Ritmos biológicos, cronotipo e funções cognitivas : um estudo de campo

Os primeiros estudos onde se tentava avaliar os melhores horários para se lecionar de forma a se poderem otimizar os horários escolares são já muito antigos. O primeiro a estabelecer uma relação sistemática entre performance cognitiva, Cronobiologia e sono foi Kleitman, evidenciando uma paralelismo entre o ritmo circadiano da temperatura central e a altura do dia em que eram realizadas tarefas simples de repetição. Após este primeiro estudo, muitos outros se seguiram, contudo a maioria apenas encontrou ritmos em protocolos de rotina constante e dessincronização forçada desprovidos de validade ecológica. Acresce ainda o facto de neste tipo de estudos não haver uma manipulação sistemática do efeito do padrão individual de distribuição dos parâmetros circadianos no nictómero, designado na literatura como Cronotipo. Perante isto, o presente estudo pretende avaliar a influência do Cronotipo nos ritmos cognitivos, utilizando um protocolo de rotina normal (Ecológico), onde também se manipula o efeito fim-de-semana. Para testar as premissas supramencionadas, utilizou-se uma amostra de 16 alunos universitários, que numa primeira fase responderam ao questionário de Matutinidade e Vespertinidade de Horne&Östberg, para caracterização do Cronotipo, e posteriormente andaram 15-17 dias consecutivos com tempatilumis (actímetros) para análise de ritmos de temperatura e atividade, com iPads onde realizavam ao longo do dia várias tarefas cognitivas e com o Manual de Registo Diário, onde respondiam ao diário de sono e de atividade. A análise de dados denotou a inexistência de expressão de ritmos na maioria dos parâmetros cognitivos inviabilizando a verificação de diferenças significativas entre indivíduos matutinos e vespertinos nestes parâmetros. Esta ausência de visualização da expressão rítmica pode ser explicada pelo facto de os participantes não terem aderido da forma desejada e exigida, à realização das tarefas cognitivas, ou pelo facto de termos usado um protocolo de rotina normal, em detrimento dos protocolos de rotina constate e dessincronização forçada, não controlando assim algumas variáveis que influenciam o desempenho cognitivo, podendo estas mascarar ou mesmo eliminar o ritmo. Ainda assim e apesar destas contingências observaram-se ritmos circadianos nas variáveis de autoavaliação, mesmo com o paradigma ecológico. Verificou-se ainda um efeito da hora do dia em vários parâmetros de tarefas cognitivas e motoras medidas objetivamente, assim como uma diminuição da performance cognitiva nos vespertinos, comparativamente aos matutinos, na janela temporal das 6h às 12 horas, que coincide com a maior concentração de horas de aulas por dia na Universidade onde o estudo foi realizado. Outros estudos serão necessários para consolidar a influência do Cronotipo nos ritmos cognitivos, utilizando o protocolo de rotina normal para garantir a validade ecológica, salvaguardando uma participação mais ativa na execução das tarefas cognitivas por parte dos sujeitos em estudo.

Ecology and conservation of felids in the Brazilian pantanal

Habitat conversion and environmental degradation have reached alarming levels in the Pantanal, endangering all its biodiversity. This scenario is complicated by the fact that the biome relies on only a few protected areas, which combined do not exceed 10% of the territory. Felids, as predators, play a vital role in the maintenance of this ecosystem, but require large areas, have low population densities and, typically, are very sensitive to environmental disturbances. Amolar Mountain Ridge is considered an area of extreme importance and high priority for conservation within the biome. There are four species of felids in this region: the jaguar (Panthera onca), the puma (Puma concolor), the ocelot (Leopardus pardalis), and jaguarundi (Puma yagouaroundi). However, little is known about the ecology of these species in this region or the magnitude of interaction between the communities living around the protected areas and the animals. The goal of this study was to increase our knowledge about these felids and understand how people interact with them in order to contribute to their conservation in the network of parks within Amolar. Camera trapping surveys were carried out in two areas of the network, covering approximately 83,000 hectares, in order to identify the species of mammals occurring in the region, those that may be potential prey for the felids, and to obtain basic ecological data about both felids and prey. In addition, we conducted surveys in three riverside schools in order to assess the knowledge, perceptions and attitudes of schoolchildren regarding the four focal felids, and surveys among the adult population to assess their perceptions and attitudes towards the jaguar. We recorded a total of 33 species of mammals from both study areas. The large cats were cathemeral, reflecting the temporal activity of larger prey, whereas the ocelot was nocturnal, mirroring the activity of smaller prey. Jaguar occupancy was influenced by prey abundance, while puma occupancy was influenced by patch density in drier dense forest. Jaguars and pumas may be competitors over temporal and spatial scales, while no resource overlap was found for ocelots. Overall, both adults and children tended to have negative perceptions about the cats, which were related to the fear of being attacked. To increase awareness about the species and to maximize the effectiveness of protective measures in the network of reserves, it is recommended to develop and implement an Environmental Educational Program in the medium- to long-term in order to minimize the fear of these felids and to counsel locals on the role of felids in the maintenance of the Pantanal’s biodiversity.

Metabolic signature of lung cancer: a metabolomic study of human tissues and biofluids

This thesis reports the application of metabolomics to human tissues and biofluids (blood plasma and urine) to unveil the metabolic signature of primary lung cancer. In Chapter 1, a brief introduction on lung cancer epidemiology and pathogenesis, together with a review of the main metabolic dysregulations known to be associated with cancer, is presented. The metabolomics approach is also described, addressing the analytical and statistical methods employed, as well as the current state of the art on its application to clinical lung cancer studies. Chapter 2 provides the experimental details of this work, in regard to the subjects enrolled, sample collection and analysis, and data processing. In Chapter 3, the metabolic characterization of intact lung tissues (from 56 patients) by proton High Resolution Magic Angle Spinning (HRMAS) Nuclear Magnetic Resonance (NMR) spectroscopy is described. After careful assessment of acquisition conditions and thorough spectral assignment (over 50 metabolites identified), the metabolic profiles of tumour and adjacent control tissues were compared through multivariate analysis. The two tissue classes could be discriminated with 97% accuracy, with 13 metabolites significantly accounting for this discrimination: glucose and acetate (depleted in tumours), together with lactate, alanine, glutamate, GSH, taurine, creatine, phosphocholine, glycerophosphocholine, phosphoethanolamine, uracil nucleotides and peptides (increased in tumours). Some of these variations corroborated typical features of cancer metabolism (e.g., upregulated glycolysis and glutaminolysis), while others suggested less known pathways (e.g., antioxidant protection, protein degradation) to play important roles. Another major and novel finding described in this chapter was the dependence of this metabolic signature on tumour histological subtype. While main alterations in adenocarcinomas (AdC) related to phospholipid and protein metabolisms, squamous cell carcinomas (SqCC) were found to have stronger glycolytic and glutaminolytic profiles, making it possible to build a valid classification model to discriminate these two subtypes. Chapter 4 reports the NMR metabolomic study of blood plasma from over 100 patients and near 100 healthy controls, the multivariate model built having afforded a classification rate of 87%. The two groups were found to differ significantly in the levels of lactate, pyruvate, acetoacetate, LDL+VLDL lipoproteins and glycoproteins (increased in patients), together with glutamine, histidine, valine, methanol, HDL lipoproteins and two unassigned compounds (decreased in patients). Interestingly, these variations were detected from initial disease stages and the magnitude of some of them depended on the histological type, although not allowing AdC vs. SqCC discrimination. Moreover, it is shown in this chapter that age mismatch between control and cancer groups could not be ruled out as a possible confounding factor, and exploratory external validation afforded a classification rate of 85%. The NMR profiling of urine from lung cancer patients and healthy controls is presented in Chapter 5. Compared to plasma, the classification model built with urinary profiles resulted in a superior classification rate (97%). After careful assessment of possible bias from gender, age and smoking habits, a set of 19 metabolites was proposed to be cancer-related (out of which 3 were unknowns and 6 were partially identified as N-acetylated metabolites). As for plasma, these variations were detected regardless of disease stage and showed some dependency on histological subtype, the AdC vs. SqCC model built showing modest predictive power. In addition, preliminary external validation of the urine-based classification model afforded 100% sensitivity and 90% specificity, which are exciting results in terms of potential for future clinical application. Chapter 6 describes the analysis of urine from a subset of patients by a different profiling technique, namely, Ultra-Performance Liquid Chromatography coupled to Mass Spectrometry (UPLC-MS). Although the identification of discriminant metabolites was very limited, multivariate models showed high classification rate and predictive power, thus reinforcing the value of urine in the context of lung cancer diagnosis. Finally, the main conclusions of this thesis are presented in Chapter 7, highlighting the potential of integrated metabolomics of tissues and biofluids to improve current understanding of lung cancer altered metabolism and to reveal new marker profiles with diagnostic value.