The role of renal biopsy in small renal masses.

Renal biopsy is being increasingly proposed as a diagnostic tool to characterize small renal masses (SRM). Indeed, the wide adoption of imaging in the diagnostic workup of many diseases had led to a substantial increased incidence of SRM (diameter ≤4 cm). While modern ultrasound, computed tomography (CT) and magnetic resonance imaging (MRI) techniques have high sensitivity for detecting SRM, none is able to accurately and reliably characterize them in terms of histological features. This is currently of key importance in guiding clinical decision-making in some situations, and in these cases renal biopsy should be considered. In this review, we aim to summarize the technique, diagnostic performance, and predicting factors of nondiagnostic biopsy, as well as the future perspectives.

Thermal Degradation of Small Molecules: A Global Metabolomic Investigation.

Thermal processes are widely used in small molecule chemical analysis and metabolomics for derivatization, vaporization, chromatography, and ionization, especially in gas chromatography mass spectrometry (GC/MS). In this study the effect of heating was examined on a set of 64 small molecule standards and, separately, on human plasma metabolite extracts. The samples, either derivatized or underivatized, were heated at three different temperatures (60, 100, and 250 °C) at different exposure times (30 s, 60 s, and 300 s). All the samples were analyzed by liquid chromatography coupled to electrospray ionization mass spectrometry (LC/MS) and the data processed by XCMS Online ( xcmsonline.scripps.edu ). The results showed that heating at an elevated temperature of 100 °C had an appreciable effect on both the underivatized and derivatized molecules, and heating at 250 °C created substantial changes in the profile. For example, over 40% of the molecular peaks were altered in the plasma metabolite analysis after heating (250 °C, 300s) with a significant formation of degradation and transformation products. The analysis of 64 small molecule standards validated the temperature-induced changes observed on the plasma metabolites, where most of the small molecules degraded at elevated temperatures even after minimal exposure times (30 s). For example, tri- and diorganophosphates (e.g., adenosine triphosphate and adenosine diphosphate) were readily degraded into a mono-organophosphate (e.g., adenosine monophosphate) during heating. Nucleosides and nucleotides (e.g., inosine and inosine monophosphate) were also found to be transformed into purine derivatives (e.g., hypoxanthine). A newly formed transformation product, oleoyl ethyl amide, was identified in both the underivatized and derivatized forms of the plasma extracts and small molecule standard mixture, and was likely generated from oleic acid. Overall these analyses show that small molecules and metabolites undergo significant time-sensitive alterations when exposed to elevated temperatures, especially those conditions that mimic sample preparation and analysis in GC/MS experiments.

The situation of rural women in Spain: the case of small-scale artisan food producers

La discriminación de las mujeres rurales y la falta de una aplicación efectiva de la legislación sobre la igualdad de género es un fenómeno extendido alrededor del mundo. Las mujeres han sido tradicionalmente las responsables del cuidado y alimentación familiar, en consecuencia han desarrollado tareas productivas que facilitan la combinación de actividades productivas y reproductivas en la explotación agraria. La transformación alimentaria es una de esas actividades que permite a las mujeres tener un trabajo remunerado o complementar la renta agraria en un contexto dónde la mayoría de los trabajos agrícolas están vetados para ellas. Sin embargo, las mujeres suelen estar vinculadas a proyectos que priorizan la producción local y de calidad, y la expansión de la producción industrial de alimentos ha empeorado la situación de las mujeres artesanas alimentarias. En el presente estudio se pretende, mediante el uso de metodologías cualitativas, abordar un diagnóstico de la situación de las mujeres que llevan a cabo proyectos de transformación alimentaria a pequeña escala en España mostrando sus principales dificultades, necesidades y propuestas.

Quantitative performance of a quadrupole-orbitrap-MS in targeted LC-MS determinations of small molecules.

High-resolution mass spectrometry (HRMS) has been associated with qualitative and research analysis and QQQ-MS with quantitative and routine analysis. This view is now challenged and for this reason, we have evaluated the quantitative LC-MS performance of a new high-resolution mass spectrometer (HRMS), a Q-orbitrap-MS, and compared the results obtained with a recent triple-quadrupole MS (QQQ-MS). High-resolution full-scan (HR-FS) and MS/MS acquisitions have been tested with real plasma extracts or pure standards. Limits of detection, dynamic range, mass accuracy and false positive or false negative detections have been determined or investigated with protease inhibitors, tyrosine kinase inhibitors, steroids and metanephrines. Our quantitative results show that today's available HRMS are reliable and sensitive quantitative instruments and comparable to QQQ-MS quantitative performance. Taking into account their versatility, user-friendliness and robustness, we believe that HRMS should be seen more and more as key instruments in quantitative LC-MS analyses. In this scenario, most targeted LC-HRMS analyses should be performed by HR-FS recording virtually "all" ions. In addition to absolute quantifications, HR-FS will allow the relative quantifications of hundreds of metabolites in plasma revealing individual's metabolome and exposome. This phenotyping of known metabolites should promote HRMS in clinical environment. A few other LC-HRMS analyses should be performed in single-ion-monitoring or MS/MS mode when increased sensitivity and/or detection selectivity will be necessary.

"Role of long non-coing RNAs in the stressed heart". Wisper : a novel cardiac fibroblast-enriched IncRNA that modulate fibrosis in the failing heart

LncRNAs are transcripts greater than 200 nucleotides in length with no apparent coding potential. They exert important regulatory functions in the genome. Their role in cardiac fibrosis is however unexplored. To identify IncRNAs that could modulate cardiac fibrosis, we profiled the long non-coding transcriptome in the infarcted mouse heart, and identified 1500 novel IncRNAs. These IncRNAs have unique characteristics such as high tissue and cell type specificity. Their expression is highly correlated with parameters of cardiac dimensions and function. The majority of these novel IncRNAs are conserved in human. Importantly, human IncRNAs appear to be differentially expressed in heart disease. Using a computational pipeline, we identified a super-enhancer-associated IncRNA, which is dynamically expressed after myocardial infarction. We named this particular transcript Wisper for «Wisp2 super-enhancer- derived IncRNA ». Interestingly, Wisper expression is overexpressed in cardiac fibroblasts as compared to cardiomyocytes or to fibroblasts isolated from other organs than the heart. The importance of Wisper in the biology of fibroblasts was demonstrated in knockdown experiments. Differentiation of cardiac fibroblast into myofibroblasts in vitro is significantly impaired upon Wisper knockdown. Wisper downregulation in cardiac fibroblasts results in a dramatic reduction of fibrotic gene expression, a diminished cell proliferation and an increase in apoptotic cell death. In vivo, depletion of Wisper during the acute phase of the response to infarction is detrimental via increasing the risk of cardiac rupture. On the other hand, Wisper knockdown following infarction in a prevention study reduces fibrosis and preserves cardiac function. Since WISPER is detectable in the human heart, where it is associated with severe cardiac fibrosis, these data suggest that Wisper could represent a novel therapeutic target for limiting the extent of the fibrotic response in the heart. -- Les long ARN non-codants (IncRNAs) sont des ARN de plus de 200 nucléotides qui ne codent pas pour des protéines. Ils exercent d'importantes fonctions dans le génome. Par contre, leur importance dans le développement de la fibrose cardiaque n'a pas été étudiée. Pour identifier des IncRNAs jouant un rôle dans ce processus, le transcriptome non-codant a été étudié dans le coeur de'souris après un infarctus du myocarde. Nous avons découverts 1500 nouveaux IncRNAs. Ces transcrits ont d'uniques caractéristiques. En particulier ils sont extrêmement spécifiques de sous-populations de cellules cardiaques. Par ailleurs, leur expression est remarquablement corrélée avec les paramètres définissant les dimensions du coeur et la fonction cardiaque. La majorité de ces IncRNAs sont conservés chez l'humain. Certains sont modulés dans des pathologies cardiaques. En utilisant une approche bioinformatique, nous avons identifié un IncRNA qui est associé à des séquences amplificatrices et qui est particulièrement enrichi dans les fibroblastes cardiaques. Ce transcrit a été nommé Wisper pour «Wisp2 super-enhancer-derived IncRNA ». L'importance de Wisper dans la biologie des fibroblastes cardiaques est démontrée dans des expériences de déplétion. En l'absence de Wisper, l'expression de protéines impliquées dans le développement de la fibrose est dramatiquement réduite dans les fibroblastes cardiaques. Ceux-ci montrent une prolifération réduite. Le niveau d'apoptose est largement augmenté. In vivo, la déplétion de Wisper pendant la phase aiguë de l'infarctus rehausse le risque de rupture cardiaque. Au contraire, la réduction de l'expression de Wisper pendant la phase chronique diminue la fibrose cardiaque et améliore la fonction du coeur. Puisque Wisper est exprimé dans le coeur humain, ce transcrit représente une nouvelle cible thérapeutique pour limiter la réponse fibrotique dans le coeur.

Large slope deformations detection and monitoring along shores of the Potrerillos dam reservoir, Argentina, based on a small-baseline InSAR approach

The Argentina National Road 7 that crosses the Andes Cordillera within the Mendoza province to connect Santiago de Chile and Buenos Aires is particularly affected by natural hazards requiring risk management. Integrated in a research plan that intends to produce landslide susceptibility maps, we aimed in this study to detect large slope movements by applying a satellite radar interferometric analysis using Envisat data, acquired between 2005 and 2010. We were finally able to identify two large slope deformations in sandstone and clay deposits along gentle shores of the Potrerillos dam reservoir, with cumulated displacements higher than 25mm in 5years and towards the reservoir. There is also a body of evidences that these large slope deformations are actually influenced by the seasonal reservoir level variations. This study shows that very detailed information, such as surface displacements and above all water level variation, can be extracted from spaceborne remote sensing techniques; nevertheless, the limitations of InSAR for the present dataset are discussed here. Such analysis can then lead to further field investigations to understand more precisely the destabilising processes acting on these slope deformations.

Social differences in avoidable mortality between small areas of 15 European cities: an ecological study

Health and inequalities in health among inhabitants of European cities are of major importance for European public health and there is great interest in how different health care systems in Europe perform in the reduction of health inequalities. However, evidence on the spatial distribution of cause-specific mortality across neighbourhoods of European cities is scarce. This study presents maps of avoidable mortality in European cities and analyses differences in avoidable mortality between neighbourhoods with different levels of deprivation. Methods: We determined the level of mortality from 14 avoidable causes of death for each neighbourhood of 15 large cities in different European regions. To address the problems associated with Standardised Mortality Ratios for small areas we smooth them using the Bayesian model proposed by Besag, York and Mollié. Ecological regression analysis was used to assess the association between social deprivation and mortality. Results: Mortality from avoidable causes of death is higher in deprived neighbourhoods and mortality rate ratios between areas with different levels of deprivation differ between gender and cities. In most cases rate ratios are lower among women. While Eastern and Southern European cities show higher levels of avoidable mortality, the association of mortality with social deprivation tends to be higher in Northern and lower in Southern Europe. Conclusions: There are marked differences in the level of avoidable mortality between neighbourhoods of European cities and the level of avoidable mortality is associated with social deprivation. There is no systematic difference in the magnitude of this association between European cities or regions. Spatial patterns of avoidable mortality across small city areas can point to possible local problems and specific strategies to reduce health inequality which is important for the development of urban areas and the well-being of their inhabitants

Cancer mortality inequalities in urban areas: a Bayesian small area analysis in Spanish cities [correcció]

After publication of this work in 'International Journal of Health Geographics' on 13 january 2011 was wrong. The map of Barcelona in Figure two (figure 1 here) was reversed. The final correct Figure is presented here

Small scale waste management. Composting project in selected schools in Mwanza, Tanzania

No 2/2008, sivu 8.

Importance of the embedding environment on the strain within small rings in siliceous materials

The effect of the local environment on the energetic strain within small (SiO)N rings (with N=2,3) in silica materials is investigated via periodic model systems employing density functional calculations. Through comparison of the energies of various nonterminated systems containing small rings in strained and relatively unstrained environments, with alpha quartz, we demonstrate how small ring strain is affected by the nature of the embedding environment. We compare our findings with numerous previously reported calculations, often predicting significantly different small-ring strain energies, leading to a critical assessment of methods of calculating accurate localized ring energies. The results have relevance for estimates of the strain-induced response (e.g., chemical, photo, and radio) of small silica rings, and the propensity for them to form in bulk glasses, thin films, and nanoclusters.

Driver costs in small firms: Empirical analysis for farms

The agricultural sector has always been characterized by a predominance of small firms. International competition and the consequent need for restraining costs are permanent challenges for farms. This paper performs an empirical investigation of cost behavior in agriculture using panel data analysis. Our results show that transactions caused by complexity influence farm costs with opposite effects for specific and indirect costs. While transactions allow economies of scale in specific costs, they significantly increase indirect costs. However, the main driver for farm costs is volume. In addition, important differences exist for small and big farms, since transactional variables significantly influence the former but not the latter. While sophisticated management tools, such ABC, could provide only limited complementary useful information but no essential allocation bases for farms, they seem inappropriate for small farms

Driver costs in small firms: Empirical analysis for farms

The agricultural sector has always been characterized by a predominance of small firms. International competition and the consequent need for restraining costs are permanent challenges for farms. This paper performs an empirical investigation of cost behavior in agriculture using panel data analysis. Our results show that transactions caused by complexity influence farm costs with opposite effects for specific and indirect costs. While transactions allow economies of scale in specific costs, they significantly increase indirect costs. However, the main driver for farm costs is volume. In addition, important differences exist for small and big farms, since transactional variables significantly influence the former but not the latter. While sophisticated management tools, such ABC, could provide only limited complementary useful information but no essential allocation bases for farms, they seem inappropriate for small farms

Investigating the impact of small versus large firms on economic performance of countries and industries

Following earlier work by Audretsch et al. (2002), we assume that an optimal size-class structure exists, in terms of achieving maximal economic growth rates. Such an optimal structure is likely to exist as economies need a balance between the core competences of large firms (such as exploitation of economies of scale) and those of smaller firms (such as flexibility and exploration of new ideas). Accordingly, changes in size-class structure (i.e., changes in the relative shares in economic activity accounted for by micro, small, medium-sized and large firms) may affect macro-economic growth. Using a unique data base of the EU-27 countries for the period 2002-2008 for five broad sectors of economic activity and four size-classes, we find empirical support which suggests that, on average for these countries over this period, the share of micro and large firms may have been ‘above optimum’ (particularly in lower income EU countries) whereas the share of medium-sized firms may have been ‘below optimum’ (particularly in higher income EU countries). This evidence suggests that the transition from a ‘managed’ to an ‘entrepreneurial’ economy (Audretsch and Thurik, 2001) has not been completed yet in all countries of the EU-27. Keywords: small firms, large firms, size-classes, macro-economic performance