Entre o fazer e o dever

A compreensão da ocorrência das doenças em termos de risco e o estabelecimento de relações com os chamados estilos de vida, colocam na experiência de doença um acréscimo de conotações morais, um dever de autodisciplina e responsabilidade. Estes princípios têm sido inúmeras vezes sublinhados nos discursos e políticas da Saúde Pública, nomeadamente no que concerne às doenças cardiovasculares pela importância epidemiológica, económica e social de que se revestem e consequente necessidade de redução da sua grande incidência na população, como é o caso de Portugal. A hipertensão, como doença crónica e fator de risco cardiovascular sujeita os doentes a controlo médico periódico, terapêutica farmacológica e impele a um comprometimento com comportamentos alimentares e exercício físico adequado. Através das entrevistas realizadas a doentes hipertensos utentes da consulta específica em Cuidados de Saúde Primários, verifica-se a presença de modos diversos de agir perante a circunstância de se ter hipertensão arterial, mostrando a presença de várias racionalidades, apreciações e valorações práticas dos comportamentos de saúde e doença e do próprio corpo. Para os doentes hipertensos entrevistados, a hipertensão arterial não é encarada como uma “verdadeira doença”, sendo vista sobretudo como resultado do envelhecimento e dos excessos que se acumularam no corpo, consequentes da própria vida. Nas narrativas de experiência de doença, os conceitos de moderação e equilíbrio, “ter cuidado”, parecem servir de mecanismo de operacionalização entre aquilo que são as recomendações médicas e as práticas individuais. Constatam-se as capacidades dos doentes hipertensos construírem para si formas de gestão da doença e do medo, sendo que os seus comportamentos podem passar por assumir o controlo dos fatores de risco ou ignorá-los. Em qualquer dos casos, as representações e ações relativas à hipertensão e às recomendações médicas a ela associadas integram-se nas práticas quotidianas dos doentes, ajustando-se a hábitos e representações instaladas, constituindo-se em modos distintos de agir dos doentes hipertensos.

Therapeutics bioconjugates: evaluation of iminoboronates as payload delivery system for cancer

The advent of bioconjugation impacted deeply the world of sciences and technology. New biomolecules were found, biological processes were understood, and novel methodologies were formed due to the fast expansion of this area. The possibility of creating new effective therapies for diseases like cancer is one of big applications of this now big area of study. Off target toxicity was always the problem of potent small molecules with high activity towards specific tumour targets. However, chemotherapy is now selective due to powerful linkers that connect targeting molecules with affinity to interesting biological receptors and cytotoxic drugs. This linkers must have very specific properties, such as high stability in plasma, no toxicity, no interference with ligand affinity nor drug potency, and at the same time, be able to lyse once inside the target molecule to release the therapeutic warhead. Bipolar environments between tumour intracellular and extracellular medias are usually exploited by this linkers in order to complete this goal. The work done in this thesis explores a new model for that same task, specific cancer drug delivery. Iminoboronates were studied due to its remarkable selective stability towards a wide pH range and endogenous molecules. A fluorescence probe was design to validate this model by creating an Off/On system and determine the payload release location in situ. A process was optimized to synthetize the probe 8-(1-aminoethyl)-7-hydroxy-coumarin (1) through a reductive amination reaction in a microwave reactor with 61 % yield. A method to conjugate this probe to ABBA was also optimized, obtaining the iminoboronate in good yields in mild conditions. The iminoboronate model was studied regarding its stability in several simulated biological environments and each half-life time was determined, showing the conjugate is stable most of the cases except in tumour intracellular systems. The construction of folate-ABBA-coumarin bioconjugate have been made to complete this evaluation. The ability to be uptaken by a cancer cell through endocytosis process and the conjugation delivery of coumarin fluorescence payload are two features to hope for in this construct.

Learning domain-specific sentiment lexicons with applications to recommender systems

Search is now going beyond looking for factual information, and people wish to search for the opinions of others to help them in their own decision-making. Sentiment expressions or opinion expressions are used by users to express their opinion and embody important pieces of information, particularly in online commerce. The main problem that the present dissertation addresses is how to model text to find meaningful words that express a sentiment. In this context, I investigate the viability of automatically generating a sentiment lexicon for opinion retrieval and sentiment classification applications. For this research objective we propose to capture sentiment words that are derived from online users’ reviews. In this approach, we tackle a major challenge in sentiment analysis which is the detection of words that express subjective preference and domain-specific sentiment words such as jargon. To this aim we present a fully generative method that automatically learns a domain-specific lexicon and is fully independent of external sources. Sentiment lexicons can be applied in a broad set of applications, however popular recommendation algorithms have somehow been disconnected from sentiment analysis. Therefore, we present a study that explores the viability of applying sentiment analysis techniques to infer ratings in a recommendation algorithm. Furthermore, entities’ reputation is intrinsically associated with sentiment words that have a positive or negative relation with those entities. Hence, is provided a study that observes the viability of using a domain-specific lexicon to compute entities reputation. Finally, a recommendation system algorithm is improved with the use of sentiment-based ratings and entities reputation.