7 resultados para corpus-based translation studies

em DigitalCommons@The Texas Medical Center


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Traumatic brain injury (TBI) directly affects nearly 1.5 million new patients per year in the USA, adding to the almost 6 million cases in patients who are permanently affected by the irreversible physical, cognitive and psychosocial deficits from a prior injury. Adult stem cell therapy has shown preliminary promise as an option for treatment, much of which is limited currently to supportive care. Preclinical research focused on cell therapy has grown significantly over the last decade. One of the challenges in the translation of this burgeoning field is interpretation of the promising experimental results obtained from a variety of cell types, injury models and techniques. Although these variables can become barriers to a collective understanding and to evidence-based translation, they provide crucial information that, when correctly placed, offers the opportunity for discovery. Here, we review the preclinical evidence that is currently guiding the translation of adult stem cell therapy for TBI.

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Next-generation DNA sequencing platforms can effectively detect the entire spectrum of genomic variation and is emerging to be a major tool for systematic exploration of the universe of variants and interactions in the entire genome. However, the data produced by next-generation sequencing technologies will suffer from three basic problems: sequence errors, assembly errors, and missing data. Current statistical methods for genetic analysis are well suited for detecting the association of common variants, but are less suitable to rare variants. This raises great challenge for sequence-based genetic studies of complex diseases.^ This research dissertation utilized genome continuum model as a general principle, and stochastic calculus and functional data analysis as tools for developing novel and powerful statistical methods for next generation of association studies of both qualitative and quantitative traits in the context of sequencing data, which finally lead to shifting the paradigm of association analysis from the current locus-by-locus analysis to collectively analyzing genome regions.^ In this project, the functional principal component (FPC) methods coupled with high-dimensional data reduction techniques will be used to develop novel and powerful methods for testing the associations of the entire spectrum of genetic variation within a segment of genome or a gene regardless of whether the variants are common or rare.^ The classical quantitative genetics suffer from high type I error rates and low power for rare variants. To overcome these limitations for resequencing data, this project used functional linear models with scalar response to develop statistics for identifying quantitative trait loci (QTLs) for both common and rare variants. To illustrate their applications, the functional linear models were applied to five quantitative traits in Framingham heart studies. ^ This project proposed a novel concept of gene-gene co-association in which a gene or a genomic region is taken as a unit of association analysis and used stochastic calculus to develop a unified framework for testing the association of multiple genes or genomic regions for both common and rare alleles. The proposed methods were applied to gene-gene co-association analysis of psoriasis in two independent GWAS datasets which led to discovery of networks significantly associated with psoriasis.^

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Background: Given that an alarming 1 in 5 children in the USA are at risk of hunger (1 in 3 among black and Latino children), and that 3.9 million households with children are food insecure, it is crucial to understand how household food insecurity (HFI) affects the present and future well-being of our children. Purpose: The objectives of this review article are to: (i) examine the association between HFI and child intellectual, behavioral and psycho-emotional development, controlling for socio-economic indicators; (ii) review the hypothesis that HFI is indeed a mediator of the relationship between poverty and poor child development outcomes; (iii) examine if the potential impact of HFI on caregivers’ mental health well-being mediates the relationship between HFI and child development outcomes. Methods: Pubmed search using the key words “food insecurity children.” For articles to be included they had to: (i) be based on studies measuring HFI using an experience-based scale, (ii) be peer reviewed, and (iii) include child intellectual, behavioral and/or socio-emotional development outcomes. Studies were also selected based on backward and forward Pubmed searches, and from the authors’ files. After reviewing the abstracts based on inclusion criteria a total of 26 studies were selected. Results: HFI represents not only a biological but also a psycho-emotional and developmental challenge to children exposed to it. Children exposed to HFI are more likely to internalize or externalize problems, as compared to children not exposed to HFI. This in turn is likely to translate into poor academic/cognitive performance and intellectual achievement later on in life. A pathway through which HFI may affect child development is possibly mediated by caregivers’ mental health status, especially parental stress and depression. Thus, HFI is likely to foster dysfunctional family environments. Conclusion: Findings indicate that food insecure households may require continued food assistance and psycho-emotional support until they transition to a “stable” food secure situation. This approach will require a much better integration of social policies and access to programs offering food assistance and mental health services to those in need. Findings also fully justify increased access of vulnerable children to programs that promote early in life improved nutrition as well as early psycho-social and cognitive stimulation opportunities.

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Magnetic resonance imaging, with its exquisite soft tissue contrast, is an ideal modality for investigating spinal cord pathology. While conventional MRI techniques are very sensitive for spinal cord pathology, their specificity is somewhat limited. Diffusion MRI is an advanced technique which is a very sensitive and specific indicator of the integrity of white matter tracts. Diffusion imaging has been shown to detect early ischemic changes in white matter, while conventional imaging demonstrates no change. By acquiring the complete apparent diffusion tensor (ADT), tissue diffusion properties can be expressed in terms of quantitative and rotationally invariant parameters. ^ Systematic study of SCI in vivo requires controlled animal models such as the popular rat model. To date, studies of spinal cord using ADT imaging have been performed exclusively in fixed, excised spinal cords, introducing inevitable artifacts and losing the benefits of MRI's noninvasive nature. In vivo imaging reflects the actual in vivo tissue properties, and allows each animal to be imaged at multiple time points, greatly reducing the number of animals required to achieve statistical significance. Because the spinal cord is very small, the available signal-to-noise ratio (SNR) is very low. Prior spin-echo based ADT studies of rat spinal cord have relied on high magnetic field strengths and long imaging times—on the order of 10 hours—for adequate SNR. Such long imaging times are incompatible with in vivo imaging, and are not relevant for imaging the early phases following SCI. Echo planar imaging (EPI) is one of the fastest imaging methods, and is popular for diffusion imaging. However, EPI further lowers the image SNR, and is very sensitive to small imperfections in the magnetic field, such as those introduced by the bony spine. Additionally, The small field-of-view (FOV) needed for spinal cord imaging requires large imaging gradients which generate EPI artifacts. The addition of diffusion gradients introduces yet further artifacts. ^ This work develops a method for rapid EPI-based in vivo diffusion imaging of rat spinal cord. The method involves improving the SNR using an implantable coil; reducing magnetic field inhomogeneities by means of an autoshim, and correcting EPI artifacts by post-processing. New EPI artifacts due to diffusion gradients described, and post-processing correction techniques are developed. ^ These techniques were used to obtain rotationally invariant diffusion parameters from 9 animals in vivo, and were validated using the gold-standard, but slow, spinecho based diffusion sequence. These are the first reported measurements of the ADT in spinal cord in vivo . ^ Many of the techniques described are equally applicable toward imaging of human spinal cord. We anticipate that these techniques will aid in evaluating and optimizing potential therapies, and will lead to improved patient care. ^

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Although many family-based genetic studies have collected dietary data, very few have used the dietary information in published findings. No single solution has been presented or discussed in the literature to deal with the problem of using factor analyses for the analyses of dietary data from several related individuals from a given household. The standard statistical approach of factor analysis cannot be applied to the VIVA LA FAMILIA Study diet data to ascertain dietary patterns since this population consists of three children from each family, thus the dietary patterns of the related children may be correlated and non-independent. Addressing this problem in this project will enable us to describe the dietary patterns in Hispanic families and to explore the relationships between dietary patterns and childhood obesity. ^ In the VIVA LA FAMILIA Study, an overweight child was first identified and then his/her siblings and parents were brought in for data collection which included 24 hour recalls and food frequency questionnaire (FFQ). Dietary intake data were collected using FFQ and 24 hour recalls on 1030 Hispanic children from 319 families. ^ The design of the VIVA LA FAMILIA Study has important and unique statistical considerations since its participants are related to each other, the majority form distinct nuclear families. Thus, the standard approach of factor analysis cannot be applied to these diet data to ascertain dietary patterns. In this project we propose to investigate whether the determinants of the correlation matrix of each family unit will allow us to adjust the original correlation matrix of the dietary intake data prior to ascertaining dietary intake patterns. If these methods are appropriate, then in the future the dietary patterns among related individuals could be assessed by standard orthogonal principal component factor analysis.^

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Background: Cardiovascular diseases (CVD) are the leading cause of morbidity and mortality worldwide. CVD mainly comprise of coronary heart disease and stroke and were ranked first and fourth respectively amongst leading causes of death in the United States. Influenza (flu) causes annual outbreaks and pandemics and is increasingly recognized as an important trigger for acute coronary syndromes and stroke. Influenza vaccination is an inexpensive and effective strategy for prevention of influenza related complications in high risk individuals. Though it is recommended for all CVD patients, Influenza vaccine is still used at suboptimal levels in these patients owing to prevailing controversy related to its effectiveness in preventing CVD. This review was undertaken to critically assess the effectiveness of influenza vaccination as a primary or secondary prevention method for CVD. ^ Methods: A systematic review was conducted using electronic databases OVID MEDLINE, PUBMED (National Library of Medicine), EMBASE, GOOGLE SCHOLAR and TRIP (Turning Research into Practice). The study search was limited to peer-reviewed articles published in English language from January 1970 through May 2012. The case control studies, cohort studies and randomized controlled trials related to influenza vaccination and CVD, with data on at least one of the outcomes were identified. In the review, only population-based epidemiologic studies in all ethnic groups and of either sex and with age limitation of 30 yrs or above, with clinical CVD outcomes of interest were included. ^ Results: Of the 16 studies (8 case control studies, 6 cohort studies and 2 randomized controlled trials) that met the inclusion criteria, 14 studies reported that there was a significant benefit in u influenza vaccination as primary or secondary prevention method for preventing new cardiovascular events. In contrary to the above findings, two studies mentioned that there was no significant benefit of vaccination in CVD prevention. ^ Conclusion: The available body of evidence in the review elucidates that vaccination against influenza is associated with reduction in the risk of new CVD events, hospitalization for coronary heart disease and stroke and as well as the risk of death. The study findings disclose that the influenza vaccination is very effective in CVD prevention and should be encouraged for the high risk population. However, larger and more future studies like randomized control trials are needed to further evaluate and confirm these findings. ^

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In this thesis, I investigated the effect of cylic AMP-dependent protein kinase (PKA) on v-Mos kinase activity. Increase in PKA activity in vivo brought about either by forskolin treatment or by overexpression of the PKA catalytic subunit resulted in a significant inhibition of v-Mos kinase activity. The purified PKA catalytic subunit was able to phosphorylate recombinant p37$\rm\sp{v-mos}$ in vitro, suggesting that the mechanism of in vivo inhibition of v-Mos kinase involves direct phosphorylation by PKA. Ser-263 was identified as a residue that is normally phosphorylated at a very low level but whose phosphorylation is dramatically increased upon forskolin treatment. Consistent with the inhibitory role of Ser-263 phosphorylation, the Ala-263 mutant of v-Mos was not inhibited by forskolin treatment. Based on our results, we propose that the known inhibitory role of PKA in the initiation of oocyte maturation could be explained at least in part by its inhibition of Mos kinase.^ Combining tryptic phosphopeptide two-dimensional mapping analysis and in vitro mutagenesis studies, I identified Ser-56 as the major in vivo phosphorylation site on v-Mos. I studied the interrelationship between Ser-34 and Ser-56 phosphorylation in regulating v-Mos function. After site-directed mutagenesis to substitute serine residues with alanine or glutamic acid in different combinations to mimick unphosphorylated and phosphorylated serines respectively, various v-Mos mutants were expressed in COS-1 cells. As expected, Ala-34 mutant of v-Mos had very low (less 5% of wild type) kinase activity. The Ala-56 mutant had kinase activity 50% that of wild type. Surprisingly, the Ala-34 Ala-56 double mutant and the Ala-56 mutant exhibited identical kinase activity. On the other hand, Ala-34 Glu-56 double mutant had reduced kinase activity comparable to Ala-34 mutant. These results suggest that the phosphorylation at Ser-56 may serve to inhibit the activation of newly synthesized Mos protein. As predicted from Xenopus c-Mos studies, Glu-34 mutant of v-Mos was highly active (125% that of wild type). Interestingly, consistant with the model involving an inhibitory role of Ser-56 phosphorylation, the Glu-34 Glu-56 double mutant was totally inactive as a kinase. Moreover in my experiments, there was a perfect correlation between the level of v-Mos kinase activity of various mutants and their transforming activity. The latter is dependent upon MEK1 phosphorylation/ activation in v-mos transformed cells. Residues corresponding to both v-Mos Ser-34 and Ser-56 are evolutionarily conserved in c-Mos. Therefore, the cytostatic factor function of c-Mos may be regulated in the same manner as v-Mos kinase activity.^ It has been known that v-mos transforms cells by affecting G1 phase progression of the cell cycle. Here I showed that mos induces cyclin D1 expression in mos transformed NIH 3T3 cells and NRK 6m2 cells, and this induced level was found to be unaffected by serum starvation. Consequently, cyclin D1-Cdk4 and cyclin E-Cdk2 activities increase, and retinoblastoma protein is hyperphosphorylated. Based on studies from several laboratories, these findings suggest that increased amount of cyclin D1-Cdk4 complexes ties up the limited amount of cyclin E-Cdk2 inhibitors (e.g. p27), causing the activation of cyclin E-Cdk2. My results indicate that activation of key cell cycle regulators of G1 phase may be important for cellular transformation by mos. (Abstract shortened by UMI.) ^