A new selective peroxisome proliferator-activated receptor gamma antagonist with antiobesity and antidiabetic activity.

Peroxisome proliferator-activated receptor gamma (PPAR-gamma) plays a key role in adipocyte differentiation and insulin sensitivity. Its synthetic ligands, the thiazolidinediones (TZD), are used as insulin sensitizers in the treatment of type 2 diabetes. These compounds induce both adipocyte differentiation in cell culture models and promote weight gain in rodents and humans. Here, we report on the identification of a new synthetic PPARgamma antagonist, the phosphonophosphate SR-202, which inhibits both TZD-stimulated recruitment of the coactivator steroid receptor coactivator-1 and TZD-induced transcriptional activity of the receptor. In cell culture, SR-202 efficiently antagonizes hormone- and TZD-induced adipocyte differentiation. In vivo, decreasing PPARgamma activity, either by treatment with SR-202 or by invalidation of one allele of the PPARgamma gene, leads to a reduction of both high fat diet-induced adipocyte hypertrophy and insulin resistance. These effects are accompanied by a smaller size of the adipocytes and a reduction of TNFalpha and leptin secretion. Treatment with SR-202 also dramatically improves insulin sensitivity in the diabetic ob/ob mice. Thus, although we cannot exclude that its actions involve additional signaling mechanisms, SR-202 represents a new selective PPARgamma antagonist that is effective both in vitro and in vivo. Because it yields both antiobesity and antidiabetic effects, SR-202 may be a lead for new compounds to be used in the treatment of obesity and type 2 diabetes.

Thirteen years of surgical site infection surveillance in Swiss hospitals

Contexte : Les infections du site opératoire (Surgical Site Infections - SSI) sont des complications fréquentes des procédures chirurgicales et un problème majeur de la santé publique. La surveillance constitue un élément essentiel de la prévention des SSI. Les résultats publiés récemment par certains pays européens suggèrent un impact positif qu'un réseau de surveillance active peut avoir sur le taux de SSI dans les hôpitaux participants. Objectif : La présente étude évalue les effets de la surveillance sur l'incidence des SSI en analysant les résultats du programme suisse multicentrique de surveillance des SSI. Méthodes : L'étude porte sur les 13 premières années du programme, regroupant au total 23 hôpitaux périphériques, cantonaux et universitaires de la Suisse occidentale et du sud. Ce programme, qui a intégré le consortium national Swissnoso en 2011, a été organisé conformément aux principes du système américain de National Nosocomial Infections Surveillance (NNIS). La surveillance incluait les procédures de la chirurgie viscérale (appendicectomie, cholécystectomie, chirurgie du colon et herniaire) et de l'orthopédie (arthroplastie de la hanche et du genou). Les données démographiques et cliniques étaient recueillies de manière standardisée par les infirmières cliniciennes en infectiologie pendant et après l'hospitalisation. Les rapports annuels, résumant les taux des SSI pour chaque type de procédure ainsi que la comparaison inter-hospitalière des risques relatifs ajustés à l'index NNIS, ont été discutés au sein de chaque établissement entre le comité des chirurgiens et le responsable local du programme. Analyses statistiques : Les taux cumulatifs des SSI ont été calculés pour chaque procédure chirurgicale. Une stratification selon le type de SSI (superficielle, profonde, organe/espace) et selon l'index NNIS a été respectée. Les facteurs de risque des SSI ont été identifiés pour chaque procédure par les analyses univariées des caractéristiques du patient (âge, sexe, score ASA, temps avant l'opération) et celles de l'opération (classe de contamination, durée de la chirurgie, urgence, antibioprophylaxie, laparoscopie, procédures multiples, ré¬intervention). Afin d'évaluer l'effet de la durée de la surveillance sur le taux des SSI, le temps de participation au programme a été calculé et stratifié par périodes d'un an par hôpital et par procédure. La corrélation entre la durée de la surveillance et les SSI a été estimée en utilisant les modèles de régression logistique pour chaque procédure avec l'ajustement pour les variables avec p ^ 0.2. Dans toutes les analyses, la valeur p < 0.05 était considéré significative. Résultats : Les taux globaux des SSI étaient : 18.2% pour les colectomies, 6.4% pour les appendicectomies, 2.3% pour les cholécystectomies, 1.7% pour les cures des hernies et 1.6% et 1.3% pour les arthroplasties de la hanche et du genou, respectivement. L'incidence des SSI post-hospitalières allait du 21% pour les colectomies au 94% pour les arthroplasties du genou. Concernant les facteurs prédictifs des SSI, l'index NNIS était valable seulement pour la chirurgie gastro-intestinale, la laparoscopie étant globalement protectrice mais associée à un taux d'infections profondes plus élevé après l'appendicectomie. La durée de la participation au programme de surveillance n'apportait pas de diminution des taux des SSI dans aucune procédure incluse dans l'étude. Conclusions : L'étude confirme l'impact de la surveillance post-hospitalière sur le taux des SSI, l'effet protectrice de la laparoscopie ainsi que l'absence de la valeur prédictive de l'index NNIS en orthopédie. Contrairement aux autres programmes européens nous n'avons pas détecté d'effet positif de la durée de la surveillance sur le taux des SSI. Les résultats obtenus ouvrent la discussion sur l'utilisation plus effective des données de surveillance des SSI.

Molecular basis of selective PPARgamma modulation for the treatment of Type 2 diabetes.

Peroxisome proliferator-activated receptors (PPARs) (alpha, beta/delta and gamma) are lipid sensors capable of adapting gene expression to integrate various lipid signals. As such, PPARs are also very important pharmaceutical targets, and specific synthetic ligands exist for the different isotypes and are either currently used or hold promises in the treatment of major metabolic disorders. In particular, compounds of the class of the thiazolinediones (TZDs) are PPARgamma agonists and potent insulin-sensitizers. The specific but still broad expression patterns of PPARgamma, as well as its implication in numerous pathways, constitutes also a disadvantage regarding drug administration, since this potentially increases the chance to generate side-effects through the activation of the receptor in tissues or cells not affected by the disease. Actually, numerous side effects associated with the administration of TZDs have been reported. Today, a new generation of PPARgamma modulators is being actively developed to activate the receptor more specifically, in a cell and time-dependent manner, in order to induce a specific subset of target genes only and modulate a restricted number of metabolic pathways. We will discuss here why and how the development of such selective PPARgamma modulators is possible, and summarize the results obtained with the published molecules.

Tc-99m-MAA SPECT-derived tumor-to-normal liver ratios for partition model dosimetry in selective internal radiation therapy (SIRT)

Aim: When planning SIRT using 90Y microspheres, the partition model is used to refine the activity calculated by the body surface area (BSA) method to potentially improve the safety and efficacy of treatment. For this partition model dosimetry, accurate determination of mean tumor-to-normal liver ratio (TNR) is critical since it directly impacts absorbed dose estimates. This work aimed at developing and assessing a reliable methodology for the calculation of 99mTc-MAA SPECT/CT-derived TNR ratios based on phantom studies. Materials and methods: IQ NEMA (6 hot spheres) and Kyoto liver phantoms with different hot/background activity concentration ratios were imaged on a SPECT/CT (GE Infinia Hawkeye 4). For each reconstruction with the IQ phantom, TNR quantification was assessed in terms of relative recovery coefficients (RC) and image noise was evaluated in terms of coefficient of variation (COV) in the filled background. RCs were compared using OSEM with Hann, Butterworth and Gaussian filters, as well as FBP reconstruction algorithms. Regarding OSEM, RCs were assessed by varying different parameters independently, such as the number of iterations (i) and subsets (s) and the cut-off frequency of the filter (fc). The influence of the attenuation and diffusion corrections was also investigated. Furthermore, both 2D-ROIs and 3D-VOIs contouring were compared. For this purpose, dedicated Matlab© routines were developed in-house for automatic 2D-ROI/3D-VOI determination to reduce intra-user and intra-slice variability. Best reconstruction parameters and RCs obtained with the IQ phantom were used to recover corrected TNR in case of the Kyoto phantom for arbitrary hot-lesion size. In addition, we computed TNR volume histograms to better assess uptake heterogeneityResults: The highest RCs were obtained with OSEM (i=2, s=10) coupled with the Butterworth filter (fc=0.8). Indeed, we observed a global 20% RC improvement over other OSEM settings and a 50% increase as compared to the best FBP reconstruction. In any case, both attenuation and diffusion corrections must be applied, thus improving RC while preserving good image noise (COV<10%). Both 2D-ROI and 3D-VOI analysis lead to similar results. Nevertheless, we recommend using 3D-VOI since tumor uptake regions are intrinsically 3D. RC-corrected TNR values lie within 17% around the true value, substantially improving the evaluation of small volume (<15 mL) regions. Conclusions: This study reports the multi-parameter optimization of 99mTc MAA SPECT/CT images reconstruction in planning 90Y dosimetry for SIRT. In phantoms, accurate quantification of TNR was obtained using OSEM coupled with Butterworth and RC correction.

Geostatistical determination of heavy-metal distribution in a contaminated site - A case study

A two stage sampling strategy is necessary in order to optimize the study of distribution of pollution in soils and groundwater. First, detailed sampling from a limited area coupled with statistical analysis of the data are used to determine the microvariability of the parameter(s). The results from this detailed analysis are then used to calculate the optimal spacing between samples for the larger scale study. This two stage sampling strategy can result in significant financial savings during subsequent soil or groundwater remediation. This combined sampling and statistical analysis approach is illustrated with an example from a heavy metal contaminated site.

Site index curves for European aspen ( Populus tremula L.) growing on forest land of different soils in Sweden

Summary

Selective requirement for c-Myc at an early stage of V(alpha)14i NKT cell development.

Valpha14 invariant (Valpha14i) NKT cells are a subset of regulatory T cells that utilize a semi-invariant TCR to recognize glycolipids associated with monomorphic CD1d molecules. During development in the thymus, CD4(+)CD8(+) Valpha14i NKT precursors recognizing endogenous CD1d-associated glycolipids on other CD4(+)CD8(+) thymocytes are selected to undergo a maturation program involving sequential expression of CD44 and NK-related markers such as NK1.1. The molecular requirements for Valpha14i NKT cell maturation, particularly at early developmental stages, remain poorly understood. In this study, we show that CD4-Cre-mediated T cell-specific inactivation of c-Myc, a broadly expressed transcription factor with a wide range of biological activities, selectively impairs Valpha14i NKT cell development without perturbing the development of conventional T cells. In the absence of c-Myc, Valpha14i NKT cell precursors are blocked at an immature CD44(low)NK1.1(-) stage in a cell autonomous fashion. Residual c-Myc-deficient immature Valpha14i NKT cells appear to proliferate normally, cannot be rescued by transgenic expression of BCL-2, and exhibit characteristic features of immature Valpha14i NKT cells such as high levels of preformed IL-4 mRNA and the transcription factor promyelocytic leukemia zinc finger. Collectively our data identify c-Myc as a critical transcription factor that selectively acts early in Valpha14i NKT cell development to promote progression beyond the CD44(low)NK1.1(-) precursor stage.

The alarmin HMGB1 enhances CXCR4-induced activities by binding CXCL12

A variety of chemokines and inflammatory molecules are concomitantly produced at target sites of leukocyte trafficking and homing, accounting for the complex cellular responses occurring in homeostasis and inflammation. The chemokine CXCL12 plays an essential and unique role in homeostatic regulation of leukocyte traffic and tissue regeneration. The chromatin protein HMGB1 is released by dying and distressed cells, and acts as a Damage Associated Molecular Pattern or alarmin, promoting cell migration towards the site of tissue damage. We show here that HMGB1 synergises with CXCL12 by forming a heterocomplex that we characterized by NMR chemical shift mapping. The heterocomplex enhances CXCR4-induced responses on cells of the immune system, acting exclusively through the CXCL12 receptor CXCR4, and not through the HMGB1 receptors RAGE, TLR2 and TLR4. FRET analysis show that CXCL12 and CXCL12+HMGB1 promote a different conformational change in the homodimer CXCR4. The enhancement induced by HMGB1 on CXCL12-induced migration is selective, since little changes in migration of neutrophils and PreB 300.19-CCR2+ or -CCR7+ are observed towards CXCL8 and CCR2 or CCR7 agonists. HMGB1 also promotes CXCL 12 release, which is ultimately responsible for the chemoattractant activities of HMGB1. This study highlights the role of HMGB1 in promoting CXCL12-dependent cell migration, and suggests a cooperative role of these two molecules in tissue repair as well as in pathological conditions, such as rheumatoid arthritis.

One billion years of bZIP transcription factor evolution: conservation and change in dimerization and DNA-binding site specificity.

The genomic era has revealed that the large repertoire of observed animal phenotypes is dependent on changes in the expression patterns of a finite number of genes, which are mediated by a plethora of transcription factors (TFs) with distinct specificities. The dimerization of TFs can also increase the complexity of a genetic regulatory network manifold, by combining a small number of monomers into dimers with distinct functions. Therefore, studying the evolution of these dimerizing TFs is vital for understanding how complexity increased during animal evolution. We focus on the second largest family of dimerizing TFs, the basic-region leucine zipper (bZIP), and infer when it expanded and how bZIP DNA-binding and dimerization functions evolved during the major phases of animal evolution. Specifically, we classify the metazoan bZIPs into 19 families and confirm the ancient nature of at least 13 of these families, predating the split of the cnidaria. We observe fixation of a core dimerization network in the last common ancestor of protostomes-deuterostomes. This was followed by an expansion of the number of proteins in the network, but no major dimerization changes in interaction partners, during the emergence of vertebrates. In conclusion, the bZIPs are an excellent model with which to understand how DNA binding and protein interactions of TFs evolved during animal evolution.

La régulation des interdépendances entre la forêt et l'eau potable en France : études de cas sur le site du Mont Forchat : les cas des captages de Ramble et des Moises (projet Alpeau)

Ce working paper traite des règles prévues en France pour gérer les usages des forêts et de l'eau souterraine ainsi que leur interdépendance. En deuxième partie, deux études de cas (sur le Mont Forchat, Haute Savoie) montrent de quelle manière les règles prédéfinies sont mises en oeuvre et parviennent (ou pas) à protéger les captages d'eau souterraine. En troisième partie, une application du cadre d'analyse des régimes institutionnels des ressources (RIR) permet de discuter en profondeur des mécanismes institutionnels en oeuvre et des enjeux en présence dans le contexte français.

Simultaneous quantification of selective serotonin reuptake inhibitors and metabolites in human plasma by liquid chromatography-electrospray mass spectrometry for therapeutic drug monitoring.

A simple and sensitive liquid chromatography-electrospray ionization mass spectrometry method was developed for the simultaneous quantification in human plasma of all selective serotonin reuptake inhibitors (citalopram, fluoxetine, fluvoxamine, paroxetine and sertraline) and their main active metabolites (desmethyl-citalopram and norfluoxetine). A stable isotope-labeled internal standard was used for each analyte to compensate for the global method variability, including extraction and ionization variations. After sample (250μl) pre-treatment with acetonitrile (500μl) to precipitate proteins, a fast solid-phase extraction procedure was performed using mixed mode Oasis MCX 96-well plate. Chromatographic separation was achieved in less than 9.0min on a XBridge C18 column (2.1×100mm; 3.5μm) using a gradient of ammonium acetate (pH 8.1; 50mM) and acetonitrile as mobile phase at a flow rate of 0.3ml/min. The method was fully validated according to Société Française des Sciences et Techniques Pharmaceutiques protocols and the latest Food and Drug Administration guidelines. Six point calibration curves were used to cover a large concentration range of 1-500ng/ml for citalopram, desmethyl-citalopram, paroxetine and sertraline, 1-1000ng/ml for fluoxetine and fluvoxamine, and 2-1000ng/ml for norfluoxetine. Good quantitative performances were achieved in terms of trueness (84.2-109.6%), repeatability (0.9-14.6%) and intermediate precision (1.8-18.0%) in the entire assay range including the lower limit of quantification. Internal standard-normalized matrix effects were lower than 13%. The accuracy profiles (total error) were mainly included in the acceptance limits of ±30% for biological samples. The method was successfully applied for routine therapeutic drug monitoring of more than 1600 patient plasma samples over 9 months. The β-expectation tolerance intervals determined during the validation phase were coherent with the results of quality control samples analyzed during routine use. This method is therefore precise and suitable both for therapeutic drug monitoring and pharmacokinetic studies in most clinical laboratories.