987 resultados para TG analysis


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Clinical studies indicate that exaggerated postprandial lipemia is linked to the progression of atherosclerosis, leading cause of Cardiovascular Diseases (CVD). CVD is a multi-factorial disease with complex etiology and according to the literature postprandial Triglycerides (TG) can be used as an independent CVD risk factor. Aim of the current study is to construct an Artificial Neural Network (ANN) based system for the identification of the most important gene-gene and/or gene-environmental interactions that contribute to a fast or slow postprandial metabolism of TG in blood and consequently to investigate the causality of postprandial TG response. The design and development of the system is based on a dataset of 213 subjects who underwent a two meals fatty prandial protocol. For each of the subjects a total of 30 input variables corresponding to genetic variations, sex, age and fasting levels of clinical measurements were known. Those variables provide input to the system, which is based on the combined use of Parameter Decreasing Method (PDM) and an ANN. The system was able to identify the ten (10) most informative variables and achieve a mean accuracy equal to 85.21%.

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Chronic lymphocytic leukemia (CLL) is the most common adult leukemia in the United Statesand Europe. CLL patients with deletion of chromosome 17p, where the tumor suppressor p53 gene is located, often develop a more aggressive disease with poor clinical outcomes. However, the underlying mechanism remains unclear. In order to understand the underneath mechanism in vivo, I have recently generated mice with Eu-TCL1-Tg:p53-/- genotype and showed that these mice develop aggressive leukemia that resembles human CLL with 17p deletion. The Eu-TCL1-Tg:p53-/- mice developed CLL disease at 3-4 months, significantly earlier than the parental Eu-TCL1-Tg mice that developed CLL disease at 8-12 months. Flow cytometry analysis showed that the CD5+/ IgM+ cell population appeared in the peritoneal cavity, bone marrow, and the spleens of Eu-TCL1-Tg:p53-/- mice significantly earlier than that of the parental Eu-TCL1-Tg mice. Massive infiltration and accumulation of leukemia cells were found in the spleen and peritoneal cavity. In vitro study showed that the leukemia cells isolated from the Eu-TCL1-Tg:p53-/- mice were more resistant to fludarabine treatment than the leukemia cells isolated from spleens of Eu-TCL1-Tg mice. Interestingly, TUNEL assay revealed that there was higher apoptotic cell death found in the Eu-TCL1-Tg spleen tissue compared to the spleens of the Eu-TCL1-Tg:p53-/- mice, suggesting that the loss of p53 compromises the apoptotic process in vivo, and this might in part explain the drug resistant phenotype of CLL cells with 17p-deletion. In the present study, we further demonstrated that the p53 deficiency in the TCL1 transgenic mice resulted in significant down-regulation of microRNAs miR-15a and miR16-1, associated with a substantial up-regulation of Mcl-1, suggesting that the p53-miR15a/16-Mcl-1 axis may play an important role in CLL pathogenesis. Interestingly, we also found that loss of p53 resulted in a significant decrease in expression of the miR-30 family especially miR-30d in leukemia lymphocytes from the Eu-TCL1-Tg:p53-/- mice. Such down-regulation of those microRNAs and up-regulation of Mcl-1 were also found in primary leukemia cells from CLL patients with 17p deletion. To further exam the biological significance of decrease in the miR-30 family in CLL, we investigated the potential involvement of EZH2 (enhancer of zeste homolog 2), a component of the Polycomb repressive complex known to be a downstream target of miR-30d and plays a role in disease progression in several solid cancers. RT-PCR and western blot analyses showed that both EZH2 mRNA transcript and protein levels were significantly increased in the lymphocytes of Eu-TCL1-Tg:p53-/- mice relative to Eu-TCL1-Tg mice. Exposure of leukemia cells isolated from Eu-TCL1-Tg:p53-/- mice to the EZH2 inhibitor 3-deazaneplanocin (DZNep) led to induction of apoptosis, suggesting EZH2 may play a role in promoting CLL cell survival and this may contribute to the aggressive phenotype of CLL with loss of p53. Our study has created a novel CLL mouse model, and suggests that the p53/miR15a/16-Mcl-1 axis & p53/miR30d-EZH2 may contribute to the aggressive phenotype and drug resistance in CLL cells with loss of p53.

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Dosage compensation in mammals occurs by X inactivation, a silencing mechanism regulated in cis by the X inactivation center (Xic). In response to developmental cues, the Xic orchestrates events of X inactivation, including chromosome counting and choice, initiation, spread, and establishment of silencing. It remains unclear what elements make up the Xic. We previously showed that the Xic is contained within a 450-kb sequence that includes Xist, an RNA-encoding gene required for X inactivation. To characterize the Xic further, we performed deletional analysis across the 450-kb region by yeast-artificial-chromosome fragmentation and phage P1 cloning. We tested Xic deletions for cis inactivation potential by using a transgene (Tg)-based approach and found that an 80-kb subregion also enacted somatic X inactivation on autosomes. Xist RNA coated the autosome but skipped the Xic Tg, raising the possibility that X chromosome domains escape inactivation by excluding Xist RNA binding. The autosomes became late-replicating and hypoacetylated on histone H4. A deletion of the Xist 5′ sequence resulted in the loss of somatic X inactivation without abolishing Xist expression in undifferentiated cells. Thus, Xist expression in undifferentiated cells can be separated genetically from somatic silencing. Analysis of multiple Xic constructs and insertion sites indicated that long-range Xic effects can be generalized to different autosomes, thereby supporting the feasibility of a Tg-based approach for studying X inactivation.

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The analysis of a human thyroid serial analysis of gene expression (SAGE) library shows the presence of an abundant SAGE tag corresponding to the mRNA of thyroglobulin (TG). Additional, less abundant tags are present that can not be linked to any other known gene, but show considerable homology to the wild-type TG tag. To determine whether these tags represent TG mRNA molecules with alternative cleavage, 3′-RACE clones were sequenced. The results show that the three putative TG SAGE tags can be attributed to TG transcripts and reflect the use of alternative polyadenylation cleavage sites downstream of a single polyadenylation signal in vivo. By screening more than 300 000 sequences corresponding to human, mouse and rat transcripts for this phenomenon we show that a considerable percentage of mRNA transcripts (44% human, 22% mouse and 22% rat) show cleavage site heterogeneity. When analyzing SAGE-generated expression data, this phenomenon should be considered, since, according to our calculations, 2.8% of human transcripts show two or more different SAGE tags corresponding to a single gene because of alternative cleavage site selection. Both experimental and in silico data show that the selection of the specific cleavage site for poly(A) addition using a given polyadenylation signal is more variable than was previously thought.

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Nano-scale touch screen thin film have not been thoroughly investigated in terms of dynamic impact analysis under various strain rates. This research is focused on two different thin films, Zinc Oxide (ZnO) film and Indium Tin Oxide (ITO) film, deposited on Polyethylene Terephthalate (PET) substrate for the standard touch screen panels. Dynamic Mechanical Analysis (DMA) was performed on the ZnO film coated PET substrates. Nano-impact (fatigue) testing was performed on ITO film coated PET substrates. Other analysis includes hardness and the elastic modulus measurements, atomic force microscopy (AFM), Fourier Transform Infrared Spectroscopy (FTIR) and the Scanning Electron Microscopy (SEM) of the film surface.
Ten delta of DMA is described as the ratio of loss modulus (viscous properties) and storage modulus (elastic properties) of the material and its peak against time identifies the glass transition temperature (Tg). Thus, in essence the Tg recognizes changes from glassy to rubber state of the material and for our sample ZnO film, Tg was found as 388.3 K. The DMA results also showed that the Ten delta curve for Tg increases monotonically in the viscoelastic state (before Tg) and decreases sharply in the rubber state (after Tg) until recrystallization of ZnO takes place. This led to an interpretation that enhanced ductility can be achieved by negating the strength of the material.
For the nano-impact testing using the ITO coated PET, the damage started with the crack initiation and propagation. The interpretation of the nano-impact results depended on the characteristics of the loading history. Under the nano-impact loading, the surface structure of ITO film suffered from several forms of failure damages that range from deformation to catastrophic failures. It is concluded that in such type of application, the films should have low residual stress to prevent deformation, good adhesive strength, durable and good resistance to wear.

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The thermal decomposition of a solid recovered fuel has been studied using thermogravimetry, in order to get information about the main steps in the decomposition of such material. The study comprises two different atmospheres: inert and oxidative. The kinetics of decomposition is determined at three different heating rates using the same kinetic constants and model for both atmospheres at all the heating rates simultaneously. A good correlation of the TG data is obtained using three nth-order parallel reactions.

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Raman spectroscopy of formamide-intercalated kaolinites treated using controlled-rate thermal analysis technology (CRTA), allowing the separation of adsorbed formamide from intercalated formamide in formamide-intercalated kaolinites, is reported. The Raman spectra of the CRTA-treated formamide-intercalated kaolinites are significantly different from those of the intercalated kaolinites, which display a combination of both intercalated and adsorbed formamide. An intense band is observed at 3629 cm-1, attributed to the inner surface hydroxyls hydrogen bonded to the formamide. Broad bands are observed at 3600 and 3639 cm-1, assigned to the inner surface hydroxyls, which are hydrogen bonded to the adsorbed water molecules. The hydroxyl-stretching band of the inner hydroxyl is observed at 3621 cm-1 in the Raman spectra of the CRTA-treated formamide-intercalated kaolinites. The results of thermal analysis show that the amount of intercalated formamide between the kaolinite layers is independent of the presence of water. Significant differences are observed in the CO stretching region between the adsorbed and intercalated formamide.

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Diffusion equations that use time fractional derivatives are attractive because they describe a wealth of problems involving non-Markovian Random walks. The time fractional diffusion equation (TFDE) is obtained from the standard diffusion equation by replacing the first-order time derivative with a fractional derivative of order α ∈ (0, 1). Developing numerical methods for solving fractional partial differential equations is a new research field and the theoretical analysis of the numerical methods associated with them is not fully developed. In this paper an explicit conservative difference approximation (ECDA) for TFDE is proposed. We give a detailed analysis for this ECDA and generate discrete models of random walk suitable for simulating random variables whose spatial probability density evolves in time according to this fractional diffusion equation. The stability and convergence of the ECDA for TFDE in a bounded domain are discussed. Finally, some numerical examples are presented to show the application of the present technique.

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The time for conducting Preventive Maintenance (PM) on an asset is often determined using a predefined alarm limit based on trends of a hazard function. In this paper, the authors propose using both hazard and reliability functions to improve the accuracy of the prediction particularly when the failure characteristic of the asset whole life is modelled using different failure distributions for the different stages of the life of the asset. The proposed method is validated using simulations and case studies.