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.

Genetic association studies under the population stratification, family pedigree and application to genome-wide association studies

This dissertation has three separate parts: the first part deals with the general pedigree association testing incorporating continuous covariates; the second part deals with the association tests under population stratification using the conditional likelihood tests; the third part deals with the genome-wide association studies based on the real rheumatoid arthritis (RA) disease data sets from Genetic Analysis Workshop 16 (GAW16) problem 1. Many statistical tests are developed to test the linkage and association using either case-control status or phenotype covariates for family data structure, separately. Those univariate analyses might not use all the information coming from the family members in practical studies. On the other hand, the human complex disease do not have a clear inheritance pattern, there might exist the gene interactions or act independently. In part I, the new proposed approach MPDT is focused on how to use both the case control information as well as the phenotype covariates. This approach can be applied to detect multiple marker effects. Based on the two existing popular statistics in family studies for case-control and quantitative traits respectively, the new approach could be used in the simple family structure data set as well as general pedigree structure. The combined statistics are calculated using the two statistics; A permutation procedure is applied for assessing the p-value with adjustment from the Bonferroni for the multiple markers. We use simulation studies to evaluate the type I error rates and the powers of the proposed approach. Our results show that the combined test using both case-control information and phenotype covariates not only has the correct type I error rates but also is more powerful than the other existing methods. For multiple marker interactions, our proposed method is also very powerful. Selective genotyping is an economical strategy in detecting and mapping quantitative trait loci in the genetic dissection of complex disease. When the samples arise from different ethnic groups or an admixture population, all the existing selective genotyping methods may result in spurious association due to different ancestry distributions. The problem can be more serious when the sample size is large, a general requirement to obtain sufficient power to detect modest genetic effects for most complex traits. In part II, I describe a useful strategy in selective genotyping while population stratification is present. Our procedure used a principal component based approach to eliminate any effect of population stratification. The paper evaluates the performance of our procedure using both simulated data from an early study data sets and also the HapMap data sets in a variety of population admixture models generated from empirical data. There are one binary trait and two continuous traits in the rheumatoid arthritis dataset of Problem 1 in the Genetic Analysis Workshop 16 (GAW16): RA status, AntiCCP and IgM. To allow multiple traits, we suggest a set of SNP-level F statistics by the concept of multiple-correlation to measure the genetic association between multiple trait values and SNP-specific genotypic scores and obtain their null distributions. Hereby, we perform 6 genome-wide association analyses using the novel one- and two-stage approaches which are based on single, double and triple traits. Incorporating all these 6 analyses, we successfully validate the SNPs which have been identified to be responsible for rheumatoid arthritis in the literature and detect more disease susceptibility SNPs for follow-up studies in the future. Except for chromosome 13 and 18, each of the others is found to harbour susceptible genetic regions for rheumatoid arthritis or related diseases, i.e., lupus erythematosus. This topic is discussed in part III.

Cell death in immune thrombocytopenia: novel insights and perspectives

Immune thrombocytopenia (ITP) is a complex disease. The pathogenic and clinical heterogeneity of ITP is reflected by reports on variability in patient history and treatment response, in concert with recent evidence from mechanistic studies. Programmed cell death (PCD) pathways are thought to play a peculiar role in the megakaryocyte lineage in terms of hemostasis and the generation and function of megakaryocytes and platelets; unbalanced genetic or environmental disturbances of these tightly regulated pathways may cause thrombocytopenia. Dysregulated PCD has also been linked to peripheral platelet destruction, intramedullary apoptosis, and inefficient thrombopoiesis in ITP. In this article, we discuss novel and controversial findings on the role of PCD in the megakaryocyte lineage and their potential implications in terms of pathogenesis, diagnosis, and treatment of ITP.

Analysis of Variation in Clubfoot Candidate Genes

Isolated clubfoot, a common birth defect occurring in more than 135,000 livebirths worldwide each year, is associated with significant health care and financial burdens. Clubfoot is defined by forefoot adduction, hindfoot varus, midfoot cavus and hindfoot equinus. Isolated clubfoot, which is the focus of these studies, is distinct from syndromic clubfoot because there are no other associated malformations. Population, family, twin and segregation analysis studies provide evidence that genetic and environmental factors play an etiologic role in isolated clubfoot. The studies described in this thesis were performed to define the role of genetic variation in isolated clubfoot. Interrogation of a deletion region associated with syndromic clubfoot, suggested that CASP8 and CASP10, two apoptotic genes, play a role in isolated clubfoot. To explore the role of apoptotic genes in clubfoot, SNPs spanning genes involved in the apoptotic pathway in the six chromosomal deletion regions, and limb patterning genes, HOXD and HOXA, were interrogated. SNPs in mitochondrial mediated apoptotic genes and several SNPs in HOXA and HOXD genes were modestly associated with clubfoot with the most significant SNP, rs3801776, located in the basal promoter of HOXA9. Several significant associations were found with SNPs in NFAT2 and TNIP2. Significant gene interactions were detected between SNPs in HOX and apoptotic genes. These findings suggest a model for clubfoot in which variation in one gene is not sufficient to cause the malformation but requires variation several genes to perturb protein expression sufficiently to alter muscle and foot development. These results significantly impact our knowledge base by delineating underlying mechanisms causing clubfoot.

Concept, design and implementation of a cardiovascular gene-centric 50 k SNP array for large-scale genomic association studies.

A wealth of genetic associations for cardiovascular and metabolic phenotypes in humans has been accumulating over the last decade, in particular a large number of loci derived from recent genome wide association studies (GWAS). True complex disease-associated loci often exert modest effects, so their delineation currently requires integration of diverse phenotypic data from large studies to ensure robust meta-analyses. We have designed a gene-centric 50 K single nucleotide polymorphism (SNP) array to assess potentially relevant loci across a range of cardiovascular, metabolic and inflammatory syndromes. The array utilizes a "cosmopolitan" tagging approach to capture the genetic diversity across approximately 2,000 loci in populations represented in the HapMap and SeattleSNPs projects. The array content is informed by GWAS of vascular and inflammatory disease, expression quantitative trait loci implicated in atherosclerosis, pathway based approaches and comprehensive literature searching. The custom flexibility of the array platform facilitated interrogation of loci at differing stringencies, according to a gene prioritization strategy that allows saturation of high priority loci with a greater density of markers than the existing GWAS tools, particularly in African HapMap samples. We also demonstrate that the IBC array can be used to complement GWAS, increasing coverage in high priority CVD-related loci across all major HapMap populations. DNA from over 200,000 extensively phenotyped individuals will be genotyped with this array with a significant portion of the generated data being released into the academic domain facilitating in silico replication attempts, analyses of rare variants and cross-cohort meta-analyses in diverse populations. These datasets will also facilitate more robust secondary analyses, such as explorations with alternative genetic models, epistasis and gene-environment interactions.

MODELING SPORADIC TUMOR FORMATION DRIVEN BY TELOMERE DYSFUNCTION IN THE GASTROINTESTINAL TRACT

Colorectal cancer is a complex disease that is thought to arise when cells accumulate mutations that allow for uncontrolled growth. There are several recognized mechanisms for generating such mutations in sporadic colon cancer; one of which is chromosomal instability (CIN). One hypothesized driver of CIN in cancer is the improper repair of dysfunctional telomeres. Telomeres comprise the linear ends of chromosomes and play a dual role in cancer. Its length is maintained by the ribonucleoprotein, telomerase, which is not a normally expressed in somatic cells and as cells divide, telomeres continuously shorten. Critically shortened telomeres are considered dysfunctional as they are recognized as sites of DNA damage and cells respond by entering into replicative senescence or apoptosis, a process that is p53-dependent and the mechanism for telomere-induced tumor suppression. Loss of this checkpoint and improper repair of dysfunctional telomeres can initiate a cycle of fusion, bridge and breakage that can lead to chromosomal changes and genomic instability, a process that can lead to transformation of normal cells to cancer cells. Mouse models of telomere dysfunction are currently based on knocking out the telomerase protein or RNA component; however, the naturally long telomeres of mice require multiple generational crosses of telomerase null mice to achieve critically short telomeres. Shelterin is a complex of six core proteins that bind to telomeres specifically. Pot1a is a highly conserved member of this complex that specifically binds to the telomeric single-stranded 3’ G-rich overhang. Previous work in our lab has shown that Pot1a is essential for chromosomal end protection as deletion of Pot1a in murine embryonic fibroblasts (MEFs) leads to open telomere ends that initiate a DNA damage response mediated by ATR, resulting in p53-dependent cellular senescence. Loss of Pot1a in the background of p53 deficiency results in increased aberrant homologous recombination at telomeres and elevated genomic instability, which allows Pot1a-/-, p53-/- MEFs to form tumors when injected into SCID mice. These phenotypes are similar to those seen in cells with critically shortened telomeres. In this work, we created a mouse model of telomere ysfunction in the gastrointestinal tract through the conditional deletion of Pot1a that recapitulates the microscopic features seen in severe telomere attrition. Combined intestinal loss of Pot1a and p53 lead to formation of invasive adenocarcinomas in the small and large intestines. The tumors formed with long latency, low multiplicity and had complex genomes due to chromosomal instability, features similar to those seen in sporadic human colorectal cancers. Taken together, we have developed a novel mouse model of intestinal tumorigenesis based on genomic instability driven by telomere dysfunction.

Non-coronary atherosclerosis

During the last decades, the clinical and research interest in atherosclerosis has been mostly focused on coronary arteries. After the publications of the European Society Guidelines and AHA/ACC Guidelines on Peripheral artery diseases, and of the Registry REduction in Atherothrombosis for Continued Health Registry, there has been an increased interest in atherosclerosis of the lower extremity arteries and its presence in multifocal disease. However, awareness in the general population and the medical community of non-coronary artery diseases, and of its major prognostic implications remain relatively low. The aim of this general review stemming out of an ESC Working Group on Peripheral Circulation meeting in 2011 is to enhance awareness of this complex disease highlighting the importance of the involvement of atherosclerosis at different levels with respect to clinical presentation, diagnosis, and co-existence of the disease in the distinct arterial territories. We also emphasize the need of an interdisciplinary approach to face the broad and complex spectrum of multifocal disease, and try to propose a series of tentative recommendations and measures to be implemented in non-coronary atherosclerosis.

Evaluation of candidate genes for susceptibility to spina bifida

Neural tube defects (NTDs) are the most common severely disabling birth defects in the United States, with a frequency of approximately 1–2 of every 1,000 births. This text includes the identification and evaluation of candidate susceptibility genes that confer risk for the development of neural tube defects (NTDs). The project focused on isolated meningomyelocele, also termed spina bifida (SB). ^ Spina bifida is a complex disease with multifactorial inheritance, therefore the subject population (consisting of North American Caucasians and Hispanics of Mexicali-American descent) was composed of 459 simplex SB families who were tested for genetic associations utilizing the transmission disequilibrium test (TDT), a nonparametric linkage technique. Three categories of candidate genes were studied, including (1) human equivalents of genes determined in mouse models to cause NTDs, (2) HOX and PAX genes, and (3) the MTHFR gene involved in the metabolic pathway of folate. ^ The C677T variant of the 5,10-methylenetetrahydrofolate reductase (MTHFR) gene was the first mutation in this gene to be implicated as a risk factor for NTDs. Our evaluation of the MTHFR gene provides evidence that maternal C677T homozygosity is a risk factor for upper level spina bifida defects in Hispanics [OR = 2.3, P = 0.02]. This observed risk factor is of great importance due to the high prevalence of this homozygous genotype in the Hispanic population. Additionally, maternal C677T/A1298C compound heterozygosity is a risk factor for upper level spina bifida defects in non-Hispanic whites [OR = 3.6, P = 0.03]. ^ For TDT analysis, our total population of 1128 subjects were genotyped for 54 markers from within and/or flanking the 20 candidate genes/gene regions of interest. Significant TDT findings were obtained for 3 of the 54 analyzed markers: d20s101 flanking the PAX1 gene (P = 0.019), d1s228 within the PAX7 gene (P = 0.011), and d2s110 within the PAX8 gene (P = 0.013). These results were followed-up by testing the genes directly for mutations utilizing single-strand conformational analysis (SSCA) and direct sequencing. Multiple variations were detected in each of these PAX genes; however, these variations were not passed from parent to child in phase with the positively transmitted alleles. Therefore, these variations do not contribute to the susceptibility of spina bifida, but rather are previously unreported single nucleotide polymorphisms. ^