 2) how the individual copes with medical uncertainty, and 3) the individual’s behavioral intent to seek information and participate in shared decision-making during times of medically uncertain situations.

Robust effect sizes and their confidence intervals for group difference between trajectories in hierarchical linear growth model

Hierarchical linear growth model (HLGM), as a flexible and powerful analytic method, has played an increased important role in psychology, public health and medical sciences in recent decades. Mostly, researchers who conduct HLGM are interested in the treatment effect on individual trajectories, which can be indicated by the cross-level interaction effects. However, the statistical hypothesis test for the effect of cross-level interaction in HLGM only show us whether there is a significant group difference in the average rate of change, rate of acceleration or higher polynomial effect; it fails to convey information about the magnitude of the difference between the group trajectories at specific time point. Thus, reporting and interpreting effect sizes have been increased emphases in HLGM in recent years, due to the limitations and increased criticisms for statistical hypothesis testing. However, most researchers fail to report these model-implied effect sizes for group trajectories comparison and their corresponding confidence intervals in HLGM analysis, since lack of appropriate and standard functions to estimate effect sizes associated with the model-implied difference between grouping trajectories in HLGM, and also lack of computing packages in the popular statistical software to automatically calculate them. ^ The present project is the first to establish the appropriate computing functions to assess the standard difference between grouping trajectories in HLGM. We proposed the two functions to estimate effect sizes on model-based grouping trajectories difference at specific time, we also suggested the robust effect sizes to reduce the bias of estimated effect sizes. Then, we applied the proposed functions to estimate the population effect sizes (d ) and robust effect sizes (du) on the cross-level interaction in HLGM by using the three simulated datasets, and also we compared the three methods of constructing confidence intervals around d and du recommended the best one for application. At the end, we constructed 95% confidence intervals with the suitable method for the effect sizes what we obtained with the three simulated datasets. ^ The effect sizes between grouping trajectories for the three simulated longitudinal datasets indicated that even though the statistical hypothesis test shows no significant difference between grouping trajectories, effect sizes between these grouping trajectories can still be large at some time points. Therefore, effect sizes between grouping trajectories in HLGM analysis provide us additional and meaningful information to assess group effect on individual trajectories. In addition, we also compared the three methods to construct 95% confident intervals around corresponding effect sizes in this project, which handled with the uncertainty of effect sizes to population parameter. We suggested the noncentral t-distribution based method when the assumptions held, and the bootstrap bias-corrected and accelerated method when the assumptions are not met.^

Specificity of somatostatin receptor and G -protein interactions as characterized by somatostatin receptor subtype specific antibodies

The neuropeptide somatostatin is a widely distributed general inhibitor of endocrine, exocrine, gastrointestinal and neural functions. The biological actions of somatostatin are initiated by interaction with high affinity, plasma membrane somatostatin receptors (sst receptors). Five sst receptor subtypes have been cloned and sequence analysis shows they are all members of the G protein coupled receptor superfamily. The G proteins play a pivotal role in sst receptor signal transduction and the specificity of somatostatin receptor-G protein coupling defines the possible range of cellular responses. However, the data for endogenous sst receptor and G protein coupling is very limited, and even when it is available, the sst receptor subtypes involved in G protein coupling and signal transduction are unknown due to the expression of multiple sst receptor subtypes in target cell lines or tissues of somatostatin.^ In an effort to characterize each individual sst receptor subtypes, antisera against unique C-terminal regions of different sst receptor subtypes have been developed in our lab. In this report, antisera made against the sst1, sst2A and sst4 receptors are characterized. They are highly specific to their corresponding receptors and efficiently immunoprecipitate the sst receptors. Using these antibodies, the cell lines expressing these sst receptor subtypes were identified with both immunoprecipitation and Western blot methods. The development of sst receptor subtype specific antibodies make it possible to determine the specificity of the sst receptor subtype and G protein coupling in target cells or tissues expressing multiple sst receptors, two questions were addressed by this thesis: (1) whether different cellular environments affect receptor subtype and G protein coupling; (2) whether different sst receptors couple to different G proteins in similar cellular environments.^ Taken together our findings, both sst1 and sst2A receptors couple with G$\alpha\sb{\rm i1},$ G$\alpha\sb{\rm i2}$ and G$\alpha\sb{\rm i3}$ in CHO cells, G$\alpha\sb{\rm i2}$ and G$\alpha\sb{\rm i3}$ in GH$\sb4$C$\sb1$ cells. Further, sst2A receptors couple with G$\alpha\sb{\rm i1},$ G$\alpha\sb{\rm i2}$ and G$\alpha\sb{\rm i3}$ in AR4-2J cells while sst4 receptors couple with G$\alpha\sb{\rm i2}$ and G$\alpha\sb{\rm i3}$ in CHO cells. Therefore, the G protein coupling of the same sst receptors in different cell lines is basically similar in that they all couple with multiple $\alpha$-subunits of the G$\rm \sb{i}$ proteins, suggesting cellular environment has little effect on receptor and G protein coupling. Moreover, different sst receptors have similar G protein coupling specificities in the same cell line, suggesting components other than receptor and G$\alpha$ subunits in the signal transduction pathways may contribute to specific functions of each sst receptor subtype. This series of experiments represent a novel approach in dissecting signal transduction pathways and may have general application in the field. Furthermore, this is the first systematic study of sst receptor subtype and G protein $\alpha$-subunit interaction in both transfected cells and in normal cell lines. The information generated will be very useful in our understanding of sst receptor signal transduction pathways and in directing future sst receptor research. ^