88 resultados para 341


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Non-target effects of biocontrol strains of Pseudomonas on the population of resident pseudomonads should be assessed prior to their large scale application in the environment. The rifampicin resistant bacterium P. fluorescens CHA0-Rif and its antibiotic overproducing derivative CHA0-Rif/pME3424 were introduced into soil microcosms and the population of resident pseudomonads colonizing cucumber roots was investigated after 10 and 52 days. Both CHA0-Rif and CHA0-Rif/pME3424 displaced a part of the resident pseudomonad population after 10 days. To investigate the population structure, utilization of 10 carbon sources and production of two exoenzymes was assessed for 5600 individual pseudomonad isolates and 1700 isolates were subjected to amplified ribosomal DNA restriction analysis of the spacer region (spacer-ARDRA). After 10 days, only the proportion of pseudomonads able to degrade -tryptophan was reduced in treatments inoculated with either biocontrol strain. In parallel the phenotypic diversity was reduced. These effects were only observed 10 days after inoculation, and they were similar for inoculation with CHA0-Rif and CHA0-Rif/pME3424. Changes in the population structure of resident pseudomonads on cucumber roots during plant growth were more pronounced than changes due to the inoculants. The inoculants did not affect the genotypic diversity detected with spacer-ARDRA, but the genotypic fingerprints corresponded only partially to the phenotypic profiles. Overall CHA0-Rif had a small and transient impact on the population of resident pseudomonads and the effect was essentially the same for the genetically engineered derivative CHA0-

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Aim. Several software packages (SWP) and models have been released for quantification of myocardial perfusion (MP). Although they all are validated against something, the question remains how well their values agree. The present analysis focused on cross-comparison of three SWP for MP quantification of 13N-ammonia PET studies. Materials & Methods. 48 rest and stress MP 13N-ammonia PET studies of hypertrophic cardiomyopathy (HCM) patients (Sciagrà et al., 2009) were analysed with three SW packages - Carimas, PMOD, and FlowQuant - by three observers blinded to the results of each other. All SWP implement the one-tissue-compartment model (1TCM, DeGrado et al. 1996), and first two - the two-tissue-compartment model (2TCM, Hutchins et al. 1990) as well. Linear mixed model for the repeated measures was fitted to the data. Where appropriate we used Bland-Altman plots as well. The reproducibility was assessed on global, regional and segmental levels. Intraclass correlation coefficients (ICC), differences between the SWPs and between models were obtained. ICC≥0.75 indicated excellent reproducibility, 0.4≤ICC<0.75 indicated fair to good reproducibility, ICC<0.4 - poor reproducibility (Rosner, 2010). Results. When 1TCM MP values were compared, the SW agreement on global and regional levels was excellent, except for Carimas vs. PMOD at RCA: ICC=0.715 and for PMOD vs. FlowQuant at LCX:ICC=0.745 which were good. In segmental analysis in five segments: 7,12,13, 16, and 17 the agreement between all SWP was excellent; in the remaining 12 segments the agreement varied between the compared SWP. Carimas showed excellent agreement with FlowQuant in 13 segments and good in four - 1, 5, 6, 11: 0.687≤ICCs≤0.73; Carimas had excellent agreement with PMOD in 11 segments, good in five_4, 9, 10, 14, 15: 0.682≤ICCs≤0.737, and poor in segment 3: ICC=0.341. PMOD had excellent agreement with FlowQuant in eight segments and substantial-to-good in nine_1, 2, 3, 5, 6,8-11: 0.585≤ICCs≤0.738. Agreement between Carimas and PMOD for 2TCM was good at a global level: ICC=0.745, excellent at LCX (0.780) and RCA (0.774), good at LAD (0.662); agreement was excellent for ten segments, fair-to-substantial for segments 2, 3, 8, 14, 15 (0.431≤ICCs≤0.681), poor for segments 4 (0.384) and 17 (0.278). Conclusions. The three SWP used by different operators to analyse 13N-ammonia PET MP studies provide results that agree well at a global level, regional levels, and mostly well even at a segmental level. Agreement is better for 1TCM. Poor agreement at segments 4 and 17 for 2TCM needs further clarification.

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The pathogenesis of infective endocarditis (IE) is being dissected at the molecular level, which should help redefine new preventive and therapeutic strategies against IE. In spite of improving health care, the incidence of IE has not decreased over the last decades. While classical predisposing conditions such as rheumatic heart disease were being eradicated, new features of IE have emerged. These include IE in intravenous drug users, IE in elderly patients with sclerotic valve disease, prosthetic valve IE and nosocomial IE. The epidemiology, pathogenesis, diagnosis, prevention and treatment of IE are being reviewed in this article.

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Raman spectroscopy combined with chemometrics has recently become a widespread technique for the analysis of pharmaceutical solid forms. The application presented in this paper is the investigation of counterfeit medicines. This increasingly serious issue involves networks that are an integral part of industrialized organized crime. Efficient analytical tools are consequently required to fight against it. Quick and reliable authentication means are needed to allow the deployment of measures from the company and the authorities. For this purpose a method in two steps has been implemented here. The first step enables the identification of pharmaceutical tablets and capsules and the detection of their counterfeits. A nonlinear classification method, the Support Vector Machines (SVM), is computed together with a correlation with the database and the detection of Active Pharmaceutical Ingredient (API) peaks in the suspect product. If a counterfeit is detected, the second step allows its chemical profiling among former counterfeits in a forensic intelligence perspective. For this second step a classification based on Principal Component Analysis (PCA) and correlation distance measurements is applied to the Raman spectra of the counterfeits.

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Genome-wide association studies (GWAS) are conducted with the promise to discover novel genetic variants associated with diverse traits. For most traits, associated markers individually explain just a modest fraction of the phenotypic variation, but their number can well be in the hundreds. We developed a maximum likelihood method that allows us to infer the distribution of associated variants even when many of them were missed by chance. Compared to previous approaches, the novelty of our method is that it (a) does not require having an independent (unbiased) estimate of the effect sizes; (b) makes use of the complete distribution of P-values while allowing for the false discovery rate; (c) takes into account allelic heterogeneity and the SNP pruning strategy. We applied our method to the latest GWAS meta-analysis results of the GIANT consortium. It revealed that while the explained variance of genome-wide (GW) significant SNPs is around 1% for waist-hip ratio (WHR), the observed P-values provide evidence for the existence of variants explaining 10% (CI=[8.5-11.5%]) of the phenotypic variance in total. Similarly, the total explained variance likely to exist for height is estimated to be 29% (CI=[28-30%]), three times higher than what the observed GW significant SNPs give rise to. This methodology also enables us to predict the benefit of future GWA studies that aim to reveal more associated genetic markers via increased sample size.

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Eosinophilic fasciitis is a rare condition. It is generally limited to the distal parts of the arms and legs. MRI is the ideal imaging modality for diagnosing and monitoring this condition. MRI findings typically evidence only fascial involvement but on a less regular basis signal abnormalities may be observed in neighboring muscle tissue and hypodermic fat. Differential diagnosis of eosinophilic fasciitis by MRI requires the exclusion of several other superficial and deep soft tissue disorders.

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An increased expression of nitric oxide synthase (NOS) has been observed in human colon carcinoma cell lines as well as in human gynecological, breast, and central nervous system tumors. This observation suggests a pathobiological role of tumor-associated NO production. Hence, we investigated NOS expression in human colon cancer in respect to tumor staging, NOS-expressing cell type(s), nitrotyrosine formation, inflammation, and vascular endothelial growth factor expression. Ca2+-dependent NOS activity was found in normal colon and in tumors but was significantly decreased in adenomas (P < 0.001) and carcinomas (Dukes' stages A-D: P < 0.002). Ca2+-independent NOS activity, indicating inducible NOS (NOS2), is markedly expressed in approximately 60% of human colon adenomas (P < 0.001 versus normal tissues) and in 20-25% of colon carcinomas (P < 0.01 versus normal tissues). Only low levels were found in the surrounding normal tissue. NOS2 activity decreased with increasing tumor stage (Dukes' A-D) and was lowest in colon metastases to liver and lung. NOS2 was detected in tissue mononuclear cells (TMCs), endothelium, and tumor epithelium. There was a statistically significant correlation between NOS2 enzymatic activity and the level of NOS2 protein detected by immunohistochemistry (P < 0.01). Western blot analysis of tumor extracts with Ca2+-independent NOS activity showed up to three distinct NOS2 protein bands at Mr 125,000-Mr 138,000. The same protein bands were heavily tyrosine-phosphorylated in some tumor tissues. TMCs, but not the tumor epithelium, were immunopositive using a polyclonal anti-nitrotyrosine antibody. However, only a subset of the NOS2-expressing TMCs stained positively for 3-nitrotyrosine, which is a marker for peroxynitrite formation. Furthermore, vascular endothelial growth factor expression was detected in adenomas expressing NOS2. These data are consistent with the hypothesis that excessive NO production by NOS2 may contribute to the pathogenesis of colon cancer progression at the transition of colon adenoma to carcinoma in situ.

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Si l'examen clinique revêt une importance essentielle en lymphologie et exige des praticiens expérimentés, la lymphoscintigraphie et plus récemment la lympho-fluoroscopie au vert d'indocyanine constituent des moyens d'investigation précieux dans la prévention, le diagnostic et le traitement des pathologies vasculaires lymphatiques. L'intérêt de la lymphoscintigraphie réside dans l'analyse qualitative et quantitative de la migration des macromolécules par les vaisseaux lymphatiques et l'évaluation du secteur lymphatique profond. La lympho-fluoroscopie se distingue de la lymphoscintigraphie par l'obtention d'une cartographie détaillée des vaisseaux lymphatiques superficiels et d'images dynamiques en temps réel. Elle apporte à l'angiologue et au physiothérapeute des informations irremplaçables sur leur contractilité et la présence de dérivations compensatoires à privilégier lors du drainage lymphatique manuel. Venous thromboembolism is a frequent disease with an annual incidence of 0.75-2.69/1000 reaching 2-7/1000 > 70 years. Deep vein thrombosis (DVT) and pulmonary embolism are two manifestations of the same underlying disease. Most frequent localization of DVT is at lower limbs. The diagnostic workup begins with an estimation of DVT risk, a judicious use of D-Dimers, and compression venous ultrasound depending on DVT probability. The development of direct oral anticoagulants and recent data on interventional DVT treatment, in selected cases, have widened the therapeutic spectrum of DVT. The present article aims at informing the primary care physician of the optimized workup of patients with lower limb suspicion of DVT.

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NOD-like receptors (NLR) are a family of cytosolic pattern recognition receptors that include many key drivers of innate immune responses. NLRP12 is an emerging member of the NLR family that is closely related to the well-known inflammasome scaffold, NLRP3. Since its discovery, various functions have been proposed for NLRP12, including the positive regulation of dendritic cell (DC) and neutrophil migration and the inhibition of NF-κB and ERK signalling in DC and macrophages. We show here that NLRP12 is poorly expressed in murine macrophages and DC, but is strongly expressed in neutrophils. Using myeloid cells from WT and Nlrp12(-/)(-) mice, we show that, contrary to previous reports, NLRP12 does not suppress LPS- or infection-induced NF-κB or ERK activation in myeloid cells, and is not required for DC migration in vitro. Surprisingly, we found that Nlrp12 deficiency caused increased rather than decreased neutrophil migration towards the chemokine CXCL1 and the neutrophil parasite Leishmania major, revealing NLRP12 as a negative regulator of directed neutrophil migration under these conditions.

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L'encéphalopathie post-anoxique après arrêt cardiaque (AC) est une cause féquente d'admission pour coma en réanimation. Depuis les recommandations de 2003, l'hypothermie thérapeutique (HT) est devenue un standard de traitement après AC et est à l'origine de l'amélioration du pronostic au cours de cette derniere décennie. Les élements prédicteurs de pronostic validés par l'Académie Américaine de Neurologie avant l'ère de l'HT sont devenus moins précis. En effet, l'HT et la sédation retardent la reprise de la réponse motrice et peuvent altérer la valeur prédictive des réflexes du tronc cérébral. Une nouvelle approche est nécessaire pour établir un pronostic après AC et HT. L'enregistrement (pendant l'HTou peu après) d'une activité électroencéphalographique réactive et/ou continue est un bon prédicteur de récupération neurologique favorable après AC. Au contraire, la présence d'un tracé non réactif ou discontinu de type burst-suppression, avec une réponse N20 absente bilatérale aux potentiels évoqués somatosensoriels, sont presqu'à 100 % prédictifs d'un coma irréversible déjà à 48 heures après AC. L'HT modifie aussi la valeur prédictive de l'énolase neuronale spécifique (NSE), principal biomarqueur sérique de la lésion cérébrale post-anoxique. Un réveil avec bonne récupération neurologique a été récemment observé par plusieurs groupes chez des patients présentant des valeurs de NSE>33 μg/L à 48-72 heures : ce seuil ne doit pas être utilisé seul pour guider le traitement. L'imagerie par résonance magnétique de diffusion peut aider à prédire les séquelles neurologiques à long terme. Un réveil chez les patients en coma post-anoxique est de plus en plus observé, malgré l'absence précoce de signes moteurs et une élévation franche des biomarqueurs neuronaux. En 2014, une nouvelle approche multimodale du pronostic est donc nécessaire, pour optimiser la prédiction d'une évolution clinique favorable après AC. Hypoxic-ischemic encephalopathy after cardiac arrest (CA) is a frequent cause of intensive care unit (ICU) admission. Incorporated in all recent guidelines, therapeutic hypothermia (TH) has become a standard of care and has contributed to improve prognosis after CA during the past decade. The accuracy of prognostic predictors validated in 2006 by the American Academy of Neurology before the era of TH is less accurate. Indeed, TH and sedation may delay the recovery of motor response and alter the predictive value of brainstem reflexes. A new approach is needed to accurately establish prognosis after CA and TH. A reactive and/or continuous electroencephalogram background (during TH or shortly thereafter) strongly predicts good outcome. On the contrary, unreactive/spontaneous burst-suppression electroencephalogram pattern, together with absent N20 on somatosensory evoked potentials, is almost 100% predictive of irreversible coma. TH also affects the predictive value of neuronspecific enolase (NSE), the main serum biomarker of postanoxic injury. A good outcome can occur despite NSE levels >33 μg/L, so this cutoff value should not be used alone to guide treatment. Diffusion magnetic resonance imagery may help predict long-term neurological sequelae. Awakening from postanoxic coma is increasingly observed, despite the absence of early motor signs and pathological elevation of NSE. In 2014, a multimodal approach to prognosis is recommended to optimize the prediction of outcome after CA.