The phagocytosis of gas-filled microbubbles by human and murine antigen-presenting cells.

This study was designed to evaluate the potential of gas-filled microbubbles (MB) to be internalized by antigen-presenting cells (APC). Fluorescently labeled MB were prepared, thus permitting to track binding to, and internalization in, APC. Both human and mouse cells, including monocytes and dendritic cells (DC), prove capable to phagocyte MB in vitro. Observation by confocal laser scanning microscopy showed that interaction between MB and target cells resulted in a rapid internalization in cellular compartments and to a lesser extent in the cytoplasm. Capture of MB by APC resulted in phagolysosomal targeting as verified by double staining with anti-lysosome-associated membrane protein-1 monoclonal antibody and decrease of internalization by phagocytosis inhibitors. Fluorescent MB injected subcutaneously (s.c.) in mice were found to be associated with CD11c(+)DC in lymph nodes draining the injection sites 24 h after administration. Altogether, our study demonstrates that MB can successfully target APC both in vitro and in vivo, and thus may serve as a potent Ag delivery system without requirement for ultrasound-based sonoporation. This adds to the potential of applications of MB already extensively used for diagnostic imaging in humans.

Protein turnover, ureagenesis and gluconeogenesis.

The major processes discussed below are protein turnover (degradation and synthesis), degradation into urea, or conversion into glucose (gluconeogenesis, Figure 1). Daily protein turnover is a dynamic process characterized by a double flux of amino acids: the amino acids released by endogenous (body) protein breakdown can be reutilized and reconverted to protein synthesis, with very little loss. Daily rates of protein turnover in humans (300 to 400 g per day) are largely in excess of the level of protein intake (50 to 80 g per day). A fast growing rate, as in premature babies or in children recovering from malnutrition, leads to a high protein turnover rate and a high protein and energy requirement. Protein metabolism (synthesis and breakdown) is an energy-requiring process, dependent upon endogenous ATP supply. The contribution made by whole-body protein turnover to the resting metabolic rate is important: it represents about 20 % in adults and more in growing children. Metabolism of proteins cannot be disconnected from that of energy since energy balance influences net protein utilization, and since protein intake has an important effect on postprandial thermogenesis - more important than that of fats or carbohydrates. The metabolic need for amino acids is essentially to maintain stores of endogenous tissue proteins within an appropriate range, allowing protein homeostasis to be maintained. Thanks to a dynamic, free amino acid pool, this demand for amino acids can be continuously supplied. The size of the free amino acid pool remains limited and is regulated within narrow limits. The supply of amino acids to cover physiological needs can be derived from 3 sources: 1. Exogenous proteins that release amino acids after digestion and absorption 2. Tissue protein breakdown during protein turnover 3. De novo synthesis, including amino acids (as well as ammonia) derived from the process of urea salvage, following hydrolysis and microflora metabolism in the hind gut. When protein intake surpasses the physiological needs of amino acids, the excess amino acids are disposed of by three major processes: 1. Increased oxidation, with terminal end products such as CO₂ and ammonia 2. Enhanced ureagenesis i. e. synthesis of urea linked to protein oxidation eliminates the nitrogen radical 3. Gluconeogenesis, i. e. de novo synthesis of glucose. Most of the amino groups of the excess amino acids are converted into urea through the urea cycle, whereas their carbon skeletons are transformed into other intermediates, mostly glucose. This is one of the mechanisms, essential for life, developed by the body to maintain blood glucose within a narrow range, (i. e. glucose homeostasis). It includes the process of gluconeogenesis, i. e. de novo synthesis of glucose from non-glycogenic precursors; in particular certain specific amino acids (for example, alanine), as well as glycerol (derived from fat breakdown) and lactate (derived from muscles). The gluconeogenetic pathway progressively takes over when the supply of glucose from exogenous or endogenous sources (glycogenolysis) becomes insufficient. This process becomes vital during periods of metabolic stress, such as starvation.

Homicide-suicide cases in Switzerland and their impact on the Swiss Weapon Law.

Homicide followed by the suicide of the offender is a well-known phenomenon. In most cases, it takes place in the context of the so-called "family tragedies." A recent series of such family tragedies in Switzerland prompted an intensive debate in the media and the Swiss government concerning the Swiss Weapon Law, in particular the requirement to keep personal army weapons at home. The present study of Homicide-Suicide cases in Switzerland, thus focuses on the role played by guns, especially military weapons, in such crimes. We investigated retrospectively 75 cases of Homicide-Suicide, comprising 172 individuals and spanning a period of 23 years in western and central Switzerland. Our results show that if guns were used in 76% of the cases, army weapons were the cause of death in 25% of the total. In 28% of the deaths caused by a gunshot, the exact type of the gun and its origin could not be determined. Thus, the majority of Homicide-Suicide cases in Switzerland involve the use of guns. The exact percentage of cases were military weapons were involved could not be defined. In our opinion, a stricter weapons law, restricting access to firearms, would be a factor of prevention of Homicide- Suicide cases in Switzerland.

Treating the individual hypertensive patient: considerations on dose, sequential monotherapy and drug combinations.

For the general practitioner to be able to prescribe optimal therapy to his individual hypertensive patients, he needs accurate information on the therapeutic agents he is going to administer and practical treatment strategies. The information on drugs and drug combinations has to be applicable to the treatment of individual patients and not just patient study groups. A basic requirement is knowledge of the dose-response relationship for each compound in order to choose the optimal therapeutic dose. Contrary to general assumption, this key information is difficult to obtain and often not available to the physician for many years after marketing of a drug. As a consequence, excessive doses are often used. Furthermore, the physician needs comparative data on the various antihypertensive drugs that are applicable to the treatment of individual patients. In order to minimize potential side effects due to unnecessary combinations of compounds, the strategy of sequential monotherapy is proposed, with the goal of treating as many patients as possible with monotherapy at optimal doses. More drug trials of a crossover design and more individualized analyses of the results are badly needed to provide the physician with information that he can use in his daily practice. In this time of continuous intensive development of new antihypertensive agents, much could be gained in enhanced efficacy and reduced incidence of side effects by taking a closer look at the drugs already available and using them more appropriately in individual patients.

Integrated methodologies to study human transcriptional regulation from functional genomics data

Abstract : The human body is composed of a huge number of cells acting together in a concerted manner. The current understanding is that proteins perform most of the necessary activities in keeping a cell alive. The DNA, on the other hand, stores the information on how to produce the different proteins in the genome. Regulating gene transcription is the first important step that can thus affect the life of a cell, modify its functions and its responses to the environment. Regulation is a complex operation that involves specialized proteins, the transcription factors. Transcription factors (TFs) can bind to DNA and activate the processes leading to the expression of genes into new proteins. Errors in this process may lead to diseases. In particular, some transcription factors have been associated with a lethal pathological state, commonly known as cancer, associated with uncontrolled cellular proliferation, invasiveness of healthy tissues and abnormal responses to stimuli. Understanding cancer-related regulatory programs is a difficult task, often involving several TFs interacting together and influencing each other's activity. This Thesis presents new computational methodologies to study gene regulation. In addition we present applications of our methods to the understanding of cancer-related regulatory programs. The understanding of transcriptional regulation is a major challenge. We address this difficult question combining computational approaches with large collections of heterogeneous experimental data. In detail, we design signal processing tools to recover transcription factors binding sites on the DNA from genome-wide surveys like chromatin immunoprecipitation assays on tiling arrays (ChIP-chip). We then use the localization about the binding of TFs to explain expression levels of regulated genes. In this way we identify a regulatory synergy between two TFs, the oncogene C-MYC and SP1. C-MYC and SP1 bind preferentially at promoters and when SP1 binds next to C-NIYC on the DNA, the nearby gene is strongly expressed. The association between the two TFs at promoters is reflected by the binding sites conservation across mammals, by the permissive underlying chromatin states 'it represents an important control mechanism involved in cellular proliferation, thereby involved in cancer. Secondly, we identify the characteristics of TF estrogen receptor alpha (hERa) target genes and we study the influence of hERa in regulating transcription. hERa, upon hormone estrogen signaling, binds to DNA to regulate transcription of its targets in concert with its co-factors. To overcome the scarce experimental data about the binding sites of other TFs that may interact with hERa, we conduct in silico analysis of the sequences underlying the ChIP sites using the collection of position weight matrices (PWMs) of hERa partners, TFs FOXA1 and SP1. We combine ChIP-chip and ChIP-paired-end-diTags (ChIP-pet) data about hERa binding on DNA with the sequence information to explain gene expression levels in a large collection of cancer tissue samples and also on studies about the response of cells to estrogen. We confirm that hERa binding sites are distributed anywhere on the genome. However, we distinguish between binding sites near promoters and binding sites along the transcripts. The first group shows weak binding of hERa and high occurrence of SP1 motifs, in particular near estrogen responsive genes. The second group shows strong binding of hERa and significant correlation between the number of binding sites along a gene and the strength of gene induction in presence of estrogen. Some binding sites of the second group also show presence of FOXA1, but the role of this TF still needs to be investigated. Different mechanisms have been proposed to explain hERa-mediated induction of gene expression. Our work supports the model of hERa activating gene expression from distal binding sites by interacting with promoter bound TFs, like SP1. hERa has been associated with survival rates of breast cancer patients, though explanatory models are still incomplete: this result is important to better understand how hERa can control gene expression. Thirdly, we address the difficult question of regulatory network inference. We tackle this problem analyzing time-series of biological measurements such as quantification of mRNA levels or protein concentrations. Our approach uses the well-established penalized linear regression models where we impose sparseness on the connectivity of the regulatory network. We extend this method enforcing the coherence of the regulatory dependencies: a TF must coherently behave as an activator, or a repressor on all its targets. This requirement is implemented as constraints on the signs of the regressed coefficients in the penalized linear regression model. Our approach is better at reconstructing meaningful biological networks than previous methods based on penalized regression. The method is tested on the DREAM2 challenge of reconstructing a five-genes/TFs regulatory network obtaining the best performance in the "undirected signed excitatory" category. Thus, these bioinformatics methods, which are reliable, interpretable and fast enough to cover large biological dataset, have enabled us to better understand gene regulation in humans.

Involvement of the RasGAP derived fragment N in the resistance of pancreatic beta cells towards apoptosis

RESUME DESTINE AUX NON SCIENTIFIQUESLe diabète est une maladie associée à un excès de glucose (sucre) dans le sang. Le taux de glucose sanguin augmente lorsque l'action d'une hormone, l'insuline, responsable du transport du glucose du sang vers les tissus de l'organisme diminue, ou lorsque les quantités d'insuline à disposition sont inadéquates.L'une des causes communes entre les deux grands types de diabète connus, le type 1 et le type 2, est la disparition des cellules beta du pancréas, spécialisées dans la sécrétion d'insuline, par mort cellulaire programmée aussi appelée apoptose. Alors que dans le diabète de type 1, la destruction des cellules beta est causée par notre propre système immunitaire, dans le diabète de type 2, la mort de ces cellules, est principalement causée par des concentrations élevées de graisses saturés ou de molécules impliquées dans l'inflammation que l'on rencontre en quantités augmentées chez les personnes obèses. Etant donné l'augmentation épidémique du nombre de personnes obèses de par le monde, on estime que le nombre de personnes diabétiques (dont une majorité sont des diabétiques de type 2), va passer de 171 million en l'an 2000, à 366 million en l'an 2030, expliquant la nécessité absolue de mettre au point de nouvelles stratégies thérapeutique pour combattre cette maladie.L'apoptose est un processus complexe dont la dérégulation induit de nombreuses affections allant du cancer jusqu'au diabète. L'activation de caspase 3, une protéine clé contrôlant la mort cellulaire, était connue pour systématiquement mener à la mort cellulaire programmée. Ces dernières années, notre laboratoire a décrit des mécanismes de survie qui sont activés par caspase 3 et qui expliquent sans doute pourquoi son activation ne mène pas systématiquement à la mort cellulaire. Lorsqu'elle est faiblement activée, caspase 3 clive une autre protéine appelée RasGAP en deux protéines plus courtes dont l'une, appelée le fragment Ν a la particularité de protéger les cellules contre l'apoptose.Durant ma thèse, j'ai été impliqué dans divers projets destinés à mieux comprendre comment le fragment Ν protégeait les cellules contre l'apoptose et à savoir s'il pouvait être utilisé comme outil thérapeutique dans les conditions de survenue d'un diabète expérimental. C'est dans ce but que nous avons créé une souris transgénique, appelée RIP-N, exprimant le fragment Ν spécifiquement dans les cellules beta. Comme attendu, les cellules beta de ces souris étaient plus résistantes à la mort induite par des composés connus pour induire le diabète, comme certaines molécules induisant l'inflammation ou les graisses saturées. Nous avons ensuite pu montrer que les souris RIP-N étaient plus résistantes à la survenue d'un diabète expérimental que ce soit par l'injection d'une drogue induisant l'apoptose des cellules beta, que ce soit dans un fond génétique caractérisé par une attaque spontanée des cellules beta par le système immunitaire ou dans le contexte d'un diabète de type 2 induit par l'obésité. Dans plusieurs des modèles animaux étudiés, nous avons pu montrer que le fragment Ν protégeait les cellules en activant une voie protectrice bien connue impliquant successivement les protéines Ras, PI3K et Akt ainsi qu'en bloquant la capacité d'Akt d'activer le facteur NFKB, connu pour être délétère pour la survie de la cellule beta. La capacité qu'a le fragment Ν d'activer Akt tout en prévenant l'activation de NFKB par Akt est par conséquent particulièrement intéressante dans l'intégration des signaux régulant la mort cellulaire dans le contexte de la survenue d'un diabète.La perspective d'utiliser le fragment Ν comme outil thérapeutique dépendra de notre capacité à activer les signaux protecteurs induits par le fragment Ν depuis l'extérieur de la cellule ou de dériver des peptides perméables aux cellules possédant les propriétés du fragment N.2 SUMMARYDiabetes mellitus is an illness associated with excess blood glucose. Blood glucose levels raise when the action of insulin decreases or when insulin is provided in inappropriate amounts. In type 1 diabetes (T1D) as well as in type 2 diabetes (T2D), the insulin secreting beta cells in the pancreas undergo controlled cell death also called apoptosis. Whereas in T1D, beta cells are killed by the immune system, in T2D, they are killed by several factors, among which are increased blood glucose levels, increased levels of harmful lipids or pro-inflammatory cytokines that are released by the dysfunctional fat tissue of obese people. Given the epidemic increase in the number of obese people throughout the world, the number of diabetic people (a majority of which are type 2 diabetes) is estimated to rise from 171 million affected people in the year 2000 to 366 million in 2030 explaining the absolute requirement for new therapies to fight the disease.Apoptosis is a very complex process whose deregulation leads to a wide range of diseases going from cancer to diabetes. Caspase 3 although known as a key molecule controlling apoptosis, has been shown to have various other functions. In the past few years, our laboratory has described a survival mechanism, that takes place at low caspase activity and that might explain how cells that activate their caspases for reasons other than apoptosis survive. In such conditions, caspase 3 cleaves another protein called RasGAP into two shorter proteins, one of which, called fragment N, protects cells from apoptosis.We decided to check whether fragment Ν could be used as a therapeutical tool in the context of diabetes inducing conditions. We thus derived a transgenic mouse line, called RIP-N, in which the expression of fragment Ν is restricted to beta cells. As expected, the beta cells of these mice were more resistant ex-vivo to cell death induced by diabetes inducing factors. We then showed that the RIP-N transgenic mice were resistant to streptozotocin induced diabetes, a mouse model mimicking type 1 diabetes, which correlated to fewer number of apoptotic beta cells in the pancreas of the transgenic mice compared to their controls. The RIP-N transgene also delayed overt diabetes development in the NOD background, a mouse model of autoimmune type 1 diabetes, and delayed the occurrence of obesity induced hyperglycemia in a mouse model of type 2-like diabetes. Interestingly, fragment Ν was mediating its protection by activating the protective Akt kinase, and by blocking the detrimental NFKB factor. Our future ability to activate the protective signals elicited by fragment Ν from the outside of cells or to derive cell permeable peptides bearing the protective properties of fragment Ν might condition our ability to use this protein as a therapeutic tool.3 RESUMELe diabète est une maladie associée à un excès de glucose plasmatique. La glycémie augmente lorsque l'action de l'insuline diminue ou lorsque les quantités d'insuline à disposition sont inadéquates. Dans le diabète de type 1 (D1) comme dans le diabète de type 2 (D2), les cellules beta du pancréas subissent la mort cellulaire programmée aussi appelée apoptose. Alors que dans le D1 les cellules beta sont tuées par le système immunitaire, dans le D2 elles sont tuées par divers facteurs parmi lesquels on trouve des concentrations élevées de glucose, d'acides gras saturés ou de cytokines pro-inflammatoires qui sont sécrétées en concentrations augmentées par le tissu adipeux dysfonctionnel des personnes obèses. Etant donné l'augmentation épidémique du nombre de personnes obèses de par le monde, on estime que le nombre de personnes diabétiques (dont une majorité sont des diabétiques de type 2), va passer de 171 million en l'an 2000, à 366 million en l'an 2030, justifiant la nécessité absolue de mettre au point de nouvelles stratégies thérapeutique pour combattre cette maladie.L'apoptose est un processus complexe dont la dérégulation induit de nombreuses affections allant du cancer jusqu'au diabète. Caspase 3, bien que connue comme étant une protéine clé contrôlant l'apoptose a bien d'autres fonctions démontrées. Ces dernières années, notre laboratoire a décrit un mécanisme de survie qui est activé lorsque caspase 3 est faiblement activée et qui explique probablement comment des cellules qui ont activé leurs caspases pour une autre raison que l'apoptose peuvent survivre. Dans ces conditions, caspase 3 clive une autre protéine appelée RasGAP en deux protéines plus courtes dont l'une, appelée le fragment Ν a la particularité de protéger les cellules contre l'apoptose.Nous avons donc décidé de vérifier si le fragment Ν pouvait être utilisé comme outil thérapeutique dans les conditions de survenue d'un diabète expérimental. Pour se faire, nous avons créé une souris transgénique, appelée RIP-N, exprimant le fragment Ν spécifiquement dans les cellules beta. Comme attendu, les cellules beta de ces souris étaient plus résistantes ex-vivo à la mort induite par des facteurs pro-diabétogènes. Nous avons ensuite pu montrer que les souris RIP-N étaient plus résistantes à la survenue d'un diabète induit par la streptozotocine, un drogue mimant la survenue d'un D1 et que ceci était corrélée à une diminution du nombre de cellules en apoptose dans le pancréas des souris transgéniques comparé à leurs contrôles. L'expression du transgène a aussi eu pour effet de retarder la survenue d'un diabète franc dans le fond génétique NOD, un modèle génétique de diabète de type 1 auto-immun, ainsi que de retarder la survenue d'une hyperglycémie dans un modèle murin de diabète de type 2 induit par l'obésité. Dans plusieurs des modèles animaux étudiés, nous avons pu montrer que le fragment Ν protégeait les cellules en activant la kinase protectrice Akt ainsi qu'en bloquant le facteur délétère NFKB. La perspective d'utiliser le fragment Ν comme outil thérapeutique dépendra de notre capacité à activer les signaux protecteurs induits par le fragment Ν depuis l'extérieur de la cellule ou de dériver des peptides perméables aux cellules possédant les propriétés du fragment

Psychotropic drug-induced weight gain and other metabolic complications in a Swiss psychiatric population.

PURPOSE: To describe the weight gain-related side-effects of psychotropic drugs and their consequences on metabolic complications (hypercholesterolemia, obesity) in a Swiss cohort of psychiatric patients. METHOD: This cross-sectional observational study was performed in an out-patient psychiatric division with patients having received for more than 3 months the following drugs: clozapine, olanzapine, quetiapine, risperidone, lithium, and/or valproate. Clinical measures and lifestyle information (smoking behaviour, physical activity) were recorded. RESULTS: 196 inclusions were completed. Weight gain (≥10% of initial weight) following drug treatment was reported in 47% of these patients. Prevalence of obesity (BMI ≥ 30), hypercholesterolemia (≥6.2 mmol/L) and low HDL-cholesterol (<1.0 mmol/L in men, <1.3 mmol/L in women) were present in 38%, 21%, and 27% of patients, respectively. A higher standardised dose, an increase of appetite following medication introduction, the type of medication (clozapine or olanzapine > quetiapine or risperidone > lithium or valproate), and the gender were shown to be significantly associated with evolution of BMI. CONCLUSION: High prevalence of obesity and hypercholesterolemia was found in an out-patient psychiatric population and confirms drug-induced weight gain complications during long-term treatment. The results support the recently published recommendations of monitoring of metabolic side-effects during treatment with atypical antipsychotics. Moreover, the weight gain predictors found in the present study could help to highlight patients with special health care management requirement.

Optimal and continuous anaemia control in a cohort of dialysis patients in Switzerland.

BACKGROUND: Guidelines for the management of anaemia in patients with chronic kidney disease (CKD) recommend a minimal haemoglobin (Hb) target of 11 g/dL. Recent surveys indicate that this requirement is not met in many patients in Europe. In most studies, Hb is only assessed over a short-term period. The aim of this study was to examine the control of anaemia over a continuous long-term period in Switzerland. METHODS: A prospective multi-centre observational study was conducted in dialysed patients treated with recombinant human epoetin (EPO) beta, over a one-year follow-up period, with monthly assessments of anaemia parameters. RESULTS: Three hundred and fifty patients from 27 centres, representing 14% of the dialysis population in Switzerland, were included. Mean Hb was 11.9 +/- 1.0 g/dL, and remained stable over time. Eighty-five % of the patients achieved mean Hb &gt;or= 11 g/dL. Mean EPO dose was 155 +/- 118 IU/kg/week, being delivered mostly by subcutaneous route (64-71%). Mean serum ferritin and transferrin saturation were 435 +/- 253 microg/L and 30 +/- 11%, respectively. At month 12, adequate iron stores were found in 72.5% of patients, whereas absolute and functional iron deficiencies were observed in only 5.1% and 17.8%, respectively. Multivariate analysis showed that diabetes unexpectedly influenced Hb towards higher levels (12.1 +/- 0.9 g/dL; p = 0.02). One year survival was significantly higher in patients with Hb &gt;or= 11 g/dL than in those with Hb &lt;11 g/dL (19.7% vs 7.3%, p = 0.006). CONCLUSION: In comparison to European studies of reference, this survey shows a remarkable and continuous control of anaemia in Swiss dialysis centres. These results were reached through moderately high EPO doses, mostly given subcutaneously, and careful iron therapy management.

New perspectives in the use of ink evidence in forensic science : part III : operational applications and evaluation

The research reported in this series of article aimed at (1) automating the search of questioned ink specimens in ink reference collections and (2) at evaluating the strength of ink evidence in a transparent and balanced manner. These aims require that ink samples are analysed in an accurate and reproducible way and that they are compared in an objective and automated way. This latter requirement is due to the large number of comparisons that are necessary in both scenarios. A research programme was designed to (a) develop a standard methodology for analysing ink samples in a reproducible way, (b) comparing automatically and objectively ink samples and (c) evaluate the proposed methodology in forensic contexts. This report focuses on the last of the three stages of the research programme. The calibration and acquisition process and the mathematical comparison algorithms were described in previous papers [C. Neumann, P. Margot, New perspectives in the use of ink evidence in forensic science-Part I: Development of a quality assurance process for forensic ink analysis by HPTLC, Forensic Sci. Int. 185 (2009) 29-37; C. Neumann, P. Margot, New perspectives in the use of ink evidence in forensic science-Part II: Development and testing of mathematical algorithms for the automatic comparison of ink samples analysed by HPTLC, Forensic Sci. Int. 185 (2009) 38-50]. In this paper, the benefits and challenges of the proposed concepts are tested in two forensic contexts: (1) ink identification and (2) ink evidential value assessment. The results show that different algorithms are better suited for different tasks. This research shows that it is possible to build digital ink libraries using the most commonly used ink analytical technique, i.e. high-performance thin layer chromatography, despite its reputation of lacking reproducibility. More importantly, it is possible to assign evidential value to ink evidence in a transparent way using a probabilistic model. It is therefore possible to move away from the traditional subjective approach, which is entirely based on experts' opinion, and which is usually not very informative. While there is room for the improvement, this report demonstrates the significant gains obtained over the traditional subjective approach for the search of ink specimens in ink databases, and the interpretation of their evidential value.

A novel in vitro metabolomics approach for neurotoxicity testing, proof of principle for methyl mercury chloride and caffeine

There is a need for more efficient methods giving insight into the complex mechanisms of neurotoxicity. Testing strategies including in vitro methods have been proposed to comply with this requirement. With the present study we aimed to develop a novel in vitro approach which mimics in vivo complexity, detects neurotoxicity comprehensively, and provides mechanistic insight. For this purpose we combined rat primary re-aggregating brain cell cultures with a mass spectrometry (MS)-based metabolomics approach. For the proof of principle we treated developing re-aggregating brain cell cultures for 48h with the neurotoxicant methyl mercury chloride (0.1-100muM) and the brain stimulant caffeine (1-100muM) and acquired cellular metabolic profiles. To detect toxicant-induced metabolic alterations the profiles were analysed using commercial software which revealed patterns in the multi-parametric dataset by principal component analyses (PCA), and recognised the most significantly altered metabolites. PCA revealed concentration-dependent cluster formations for methyl mercury chloride (0.1-1muM), and treatment-dependent cluster formations for caffeine (1-100muM) at sub-cytotoxic concentrations. Four relevant metabolites responsible for the concentration-dependent alterations following methyl mercury chloride treatment could be identified using MS-MS fragmentation analysis. These were gamma-aminobutyric acid, choline, glutamine, creatine and spermine. Their respective mass ion intensities demonstrated metabolic alterations in line with the literature and suggest that the metabolites could be biomarkers for mechanisms of neurotoxicity or neuroprotection. In addition, we evaluated whether the approach could identify neurotoxic potential by testing eight compounds which have target organ toxicity in the liver, kidney or brain at sub-cytotoxic concentrations. PCA revealed cluster formations largely dependent on target organ toxicity indicating possible potential for the development of a neurotoxicity prediction model. With such results it could be useful to perform a validation study to determine the reliability, relevance and applicability of this approach to neurotoxicity screening. Thus, for the first time we show the benefits and utility of in vitro metabolomics to comprehensively detect neurotoxicity and to discover new biomarkers.

ER stress activates the NLRP3 inflammasome via an UPR-independent pathway.

Uncontrolled endoplasmic reticulum (ER) stress responses are proposed to contribute to the pathology of chronic inflammatory diseases such as type 2 diabetes or atherosclerosis. However, the connection between ER stress and inflammation remains largely unexplored. Here, we show that ER stress causes activation of the NLRP3 inflammasome, with subsequent release of the pro-inflammatory cytokine interleukin-1β. This ER-triggered proinflammatory signal shares the same requirement for reactive oxygen species production and potassium efflux compared with other known NLRP3 inflammasome activators, but is independent of the classical unfolded protein response (UPR). We thus propose that the NLRP3 inflammasome senses and responds to ER stress downstream of a previously uncharacterized ER stress response signaling pathway distinct from the UPR, thus providing mechanistic insight to the link between ER stress and chronic inflammatory diseases.

Postprandial thermogenesis at rest and during exercise in elderly men ingesting two levels of protein.

Seven elderly male subjects (69 +/- 3 yr, 67.8 +/- 9.2 kg, 24.5 +/- 3.6% body fat) lived for 12 consecutive weeks in a metabolic unit and maintained their weight with two different diets fed for 6 weeks each: Diet A, consisted of their habitual protein intake as determined on the outside by a dietary record (mean +/- SD, 1.12 +/- 0.22 g/kg d). Diet B was an isocaloric diet with reduced protein intake (70 mgN/kg d, i.e., 0.44 g protein/kg d) at the level of physiological protein requirement [7]. After 3 weeks on each diet, the thermogenic response to single meals A and B containing 38% of weight maintenance energy for each subject (731-994 kcal) was studied by indirect calorimetry under two situations: (1) at rest over a 4 hr period and (2) during graded exercise on a bicycle ergometer at four stepwise workloads (0,80, 200, and 300 kg/min). A postabsorptive control exercise was also performed in order to assess the net effect of the meal during exercise. Eating alone increased the energy expenditure by +0.18 +/- 0.07 kcal/min with meal A and +0.13 +/- 0.06 kcal/min with meal B. There was a positive correlation (r = 0.84, p less than 0.01) between the % energy derived from protein and the thermogenic response expressed as % of the energy content of test meal. Exercise failed to influence the thermogenic response to meals since the overall net increase in energy expenditure induced by the meals while exercising was not different from that obtained at rest: +0.22 +/- 0.17 kcal/min and +0.15 +/- 0.13 kcal/min with meal A and meal B, respectively. This study failed to show any interaction between exercise and postprandial thermogenesis in elderly individuals.

Molecular substitution rate increases in myrmecophilous lycaenid butterflies (Lepidoptera)

Is species diversification driven by neutral- or niche-based processes? Butterflies of the Lycaenidae family have developed mutualistic interactions with ants. This biotic requirement increased the spatial fragmentation of populations of lower effective population size (Ne) compared with autonomous species. The nearly neutral theory predicts that species with smaller Ne should fix more mutations because of the increased strength of drift. Taking into account the phylogenetic relatedness among species, this study shows that species with a stronger dependence on ants displayed more intra-specific Single Nucleotide Polymorphisms compared with species with low or no myrmecophily. This phenomenon can cause more pronounced genetic differentiation between populations and could ultimately promote speciation in a similar manner as on physical islands. The large species diversity observed in this family could be the consequence of this neutral process enhancing the diversification of lineages.

Decreased thermogenic response to an oral glucose load in older subjects.

The thermogenic response to a 100 g oral glucose load was studied by indirect calorimetry in 13 older persons (age range, 38-68 years) and compared with that of 16 young matched controls of similar body weight (age range, 19-30 years). The glucose-induced thermogenesis measured over 180 min and expressed as a per cent of the energy content of the glucose load was found to be reduced in the older subjects, i.e., 5.8 +/- 0.3 per cent vs 8.6 +/- 0.7 per cent, P less than 0.002). This was also accompanied by a significant decrease in the glucose oxidation rate when averaged over the same three-hour period following the glucose load, i.e., 153 mg/min vs 213 mg/min in the control subjects (P less than 0.001) despite a similar time course of glycemia. This study suggests that the thermogenic response to an oral glucose load is blunted in older people, and this may represent an additional factor that contributes to the decreased energy requirement with age and therefore to the increased propensity to obesity if energy intake is not adjusted.