Le rôle de la méthylation de l’ADN dans les fonctions cérébrales fronto-limbiques et la réactivité au stress quotidien

La sérotonine (5-HT) joue un rôle crucial dans l'étiologie des troubles mentaux comme la dépression majeure, les troubles de comportement et les troubles anxieux. Des études ont montré que des altérations précoces du système 5-HT peuvent potentiellement influencer le développement du cerveau et le fonctionnement du système fronto-limbique, engendrant des conséquences pour la régulation émotionnelle. Il existe aussi des évidences que le stress précoce peut affecter la méthylation de l'ADN résultant d'une altération de l'expression génique. Toutefois, le lien entre la méthylation de l'ADN et la réactivité comportementale à des facteurs de stress de la vie quotidienne est inconnu. La méthylation du gène transporteur 5-HT (SLC6A4) est d'un intérêt particulier, étant donné le rôle de SLC6A4 dans le développement du cerveau, les troubles mentaux et la régulation du stress. L'objectif de cette thèse est d'étudier l'association entre (1) les niveaux périphériques de méthylation de l'ADN dans le gène SLC6A4 et les réponses neurales aux stimuli émotionnels dans les circuits fronto-limbiques du cerveau, ainsi qu’entre (2) la méthylation périphérique de SLC6A4 et la réactivité comportementale au stress de la vie quotidienne. Nous explorons également l'association entre les réponses neuronales fronto-limbique à des stimuli émotionnels et la réactivité comportementale au stress de la vie quotidienne (3). À cette fin, vingt-deux personnes (11 femmes) d’âge moyen de 34,0 ans (SD : 1,5) avec différents niveaux de méthylation au gène SLC6A4 ont été recrutés à partir de deux études longitudinales. Les participants ont subi une analyse IRMf qui comprenait une tâche de traitement émotionnel. Un questionnaire en ligne sur la réactivité au stress quotidien de la vie a été réalisé pendant 5 jours consécutifs. Des analyses corrélationnelles et de régression ont été effectuées pour examiner les associations entre les variables primaires. Les résultats préliminaires de cette étude ont montré que la méthylation de l'ADN est associée à la désactivation significative du gyrus précentral et gyrus fusiforme respectivement face à des stimuli de peur et de tristesse. Aucune association significative n'a été observée entre les niveaux de méthylation et l'activation de l'amygdale. En outre, les scores obtenus aux variables de stress de la vie quotidienne tels que la détresse chronique ont été associées à la désactivation du précuneus et du cortex cingulaire postérieur face à la tristesse. Ces résultats suggèrent l'implication potentielle des processus épigénétiques dans l'activation cérébrale spécifique et la sensibilité au stress de la vie courante.

Multiclass Classification of SRBCTs

A novel approach to multiclass tumor classification using Artificial Neural Networks (ANNs) was introduced in a recent paper cite{Khan2001}. The method successfully classified and diagnosed small, round blue cell tumors (SRBCTs) of childhood into four distinct categories, neuroblastoma (NB), rhabdomyosarcoma (RMS), non-Hodgkin lymphoma (NHL) and the Ewing family of tumors (EWS), using cDNA gene expression profiles of samples that included both tumor biopsy material and cell lines. We report that using an approach similar to the one reported by Yeang et al cite{Yeang2001}, i.e. multiclass classification by combining outputs of binary classifiers, we achieved equal accuracy with much fewer features. We report the performances of 3 binary classifiers (k-nearest neighbors (kNN), weighted-voting (WV), and support vector machines (SVM)) with 3 feature selection techniques (Golub's Signal to Noise (SN) ratios cite{Golub99}, Fisher scores (FSc) and Mukherjee's SVM feature selection (SVMFS))cite{Sayan98}.

Object and Scene Classification: what does a Supervised Approach Provide us?

Given a set of images of scenes containing different object categories (e.g. grass, roads) our objective is to discover these objects in each image, and to use this object occurrences to perform a scene classification (e.g. beach scene, mountain scene). We achieve this by using a supervised learning algorithm able to learn with few images to facilitate the user task. We use a probabilistic model to recognise the objects and further we classify the scene based on their object occurrences. Experimental results are shown and evaluated to prove the validity of our proposal. Object recognition performance is compared to the approaches of He et al. (2004) and Marti et al. (2001) using their own datasets. Furthermore an unsupervised method is implemented in order to evaluate the advantages and disadvantages of our supervised classification approach versus an unsupervised one

A Novel Breast Tissue Density Classification Methodology

It has been shown that the accuracy of mammographic abnormality detection methods is strongly dependent on the breast tissue characteristics, where a dense breast drastically reduces detection sensitivity. In addition, breast tissue density is widely accepted to be an important risk indicator for the development of breast cancer. Here, we describe the development of an automatic breast tissue classification methodology, which can be summarized in a number of distinct steps: 1) the segmentation of the breast area into fatty versus dense mammographic tissue; 2) the extraction of morphological and texture features from the segmented breast areas; and 3) the use of a Bayesian combination of a number of classifiers. The evaluation, based on a large number of cases from two different mammographic data sets, shows a strong correlation ( and 0.67 for the two data sets) between automatic and expert-based Breast Imaging Reporting and Data System mammographic density assessment

Le progrès technique chez Joan Robinson : un essai de systématisation et de formalisation

This paper deals with Joan Robinson's contributions to the issue of technical progress and her attempts of treating this subject in accordance to the Keynesian theory of employment and income distribution, mainly in the long run. This paper aims to review this aspect of her work and to establish a systematisation and a formalisation of her approach. At the same time the paper exposes the problems she faced - and did not always solve. Looking through her main contributions, the paper concludes that she used different criteria for the classification of innovations and that they depended on the specific situations described by the models in which she used the classification.

Decreasing the number of false positives in sequence classification

Abstract Background A large number of probabilistic models used in sequence analysis assign non-zero probability values to most input sequences. To decide when a given probability is sufficient the most common way is bayesian binary classification, where the probability of the model characterizing the sequence family of interest is compared to that of an alternative probability model. We can use as alternative model a null model. This is the scoring technique used by sequence analysis tools such as HMMER, SAM and INFERNAL. The most prevalent null models are position-independent residue distributions that include: the uniform distribution, genomic distribution, family-specific distribution and the target sequence distribution. This paper presents a study to evaluate the impact of the choice of a null model in the final result of classifications. In particular, we are interested in minimizing the number of false predictions in a classification. This is a crucial issue to reduce costs of biological validation. Results For all the tests, the target null model presented the lowest number of false positives, when using random sequences as a test. The study was performed in DNA sequences using GC content as the measure of content bias, but the results should be valid also for protein sequences. To broaden the application of the results, the study was performed using randomly generated sequences. Previous studies were performed on aminoacid sequences, using only one probabilistic model (HMM) and on a specific benchmark, and lack more general conclusions about the performance of null models. Finally, a benchmark test with P. falciparum confirmed these results. Conclusions Of the evaluated models the best suited for classification are the uniform model and the target model. However, the use of the uniform model presents a GC bias that can cause more false positives for candidate sequences with extreme compositional bias, a characteristic not described in previous studies. In these cases the target model is more dependable for biological validation due to its higher specificity.

"Evaluating the model of classification and valuation of disabilities used in Brazil and defining the elaboration and adoption of a unique model for all the country": Brazilian Interministerial Workgroup Task

The President of Brazil established an Interministerial Work Group in order to “evaluate the model of classification and valuation of disabilities used in Brazil and to define the elaboration and adoption of a unique model for all the country”. Eight Ministries and/or Secretaries participated in the discussion over a period of 10 months, concluding that a proposed model should be based on the United Nations Convention on the Rights of Person with Disabilities, the International Classification of Functioning, Disability and Health, and the ‘support theory’, and organizing a list of recommendations and necessary actions for a Classification, Evaluation and Certification Network with national coverage.

Predicting smear negative pulmonary tuberculosis with classification trees and logistic regression: a cross-sectional study

Abstract Background Smear negative pulmonary tuberculosis (SNPT) accounts for 30% of pulmonary tuberculosis cases reported yearly in Brazil. This study aimed to develop a prediction model for SNPT for outpatients in areas with scarce resources. Methods The study enrolled 551 patients with clinical-radiological suspicion of SNPT, in Rio de Janeiro, Brazil. The original data was divided into two equivalent samples for generation and validation of the prediction models. Symptoms, physical signs and chest X-rays were used for constructing logistic regression and classification and regression tree models. From the logistic regression, we generated a clinical and radiological prediction score. The area under the receiver operator characteristic curve, sensitivity, and specificity were used to evaluate the model's performance in both generation and validation samples. Results It was possible to generate predictive models for SNPT with sensitivity ranging from 64% to 71% and specificity ranging from 58% to 76%. Conclusion The results suggest that those models might be useful as screening tools for estimating the risk of SNPT, optimizing the utilization of more expensive tests, and avoiding costs of unnecessary anti-tuberculosis treatment. Those models might be cost-effective tools in a health care network with hierarchical distribution of scarce resources.

Salute orale del figlio disabile in età evolutiva e sintomatologia depressiva della madre

Relationships between oral health status in children with disability and their mothers’ depressive symptoms Aim. The purpose of the present study was to evaluate the relationships between oral health status in children with chronic medical conditions and their mothers’ depressive symptoms. Methods. Fifty-one children (25 male and 26 female, ranging from 2 to 18 years) affected by chronic systemic diseases followed at the Sant’Orsola-Malpighi Hospital in Bologna, ,and, were referred with their mothers at the Dental Department of Bologna. Children were subclassified in 3 groups according to the ASA classification and orally examined for hygiene status, gingival condition and dental caries. The indexes used were O’Leary plaque Index (PI), bleeding on probing index (BOP), dmft/DMFT. Mothers were interviewed on knowledge about oral diseases prevention for their children and daily management (hygiene habits, sugared aliments consumption). Statistical analysis was performed through the use of linear regression. Results. The relationships between ASA and IP as well as between ASA and BOP are statistically significant (α = 0,01). Seventy percent of patients and their relatives in ASA groups 3 and 4 never received information on oral health and prevention of oral diseases by paediatricians and/or dentists. The 53% of mothers present depressive symptoms. The relationships between degree of depressive symptoms and dmft/DMFt as well as between degree of depressive symptoms and sugared aliments daily consumption are statistically significant (α = 0,05). Conclusion. Our results give support to the hypothesis of an association between degree of systemic disease and oral hygiene status. The psychological mothers condition seams to play a role on the oral conditions of their sons. Our analysis shows the needs for an interdisciplinar approach in order to promote the oral health of children with disability.

Development of a new galaxy classification technique and its application to the zCOSMOS survey

The purpose of this Thesis is to develop a robust and powerful method to classify galaxies from large surveys, in order to establish and confirm the connections between the principal observational parameters of the galaxies (spectral features, colours, morphological indices), and help unveil the evolution of these parameters from $z \sim 1$ to the local Universe. Within the framework of zCOSMOS-bright survey, and making use of its large database of objects ($\sim 10\,000$ galaxies in the redshift range $0 < z \lesssim 1.2$) and its great reliability in redshift and spectral properties determinations, first we adopt and extend the \emph{classification cube method}, as developed by Mignoli et al. (2009), to exploit the bimodal properties of galaxies (spectral, photometric and morphologic) separately, and then combining together these three subclassifications. We use this classification method as a test for a newly devised statistical classification, based on Principal Component Analysis and Unsupervised Fuzzy Partition clustering method (PCA+UFP), which is able to define the galaxy population exploiting their natural global bimodality, considering simultaneously up to 8 different properties. The PCA+UFP analysis is a very powerful and robust tool to probe the nature and the evolution of galaxies in a survey. It allows to define with less uncertainties the classification of galaxies, adding the flexibility to be adapted to different parameters: being a fuzzy classification it avoids the problems due to a hard classification, such as the classification cube presented in the first part of the article. The PCA+UFP method can be easily applied to different datasets: it does not rely on the nature of the data and for this reason it can be successfully employed with others observables (magnitudes, colours) or derived properties (masses, luminosities, SFRs, etc.). The agreement between the two classification cluster definitions is very high. ``Early'' and ``late'' type galaxies are well defined by the spectral, photometric and morphological properties, both considering them in a separate way and then combining the classifications (classification cube) and treating them as a whole (PCA+UFP cluster analysis). Differences arise in the definition of outliers: the classification cube is much more sensitive to single measurement errors or misclassifications in one property than the PCA+UFP cluster analysis, in which errors are ``averaged out'' during the process. This method allowed us to behold the \emph{downsizing} effect taking place in the PC spaces: the migration between the blue cloud towards the red clump happens at higher redshifts for galaxies of larger mass. The determination of $M_{\mathrm{cross}}$ the transition mass is in significant agreement with others values in literature.

Mastocitosi cutanee: il mastocitoma in età pediatrica

Background: Mastocytosis is a rare disease involving mast cells (MC) and their CD34+ progenitors. According to the WHO consensus classification, cutaneous mastocytosis (CM) is considered a benign disease confined to the skin, preferentially seen in young children with a marked tendency to regress spontaneously. Aim of our study was the long-term assessment of the outcome of solitary (SM) and multiple (MM) mastocytomas in a pediatric population. Materials and methods: From January 1996 to December 2010, 241 pediatric patients with a diagnosis of CM were followed-up at the outpatient division of pediatric dermatology of the University of Bologna. We focused our retrospective evaluation on patients affected by SM or MM. We collected, through the analysis of medical records and with a telephone questionnaire for patients and their families, information on clinical aspects of the disease evolution and on the efficacy of topical steroid therapy. Results: Over the 241 considered patients we recorded: SM or MM in 176 (73%) pts., urticaria pigmentosa in 53 (22%) pts., telangiectasia macularis eruptiva perstans in 9 (4%) pts., diffuse CM in 2 (0,9%) pts. and polymorph CM in 1 (0,4%) pt. On 176 children affected by SM or MM (97 M vs. 79 F), 130 (74%) patients were followed-up with a mean of 56,3 (r. 4-142) months. A satisfactory outcome was recorded in 99 (76%) cases of whom 52 (53%) treated with topic steroids. Mean time to complete regression was 16.4 m. on treated patients vs. 34.7 m. on non treated patients (p=0,001). Conclusions: From our study emerged that resolution of the disease is independent from therapy, but the time to regression and to complete recovery of the coetaneous lesions is faster and favored by the application of topic steroid with an improvement of the quality of life for children and their families.

Interactions between selected photosensitizers and model membranes: an NMR classification

Membrane interactions of porphyrinic photosensitizers (PSs) are known to play a crucial role for PS efficiency in photodynamic therapy (PDT). In the current paper, the interactions between 15 different porphyrinic PSs with various hydrophilic/lipophilic properties and phospholipid bilayers were probed by NMR spectroscopy. Unilamellar vesicles consisting of dioleoyl-phosphatidyl-choline (DOPC) were used as membrane models. PS-membrane interactions were deduced from analysis of the main DOPC (1)H-NMR resonances (choline and lipid chain signals). Initial membrane adsorption of the PSs was indicated by induced changes to the DOPC choline signal, i.e. a split into inner and outer choline peaks. Based on this parameter, the PSs could be classified into two groups, Type-A PSs causing a split and the Type-B PSs causing no split. A further classification into two subgroups each, A1, A2 and B1, B2 was based on the observed time-dependent changes of the main DOPC NMR signals following initial PS adsorption. Four different time-correlated patterns were found indicating different levels and rates of PS penetration into the hydrophobic membrane interior. The type of interaction was mainly affected by the amphiphilicity and the overall lipophilicity of the applied PS structures. In conclusion, the NMR data provided valuable structural and dynamic insights into the PS-membrane interactions which allow deriving the structural constraints for high membrane affinity and high membrane penetration of a given PS. (C) 2011 Elsevier B.V. All rights reserved.

Salivary stones and stenosis. A comprehensive classification

INTRODUCTION: Sialendoscopy and sialoMRI enables diagnosis of salivary gland obstructive pathologies, such as lithiasis, stenosis, and dilatations. Therefore, a classification of these pathologies is needed, allowing large series comparisons, for better diagnosis and treatment of salivary pathologies. MATERIAL AND METHODS: With help from people from the European Sialendoscopy Training Center (ESTC), the results of sialographies, sialoMRI and sialendoscopies, a comprehensive classification of obstructive salivary pathologies is described, based on the absence or presence of lithiasis (L), stenosis (S), and dilatation (D) ("LSD" classification). DISCUSSION: It appears that a classification of salivary gland obstructive pathologies should be described. We hope it will be widely used and of course criticized to be improved and to compare the results of salivary gland diagnostic methods, such as sialography and sialendoscopy, and also the results and indications for salivary gland therapeutic methods, such as lithotripsy, sialendoscopy, and/or open surgery.

Linguista sum... sed lingua non definio. Absence de définition de la langue et circularité de la construction structurale

This article analyzes the Jakobsonian classification of aphasias. It aims to show on the one hand the non-linguistic character of this classification and on the other hand its asymmetry, in spite of the fact that its author had conceived his structural construction as symmetrical. The non-linguistic character of Jakobson’s formulation is due to the absence of any definition of language, this absence being the main characteristic of Jakobsonian linguistics: concerning the aphasia problem, the Jakobsonian formulation is linguistic solely by virtue of its object, aphasia, which is already considered as a linguistic concern because it belongs to the field of « language », but which is not defined as such (as linguistic). As for asymmetry, it demonstrates first the circularity of the Jakobsonian representation of language (the duality between structure and functioning), and secondly the non-linguistic character – in the Saussurean sense of the term – of the aphasia problem. Thus it appears that breaking (in the sense of Gaston Bachelard) with idiom is the prerequisite of a scientific apprehension of language, and therefore of any interdisciplinarity, this being one of Jakobson’s favorite topics but one that this linguist failed to render fruitful because he did not offer a real definition of language.

An analysis of two methods for the classification of stage of readiness to obtain repeat mammography screening

Background and purpose: Breast cancer continues to be a health problem for women, representing 28 percent of all female cancers and remaining one of the leading causes of death for women. Breast cancer incidence rates become substantial before the age of 50. After menopause, breast cancer incidence rates continue to increase with age creating a long-lasting source of concern (Harris et al., 1992). Mammography, a technique for the detection of breast tumors in their nonpalpable stage when they are most curable, has taken on considerable importance as a public health measure. The lifetime risk of breast cancer is approximately 1 in 9 and occurs over many decades. Recommendations are that screening be periodic in order to detect cancer at early stages. These recommendations, largely, are not followed. Not only are most women not getting regular mammograms, but this circumstance is particularly the case among older women where regular mammography has been proven to reduce mortality by approximately 30 percent. The purpose of this project was to increase our understanding of factors that are associated with stage of readiness to obtain subsequent mammograms. A secondary purpose of this research was to suggest further conceptual considerations toward the extension of the Transtheoretical Model (TTM) of behavior change to repeat screening mammography. ^ Methods. A sample (n = 1,222) of women 50 years and older in a large multi-specialty clinic in Houston, Texas was surveyed by mail questionnaire regarding their previous screening experience and stage of readiness to obtain repeat screening. A computerized database, maintained on all women who undergo mammography at the clinic, was used to identify women who are eligible for the project. The major statistical technique employed to select the significant variables and to examine the man and interaction effects of independent variables on dependent variables was polychotomous stepwise, logistic regression. A prediction model for each stage of readiness definition was estimated. The expected probabilities for stage of readiness were calculated to assess the magnitude and direction of significant predictors. ^ Results. Analysis showed that both ways of defining stage of readiness for obtaining a screening mammogram were associated with specific constructs, including decisional balance and processes of the change. ^ Conclusions. The results of the present study demonstrate that the TTM appears to translate to repeat mammography screening. Findings in the current study also support finding of previous studies that suggest that stage of readiness is associated with respondent decisional balance and the processes of change. ^