41 resultados para FACTOR ANALYTIC MODEL


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Anthrax outbreaks in the United States and Europe and its potential use as a bioweapon have made Bacillus anthracis an interest of study. Anthrax infections are caused by the entry of B. anthracis spores into the host via the respiratory system, the gastrointestinal tract, cuts or wounds in the skin, and injection. Among these four forms, inhalational anthrax has the highest lethality rate and persistence of spores in the lungs of animals following pulmonary exposure has been noted for decades. However, details or mechanisms of spore persistence were not known. In this study, we investigated spore persistence in a mouse model. The results suggest that B. anthracis spores have special properties that promote persistence in the lung, and that there may be multiple mechanisms contributing to spore persistence. Moreover, recent discoveries from our laboratory suggest that spores evolved a sophisticated mechanism to interact with the host complement system. The complement system is a crucial part of the host defense mechanism against foreign microorganisms. Knowledge of the specific interactions that occur between the complement system and B. anthracis was limited. Studies performed in our laboratory have suggested that spores of B. anthracis can target specific proteins, such as Factor H (fH) of the complement system. Spores of B. anthracis are enclosed by an exosporium, which consists of a basal layer surrounded by a nap of hair-like filaments. The major structural component of the filaments is called Bacillus collagen-like protein of anthracis (BclA), which comprises a central collagen-like region and a globular C-terminal domain. BclA is the first point of contact with the innate system of an infected host. In this study, we investigated the molecular details of BclA-fH interaction with respect to the specific binding mechanism and the functional significance of this interaction in a murine model of anthrax infection. We hypothesized that the recruitment of fH to the spore surface by BclA limits the extent of complement activation and promotes pathogen survival and persistence in the infected host. Findings from this study are significant to understanding how to treat post-exposure prophylaxis and improve our knowledge of spores with the host immune system.

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Hemophilia A is a clotting disorder caused by functional factor VIII (FVIII) deficiency. About 25% of patients treated with therapeutic recombinant FVIII develop antibodies (inhibitors) that render subsequent FVIII treatments ineffective. The immune mechanisms of inhibitor formation are not entirely understood, but circumstantial evidence indicates a role for increased inflammatory response, possibly via stimulation of Toll-like receptors (TLRs), at the time of FVIII immunization. I hypothesized that stimulation through TLR4 in conjunction with FVIII treatments would increase the formation of FVIII inhibitors. To test this hypothesis, FVIII K.O. mice were injected with recombinant human FVIII with or without concomitant doses of TLR4 agonist (lipopoysaccharide; LPS). The addition of LPS combined with FVIII significantly increased the rate and the production of anti-FVIII IgG antibodies and neutralizing FVIII inhibitors. In the spleen, repeated in vivo TLR4 stimulation with LPS increased the relative percentage of macrophages and dendritic cells (DCs) over the course of 4 injections. However, repeated in vivo FVIII stimulation significantly increased the density of TLR4 expressed on the surface of all spleen antigen presenting cells (APCs). Culture of splenocytes isolated from mice revealed that the combined stimulation of LPS and FVIII also synergistically increased early secretion of the inflammatory cytokines IL-6, TNF-α, and IL-10, which was not maintained throughout the course of the repeated injections. While cytokine secretion was relatively unchanged in response to FVIII re-stimulation in culture, LPS re-stimulation in culture induced increased and prolonged inflammatory cytokine secretion. Re-stimulation with both LPS and FVIII induced cytokine secretion similar to LPS stimulation alone. Interestingly, long term treatment of mice with LPS alone resulted in splenocytes that showed reduced response to FVIII in culture. Together these results indicated that creating a pro-inflammatory environment through the combined stimulation of chronic, low-dose LPS and FVIII changed not only the populations but also the repertoire of APCs in the spleen, triggering the increased production of FVIII inhibitors. These results suggested an anti-inflammatory regimen should be instituted for all hemophilia A patients to reduce or delay the formation of FVIII inhibitors during replacement therapy.

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With most clinical trials, missing data presents a statistical problem in evaluating a treatment's efficacy. There are many methods commonly used to assess missing data; however, these methods leave room for bias to enter the study. This thesis was a secondary analysis on data taken from TIME, a phase 2 randomized clinical trial conducted to evaluate the safety and effect of the administration timing of bone marrow mononuclear cells (BMMNC) for subjects with acute myocardial infarction (AMI).^ We evaluated the effect of missing data by comparing the variance inflation factor (VIF) of the effect of therapy between all subjects and only subjects with complete data. Through the general linear model, an unbiased solution was made for the VIF of the treatment's efficacy using the weighted least squares method to incorporate missing data. Two groups were identified from the TIME data: 1) all subjects and 2) subjects with complete data (baseline and follow-up measurements). After the general solution was found for the VIF, it was migrated Excel 2010 to evaluate data from TIME. The resulting numerical value from the two groups was compared to assess the effect of missing data.^ The VIF values from the TIME study were considerably less in the group with missing data. By design, we varied the correlation factor in order to evaluate the VIFs of both groups. As the correlation factor increased, the VIF values increased at a faster rate in the group with only complete data. Furthermore, while varying the correlation factor, the number of subjects with missing data was also varied to see how missing data affects the VIF. When subjects with only baseline data was increased, we saw a significant rate increase in VIF values in the group with only complete data while the group with missing data saw a steady and consistent increase in the VIF. The same was seen when we varied the group with follow-up only data. This essentially showed that the VIFs steadily increased when missing data is not ignored. When missing data is ignored as with our comparison group, the VIF values sharply increase as correlation increases.^

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Brain metastasis is a common cause of mortality in cancer patients. Approximately 20-30% of breast cancer patients acquire brain metastasis, yet potential therapeutic targets remain largely unknown. The type I insulin-like growth factor receptor (IGF- IR) is known to play a role in the progression of breast cancer and is currently being investigated in the clinical setting for various types of cancer. The present study demonstrates that the IGF-IR signaling axis is constitutively active in brain-seeking sublines of breast cancer cells, driving an increase in in vitro metastatic properties. We demonstrate that IGF-IR signaling is activated in an autocrine manner as a result of IGFBP3 overexpression in brain-seeking cells. Transient and stable knockdown of IGF-IR results in a downregulation of IGF-IR downstream signaling through phospho-AKT, as well as decreased in vitro migration and invasion of MDA- MB-231Br brain-seeking cells. Using an in vivo experimental brain metastasis model, we show that IGF-IR ablation attenuates the establishment of brain metastases and prolongs survival. Finally, we demonstrate that the malignancy of brain-seeking cells is attenuated by pharmacological inhibition with picropodophyllin, an IGF-IR-specific tyrosine kinase inhibitor. Together, our data suggest that the IGF-IR is an important mediator of brain metastasis and its ablation delays the onset of brain metastases in our model system.

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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.^

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It is well known that an identification problem exists in the analysis of age-period-cohort data because of the relationship among the three factors (date of birth + age at death = date of death). There are numerous suggestions about how to analyze the data. No one solution has been satisfactory. The purpose of this study is to provide another analytic method by extending the Cox's lifetable regression model with time-dependent covariates. The new approach contains the following features: (1) It is based on the conditional maximum likelihood procedure using a proportional hazard function described by Cox (1972), treating the age factor as the underlying hazard to estimate the parameters for the cohort and period factors. (2) The model is flexible so that both the cohort and period factors can be treated as dummy or continuous variables, and the parameter estimations can be obtained for numerous combinations of variables as in a regression analysis. (3) The model is applicable even when the time period is unequally spaced.^ Two specific models are considered to illustrate the new approach and applied to the U.S. prostate cancer data. We find that there are significant differences between all cohorts and there is a significant period effect for both whites and nonwhites. The underlying hazard increases exponentially with age indicating that old people have much higher risk than young people. A log transformation of relative risk shows that the prostate cancer risk declined in recent cohorts for both models. However, prostate cancer risk declined 5 cohorts (25 years) earlier for whites than for nonwhites under the period factor model (0 0 0 1 1 1 1). These latter results are similar to the previous study by Holford (1983).^ The new approach offers a general method to analyze the age-period-cohort data without using any arbitrary constraint in the model. ^

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Human peripheral blood lymphocytes (PBL) cultured for varying lengths of time in IL-2 are able to mediate antibody independent cellular cytotoxicity (AICC) as well as antibody dependent cellular cytotoxicity (ADCC) against a wide range of tumor targets. The objective of our study is to determine the cytotoxic potential of the subset of LAK cells involved in ADCC, the tumor recognition mechanism in ADCC, the kinetics of ADCC mediated by PBL cultured under various conditions and the role of TNF-$\alpha$ in the development and maturation of ADCC effectors in the LAK population.^ The model system in this study for ADCC used a monoclonal antibody 14G2a (IgG2a), that recognizes the GD2 epitope on human melanoma cell line, SK-Mel-1. The target recognition mechanism operative in AICC (traditionally known as lymphokine activated killing or LAK) is an acquired property of these IL-2 activated cells which confers on them the unique ability to distinguish between tumor and normal cells. This recognition probably involves the presence of a trypsin sensitive N-linked glycoprotein epitope on tumor cells. Proteolytic treatment of the tumor cells with trypsin renders them resistant to AICC by PBL cultured in IL-2. However, ADCC is unaffected. This ADCC, mediated by the relatively small population of cells that are positive for the Fc receptor for IgG (FcR), is an indication that this subset of "LAK" cells does not require the trypsin sensitive epitope on tumor cells to mediate killing. Enriching PBL for FcR+ cells markedly enhanced both AICC and ADCC and also reduced the IL-2 requirement of these cells.^ The stoichiometry of Fc receptor (FcR) expression on the cytotoxic effectors does not correlate with ADCC lytic activity. Although FcRs are necessary to mediate ADCC, other factors, appear to regulate the magnitude of cytolytic activity. In order to investigate these putative factors, the kinetics of ADCC development was studied under various conditions (in IL-2 (10u/ml) and 100u/ml), in IL-2(10u/ml) + TNF$\alpha$ (500u/ml) and in TNF-$\alpha$ (500u/ml) alone). Addition of exogenous TNF-$\alpha$ into the four hour cytotoxicity assay did not increase ADCC, nor did anti-TNF antibodies result in inhibition. On the other hand, addition of anti-TNF antibodies to PBL and IL-2 for 24 hours, resulted in a marked inhibition of the ADCC, suggesting that endogenous TNF-$\alpha$ is obligatory for the maturation and differentiation of ADCC effectors. ^

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Despite continued research and public health efforts to reduce smoking during pregnancy, prenatal cessation rates in the United States have decreased and the incidence of low birth weight has increased from 1985 to 1991. Lower socioeconomic status women who are at increased risk for poor pregnancy outcomes may be resistant to current intervention efforts during pregnancy. The purpose of this dissertation was to investigate the determinants of continued smoking and quitting among low-income pregnant women.^ Using data from cross-sectional surveys of 323 low-income pregnant smokers, the first study developed and tested measures of the pros and cons of smoking during pregnancy. The original decisional balance measure for smoking was compared with a new measure that added items thought to be more salient to the target population. Confirmatory factor analysis using structural equation modeling showed neither the original nor new measure fit the data adequately. Using behavioral science theory, content from interviews with the population, and statistical evidence, two 7-item scales representing the pros and cons were developed from a portion (n = 215) of the sample and successfully cross-validated on the remainder of the sample (n = 108). Logistic regression found only pros were significantly associated with continued smoking. In a discriminant function analysis, stage of change was significantly associated with pros and cons of smoking.^ The second study examined the structural relationships between psychosocial constructs representing some of the levels of and the pros and cons of smoking. The cross-sectional design mandates that statements made regarding prediction do not prove causation or directionality from the data or methods analysis. Structural equation modeling found the following: more stressors and family criticism were significantly more predictive of negative affect than social support; a bi-directional relationship was found between negative affect and current nicotine addiction; and negative affect, addiction, stressors, and family criticism were significant predictors of pros of smoking.^ The findings imply reversing the trend of decreasing smoking cessation during pregnancy may require supplementing current interventions for this population of pregnant smokers with programs addressing nicotine addiction, negative affect, and other psychosocial factors such as family functioning and stressors. ^

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TNF-α is a pleiotropic cytokine involved in normal homeostasis and plays a key role in defending the host from infection and malignancy. However when deregulated, TNF-α can lead to various disease states. Therefore, understanding the mechanisms by which TNF-α is regulated may aid in its control. In spite of the knowledge gained regarding the transcriptional regulation of TNF-α further characterization of specific TNF-α promoter elements remains to be elucidated. In particular, the T&barbelow;NF-α A&barbelow;P-1/C&barbelow;RE-like (TAC) element of the TNF-α promoter has been shown to be important in the regulation of TNF-α in lymphocytes. Activating transcription factor-2 (ATF-2) and c-Jun were shown to bind to and transactivate the TAC element However, the role of TAC and transcription factors ATF-2 and c-Jun in the regulation of TNF-α in monocytes is not as well characterized. Lipopolysaccharide (LPS), a potent activator of TNF-α in monocytes, provides a good model to study the involvement of TAC in TNF-α regulation. On the other hand, all-tram retinoic acid (ATRA), a physiological monocyte-differentiation agent, is unable to induce TNF-α protein release. ^ To delineate the functional role of TAC, we transfected the wildtype or the TAC deleted TNF-α promoter-CAT construct into THP-1 promonocytic cells before stimulating them with LPS. CAT activity was induced 17-fold with the wildtype TNF-α promoter, whereas the CAT activity was uninducible when the TAC deletion mutant was used. This daft suggests that TAC is vital for LPS to activate the TNF-α promoter. Electrophoretic mobility shift assays using the TAC element as a probe showed a unique pattern for LPS-activated cells: the disappearance of the upper band of a doublet seen in untreated and ATRA treated cells. Supershift analysis identified c-Jun and ATF-2 as components of the LPS-stimulated binding complex. Transient transfection studies using dominant negative mutants of JNK, c-Jun, or ATF-2 suggest that these proteins we important for LPS to activate the TNF-α promoter. Furthermore, an increase in phosphorylated or activated c-Jun was bound to the TAC element in LPS-stimulated cells. Increased c-Jun activation was correlated with increased activity of Jun N-terminal kinase (JNK), a known upstream stimulator of c-Jun and ATF-2, in LPS-stimulated monocytes. On the other hand, ATRA did not induce TNF-α protein release nor changes in the phosphorylation of c-Jun or JNK activity, suggesting that pathways leading to ATRA differentiation of monocytic cells are independent of TNF-α activation. Together, the induction of TNF-α gene expression seems to require JNK activation, and activated c-Jun binding to the TAC element of the TNF-α promoter in THP-1 promonocytic cells. ^

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Growth and regeneration of postnatal skeletal muscle requires a population of mononuclear myogenic cells, called satellite cells to add/replace myonuclei, which are postmitotic. Wedged between the sarcolemma and the basal lamina of the skeletal muscle fiber, these cells function as the stem cells of mature muscle fibers. Like other normal diploid cells, satellite cells undergo cellular senescence. Investigations of aging in both rodents and humans have shown that satellite cell self-renewal capacity decreases with advanced age. As a consequence, this could be a potential reason for the characteristically observed age-associated loss in skeletal muscle mass (sarcopenia). This provided the rationale that any intervention that can further increase the proliferative capacity of these cells should potentially be able to either delay, or even prevent sarcopenia. ^ Using clonogenicity assays to determine a cell's proliferation potential, these studies have shown that IGF-I enhances the doubling potential of satellite cells from aged rodents. Using a transgenic model, where the mice express the IGF-I transgene specifically in their striated muscles, some of the underlying biochemical mechanisms for the observed increase in replicative life span were delineated. These studies have revealed that IGF-I activates the PI3/Akt pathway to mediate downregulation of p27KIP1, which consequently is associated with an increase in cyclin E-cdk2 kinase activity, phosphorylation of pRb, and upregulation of cyclin A protein. However, the beneficial effects of IGF-I on satellite cell proliferative potential appears to be limited as chronic overexpression of IGF-I in skeletal muscles did not protect against sarcopenia in 18-mo old mice, and was associated with an exhaustion of satellite cell replicative reserves. ^ These results have shown that replicative senescence can be modulated by environmental factors using skeletal muscle satellite cells as a model system. A better understanding of the molecular basis for enhancement of proliferative capacity by IGF-I will provide a rational basis for developing more effective counter-measures against physical frailty. However, the implications of these studies are that these beneficial effects of enhanced proliferative potential by IGF-I may only be over a short-term period, and other alternative approaches may need to be considered. ^

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Gliomas are primary central nervous system (CNS) neoplasms that are believed to arise from astrocytes, oligodendrocytes or their precursors. Gliomas can be classified into two major histopathological groups: oligodendroglial and astroglial tumors. The most malignant of the astroglial tumors is glioblastoma multiforme (GBM). A great deal of genetic and epigenetic alterations have been implicated in gliomagenesis. In particular, PDGF signaling is frequently over-activated in a large number of human gliomas. In order to gain insights into the biology of gliomas, we manage to model human gliomas in mice using a somatic gene transfer approach—RCAS/TVA system. In our previous study, combined activation of AKT and RAS pathways gave rise to glioblastomas from CNS progenitors. In the present study, we demonstrate that in vivo autocrine PDGF stimulation induces oligodendrogliomas and mixed oligoastrocytomas from CNS progenitors and differentiated astrocytes respectively. In culture autocrine PDGF stimulation dedifferentiates astrocytes into progenitor-like cells and blockade of PDGF signaling reverses these phenotypic changes. Experimental disruption of cell cycle arrest pathway, such as Ink4a-Arf loss, is not required for the initiation of PDGF-induced gliomagenesis; instead, this mutation contributes to the tumor progression by enhancing tumor malignancy and shortening tumor latency. P53 deficiency does not promote the PDGF-induced gliomagenesis. In addition, 1p and 19q, often deleted in human oligodendrogliomas, remain intact in these PDGF-induced gliomas. Therefore, our studies suggest that autocrine PDGF stimulation alone may be sufficient to induce gliomagenesis. In contrast to transient stimulation in vitro, constitutive PDGF stimulation activates neither AKT nor RAS/MAPK pathways during gliomagenesis. This results in the formation of oligodendrogliomas, instead of glioblastomas. Sustained activation of the AKT pathway converts PDGF-induced oligodendrogliomas into astrocytomas. Our studies suggest that constitutive PDGF stimulation is not equivalent to transient PDGF stimulation, and that a transition between oligodendroglial and astroglial tumors in humans may be possible, depending on additional alterations. In summary, PDGF signaling plays a pivotal role in gliomagenesis in the mouse, and its hyperactivity is capable of contributing to both oligodendroglial and astroglial tumorigenesis. ^