Metabolic fingerprint after acute and under sustained consumption of a functional beverage based on grape skin extract in healthy human subjects

Grape-derived polyphenols are considered to be one of the most promising ingredients for functional foods due to their health-promoting activities. We applied a HPLC-MS-based untargeted metabolomic approach in order to evaluate the impact of a functional food based on grape skin polyphenols on the urinary metabolome of healthy subjects. Thirty-one volunteers participated in two dietary crossover randomized intervention studies: with a single-dose intake (187 mL) and with a 15-day sustained consumption (twice per day, 187 mL per day in total) of a functional beverage (FB). Postprandial (4-hour) and 24-hour urine samples collected after acute consumption and on the last day of sustained FB consumption, respectively, were analysed using an untargeted HPLC-qTOF-MS approach. Multivariate modelling with subsequent application of an S-plot revealed differential mass features related to acute and prolonged consumption of FB. More than half of the mass features were shared between the two types of samples, among which several phase II metabolites of grape-derived polyphenols were identified at confidence level II. Prolonged consumption of FB was specifically reflected in urine metabolome by the presence of first-stage microbial metabolites of flavanols: hydroxyvaleric acid and hydroxyvalerolactone derivatives. Overall, several epicatechin and phenolic acid metabolites both of tissular and microbiota origin were the most representative markers of FB consumption. To our knowledge, this is one of the first studies where an untargeted LC-MS metabolomic approach has been applied in nutrition research on a grape-derived FB

Malformaciones congénitas en recién nacidos vivos

Fundamento: las malformaciones congénitas contribuyen de forma importante a la mortalidad durante etapas tempranas de la vida; constituyen la primera causa de muerte infantil en los países desarrollados.Objetivo: determinar el comportamiento de malformaciones congénitas en recién nacidos vivos. Métodos: estudio descriptivo realizado en la provincia de Cienfuegos en el año 2012. Se estudiaron 37 mujeres que tuvieron recién nacidos vivos con malformaciones congénitas. Se analizó: edad de los padres, color de la piel, número de orden del nacimiento, antecedentes familiares de malformaciones, antecedentes de abortos, consanguinidad, amenaza de aborto, enfermedades crónicas, tipo de enfermedad crónica, municipio, áreas de salud, tipo de malformación; comportamiento durante el primer trimestre de: tabaquismo, fiebre, enfermedades agudas así como ingestión de medicamentos y tipo de medicamento. Se empleó el estadígrafo Chi cuadrado con una exigencia de precisión del 95 %.Resultados: la tasa de malformaciones congénitas fue de 8,6 por 1 000 nacidos vivos y la de mortalidad en menores de un año fue de 0,7 por 1 000 nacidos vivos. Predominaron los malformados que proceden de las áreas de salud VIII, VII y Cumanayagua. Los sistemas más afectados fueron el Sistema Osteomioarticular, Cardiovascular y Digestivo; la malformación más frecuente fue la comunicación interventricular. Predominaron como factores de riesgo la nuliparidad(91,9 %) y el antecedente de hasta dos abortos espontáneos(83,7 %). Conclusiones: en la provincia de Cienfuegos las malformaciones congénitas en recién nacidos vivos continúan siendo frecuentes y contribuyen a la mortalidad infantil, sobre todo las que afectan el Sistema Cardiovascular.</p

Modelado y simulación de un robot planar paralelo activado por cables

Los robots de tipo planar activados por cables son sistemas robóticos que poseen cadenas cinemáticas cerradas. En este este documento se presenta el modelado y simulación de un sistema compuesto por un robot planar que posee cuatro cables colocados de manera paralela. La metodología desarrollada en este trabajo comienza describiendo de manera general el sistema, posteriormente se presenta la determinación de sus grados de libertad y el diagrama esquemático referente a sus articulaciones, así como también se realiza un estudio de velocidades y un análisis de singularidades. Se desarrollan las ecuaciones cinemáticas directa e inversa del sistema propuesto y, finalmente, se muestran los resultados validados de manera computacional utilizando el software Matlab Simulin

MATLAB tool for loading of boxes in 3L-CVRP problem

The Three-Dimensional Capacitated Vehicle Routing Problem, or 3L-CVRP, is one NP-Hard Problem in the logistics field. In the 3L-CVRP the length, width and height dimensions of items and vehicle are considered. Hence, each item must be sequentially loaded to avoid overlaps between items of different customers, fragile items must not support no fragile items. Items can be rotated in x-y axes. In this work, a MATLAB program for plotting the solutions obtained for 3L-CVRP is proposed as a technique to verify errors such as overlaps, intersections, not enough supporting area and the invalid combination of items

Sistema multiplataforma de gestión de datos para visión por computadora

En este artículo se presenta el desarrollo de un sistema multiplataforma de gestión de datos para aplicación de visión por computadora. Se presenta la arquitectura del sistema, los componentes y los resultados del sistema en operación. El sistema tiene la finalidad de dar de alta, dar de baja, consultar y modificar los datos de los departamentos y del personal de una empresa, de igual forma registra la imagen del rostro del personal, esto, con el fin de realizar la identificación del personal para el sistema de asistencia. El sistema está integrado por un módulo de generación de base de datos un conjunto de tablas que contienen los datos de los trabajadores como son nombre, apellidos, departamento, entre otros; para el caso de los departamentos y trabajadores el sistema cuenta con un módulo de altas, un módulo de bajas, un módulo para modificación de datos; el sistema cuenta con un módulo para el registro de rostros de los trabajadores, un módulo para entrenamientos del algoritmo de reconocimiento facial y un módulo para identificación de rostro. Para el diseño del sistema se utilizó ingeniería del software. El sistema desarrollado tiene la capacidad de operar en Ubuntu y en Windows. Para el desarrollo del sistema se utilizó el lenguaje de programación Python y la librería OpenC

Synergistic activation of AMPK prevents from polyglutamine-inducedtoxicity inCaenorhabditis elegans

11 páginas, 4 figuras. Supplementary material related to this article can be found, in the online version, at doi: https://doi.org/10.1016/j.phrs.2020.105105.Expression of abnormally long polyglutamine (polyQ) tracks is the source of a range of dominant neurodegenerative diseases, such as Huntington disease. Currently, there is no treatment for this devastating disease, although some chemicals, e.g., metformin, have been proposed as therapeutic solutions. In this work, we show that metformin, together with salicylate, can synergistically reduce the number of aggregates produced after polyQ expression in Caenorhabditis elegans. Moreover, we demonstrate that incubation polyQ-stressed worms with low doses of both chemicals restores neuronal functionality. Both substances are pleitotropic and may activate a range of different targets. However, we demonstrate in this report that the beneficial effect induced by the combination of these drugs depends entirely on the catalytic action of AMPK, since loss of function mutants of aak-2/AMPKα2 do not respond to the treatment. To further investigate the mechanism of the synergetic activity of metformin/salicylate, we used CRISPR to generate mutant alleles of the scaffolding subunit of AMPK, aakb-1/AMPKβ1. In addition, we used an RNAi strategy to silence the expression of the second AMPKβ subunit in worms, namely aakb-2/AMPKβ2. In this work, we demonstrated that both regulatory subunits of AMPK are modulators of protein homeostasis. Interestingly, only aakb-2/AMPKβ2 is required for the synergistic action of metformin/salicylate to reduce polyQ aggregation. Finally, we showed that autophagy acts downstream of metformin/salicylate-related AMPK activation to promote healthy protein homeostasis in worms.We thank the CGC, funded by the NIH Office of ResearchInfrastructure Programs (P40 OD010440), for worm strains. [...] RPVMis aMiguel Servet type IIresearcher (CPII16/00004) funded by Institutode Salud Carlos III (ISCIII, Madrid, Spain). Grants from the ISCIII wereused to perform this work (PI14/00949 and PI17/00011). All grantsfrom ISCIII are co-financed by the European Development RegionalFund”A way to achieve Europe”(ERDF). JBY holds a grant from theGeneralitat Valenciana and the European Social Fund (ACIF/2019/249). Some equipment used in this work has been funded in partnershipbetween the Generalitat Valenciana (Conselleria de Sanitat I SalutPública, Valencian Community, Spain) and European Funds (ERDF/FSE), through the call "Improvement of research infrastructures for rarediseases”CV FEDER 2014-2020. This work has been partially supportedby a grant from the Fundació Telemarató de la TV3 (Reference 559),which covered the work of MDS. The funds from the ISCIII are partiallysupported by the European Regional Development Fund. RPVM is also aMarie Curie fellow (CIG322034, EU). This work has been partiallysupported by a grant from the CIBERER (ACCI2016), a grant from theFundación Ramón Areces (CIVP19S8119) and anAyuda Miguel Gilgrantto RPVM (VII Convocatoria Ayudas a la Investigación MHER, 2019Peer reviewe

Longitudinal trajectories in negative symptoms and changes in brain cortical thickness: 10-year follow-up study

Background Understanding the evolution of negative symptoms in first-episode psychosis (FEP) requires long-term longitudinal study designs that capture the progression of this condition and the associated brain changes. Aims To explore the factors underlying negative symptoms and their association with long-term abnormal brain trajectories. Method We followed up 357 people with FEP over a 10-year period. Factor analyses were conducted to explore negative symptom dimensionality. Latent growth mixture modelling (LGMM) was used to identify the latent classes. Analysis of variance (ANOVA) was conducted to investigate developmental trajectories of cortical thickness. Finally, the resulting ANOVA maps were correlated with a wide set of regional molecular profiles derived from public databases. Results Three trajectories (stable, decreasing and increasing) were found in each of the three factors (expressivity, experiential and attention) identified by the factor analyses. Patients with an increasing trajectory in the expressivity factor showed cortical thinning in caudal middle frontal, pars triangularis, rostral middle frontal and superior frontal regions from the third to the tenth year after the onset of the psychotic disorder. The F-statistic map of cortical thickness expressivity differences was associated with a receptor density map derived from positron emission tomography data. Conclusions Stable and decreasing were the most common trajectories. Additionally, cortical thickness abnormalities found at relatively late stages of FEP onset could be exploited as a biomarker of poor symptom outcome in the expressivity dimension. Finally, the brain areas with less density of receptors spatially overlap areas that discriminate the trajectories of the expressivity dimension.Funding: This work was supported by the Instituto de Salud Carlos III (PI14/00639 and PI14/00918) and Fundación Instituto de Investigación Marqués de Valdecilla (NCT0235832 and NCT02534363). M.C.-R. acknowledges funding support from the Consejería de Salud y Familias (Junta de Andalucía) 2020 grant, which covers his salary (RH-0081 2020). R.R.-G. is funded by the EMERGIA Junta de Andalucía programme (EMERGIA20_00139) and the Plan Propio of the University of Seville

Solar Thermal Collector Output Temperature Prediction by Hybrid Intelligent Model for Smartgrid and Smartbuildings Applications and Optimization

Currently, there is great interest in reducing the consumption of fossil fuels (and other non-renewable energy sources) in order to preserve the environment; smart buildings are commonly proposed for this purpose as they are capable of producing their own energy and using it optimally. However, at times, solar energy is not able to supply the energy demand fully; it is mandatory to know the quantity of energy needed to optimize the system. This research focuses on the prediction of output temperature from a solar thermal collector. The aim is to measure solar thermal energy and optimize the energy system of a house (or building). The dataset used in this research has been taken from a real installation in a bio-climate house located on the Sotavento Experimental Wind Farm, in north-west Spain. A hybrid intelligent model has been developed by combining clustering and regression methods such as neural networks, polynomial regression, and support vector machines. The main findings show that, by dividing the dataset into small clusters on the basis of similarity in behavior, it is possible to create more accurate models. Moreover, combining different regression methods for each cluster provides better results than when a global model of the whole dataset is used. In temperature prediction, mean absolute error was lower than 4 ∘ C.info:eu-repo/semantics/publishedVersio

Recommendations of the Spanish Antibiogram Committee (COESANT) for selecting antimicrobial agents and concentrations for in vitro susceptibility studies using automated systems

Automated antimicrobial susceptibility testing devices are widely implemented in clinical microbiology laboratories in Spain, mainly using EUCAST (European Committee on Antimicrobial Susceptibility Testing) breakpoints. In 2007, a group of experts published recommendations for including antimicrobial agents and selecting concentrations in these systems. Under the patronage of the Spanish Antibiogram Committee (Comité Español del Antibiograma, COESANT) and the Study Group on Mechanisms of Action and Resistance to Antimicrobial Agents (GEMARA) from the Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC), and aligned with the Spanish National Plan against Antimicrobial Resistance (PRAN), a group of experts have updated this document. The main modifications from the previous version comprise the inclusion of new antimicrobial agents, adaptation of the ranges of concentrations to cover the EUCAST breakpoints and epidemiological cut-off values (ECOFFs), and the inference of new resistance mechanisms. This proposal should be considered by different manufacturers and users when designing new panels or cards. In addition, recommendations for selective reporting are also included. With this approach, the implementation of EUCAST breakpoints will be easier, increasing the quality of antimicrobial susceptibility testing data and their microbiological interpretation. It will also benefit epidemiological surveillance studies as well as the clinical use of antimicrobials aligned with antimicrobial stewardship programs.Los sistemas automáticos utilizados en el estudio de la sensibilidad a los antimicrobianos están introducidos en la mayoría de los laboratorios de Microbiología Clínica en España, utilizando principalmente los puntos de corte del European Committee on Antimicrobial Susceptibility Testing (EUCAST). En 2007, un grupo de expertos publicó unas recomendaciones para incluir antimicrobianos y seleccionar concentraciones en estos sistemas. Bajo el auspicio del Comité Español del Antibiograma (COESANT) y del Grupo de Estudio de los Mecanismos de Acción y Resistencia a los Antimicrobianos (GEMARA) de la Sociedad Española de Enfermedades Infecciosas y Microbiología Clínica (SEIMC) y alineado con el Plan Nacional frente a la Resistencia a los Antibióticos (PRAN), un grupo de expertos ha actualizado dicho documento. Las principales modificaciones realizadas sobre la versión anterior comprenden la inclusión de nuevos agentes antimicrobianos, la adaptación de los rangos de concentraciones para cubrir los puntos de corte clínicos y los puntos de corte epidemiológicos (ECOFF) definidos por el EUCAST, y para la inferencia de nuevos mecanismos de resistencia. Esta propuesta debería ser considerada por los diferentes fabricantes y los usuarios cuando se diseñen nuevos paneles o tarjetas. Además, se incluyen recomendaciones para realizar informes selectivos. Con este enfoque, la implementación de los puntos de corte del EUCAST será más fácil, aumentando la calidad de los datos del antibiograma y su interpretación microbiológica. También será de utilidad para los estudios de vigilancia epidemiológica, así como para el uso clínico de los antimicrobianos, de acuerdo con los programas de optimización de uso de antimicrobianos (PROA)