Publications by authors named "E G Pearson"

Antiphospholipid syndrome is an autoimmune disease characterised by thrombotic and/or obstetric manifestations with persistent antiphospholipid antibodies. Diagnosis involves confirming the persistence of antiphospholipid antibodies in symptomatic patients, using validated classification criteria as a guide. The likelihood of obtaining false-positive or false-negative test results in certain settings, and the lack of standardisation between laboratory methods, are important considerations.

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Background: Prior studies have demonstrated an association between retinal vascular features and cardiovascular disease (CVD), however most studies have only evaluated a few simple parameters at a time. Our aim was to determine whether a deep-learning artificial intelligence (AI) model could be used to predict CVD outcomes from routinely obtained diabetic retinal screening photographs and to compare its performance to a traditional clinical CVD risk score.

Methods: We included 6127 individuals with type 2 diabetes without myocardial infarction or stroke prior to study entry.

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Aims: Acute hypoglycaemia promotes pro-inflammatory cytokine production, increasing the risk for cardiovascular events in diabetes. AMP-activated protein kinase (AMPK) is regulated by and influences the production of pro-inflammatory cytokines. We sought to examine the mechanistic role of AMPK in low glucose-induced changes in the pro-inflammatory cytokine macrophage migration inhibitory factor (MIF), which is elevated in people with diabetes.

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Article Synopsis
  • * A study was conducted using mass spectrometry to analyze the differences in metabolome (metabolism) and proteome (proteins) between healthy left and right ventricles, revealing significant metabolic changes.
  • * In advanced heart conditions like dilated and ischemic cardiomyopathy, the distinct metabolic pathways between the ventricles become less pronounced, but the left ventricle shows more adverse changes related to heart failure.
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  • The study focuses on detecting multijet signatures from proton-proton collisions at a high energy of 13 TeV, analyzing a dataset totaling 128 fb^{-1}.
  • A special data scouting method is utilized to pick out events with low combined momentum in jets.
  • This research is pioneering in its investigation of electroweak particle production in R-parity violating supersymmetric models, particularly examining hadronically decaying mass-degenerate higgsinos, and it broadens the limits on the existence of R-parity violating top squarks and gluinos.
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