1,720,957 research outputs found

    Bioinformatic platforms for clinical stratification of natural history of atherosclerotic cardiovascular diseases

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    Although bioinformatic methods gained a lot of attention in the latest years, their use in real-world studies for primary and secondary prevention of atherosclerotic cardiovascular diseases (ASCVD) is still lacking. Bioinformatic resources have been applied to thousands of individuals from the Framingham Heart Study as well as health care-associated biobanks such as the UK Biobank, the Million Veteran Program, and the CARDIoGRAMplusC4D Consortium and randomized controlled trials (i.e. ODYSSEY, FOURIER, ASPREE, and PREDIMED). These studies contributed to the development of polygenic risk scores (PRS), which emerged as novel potent genetic-oriented tools, able to calculate the individual risk of ASCVD and to predict the individual response to therapies such as statins and proprotein convertase subtilisin/kexin type 9 inhibitor. ASCVD are the first cause of death around the world including coronary heart disease (CHD), peripheral artery disease, and stroke. To achieve the goal of precision medicine and personalized therapy, advanced bioinformatic platforms are set to link clinically useful indices to heterogeneous molecular data, mainly epigenomics, transcriptomics, metabolomics, and proteomics. The DIANA study found that differential methylation of ABCA1, TCF7, PDGFA, and PRKCZ significantly discriminated patients with acute coronary syndrome from healthy subjects and their expression levels positively associated with CK-MB serum concentrations. The ARIC Study revealed several plasma proteins, acting or not in lipid metabolism, with a potential role in determining the different pleiotropic effects of statins in each subject. The implementation of molecular high-throughput studies and bioinformatic techniques into traditional cardiovascular risk prediction scores is emerging as a more accurate practice to stratify patients earlier in life and to favour timely and tailored risk reduction strategies. Of note, radiogenomics aims to combine imaging features extracted for instance by coronary computed tomography angiography and molecular biomarkers to create CHD diagnostic algorithms useful to characterize atherosclerotic lesions and myocardial abnormalities. The current view is that such platforms could be of clinical value for prevention, risk stratification, and treatment of ASCVD

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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    Atherogenic dyslipidaemia and residual cardiovascular risk: Understanding the link to heart disease

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    Background: A significant proportion of patients continue to experience cardiovascular (CV) events despite achieving recommended low-density lipoprotein cholesterol (LDL-C) targets, a phenomenon referred to as residual CV risk. Methods: Clinical evidence from large outcome trials highlights the impact of residual risk on cardiovascular disease (CVD) burden, underscoring the need for therapeutic strategies beyond LDL-C lowering. Residual CV risk arises from diverse mechanisms, including persistent atherogenic dyslipidaemia [elevated triglyceride-rich lipoproteins (TRL), high triglycerides (TG), low high-density lipoprotein cholesterol (HDL-C) levels and increased apolipoprotein B (ApoB), Lipoprotein(a) (Lp[a]) and non-HDL-C], chronic inflammation, metabolic disorders and a prothrombotic state. These abnormalities continue to drive atherosclerotic progression in optimally treated patients, underscoring that managing residual CV risk requires a multifaceted approach. Results: Lifestyle and dietary interventions remain foundational, targeting weight reduction, smoking cessation or adoption of a Mediterranean diet. Pharmacological options include statins (as first-line therapy), or the use of ezetimibe, or bempedoic acid since they both have complementary effects to LDL-C lowering. Emerging therapies, including proprotein convertase subtilisin/kexin type 9 (PCSK9), apolipoprotein C-III (ApoC3) and angiopoietin-like 3 (ANGPTL3) inhibitors, demonstrate potential efficacy in favourably modulating lipid profiles and targeting specific components of atherogenic dyslipidaemia (AD). Combination therapies tailored to individual lipid profiles show promise to reduce residual CV risk. Conclusion: The following review aims to provide a comprehensive overview of the latest evidence on the factors driving residual CV risk and the therapeutic interventions available to treat atherogenic dyslipidaemia beyond LDL-C reduction

    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used

    Blood CD45+/CD3+ lymphocyte-released extracellular vesicles and mortality in hospitalized patients with coronavirus disease 2019

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    Background: The global pandemic of coronavirus disease 2019 (COVID-19) represented a major public health concern. Growing evidence shows that plasma of COVID-19 patients contains large numbers of circulating extracellular vesicles (cEVs) that correlate with disease severity and recovery. In this study, we sought to characterize the longitudinal cEV signature in critically ill COVID-19 patients during hospitalization and its relation to mortality risk. Methods: cEVs were quantitatively and phenotypically analysed in hospitalized non-surviving COVID-19 patients at baseline (n = 42) and before exitus (n = 40) and in 40 healthy volunteers as a reference group by high sensitivity nano flow cytometry using specific markers for parental cell sources and activation. Results: Levels of cEV subtypes differed between patients with severe COVID-19 and healthy subjects, specifically those from platelets and endothelial, inflammatory and viral infected cells, which associate to high mortality risk. In the longitudinal analysis from baseline to the time point immediately preceding death, no changes were found for platelet, pan-leukocyte, and lung epithelial cell-shed cEVs, while endothelial cell releases of EVs (eEVs) significantly differed. Vascular endothelial growth factor receptor 2-positive eEVs were significantly increased before death compared to admission whereas endoglin and E-selectin-containing eEVs did not change. Conversely, lymphocyte (lEV), monocyte, macrophage, pericyte and progenitor cell-derived cEVs displayed significant reductions before exitus. Noteworthy, levels of CD45+/CD3+-lEVs were significantly associated to the patient's survival time. Conclusions: An evolving cEV profile able to discriminate prompt risk of death during hospitalization has been defined suggesting a role for circulating and vascular cell-derived EVs in COVID-19 pathogenesis
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