Publications by authors named "Aisling Doyle"

Background: A comparison of pneumonias due to SARS-CoV-2 and influenza, in terms of clinical course and predictors of outcomes, might inform prognosis and resource management. We aimed to compare clinical course and outcome predictors in SARS-CoV-2 and influenza pneumonia using multi-state modelling and supervised machine learning on clinical data among hospitalised patients.

Methods: This multicenter retrospective cohort study of patients hospitalised with SARS-CoV-2 (March-December 2020) or influenza (Jan 2015-March 2020) pneumonia had the composite of hospital mortality and hospice discharge as the primary outcome.

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Objectives: To investigate whether maternal plasma glycogen phosphorylase BB (GPBB) levels were altered in early pregnancy and/or at the time of diagnosis of disease in preeclampsia (term and preterm <37 weeks' gestation) or small for gestational age (SGA).

Methods: We conducted 6 nested case-control studies within the Screening of Pregnancy Endpoint (SCOPE) Ireland cohort. Blood samples from women with preeclampsia or SGA were analyzed both from the time of disease presentation and at 15 and 20 weeks' gestation.

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Background: Glycogen phosphorylase is a key enzyme in the regulation of glycogen metabolism and consists of three isoenzymes, including glycogen phosphorylase isoenzyme BB (GPBB). Pre-eclampsia, gestational hypertension, and small-for-gestational-age (SGA) infants are complications in about 15% of all nulliparous pregnancies. Biomarkers for these adverse pregnancy outcomes remain elusive.

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Introduction: Glycogen phosphorylase isoenzyme BB (GPBB) is a marker of acute coronary syndromes. Pre-eclampsia (PE) and coronary syndrome share several aetiological and pathophysiological features. GPBB levels have previously been found to be elevated in pregnancy and preterm PE.

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Background: Synonymous codon usage bias has typically been correlated with, and attributed to translational efficiency. However, there are other pressures on genomic sequence composition that can affect codon usage patterns such as mutational biases. This study provides an analysis of the codon usage patterns in Arabidopsis thaliana in relation to gene expression levels, codon volatility, mutational biases and selective pressures.

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Controlled vocabularies are increasingly used by databases to describe genes and gene products because they facilitate identification of similar genes within an organism or among different organisms. One of The Arabidopsis Information Resource's goals is to associate all Arabidopsis genes with terms developed by the Gene Ontology Consortium that describe the molecular function, biological process, and subcellular location of a gene product. We have also developed terms describing Arabidopsis anatomy and developmental stages and use these to annotate published gene expression data.

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Arabidopsis thaliana is the most widely-studied plant today. The concerted efforts of over 11 000 researchers and 4000 organizations around the world are generating a rich diversity and quantity of information and materials. This information is made available through a comprehensive on-line resource called the Arabidopsis Information Resource (TAIR) (http://arabidopsis.

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The Arabidopsis Information Resource (TAIR; http://arabidopsis.org) provides an integrated view of genomic data for Arabidopsis thaliana. The information is obtained from a battery of sources, including the Arabidopsis user community, the literature, and the major genome centers.

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