Hardymcgregor0244

COX1, COX2 and PTGES3 were significantly upregulated at the protein level in breast cancer compared to normal tissues (P < 0.005). However, only PTGES3 expression was elevated at both the mRNA and protein level in breast cancer (P < 0.0005). PTGES3 is the most highly expressed enzymes within the COX/PG pathway in both luminal and basal epithelial cells in normal breast tissues. Using Cox Regression Kaplan-Meier survival analysis, PTGES3 expression had a significant inverse prognostic association with breast cancer survival [HR >1.43, P=0.0057]. Elevated PTGES3 expression within the tumor microenvironment significantly correlated with CD8+ T cell abundance, suggesting a possible immunomodulatory role of PTGES3 in the tumor microenvironment.

PTGES3, a terminal synthetase in the COX/prostaglandin pathway, is a putative prognostic marker in breast cancer.

PTGES3, a terminal synthetase in the COX/prostaglandin pathway, is a putative prognostic marker in breast cancer.Using a three-wave longitudinal design, the current study examined the relationship between early meaning in life and subsequent problematic smartphone use (PSU). As depression and self-control are a strong predictor of Internet-related addiction, we examined these two variables as possible mediators in this relationship based on existing literature. A total of 478 Chinese children and adolescents (243 boys and 235 girls, mean age = 11.26 years) completed questionnaires regarding meaning in life, depression, self-control and PSU. The results indicated that (a) presence of meaning and search for meaning are positive correlation, and they are negatively associated with PSU among children and adolescents; (b) depression and self-control mediated the link between presence of meaning and children and adolescents' subsequent PSU respectively; and (c) depression and self-control sequentially mediated the relationship between early presence of meaning and children and adolescents' subsequent PSU; whereas not sequentially mediated the relationship between search for meaning and children and adolescents' subsequent PSU. These results suggested that three types of interventions could be effectively used to decrease the risk of PSU among children and adolescents, namely, enhancing presence of meaning, relieving depression, and improving self-control.

As diverse cannabis use patterns among recreational users continue to evolve, little is known about how modes of use may contribute to long-term risk. The current study examined the association between types and number of modes of cannabis used over a 21-day ecological momentary assessment (EMA) period with hazardous cannabis use and consequences both concurrently and six months later.

A sample of 155 young adult recreational cannabis users, aged 18-30 (M=21.1), reported on cannabis use patterns over 21-days, and completed baseline and six-month assessments of hazardous cannabis use and cannabis consequences.

At baseline, more frequent bowl use was associated with hazardous cannabis use and cannabis consequences. More frequent use of hash-oil was associated with more consequences at six months, while a greater proportion of hash-oil use relative to total use was associated with increased risk for hazardous cannabis use at six months.

While bowl use is characteristic of concurrent problematic use and consequences, only hash-oil predicted increased risk for hazardous use and consequences later. It may be that more frequent use of high-potency cannabis products, such as hash-oil, present unique risks for cannabis problems and consequences.

While bowl use is characteristic of concurrent problematic use and consequences, only hash-oil predicted increased risk for hazardous use and consequences later. It may be that more frequent use of high-potency cannabis products, such as hash-oil, present unique risks for cannabis problems and consequences.Participation in drinking games has been identified as one specific alcohol-related context linked to increased risk for heavier alcohol consumption and negative consequences among college students. Despite advances in drinking game research, questions remain about the different types of individuals at risk from participating. The current study utilized latent class analysis to classify individuals based on their endorsement of eight negative drinking game consequences from the Hazardous Drinking Games Measure. Analyses included identification of classes among 656 college students, followed by covariate analyses regressing class membership on motives for playing drinking games, general drinking motives, impulsivity facets, general problematic alcohol use, and specific drinking game behaviors. A total of three classes were identified, including a class with the fewest number of problems, a class with higher rates of hangovers and becoming sick, and a class with relatively higher rates of a majority of the other consequences. Classes differed in endorsement of motives, impulsivity facets, general problematic consumption, and drinking game behaviors. Generally, coping, conformity, and social general drinking motives; conformity and enhancement and thrills motives for playing drinking games; the impulsivity facet of negative urgency; the number of drinks consumed while playing drinking games; playing consumption type drinking games; and general problematic alcohol use were associated with more problematic class membership. Results highlight distinct classes of individuals at risk from drinking game participation. Recommendations for future studies and potential prevention and intervention efforts are also discussed.Live animal movements generate direct contacts (via the exchange of live animals) and indirect contacts (via the transit of transport vehicles) between farms, which can contribute to the spread of pathogens. However, most analyses focus solely on direct contacts and can therefore underestimate the contribution of live animal movements in the spread of infectious diseases. Here, we used French live duck movement data (2016-2018) from one of the largest transport companies to compare direct and indirect contact patterns between duck farms and evaluate how these patterns were associated with the French 2016-2017 epidemic of highly pathogenic avian influenza H5N8. buy ABT-199 A total number of 614 farms were included in the study, and two directed networks were generated the animal introduction network (exchange of live ducks) and the transit network (transit of transport vehicles). Following descriptive analyses, these two networks were scrutinized in relation to farm infection status during the epidemic. Results showed tha but have been efficiently reduced to limit the spread during the French 2020-2021 epidemic. These results underpin the relevance of studying indirect contacts resulting from the movement of animals to understand their transmission potential and the importance of accounting for both routes when designing disease control strategies.The field of mRNA translation has witnessed an impressive expansion in the last decade. The once standard model of translation initiation has undergone, and is still undergoing, a major overhaul, partly due to more recent technical advancements detailing, for example, initiation at non-AUG codons. However, some of the pioneering works in this area have come from immunology and more precisely from the field of antigen presentation to the major histocompatibility class I (MHC-I) pathway. Despite early innovative studies from the lab of Nilabh Shastri demonstrating alternative mRNA translation initiation as a source for MHC-I peptide substrates, the mRNA translation field did not include these into their models. It was not until the introduction of the ribo-sequence technique that the extent of non-canonical translation initiation became widely acknowledged. The detection of peptides on MHC-I molecules by CD8 + T cells is extremely sensitive, making this a superior model system for studying alternative mRNA translation initiation from specific mRNAs. In view of this, we give a brief history on alternative initiation from an immunology perspective and its fundamental role in allowing the immune system to distinguish self from non-self and at the same time pay tribute to the works of Nilabh Shastri.Porous structures, including those with lattice geometries, have been shown to mimic the mechanical properties of the human bone. Apart from the widely known strut-based lattices, the Triply Periodic Minimal Surfaces (TPMS) concept has been introduced recently to create surface-based lattices and to tailor their mechanical behaviors. In this study, the numerical investigation of the effective elastic properties, the anisotropic behavior, and the local stress distributions of a broad range of topologies provide us with a complete numerical tool to assist bone implant design. The comparison database of the lattices includes TPMS-based lattices, both sheet, and skeletal, as well as strut-based lattices. The lattices are subjected to periodic boundary conditions and also, a homogenization method is deployed to simulate the response of the lattice unit cells determining their apparent equivalent stiffness. A correlation among the lattice topologies, their effective mechanical properties, and the local Von Mises stress concentrations in them is observed. The stress distribution of various topologies with the same elastic modulus is examined to combine all the investigations. Finally, a large variety of numerical results are presented to allow the comparison of the lattice structures and the selection of the optimal configuration that mimics the elastic properties of the bone.It is well established that the soft connective tissues show a nonlinear elastic response that comes from their microstructural arrangement. Tissues' microstructure alters with various physiological conditions and may affect their mechanical responses. Therefore, the accurate prediction of tissue's mechanical response is crucial for clinical diagnosis and treatments. Thus, a physically motivated and mathematically simplified model is required for the accurate prediction of tissues' mechanical and structural responses. This study explored the 'Exp-Ln' hyperelastic model (Khajehsaeid et al., 2013) to capture soft tissues' mechanical and histological behaviour. In this work, uniaxial tensile test data for the belly and back pig skin were extracted from the experiments performed in our laboratory, whereas uniaxial test data for other soft tissues (human skin, tendon, ligament, and aorta) were extracted from the literature. The 'Exp-Ln; and other hyperelastic models (e.g. Money Rivlin, Ogden, Yeoh, and Gent modelsr hyperelastic models. Overall, these results demonstrate the capability of 'Exp-Ln' model to predict the mechanical and structural responses of the soft tissues.Osteocytes buried in bone matrix are major mechanosensory cells that regulate bone remodeling in response to interstitial fluid flow in a lacuno-canalicular porosity. To gain an understanding of the mechanism of osteocyte mechanosensing, it is important to be able to evaluate the local strain on the osteocyte process membrane induced by the interstitial fluid flow. The microenvironment of the osteocytes, including the pericellular matrix (PCM) and canalicular ultrastructure, is a key modulator of the flow-induced strain on the osteocyte process membrane because it produces heterogeneous flow patterns in the pericellular space. To investigate the effect of changes in the microenvironment of osteocytes on the flow-induced strain, we developed a novel computational framework for analyzing the fluid-structure interaction. Computer simulations based on the proposed framework enabled evaluation of the spatial distribution of flow-induced strain on the osteocyte process membrane according to changes in the PCM density and canalicular curvature.