An analysis of the components of pain, function, and health-related quality of life in patients with failed back surgery syndrome treated with spinal cord stimulation or conventional medical management

Objectives: Failed back surgery syndrome (FBSS) patients experience pain, functional disability, and reduced health-related quality of life (HRQoL) despite anatomically successful surgery. Examining sub-dimensions of health outcomes measures provides insight into patient well-being. Materials and Methods: The international multicenter PROCESS trial collected detailed HRQoL (EuroQol-5D; Short-Form 36) and function (Oswestry Disability Index) information on 100 FBSS patients. Results: At baseline, patients reported moderate-to-severe leg and back pain adversely affecting all dimensions of function and HRQoL. Compared with conventional medical management alone, patients also receiving spinal cord stimulation (SCS) reported superior pain relief, function, and HRQoL at six months on overall and most sub-component scores. The majority of these improvements with SCS were sustained at 24 months. Nonetheless, 36-40% of patients experienced ongoing marked disability (standing, lifting) and HRQoL problems (pain/discomfort). Conclusions: Longer-term patient management and research must focus on these refractory FBSS patients with persisting poor function and HRQoL outcomes.

Increased audiovisual integration in cochlear-implanted deaf patients: independent components analysis of longitudinal positron emission tomography data.

It has been demonstrated in earlier studies that patients with a cochlear implant have increased abilities for audio-visual integration because the crude information transmitted by the cochlear implant requires the persistent use of the complementary speech information from the visual channel. The brain network for these abilities needs to be clarified. We used an independent components analysis (ICA) of the activation (H2 (15) O) positron emission tomography data to explore occipito-temporal brain activity in post-lingually deaf patients with unilaterally implanted cochlear implants at several months post-implantation (T1), shortly after implantation (T0) and in normal hearing controls. In between-group analysis, patients at T1 had greater blood flow in the left middle temporal cortex as compared with T0 and normal hearing controls. In within-group analysis, patients at T0 had a task-related ICA component in the visual cortex, and patients at T1 had one task-related ICA component in the left middle temporal cortex and the other in the visual cortex. The time courses of temporal and visual activities during the positron emission tomography examination at T1 were highly correlated, meaning that synchronized integrative activity occurred. The greater involvement of the visual cortex and its close coupling with the temporal cortex at T1 confirm the importance of audio-visual integration in more experienced cochlear implant subjects at the cortical level.

Molecular and cellular analysis of genodermatoses

Summary Skin is the essential interface between our body and its environment; not only does it prevent water loss and protect us from external insults it also plays an essential role in the central nervous system acting as a major sense organ primarily for touch and pain. The main cell type present in skin, keratinocyte, undergoes a differentiation process leading to the formation of this protecting barrier. This work is intended to contribute to the understanding of how keratinocyte differentiates and skin functions. To do this, we studied two genetic skin diseases: Erythrokeratodermia variabilis and Mal de Meleda. Our approach was to examine the expression and localization of proteins implicated in these two pathologies in normal and diseased tissues and to determine the influence of mutant proteins at the molecular and cellular levels. Connexins are major components of gap junctions, channels allowing direct communication between cells. Our laboratory has identified mutations in both connexin 30.3 (Cx30.3) and 31 (Cx31) to be causally involved in erythrokeratodermia variabilis (EKV), an autosomal dominant disorder of keratinization. In the first chapter, we show a new mutation of Cx31, L209P-Cx31, in 3 EKV patients, extending the field of EKV-causing mutations although the mechanism by which connexin mutations lead to the disease is unclear. In the second chapter, we studied the effect of F137L-Cx30.3 on expression, trafficking and localization of cotransfected Cx31 and Cx30.3 in connexin-deficient HeLa cells. The F137 amino acid, highly conserved in connexin family, is oriented towards the channel pore and F137L mutation in either Cx30.3 or Cx31 lead to EKV. As two genes can lead to EKV when mutated, our hypothesis was that Cx31 and Cx30.3 might cooperate at a molecular level. We were able to demonstrate a physical interaction between Cx31 and Cx30.3. The presence of F137L-Cx30.3 disturbed the trafficking of both connexins, less connexins were integrated into gap junctions and thus, the coupling between cell was diminished. Connexins formed in the presence of F137L-Cx30.3 are degraded at their exit from the endoplasmic reticulum. In conclusion, our results indicate that the genetic heterogeneity of EKV is due to mutations in two interacting proteins. F137L-Cx30.3 has a dominant negative effect and affects Cx31, disturbing cellular communication in epidermal cells. Mal de Meleda is an autosomal recessive inflammatory and a keratotic palmoplantar skin disorder due to mutations in SLURP1 (secreted LY6/PLAUR-related protein 1). SLURP1 belongs to the LY6/PLAUR family of proteins and has the particularity of being secreted instead of being GPI-anchored. The high degree of structural similarity between SLURP1 and the three fingers motif of snake neurotoxins and LYNX 1-C suggests that this protein could interact with the neuronal acetylcholine receptors. In the third chapter, we show that SLURP1 potentiates responses of the a7 nicotinic acetylcholine receptor (nAchR) to acetylcholine. These results identify SLURP1 as a secreted epidermal neuromodulator that is likely to be essential for palmoplantar skin. In the fourth chapter, we show that SLURP1 is expressed in the granular layer of the epidermis but is absent from skin biopsies of Mal de Meleda patients. SLURP1 is also present in secretions such as sweat, tears or saliva. An in vitro analysis on two mutant of SLURP-I demonstrates that W15R-SLURP1 is absent in cells while G86R-SLURP1 is expressed and secreted, suggesting that SLURP1 can lead to the disease by either an absent or an abnormal protein. Finally, in the fifth chapter, we analyse the expression and biological properties of other LY6/PLAUR members, clustered around SLURP] on chromosome 8. Their GPI-anchored or secreted status were analysed in vitro. SLURP1, LYNX1-A and -B are secreted while LYPDC2 and LYNX 1-C are GPI anchored. Three of these proteins are expressed in the epidermis and in cultured keratinocytes. These results suggest that these LY6/PLAUR members may have an important role in skin homeostasis. Résumé Résumé La peau est la barrière essentielle entre notre corps et l'environnement, nous protégeant des agressions extérieures, de la déshydratation et assurant aussi un rôle dans le système nerveux central en tant qu'organe du toucher et de la douleur. Le principal type de cellules présent dans la peau est le kératinocyte qui suit un processus de différenciation aboutissant à la formation de cette barrière protectrice. Ce travail est destiné à comprendre la différenciation des kératinocytes et le fonctionnement de la peau. Pour cela, nous avons étudié deux maladies génodermatoses : l'Erthrokeratodermia Variabilis (EKV) et le Mal de Meleda. Nous avons examiné l'expression et la localisation des protéines impliquées dans ces deux pathologies dans des tissus normaux et malades puis déterminé l'influence des protéines mutantes aux niveaux moléculaires et cellulaires. Les connexines (Cx) sont les composants majeurs des jonctions communicantes, canaux permettant la communication directe entre les cellules. Notre laboratoire a identifié des mutations dans les Cx30.3 et Cx31 comme responsables de l'EKV, génodermatose de transmission autosomique dominante. Dans le ler chapitre, nous décrivons une nouvelle mutation de Cx31, L209-Cx31, et contribuons à l'établissement du catalogue des mutations de Cx31 entraînant cette maladie. Cependant, le mécanisme par lequel les mutations de Cx31 et C3x0.3 provoquent l'EKV est inconnu. Dans le 2ème chapitre, nous étudions les effets de la mutation F137L-Cx30.3 sur l'expression, le trafic et la localisation des Cx31 et Cx30.3 transfectées dans des cellules HeLa, déficientes en connexines. Comme deux gènes peuvent causer une EKV quand ils sont mutés, notre hypothèse était que Cx31 et Cx30.3 pourraient coopérer au niveau moléculaire. Nous avons montré l'existence d'une interaction physique entre ces deux connexines. La présence de la mutation F137L-Cx30.3 perturbe le trafic des deux connexines, moins de connexines sont intégrées dans les jonctions communicantes et donc le couplage entre les cellules est diminué. Les connexons formés en présence de cette mutation sont dégradés à leur sortie du réticulum endoplasmique. En conclusion, nos résultats indiquent que l'hétérogénéité génétique de EKV est due à des mutations dans deux protéines qui interagissent. F137L-Cx30.3 a un effet dominant négatif et affecte Cx31, perturbant la communication entre les cellules épidermiques. Le Mal de Meleda est une maladie récessive de la peau palmoplantaire due à des mutations dans SLURP1. SLURP1 appartient à la famille des protéines contenant un domaine LY6/PLAUR et a la particularité d'être sécrétée. La grande homologie de structure existant entre SLURP1, les neurotoxines de serpent et LYNX1-C suggère que la protéine pourrait interagir avec des récepteurs à acétylcholine (Ach). Dans le 3ème chapitre, nous montrons que SLURP1 module la réponse à l'Ach du récepteur nicotinique α7. Ces résultats identifient SLURP1 comme un neuromodulateur épidermique sécrété, probablement essentiel pour la peau palmoplantaire. Dans le 4ème chapitre, nous montrons que SLURP1 est exprimé dans la couche granuleuse de l'épiderme et qu'il est absent des biopsies des patients. SLURP1 a aussi été détecté dans des sécrétions telles que la sueur, les lamies et la salive. Une analyse in vitro de deux mutants de SLURP1 a montré que W15R-SLURP1 est absent des cellules tandis que G86R-SLURP1 est exprimé et sécrété, suggérant qu'une absence ou une anomalie de SLURP1 peuvent causer la maladie. Finalement, dans le 5ème chapitre, nous analysons l'expression et les propriétés biologiques d'autres membres de la famille LY6/PLAUR localisés autour de SLURP1 sur le chromosome 8. Leur statut de protéines sécrétées ou liées à la membrane par une ancre GPI est analysé in vitro. SLURP1, LYNXI-A et -B sont sécrétées alors que LYPDC2 et LYNX1-C sont liés à la membrane. Trois de ces protéines sont exprimées dans l'épiderme et dans des kératinocytes cultivés. Ces résultats suggèrent que la famille LY6/PLAUR pourrait avoir un rôle important dans l'homéostasie de la peau.

The application of trend surface models to the analysis of time factors in Swiss cancer mortality.

To study different temporal components on cancer mortality (age, period and cohort) methods of graphic representation were applied to Swiss mortality data from 1950 to 1984. Maps using continuous slopes ("contour maps") and based on eight tones of grey according to the absolute distribution of rates were used to represent the surfaces defined by the matrix of various age-specific rates. Further, progressively more complex regression surface equations were defined, on the basis of two independent variables (age/cohort) and a dependent one (each age-specific mortality rate). General patterns of trends in cancer mortality were thus identified, permitting definition of important cohort (e.g., upwards for lung and other tobacco-related neoplasms, or downwards for stomach) or period (e.g., downwards for intestines or thyroid cancers) effects, besides the major underlying age component. For most cancer sites, even the lower order (1st to 3rd) models utilised provided excellent fitting, allowing immediate identification of the residuals (e.g., high or low mortality points) as well as estimates of first-order interactions between the three factors, although the parameters of the main effects remained still undetermined. Thus, the method should be essentially used as summary guide to illustrate and understand the general patterns of age, period and cohort effects in (cancer) mortality, although they cannot conceptually solve the inherent problem of identifiability of the three components.

Biomarker analysis of stored blood products: emphasis on pre-analytical issues.

Millions of blood products are transfused every year; many lives are thus directly concerned by transfusion. The three main labile blood products used in transfusion are erythrocyte concentrates, platelet concentrates and fresh frozen plasma. Each of these products has to be stored according to its particular components. However, during storage, modifications or degradation of those components may occur, and are known as storage lesions. Thus, biomarker discovery of in vivo blood aging as well as in vitro labile blood products storage lesions is of high interest for the transfusion medicine community. Pre-analytical issues are of major importance in analyzing the various blood products during storage conditions as well as according to various protocols that are currently used in blood banks for their preparations. This paper will review key elements that have to be taken into account in the context of proteomic-based biomarker discovery applied to blood banking.

Cross-species analysis of the replication complex of Old World arenaviruses reveals two nucleoprotein sites involved in L protein function.

Lassa virus (LASV) causing hemorrhagic Lassa fever in West Africa, Mopeia virus (MOPV) from East Africa, and lymphocytic choriomeningitis virus (LCMV) are the main representatives of the Old World arenaviruses. Little is known about how the components of the arenavirus replication machinery, i.e., the genome, nucleoprotein (NP), and L protein, interact. In addition, it is unknown whether these components can function across species boundaries. We established minireplicon systems for MOPV and LCMV in analogy to the existing LASV system and exchanged the components among the three systems. The functional and physical integrity of the resulting complexes was tested by reporter gene assay, Northern blotting, and coimmunoprecipitation studies. The minigenomes, NPs, and L proteins of LASV and MOPV could be exchanged without loss of function. LASV and MOPV L protein was also active in conjunction with LCMV NP, while the LCMV L protein required homologous NP for activity. Analysis of LASV/LCMV NP chimeras identified a single LCMV-specific NP residue (Ile-53) and the C terminus of NP (residues 340 to 558) as being essential for LCMV L protein function. The defect of LASV and MOPV NP in supporting transcriptional activity of LCMV L protein was not caused by a defect in physical NP-L protein interaction. In conclusion, components of the replication complex of Old World arenaviruses have the potential to functionally and physically interact across species boundaries. Residue 53 and the C-terminal domain of NP are important for function of L protein during genome replication and transcription.

Computational and statistical analysis of copy number variants in normal and cancer genomes

AbstractAlthough the genomes from any two human individuals are more than 99.99% identical at the sequence level, some structural variation can be observed. Differences between genomes include single nucleotide polymorphism (SNP), inversion and copy number changes (gain or loss of DNA). The latter can range from submicroscopic events (CNVs, at least 1kb in size) to complete chromosomal aneuploidies. Small copy number variations have often no (lethal) consequences to the cell, but a few were associated to disease susceptibility and phenotypic variations. Larger re-arrangements (i.e. complete chromosome gain) are frequently associated with more severe consequences on health such as genomic disorders and cancer. High-throughput technologies like DNA microarrays enable the detection of CNVs in a genome-wide fashion. Since the initial catalogue of CNVs in the human genome in 2006, there has been tremendous interest in CNVs both in the context of population and medical genetics. Understanding CNV patterns within and between human populations is essential to elucidate their possible contribution to disease. But genome analysis is a challenging task; the technology evolves rapidly creating needs for novel, efficient and robust analytical tools which need to be compared with existing ones. Also, while the link between CNV and disease has been established, the relative CNV contribution is not fully understood and the predisposition to disease from CNVs of the general population has not been yet investigated.During my PhD thesis, I worked on several aspects related to CNVs. As l will report in chapter 3, ! was interested in computational methods to detect CNVs from the general population. I had access to the CoLaus dataset, a population-based study with more than 6,000 participants from the Lausanne area. All these individuals were analysed on SNP arrays and extensive clinical information were available. My work explored existing CNV detection methods and I developed a variety of metrics to compare their performance. Since these methods were not producing entirely satisfactory results, I implemented my own method which outperformed two existing methods. I also devised strategies to combine CNVs from different individuals into CNV regions.I was also interested in the clinical impact of CNVs in common disease (chapter 4). Through an international collaboration led by the Centre Hospitalier Universitaire Vaudois (CHUV) and the Imperial College London I was involved as a main data analyst in the investigation of a rare deletion at chromosome 16p11 detected in obese patients. Specifically, we compared 8,456 obese patients and 11,856 individuals from the general population and we found that the deletion was accounting for 0.7% of the morbid obesity cases and was absent in healthy non- obese controls. This highlights the importance of rare variants with strong impact and provides new insights in the design of clinical studies to identify the missing heritability in common disease.Furthermore, I was interested in the detection of somatic copy number alterations (SCNA) and their consequences in cancer (chapter 5). This project was a collaboration initiated by the Ludwig Institute for Cancer Research and involved other groups from the Swiss Institute of Bioinformatics, the CHUV and Universities of Lausanne and Geneva. The focus of my work was to identify genes with altered expression levels within somatic copy number alterations (SCNA) in seven metastatic melanoma ceil lines, using CGH and SNP arrays, RNA-seq, and karyotyping. Very few SCNA genes were shared by even two melanoma samples making it difficult to draw any conclusions at the individual gene level. To overcome this limitation, I used a network-guided analysis to determine whether any pathways, defined by amplified or deleted genes, were common among the samples. Six of the melanoma samples were potentially altered in four pathways and five samples harboured copy-number and expression changes in components of six pathways. In total, this approach identified 28 pathways. Validation with two external, large melanoma datasets confirmed all but three of the detected pathways and demonstrated the utility of network-guided approaches for both large and small datasets analysis.RésuméBien que le génome de deux individus soit similaire à plus de 99.99%, des différences de structure peuvent être observées. Ces différences incluent les polymorphismes simples de nucléotides, les inversions et les changements en nombre de copies (gain ou perte d'ADN). Ces derniers varient de petits événements dits sous-microscopiques (moins de 1kb en taille), appelés CNVs (copy number variants) jusqu'à des événements plus large pouvant affecter des chromosomes entiers. Les petites variations sont généralement sans conséquence pour la cellule, toutefois certaines ont été impliquées dans la prédisposition à certaines maladies, et à des variations phénotypiques dans la population générale. Les réarrangements plus grands (par exemple, une copie additionnelle d'un chromosome appelée communément trisomie) ont des répercutions plus grave pour la santé, comme par exemple dans certains syndromes génomiques et dans le cancer. Les technologies à haut-débit telle les puces à ADN permettent la détection de CNVs à l'échelle du génome humain. La cartographie en 2006 des CNV du génome humain, a suscité un fort intérêt en génétique des populations et en génétique médicale. La détection de différences au sein et entre plusieurs populations est un élément clef pour élucider la contribution possible des CNVs dans les maladies. Toutefois l'analyse du génome reste une tâche difficile, la technologie évolue très rapidement créant de nouveaux besoins pour le développement d'outils, l'amélioration des précédents, et la comparaison des différentes méthodes. De plus, si le lien entre CNV et maladie a été établit, leur contribution précise n'est pas encore comprise. De même que les études sur la prédisposition aux maladies par des CNVs détectés dans la population générale n'ont pas encore été réalisées.Pendant mon doctorat, je me suis concentré sur trois axes principaux ayant attrait aux CNV. Dans le chapitre 3, je détaille mes travaux sur les méthodes d'analyses des puces à ADN. J'ai eu accès aux données du projet CoLaus, une étude de la population de Lausanne. Dans cette étude, le génome de plus de 6000 individus a été analysé avec des puces SNP et de nombreuses informations cliniques ont été récoltées. Pendant mes travaux, j'ai utilisé et comparé plusieurs méthodes de détection des CNVs. Les résultats n'étant pas complètement satisfaisant, j'ai implémenté ma propre méthode qui donne de meilleures performances que deux des trois autres méthodes utilisées. Je me suis aussi intéressé aux stratégies pour combiner les CNVs de différents individus en régions.Je me suis aussi intéressé à l'impact clinique des CNVs dans le cas des maladies génétiques communes (chapitre 4). Ce projet fut possible grâce à une étroite collaboration avec le Centre Hospitalier Universitaire Vaudois (CHUV) et l'Impérial College à Londres. Dans ce projet, j'ai été l'un des analystes principaux et j'ai travaillé sur l'impact clinique d'une délétion rare du chromosome 16p11 présente chez des patients atteints d'obésité. Dans cette collaboration multidisciplinaire, nous avons comparés 8'456 patients atteint d'obésité et 11 '856 individus de la population générale. Nous avons trouvés que la délétion était impliquée dans 0.7% des cas d'obésité morbide et était absente chez les contrôles sains (non-atteint d'obésité). Notre étude illustre l'importance des CNVs rares qui peuvent avoir un impact clinique très important. De plus, ceci permet d'envisager une alternative aux études d'associations pour améliorer notre compréhension de l'étiologie des maladies génétiques communes.Egalement, j'ai travaillé sur la détection d'altérations somatiques en nombres de copies (SCNA) et de leurs conséquences pour le cancer (chapitre 5). Ce projet fut une collaboration initiée par l'Institut Ludwig de Recherche contre le Cancer et impliquant l'Institut Suisse de Bioinformatique, le CHUV et les Universités de Lausanne et Genève. Je me suis concentré sur l'identification de gènes affectés par des SCNAs et avec une sur- ou sous-expression dans des lignées cellulaires dérivées de mélanomes métastatiques. Les données utilisées ont été générées par des puces ADN (CGH et SNP) et du séquençage à haut débit du transcriptome. Mes recherches ont montrées que peu de gènes sont récurrents entre les mélanomes, ce qui rend difficile l'interprétation des résultats. Pour contourner ces limitations, j'ai utilisé une analyse de réseaux pour définir si des réseaux de signalisations enrichis en gènes amplifiés ou perdus, étaient communs aux différents échantillons. En fait, parmi les 28 réseaux détectés, quatre réseaux sont potentiellement dérégulés chez six mélanomes, et six réseaux supplémentaires sont affectés chez cinq mélanomes. La validation de ces résultats avec deux larges jeux de données publiques, a confirmée tous ces réseaux sauf trois. Ceci démontre l'utilité de cette approche pour l'analyse de petits et de larges jeux de données.Résumé grand publicL'avènement de la biologie moléculaire, en particulier ces dix dernières années, a révolutionné la recherche en génétique médicale. Grâce à la disponibilité du génome humain de référence dès 2001, de nouvelles technologies telles que les puces à ADN sont apparues et ont permis d'étudier le génome dans son ensemble avec une résolution dite sous-microscopique jusque-là impossible par les techniques traditionnelles de cytogénétique. Un des exemples les plus importants est l'étude des variations structurales du génome, en particulier l'étude du nombre de copies des gènes. Il était établi dès 1959 avec l'identification de la trisomie 21 par le professeur Jérôme Lejeune que le gain d'un chromosome supplémentaire était à l'origine de syndrome génétique avec des répercussions graves pour la santé du patient. Ces observations ont également été réalisées en oncologie sur les cellules cancéreuses qui accumulent fréquemment des aberrations en nombre de copies (telles que la perte ou le gain d'un ou plusieurs chromosomes). Dès 2004, plusieurs groupes de recherches ont répertorié des changements en nombre de copies dans des individus provenant de la population générale (c'est-à-dire sans symptômes cliniques visibles). En 2006, le Dr. Richard Redon a établi la première carte de variation en nombre de copies dans la population générale. Ces découvertes ont démontrées que les variations dans le génome était fréquentes et que la plupart d'entre elles étaient bénignes, c'est-à-dire sans conséquence clinique pour la santé de l'individu. Ceci a suscité un très grand intérêt pour comprendre les variations naturelles entre individus mais aussi pour mieux appréhender la prédisposition génétique à certaines maladies.Lors de ma thèse, j'ai développé de nouveaux outils informatiques pour l'analyse de puces à ADN dans le but de cartographier ces variations à l'échelle génomique. J'ai utilisé ces outils pour établir les variations dans la population suisse et je me suis consacré par la suite à l'étude de facteurs pouvant expliquer la prédisposition aux maladies telles que l'obésité. Cette étude en collaboration avec le Centre Hospitalier Universitaire Vaudois a permis l'identification d'une délétion sur le chromosome 16 expliquant 0.7% des cas d'obésité morbide. Cette étude a plusieurs répercussions. Tout d'abord elle permet d'effectuer le diagnostique chez les enfants à naître afin de déterminer leur prédisposition à l'obésité. Ensuite ce locus implique une vingtaine de gènes. Ceci permet de formuler de nouvelles hypothèses de travail et d'orienter la recherche afin d'améliorer notre compréhension de la maladie et l'espoir de découvrir un nouveau traitement Enfin notre étude fournit une alternative aux études d'association génétique qui n'ont eu jusqu'à présent qu'un succès mitigé.Dans la dernière partie de ma thèse, je me suis intéressé à l'analyse des aberrations en nombre de copies dans le cancer. Mon choix s'est porté sur l'étude de mélanomes, impliqués dans le cancer de la peau. Le mélanome est une tumeur très agressive, elle est responsable de 80% des décès des cancers de la peau et est souvent résistante aux traitements utilisés en oncologie (chimiothérapie, radiothérapie). Dans le cadre d'une collaboration entre l'Institut Ludwig de Recherche contre le Cancer, l'Institut Suisse de Bioinformatique, le CHUV et les universités de Lausanne et Genève, nous avons séquencés l'exome (les gènes) et le transcriptome (l'expression des gènes) de sept mélanomes métastatiques, effectués des analyses du nombre de copies par des puces à ADN et des caryotypes. Mes travaux ont permis le développement de nouvelles méthodes d'analyses adaptées au cancer, d'établir la liste des réseaux de signalisation cellulaire affectés de façon récurrente chez le mélanome et d'identifier deux cibles thérapeutiques potentielles jusqu'alors ignorées dans les cancers de la peau.

Computational analysis of the genetic and environmental contributions to disease-related human phenotypes: From predicting adverse lipid response of HIV patients receiving antiretroviral therapy to genome-wide association studies of cardiovascular and lipid related disorders

Genetic variants influence the risk to develop certain diseases or give rise to differences in drug response. Recent progresses in cost-effective, high-throughput genome-wide techniques, such as microarrays measuring Single Nucleotide Polymorphisms (SNPs), have facilitated genotyping of large clinical and population cohorts. Combining the massive genotypic data with measurements of phenotypic traits allows for the determination of genetic differences that explain, at least in part, the phenotypic variations within a population. So far, models combining the most significant variants can only explain a small fraction of the variance, indicating the limitations of current models. In particular, researchers have only begun to address the possibility of interactions between genotypes and the environment. Elucidating the contributions of such interactions is a difficult task because of the large number of genetic as well as possible environmental factors.In this thesis, I worked on several projects within this context. My first and main project was the identification of possible SNP-environment interactions, where the phenotypes were serum lipid levels of patients from the Swiss HIV Cohort Study (SHCS) treated with antiretroviral therapy. Here the genotypes consisted of a limited set of SNPs in candidate genes relevant for lipid transport and metabolism. The environmental variables were the specific combinations of drugs given to each patient over the treatment period. My work explored bioinformatic and statistical approaches to relate patients' lipid responses to these SNPs, drugs and, importantly, their interactions. The goal of this project was to improve our understanding and to explore the possibility of predicting dyslipidemia, a well-known adverse drug reaction of antiretroviral therapy. Specifically, I quantified how much of the variance in lipid profiles could be explained by the host genetic variants, the administered drugs and SNP-drug interactions and assessed the predictive power of these features on lipid responses. Using cross-validation stratified by patients, we could not validate our hypothesis that models that select a subset of SNP-drug interactions in a principled way have better predictive power than the control models using "random" subsets. Nevertheless, all models tested containing SNP and/or drug terms, exhibited significant predictive power (as compared to a random predictor) and explained a sizable proportion of variance, in the patient stratified cross-validation context. Importantly, the model containing stepwise selected SNP terms showed higher capacity to predict triglyceride levels than a model containing randomly selected SNPs. Dyslipidemia is a complex trait for which many factors remain to be discovered, thus missing from the data, and possibly explaining the limitations of our analysis. In particular, the interactions of drugs with SNPs selected from the set of candidate genes likely have small effect sizes which we were unable to detect in a sample of the present size (<800 patients).In the second part of my thesis, I performed genome-wide association studies within the Cohorte Lausannoise (CoLaus). I have been involved in several international projects to identify SNPs that are associated with various traits, such as serum calcium, body mass index, two-hour glucose levels, as well as metabolic syndrome and its components. These phenotypes are all related to major human health issues, such as cardiovascular disease. I applied statistical methods to detect new variants associated with these phenotypes, contributing to the identification of new genetic loci that may lead to new insights into the genetic basis of these traits. This kind of research will lead to a better understanding of the mechanisms underlying these pathologies, a better evaluation of disease risk, the identification of new therapeutic leads and may ultimately lead to the realization of "personalized" medicine.

Structural analysis of Turtle mountain (Alberta) using digital elevation model: Toward a progressive failure

In 1903, the eastern slope of Turtle Mountain (Alberta) was affected by a 30 M m3-rockslide named Frank Slide that resulted in more than 70 casualties. Assuming that the main discontinuity sets, including bedding, control part of the slope morphology, the structural features of Turtle Mountain were investigated using a digital elevation model (DEM). Using new landscape analysis techniques, we have identified three main joint and fault sets. These results are in agreement with those sets identified through field observations. Landscape analysis techniques, using a DEM, confirm and refine the most recent geology model of the Frank Slide. The rockslide was initiated along bedding and a fault at the base of the slope and propagated up slope by a regressive process following a surface composed of pre-existing discontinuities. The DEM analysis also permits the identification of important geological structures along the 1903 slide scar. Based on the so called Sloping Local Base Level (SLBL) an estimation was made of the present unstable volumes in the main scar delimited by the cracks, and around the south area of the scar (South Peak). The SLBL is a method permitting a geometric interpretation of the failure surface based on a DEM. Finally we propose a failure mechanism permitting the progressive failure of the rock mass that considers gentle dipping wedges (30°). The prisms or wedges defined by two discontinuity sets permit the creation of a failure surface by progressive failure. Such structures are more commonly observed in recent rockslides. This method is efficient and is recommended as a preliminary analysis prior to field investigation.

In vitro engineering of human stratified urothelium: analysis of its morphology and function.

PURPOSE: Gastric or intestinal patches, commonly used for reconstructive cystoplasty, may induce severe metabolic complications. The use of bladder tissues reconstructed in vitro could avoid these complications. We compared cellular differentiation and permeability characteristics of human native with in vitro cultured stratified urothelium. MATERIALS AND METHODS: Human stratified urothelium was induced in vitro. Morphology was studied with light and electron microscopy and expression of key cellular proteins was assessed using immunohistochemistry. Permeability coefficients were determined by measuring water, urea, ammonia and proton fluxes across the urothelium. RESULTS: As in native urothelium the stratified urothelial construct consisted of basal membrane and basal, intermediate and superficial cell layers. The apical membrane of superficial cells formed villi and glycocalices, and tight junctions and desmosomes were developed. Immunohistochemistry showed similarities and differences in the expression of cytokeratins, integrin and cellular adhesion proteins. In the cultured urothelium cytokeratin 20 and integrin subunits alpha6 and beta4 were absent, and symplekin was expressed diffusely in all layers. Uroplakins were clearly expressed in the superficial umbrella cells of the urothelial constructs, however, they were also present in intermediate and basal cells. Symplekin and uroplakins were expressed only in the superficial cells of native bladder tissue. The urothelial constructs showed excellent viability, and functionally their permeabilities for water, urea and ammonia were no different from those measured in native human urothelium. Proton permeability was even lower in the constructs compared to that of native urothelium. CONCLUSIONS: Although the in vitro cultured human stratified urothelium did not show complete terminal differentiation of its superficial cells, it retained the same barrier characteristics against the principal urine components. These results indicate that such in vitro cultured urothelium, after being grown on a compliant degradable support or in coculture with smooth muscle cells, is suitable for reconstructive cystoplasty.

Chemical genetic analysis of cdc2p : new insights into the regulation of cytokinesis in "Schizosaccharomyces pombe"

RÉSUMÉ La protéine kinase cyciine-cdc2p (Cdk) joue un rôle fondamental dans la progression du cycle cellulaire dans la levure de fission Schizosaccharomyces pombe. Nous avons étudié le rôle de cdc2p dans la régulation de la cascade de septation ou SIN (septation initiation network) en mitose et en méiose. Le SIN contrôle l'initiation de la cytokinèse à la fin de la mitose, et est supposé être négativement régulé par cdc2p. Nous avons mutagénéisé le site actif de cdc2p afin qu'il puisse lier un analogue de l'ATP (PP1) qui agit comme inhibiteur. Cet analogue ne peut pas lier la kinase de type sauvage. Cette approche dite «chemical genetics» permet une meilleure résolution temporelle comparée à l'approche classique utilisant les mutants sensibles à une température élevée. Nous avons montré que ce mutant cdc2-as (analogue sensitive) est fonctionnel et que, in vitro, l'activité kinase est inhibée en présence de l'analogue. Les cellules portant cette mutation, contrairement aux cellules de type sauvage s'arrêtent de manière irréversible soit en G2 soit en G1 et G2, suivant la concentration de l'inhibiteur. L'inactivation de cdc2p-as dans des cellules arrêtées en métaphase conduit au recrutement asymétrique des protéines du SIN sur le pôle du fuseau mitotique et au recrutement des composants du SIN, ainsi que de la ß-(1,3)glucan synthase à l'anneau contractile. De plus, nos résultats montrent que l'orthologue de la phosphatase cdc14p dans S. pombe, fip1p/clp1p, joue un rôle dans la régulation de la localisation des protéines du SIN suite à l'inactivation de cdc2p. Finalement, l'activité de cdc2p est requise pour maintenir la polo-like kinase plo1p sur les pôles du fuseau mitotique dans les premiers stages de la mitose. C'est pourquoi nous concluons que l'inactivation de cdc2p est suffisante pour activer le SIN et promouvoir la cytokinèse. Dans une étude séparée, nous avons caractérisé des potentiellement nouveaux composants ou régulateurs du SIN qui ont été isolés dans deux criblages génétiques visant à isoler des mutants atténuants la signalisation du SIN. Summary : The cyclin dependent protein kinase (Cdk) cdc2p plays a central role in the cell cycle progression of fission yeast Schizosaccharomyces pombe. We have studied the role of cdc2p in regulating the septation initiation network (SIN) in mitosis and meiosis. The SIN regulates the initiation of cytokinesis at the end of mitosis and is thought to be inhibited by cdc2p. We have mutated the active site of cdc2p to permit binding of an inhibitory ATP analogue (PP1), which is unable to bind unmodified kinases. This "chemical genetic" approach provides a much higher temporal resolution than it can be achieved with classical temperature-sensitive mutants. We demonstrate that cdc2-as (analogue sensitive) is functional and that addition of PP1 inhibits cdc2p kinase activity in vitro. Cells carrying the cdc2-as allele, but not cdc2+, undergo reversible cell cycle arrest following addition of PP1 either in G2, or at both major commitment points in the cell cycle (G1 and G2), depending upon the concentration of PP1. Inactivation of cdc2p-as in cells arrested in early mitosis promotes both the asymmetric recruitment of SIN proteins to the spindle pole bodies (SPBs), and the recruitment of the most downstream SIN components and ß-(1,3)-glucan synthase to the contractile ring. Furthermore, our results indicate that the S. pombe orthologue of Cdc14p, flp1p/clp1p, plays a role in regulating the relocalisation of SIN proteins following inactivation of cdc2p, and that cdc2p activity is required to retain the polo like kinase plot p on the SPBs in early mitosis. Thus, we conclude that inactivation of cdc2p is sufficient to activate the SIN and to promote cytokinesis. In a separate study, we have initially characterised potential novel components or regulators of the SIN pathway identified by two genetic screens for mutants attenuating SIN signaling.

The mouse Lyt-2/3 antigen complex--II. Structural analysis of the subunits.

Surface- or biosynthetically labeled Lyt-2/3 antigens were isolated from cell lysates by immunoprecipitation and affinity chromatography with a monoclonal antibody. Tryptic digests of the individual subunits of 37,000, 32,000 and 28,000 apparent mol. wts were analysed by reverse-phase high-performance liquid chromatography and by two-dimensional peptide mapping. The results indicate that the 37,000 and 32,000 mol. wt components are structurally very similar whereas the 28,000 mol. wt component appears as a different molecule.

Structures and failure mechanisms analysis of Turtle Mountain

The 30 M m3 rockslide that occurred on the east face of Turtle Mountain in the Crowsnest Pass area (Alberta) in 1903 is one of the most famous landslides in the world. In this paper, the structural features of the South part of Turtle Mountain are investigated in order to understand the present-day scar morphology and to identify the most important failure mechanisms. The structural features were mapped using a high resolution digital elevation model (DEM) in order to have a large overview of the relevant structural features. At the same time, a field survey was carried out and small scale fractures were analyzed in different parts of southern Turtle Mountain in order to confirm the DEM analysis. Results allow to identify six main discontinuity sets that influence the Turtle Mountain morphology. These discontinuity sets were then used to identify the potential failure mechanisms affecting Third Peak and South Peak area.

The application of chemometrics on Infrared and Raman spectra as a tool for the forensic analysis of paints

The aim of this work is to evaluate the capabilities and limitations of chemometric methods and other mathematical treatments applied on spectroscopic data and more specifically on paint samples. The uniqueness of the spectroscopic data comes from the fact that they are multivariate - a few thousands variables - and highly correlated. Statistical methods are used to study and discriminate samples. A collection of 34 red paint samples was measured by Infrared and Raman spectroscopy. Data pretreatment and variable selection demonstrated that the use of Standard Normal Variate (SNV), together with removal of the noisy variables by a selection of the wavelengths from 650 to 1830 cm−1 and 2730-3600 cm−1, provided the optimal results for infrared analysis. Principal component analysis (PCA) and hierarchical clusters analysis (HCA) were then used as exploratory techniques to provide evidence of structure in the data, cluster, or detect outliers. With the FTIR spectra, the Principal Components (PCs) correspond to binder types and the presence/absence of calcium carbonate. 83% of the total variance is explained by the four first PCs. As for the Raman spectra, we observe six different clusters corresponding to the different pigment compositions when plotting the first two PCs, which account for 37% and 20% respectively of the total variance. In conclusion, the use of chemometrics for the forensic analysis of paints provides a valuable tool for objective decision-making, a reduction of the possible classification errors, and a better efficiency, having robust results with time saving data treatments.