160 research outputs found

    QCD and strongly coupled gauge theories : challenges and perspectives

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    We highlight the progress, current status, and open challenges of QCD-driven physics, in theory and in experiment. We discuss how the strong interaction is intimately connected to a broad sweep of physical problems, in settings ranging from astrophysics and cosmology to strongly coupled, complex systems in particle and condensed-matter physics, as well as to searches for physics beyond the Standard Model. We also discuss how success in describing the strong interaction impacts other fields, and, in turn, how such subjects can impact studies of the strong interaction. In the course of the work we offer a perspective on the many research streams which flow into and out of QCD, as well as a vision for future developments.Peer reviewe

    Die Stoffwechselwirkungen der Schilddrüsenhormone

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    Expression of cyclooxygenase-2 (COX-2) in tumour and stroma compartments in cervical cancer: clinical implications

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    This study aims at investigating the relationship between cyclooxygenase-2 expression in tumour vs stroma inflammatory compartment and its possible clinical role. The study included 99 stage IB-IV cervical cancer patients: immunostaining of tumour tissue sections was performed with rabbit antiserum against cyclooxygenase-2. CD3, CD4, CD8, CD25, Mast Cell Tryptase monoclonal antibodies were used to characterise stroma inflammatory cells in nine cervical tumours. An inverse relation was found between cyclooxygenase-2 levels (cyclooxygenase-2 IDV) of tumour vs stroma compartment (r=−0.44, P<0.0001). The percentage of cases showing high tumour/stromal cyclooxygenase-2 IDV ratio was significantly higher in patients who did not respond to treatment (93.3%) with respect to patients with partial (60.5%), and complete (43.7%) response (P= 0.009). Cases with a high tumour/stroma cyclooxygenase-2 IDV ratio had a shorter overall survival rate than cases with a low tumour/stroma cyclooxygenase-2 IDV (P<0.0001). In the multivariate analysis advanced stage and the status of tumour/stroma cyclooxygenase-2 IDV ratio retained an independent negative prognostic role. The proportion of CD3+, CD4+, and CD25+ cells was significantly lower in tumours with high tumour/stroma cyclooxygenase-2 IDV ratio, while a higher percentage of mast cells was detected in tumours showing high tumour/stroma cyclooxygenase-2 IDV ratio. Our study showed the usefulness of assessing cyclooxygenase-2 status both in tumour and stroma compartment in order to identify cervical cancer patients endowed with a very poor chance of response to neoadjuvant therapy and unfavourable prognosis

    Variants in the <em>DDX6-CXCR5</em> autoimmune disease risk locus influence the regulatory network in immune cells and salivary gland

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    \ua9 2025 The Author(s). Objectives: Sj\uf6gren\u27s disease (SjD) and systemic lupus erythematosus (SLE) share genetic risk at the DDX6-CXCR5 locus (11q23.3). Identifying and functionally characterising shared SNPs spanning this locus can provide new insights into common genetic mechanisms of autoimmunity. Methods: Transdisease meta-analyses, fine-mapping, and bioinformatic analyses prioritised shared likely functional single nucleotide polymorphisms (SNPs) for allele-specific and cell type–specific functional interrogation using electromobility shift, luciferase reporter, and quantitative chromatin conformation capture assays and clustered regularly interspaced short palindromic repeat (CRISPR) gene regulation. Results: Five shared SNPs were identified as likely functional in primary human immune cells, salivary gland and kidney tissues: rs57494551, rs4936443, rs4938572, rs7117261, and rs4938573. All 5 SNPs exhibited cell type-specific and allele-specific effects on nuclear protein binding affinity and enhancer/promoter regulatory activity in immune, salivary gland epithelial, and kidney epithelial cell models. Mapping of chromatin–chromatin interactions revealed a chromatin regulatory network that expanded beyond DDX6 and CXCR5 to include PHLDB1, lnc-PHLDB1-1, BCL9L, TRAPPC4, among others. Coalescence of functional assays and multiomic data analyses indicated that these SNPs likely modulate the activity of 3 regulatory regions: intronic rs57494551 regulatory region, intergenic SNP haplotype (rs4938572, rs4936443, and rs7117261) regulatory region, and rs4938573 regulatory region upstream of the CXCR5 promoter. Conclusions: Shared genetic susceptibly at the DDX6-CXCR5 locus in SjD and SLE likely alters common mechanisms of autoimmunity, including interferon signalling (DDX6), autophagy (TRAPPC4), and lymphocytic infiltration of disease-target tissues (CXCR5). Further, using multiomic data from patients with SjD, combined with bioinformatic and in vitro functional studies, can provide mechanistic insights into how genetic risk influences the biological pathways that drive complex autoimmunity

    The Siblings With Ischemic Stroke Study (SWISS) Protocol

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    BACKGROUND: Family history and twins studies suggest an inherited component to ischemic stroke risk. Candidate gene association studies have been performed but have limited capacity to identify novel risk factor genes. The Siblings With Ischemic Stroke Study (SWISS) aims to conduct a genome-wide scan in sibling pairs concordant or discordant for ischemic stroke to identify novel genetic risk factors through linkage analysis. METHODS: Screening at multiple clinical centers identifies patients (probands) with radiographically confirmed ischemic stroke and a family history of at least 1 living full sibling with stroke. After giving informed consent, without violating privacy among other family members, the proband invites siblings concordant and discordant for stroke to participate. Siblings then contact the study coordinating center. The diagnosis of ischemic stroke in potentially concordant siblings is confirmed by systematic centralized review of medical records. The stroke-free status of potentially discordant siblings is confirmed by validated structured telephone interview. Blood samples for DNA analysis are taken from concordant sibling pairs and, if applicable, from 1 discordant sibling. Epstein-Barr virus-transformed lymphoblastoid cell lines are created, and a scan of the human genome is planned. DISCUSSION: Conducting adequately powered genomics studies of stroke in humans is challenging because of the heterogeneity of the stroke phenotype and the difficulty of obtaining DNA samples from clinically well-characterized members of a cohort of stroke pedigrees. The multicentered design of this study is intended to efficiently assemble a cohort of ischemic stroke pedigrees without invoking community consent or using cold-calling of pedigree members

    Structure of high-lying levels populated in the Y-96 -> Zr-96 beta decay

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    The nature of Jπ=1J^{\pi}=1^- levels of 96^{96}Zr below the β\beta-decay QβQ_{\beta} value of 96^{96}Y has been investigated in high-resolution γ\gamma-ray spectroscopy following the β\beta decay as well as in a campaign of inelastic photon scattering experiments. Branching ratios extracted from β\beta decay allow the absolute E1E1 excitation strength to be determined for levels populated in both reactions. The combined data represents a comprehensive approach to the wavefunction of 11^- levels below the QβQ_{\beta} value, which are investigated in the theoretical approach of the Quasiparticle Phonon Model. This study clarifies the nuclear structure properties associated with the enhanced population of high-lying levels in the 96^{96}Ygs_{gs} β\beta decay, one of the three most important contributors to the high-energy reactor antineutrino spectrum

    A framework for evolutionary systems biology

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    <p>Abstract</p> <p>Background</p> <p>Many difficult problems in evolutionary genomics are related to mutations that have weak effects on fitness, as the consequences of mutations with large effects are often simple to predict. Current systems biology has accumulated much data on mutations with large effects and can predict the properties of knockout mutants in some systems. However experimental methods are too insensitive to observe small effects.</p> <p>Results</p> <p>Here I propose a novel framework that brings together evolutionary theory and current systems biology approaches in order to quantify small effects of mutations and their epistatic interactions <it>in silico</it>. Central to this approach is the definition of fitness correlates that can be computed in some current systems biology models employing the rigorous algorithms that are at the core of much work in computational systems biology. The framework exploits synergies between the realism of such models and the need to understand real systems in evolutionary theory. This framework can address many longstanding topics in evolutionary biology by defining various 'levels' of the adaptive landscape. Addressed topics include the distribution of mutational effects on fitness, as well as the nature of advantageous mutations, epistasis and robustness. Combining corresponding parameter estimates with population genetics models raises the possibility of testing evolutionary hypotheses at a new level of realism.</p> <p>Conclusion</p> <p>EvoSysBio is expected to lead to a more detailed understanding of the fundamental principles of life by combining knowledge about well-known biological systems from several disciplines. This will benefit both evolutionary theory and current systems biology. Understanding robustness by analysing distributions of mutational effects and epistasis is pivotal for drug design, cancer research, responsible genetic engineering in synthetic biology and many other practical applications.</p
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