5,000 research outputs found

    Correlation of triglyceride-glucose index and dyslipidaemia with premature coronary heart diseases and multivessel disease:a cross-sectional study in Tianjin, China

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    Objectives: Over the past decade, the incidence and global burden of coronary heart disease (CHD) have increased in the young population. We aimed to identify patient characteristics and risk factors for premature CHD, including single-vessel disease (SVD) and multivessel disease (MVD).Design: Retrospective, cross-sectional study.Setting: Demographic and clinical data of patients with CHD were collected from the patient medical records of a tertiary hospital in Tianjin, China, between 2014 and 2017.Participants: A total of 2846 patients were enrolled in the study.Primary and secondary outcome measures: Premature CHD, which is the primary outcome, was defined as men&lt;45 years and women&lt;55 years. MVD, which is the secondary outcome, was defined as at least two vessels with ≥50% stenosis. Logistic regression models were applied to analyse the characteristics and risk factors of premature CHD and MVD.Results: Most of the characteristics between patients with premature and mature CHD were not statistically significant. A significantly higher dyslipidaemia prevalence was found in female patients with premature CHD (OR=1.412, 95% CI: 1.029 to 1.936). In the crude model, instead of premature SVD, premature (OR=2.065, 95% CI: 1.426 to 2.991) or mature (OR=1.837, 95% CI: 1.104 to 3.056) MVD was more common in female patients with the highest triglyceride-glucose (TyG) index quartile than those with the lowest TyG index quartile. In male patients, the same trend was observed for mature MVD (OR=2.272, 95% CI: 1.312 to 3.937). The significance of the TyG index was not revealed in multivariate analyses; however, hypertension, diabetes, obesity, smoking, old myocardial infarction and lipoprotein (a) showed a positive association with MVD.Conclusions: Dyslipidaemia should be considered as an effective factor for the prediction and prevention of premature CHD in women. The TyG index can be a simple auxiliary indicator that can be used in population-based cardiovascular disease screening for the early identification of vascular disease severity. </p

    Chromosome-level genome assembly of a regenerable maize inbred line A188

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    Background: The maize inbred line A188 is an attractive model for elucidation of gene function and improvement due to its high embryogenic capacity and many contrasting traits to the first maize reference genome, B73, and other elite lines. The lack of a genome assembly of A188 limits its use as a model for functional studies. Results: Here, we present a chromosome-level genome assembly of A188 using long reads and optical maps. Comparison of A188 with B73 using both whole-genome alignments and read depths from sequencing reads identify approximately 1.1 Gb of syntenic sequences as well as extensive structural variation, including a 1.8-Mb duplication containing the Gametophyte factor1 locus for unilateral cross-incompatibility, and six inversions of 0.7 Mb or greater. Increased copy number of carotenoid cleavage dioxygenase 1 (ccd1) in A188 is associated with elevated expression during seed development. High ccd1 expression in seeds together with low expression of yellow endosperm 1 (y1) reduces carotenoid accumulation, accounting for the white seed phenotype of A188. Furthermore, transcriptome and epigenome analyses reveal enhanced expression of defense pathways and altered DNA methylation patterns of the embryonic callus. Conclusions: The A188 genome assembly provides a high-resolution sequence for a complex genome species and a foundational resource for analyses of genome variation and gene function in maize. The genome, in comparison to B73, contains extensive intra-species structural variations and other genetic differences. Expression and network analyses identify discrete profiles for embryonic callus and other tissues

    tissue of rat adjuvant-induced arthritis

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    Triptolide has been clinically used to treat patients with rheumatoid arthritis, in which chemokine receptors play an important role in immune and inflammatory responses. To investigate the effect of triptolide on CCR5, we used complete Freund’s adjuvant to produce adjuvant-induced arthritis (AIA) in rats. Our data show that both CCR5 mRNA and protein levels in synovial tissue of rats with AIA are significantly higher than those in normal rats. Triptolide can significantly inhibit rat AIA-induced overexpression of CCR5 at both mRNA and protein levels. These results may contribute to better understanding of the therapeutic effects of triptolide in rheumatoid arthritis. Key words: triptolide, CCR5, adjuvant induced arthritis, rheumatoid arthriti

    The decay rate of ψ(2S)\psi(2S) to Λc+Σ+ˉ\Lambda_c+\bar{\Sigma^+} in SM and beyond

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    With rapid growth of the database of the BES III and the proposed super flavor factory, measurement on the rare ψ(2S)\psi(2S) decays may be feasible, especially the weak decays into baryon final states. In this work we study the decay rate of ψ(2S)\psi(2S) to Λc+Σ+‾\Lambda_c+\overline{\Sigma^+} in the SM and physics beyond the SM (here we use the unparticle model as an example). The QPC model is employed to describe the creation of a pair of qqˉq\bar q from vacuum. We find that the rate of ψ(2S)→Λc+Σ+‾\psi(2S)\rightarrow \Lambda_c+\overline{\Sigma^+} is at order of 10−1010^{-10} in the SM, whereas the contribution of the unparticle is too small to be substantial. Therefore if a large branching ratio is observed, it must be due to new physics beyond SM, but by no means the unparticle.Comment: 9 pages, 1 figure

    Entanglement Structure: Entanglement Partitioning in Multipartite Systems and Its Experimental Detection Using Optimizable Witnesses

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    Creating large-scale entanglement lies at the heart of many quantum information processing protocols and the investigation of fundamental physics. For multipartite quantum systems, it is crucial to identify not only the presence of entanglement but also its detailed structure. This is because in a generic experimental situation with sufficiently many subsystems involved, the production of so-called genuine multipartite entanglement remains a formidable challenge. Consequently, focusing exclusively on the identification of this strongest type of entanglement may result in an all or nothing situation where some inherently quantum aspects of the resource are overlooked. On the contrary, even if the system is not genuinely multipartite entangled, there may still be many-body entanglement present in the system. An identification of the entanglement structure may thus provide us with a hint about where imperfections in the setup may occur, as well as where we can identify groups of subsystems that can still exhibit strong quantum-information-processing capabilities. However, there is no known efficient methods to identify the underlying entanglement structure. Here, we propose two complementary families of witnesses for the identification of such structures. They are based on the detection of entanglement intactness and entanglement depth, each requires only the implementation of solely two local measurements. Our method is also robust against noises and other imperfections, as reflected by our experimental implementation of these tools to verify the entanglement structure of five different eight-photon entangled states. We demonstrate how their entanglement structure can be precisely and systematically inferred from the experimental data. In achieving this goal, we also illustrate how the same set of data can be classically postprocessed to learn the most about the measured system.Comment: 21 pages, 13 figure
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