Developing and evaluating the integration of Life and Social Sciences teaching to first-year Nursing and Midwifery students

Title: Evaluating the integrating of life and social sciences teaching to first-year nursing and midwifery students

Objectives: To evaluate an integrated teaching and learning approach to first-year nursing students, combining the life, social sciences and public health with a more integrated and clinical focused approach to teaching delivery

Background: Historically within the School of Nursing and Midwifery the life sciences and social sciences had been taught as separate modules with separate teaching teams. This had reflected in a somewhat dis-integrated approach to student learning and understanding without clear clinical focus on application. With focus upon student learning the teaching teams engaged with a stepped, incremental and progressive movement towards developing and delivering a more integrated structure of learning, combining the life sciences, social sciences and public health teaching and learning within the one extended first-year module. The focus was particularly on integrated understanding and clinical relevance. This paper discusses both the approach to developing the integrated model of teaching and the evaluation of that teaching.

Results: The module, combining life, social science and Public health teaching was positively evaluated by the students. Evaluations are compared and contrasted from to nursing student intakes.

Integration of copy number and transcriptomics provides risk stratification in prostate cancer: A discovery and validation cohort study

BACKGROUND: Understanding the heterogeneous genotypes and phenotypes of prostate cancer is fundamental to improving the way we treat this disease. As yet, there are no validated descriptions of prostate cancer subgroups derived from integrated genomics linked with clinical outcome.

METHODS: In a study of 482 tumour, benign and germline samples from 259 men with primary prostate cancer, we used integrative analysis of copy number alterations (CNA) and array transcriptomics to identify genomic loci that affect expression levels of mRNA in an expression quantitative trait loci (eQTL) approach, to stratify patients into subgroups that we then associated with future clinical behaviour, and compared with either CNA or transcriptomics alone.

FINDINGS: We identified five separate patient subgroups with distinct genomic alterations and expression profiles based on 100 discriminating genes in our separate discovery and validation sets of 125 and 103 men. These subgroups were able to consistently predict biochemical relapse (p = 0.0017 and p = 0.016 respectively) and were further validated in a third cohort with long-term follow-up (p = 0.027). We show the relative contributions of gene expression and copy number data on phenotype, and demonstrate the improved power gained from integrative analyses. We confirm alterations in six genes previously associated with prostate cancer (MAP3K7, MELK, RCBTB2, ELAC2, TPD52, ZBTB4), and also identify 94 genes not previously linked to prostate cancer progression that would not have been detected using either transcript or copy number data alone. We confirm a number of previously published molecular changes associated with high risk disease, including MYC amplification, and NKX3-1, RB1 and PTEN deletions, as well as over-expression of PCA3 and AMACR, and loss of MSMB in tumour tissue. A subset of the 100 genes outperforms established clinical predictors of poor prognosis (PSA, Gleason score), as well as previously published gene signatures (p = 0.0001). We further show how our molecular profiles can be used for the early detection of aggressive cases in a clinical setting, and inform treatment decisions.

INTERPRETATION: For the first time in prostate cancer this study demonstrates the importance of integrated genomic analyses incorporating both benign and tumour tissue data in identifying molecular alterations leading to the generation of robust gene sets that are predictive of clinical outcome in independent patient cohorts.

Development and Validation of a Lateral Flow Immunoassay for the Rapid Screening of Okadaic Acid and All Dinophysis Toxins from Shellfish Extracts

A single-step lateral flow immunoassay was developed and validated to detect okadaic acid (OA) and dinophysis toxins (DTXs), which cause diarrhetic shellfish poisoning. The performance characteristics of the test were investigated, in comparison to reference methods (liquid chromatography tandem mass spectrometry and/or bioassay), using both spiked and naturally contaminated shellfish. A portable reader was used to generate a qualitative result, indicating the absence or presence of OA-group toxins, at concentrations relevant to the maximum permitted level (MPL). Sample homogenates could be screened in 20 min (including extraction and assay time) for the presence of free toxins (OA, DTX1, DTX2). DTX3 detection could be included with the addition of a hydrolysis procedure. No matrix effects were observed from the species evaluated (mussels, scallops, oysters, and clams). Results from naturally contaminated samples (n = 72) indicated no false compliant results and no false noncompliant results at <50% MPL. Thus, the development of a new low-cost but highly effective tool for monitoring a range of important phycotoxins has been demonstrated.

Identification and validation of the dopamine agonist bromocriptine as a novel therapy for high-risk myelodysplastic syndromes and secondary acute myeloid leukemia

Myelodysplastic syndromes (MDS) represent a broad spectrum of diseases characterized by their clinical manifestation as one or more cytopenias, or a reduction in circulating blood cells. MDS is predominantly a disease of the elderly, with a median age in the UK of around 75. Approximately one third of MDS patients will develop secondary acute myeloid leukemia (sAML) that has a very poor prognosis. Unfortunately, most standard cytotoxic agents are often too toxic for older patients. This means there is a pressing unmet need for novel therapies that have fewer side effects to assist this vulnerable group. This challenge was tackled using bioinformatic analysis of available transcriptomic data to establish a gene-based signature of the development and progression of MDS. This signature was then used to identify novel therapeutic compounds via statistically-significant connectivity mapping. This approach suggested re-purposing an existing and widely-prescribed drug, bromocriptine as a novel potential therapy in these disease settings. This drug has shown selectivity for leukemic cells as well as synergy with current therapies.

Design, synthesis and validation of an inhibitor of CGRP degradation

Introduction: In addition to their afferent role in detection and signalling noxious stimuli, neuropeptide-containing sensory nerves may initiate and maintain chronic inflammation in diseases such as periodontitis by an efferent process known as neurogenic inflammation. Neuropeptides are susceptible to cleavage by peptidases, and therefore, the exact location and level of expression of peptidases are major determinants of neuropeptide action. Previous studies in our laboratory showed that enzyme components of gingival crevicular fluid (GCF) from periodontitis sites selectively inactivated the neuropeptide calcitonin gene-related peptide (CGRP), known to have a role in inhibiting osteoclastic bone resorption. Objectives: The aim of this study was to design and synthesise a specific inhibitor to prevent the degradation of CGRP by components of GCF. Methods: A hydroxamate-based inhibitor with a biotinylated tag was designed to ensure selectivity for CGRP and ease of use for future purification strategies. The biotinylated peptide hydroxamate contained the P1-P4 amino acid sequence of the potential CGRP cleavage site and was synthesised by solid-phase methods using standard Fmoc chemistry. Inhibition of CGRP metabolism by GCF was determined by MALDI-mass spectrometry (MALDI-MS) using pooled GCF samples from periodontitis patients as a crude source of the CGRP-degrading enzyme. Results: MALDI-MS analysis of CGRP degradation showed almost complete inhibition in the presence of the biotinylated inhibitor. Our results showed that the rate-limiting step in the cleavage of CGRP is endopeptidase cleavage, followed by carboxypeptidase attack. Conclusion: This study demonstrates that the enzyme component of GCF responsible for the degradation of CGRP can be inhibited by a biotinylated hydroxamate modelled on a potential endopeptidase cleavage site. The biotin tag on the inhibitor will facilitate our future purification of the CGRP-cleavage enzyme using a streptavidin-agarose column.

Development and Validation of a Procedure for Numerical Vibration Analysis of an Oscillating Wave Surge Converter

During extreme sea states so called impact events can be observed on the wave energy converter Oyster. In small scale experimental tests these impact events cause high frequency signals in the measured load which decrease confidence in the data obtained. These loads depend on the structural dynamics of the model. Amplification of the loads can occur and is transferred through the structure from the point of impact to the load cell located in the foundation. Since the determination of design data and load cases for Wave Energy Converters originate from scale experiments, this lack of confidence has a direct effect on the development.

Numerical vibration analysis is a valuable tool in the research of the structural load response of Oyster to impact events, but must take into account the effect of the surrounding water. This can be done efficiently by adding an added mass distribution, computed with a linearised potential boundary element method. This paper presents the development and validation of a numerical procedure, which couples the OpenSource boundary element code NEMOH with the Finite Element Analysis tool CodeAster. Numerical results of the natural frequencies and mode shapes of the structure under the influence of added mass due to specific structural modes are compared with experimental results.

Calibration and validation of hydrodynamic, salt and heat transport models for Ria de Aveiro lagoon (Portugal)

Ria deAveiro is a very complex shallow water coastal lagoon located on the northwest of Portugal. Important issues would be left unanswered without a good understanding of hydrodynamic and transport processes occurring in the lagoon. Calibration and validation of hydrodynamic, salt and heat transport models for Ria de Aveiro lagoon are presented. The calibration of the hydrodynamic model was performed adjusting the bottom friction coefficient, through the comparison between measured and predicted time series of sea surface elevation for 22 stations. Harmonic analysis was performed in order to evaluate the model's accuracy. To validate the hydrodynamic model measured and predicted SSE values were compared for 11 stations, as well as main flow direction velocities for 10 stations. The salt and heat transport models were calibrated comparing measured and predicted time series of salinity and water temperature for 7 stations, and the RMS of the difference between the series was determined. These models were validated comparing the model results with an independent field data set. The hydrodynamic and the salt and heat transport models for Ria de Aveiro were successfully calibrated and validated. They reproduce accurately the barotropic flows and can therefore adequately represent the salt and heat transport and the heat transfer processes occurring in Ria deAveiro.

Head Space-Trap GC-MS method development and validation for the analysis of volatile organic compounds in water samples

Dissertação de Mestrado, Qualidade em Análises, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2015

Landslide susceptibility evaluation and validation at a regional scale

Tese de doutoramento, Geografia (Geografia Física), Universidade de Lisboa, Instituto de Geografia e Ordenamento do Território, 2014