MACROPHAGES FROM CROHN'S DISEASE PATIENTS EXHIBIT DEFICIENT REPAIR FUNCTIONS

AbstractBackground: Mucosal healing is becoming a major goal in the treatment of Crohn's disease. It has been previously reported that myeloid cells induce mucosal healing in a mouse model of acute colitis. The aim in this study is to investigate the pro-repair function of myeloid cells in healthy donors (HD) and Crohn's disease patients (CD).Methods: Peripheral blood mononuclear cells (PBMC) from HD and CD patients were isolated from blood samples and tested either directly or after differentiation ex-vivo into macrophages (Μφ). Intestinal macrophages (IMACs) were isolated from the bowel mucosa of patients undergoing intestinal surgical resections. Through an in vitro wound healing assay the repairing ability of these various human myeloid cells and the mechanisms responsible of wound healing were evaluated.Results: PBMC and myeloid CD14+ cells from HD and CD were not able to repair at any tested cell concentration. Μφ from HD and ulcerative colitis (UC) patients were able to induce wound healing and this capacity was partially mediated by Hepatocyte Growth Factor (HGF). Remarkably, CD Μφ were unable to promote wound healing and produced lower levels of HGF as compared to Μφ from HD or UC patients. In particular, Μφ from CD in active phase (ACD) exhibited the weakest repair function, but this defect was rescued if rh- GM-CSF was added during the differentiation of PBMCs. Interestingly, IMACs from HD promoted wound healing and produced HGF.Conclusion: We demonstrated that CD Μφ, unlike HD or UC Μφ, were defective in promoting wound healing, in particular if coming from an ACD. This deficient pro-repair function was related to a lower production of HGF. IMACs from HD colonic mucosa induced wound healing, confirming the results obtained with Μφ. Our results are in keeping with the current theory of CD as an innate immunodeficiency. In this context, Μφ may be responsible for the mucosal repair defects observed in CD patients and for the subsequent chronic activation of the adaptive immune response.

Role of retinoic acid signaling pathway in endoderm antero-posterior patterning

Summary : During vertebrate embryonic development, the endoderm gives rise to the digestive tract and associated organs such as thyroid, lung, liver and pancreas. Earlier studies have shown that extracellular signals coming from the lateral plate mesoderm pattern the endoderm along the antero-posterior axis specifying different organ primordia. An early sign of patterning is the expression of organ-specific genes in restricted endoderm domains. In this study, we focused on the role of the retinoic acid (RA) signaling pathway in the regionalization of the future gut tube along the main body axis. We show that the RA-synthesizing enzyme Raldh2 is expressed in mesoderm close to the endoderm during gastrulation and during somitogenesis. During the same period, all retinoic acid receptors (RARs), which directly activate gene transcription, are expressed in endoderm suggesting that endoderm can be responsive to RA. Activation or inhibition of RA signaling was achieved by adding RA or RAR inhibitors tither on beads or in the medium to cultured chick embryos. Branchial arch (BA) endoderm markers were shifted posteriorly upon depletion of RA at gastrulation, but were not shifted after this stage. Conversely, exposure to exogenous RA repressed the most-anterior BA markers and shifted more posterior BA markers anteriorly. This suggests that graded levels of RA activity in the foregut define gene boundaries and expression levels. The posterior foregut and midget markers Pdxl and CdxA require RA for their expression, but elevated RA does not shift their expression domain along the antero-posterior axis. In addition, we investigated if RA signaling pathway interacts with other signaling pathways to pattern the endoderm. Although both RA and FGFs block anterior foregut marker expression, our experiments suggest that FGF signaling does not depend on RA in anterior endoderm. To validate our chick data in mammalians and evaluate whether RA acts directly on endoderm, we have further generated a conditional loss-of-function system in the mouse, which is still under examination.

Maladies cardiovasculaires: une cible de prévention pour contrecarrer les effets de l'évolution démographique [Cardiovascular diseases: a target for prevention to thwart the effects of population aging]

The prevalence of cardiovascular diseases is high in the old age. These conditions have a negative impact on the quality of life and are associated with a high risk of disability. A marked increase in the number of affected individuals is likely, in coming decades, with population aging. Primary cardiovascular prevention, but also an early recognition of subclinical heart diseases and secondary and tertiary prevention will be of up most importance for individuals (quality of life) and for societies (burden of functional impairments) as the baby-boom generation reaches retirement age.

Premières nidifications du Guêpier d'Europe (Merops apiaster) dans le Canton de Vaud et problématique de conservation du site

The first breeding records of the Bee-eater in canton de Vaud was recorded in a temporarily disused gravel-pit in the Venoge valley (W Switzerland). In 1996 the reproduction of a single pair failed after the eclosion of the chicks during a long period of uninterrupted rain. In 1997, probably the same pair returned and raised 3 fledglings. In 1998, 4 pairs bred raising 20 feldglings. The site is particularly rich with insects and birds: 12 bird species of the red data list breed in the site and surrounding area. However, it is threatened by state project: the gravel-pit is planned to be filled in the coming years. Its future management in relation to the preservation of the Bee-eater and the other bird species on the red data list is presented and discussed.

Measures of health and disease in Africa: are current methods giving us useful information about trends in cardiovascular diseases?

An enormous burst of interest in the public health burden from chronic disease in Africa has emerged as a consequence of efforts to estimate global population health. Detailed estimates are now published for Africa as a whole and each country on the continent. These data have formed the basis for warnings about sharp increases in cardiovascular disease (CVD) in the coming decades. In this essay we briefly examine the trajectory of social development on the continent and its consequences for the epidemiology of CVD and potential control strategies. Since full vital registration has only been implemented in segments of South Africa and the island nations of Seychelles and Mauritius - formally part of WHO-AFRO - mortality data are extremely limited. Numerous sample surveys have been conducted but they often lack standardization or objective measures of health status. Trend data are even less informative. However, using the best quality data available, age-standardized trends in CVD are downward, and in the case of stroke, sharply so. While acknowledging that the extremely limited available data cannot be used as the basis for inference to the continent, we raise the concern that general estimates based on imputation to fill in the missing mortality tables may be even more misleading. No immediate remedies to this problem can be identified, however bilateral collaborative efforts to strength local educational institutions and governmental agencies rank as the highest priority for near term development.

Clinical Experience with Immune Monitoring for Cytomegalovirus in Solid-Organ Transplant Recipients.

Novel strategies are needed to further reduce the burden of cytomegalovirus (CMV) disease in solid-organ transplant (SOT) recipients. Measurement of the specific cell-mediated immunity against CMV can identify the actual risk for the development of CMV disease in a given patient. Thus, immune monitoring is an attractive strategy for individualizing the management of CMV after transplantation. A growing number of observational studies on immune monitoring for CMV have been published over recent years, although there is a lack of data coming from interventional trials. In high-risk patients, measurement of CMV-specific T-cell responses appropriately stratifies the risk of CMV disease after discontinuation of antiviral prophylaxis. Immune monitoring may also help to identify patients followed by the preemptive approach at low risk for progression to CMV disease. Pretransplant assessment of cell-mediated immunity in seropositive patients may predict the development of posttransplant CMV infection. Overall, these studies indicate that the use of cell-mediated immunity assays has the potential to improve the management of CMV disease in SOT recipients.

microRNAs in colon cancer: a roadmap for discovery.

Cancer omics data are exponentially created and associated with clinical variables, and important findings can be extracted based on bioinformatics approaches which can then be experimentally validated. Many of these findings are related to a specific class of non-coding RNA molecules called microRNAs (miRNAs) (post-transcriptional regulators of mRNA expression). The related research field is quite heterogeneous and bioinformaticians, clinicians, statisticians and biologists, as well as data miners and engineers collaborate to cure stored data and on new impulses coming from the output of the latest Next Generation Sequencing technologies. Here we review the main research findings on miRNA of the first 10 years in colon cancer research with an emphasis on possible uses in clinical practice. This review intends to provide a road map in the jungle of publications of miRNA in colorectal cancer, focusing on data availability and new ways to generate biologically relevant information out of these huge amounts of data.

Forensic intelligence for medicine anti-counterfeiting

Medicine counterfeiting is a crime that has increased in recent years and now involves the whole world. Health and economic repercussions have led pharmaceutical industries and agencies to develop many measures to protect genuine medicines and differentiate them from counterfeits. Detecting counterfeit is chemically relatively simple for the specialists, but much more information can be gained from the analyses in a forensic intelligence perspective. Analytical data can feed criminal investigation and law enforcement by detecting and understanding the criminal phenomenon. Profiling seizures using chemical and packaging data constitutes a strong way to detect organised production and industrialised forms of criminality, and is the focus of this paper. Thirty-three seizures of a commonly counterfeited type of capsule have been studied. The results of the packaging and chemical analyses were gathered within an organised database. Strong linkage was found between the seizures at the different production steps, indicating the presence of a main counterfeit network dominating the market. The interpretation of the links with circumstantial data provided information about the production and the distribution of counterfeits coming from this network. This forensic intelligence perspective has the potential to be generalised to other types of products. This may be the only reliable approach to help the understanding of the organised crime phenomenon behind counterfeiting and to enable efficient strategic and operational decision making in an attempt to dismantle counterfeit network.

On the use of IRMS in forensic science: proposals for a methodological approach

The flourishing number of publications on the use of isotope ratio mass spectrometry (IRMS) in forensic science denotes the enthusiasm and the attraction generated by this technology. IRMS has demonstrated its potential to distinguish chemically identical compounds coming from different sources. Despite the numerous applications of IRMS to a wide range of forensic materials, its implementation in a forensic framework is less straightforward than it appears. In addition, each laboratory has developed its own strategy of analysis on calibration, sequence design, standards utilisation and data treatment without a clear consensus.Through the experience acquired from research undertaken in different forensic fields, we propose a methodological framework of the whole process using IRMS methods. We emphasize the importance of considering isotopic results as part of a whole approach, when applying this technology to a particular forensic issue. The process is divided into six different steps, which should be considered for a thoughtful and relevant application. The dissection of this process into fundamental steps, further detailed, enables a better understanding of the essential, though not exhaustive, factors that have to be considered in order to obtain results of quality and sufficiently robust to proceed to retrospective analyses or interlaboratory comparisons.

Impact de la chirurgie bariatrique sur la santé et la qualité de vie du patient obèse [Impact of bariatric surgery on health and quality life of obese patients]

The important weight loss due to bariatric surgery allows to improve and even correct, a great part of the comorbidities induced by obesity, as well as quality of life, and to reduce the coming out of cardiovascular and metabolic diseases in operated patients. The impact of surgical treatment on the patient's health and quality of life also allows to reduce direct and indirect costs of morbid obesity. However, its effects on mortality have not yet been clearly proved. The preoperative evaluation and the long term follow-up by a skilled team are essential to reduce potential complications, especially on the nutritional field and the risks of recovered weight linked to binge eating disorders.

Perspectives for Forensic Intelligence in anti-doping: Thinking outside of the box.

Today's approach to anti-doping is mostly centered on the judicial process, despite pursuing a further goal in the detection, reduction, solving and/or prevention of doping. Similarly to decision-making in the area of law enforcement feeding on Forensic Intelligence, anti-doping might significantly benefit from a more extensive gathering of knowledge. Forensic Intelligence might bring a broader logical dimension to the interpretation of data on doping activities for a more future-oriented and comprehensive approach instead of the traditional case-based and reactive process. Information coming from a variety of sources related to doping, whether directly or potentially, would feed an organized memory to provide real time intelligence on the size, seriousness and evolution of the phenomenon. Due to the complexity of doping, integrating analytical chemical results and longitudinal monitoring of biomarkers with physiological, epidemiological, sociological or circumstantial information might provide a logical framework enabling fit for purpose decision-making. Therefore, Anti-Doping Intelligence might prove efficient at providing a more proactive response to any potential or emerging doping phenomenon or to address existing problems with innovative actions or/and policies. This approach might prove useful to detect, neutralize, disrupt and/or prevent organized doping or the trafficking of doping agents, as well as helping to refine the targeting of athletes or teams. In addition, such an intelligence-led methodology would serve to address doping offenses in the absence of adverse analytical chemical evidence.

Mult-class differentiation of cannabis seedlings in a forensic context

This article presents an experimental study about the classification ability of several classifiers for multi-classclassification of cannabis seedlings. As the cultivation of drug type cannabis is forbidden in Switzerland lawenforcement authorities regularly ask forensic laboratories to determinate the chemotype of a seized cannabisplant and then to conclude if the plantation is legal or not. This classification is mainly performed when theplant is mature as required by the EU official protocol and then the classification of cannabis seedlings is a timeconsuming and costly procedure. A previous study made by the authors has investigated this problematic [1]and showed that it is possible to differentiate between drug type (illegal) and fibre type (legal) cannabis at anearly stage of growth using gas chromatography interfaced with mass spectrometry (GC-MS) based on therelative proportions of eight major leaf compounds. The aims of the present work are on one hand to continueformer work and to optimize the methodology for the discrimination of drug- and fibre type cannabisdeveloped in the previous study and on the other hand to investigate the possibility to predict illegal cannabisvarieties. Seven classifiers for differentiating between cannabis seedlings are evaluated in this paper, namelyLinear Discriminant Analysis (LDA), Partial Least Squares Discriminant Analysis (PLS-DA), Nearest NeighbourClassification (NNC), Learning Vector Quantization (LVQ), Radial Basis Function Support Vector Machines(RBF SVMs), Random Forest (RF) and Artificial Neural Networks (ANN). The performance of each method wasassessed using the same analytical dataset that consists of 861 samples split into drug- and fibre type cannabiswith drug type cannabis being made up of 12 varieties (i.e. 12 classes). The results show that linear classifiersare not able to manage the distribution of classes in which some overlap areas exist for both classificationproblems. Unlike linear classifiers, NNC and RBF SVMs best differentiate cannabis samples both for 2-class and12-class classifications with average classification results up to 99% and 98%, respectively. Furthermore, RBFSVMs correctly classified into drug type cannabis the independent validation set, which consists of cannabisplants coming from police seizures. In forensic case work this study shows that the discrimination betweencannabis samples at an early stage of growth is possible with fairly high classification performance fordiscriminating between cannabis chemotypes or between drug type cannabis varieties.

Les règles n'ont plus la cote: une question de contraception ou de choix [To bleed or not--a new dogma or a real choice in contraception?]

On en parle ! Il est question de la suppression des règles par l'administration de contraceptifs oestro-progestatifs (pilule, patch ou anneau vaginal) en cycles longs (cycles prolongés ; cycles étendus ; extended cycles) entraînant des périodes d'aménorrhée, rythmées par des intervalles libres de sept jours sans administration hormonale. L'indication à ce mode de prescription est presque unanimement reconnue pour le traitement des pathologies bénéficiant de la suppression des règles et des fluctuations hormonales inhérentes à l'activité ovarienne. Ce traitement suscite cependant également de l'intérêt pour une indication du type mode de vie. Les modalités thérapeutiques, les avantages et inconvénients sont examinés à la lumière de l'attente des femmes et de leur droit au choix éclairé et libre. Let's talk about it ! Suppression of menstruation, by extending the duration of contraceptives containing estro-progestins (oral contraception, patch or vaginal ring) to long cycles, is a new approach in the field of contraception. These extended cycles aim at obtaining prolonged amenorrhea, interrupted periodically by a free interval of 7 days without hormone intake and thus causing breakthrough bleeding. Pathologies, which are supposed to get some benefit from the suppression of menstruation and of hormone level variations related to ovarian activity, are widely recognized as an indication. Some interest is also coming up for so called life style indications. Treatment issues, advantages and disadvantages are examined in the light of women's expectations and right to access to informed consent and independent choice.

Videvdad 19 : édition critique, traduction et commentaires des textes avestique et moyen-perse

Notre travail porte sur le Videvdad, texte avestique nommé d'après unmot avestique Videvdad-data-, c'est-à-dire la « Un qui tient éloignés les demons ». Ce recueil comprend 22 chapitres édictant des lois religieuses, des préceptes rituels et des mesures de purification Ces prescriptions ont pour but de repousser l'impureté des elements purs de la création d'Ahura Mazda. Notre thèse est une édition du chapitre 19 de ce recueil complétée de sa traduction commentée. Ce chapitre raconte la tentation de Zarathustra par le Mauvais Esprit et sa victoire sur ce dernier Le texte a été traduit et commenté sémantiquement, phonétiquement et philologiquement afin d'en dégager les particularités linguistiques.L'édition de référence du texte avestique est celle de Geldner, qui date de la fin du 19 siècle Dans la mesure où il a été démontré durant ces dernières années quil fallait revoir ce travail, nous avons fait une édition du texte en collationnant 13 manuscits. Notre étude nous a permis à la fois de proposer pour certains termes une autre lecture que celle de Geldner et decontinuer les recherches sur la filiation des manuscrits.De plus le texte avestique a été mis en regard de la version pehlevie. L'intérêt de cette dernière traduction réside dans ses gloses : parfois un long commentaire parfois une simple énonciation de synonymes en pehlevie. le traducteur lui-même comprenant mal le sens du mot original. L'édition du texte pehlevi a également été refaite à partir des deux manuscrits lesplus anciens (L4 et Kl).Videvdad 19 :Critical Edition, Translation and Commentary of the Avestan and Pahlavi TextsWe worked on the Videvdad, an Avestan text whose title is a Middle Persian word coming from the Avestan Videvdad-data- "the law that keeps demons away" This anthology contains 22 chapters dealing with religious laws, ritual precepts and measures of purification. These prescriptions aim ft rejecting impurity from pure elements in Ahura Mazda's creation. Our dissertation is an edition and translation with commentary of chapter 19 of this anthology. lt relates the temptation of Zarathustra by the Bad Evil and how Zarathustra overcame him. The text was translated and annotated semantically, phonetically and philologically to highlight linguistic features.Until today, Geldner's edition, which dates back to the end of the 19th century has been the edition of reference. However, in recent years, scholars have shown that this edition must be revised Therefore, we prepared an edition of the Avestan text by collating 13 manuscripts. This work led us to propose new readings for several words and pursue research onmanuscripts filiation.Furthermore, we also studied the Middle Persian text. This translation is interesting in that it contains glosses that can either be long commentaries or simple synonyms. We also made the edition of the Middle Persian text on the basis of the two oldest manuscripts (L4 and Kl).

Estimation of jump-diffusion processes via empirical characteristic functions

Preface The starting point for this work and eventually the subject of the whole thesis was the question: how to estimate parameters of the affine stochastic volatility jump-diffusion models. These models are very important for contingent claim pricing. Their major advantage, availability T of analytical solutions for characteristic functions, made them the models of choice for many theoretical constructions and practical applications. At the same time, estimation of parameters of stochastic volatility jump-diffusion models is not a straightforward task. The problem is coming from the variance process, which is non-observable. There are several estimation methodologies that deal with estimation problems of latent variables. One appeared to be particularly interesting. It proposes the estimator that in contrast to the other methods requires neither discretization nor simulation of the process: the Continuous Empirical Characteristic function estimator (EGF) based on the unconditional characteristic function. However, the procedure was derived only for the stochastic volatility models without jumps. Thus, it has become the subject of my research. This thesis consists of three parts. Each one is written as independent and self contained article. At the same time, questions that are answered by the second and third parts of this Work arise naturally from the issues investigated and results obtained in the first one. The first chapter is the theoretical foundation of the thesis. It proposes an estimation procedure for the stochastic volatility models with jumps both in the asset price and variance processes. The estimation procedure is based on the joint unconditional characteristic function for the stochastic process. The major analytical result of this part as well as of the whole thesis is the closed form expression for the joint unconditional characteristic function for the stochastic volatility jump-diffusion models. The empirical part of the chapter suggests that besides a stochastic volatility, jumps both in the mean and the volatility equation are relevant for modelling returns of the S&P500 index, which has been chosen as a general representative of the stock asset class. Hence, the next question is: what jump process to use to model returns of the S&P500. The decision about the jump process in the framework of the affine jump- diffusion models boils down to defining the intensity of the compound Poisson process, a constant or some function of state variables, and to choosing the distribution of the jump size. While the jump in the variance process is usually assumed to be exponential, there are at least three distributions of the jump size which are currently used for the asset log-prices: normal, exponential and double exponential. The second part of this thesis shows that normal jumps in the asset log-returns should be used if we are to model S&P500 index by a stochastic volatility jump-diffusion model. This is a surprising result. Exponential distribution has fatter tails and for this reason either exponential or double exponential jump size was expected to provide the best it of the stochastic volatility jump-diffusion models to the data. The idea of testing the efficiency of the Continuous ECF estimator on the simulated data has already appeared when the first estimation results of the first chapter were obtained. In the absence of a benchmark or any ground for comparison it is unreasonable to be sure that our parameter estimates and the true parameters of the models coincide. The conclusion of the second chapter provides one more reason to do that kind of test. Thus, the third part of this thesis concentrates on the estimation of parameters of stochastic volatility jump- diffusion models on the basis of the asset price time-series simulated from various "true" parameter sets. The goal is to show that the Continuous ECF estimator based on the joint unconditional characteristic function is capable of finding the true parameters. And, the third chapter proves that our estimator indeed has the ability to do so. Once it is clear that the Continuous ECF estimator based on the unconditional characteristic function is working, the next question does not wait to appear. The question is whether the computation effort can be reduced without affecting the efficiency of the estimator, or whether the efficiency of the estimator can be improved without dramatically increasing the computational burden. The efficiency of the Continuous ECF estimator depends on the number of dimensions of the joint unconditional characteristic function which is used for its construction. Theoretically, the more dimensions there are, the more efficient is the estimation procedure. In practice, however, this relationship is not so straightforward due to the increasing computational difficulties. The second chapter, for example, in addition to the choice of the jump process, discusses the possibility of using the marginal, i.e. one-dimensional, unconditional characteristic function in the estimation instead of the joint, bi-dimensional, unconditional characteristic function. As result, the preference for one or the other depends on the model to be estimated. Thus, the computational effort can be reduced in some cases without affecting the efficiency of the estimator. The improvement of the estimator s efficiency by increasing its dimensionality faces more difficulties. The third chapter of this thesis, in addition to what was discussed above, compares the performance of the estimators with bi- and three-dimensional unconditional characteristic functions on the simulated data. It shows that the theoretical efficiency of the Continuous ECF estimator based on the three-dimensional unconditional characteristic function is not attainable in practice, at least for the moment, due to the limitations on the computer power and optimization toolboxes available to the general public. Thus, the Continuous ECF estimator based on the joint, bi-dimensional, unconditional characteristic function has all the reasons to exist and to be used for the estimation of parameters of the stochastic volatility jump-diffusion models.