ASPECTOS SENSORIAIS E FÍSICO-QUÍMICOS DE “IOGURTES” DE SOJA COM ESPESSANTES/ESTABILIZANTES A BASE DE FÉCULA DE INHAME (Dioscorea alata), AMIDO MODIFICADO E GELATINA

This study had as objective to evaluate the effect of yam starch, modified starch from Cargill-Brasil (Amidomax 4800®) and gelatin from Gelita-Brasil (GEL-LAC) as stabilizers/thickeners in different ratios and combinations in the soy "yoghurt" fermented with Enterococcus faecium and Lactobacillus helveticus ssp jugurti. Ten soy "yoghurt" formulations containing these different stabilizers/thickeners, always totalizing 0.5% in relation to the final formulation, were analyzed in sensorial and physical-chemical terms. Based on the observed results, it was concluded in relation to the sensorial point of view that the more appropriate product was processed only with gelatin at 0.5% concentration. This product also presented the best physical-chemical results related to consistency, syneresis and water holding capacity. However, the isolated use of gelatin increased fermentation time of the soy "yoghurt".Este estudo teve como objetivo avaliar o efeito da fécula de inhame, amido modificado da Cargill-Brasil (Amidomax 4800®) e gelatina da Gelita-Brasil (GEL-LAC®) como espessantes/estabilizantes em diferentes proporções e combinações em "iogurte" de soja fermentado com Enterococcus faecium e Lactobacillus helveticus ssp jugurti. Dez formulações de "iogurte" de soja contendo os diferentes espessantes/estabilizantes, sempre totalizando 0,5% em relação à formulação final, foram analisadas em termos sensoriais e físico-químicos. Com base nos resultados observados concluiu-se que sob o ponto de vista sensorial, o produto mais adequado foi processado apenas com gelatina na concentração de 0,5%. Esse produto também apresentou os melhores resultados físico-químicos em relação à consistência, sinérese e capacidade de retenção de água. No entanto, a gelatina utilizada isoladamente provocou aumento no tempo de fermentação do "iogurte" de soja

Inhibition of ATG3 ameliorates liver steatosis by increasing mitochondrial function

Non-alcoholic fatty liver disease (NAFLD) is a major health threat in both developed and developing countries and is a precursor of the more advanced liver diseases, including non-alcoholic steatohepatitis (NASH), cirrhosis, and liver cancer. Currently, understanding the multiple and complex molecular pathways implicated in NAFLD onset and progression is a major priority. The transcription factor p63, which belongs to a family comprising p53, p63, and p73,1 is one of many factors that contributes to the development of liver steatosis. The role of p63 as a tumor suppressor and in cell maintenance and renewal is well studied, but we have recently reported that it is also relevant in the control of lipid metabolism.2 p63 encodes multiple isoforms that can be grouped into 2 categories; isoforms with an acidic transactivation domain (TA) and those without this domain (domain negative). The TAp63α isoform is elevated in the liver of animal models of NAFLD as well as in liver biopsies from obese patients with NAFLD. Furthermore, downregulation of p63α in the liver attenuates liver steatosis in diet-induced obese (DIO) mice, while the activation of TAp63α increases hepatic fat content, mediated by the activation of IKKβ and endoplasmic reticulum stress.2 A specialized form of autophagy that degrades lipid droplets, termed “lipophagy”, is a major pathway of lipid mobilization in hepatocytes. Lipophagy is elevated in hepatoma cells upon exposure to free fatty acids,3 and reduces the fatty acid load in mouse hepatocytes.4 Its impairment has been associated with the development of fatty liver and insulin resistance3,5; in contrast, the autophagic flux is increased during the activation of hepatic stellate cells.6 In the present study, we used an unbiased proteomics approach to gain insight into novel proteins modulating lipid metabolism in the liver of mice with genetic knockdown or overexpression of TAp63α. We found that autophagy-related gene 3 (ATG3) was upregulated by TAp63α activation and downregulated after p63α inhibition. ATG3 is elevated in several animal models of NAFLD and in the liver of patients with NAFLD. Genetic overexpression of ATG3 increased the lipid load in hepatocytes, while its repression alleviated TAp63α- and diet-induced steatosis. ATG3 exerted its role in lipid metabolism by regulating SIRT1 and mitochondrial function. Collectively, these findings identify ATG3 as a novel factor implicated in the development of steatosisThis work has been supported by grants from FEDER/Ministerio de Ciencia, Innovación y Universidades-Agencia Estatal de Investigación (PA: RTI2018-095134-B-100; DS and LH: SAF2017-83813-C3-1-R; MLMC: RTC2019-007125-1; CD: BFU2017-87721; ML: RTI2018–101840-B-I00; GS; PID2019-104399RB-I00; RN: RTI2018-099413-B-I00 and RED2018-102379-T; MLMC: SAF2017-87301-R; TCD: RTI2018-096759-A-100), FEDER/Instituto de Salud Carlos III (AGR: PI19/00123), Xunta de Galicia (ML: 2016-PG068; RN: 2015-CP080 and 2016-PG057), Fundación BBVA (RN, GS and MLM), Proyectos Investigación en Salud (MLMC: DTS20/00138), Sistema Universitario Vasco (PA: IT971-16); Fundación Atresmedia (ML and RN), Fundación La Caixa (M.L., R.N. and M.C.), Gilead Sciences International Research Scholars Program in Liver Disease (MVR), Marató TV3 Foundation (DS: 201627), Government of Catalonia (DS: 2017SGR278) and European Foundation for the Study of Diabetes (RN and GS). This research also received funding from the European Community’s H2020 Framework Programme (ERC Synergy Grant-2019-WATCH- 810331, to RN, VP and MS). Centro de Investigación Biomédica en Red (CIBER) de Fisiopatología de la Obesidad y Nutrición (CIBERobn), Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) and CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERdem). CIBERobn, CIBERehd and CIBERdem are initiatives of the Instituto de Salud Carlos III (ISCIII) of Spain which is supported by FEDER funds. We thank MINECO for the Severo Ochoa Excellence Accreditation to CIC bioGUNE (SEV-2016-0644)S

A Primary Prevention Clinical Risk Score Model for Patients With Brugada Syndrome (BRUGADA-RISK).

OBJECTIVES: The goal of this study was to develop a risk score model for patients with Brugada syndrome (BrS). BACKGROUND: Risk stratification in BrS is a significant challenge due to the low event rates and conflicting evidence. METHODS: A multicenter international cohort of patients with BrS and no previous cardiac arrest was used to evaluate the role of 16 proposed clinical or electrocardiogram (ECG) markers in predicting ventricular arrhythmias (VAs)/sudden cardiac death (SCD) during follow-up. Predictive markers were incorporated into a risk score model, and this model was validated by using out-of-sample cross-validation. RESULTS: A total of 1,110 patients with BrS from 16 centers in 8 countries were included (mean age 51.8 ± 13.6 years; 71.8% male). Median follow-up was 5.33 years; 114 patients had VA/SCD (10.3%) with an annual event rate of 1.5%. Of the 16 proposed risk factors, probable arrhythmia-related syncope (hazard ratio [HR]: 3.71; p < 0.001), spontaneous type 1 ECG (HR: 3.80; p < 0.001), early repolarization (HR: 3.42; p < 0.001), and a type 1 Brugada ECG pattern in peripheral leads (HR: 2.33; p < 0.001) were associated with a higher risk of VA/SCD. A risk score model incorporating these factors revealed a sensitivity of 71.2% (95% confidence interval: 61.5% to 84.6%) and a specificity of 80.2% (95% confidence interval: 75.7% to 82.3%) in predicting VA/SCD at 5 years. Calibration plots showed a mean prediction error of 1.2%. The model was effectively validated by using out-of-sample cross-validation according to country. CONCLUSIONS: This multicenter study identified 4 risk factors for VA/SCD in a primary prevention BrS population. A risk score model was generated to quantify risk of VA/SCD in BrS and inform implantable cardioverter-defibrillator prescription