Novel critical phenomena in optimization driven processes on networks

The work presented in this Ph.D thesis was developed in the context of complex network theory, from a statistical physics standpoint. We examine two distinct problems in this research field, taking a special interest in their respective critical properties. In both cases, the emergence of criticality is driven by a local optimization dynamics. Firstly, a recently introduced class of percolation problems that attracted a significant amount of attention from the scientific community, and was quickly followed up by an abundance of other works. Percolation transitions were believed to be continuous, until, recently, an 'explosive' percolation problem was reported to undergo a discontinuous transition, in [93]. The system's evolution is driven by a metropolis-like algorithm, apparently producing a discontinuous jump on the giant component's size at the percolation threshold. This finding was subsequently supported by number of other experimental studies [96, 97, 98, 99, 100, 101]. However, in [1] we have proved that the explosive percolation transition is actually continuous. The discontinuity which was observed in the evolution of the giant component's relative size is explained by the unusual smallness of the corresponding critical exponent, combined with the finiteness of the systems considered in experiments. Therefore, the size of the jump vanishes as the system's size goes to infinity. Additionally, we provide the complete theoretical description of the critical properties for a generalized version of the explosive percolation model [2], as well as a method [3] for a precise calculation of percolation's critical properties from numerical data (useful when exact results are not available). Secondly, we study a network flow optimization model, where the dynamics consists of consecutive mergings and splittings of currents flowing in the network. The current conservation constraint does not impose any particular criterion for the split of current among channels outgoing nodes, allowing us to introduce an asymmetrical rule, observed in several real systems. We solved analytically the dynamic equations describing this model in the high and low current regimes. The solutions found are compared with numerical results, for the two regimes, showing an excellent agreement. Surprisingly, in the low current regime, this model exhibits some features usually associated with continuous phase transitions.

Thick-microstructures for MPGDs: simulations and experimental studies

Cherenkov Imaging counters require large photosensitive areas, capable of single photon detection, operating at stable high gains under radioactive backgrounds while standing high rates, providing a fast response and a good time resolution, and being insensitive to magnetic fields. The development of photon detectors based in Micro Pattern Gaseous detectors (MPGDs), represent a new generation of gaseous photon detectors. In particular, gaseous detectors based on stacked Thick-Gaseous Electron Multipliers (THGEMs), or THGEM based structures, coupled to a CsI photoconverter coating, seem to fulfil the requirements imposed by Cherenkov imaging counters. This work focus on the study of the THGEM-based detectors response as function of its geometrical parameters and applied voltages and electric fields, aiming a future upgrade of the Cherenkov Imaging counter RICH-1 of the COMPASS experiment at CERN SPS. Further studies to decrease the fraction of ions that reach the photocathode (Ion Back Flow – IBF) to minimize the ageing and maximize the photoelectron extraction are performed. Experimental studies are complemented with simulation results, also perfomed in this work.

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.

Synthesis and functionalization of hydroxyapatite nanoparticles

Graças aos desenvolvimentos na área da síntese de nanomaterais e às potentes técnicas de caracterização à nanoescala conseguimos hoje visualizar uma nanopartícula (NP) como um dispositivo de elevado potencial terapêutico. A melhoria da sua efectividade terapêutica requer no entanto o aprofundamento e sistematização de conhecimentos, ainda muito incipientes, sobre toxicidade, selectividade, efeitos colaterais e sua dependência das próprias características físico-químicas da NP em análise. O presente trabalho, elegendo como alvo de estudo uma substância considerada biocompatível e não tóxica, a hidroxiapatite (Hap), pretende dar um contributo para esta área do conhecimento. Definiram-se como metas orientadoras deste trabalho (i) estudar a síntese de nanoparticulas de Hap (Hap NP), e a modificação das características físico-químicas e morfológicas das mesmas através da manipulação das condições de síntese; (ii) estudar a funcionalização das Hap NP com nanoestruturas de ouro e com ácido fólico, para lhes conferir capacidades acrescidas de imagiologia e terapêuticas, particularmente interessantes em aplicações como o tratamento do cancro (iii) estudar a resposta celular a materiais nanométricos, com propriedades físico-químicas diversificadas. No que se refere à síntese de Hap NP, comparam-se dois métodos de síntese química distintos, a precipitação química a temperatura fisiológica (WCS) e a síntese hidrotérmica (HS), em meios aditivados com ião citrato. A síntese WCS originou partículas de tamanho nanométrico, com uma morfologia de agulha, pouco cristalinas e elevada área superficial especifica. A síntese HS à temperatura de 180ºC permitiu obter partículas de dimensões também nanométricas mas com área específica inferior, com morfologia de bastonete prismático com secção recta hexagonal e elevada cristalinidade. Com o objectivo de aprofundar o papel de algumas variáveis experimentais na definição das características finais das partículas de hidroxiapatite, designadamente o papel do ião citrato (Cit), variou-se a razão molar [Cit/Ca] da solução reagente e o tempo de síntese. Demonstrou-se que o ião citrato e outras espécies químicas resultantes da sua decomposição nas condições térmicas (180ºC) de síntese tem um papel preponderante na velocidade de nucleação e de crescimento dessas mesmas partículas e por conseguinte nas características físico-químicas das mesmas. Elevadas razões [Cit/Ca] originam partículas de dimensão micrométrica cuja morfologia é discutida no contexto do crescimento com agregação. Com o objectivo de avaliar a citotoxicidade in vitro das nanopartículas sintetizadas procedeu-se à esterilização das mesmas. O método de esterilização escolhido foi a autoclavagem a 121º C. Avaliou-se o impacto do processo de esterilização nas características das partículas, verificando-se contrariamente às partículas WCS, que as partículas HS não sofrem alterações significativas de morfologia, o que se coaduna com as condições de síntese das mesmas, que são mais severas do que as de esterilização. As partículas WCS sofrem processos de dissolução e recristalização que se reflectem em alterações significativas de morfologia. Este estudo demonstrou que a etapa de esterilização de nanopartículas para aplicações biomédicas, por autoclavagem, pode alterar substancialmente as propriedades das mesmas, sendo pois criticamente importante caracterizar os materiais após esterilização. Os estudos citotoxicológicos para dois tipos de partículas esterilizadas (HSster e WCSster) revelaram que ambas apresentam baixa toxicidade e possuem potencial para a modelação do comportamento de células osteoblásticas. Tendo em vista a funcionalização da superfície das Hap NP para multifunções de diagnóstico e terapia exploraram-se condições experimentais que viabilizassem o acoplamento de nanopartículas de ouro à superfície das nanopartículas de Hidroxiapatite (Hap-AuNP). Tirando partido da presença de grupos carboxílicos adsorvidos na superfície das nanopartículas de Hap foi possível precipitar partículas nanométricas de ouro (1,5 a 2,5 nm) na superfície das mesmas adaptando o método descrito por Turkevich. No presente trabalho as nanopartículas de Hap funcionaram assim como um template redutor do ouro iónico de solução, propiciando localmente, na superfície das próprias nanopartículas de Hap, a sua redução a ouro metálico. A nucleação do ouro é assim contextualizada pelo papel redutor das espécies químicas adsorvidas, designadamente os grupos carboxílicos derivados de grupos citratos que presidiram à síntese das próprias nanopartículas de Hap. Estudou-se também a funcionalização das Hap NP com ácido fólico (FA), uma molécula biologicamente interessante por ser de fácil reconhecimento pelos receptores existentes em células cancerígenas. Os resultados confirmaram a ligação do ácido fólico à superfície das diferentes partículas produzidas HS e Hap-AuNPs. Graças às propriedades ópticas do ouro nanométrico (efeito plasmão) avaliadas por espectroscopia vis-UV e às potencialidades de hipertermia local por conversão fototérmica, as nanoestruturas Hap-AuNPs produzidas apresentam-se com elevado interesse enquanto nanodispositivos capazes de integrar funções de quimio e terapia térmica do cancro e imagiologia. O estudo da resposta celular aos diversos materiais sintetizados no presente trabalho foi alvo de análise na tentativa de se caracterizar a toxicidade dos mesmos bem como avaliar o seu desempenho em aplicações terapêuticas. Demonstrou-se que as Hap NP não afectam a proliferação das células para concentrações até 500 g/ml, observando-se um aumento na expressão genética da BMP-2 e da fosfatase alcalina. Verificou-se também que as Hap NP são susceptíveis de internalização por células osteoblásticas MG63, apresentando uma velocidade de dissolução intracelular relativamente reduzida. A resposta celular às Hap-AuNP confirmou a não citotoxicidade destas partículas e revelou que a presença do ouro na superfície das Hap NP aumenta a taxa proliferação celular, bem como a expressão de parâmetros osteogénicos. No seu conjunto os resultados sugerem que os vários tipos de partículas sintetizadas no presente estudo apresentam também comportamentos interessantes para aplicações em engenharia de tecido ósseo.

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.

Study of tRNA modifying enzymes and codon usage bias in cancer

Recent evidences indicate that tRNA modifications and tRNA modifying enzymes may play important roles in complex human diseases such as cancer, neurological disorders and mitochondrial-linked diseases. We postulate that expression deregulation of tRNA modifying enzymes affects the level of tRNA modifications and, consequently, their function and the translation efficiency of their tRNA corresponding codons. Due to the degeneracy of the genetic code, most amino acids are encoded by two to six synonymous codons. This degeneracy and the biased usage of synonymous codons cause alterations that can span from protein folding to enhanced translation efficiency of a select gene group. In this work, we focused on cancer and performed a meta-analysis study to compare microarray gene expression profiles, reported by previous studies and evaluate the codon usage of different types of cancer where tRNA modifying enzymes were found de-regulated. A total of 36 different tRNA modifying enzymes were found de-regulated in most cancer datasets analyzed. The codon usage analysis revealed a preference for codons ending in AU for the up-regulated genes, while the down-regulated genes show a preference for GC ending codons. Furthermore, a PCA biplot analysis showed this same tendency. We also analyzed the codon usage of the datasets where the CTU2 tRNA modifying enzyme was found deregulated as this enzyme affects the wobble position (position 34) of specific tRNAs. Our data points to a distinct codon usage pattern between up and downregulated genes in cancer, which might be caused by the deregulation of specific tRNA modifying enzymes. This codon usage bias may augment the transcription and translation efficiency of some genes that otherwise, in a normal situation, would be translated less efficiently.