Cadmium phytotoxicity and trophic transfer to isopods

O cádmio (Cd) é um metal não essencial e é considerado um poluente prioritário pela comunidade europeia. Este metal atinge o ambiente no decurso de várias actividades antropogénicas e tende a concentrar-se nos solos e sedimentos, onde está potencialmente disponível para as plantas, sendo posteriormente transferido através da cadeia trófica. Neste contexto, o principal objectivo da presente dissertação foi o estudo dos efeitos da assimilação e da acumulação de Cd em plantas e as suas consequências para animais consumidores. Numa primeira fase, foram estudados os principais efeitos fisiológicos e genotóxicos do Cd em plantas. As plantas de alface (Lactuca sativa L.) expostas a Cd apresentaram um decréscimo na eficiência fotossintética, aumento de peroxidação lipídica e alterações significativas na actividade de enzimas de stress oxidativo. Estas alterações culminaram num decréscimo do crescimento da parte aérea no final da exposição. As respostas obtidas pelos parâmetros bioquímicos sugerem que estes poderão ser utilizados como eventuais biomarcadores em testes ecotoxicológicos com Cd em abordagens integrantes em conjunto com parâmetros clássicos. Os efeitos mutagénicos de Cd foram avaliados através da determinação da instabilidade de microsatélites (IM). Não foi observada IM, nem nas folhas nem nas raízes de plantas de alface com 5 semanas de idade expostas a 100 μM Cd durante 14 dias, no entanto observou-se IM em raízes de alface exposta a 10 μM Cd durante 28 dias desde a germinação. A idade da planta e a maior acumulação de Cd nas raízes poderão explicar os resultados obtidos. A clastogenicidade de Cd foi analisada em três espécies vegetais com diferentes capacidades de destoxificação e acumulação de metais através de citometria de fluxo. Foram detectadas alterações significativas nos parâmetros analisados em raízes alface, mas não nas espécies Thlaspi caerulescens J & C Presl e Thlaspi arvense L. Estes resultados sugerem que o stress provocado pelo Cd originou clastogenicidade como consequência da perda de porções de cromossomas, uma vez que o conteúdo de ADN nuclear diminuiu. A transferência trófica através da cadeia alimentar permanece muito pouco estudada em termos ecotoxicológicos. A distribuição subcellular de metais num organismo pode ser utilizada para compreender a transferência trófica de um metal na cadeia alimentar. Como tal, numa última parte é estudado de que modo a distribuição subcellular do Cd em plantas com perfis de acumulação de Cd distintos afecta a biodisponibilidade e transferência trófica de Cd para isópodes. A distribuição de Cd entre as 4 fracções subcelulares obtidas através de centrifugação diferencial revelou a existência de diferenças significativas entre as espécies de plantas. Estes resultados em conjunto com a avaliação directa da eficiência de assimilação (EA) de Cd individual de cada uma das quatro fracções subcelulares das plantas em estudo, resultou em informação de grande relevância para a explicação das diferenças observadas na EA de Cd por parte de isópodes alimentados com folhas de diferentes espécies de plantas. Com base nos resultados obtidos, o Cd ligado a proteínas estáveis à temperatura (e.g. metaloteoninas e fitoquelatinas) é o menos biodisponível, sendo assim o que menos contribuiu para a transferência trófica, enquanto que o Cd ligado a proteínas desnaturadas pela temperatura foi a fracção mais disponível para transferência trófica de Cd ao isópode. Estes resultados realçam a relevância ecológica da distribuição subcelular de Cd em plantas que tem influência directa na tranferência trófica deste metal para os consumidores e ainda o facto de que alterações na distribuição subcelular de Cd em plantas devido a diferentes mecanismos de destoxificação poderá ter um impacto directo na transferência trófica de Cd para o animal consumidor.

Molecular reconstruction of a genetic code alteration

The genetic code establishes the rules that govern gene translation into proteins. It was established more than 3.5 billion years ago and it is one of the most conserved features of life. Despite this, several alterations to the standard genetic code have been discovered in both prokaryotes and eukaryotes, namely in the fungal CTG clade where a unique seryl transfer RNA (tRNACAG Ser) decodes leucine CUG codons as serine. This tRNACAG Ser appeared 272±25 million years ago through insertion of an adenosine in the middle position of the anticodon of a tRNACGA Ser gene, which changed its anticodon from 5´-CGA-3´ to 5´-CAG-3´. This most dramatic genetic event restructured the proteome of the CTG clade species, but it is not yet clear how and why such deleterious genetic event was selected and became fixed in those fungal genomes. In this study we have attempted to shed new light on the evolution of this fungal genetic code alteration by reconstructing its evolutionary pathway in vivo in the yeast Saccharomyces cerevisiae. For this, we have expressed wild type and mutant versions of the C. albicans tRNACGA Ser gene into S. cerevisiae and evaluated the impact of the mutant tRNACGA Ser on fitness, tRNA stability, translation efficiency and aminoacylation kinetics. Our data demonstrate that these mutants are expressed and misincorporate Ser at CUGs, but their expression is repressed through an unknown molecular mechanism. We further demonstrate, using in vivo forced evolution methodologies, that the tRNACAG Ser can be easily inactivated through natural mutations that prevent its recognition by the seryl-tRNA synthetase. The overall data show that repression of expression of the mistranslating tRNACAG Ser played a critical role on the evolution of CUG reassignment from Leu to Ser. In order to better understand the evolution of natural genetic code alterations, we have also engineered partial reassignment of various codons in yeast. The data confirmed that genetic code ambiguity affects fitness, induces protein aggregation, interferes with the cell cycle and results in nuclear and morphologic alterations, genome instability and gene expression deregulation. Interestingly, it also generates phenotypic variability and phenotypes that confer growth advantages in certain environmental conditions. This study provides strong evidence for direct and critical roles of the environment on the evolution of genetic code alterations.

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.

Evaluation of the matabolic response of osteosarcoma cells to conventional and new anticancer drugs by NMR metabolomics

The main scope of this work was to evaluate the metabolic effects of anticancer agents (three conventional and one new) in osteosarcoma (OS) cells and osteoblasts, by measuring alterations in the metabolic profile of cells by nuclear magnetic resonance (NMR) spectroscopy metabolomics. Chapter 1 gives a theoretical framework of this work, beginning with the main metabolic characteristics that globally describe cancer as well as the families and mechanisms of action of drugs used in chemotherapy. The drugs used nowadays to treat OS are also presented, together with the Palladium(II) complex with spermine, Pd2Spm, potentially active against cancer. Then, the global strategy for cell metabolomics is explained and the state of the art of metabolomic studies that analyze the effect of anticancer agents in cells is presented. In Chapter 2, the fundamentals of the analytical techniques used in this work, namely for biological assays, NMR spectroscopy and multivariate and statistical analysis of the results are described. A detailed description of the experimental procedures adopted throughout this work is given in Chapter 3. The biological and analytical reproducibility of the metabolic profile of MG-63 cells by high resolution magic angle spinning (HRMAS) NMR is evaluated in Chapter 4. The metabolic impact of several factors (cellular integrity, spinning rate, temperature, time and acquisition parameters) on the 1H HRMAS NMR spectral profile and quality is analysed, enabling the definition of the best acquisition parameters for further experiments. The metabolic consequences of increasing number of passages in MG-63 cells as well as the duration of storage are also investigated. Chapter 5 describes the metabolic impact of drugs conventionally used in OS chemotherapy, through NMR metabolomics studies of lysed cells and aqueous extracts analysis. The results show that MG-63 cells treated with cisplatin (cDDP) undergo a strong up-regulation of lipid contents, alterations in phospholipid constituents (choline compounds) and biomarkers of DNA degradation, all associated with cell death by apoptosis. Cells exposed to doxorubicin (DOX) or methotrexate (MTX) showed much slighter metabolic changes, without any relevant alteration in lipid contents. However, metabolic changes associated with altered Krebs cycle, oxidative stress and nucleotides metabolism were detected and were tentatively interpreted at the light of the known mechanisms of action of these drugs. The metabolic impact of the exposure of MG-63 cells and osteoblasts to cDDP and the Pd2Spm complex is described in Chapter 6. Results show that, despite the ability of the two agents to bind DNA, the metabolic consequences that arise from exposure to them are distinct, namely in what concerns to variation in lipid contents (absent for Pd2Spm). Apoptosis detection assays showed that, differently from what was seen for MG-63 cells treated with cDDP, the decreased number of living cells upon exposure to Pd2Spm was not due to cell death by apoptosis or necrosis. Moreover, the latter agent induces more marked alterations in osteoblasts than in cancer cells, while the opposite seemed to occur upon cDDP exposure. Nevertheless, the results from MG-63 cells exposure to combination regimens with cDDP- or Pd2Spm-based cocktails, described in Chapter 7, revealed that, in combination, the two agents induce similar metabolic responses, arising from synergy mechanisms between the tested drugs. Finally, the main conclusions of this thesis are summarized in Chapter 8, and future perspectives in the light of this work are presented.