A miR-34a-SIRT6 axis in the squamous cell differentiation network.

Squamous cell carcinomas (SCCs) are highly heterogeneous tumours, resulting from deranged expression of genes involved in squamous cell differentiation. Here we report that microRNA-34a (miR-34a) functions as a novel node in the squamous cell differentiation network, with SIRT6 as a critical target. miR-34a expression increases with keratinocyte differentiation, while it is suppressed in skin and oral SCCs, SCC cell lines, and aberrantly differentiating primary human keratinocytes (HKCs). Expression of this miRNA is restored in SCC cells, in parallel with differentiation, by reversion of genomic DNA methylation or wild-type p53 expression. In normal HKCs, the pro-differentiation effects of increased p53 activity or UVB exposure are miR-34a-dependent, and increased miR-34a levels are sufficient to induce differentiation of these cells both in vitro and in vivo. SIRT6, a sirtuin family member not previously connected with miR-34a function, is a direct target of this miRNA in HKCs, and SIRT6 down-modulation is sufficient to reproduce the miR-34a pro-differentiation effects. The findings are of likely biological significance, as SIRT6 is oppositely expressed to miR-34a in normal keratinocytes and keratinocyte-derived tumours.

Effectiveness of a low-intensity smoking cessation intervention for hospitalized patients

Résumé en français Contexte Les interventions intensives d'aide à l'arrêt de la cigarette en milieu hospitalier n'ont pas été adoptées à large échelle, peut-être en raison de barrières organisationnelles. Nous évaluons dans cette étude l'efficacité d'une approche moins contraignante. Méthodes Nous avons conçu et réalisé une étude de cohorte avec un groupe de contrôle historique dans le département de médecine d'un hôpital universitaire de 850 lits. Cent dix-sept fumeurs éligibles consécutifs ont bénéficié d'une intervention d'aide à l'arrêt de la cigarette et 113 fumeurs hospitalisés avant l'implémentation de cette intervention ont constitué notre groupe de contrôle. L'intervention d'aide à l'arrêt de la cigarette, d'une durée de 30 minutes, était réalisée par un médecin assistant formé en désaccoutumance au tabac, sans aucun contact ultérieur de suivi. Tous les patients ont ensuite reçu un questionnaire pour évaluer quelles étaient leurs habitudes en matière de tabagisme 6 mois après leur sortie d'hôpital. Nous avons considéré les patients perdus de vue comme fumeurs et l'abstinence tabagique ponctuelle (au moins 7 jours consécutifs) des ex-fumeurs a été validée par leur médecin traitant. Résultats Les taux d'arrêt de la cigarette validés étaient de 23.9% dans le groupe intervention et de 9.7% dans le groupe contrôle (odds ratio 2.9, intervalle de confiance à 95% [IC95] 1.4 à 6.2). Après ajustement pour les facteurs confondants potentiels, l'intervention était toujours efficace, avec un odds ratio ajusté de 2.7 (1095 = 1.0 à 5.0). Conclusion Une intervention d'aide à l'arrêt de la cigarette de faible intensité, sans contact de suivi, est associée avec un plus haut taux d'arrêt de la cigarette à 6 mois en comparaison avec un groupe de contrôle historique.

Inference about the number of contributors to a DNA mixture: Comparative analyses of a Bayesian network approach and the maximum allele count method.

In the forensic examination of DNA mixtures, the question of how to set the total number of contributors (N) presents a topic of ongoing interest. Part of the discussion gravitates around issues of bias, in particular when assessments of the number of contributors are not made prior to considering the genotypic configuration of potential donors. Further complication may stem from the observation that, in some cases, there may be numbers of contributors that are incompatible with the set of alleles seen in the profile of a mixed crime stain, given the genotype of a potential contributor. In such situations, procedures that take a single and fixed number contributors as their output can lead to inferential impasses. Assessing the number of contributors within a probabilistic framework can help avoiding such complication. Using elements of decision theory, this paper analyses two strategies for inference on the number of contributors. One procedure is deterministic and focuses on the minimum number of contributors required to 'explain' an observed set of alleles. The other procedure is probabilistic using Bayes' theorem and provides a probability distribution for a set of numbers of contributors, based on the set of observed alleles as well as their respective rates of occurrence. The discussion concentrates on mixed stains of varying quality (i.e., different numbers of loci for which genotyping information is available). A so-called qualitative interpretation is pursued since quantitative information such as peak area and height data are not taken into account. The competing procedures are compared using a standard scoring rule that penalizes the degree of divergence between a given agreed value for N, that is the number of contributors, and the actual value taken by N. Using only modest assumptions and a discussion with reference to a casework example, this paper reports on analyses using simulation techniques and graphical models (i.e., Bayesian networks) to point out that setting the number of contributors to a mixed crime stain in probabilistic terms is, for the conditions assumed in this study, preferable to a decision policy that uses categoric assumptions about N.

Effects of a lifestyle intervention on adiposity and fitness in overweight or low fit preschoolers (Ballabeina).

OBJECTIVE: Overweight (OW) and low fit children represent cardiovascular high-risk groups. A multidimensional school-based lifestyle intervention performed in 652 preschoolers reduced skinfold thickness and waist circumference, and improved fitness, but did not affect BMI. The objective of this study is to examine whether the intervention was equally effective in OW (≥90th national percentile) and/or low fit (lowest sex- and age-adjusted quartile of aerobic fitness) children compared to their normal weight and normal fit counterparts. DESIGN AND METHODS: Cluster randomized controlled single blinded trial, conducted in 2008/09 in 40 randomly selected preschool classes in Switzerland. The intervention included a playful physical activity program and lessons on nutrition, media use and sleeps. Primary outcomes were BMI and aerobic fitness; secondary outcomes included sum of four skinfolds, waist circumference and motor agility. Modification of intervention effects by BMI-group and fitness-group was tested by interaction terms. RESULTS: Compared to their counterparts, OW children (n = 130) had more beneficial effects on waist circumference (p for interaction = 0.001) and low fit children (n = 154) more beneficial effects on all adiposity outcomes (p for interaction ≤0.03). The intervention effects on both fitness outcomes were not modified by BMI- or fitness-group (all p for interaction ≥0.2). Average intervention effect sizes for BMI were -0.12, -0.05, -0.26 and -0.02 kg/m(2) and for aerobic fitness were 0.40, 0.30, 0.12 and 0.36 stages for OW, normal weight, low fit and normal fit children, respectively. Conclusions: This multidimensional intervention was equally and for some adiposity measures even more effective in high-risk preschoolers and represents a promising option for these children.

Additive functions in boolean models of gene regulatory network modules.

Gene-on-gene regulations are key components of every living organism. Dynamical abstract models of genetic regulatory networks help explain the genome's evolvability and robustness. These properties can be attributed to the structural topology of the graph formed by genes, as vertices, and regulatory interactions, as edges. Moreover, the actual gene interaction of each gene is believed to play a key role in the stability of the structure. With advances in biology, some effort was deployed to develop update functions in Boolean models that include recent knowledge. We combine real-life gene interaction networks with novel update functions in a Boolean model. We use two sub-networks of biological organisms, the yeast cell-cycle and the mouse embryonic stem cell, as topological support for our system. On these structures, we substitute the original random update functions by a novel threshold-based dynamic function in which the promoting and repressing effect of each interaction is considered. We use a third real-life regulatory network, along with its inferred Boolean update functions to validate the proposed update function. Results of this validation hint to increased biological plausibility of the threshold-based function. To investigate the dynamical behavior of this new model, we visualized the phase transition between order and chaos into the critical regime using Derrida plots. We complement the qualitative nature of Derrida plots with an alternative measure, the criticality distance, that also allows to discriminate between regimes in a quantitative way. Simulation on both real-life genetic regulatory networks show that there exists a set of parameters that allows the systems to operate in the critical region. This new model includes experimentally derived biological information and recent discoveries, which makes it potentially useful to guide experimental research. The update function confers additional realism to the model, while reducing the complexity and solution space, thus making it easier to investigate.

A neuron-glia signalling network in the active brain.

Glial cells are active partners of neurons in processing information and synaptic integration. They receive coded signals from synapses and elaborate modulatory responses. The active properties of glia, including long-range signalling and regulated transmitter release, are beginning to be elucidated. Recent insights suggest that the active brain should no longer be regarded as a circuitry of neuronal contacts, but as an integrated network of interactive neurons and glia.

Premier épisode thymique: cas particulier de l'intervention dans la phase précoce des troubles bipolaires [First episode of mood disorders: an opportunity for early intervention in bipolar disorders].

While early intervention strategies have been developed for psychotic disorders, affective psychoses and bipolar disorders have been neglected by this movement. However, when considering that outcome of bipolar disorders is often not as favorable as previously thought and that delay between illness onset and introduction of an adequate treatment is often very long, such developments seem clearly justified. In this paper we briefly review arguments supporting early intervention in bipolar disorders, the practical and theoretical obstacles that still need to be overcome, the strategies that may already now contribute to decrease treatment delay, and we describe current state of research regarding identification of the prodromal phase of bipolar disorders.

The potential of the European network of congenital anomaly registers (EUROCAT) for drug safety surveillance: a descriptive study.

BACKGROUND: European Surveillance of Congenital Anomalies (EUROCAT) is a network of population-based congenital anomaly registries in Europe surveying more than 1 million births per year, or 25% of the births in the European Union. This paper describes the potential of the EUROCAT collaboration for pharmacoepidemiology and drug safety surveillance. METHODS: The 34 full members and 6 associate members of the EUROCAT network were sent a questionnaire about their data sources on drug exposure and on drug coding. Available data on drug exposure during the first trimester available in the central EUROCAT database for the years 1996-2000 was summarised for 15 out of 25 responding full members. RESULTS: Of the 40 registries, 29 returned questionnaires (25 full and 4 associate members). Four of these registries do not collect data on maternal drug use. Of the full members, 15 registries use the EUROCAT drug code, 4 use the international ATC drug code, 3 registries use another coding system and 7 use a combination of these coding systems. Obstetric records are the most frequently used sources of drug information for the registries, followed by interviews with the mother. Only one registry uses pharmacy data. Percentages of cases with drug exposure (excluding vitamins/minerals) varied from 4.4% to 26.0% among different registries. The categories of drugs recorded varied widely between registries. CONCLUSIONS: Practices vary widely between registries regarding recording drug exposure information. EUROCAT has the potential to be an effective collaborative framework to contribute to post-marketing drug surveillance in relation to teratogenic effects, but work is needed to implement ATC drug coding more widely, and to diversify the sources of information used to determine drug exposure in each registry.