Doublecortin-positive cells in the adult primate cerebral cortex and possible role in brain plasticity and development.

We have demonstrated that cortical cell autografts might be a useful therapy in two monkey models of neurological disease: motor cortex lesion and Parkinson's disease. However, the origin of the useful transplanted cells obtained from cortical biopsies is not clear. In this report we describe the expression of doublecortin (DCX) in these cells based on reverse-transcription polymerase chain reaction (RT-PCR) and immunodetection in the adult primate cortex and cell cultures. The results showed that DCX-positive cells were present in the whole primate cerebral cortex and also expressed glial and/or neuronal markers such as glial fibrillary protein (GFAP) or neuronal nuclei (NeuN). We also demonstrated that only DCX/GFAP positive cells were able to proliferate and originate progenitor cells in vitro. We hypothesize that these DCX-positive cells in vivo have a role in cortical plasticity and brain reaction to injury. Moreover, in vitro these DCX-positive cells have the potential to reacquire progenitor characteristics that confirm their potential for brain repair.

Retinal degeneration progression changes lentiviral vector cell targeting in the retina

Ce travail de thèse a été réalisé au sein de l'Unité de Thérapie Génique et Biologie des Cellules Souches de l'Hôpital Jules- Gonin dans le Service d'Ophtalmologie de l'Université de Lausanne. Ce laboratoire recherche des solutions thérapeutiques pour des maladies dégénératives et incurables de la rétine comme les rétinites pigmentaires (RP). Ayant déjà montré certains résultats dans le domaine, la thérapie génique a été notre outil pour ce travail. Cette méthode se base sur le principe de remplacer un gène déficient par sa copie normale, en transportant celle-ci au coeur même du noyau par un vecteur. Il existe à l'heure actuelle différents vecteurs. Un des plus efficaces est un vecteur viral non-réplicatif : le lentivirus, dérivé de HIV-1. Celui-ci a la capacité d'intégrer le génome de la cellule cible, lui conférant ainsi un nouveau matériel génétique. Notre but a été d'établir le tropisme du lentivirus dans une rétine en dégénérescence. Ce lentivirus est connu pour transduire efficacement les cellules de l'épithélium pigmentaire rétinien dans l'oeil adulte sain, ainsi que celles de la neurorétine, mais ce, uniquement durant le développement. On sait aussi que le vecteur lentiviral présente un tropisme différent selon les enveloppes dont il est muni ; par exemple, le lentivirus avec une enveloppe Mokola est connu pour transduire les cellules gliales du système nerveux central. La rétine qui dégénère montre quant à elle des changements de sa structure qui pourraient influencer la diffusion du vecteur et/ou son tropisme. Le postulat de base a été le suivant : chez l'adulte, la transduction des neurones de la rétine via le lentivirus pourrait être facilitée par l'altération de la membrane limitante externe induite par la dégénérescence (meilleure pénétrance du virus). D'un point de vue technique, nous avons utilisé deux types distincts de modèles murins de dégénérescence rétinienne : des souris Balb/C soumises à une dose toxique de lumière et les souris Rhodopsin knockout, animaux génétiquement modifiés. Comme vecteur viral, nous avons employé deux différents pseudotypes de lentivirus (caractérisés par les enveloppes virales) avec différents promoteurs (séquence d'ADN qui initie la transduction et confère la spécificité d'expression d'un gène). En changeant l'enveloppe et le promoteur, nous avons essayé de trouver la meilleure combinaison pour augmenter l'affinité du vecteur vis-à-vis des photorécepteurs d'abord, puis vis-à-vis d'autres cellules de la rétine. Nos résultats ont montré que la membrane limitante externe est effectivement altérée chez les deux modèles de dégénérescence, mais que cette modification ne favorise pas la transduction des photorécepteurs lorsqu'on utilise un vecteur lentiviral contenant une enveloppe VSVG et un promoteur photorécepteur-spécifique ou ubiquitaire. En effet, une forte réaction gliale a été observée. Par contre, en utilisant le lentivirus avec une enveloppe Mokola et un promoteur ubiquitaire, nous avons constaté une très bonne transduction au niveau des cellules de Millier dans la rétine en dégénérescence, phénomène non observé chez les souris sauvages. Ce travail a donc permis de trouver un vecteur viral efficace pour atteindre et transduire les cellules de Miiller, ceci seulement pendant la dégénérescence de la rétine. Ces cellules, une fois transduites, pourraient être utilisées pour sécréter dans la rétine des agents thérapeutiques tels que des facteurs neurotrophiques pour soutenir la survie des photorécepteurs ou des facteurs anti-angiogéniques pour prévenir la néo-vascularisation lors de diabète ou de dégénérescence maculaire liée à l'âge. - In normal mice, the lentiviral vector (LV) is very efficient to target the RPE cells, but transduces retinal neurons well only during development. In the present study, the tropism of LV has been investigated in the degenerating retina of mice, knowing that the retina structure changes during degeneration. We postulated that the viral transduction would be increased by the alteration of the iuter limiting membrane (OLM). Two different LV pseudotypes were tested using the VSVG arid the Mokola envelopes, as well as two animal models of retinal degeneration: light-damaged Balb-C and Rhodopsin knockout (Rho-/-) mice. After light damage, the OLM is altered and no significant increase of the number of transduced photoreceptors can be obtained with a LV-VSVG-Rhop-GFP vector. In the Rho-/- mice, an altération of the OLM was also observed, but the possibility of transducing photoreceptors was decreased, probably by ongoing gliosis. The use of a ubiquitous promoter allows better photoreceptor transduction, suggesting that photoreceptór-specific promoter activity change during late stages of photoreceptor degeneration. However, the number of targeted photoreceptors remains low. In contrast, LV pseudotyped with the tfokola envelope allows a wide dispersion of the ctor into the retina (corresponding to the injection bleb) with preferential targeting of Muller cells, a situation Mc\ does ot occur in the wild- type retina. Mokola-pseudotyped lentiviral vectors may serve to engineer these glial cells to deliver secreted therapeutic factors to a diseased area of the retina.

Low-dose angiostatic tyrosine kinase inhibitors improve photodynamic therapy for cancer: lack of vascular normalization.

Photodynamic therapy (PDT) is an effective clinical treatment for a number of different cancers. PDT can induce hypoxia and inflammation, pro-angiogenic side effects, which may counteract its angio-occlusive mechanism. The combination of PDT with anti-angiogenic drugs offers a possibility for improved anti-tumour outcome. We used two tumour models to test the effects of the clinically approved angiostatic tyrosine kinase inhibitors sunitinib, sorafenib and axitinib in combination with PDT, and compared these results with the effects of bevacizumab, the anti-VEGF antibody, for the improvement of PDT. Best results were obtained from the combination of PDT and low-dose axitinib or sorafenib. Molecular analysis by PCR revealed that PDT in combination with axitinib suppressed VEGFR-2 expression in tumour vasculature. Treatment with bevacizumab, although effective as monotherapy, did not improve PDT outcome. In order to test for tumour vessel normalization effects, axitinib was also applied prior to PDT. The absence of improved PDT outcome in these experiments, as well as the lack of increased oxygenation in axitinib-treated tumours, suggests that vascular normalization did not occur. The current data imply that there is a future for certain anti-angiogenic agents to further improve the efficacy of photodynamic anti-cancer therapy.

Study of a sialyltransferase ST3GAL6, in adipogenesis and obesity

RésuméL'obésité et les maladies métaboliques qui lui sont associées tels que le diabète ou les maladies cardiovasculaires ont un impact épidémiologique croissant. Ainsi, les mécanismes moléculaires se produisant dans le tissu adipeux en expansion font l'objet de nombreuses investigations. Dans ce contexte, nous nous sommes particulièrement intéressés à l'adipogénèse, le procédé permettant la formation d'adipocytes matures et fonctionnels. Le gène St3gal6 code pour une enzyme appelée β-galactosidase a2,3-sialyltransferase 6 et participant à la voie de glycosylation. Cette protéine appartient à la famille des a2,3- sialyltransferases dont la fonction principale est de transférer un acide sialique à l'extrémité de chaînes glycosidiques présentes sur les glycoprotéines et les glycolipides. Dans une précédente étude de transcriptomique réalisée chez la souris, St3gal6 a été décrit comme un gène dont l'expression est augmentée dans le tissu adipeux blanc d'animaux en surpoids et dont l'expression est normalisée après une perte de poids. Afin d'étudier le rôle potentiel de St3gal6 dans le développement du tissu adipeux, nous nous sommes intéressés à la régulation de son expression en cas d'obésité ainsi qu'à ses effets sur l'adipogénèse. Nous avons d'abord montré que St3gal6 s'exprime aussi bien dans le tissu adipeux blanc que dans le tissu adipeux brun. Puis nous avons confirmé dans deux différents modèles animaux que l'expression de St3gal6 dans le tissu adipeux était augmentée en cas d'obésité. Nous avons aussi observé in vitro une induction de St3gal6 dans des adipocytes traités par des cytokines pro-inflammatoires sécrétées dans le tissu adipeux d'individus obèses. Enfin, parmi les six membres que compte la famille des a2,3-sialyltransferases, St3gal6 est celui dont l'expression est la plus significativement induite en situation d'obésité. En outre, au cours de la différenciation des adipocytes blancs et bruns, l'expression de St3gal6 est augmentée et son inhibition réduit le potentiel de maturation des adipocytes qui accumulent moins de lipides. A l'inverse, la surexpression de St3gal6 dans des préadipocytes blancs augmente leur taux de différenciation in vitro; la formation de gouttelettes lipidiques et l'expression de genes spécifiques de l'adipocyte mature sont accrues. Enfin, le traitement d'adipocytes blancs in vitro avec un inhibiteur pharmacologique des a2,3-sialyltransferases ou une sialidase clivant les résidus sialylés montre qu'un défaut de a2,3-sialylation affectant les adipocytes diminue leur potentiel adipogénique. Par conséquent, ces résultats suggèrent que St3gal6 est impliqué dans la voie de différenciation des adipocytes et que cette a2,3-sialylation joue un rôle dans le remodelage du tissu adipeux induit par l'obésité.AbstractIn order to better understand molecular events occurring in obesity and leading to its associated complications, we were interested in the biology of adipose tissue and particularly in the study of adipogenesis, the process by which new mature adipocytes develop and accumulate lipids.The β-galactosidase a2,3-sialyltransferase 6 (St3gal6) gene encodes for an enzyme involved in post-translational protein glycosylation. Thereby, St3gal6 enzyme belongs to the a2,3sialyltransferase family whose function is to add sialic acids at outer position on glycosidic chain of glycoproteins or glycolipids. Previously, in mouse, St3gal6 has been described as a gene whose expression in white adipose tissue is increased in overweighted animals and normalized after weight loss. Therefore, we have assumed that St3gal6 may play a role in adipose tissue development and in tissue remodelling triggered by obesity. First we show that St3gal6 is expressed in white but also in brown adipose tissue. St3gal6 upregulation upon weight gain was confirmed in two mouse models of obesity namely diet- induced and genetically-induced obesity. We also report that St3gal6 is induced by pro¬inflammatory cytokines known to be oversecreted in adipose tissue during obesity. Furthermore, St3gal6 is the a2,3-sialyltransferase whose expression is more markedly induced in adipose tissue. In addition, we demonstrate that St3gl6 expression is progressively increased in late stages of white and brown adipogenesis while St3gal6 knockdown inhibits adipocyte differentiation in vitro. Conversely, St3gal6 overexpression in a white preadipocyte cell line increases lipid accumulation during differentiation process and enhances gene expression of mature white adipocyte markers. Finally, using an a2-3 sialyltransferase inhibitor and a sialidase treatment on white adipocyte cell line, we observe that a decreased a2,3-sialylation impairs adipocyte differentiation in vitro. Altogether, these result suggest that St3gal6 plays a role in adipogenesis and in tissue remodelling associated with obesity likely through its enzymatic activity of a2,3-sialylation. Thus, a2,3-sialylation appears as a novel pathway of interest whose precise molecular mechanisms remain to be elucidated in the context of adipose tissue development and adipocyte functions.

A further examination of the distinction between dependency-oriented and achievement-oriented parental psychological control: Psychometric properties of the DAPCS with French-speaking late adolescents

Psychological control refers to parental behaviors that intrude on the psychological and emotional development of the child. In 2010, Soenens and colleagues proposed a distinction between two domain-specific expressions of psychological control, that is, Dependency-oriented Psychological Control (DPC) and Achievement-oriented Psychological Control (APC). The aim of this study was to evaluate the factor structure, reliability, and convergent validity of the French form of the Dependency-oriented and Achievement-oriented Psychological Control Scale (DAPCS; Soenens, Vansteenkiste, and Luyten, 2010) in a sample of late adolescents (N = 291, mean age = 21.65). Confirmatory factor analyses confirmed the hypothesized two-factor solution of the DAPCS for paternal as well as for maternal ratings. Moreover, high indices of internal consistency indicated that both subscales produced reliable scores. Further, convergent validity was confirmed by theoretically consistent associations between the DAPCS' subscales and well-established assessments of general parenting style dimensions. Finally, results evidenced gender specific patterns supporting the relevance of domain differentiation in the assessment of psychological control. Overall, the results of this study indicated that the French form of the DAPCS might be a useful instrument to assess two domainspecific types of parental psychological control among French-speaking adolescents.

Anxiety and severity of illicit substance use in adolescence: Evaluating the mediating role of perceived coping styles

The purpose of this study was to examine whether coping styles (Active coping, Internal coping and Withdrawal coping) mediated the relationships between anxiety and severity of illicit substance use among a sample of 110 Swiss adolescents ages 12-19 (M=16.3, SD=1.66). The current study tested two competing models of anxiety on severity of illicit substance use. In the first model, we tested the direct effect of trait anxiety (STAI-Y anxiety score) on severity of illicit substance use (ADAD drug use severity rating), while in the second models we examined the mediating role of coping styles in the link between trait anxiety and severity of illicit substance use. Path models indicated that the associations between trait anxiety and severity of illicit substance use are partially mediated by active and withdrawal coping styles. Limitations of the findings and implications for prevention of substance use in adolescence are discussed.

Testing for multicointegration in panel data with common factors

The paper addresses the concept of multicointegration in panel data frame- work. The proposal builds upon the panel data cointegration procedures developed in Pedroni (2004), for which we compute the moments of the parametric statistics. When individuals are either cross-section independent or cross-section dependence can be re- moved by cross-section demeaning, our approach can be applied to the wider framework of mixed I(2) and I(1) stochastic processes analysis. The paper also deals with the issue of cross-section dependence using approximate common factor models. Finite sample performance is investigated through Monte Carlo simulations. Finally, we illustrate the use of the procedure investigating inventories, sales and production relationship for a panel of US industries.

Testing for multicointegration in panel data with common factors

The paper addresses the concept of multicointegration in panel data frame- work. The proposal builds upon the panel data cointegration procedures developed in Pedroni (2004), for which we compute the moments of the parametric statistics. When individuals are either cross-section independent or cross-section dependence can be re- moved by cross-section demeaning, our approach can be applied to the wider framework of mixed I(2) and I(1) stochastic processes analysis. The paper also deals with the issue of cross-section dependence using approximate common factor models. Finite sample performance is investigated through Monte Carlo simulations. Finally, we illustrate the use of the procedure investigating inventories, sales and production relationship for a panel of US industries.

On making causal claims: A review and recommendations

Social scientists often estimate models from correlational data, where the independent variable has not been exogenously manipulated; they also make implicit or explicit causal claims based on these models. When can these claims be made? We answer this question by first discussing design and estimation conditions under which model estimates can be interpreted, using the randomized experiment as the gold standard. We show how endogeneity--which includes omitted variables, omitted selection, simultaneity, common methods bias, and measurement error--renders estimates causally uninterpretable. Second, we present methods that allow researchers to test causal claims in situations where randomization is not possible or when causal interpretation is confounded, including fixed-effects panel, sample selection, instrumental variable, regression discontinuity, and difference-in-differences models. Third, we take stock of the methodological rigor with which causal claims are being made in a social sciences discipline by reviewing a representative sample of 110 articles on leadership published in the previous 10 years in top-tier journals. Our key finding is that researchers fail to address at least 66 % and up to 90 % of design and estimation conditions that make causal claims invalid. We conclude by offering 10 suggestions on how to improve non-experimental research.

Estudi de l'estat de Salut autopercebut: Modelització de l'índex d'utilitat EQ-5D mitjançant un model tobit

Objective: Health status measures usually have an asymmetric distribution and present a highpercentage of respondents with the best possible score (ceiling effect), specially when they areassessed in the overall population. Different methods to model this type of variables have beenproposed that take into account the ceiling effect: the tobit models, the Censored Least AbsoluteDeviations (CLAD) models or the two-part models, among others. The objective of this workwas to describe the tobit model, and compare it with the Ordinary Least Squares (OLS) model,that ignores the ceiling effect.Methods: Two different data sets have been used in order to compare both models: a) real datacomming from the European Study of Mental Disorders (ESEMeD), in order to model theEQ5D index, one of the measures of utilities most commonly used for the evaluation of healthstatus; and b) data obtained from simulation. Cross-validation was used to compare thepredicted values of the tobit model and the OLS models. The following estimators werecompared: the percentage of absolute error (R1), the percentage of squared error (R2), the MeanSquared Error (MSE) and the Mean Absolute Prediction Error (MAPE). Different datasets werecreated for different values of the error variance and different percentages of individuals withceiling effect. The estimations of the coefficients, the percentage of explained variance and theplots of residuals versus predicted values obtained under each model were compared.Results: With regard to the results of the ESEMeD study, the predicted values obtained with theOLS model and those obtained with the tobit models were very similar. The regressioncoefficients of the linear model were consistently smaller than those from the tobit model. In thesimulation study, we observed that when the error variance was small (s=1), the tobit modelpresented unbiased estimations of the coefficients and accurate predicted values, specially whenthe percentage of individuals wiht the highest possible score was small. However, when theerrror variance was greater (s=10 or s=20), the percentage of explained variance for the tobitmodel and the predicted values were more similar to those obtained with an OLS model.Conclusions: The proportion of variability accounted for the models and the percentage ofindividuals with the highest possible score have an important effect in the performance of thetobit model in comparison with the linear model.

Growth of unstable interfaces in disordered media

The effects of a disordered medium in the growth of unstable interfaces are studied by means of two local models with multiplicative and additive quenched disorder, respectively. For short times and large pushing the multiplicative quenched disorder is equivalent to a time-dependent noise. In this regime, the linear dispersion relation contains a destabilizing contribution introduced by the noise. For long times, the interface always gets pinned. We model the systematics of the pinned shapes by means of an effective nonlinear model. These results show good agreement with numerical simulations. For the additive noise we find numerically that a depinning transition occurs.

Numerical simulation of gel electrophoresis of DNA knots in weak and strong electric fields.

Gel electrophoresis allows one to separate knotted DNA (nicked circular) of equal length according to the knot type. At low electric fields, complex knots, being more compact, drift faster than simpler knots. Recent experiments have shown that the drift velocity dependence on the knot type is inverted when changing from low to high electric fields. We present a computer simulation on a lattice of a closed, knotted, charged DNA chain drifting in an external electric field in a topologically restricted medium. Using a Monte Carlo algorithm, the dependence of the electrophoretic migration of the DNA molecules on the knot type and on the electric field intensity is investigated. The results are in qualitative and quantitative agreement with electrophoretic experiments done under conditions of low and high electric fields.

Stochastic processes induced by dichotomous markov noise: Some exact dynamical results

Stochastic processes defined by a general Langevin equation of motion where the noise is the non-Gaussian dichotomous Markov noise are studied. A non-FokkerPlanck master differential equation is deduced for the probability density of these processes. Two different models are exactly solved. In the second one, a nonequilibrium bimodal distribution induced by the noise is observed for a critical value of its correlation time. Critical slowing down does not appear in this point but in another one.

Measurement Errors Should Always Be Incorporated in Phylogenetic Comparative Analysis

The evolution of continuous traits is the central component of comparative analyses in phylogenetics, and the comparison of alternative models of trait evolution has greatly improved our understanding of the mechanisms driving phenotypic differentiation. Several factors influence the comparison of models, and we explore the effects of random errors in trait measurement on the accuracy of model selection. We simulate trait data under a Brownian motion model (BM) and introduce different magnitudes of random measurement error. We then evaluate the resulting statistical support for this model against two alternative models: Ornstein-Uhlenbeck (OU) and accelerating/decelerating rates (ACDC). Our analyses show that even small measurement errors (10%) consistently bias model selection towards erroneous rejection of BM in favour of more parameter-rich models (most frequently the OU model). Fortunately, methods that explicitly incorporate measurement errors in phylogenetic analyses considerably improve the accuracy of model selection. Our results call for caution in interpreting the results of model selection in comparative analyses, especially when complex models garner only modest additional support. Importantly, as measurement errors occur in most trait data sets, we suggest that estimation of measurement errors should always be performed during comparative analysis to reduce chances of misidentification of evolutionary processes.

Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data.

Microstructure imaging from diffusion magnetic resonance (MR) data represents an invaluable tool to study non-invasively the morphology of tissues and to provide a biological insight into their microstructural organization. In recent years, a variety of biophysical models have been proposed to associate particular patterns observed in the measured signal with specific microstructural properties of the neuronal tissue, such as axon diameter and fiber density. Despite very appealing results showing that the estimated microstructure indices agree very well with histological examinations, existing techniques require computationally very expensive non-linear procedures to fit the models to the data which, in practice, demand the use of powerful computer clusters for large-scale applications. In this work, we present a general framework for Accelerated Microstructure Imaging via Convex Optimization (AMICO) and show how to re-formulate this class of techniques as convenient linear systems which, then, can be efficiently solved using very fast algorithms. We demonstrate this linearization of the fitting problem for two specific models, i.e. ActiveAx and NODDI, providing a very attractive alternative for parameter estimation in those techniques; however, the AMICO framework is general and flexible enough to work also for the wider space of microstructure imaging methods. Results demonstrate that AMICO represents an effective means to accelerate the fit of existing techniques drastically (up to four orders of magnitude faster) while preserving accuracy and precision in the estimated model parameters (correlation above 0.9). We believe that the availability of such ultrafast algorithms will help to accelerate the spread of microstructure imaging to larger cohorts of patients and to study a wider spectrum of neurological disorders.