Calpain 3 and CaMKIIβ signaling are required to induce HSP70 necessary for adaptive muscle growth after atrophy.

Mutations in CAPN3 cause autosomal recessive limb girdle muscular dystrophy 2A. Calpain 3 (CAPN3) is a calcium dependent protease residing in the myofibrillar, cytosolic and triad fractions of skeletal muscle. At the triad, it colocalizes with calcium calmodulin kinase IIβ (CaMKIIβ). CAPN3 knock out mice (C3KO) show reduced triad integrity and blunted CaMKIIβ signaling, which correlates with impaired transcriptional activation of myofibrillar and oxidative metabolism genes in response to running exercise. These data suggest a role for CAPN3 and CaMKIIβ in gene regulation that takes place during adaptation to endurance exercise. To assess whether CAPN3- CaMKIIβ signaling influences skeletal muscle remodeling in other contexts, we subjected C3KO and wild type mice to hindlimb unloading and reloading and assessed CaMKIIβ signaling and gene expression by RNA-sequencing. After induced atrophy followed by 4 days of reloading, both CaMKIIβ activation and expression of inflammatory and cellular stress genes were increased. C3KO muscles failed to activate CaMKIIβ signaling, did not activate the same pattern of gene expression and demonstrated impaired growth at 4 days of reloading. Moreover, C3KO muscles failed to activate inducible HSP70, which was previously shown to be indispensible for the inflammatory response needed to promote muscle recovery. Likewise, C3KO showed diminished immune cell infiltration and decreased expression of pro-myogenic genes. These data support a role for CaMKIIβ signaling in induction of HSP70 and promotion of the inflammatory response during muscle growth and remodeling that occurs after atrophy, suggesting that CaMKIIβ regulates remodeling in multiple contexts: endurance exercise and growth after atrophy

Vacinação antigripal da população portuguesa nas épocas 2016/2017 e 2017/2018: cobertura e características do ato vacinal

Relatório elaborado em dezembro de 2018 e editado em fevereiro de 2019No âmbito da monitorização da toma da vacina antigripal sazonal (VAGS) em Portugal, o Instituto Nacional de Saúde Doutor Ricardo Jorge (INSA), através do seu Departamento de Epidemiologia, disponibiliza o relatório Vacinação antigripal da população portuguesa nas épocas 2016/2017 e 2017/2018. A publicação divulga a cobertura e caraterísticas do ato vacinal referente às épocas 2016/2017 e 2017/2018 e contempla, pela primeira vez, estimativas referentes a Portugal Continental e Regiões Autónomas. O estudo epidemiológico, transversal, utilizou dados recolhidos mediante inquérito por questionário estruturado aplicado por entrevista telefónica ao painel de famílias do instrumento de observação ECOS (Em Casa Observamos Saúde). O trabalho de recolha de dados realizou-se entre julho e setembro de 2018. A análise dos dados foi ponderada e extrapolada para a população residente em Portugal. De entre os resultados apresentados, destaca-se o seguinte: i) As estimativas da cobertura da vacina antigripal na época 2017/2018 foram: 20,7% na população geral; 60,8% nos indivíduos com 65 e mais anos; 41,0% nos indivíduos portadores de doenças crónicas; ii) Comparando com a taxa de cobertura estimada para a população geral, referente à época 2015/2016 (16,2%), observou-se um aumento de cobertura da vacina antigripal de aproximadamente 5% na época 2017/2018; iii) Verificou-se uma evolução igualmente positiva nos indivíduos com 65 e mais anos, tendo a estimativa pontual evoluído de 50,1% (época 2015/2016) para 57,4% (época 2016/2017) e posteriormente, para 60,8% (época 2017/2018).N/

Predicción del color de la pulpa en melones intactos usando la espectroscopía NIRS

Premio extraordinario de Trabajo Fin de Máster curso 2013-2014. Proyectos y gestión de plantas agroindustriales

Desarrollo de un test de concepto de una nueva aplicación en el mundo de la moda

[ES] Existen muchas aplicaciones que ayudan a combinar ropa o comprarla, pero siguen sin existir herramientas que te ayuden a visualizar en ti mismo esas prendas. Por esa razón, se ha decidido poner en marcha el desarrollo de una aplicación que permita mostrar de manera inmediata y sin necesidad de compra como quedaría cualquier prenda. Esto se consigue estableciendo medidas individuales y una foto, y sólo con seleccionar el objeto a probar, se es capaz de resolver las inseguridades de compra online, permitiendo ver si le favorece o no al consumidor en cuestión, sin tener que desplazarse a ninguna tienda. Esta APP sería totalmente gratuita y con fácil acceso y manejo para que sea disfrutado por un mayor número de clientes. EL objetivo de este TFG es testar este concepto.Torres Boso, I. (2018). Desarrollo de un test de concepto de una nueva aplicación en el mundo de la moda. http://hdl.handle.net/10251/106971TFG

Afectación del principio al debido procedimiento en los procedimientos administrativos disciplinarios, seguidos ante la Municipalidad de Sullana, 2019

La investigación titulada “Afectación del principio al debido procedimiento en los procedimientos administrativos disciplinarios, seguidos ante la Municipalidad de Sullana, 2019”, tuvo como objetivo general el determinar la manera en que se afectó el principio al debido procedimiento en los procedimientos administrativos disciplinarios seguidos ante la Municipalidad de Sullana, 2019. La cual fue realizada en la ciudad de Sullana, teniendo un tipo de investigación básico, descriptivo de enfoque cualitativo y con un diseño transversal no experimental-sistemático y secuencial, de teoría fundamentada. Para la recolección de la información se empleó el cuestionario de entrevista y la guía de análisis de documentos, los cuales fueron validados por el juicio de tres expertos en la materia y aplicados a 1 secretario técnico, 1 abogada de secretaría técnica, 3 abogados de recursos humanos, 2 servidores vinculados al procedimiento administrativo disciplinario. La investigación concluyó que el desconocimiento a los lineamientos establecidos en las normas conlleva en la Municipalidad Provincial de Sullana que se vulnere el debido procedimiento en los procedimientos administrativos disciplinario por lo que la capacitación del personal es una propuesta más resaltante

Contribution of High Nature Value farming areas to sustainable livestock production: a pilot case in Finland

Peer reviewe

Kidney transplantation and COVID-19 renal and patient prognosis

Coronavirus disease 2019 (COVD-19) emerged as a pandemic in December 2019. Infection has spread quickly and renal transplant recipients receiving chronic immunosuppression have been considered a population at high risk of infection, complications and infection-related death. During this year a large amount of information from nationwide registries, multicentre and single-centre studies have been reported. The number of renal transplant patients diagnosed with COVID-19 was higher than in the general population, but the lower threshold for testing may have contributed to its better identification. Major complications such as acute kidney injury and acute respiratory distress syndrome were very frequent in renal transplant patients, with a high comorbidity burden, but further studies are needed to support that organ transplant recipients receiving chronic immunosuppression are more prone to develop these complications than the general population. Kidney transplant recipients experience a high mortality rate compared with the general population, especially during the very early post-transplant period. Despite the fact that some studies report more favourable outcomes in patients with a kidney transplant than in patients on the kidney waiting list, the higher mortality described in the very early post-transplant period would advise against performing a kidney transplant in areas where the spread of infection is high, especially in recipients >60 years of age. Management of transplant recipients has been challenging for clinicians and strategies such as less use of lymphocyte-depleting agents for new transplants or anti-metabolite withdrawal and calcineurin inhibitor reduction for transplant patients with COVID-19 are not based on high-quality evidence

Fraud Detection in Batches of Sweet Almonds by Portable Near-Infrared Spectral Devices

One of the key challenges for the almond industry is how to detect the presence of bitter almonds in commercial batches of sweet almonds. The main aim of this research is to assess the potential of near-infrared spectroscopy (NIRS) by means of using portable instruments in the industry to detect batches of sweet almonds which have been adulterated with bitter almonds. To achieve this, sweet almonds and non-sweet almonds (bitter almonds and mixtures of sweet almonds with different percentages (from 5% to 20%) of bitter almonds) were analysed using a new generation of portable spectrophotometers. Three strategies (only bitter almonds, bitter almonds and mixtures, and only mixtures) were used to optimise the construction of the non-sweet almond training set. Models developed using partial least squares-discriminant analysis (PLS-DA) correctly classified 86–100% of samples, depending on the instrument used and the strategy followed for constructing the non-sweet almond training set. These results confirm that NIR spectroscopy provides a reliable, accurate method for detecting the presence of bitter almonds in batches of sweet almonds, with up to 5% adulteration levels (lower levels should be tested in future studies), and that this technology can be readily used at the main steps of the production chain

Online NIRS analysis for the routine assessment of the nitrate content in spinach plants in the processing industry using linear and non-linear methods

This study aimed to assess the robustness of the NIRS models developed following different strategies for the routine prediction of nitrate content in spinach plants using an online FT-NIR spectrophotometer. To achieve this, 516 spinach plants from different cultivars, harvest dates, orchards and seasons, were used. Two strategies were followed to make up the calibration and validation sets; the first included in the calibration set those samples belonging to the 2018 and 2019 harvesting seasons, while the second also included in this set part of the population of the 2020 harvesting season. Modified partial least squares quantitative models were initially developed and externally validated. In view of the results and to obtain significant improvements, a non-linear regression technique (the LOCAL algorithm) was applied. The models developed using the non-linear regression technique and considering the greatest possible variability in the training set (samples belonging to 2018, 2019 and 2020 harvesting seasons) reported the best prediction results (R2p = 0.60; SEP = 758 mg/kg), which enabled to classify the product in the main categories or classes established by the official regulations, according to its commercial destination