Retratos de Família. O Ensino-Aprendizagem da Interculturalidade, Mudança e Diversidade no Contexto do Ensino Superior

Este poster apresenta e sintetiza resultados da experiência de ensino-aprendizagem no âmbito da UC ‘Sociologia da Família’ [SOC2410], disciplina obrigatória do curso de 1.º ciclo de estudos em Sociologia e optativa para o curso de 1.º ciclo em Ciências da Educação na Universidade de Évora (Portugal), no ano letivo 2014/15, tomando como ponto de partida a análise de expressões da cultura que atravessam o quotidiano de estudantes e professores (e.g. obras literárias, músicas, filmes, peças de teatro, séries ou programas televisivos, pinturas, esculturas, etc.). A partir de uma análise detalhada das músicas “Postal dos Correios” (Rio Grande, 1996) e “Family Portrait” (Pink, 2001), explora-se o processo de modernização da família e extraem-se os “retratos de família” que permitem discutir transversalmente esta instituição como construção sociocultural

Cholesterol is Inefficiently Converted to Cholesteryl Esters in the Blood of Cardiovascular Disease Patients

Abstract Shotgun lipidomic analysis of 203 lipids in 13 lipid classes performed on blood plasma of donors who had just suffered an acute coronary syndrome (ACS, n = 74), or an ischemic stroke (IS, n = 21), or who suffer from stable angina pectoris (SAP, n = 78), and an age-matched control cohort (n = 52), showed some of the highest inter-lipid class correlations between cholesteryl esters (CE) and phosphatidylcholines (PC) sharing a common fatty acid. The concentration of lysophospatidylcholine (LPC) and ratios of concentrations of CE to free cholesterol (Chol) were also lower in the CVD cohorts than in the control cohort, indicating a deficient conversion of Chol to CE in the blood plasma in the CVD subjects. A non-equilibrium reaction quotient, Q′, describing the global homeostasis of cholesterol as manifested in the blood plasma was shown to have a value in the CVD cohorts (Q′ACS = 0.217 ± 0.084; Q′IS = 0.201 ± 0.084; Q′SAP = 0.220 ± 0.071) that was about one third less than in the control cohort (Q′Control = 0.320 ± 0.095, p < 1 × 10−4), suggesting its potential use as a rapid predictive/diagnostic measure of CVD-related irregularities in cholesterol homeostasis

Lipid profiling of chronic diseases

Funding Information: This work was supported by PTDC/MED-PAT/29395/2017 financially supported by Fundação para a Ciência e a Tecnologia (FCT), through national funds and co-funded by FEDER under the PT2020 Partnership. ND was a holder of PhD fellowship from the FCT (Ref. No.: SFRH/BD/51877/2012), attributed by the Inter-University Doctoral Programme in Ageing and Chronic Disease (PhDOC). LA was a holder of a FCT PhD fellowship (PD/BD/114254/2016), attributed by the ProRegem Doctoral Programme in 2016. Funding Information: This work was supported by PTDC/MED-PAT/29395/2017 financially supported by Funda??o para a Ci?ncia e a Tecnologia (FCT), through national funds and co-funded by FEDER under the PT2020 Partnership. ND was a holder of PhD fellowship from the FCT (Ref. No.: SFRH/BD/51877/2012), attributed by the Inter-University Doctoral Programme in Ageing and Chronic Disease (PhDOC). LA was a holder of a FCT PhD fellowship (PD/BD/114254/2016), attributed by the ProRegem Doctoral Programme in 2016. Anonymized data described in the manuscript are available in supplementary materials. Appendix. Supplementary materials, All data and R analysis is provided in the link: https://github.com/ruma1974/lipidProfillingRM/tree/master. It includes an R package with additional plotting functionality. Publisher Copyright: © 2021 The Author(s)Background: Localized stress and cell death in chronic inflammatory diseases may release tissue-specific lipids into the circulation causing the blood plasma lipidome to reflect the type of inflammation. However, deep lipid profiles of major chronic inflammatory diseases have not been compared. Methods: Plasma lipidomes of patients suffering from two etiologically distinct chronic inflammatory diseases, atherosclerosis-related vascular disease, including cardiovascular (CVD) and ischemic stroke (IS), and systemic lupus erythematosus (SLE), were screened by a top-down shotgun mass spectrometry-based analysis without liquid chromatographic separation and compared to each other and to age-matched controls. Lipid profiling of 596 lipids was performed on a cohort of 427 individuals. Machine learning classifiers based on the plasma lipidomes were used to distinguish the two chronic inflammatory diseases from each other and from the controls. Findings: Analysis of the lipidomes enabled separation of the studied chronic inflammatory diseases from controls based on independent validation test set classification performance (CVD vs control - Sensitivity: 0.94, Specificity: 0.88; IS vs control - Sensitivity: 1.0, Specificity: 1.0; SLE vs control – Sensitivity: 1, Specificity: 0.93) and from each other (SLE vs CVD ‒ Sensitivity: 0.91, Specificity: 1; IS vs SLE - Sensitivity: 1, Specificity: 0.82). Preliminary linear discriminant analysis plots using all data clearly separated the clinical groups from each other and from the controls, and partially separated CVD severities, as classified into five clinical groups. Dysregulated lipids are partially but not fully counterbalanced by statin treatment. Interpretation: Dysregulation of the plasma lipidome is characteristic of chronic inflammatory diseases. Lipid profiling accurately identifies the diseases and in the case of CVD also identifies sub-classes. Funding: Full list of funding sources at the end of the manuscript.publishersversionpublishe