Single CpG island methylation is not sufficient to maintain the silenced expression of CASPASE-8 apoptosis-related gene among women with epithelial ovarian cancer

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Association among XRCC1, XRCC3, and BLHX gene polymorphisms and chromosome instability in lymphocytes from patients with endometriosis and ovarian cancer

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Periodontopathogens levels and clinical response to periodontal therapy in individuals with the interleukin-4 haplotype associated with susceptibility to chronic periodontitis

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Abdominal ultrasound alterations in dogs with lymphoma

The aim of this study was to evaluate abdominal ultrasound images of dogs diagnosed with lymphoma. Seventy cases of dogs with lymphoma were analyzed. The animals selected were diagnosed with lymphoma which was confirmed by citology or histopathology. The most common sonographic alterations were abdominal lymphadenopathy (57.1%), hepatomegaly (54.2%) and splenomegaly (51.4%). Of the animals that had a cytology done of superficial lymph nodes, 82,8% showed diffuse sonographic changes in the liver, 54.5% had normal sonographic appearance in the spleen and enlargement of the medial iliac lymph nodes. Considering the results, we conclude that canine lymphoma is a complex disease and that it requires several laboratory tests for a correct diagnosis and prognosis.

Modelo experimental de conjuntivite alérgica: efeito do tratamento farmacológico com a proteína anti-inflamatória galectina - 1

Pós-graduação em Genética - IBILCE

Periodontopathogens levels and clinical response to periodontal therapy in individuals with the interleukin-4 haplotype associated with susceptibility to chronic periodontitis

Periodontitis is an inflammatory disease that results from an interaction between dental biofilm agents and the host immune-inflammatory response. Periodontopathogenic organisms, such as Porphyromonas gingivalis, Tannerella forsythia, and Treponema denticola, as well as the host's susceptibility, represented by the host's genetic makeup, are the key factors that influence this complex disease. Recently, we identified haplotypes in the IL4 gene that were associated with chronic periodontitis (CP). This study aimed to evaluate whether subjects with different IL4 haplotypes (TCI/CCI and TTD/CTI) would be differentially colonized by periodontopathogens and whether they would respond differently to non-surgical periodontal therapy. Thirty-nine patients carrying the IL4 haplotype of genetic susceptibility to CP (IL4+) or protection against CP (IL4-) were evaluated. Those groups were further subdivided into individuals with CP (CP IL4+ or CP IL4-) and those that were periodontally healthy (H) (H IL4+ or H IL4-). CP patients were submitted to non-surgical periodontal therapy. Clinical and microbiological analyses were performed considering the data at baseline and 45 and 90 days after periodontal therapy. Periodontopathogens levels were evaluated by absolute quantitative polymerase chain reaction (qPCR). The baseline data revealed that the total levels of periodontopathogens were higher in the CP IL4+ than in the CP IL4- groups. Clinical analyses revealed that the periodontal therapy was equally effective, independent of the subject's IL4 genetic load. The TCI/CCI IL4 haplotype, previously associated with genetic susceptibility to CP, was also associated with increased levels of periodontopathogenic bacteria, but this genetic background did not influence the response to non-surgical periodontal treatment.

Phage display identification of CD100 in human atherosclerotic plaque macrophages and foam cells

Atherosclerosis is a complex disease in which vessels develop plaques comprising dysfunctional endothelium, monocyte derived lipid laden foam cells and activated lymphocytes. Considering that humans and animal models of the disease develop quite distinct plaques, we used human plaques to search for proteins that could be used as markers of human atheromas. Phage display peptide libraries were probed to fresh human carotid plaques, and a bound phage homologous to plexin B1, a high affinity receptor for CD100, was identified. CD100 is a member of the semaphorin family expressed by most hematopoietic cells and particularly by activated T cells. CD100 expression was analyzed in human plaques and normal samples. CD100 mRNA and protein were analyzed in cultured monocytes, macrophages and foam cells. The effects of CD100 in oxLDL-induced foam cell formation and in CD36 mRNA abundance were evaluated. Human atherosclerotic plaques showed strong labeling of CD100/SEMA4D. CD100 expression was further demonstrated in peripheral blood monocytes and in in vitro differentiated macrophages and foam cells, with diminished CD100 transcript along the differentiation of these cells. Incubation of macrophages with CD100 led to a reduction in oxLDL-induced foam cell formation probably through a decrease of CD36 expression, suggesting for the first time an atheroprotective role for CD100 in the human disease. Given its differential expression in the numerous foam cells and macrophages of the plaques and its capacity to decrease oxLDL engulfment by macrophages we propose that CD100 may have a role in atherosclerotic plaque development, and may possibly be employed in targeted treatments of these atheromas.

New approaches to open problems in gene expression microarray data

In the past decade, the advent of efficient genome sequencing tools and high-throughput experimental biotechnology has lead to enormous progress in the life science. Among the most important innovations is the microarray tecnology. It allows to quantify the expression for thousands of genes simultaneously by measurin the hybridization from a tissue of interest to probes on a small glass or plastic slide. The characteristics of these data include a fair amount of random noise, a predictor dimension in the thousand, and a sample noise in the dozens. One of the most exciting areas to which microarray technology has been applied is the challenge of deciphering complex disease such as cancer. In these studies, samples are taken from two or more groups of individuals with heterogeneous phenotypes, pathologies, or clinical outcomes. these samples are hybridized to microarrays in an effort to find a small number of genes which are strongly correlated with the group of individuals. Eventhough today methods to analyse the data are welle developed and close to reach a standard organization (through the effort of preposed International project like Microarray Gene Expression Data -MGED- Society [1]) it is not unfrequant to stumble in a clinician's question that do not have a compelling statistical method that could permit to answer it.The contribution of this dissertation in deciphering disease regards the development of new approaches aiming at handle open problems posed by clinicians in handle specific experimental designs. In Chapter 1 starting from a biological necessary introduction, we revise the microarray tecnologies and all the important steps that involve an experiment from the production of the array, to the quality controls ending with preprocessing steps that will be used into the data analysis in the rest of the dissertation. While in Chapter 2 a critical review of standard analysis methods are provided stressing most of problems that In Chapter 3 is introduced a method to adress the issue of unbalanced design of miacroarray experiments. In microarray experiments, experimental design is a crucial starting-point for obtaining reasonable results. In a two-class problem, an equal or similar number of samples it should be collected between the two classes. However in some cases, e.g. rare pathologies, the approach to be taken is less evident. We propose to address this issue by applying a modified version of SAM [2]. MultiSAM consists in a reiterated application of a SAM analysis, comparing the less populated class (LPC) with 1,000 random samplings of the same size from the more populated class (MPC) A list of the differentially expressed genes is generated for each SAM application. After 1,000 reiterations, each single probe given a "score" ranging from 0 to 1,000 based on its recurrence in the 1,000 lists as differentially expressed. The performance of MultiSAM was compared to the performance of SAM and LIMMA [3] over two simulated data sets via beta and exponential distribution. The results of all three algorithms over low- noise data sets seems acceptable However, on a real unbalanced two-channel data set reagardin Chronic Lymphocitic Leukemia, LIMMA finds no significant probe, SAM finds 23 significantly changed probes but cannot separate the two classes, while MultiSAM finds 122 probes with score >300 and separates the data into two clusters by hierarchical clustering. We also report extra-assay validation in terms of differentially expressed genes Although standard algorithms perform well over low-noise simulated data sets, multi-SAM seems to be the only one able to reveal subtle differences in gene expression profiles on real unbalanced data. In Chapter 4 a method to adress similarities evaluation in a three-class prblem by means of Relevance Vector Machine [4] is described. In fact, looking at microarray data in a prognostic and diagnostic clinical framework, not only differences could have a crucial role. In some cases similarities can give useful and, sometimes even more, important information. The goal, given three classes, could be to establish, with a certain level of confidence, if the third one is similar to the first or the second one. In this work we show that Relevance Vector Machine (RVM) [2] could be a possible solutions to the limitation of standard supervised classification. In fact, RVM offers many advantages compared, for example, with his well-known precursor (Support Vector Machine - SVM [3]). Among these advantages, the estimate of posterior probability of class membership represents a key feature to address the similarity issue. This is a highly important, but often overlooked, option of any practical pattern recognition system. We focused on Tumor-Grade-three-class problem, so we have 67 samples of grade I (G1), 54 samples of grade 3 (G3) and 100 samples of grade 2 (G2). The goal is to find a model able to separate G1 from G3, then evaluate the third class G2 as test-set to obtain the probability for samples of G2 to be member of class G1 or class G3. The analysis showed that breast cancer samples of grade II have a molecular profile more similar to breast cancer samples of grade I. Looking at the literature this result have been guessed, but no measure of significance was gived before.

Trasduzione del segnale inositide-dipendente nel carcinoma della mammella

Breast carcinoma, one of the most frequent malignancies in women, is a complex disease in which a number of different factors combine to drive pathogenesis. The biopathological characterization of these tumors is essential to determine their aggressiveness and to find the most appropriate therapy. As in others neoplasms, the deregulation of signal transduction pathways is frequently responsible for conferring selective biological advantages to the tumor. Phosphoinositides play an essential role in diverse cellular functions, their metabolism is highly active, and is tightly controlled. Among the enzymes implicated in this pathway, phospholipase C beta 1 (PLCβ1) is one of the key regulators, both at the cytoplasmic and the nuclear level. The PLCβ1 gene maps onto the short arm of chromosome 20, a region that has been shown to be altered in several solid tumors, including breast cancer. In the present study a FISH approach was used to investigate the genetic alterations of the PLCβ1 gene in various classes of breast cancer which differ in their invasiveness and proliferation status, according to their mitotic index. The overall aim was to find out whether this enzyme could be a suitable prognostic marker for this neoplasm. Our results show that 83% of cases had aneusomies at the 20p12 level, and the most frequent alteration is a gain in this specific locus. Indeed, we found that this amplification is not related to the invasion status since there were no differences in amplified tumor frequencies between in situ and invasive breast cancer. On the contrary, the gain of PLCβ1 was significantly related to the mitotic index (p = 0.001). To verify if the change in genetic dosage influences the expression of PLCβ1 we performed Real Time PCR and Immunohystochemical analysis. Our results confirmed that amplified tumors have higher levels of PLCβ1 mRNA, which is the sum of the two splicing isoforms 1a and 1b. On the other hand, even if protein levels were higher in the majority of cases compared to the nontumoral specimens, there were no significant associations between gain and overexpression. Finally, the significant association between the amplification of PLCβ1 and others important clinicopathological parameters, such as grading and hormonal receptors status, confirmed a correlation of this enzyme with the aggressiveness of breast cancer. This suggests that PLCβ1 has the potential to be a prognostic marker in these tumors. However, further work needs to be carried out to validate these preliminary findings.

Genetic and environmental factors associated with the risk of cognitive decline and dementia

AD is the most common age related neurodegenerative disease in the industrialized world. Clinically AD is defined as a progressing decline of cognitive functions. Neuropathologically, AD is characterized by the aggregation of b-amyloid (Ab) peptide in the form of extracellular senile plaques, and hyperphosphorlylated tau protein in the form of intracellular neurofibrillary tangles. These neuropathological hallmarks are often accompanied by abundant microvascular damage and pronounced inflammation of the affected brain regions. In this thesis we investigated several aspects of AD focusing on the genetic aspect. We confirmed that Alpha 1 antichymotrypsin (ACT), an acute phase protein, was associated to AD subjects, being plasma levels higher in AD cases than controls. In addition, in a GWA study we demonstrated that two different gene, Clusterin and CR1 were strongly associated to AD. A single gene association not explain such a complex disease like AD. The goal should be to created a network of genetic, phenotypic and clinical data associated to AD. We used a new algorithm, the ANNs, aimed to map variables and search for connectivity among variables. We found specific variables associated to AD like cholesterol levels, the presence of variation in HMGCR enzyme and the age. Other factors such as the BMI, the amount of HDL and blood folate levels were also associated with AD. Pathogen infections, above all viral infections, have been previously associated to AD. The hypothesis suggests that virus and in particular herpes virus could enter the brain when an individual becomes older, perhaps because of a decline in the immune system. Our new hypothesis is that the presence of SNPs in our GWA gene study results in a genetic signature that might affect individual brain susceptibility to infection by herpes virus family during aging.

Analyse immunologischer und proteomischer Aspekte im Rahmen der Glaukompathogenese

Das Glaukom stellt eine heterogene Gruppe von okularen Erkrankungen dar, deren Pathogenese sich durch einen langsamen, progradienten Untergang von retinalen Ganglienzellen und ihren Axonen auszeichnet. rnIn den letzten Jahren wurde im Kontext der Glaukompathogenese verstärkt die Beteiligung autoreaktiver Antikörper diskutiert. Ein Schwerpunkt dieser Arbeit bestand in dem Vergleich solcher Autoantikörper-Reaktionen in den Serum- und Kammerwasserproben einzelner Glaukompatienten. Hierdurch sollte geklärt werden, inwieweit die Immunreaktivitäten dieser beiden Körperflüssigkeiten miteinander übereinstimmen und ob sich Hinweise auf eine lokale Antikörperproduktion im immunprivilegierten Auge finden lassen. Mittels eines etablierten Protein-Microarray-Verfahrens wurden die Immunreaktionen gegen 40 verschiedene Antigene, wie z.B. Hitzeschock-Proteine oder neuronale Strukturproteine, untersucht. Die Ergebnisse zeigten, dass die detektierten Autoantikörper-Reaktionen gegen mehr als 80% der untersuchten Antigene in beiden Körperflüssigkeiten miteinander übereinstimmen. Verdeutlicht wird hierdurch, dass die Antikörper-basierenden immunologischen Vorgänge im Auge bzw. Kammerwasser, trotz dessen Abschottung vom Blutkreislauf durch die Blut-Retina-Schranke, denen des Serums stark ähneln. Nur vereinzelt lassen sich Hinweise auf eine lokale Antikörperproduktion im Auge finden, wodurch die Bedeutung der detektierten Serumantikörper-Reaktionen für die Glaukomerkrankung belegt wird. rnEin weiterer Schwerpunkt der Arbeit lag auf der Detektion möglicher veränderter Proteinexpressionen in den Retinae und Serumproben von Glaukompatienten, die potentiell zu den neurodegenerativen Prozessen der Glaukompathogenese beitragen. Um die Analyse spezifischer Proteinexpressionen zu ermöglichen, wurde das Verfahren des Antikörper-Microarrays etabliert und auf die Fragestellung angewendet. Untersucht wurden hierbei vor allem die Abundanzen von Komplementproteinen, Zytokinen und Hitzeschock-Proteinen, aber auch die von verschiedenen neuronalen Strukturproteinen. Als Probenmaterial dienten Serum- und Retinaproben von Glaukompatienten, die vergleichend denen von gesunden Probanden gegenübergestellt wurden. Die Analyse erbrachte die Erkenntnis, dass neben der verstärkten Expression von Komplementproteinen in der Retina (z.B. C3, C6) auch im Serum der Glaukompatienten eine erhöhte Konzentration dieser Proteine vorliegt, die im Rahmen der Glaukomerkrankung möglicherweise ebenfalls eine Rolle spielen. Ähnliches konnte für verschiedene Zytokine, wie z.B. TNF-α, IFN-γ oder IL1-β beobachtet werden, die in den untersuchten Retinae von Glaukomprobanden, teilweise auch in den Serumproben der Patienten, in verstärktem Maße detektiert werden konnten. Die erhöhte Produktion von Zytokinen in der Retina ist wahrscheinlich auf die Aktivierung von Gliazellen zurückzuführen, ein Ereignis für das in dieser Arbeit zahlreiche Hinweise gefunden werden konnten. Die Gliaaktivierung wird vermutlich durch apoptotische Prozesse in der Retina ausgelöst, eventuell aber auch durch eine erfolgte Komplementaktivierung. Darüber hinaus konnten mittels eines massenspektrometrischen Verfahrens weitere Expressionsunterschiede verschiedener retinaler Proteine bei Glaukompatienten festgestellt werden. Diese Veränderungen, wie z.B. geminderte Mengen von ROS-eliminierenden Proteinen, wie der Superoxid Dismutase und Peroxiredoxin-2, begünstigen bzw. verstärken sehr wahrscheinlich die neurodegenerativen Prozesse in der Retina von GlaukompatientenrnInwieweit die untersuchten Faktoren kausativ an den neurodegenerativen Prozessen beteiligt sind, bleibt ungeklärt, jedoch untermauert deren Vielzahl die Notwendigkeit, die Ursache der Glaukomerkrankung als komplexe Interaktion und Wechselwirkung verschiedener Komponenten zu betrachten und nicht als einen einzelnen fehlgesteuerten Mechanismus.rn

Analysen zur molekularen Charakterisierung von Proteinen des humanen Usher-Syndroms und Evaluation genbasierter Therapiestrategien

Analysen zur molekularen Charakterisierung von Proteinen des humanen Usher-Syndroms und Evaluation genbasierter Therapiestrategien rnDas humane Usher Syndrom (USH) ist die häufigste Form vererbter Taub-Blindheit. In der vorliegenden Dissertation wurde diese komplexe Erkrankung auf verschiedenen Ebenen analysiert: in Arbeiten zur Expression und Lokalisation von USH-Proteinen, der Analyse der USH-Proteinnetzwerke und deren Funktionen sowie darauf aufbauend die Entwicklung von Therapiestrategien für USH.rnIm Rahmen der Arbeit wurde die Expression und (sub)-zelluläre Lokalisation des USH1D-Genproduktes CDH23 in der Retina und Cochlea analysiert. CDH23-Isoformen werden in der Maus zeitlich und räumlich differentiell exprimiert. In den Retinae von Mäusen, nicht humanen Primaten und Menschen zeigten Analysen eine unterschiedliche Expression und Lokalisation des Zell-Zelladhäsionsmoleküls CDH23, was auf Funktions-unterschiede der einzelnen Isoformen in den analysierten Spezies hindeutet.rnAnalysen zur Aufklärung der USH-Proteinnetzwerke ergaben eine potentielle Interaktion des USH1G-Gerüstproteins SANS mit dem Golgi- und Centrosom-assoziierten Protein Myomegalin. Die direkte Interaktion der Proteine konnte durch unabhängige Experimente verifiziert werden. Beide Interaktionspartner sind in den Retinae verschiedener Spezies partiell ko-lokalisiert und partizipieren im periciliären USH-Proteinnetzwerk. Die Assoziation von SANS und Myomegalin mit dem Mikrotubuli-Cytoskelett weist auf eine Funktion des Proteinkomplexes in gerichteten Transportprozessen innerhalb der Photorezeptoren hin und bekräftigt die Hypothese einer Rolle von SANS und assoziierten Netzwerken mit Transportprozessen.rnDas hier gewonnene erweiterte Verständnis der molekularen Grundlagen sowie die Aufklärung der zellulären Funktion der Proteinnetzwerke ermöglichen die Entwicklung therapeutischer Strategien für USH. Ein Fokus der vorliegenden Arbeit lag auf der Entwicklung genbasierter Therapiestrategien und deren Evaluation, wobei der Schwerpunkt auf der Therapiestrategie der Genreparatur lag. Die mit Hilfe von Zinkfinger-Nukleasen (ZFN) induzierte Homologe Rekombination für die Genkorrektur wurde exemplarisch an der 91C>T/p.R31X-Mutation im USH1C-Gen gezeigt. Effiziente ZFN wurden identifiziert, generiert und erfolgreich im Zellkulturmodellsystem eingesetzt. Die Analysen demonstrierten eine Reparatur der Mutation durch Homologe Rekombination auf genomischer Ebene und die Expression des wiederhergestellten Proteins. Durch die Genkorrektur im endogenen Lokus sind Größe des Gens, Isoformen oder die Art der Mutation keine limitierenden Faktoren für die Therapie. Die in der vorliegenden Arbeit durchgeführten Experimente unterstreichen das enorme Potential ZFN-basierter Therapiestrategien hin zu personalisierten Therapieformen nicht nur für USH sondern auch für andere erbliche Erkrankungen, deren genetische Grundlagen bekannt sind.rn

Novel insights into mechanisms of food allergy and allergic airway inflammation using experimental mouse models

Over the last decades, considerable efforts have been undertaken in the development of animal models mimicking the pathogenesis of allergic diseases occurring in humans. The mouse has rapidly emerged as the animal model of choice, due to considerations of handling and costs and, importantly, due to the availability of a large and increasing arsenal of genetically modified mouse strains and molecular tools facilitating the analysis of complex disease models. Here, we review latest developments in allergy research that have arisen from in vivo experimentation in the mouse, with a focus on models of food allergy and allergic asthma, which constitute major health problems with increasing incidence in industrialized countries. We highlight recent novel findings and controversies in the field, most of which were obtained through the use of gene-deficient or germ-free mice, and discuss new potential therapeutic approaches that have emerged from animal studies and that aim at attenuating allergic reactions in human patients.

TRIO LOGIC REGRESSION - DETECTION OF SNP - SNP INTERACTIONS IN CASE-PARENT TRIOS

Statistical approaches to evaluate higher order SNP-SNP and SNP-environment interactions are critical in genetic association studies, as susceptibility to complex disease is likely to be related to the interaction of multiple SNPs and environmental factors. Logic regression (Kooperberg et al., 2001; Ruczinski et al., 2003) is one such approach, where interactions between SNPs and environmental variables are assessed in a regression framework, and interactions become part of the model search space. In this manuscript we extend the logic regression methodology, originally developed for cohort and case-control studies, for studies of trios with affected probands. Trio logic regression accounts for the linkage disequilibrium (LD) structure in the genotype data, and accommodates missing genotypes via haplotype-based imputation. We also derive an efficient algorithm to simulate case-parent trios where genetic risk is determined via epistatic interactions.

The pulmonary artery catheter: in medio virtus

OBJECTIVE: To clarify the role of the pulmonary artery catheter in the intensive care unit. DATA SOURCES: Recent and relevant literature from MEDLINE and authors' personal databases. STUDY SELECTION: Studies on pulmonary artery catheter use and use of other monitoring devices in critically ill patients. DATA EXTRACTION: Based largely on clinical experience and assessment of the relevant published literature and in response to recent articles attacking the pulmonary artery catheter, we propose that the pulmonary artery catheter is still a valuable tool for the hemodynamic monitoring of patients with complex disease processes in whom the information obtained from the pulmonary artery catheter may influence management. We suggest that there is a need to revisit the basics of hemodynamic management and reassess the way in which the pulmonary artery catheter is used, applying three key principles: correct measurement, correct data interpretation, and correct application. CONCLUSION: The pulmonary artery catheter is still a valuable tool for hemodynamic monitoring when used in selected patients and by physicians adequately trained to correctly interpret and apply the data provided.