The role of cellular prion protein in Alzheimer’s disease

Alzheimer’s disease (AD) is the most prevalent age-related neurodegenerative disease that leads to cognitive impairment and dementia. The major defined pathological hallmark of AD is the accumulation of amyloid beta (Aβ), a neurotoxic peptide, derived from beta and gamma-secretase cleavage of the amyloid precursor protein (APP). It has been described that cellular prion protein (PrPC) plays a role in the pathogenesis of Alzheimer disease. Although, the role of PrPC is still unclear, previous studies showed contradictious results. To elucidate this issue, the main objective of the present study is to investigate the influence of a knockout of the PRNP gene in 5XFAD mice, 5xFAD mice exhibited 5 mutations related to familial Alzheimer disease. These mice show an Aβ1-42 accumulation and an increased neuronal loss during aging. To create a bi-transgenic 5xFAD mice were crossed with Prnp0/0 Zurich 1 mice (prion protein knockout mice). We subjected two transgenic mice (5xFAD and Prnp0/05xFAD) at different ages (3, 9 and 12 months of age) to a battery of task to evaluate cognitive and motoric deficits and a biochemical analysis (ELISA, western blot and immunohistochemistry) to investigate the regulation and potential involvement of downstream signaling proteins in the Aβ induced toxicity process dependent of the PrPC concentration. The study revealed that the deficits induced by Aβ mediated toxicity appeared earlier in 5xFAD mice (9 months of age) than in Prnp0/05xFAD (12 months of age). Investigating the amount of amyloid beta in 5xFAD mice we observed a PrPC dependent regulation in 9 month-old animals of Aβ1−40 but not of the toxic form Aβ1−42. We did not found in Prnp0/05xFAD mice the up-regulation of P-Fyn, Fyn or Cav-1 as we found in 5xFAD mice. This suggests an important role of PrPC in Alzheimer’s disease as a promoter of toxic effect of Aβ oligomers. Our results may suggest the loss of PrPC delays the toxicity of amyloid beta. In conclusion, our data support a role of PrPC as a mediator of Aβ toxicity in AD by promoting early onset of disease.

Pathways of recent fine-grained sediment transport on the central Portuguese continental margin

Com o intuito de estudar as principais vias de transporte de sedimentos finos recentes na zona central da margem continental Oeste Portuguesa, parâmetros geoquímicos, mineralógicos e granulométricos foram analisados em sedimentos superficiais e em matéria particulada colhida em armadilhas de sedimentos e integrados com observações da hidrodinâmica de fundo. Os parâmetros geoquímicos foram também estudados na coluna de sedimentos depositada nos últimos 150 anos e em sedimentos pré-industriais. Os referidos parâmetros determinados foram: concentrações elementares, isótopos estáveis de Pb, teores em materiais litogénicos, carbonato de cálcio e carbono orgânico. Os canhões de Lisboa-Setúbal e Cascais tiveram especial destaque no presente estudo dado que, até à data, encontram-se menos estudados que o Canhão da Nazaré. Os resultados mostram que a distribuição de sedimentos na zona central da margem ocidental Portuguesa é particionada pelos canhões e que a exportação de sedimentos da plataforma para zonas mais profundas da margem é restringida pelas correntes do talude, excepto onde os canhões funcionam como corredores para o transporte de sedimentos. Enquanto no Canhão de Lisboa-Setúbal, e provavelmente no Canhão de Cascais, o transporte de sedimentos até à zona inferior é limitada, provavelmente apenas despoletado por eventos de elevada energia, no Canhão da Nazaré o transporte ao longo do todo o canhão parece eficiente. As zonas superiores dos canhões de Lisboa-Setúbal e Cascais presentemente actuam como armadilhas de sedimentos finos, aprisionando partículas em suspensão provenientes da plataforma adjacente. A introdução directa de sedimentos provenientes das plumas dos rios Tejo e Sado nas zonas superiores dos canhões parece limitada, contudo a resuspensão dos sedimentos do prodelta do Tejo como resultado de ondas de tempestade e ondas de maré interna permite o transporte de sedimentos para os canhões adjacentes. Na plataforma de Lisboa-Setúbal-Sines foram identificadas as assinaturas geoquímicas e mineralógicas de diferentes fontes de sedimentos finos (e.g. estuários do Tejo e Sado, arribas costeiras, lagoas de St. André e Melides). As concentrações elementares pré-industriais são muito semelhantes nos canhões da Nazaré e Lisboa-Setúbal, mas variados graus de enriquecimento antrópico de metais traço estão presentes nos sedimentos recentes. A mais acentuada influência antrópica na última área referida é consistente com a sua proximidade a áreas densamente povoadas e industrializadas e com input de sedimentos originários dos rios Tejo e Sado, potenciais transportadores de partículas poluentes. A dispersão de Pb atmosférico parece também significativa sendo que toda a zona da plataforma continental adjacente aos canhões de Lisboa-Setúbal e Cascais apresenta-se enriquecida. A principal fonte de Pb antrópico identificada através de isótopos estáveis de Pb é consistente com a assinatura das cinzas de incineradoras. No Canhão de Lisboa a imersão de dragados contaminados parece ser também uma potencial importante fonte de metais traço antropogénicos.

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.