839 resultados para next generation sequencing


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L’hypercholestérolémie familiale (FH) est un désordre lipidique associé aux maladies cardiovasculaires les plus fréquentes. La FH est causée par des mutations dans les gènes LDLR, APOB et PCSK9. Toutefois, chez 20% des patients souffrant de FH, aucune mutation dans ces gènes n'a été détectée et ceci suggère que d’autres gènes seraient à l’origine de la FH. Actuellement, le seul traitement de la FH est une thérapie aux statines. En général les statines sont bien tolérées, cependant, une monothérapie ne permet pas d’atteindre des niveaux thérapeutiques acceptables et dans bien des cas, une thérapie combinée devient nécessaire. De plus, l’intolérance aux statines est présente dans environ 12% des patients. Dans les trois dernières décennies, la survie des patients avec la FH a augmentée de façon notoire mais on observe aussi l’apparition d’une calcification vasculaire sévère chez certains d’entre eux. Il est donc primordial de développer des nouvelles approches thérapeutiques afin de prévenir ces complications tardives. Dans cette thèse doctorat, nous présentons l’étude d’une famille avec un phénotype de FH sévère non causé par des mutations dans les gènes LDLR, APOB et PCSK9. Par des études biochimiques et par séquençage d’ADN utilisant les technologies de nouvelle génération (NextGenSeq), nous avons découvert une mutation dans le gène de l’APOE (Leu167del). Ceci nous permet de proposer le gène codant pour l’APOE comme le 4e locus responsable de la FH (FH4). Par la suite, nous avons effectué deux études de cohortes chez les patients atteints de FH. Premièrement, dans l’étude JUPITER, nous avons démontré que la rosuvastatin augmente les niveaux sanguins de la protéine PCSK9 et ceci limiterait l’efficacité du traitement aux statines. Nous avons aussi étudié l’influence du mutant naturel R46L (perte de fonction de la PCSK9) dans la réponse aux statines. Deuxièmement, nous avons examiné les effets de la perte de fonction de la PCSK9 sur le profil cardiométabolique au sein d’une population pédiatrique. Nous avons déterminé que le génotype de l’APOE est déterminant dans ce profil cardiométabolique. Enfin, nous avons étudié la calcification vasculaire chez les patients atteints de FH. Cette calcification vasculaire progresse de façon indépendante des niveaux de cholestérol sérique et n’est pas associée aux anomalies de l’homéostasie du calcium. En utilisant des modèles murins, nous avons démontré que les souris Ldlr-/- et Tg(Pcsk9) développent des calcifications vasculaires semblables à celles observées chez l’homme. De plus, nous avons confirmé l’implication de la voie de signalisation LRP5/Wnt dans la pathophysiologie de la calcification artérielle. Avec une étude interventionnelle, nous avons trouvé que l’inhibition de l’interleukine 1β (IL-1β) diminue fortement l’apparition de calcifications vasculaire dans notre modèle murin. En conclusion, nos études ont permis l’identification d’un nouveau gène impliqué dans la FH, ont démontré aussi que les statines augmentent les niveaux sériques de PCSK9 et que la perte de fonction de la PCSK9 altère le profil cardiométabolique. Enfin, nous avons établi que la calcification vasculaire représente une complication tardive chez les patients atteints de FH et que, dans notre modèle murin, la calcification vasculaire peut être retardée par l’inhibition d’IL-1β. Ces découvertes peuvent avoir d’importantes répercussions cliniques chez l’humain.

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Le syndrome du QT long congénital (LQTS) est une canalopathie génétique, à l’origine de syncopes et mort subite. Le dépistage génétique identifie des variantes génétiques dans 50-70% des cas, suggérant l’implication d’autres gènes. Nous avons recueilli les caractéristiques des patients avec un LQTS à l’ICM, et recruté 12 patients avec un génotype négatif pour le LQTS pour un séquençage à haut débit des exons afin d’identifier de nouvelles variantes causales. Nous avons développé une approche analytique par étapes : (1) les gènes connus du, (2) les gènes dans des loci identifiés par des études d’association sur le QT, et (3) les gènes montrant la même variante chez plusieurs patients. L’analyse génétique a identifié de nouvelles variantes dans: (1) KCNJ2, ANK2 et AKAP9, et (2) dans NOS1AP. (3) Deux patientes avec des phénotypes semblables présentent la même variante homozygote dans TECRL, un nouveau gène candidat dont le rôle est inconnu.

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La prévalence des allergies alimentaires IgE-médiées aurait triplé au cours de la dernière décennie avec des études Nord-Américaines atteignant les 8% chez les enfants. Quoiqu’il n’y ait à ce jour aucun traitement curatif pour les allergies alimentaires, l’immunothérapie oral (OIT) constitue une nouvelle approche expérimentale prometteuse. Cette dernière consiste en l’administration de doses progressive d’allergènes par voie orale sur une période prolongée dans le but d’instaurer un état de désensibilisation et possiblement une tolérance orale soutenue. Cette approche a été démontrée sécuritaire et permettrait la désensibilisation à haute dose de plus de 80% des participants allergiques aux arachides, lait ou œufs. Dans cette thèse, nous présentons 2 études de phase 1 portant sur des protocoles d’OIT, destinés à optimiser l’efficience du traitement chez les sujets avec allergies alimentaires multiples. Près de 30% des enfants avec allergie alimentaire sont allergiques à plus d’un aliment, une proportion qui augmente à 70% lorsqu’on considère les cas les plus sévères. Ces enfants sont à risque augmenté de réactions accidentelles et souffrent d’un impact plus grand sur leur qualité de vie. Dans la première étude, en créant un mélange individualisé avec un ratio stochiométrique 1:1 entre les protéines des aliments allergiques de l’enfant, nous démontrons qu’il est possible de désensibiliser jusqu’à 5 aliments simultanément avec un profil d’innocuité similaire à une monothérapie. Dans la seconde étude, nous utilisons un traitement à l’omalizumab, un anticorps monoclonal anti-IgE, pour permettre une désensibilisation orale multi-allergénique fortement accélérée. Lorsque comparé à l’approche sans omalizumab, ce protocole s’associe à une nette diminution du temps requis pour atteindre les doses d’entretien, passant d’une médiane de 21 à 4 mois, sans affecter le profil d’innocuité. Alors que ces études fournissent des approches cliniques raisonnables pour désensibiliser la population multi-allergique, plusieurs questions persistent, notamment en ce qui a trait à l’induction de tolérance permanente. Une barrière majeure à cet égard réside dans notre piètre compréhension des mécanismes sous-jacents à l’immunothérapie. Prenant avantage d’échantillons cliniques bien caractérisés provenant des essais cliniques ci-haut mentionnés, nous utilisons les nouvelles technologies de séquençage TCR pour suivre la distribution clonale des lymphocytes T spécifiques aux arachides durant une immunothérapie orale. Nous démontrons que l’OIT s’associe à des changements significatifs dans les fréquences des clones spécifiques, suggérant un processus d’épuisement clonal et de remplacement. Nous démontrons par ailleurs que le test de prolifération lymphocytaire, traditionnellement utilisé pour évaluer la réponse cellulaire allergique, est dominé par une distribution polyclonale hautement non-spécifique. Cette observation a des implications majeures considérant que la plupart de la littérature actuelle sur la réponse T se base sur cette technique. En somme, cette thèse jette les bases pour des programmes de recherche translationnelle pour optimiser et personnaliser les protocoles cliniques actuels et développer de nouvelles avenues d’investigation et de traitement pour améliorer la prise en charge des sujets avec allergies alimentaires.

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Expression of biologically active molecules as fusion proteins with antibody Fc can substantially extend the plasma half-life of the active agent but may also influence function. We have previously generated a number of fusion proteins comprising a complement regulator coupled to Fc and shown that the hybrid molecule has a long plasma half-life and retains biological activity. However, several of the fusion proteins generated had substantially reduced biological activity when compared with the native regulator or regulator released from the Fc following papain cleavage. We have taken advantage of this finding to engineer a prodrug with low complement regulatory activity that is cleaved at sites of inflammation to release active regulator. Two model prodrugs, comprising, respectively, the four short consensus repeats of human decay accelerating factor (CD55) linked to IgG4 Fc and the three NH2-terminal short consensus repeats of human decay accelerating factor linked to IgG2 Fc have been developed. In each, specific cleavage sites for matrix metalloproteinases and/or aggrecanases have been incorporated between the complement regulator and the Fc. These prodrugs have markedly decreased complement inhibitory activity when compared with the parent regulator in vitro. Exposure of the prodrugs to the relevant enzymes, either purified, or in supernatants of cytokine-stimulated chondrocytes or in synovial fluid, efficiently cleaved the prodrug, releasing active regulator. Such agents, having negligible systemic effects but active at sites of inflammation, represent a paradigm for the next generation of anti-C therapeutics.

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The impending threat of global climate change and its regional manifestations is among the most important and urgent problems facing humanity. Society needs accurate and reliable estimates of changes in the probability of regional weather variations to develop science-based adaptation and mitigation strategies. Recent advances in weather prediction and in our understanding and ability to model the climate system suggest that it is both necessary and possible to revolutionize climate prediction to meet these societal needs. However, the scientific workforce and the computational capability required to bring about such a revolution is not available in any single nation. Motivated by the success of internationally funded infrastructure in other areas of science, this paper argues that, because of the complexity of the climate system, and because the regional manifestations of climate change are mainly through changes in the statistics of regional weather variations, the scientific and computational requirements to predict its behavior reliably are so enormous that the nations of the world should create a small number of multinational high-performance computing facilities dedicated to the grand challenges of developing the capabilities to predict climate variability and change on both global and regional scales over the coming decades. Such facilities will play a key role in the development of next-generation climate models, build global capacity in climate research, nurture a highly trained workforce, and engage the global user community, policy-makers, and stakeholders. We recommend the creation of a small number of multinational facilities with computer capability at each facility of about 20 peta-flops in the near term, about 200 petaflops within five years, and 1 exaflop by the end of the next decade. Each facility should have sufficient scientific workforce to develop and maintain the software and data analysis infrastructure. Such facilities will enable questions of what resolution, both horizontal and vertical, in atmospheric and ocean models, is necessary for more confident predictions at the regional and local level. Current limitations in computing power have placed severe limitations on such an investigation, which is now badly needed. These facilities will also provide the world's scientists with the computational laboratories for fundamental research on weather–climate interactions using 1-km resolution models and on atmospheric, terrestrial, cryospheric, and oceanic processes at even finer scales. Each facility should have enabling infrastructure including hardware, software, and data analysis support, and scientific capacity to interact with the national centers and other visitors. This will accelerate our understanding of how the climate system works and how to model it. It will ultimately enable the climate community to provide society with climate predictions, which are based on our best knowledge of science and the most advanced technology.

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Human ICT implants, such as RFID implants, cochlear implants, cardiac pacemakers, Deep Brain Stimulation, bionic limbs connected to the nervous system, and networked cognitive prostheses, are becoming increasingly complex. With ever-growing data processing functionalities in these implants, privacy and security become vital concerns. Electronic attacks on human ICT implants can cause significant harm, both to implant subjects and to their environment. This paper explores the vulnerabilities which human implants pose to crime victimisation in light of recent technological developments, and analyses how the law can deal with emerging challenges of what may well become the next generation of cybercrime: attacks targeted at technology implanted in the human body. After a state-of-the-art description of relevant types of human implants and a discussion how these implants challenge existing perceptions of the human body, we describe how various modes of attacks, such as sniffing, hacking, data interference, and denial of service, can be committed against implants. Subsequently, we analyse how these attacks can be assessed under current substantive and procedural criminal law, drawing on examples from UK and Dutch law. The possibilities and limitations of cybercrime provisions (eg, unlawful access, system interference) and bodily integrity provisions (eg, battery, assault, causing bodily harm) to deal with human-implant attacks are analysed. Based on this assessment, the paper concludes that attacks on human implants are not only a new generation in the evolution of cybercrime, but also raise fundamental questions on how criminal law conceives of attacks. Traditional distinctions between physical and non-physical modes of attack, between human bodies and things, between exterior and interior of the body need to be re-interpreted in light of developments in human implants. As the human body and technology become increasingly intertwined, cybercrime legislation and body-integrity crime legislation will also become intertwined, posing a new puzzle that legislators and practitioners will sooner or later have to solve.

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Interventions to support students with reading difficulties have existed for over 70 years. This paper rehearses the need for interventions to be grounded in theory and empirical evidence about reading processes. The suggestion that the next generation of interventions should go beyond simple context-independent small unit phonics teaching to cover context-dependent larger phonological units is evaluated. Examples of contemporary interventions that involve large units, and morphology are presented. Current interventions reported target students with literacy difficulties regardless of a diagnosis of dyslexia.

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As plataformas de sequenciamento de nova geração são uma alternativa poderosa para estudos de genômica estrutural e funcional. Na genômica de plantas, os trabalhos com as novas plataformas têm sido destinados ao sequenciamento de transcritos, ressequenciamento ou sequenciamento de novo de genomas plastidiais. Neste trabalho, são detalhadas as tecnologias das plataformas mais utilizadas atualmente, bem como é revisada a aplicação dessas tecnologias na genômica estrutural e funcional de plantas.

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Os sequenciadores de nova geração como as plataformas Illumina e SOLiD geram uma grande quantidade de dados, comumente, acima de 10 Gigabytes de arquivos-texto. Particularmente, a plataforma SOLiD permite o sequenciamento de múltiplas amostras em uma única corrida (denominada de corrida multiplex) por meio de um sistema de marcação chamado Barcode. Esta funcionalidade requer um processo computacional para separação dos dados por amostra, pois, o sequenciador fornece a mistura de todas amostras em uma única saída. Este processo deve ser seguro a fim de evitar eventuais embaralhamentos que possam prejudicar as análises posteriores. Neste contexto, o presente trabalho propõe desenvolvimento de um modelo probabilístico capaz de caracterizar sistema de marcação utilizado em sequenciamentos multiplex. Os resultados obtidos corroboraram a suficiência do modelo obtido, o qual permite, dentre outras coisas, identificar faltas em algum passo do processo de sequenciamento; adaptar e desenvolver de novos protocolos para preparação de amostras, além de atribuir um Grau de Confiança aos dados gerados e guiar um processo de filtragem que respeite as características de cada sequenciamento, não descartando sequências úteis de forma arbitrária.

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Background: The intestinal microbiome (IM) has extensively been studied in the search for a link of bacteria with the cause of Crohn`s disease (CD). The association might result from the action of a specific pathogen and/or an eventual imbalance in bacterial species composition of the gut. The innumerous virulence associated markers and strategies described for adherent and invasive Escherichia coli (AIEC) have made them putative candidate pathogens for CD. IM of CD patients shows dysbiosis, manifested by the proliferation of bacterial groups such as Enterobacteriaceae and reduction of others such as Lactobacillus and Bifidobacterium. The augmented bacterial population comprising of commensal and/or pathogenic organisms super stimulates the immune system, triggering the inflammatory reactions responsible for the clinical manifestations of the disease. Considering the role played by IM in CD and the multiple variables influencing its species composition, resulting in differences among populations, the objective of this study was to determine the bacterial biodiversity in the mucosa associated microbiome of CD patients from a population not previously subject to this analysis, living in the middle west region of Sao Paulo state. Methods: A total of 4 CD patients and 5 controls subjects attending the Botucatu Medical School of the Sao Paulo State University (UNESP) for routine colonoscopy and who signed an informed consent were included in the study. A number of 2 biopsies, one from the ileum and other from any part of the terminal colon, were taken from each subject and immediately frozen at -70[degrees]C until DNA purification. The bacterial biodiversity was assessed by next generation (ion torrent) sequencing of PCR amplicons of the ribosomal DNA 16S V6 region (16S V6 rDNA). The bacterial identification was performed at the genus level, by alignment of the generated DNA sequences with those available at the ribosomal database project (RDP) website. Results: The overall DNA sequence output was based on an average number of 526,427 reads per run, matching 50 bacterial genus 16SrDNA sequences available at the RDB website, and 22 non matching sequences. Over 95% of the sequences corresponded to taxa belonging to the major phyla: Firmicutes, Bacterioidetes, Proteobacteria and Actinobacteria. Irrespective of the intestinal site analyzed, no case-control differences could be observed in the prevalence of Actinobacteria and Firmicutes. The prevalence of Proteobacteria was higher (40%) in the biopsies of control subjects as compared to that of DC patients (16%). For Bacterioidetes, the higher prevalence was observed among DC patients (33% as opposed to 14,5% in controls). The significance for all comparisons considered a p value < 0,05 in a Chi2 test. No mucosal site specific differences could be observed in IM comparisons of CD and control subjects. Conclusions: The rise in the number of Bacterioidetes observed here among CD patients seems to be in agreement with most of studies published thus far. Yet, the reduction in the number of Proteobacteria along with an apparently unaltered population of Actinobacteria and Firmicutes, which include the so called "beneficial" organisms Bifidobacterium and Lactobacillus were rather surprising. These data suggest that the analyses on the role of IM in CD should consider the multiple variables that may influence its species composition.

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Today, third generation networks are consolidated realities, and user expectations on new applications and services are becoming higher and higher. Therefore, new systems and technologies are necessary to move towards the market needs and the user requirements. This has driven the development of fourth generation networks. ”Wireless network for the fourth generation” is the expression used to describe the next step in wireless communications. There is no formal definition for what these fourth generation networks are; however, we can say that the next generation networks will be based on the coexistence of heterogeneous networks, on the integration with the existing radio access network (e.g. GPRS, UMTS, WIFI, ...) and, in particular, on new emerging architectures that are obtaining more and more relevance, as Wireless Ad Hoc and Sensor Networks (WASN). Thanks to their characteristics, fourth generation wireless systems will be able to offer custom-made solutions and applications personalized according to the user requirements; they will offer all types of services at an affordable cost, and solutions characterized by flexibility, scalability and reconfigurability. This PhD’s work has been focused on WASNs, autoconfiguring networks which are not based on a fixed infrastructure, but are characterized by being infrastructure less, where devices have to automatically generate the network in the initial phase, and maintain it through reconfiguration procedures (if nodes’ mobility, or energy drain, etc..., cause disconnections). The main part of the PhD activity has been focused on an analytical study on connectivity models for wireless ad hoc and sensor networks, nevertheless a small part of my work was experimental. Anyway, both the theoretical and experimental activities have had a common aim, related to the performance evaluation of WASNs. Concerning the theoretical analysis, the objective of the connectivity studies has been the evaluation of models for the interference estimation. This is due to the fact that interference is the most important performance degradation cause in WASNs. As a consequence, is very important to find an accurate model that allows its investigation, and I’ve tried to obtain a model the most realistic and general as possible, in particular for the evaluation of the interference coming from bounded interfering areas (i.e. a WiFi hot spot, a wireless covered research laboratory, ...). On the other hand, the experimental activity has led to Throughput and Packet Error Rare measurements on a real IEEE802.15.4 Wireless Sensor Network.

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In order to support the conservation of the Mediterranean octocorals improvements on information regarding their taxonomic units and phylogenetic relationships are strongly needed. In the present thesis work, phylogenetic analyses based on the mitochondrial mtMSH and 16S genes were performed including 15 Mediterranean octocorals species on the 56 recognized to date. Moreover, an extended datasets with Atlanto/Pacific congeners Octocorallia species was implemented to clarify their phylogenetic relationships and estimate the divergence times of the Mediterranean species. Results indicated that: 1) there are similarity and differences among molecular and morphological traits depending on the taxonomical level considered; 2) the molecular phylogeny of the Mediterranean octocorals retrace the previous relationships based on wide octocorals analyses; and 3) the divergence time among Mediterranean and Atlanto/Pacific species varies depending on analysed taxa. At higher taxonomic level, the Mediterranean trees supported the division of the Mediterranean Octocorallia into one major clade (Alcyoniina-Holaxonia) plus two unresolved branch including the single species available of Scleraxonia and Stolonifera respectively. This topology was better supported including the Atlanto/Pacific congeners species. The molecular evidence suggested that Alcyonium palmatum and Corallium rubrum species are the youngest with a divergence time estimated around 4 MYA. Particularly, C. rubrum results were in agreement with the hypothesis that recent orogenesis process of the Mediterranean Sea promoted the allopatric speciation of this specie. Increasing the sample design and implementing the emerging next-generation genomic-sequencing technologies, further studies would be able to improve the understanding of the Mediterranean octocorals phylogenetic relationships and evolution.

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Eine der Hauptursachen für unerwünschte oder reduzierte Wirkungen von Medikamenten ist die Induktion von Enzymen und Transportern des Medikamentenstoffwechsels. Diese Induktion stellt ursprünglich eine physiologische Reaktion auf die Aufnahme von potentiell schädlichen Fremdstoffen aus der Umwelt dar und sichert so die Gesundheit und Fortpflanzungsfähigkeit von Lebewesen. Beim Menschen sowie anderen Säugetieren werden Fremdstoffe hauptsächlich von den nukleären Rezeptoren PXR und CAR in der Leber und im Dünndarm detektiert. Zu den Medikamenten, welche über PXR und CAR wirken, gehören unter anderem Antikonvulsiva, Statine, antiretrovirale Medikamente, Glucocorticoide sowie Antimykotika. Die durch Fremdstoffe aktivierten Transkriptionsfaktoren PXR und CAR steigern die Menge der Enzyme und Transporter des Fremdstoffmetabolismus. Hierzu zählen vor allem die Cytochrom P450-Enzyme (Cyp-Enzyme) mit breitem Substratspektrum oder der Transporter MDR1, welcher eine Vielzahl von Substraten über Membranen transportiert. Durch die Biotransformation werden die induzierenden, lipophilen Substanzen so modifiziert, dass sie leichter über den Urin oder die Galle ausgeschieden werden können. \r\nDie Dauer der Induktion sollte auf die Zeit der Fremdstoffexposition beschränkt sein, um Störungen des endogenen Stoffwechsels zu vermindern. In dieser Arbeit werden jedoch Hinweise auf dauerhafte und sogar generationsübergreifende Effekte von Medikamenten in Mäusen geliefert. Nachkommen von Müttern, welche bereits vor ihrer Verpaarung einmalig mit TCPOBOP, einem Liganden des murinen CAR, injiziert wurden, hatten eine ungefähr 100-fach gesteigerte Genexpression von Cyp2b10. Auch gab es Expressionsänderungen von Genen, deren Produkte eine Rolle im Lipidstoffwechsel sowie bei Immunkrankheiten spielen. Eine Hochdurchsatz-RNA-Sequenzierung der injizierten Elterngeneration ergab außerdem dauerhafte Expressionsveränderungen anderer Gene des Medikamentenstoffwechsels sowie von Genen mit Verbindung zum Energiemetabolismus. \r\nBerücksichtigt man die enge evolutionäre Verwandtschaft der nukleären Rezeptoren CAR und PXR, sind Langzeitveränderungen auch für PXR möglich und wurden im Verlauf dieser Arbeit ebenfalls untersucht. Eine Hochdurchsatz-Sequenzierung ergab für Mäuse, welche mit dem PXR-Aktivator PCN induziert wurden, dass selbst noch drei Monate nach der Exposition Gene verändert exprimiert waren, welche im Zusammenhang mit Lebernekrosen stehen. Bei Nachkommen von PCN-injizierten Müttern wurden Gene unterschiedlich exprimiert, welche eine Rolle bei der Energiehomöostase sowie im Glukosestoffwechsel spielen. Im Erwachsenenalter sind bei diesen Nachkommen darüber hinaus noch Gene unterschiedlich exprimiert, deren Produkte eine Funktion in der Immunantwort haben. \r\nDa Erwachsene aufgrund ihrer Lebensdauer sowie der absoluten Krankheitshäufigkeit wesentlich öfter Kontakt mit Fremdstoffen haben, war medizinisch von besonderem Interesse, ob anhaltende Genexpressionsänderungen auch bei Erwachsenen zu beobachten sind. So konnte im Rahmen dieser Arbeit gezeigt werden, dass auch einmalig exponierte Adulttiere Gene dauerhaft verändert exprimieren und die Veränderungen im Medikamentenstoffwechsel an die nächste Generation übertrugen. \r\n\r\nBisher sind klinische Studien zur Risikobewertung von Medikamenten (Pharmakovigilanz) nicht generationsübergreifend angelegt. Diese Arbeit gibt Anstöße dafür, dass dies in Zukunft für viel mehr Medikamente notwendig werden könnte. Neben Veränderungen im Medikamentenstoffwechsel ergeben sich Nebenwirkungen von PXR- und CAR-Liganden vor allem aus ihrer Beteiligung an endogenen Stoffwechselwegen. Nach Aktivierung von CAR, welcher viele metabolische Stoffwechselwege steuert, treten beispielsweise Störungen des Energiestoffwechsels auf. Ein tieferes Verständnis der Rezeptoraktivität von CAR samt einer gezielten Modulierung seiner Aktivität würde wichtige Beiträge zum Verständnis der Regulation des Fremdstoffmetabolismus sowie der Entstehung von Nebenwirkungen durch eine Behandlung mit CAR-Liganden leisten. Dauerhafte Veränderungen endogener Stoffwechselwege könnten dann möglicherweise über eine pharmakologische Modulierung der CAR-Aktivität reduziert werden. \r\nZu diesem Zweck wurden im Verlauf dieser Arbeit die CAR-Rezeptoren der Amphibien (Xenopus tropicalis, Xenopus laevis) und Reptilien (Anolis carolinensis) erstmals kloniert, als Proteine exprimiert und charakterisiert. Vergleiche zwischen Tierarten ermöglichen ein besseres Verständnis von humanen Proteinen. Funktionelle Analysen ergaben Ähnlichkeiten des Xenopus laevis-CAR mit dem PXR der Säugetiere: eine niedrige basale Aktivität sowie eine starke Induzierbarkeit durch Liganden. In weiteren funktionellen Analysen wurden die Determinanten der basalen Aktivität des Xenopus laevis-CAR untersucht. Die basale Aktivität war nicht abhängig von der subzellulären Lokalisation, sondern ergab sich aus der Proteinstruktur, welche nur beim CAR der Landvertebraten in einer aktiven Konformation fixiert ist. Ähnlich dem PXR der Säugetiere besitzt CAR der Amphibien eine Aktivierungsdomäne, welche erst durch Ligandenbindung in eine aktive Konformation gebracht wird. Mutationen einzelner Aminosäuren zum jeweils humanen Homolog erhöhten die basale Aktivität des Xenopus laevis-CAR auf die des humanen Rezeptors. Diese Mutanten mit erhöhter basalen Aktivität zeigten eine verstärkte Interaktion mit dem Kofaktor PGC-1a, einem Regulator des Energiestoffwechsels bei Säugetieren. Die hepatischen Zielgene des CAR der Amphibien überlappen zum Teil mit den humanen Zielgenen und spielen ebenfalls eine Rolle im Energiestoffwechsel.

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Complex human diseases are a major challenge for biological research. The goal of my research is to develop effective methods for biostatistics in order to create more opportunities for the prevention and cure of human diseases. This dissertation proposes statistical technologies that have the ability of being adapted to sequencing data in family-based designs, and that account for joint effects as well as gene-gene and gene-environment interactions in the GWA studies. The framework includes statistical methods for rare and common variant association studies. Although next-generation DNA sequencing technologies have made rare variant association studies feasible, the development of powerful statistical methods for rare variant association studies is still underway. Chapter 2 demonstrates two adaptive weighting methods for rare variant association studies based on family data for quantitative traits. The results show that both proposed methods are robust to population stratification, robust to the direction and magnitude of the effects of causal variants, and more powerful than the methods using weights suggested by Madsen and Browning [2009]. In Chapter 3, I extended the previously proposed test for Testing the effect of an Optimally Weighted combination of variants (TOW) [Sha et al., 2012] for unrelated individuals to TOW &ndash F, TOW for Family &ndash based design. Simulation results show that TOW &ndash F can control for population stratification in wide range of population structures including spatially structured populations, is robust to the directions of effect of causal variants, and is relatively robust to percentage of neutral variants. In GWA studies, this dissertation consists of a two &ndash locus joint effect analysis and a two-stage approach accounting for gene &ndash gene and gene &ndash environment interaction. Chapter 4 proposes a novel two &ndash stage approach, which is promising to identify joint effects, especially for monotonic models. The proposed approach outperforms a single &ndash marker method and a regular two &ndash stage analysis based on the two &ndash locus genotypic test. In Chapter 5, I proposed a gene &ndash based two &ndash stage approach to identify gene &ndash gene and gene &ndash environment interactions in GWA studies which can include rare variants. The two &ndash stage approach is applied to the GAW 17 dataset to identify the interaction between KDR gene and smoking status.