Salivary proteomics and peptidomics of type 1 diabetes Mellitus

A Diabetes Mellitus (DM) compreende um conjunto de desordens metabólicas comuns caracterizadas por hiperglicemia, que afeta diferentes órgãos do organismo. Ao longo do tempo, ocorrem danos microvasculares no glomérulo renal, retina e nervos periféricos, bem como doença macrovascular nas artérias. A composição da saliva também é afetada pela DM, com consequências na homeostasia oral. No entanto, o proteoma e o peptidoma salivar têm sido pouco explorados na DM tipo 1 e nas suas complicações crónicas. Tendo em conta o crescente interesse na saliva como fluido diagnóstico, o objetivo principal deste trabalho foi avaliar os eventos proteolíticos subjacentes à DM tipo 1 e às suas complicações microvasculares, bem como, caracterizar as alterações induzidas pela DM tipo 1 no proteoma e peptidoma salivar. A DM tipo 1 e particularmente as complicações microvasculares associadas modulam o perfil proteolítico dos fluidos biológicos, com diferenças significativas de atividade observadas na urina e saliva, atribuídas principalmente ao complexo Metaloproteinase da Matriz (MMP)-9/lipocalina associada à gelatinase de neutrófilos, aminopeptidase N, azurocidina e calicreína 1. O aumento da atividade proteolítica observado na saliva total dos diabéticos resultou no aumento da percentagem de péptidos, principalmente de um número acrescido de fragmentos de colagénio do tipo I, refletindo possivelmente um estado inflamatório crónico dos tecidos orais e periodontais. O peptidoma também corrobora uma maior suscetibilidade das proteínas salivares, especificamente, das proteínas ricas em prolina básicas (bPRP) 1, bPRP2 e proteínas ricas em prolina ácidas (aPRP) à proteólise, evidenciando a geração de fragmentos de proteínas associadas à ligação a bactérias. A análise do proteoma salivar baseada em iTRAQ mostrou uma sobre-expressão de L-plastina, fator do adenocarcinoma do pâncreas e das proteínas S100-A8 e S100-A9, enfatizando a importância do sistema imune inato na patogénese da DM tipo 1 e das complicações microvasculares associadas. A análise integrada de todas as proteínas expressas diferencialmente entre os pacientes diabéticos com ou sem complicações microvasculares e indivíduos saudáveis foi realizada com o STRING, onde se observam três conjuntos funcionalmente ligados, um compreende a interação entre o colagénio tipo I, colagénio tipo II e MMP-9, um segundo conjunto envolve a MMP-2 e o colagénio de tipo I e um terceiro conjunto composto por proteínas salivares e inflamatórias. Estes conjuntos estão associados com as vias Kegg de interação recetor-matriz extracelular, de adesão focal e migração transendotelial dos leucócitos. Por outro lado, a análise do proteoma e peptidoma salivar destacou potenciais biomarcadores para o diagnóstico e prognóstico da DM tipo 1 e das suas complicações.

Studies of epithelial response to streptozotocin-induced hyperglycemia

A hiperglicemia é a principal característica da diabetes mellitus (DM), uma das causas de morte que mais cresce em Portugal, e cujas complicações a longo prazo são mais debilitantes e mais sobrecarregam os sistemas de saúde. No entanto, os mecanismos subjacentes à resposta fisiológica de alguns tecidos à hiperglicemia não estão completamente esclarecidos. Este estudo teve como objetivo avaliar de que forma o tempo de exposição à hiperglicemia afeta dois tecidos epiteliais, o endotélio e as glândulas salivares, que são frequentemente associados a complicações da DM, utilizando um modelo animal. Adicionalmente, procurou-se encontrar novos biomarcadores para avaliar a suscetibilidade a complicações orais em diabéticos, analisando as modificações pós-traducionais (PTMs) da família de proteínas mais representativa na saliva humana: proteínas ricas em prolina (PRPs). A disfunção vascular está na origem de várias complicações da diabetes. Neste sentido, observou-se uma progressiva disfunção endotelial com o aumento do tempo de exposição à hiperglicemia, que resulta do aumento de danos no endotélio e da diminuição da capacidade de mobilização de células progenitoras. Simultaneamente, o aumento observado na atividade da via de ativação do sistema de complemento mediada por lectinas (MBL), sugere um envolvimento do sistema de imunidade inata na patogénese da disfunção vascular. Outra complicação comum da DM é o desenvolvimento de doenças orais, nomeadamente as relacionadas com a redução da secreção salivar. Na análise às glândulas submandibulares, observou-se uma resposta inicial à hiperglicemia com fortes variações na expressão de proteínas, mas a longo prazo, estas variações foram atenuadas, sugerindo um mecanismo de adaptação à hiperglicemia crónica. Adicionalmente, as proteínas relacionadas com a secreção, como as anexinas, apresentaram-se sobre-expressas, enquanto as calicreinas e proteínas metabólicas estavam sub-expressas. Estas variações sugerem que, apesar de uma diminuição da capacidade de regeneração, as células tentam superar a perda de tecido por meio do aumento da secreção, embora sem êxito. O comprometimento funcional das glândulas salivares tem consequências na composição e funções da saliva. Analisando as PTMs das PRPs salivares humanas, observou-se um aumento da frequência de péptidos com ciclização de resíduos N-terminais de glutamina a piroglutamato, o que confere uma resistência à atividade proteolítica que, por sua vez, se encontra aumentada em diabéticos. Assim, a presença de péptidos com N-piroglutamato poderá ser um potencial biomarcador da suscetibilidade a complicações orais em diabéticos.

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.

Infection mechanism of Diplodia corticola

Diplodia corticola is regarded as the most virulent fungus involved in cork oak decline, being able to infect not only Quercus species (mainly Q. suber and Q. ilex), but also grapevines (Vitis vinifera) and eucalypts (Eucalyptus sp.). This endophytic fungus is also a pathogen whose virulence usually manifests with the onset of plant stress. Considering that the infection normally culminates in host death, there is a growing ecologic and socio-economic concern about D. corticola propagation. The molecular mechanisms of infection are hitherto largely unknown. Accordingly, the aim of this study was to unveil potential virulence effectors implicated in D. corticola infection. This knowledge is fundamental to outline the molecular framework that permits the fungal invasion and proliferation in plant hosts, causing disease. Since the effectors deployed are mostly proteins, we adopted a proteomic approach. We performed in planta pathogenicity tests to select two D. corticola strains with distinct virulence degrees for our studies. Like other filamentous fungi D. corticola secretes protein at low concentrations in vitro in the presence of high levels of polysaccharides, two characteristics that hamper the fungal secretome analysis. Therefore, we first compared several methods of extracellular protein extraction to assess their performance and compatibility with 1D and 2D electrophoretic separation. TCA-Acetone and TCA-phenol protein precipitation were the most efficient methods and the former was adopted for further studies. The proteins were extracted and separated by 2D-PAGE, proteins were digested with trypsin and the resulting peptides were further analysed by MS/MS. Their identification was performed by de novo sequencing and/or MASCOT search. We were able to identify 80 extracellular and 162 intracellular proteins, a milestone for the Botryosphaeriaceae family that contains only one member with the proteome characterized. We also performed an extensive comparative 2D gel analysis to highlight the differentially expressed proteins during the host mimicry. Moreover, we compared the protein profiles of the two strains with different degrees of virulence. In short, we characterized for the first time the secretome and proteome of D. corticola. The obtained results contribute to the elucidation of some aspects of the biology of the fungus. The avirulent strain contains an assortment of proteins that facilitate the adaptation to diverse substrates and the identified proteins suggest that the fungus degrades the host tissues through Fenton reactions. On the other hand, the virulent strain seems to have adapted its secretome to the host characteristics. Furthermore, the results indicate that this strain metabolizes aminobutyric acid, a molecule that might be the triggering factor of the transition from a latent to a pathogenic state. Lastly, the secretome includes potential pathogenicity effectors, such as deuterolysin (peptidase M35) and cerato-platanin, proteins that might play an active role in the phytopathogenic lifestyle of the fungus. Overall, our results suggest that D. corticola has a hemibiotrophic lifestyle, switching from a biotrophic to a necrotrophic interaction after plant physiologic disturbances.This understanding is essential for further development of effective plant protection measures.