Effect of the moderate and high intensity chronic exercise on plasma tumor necrosis factor alpha and Langerhans islets histology in healthy rats

Tumor necrosis factor alpha (TNF-α), a pro-inflammatory cytokine, negatively affects β-cell physiology and morphology, as occurs during type 1 diabetes mellitus and metabolic syndrome. Physical exercise is a good tool to reduce the pro-inflammatory state. PURPOSE: The present study investigated the effects of moderate and high-intensity chronic exercise on plasma TNF-α levels in a basal state; it further analyzed whether these cytokine changes are associated with changes in the pancreatic Langerhans islets morphology under healthy state. METHODS: Two month-old healthy male Wistar rats were divided into three groups: control (C) (n = 7), moderate intensity training (MIT) (n = 7), and high intensity training (HIT) (n = 5). The training protocol consisted of 24 exercise sessions, which involved running in a treadmill. The training intensity was 60% of the maximal oxygen consumption (VO2max) for MIT and 80% VO2max for HIT. Forty-eight hours after the last training session, plasma samples were obtained from the three groups to determine TNF-α and insulin levels with ELISA method. The duodenal pancreas was dissected to analyze the Langerhans islets. The correlation analysis among the nuclei/total islet area was carried out. RESULTS: The HIT group showed lower TNF-α plasma levels compared with the C group. Systemic insulin levels were not significantly modified in basal state by the chronic exercise intensity. In addition all the experimental groups showed a positive nuclei/islet area correlation. CONCLUSIONS: Under healthy conditions, the high intensity training reduces the plasma TNF-α level, but this effect is not associated with functionality or morphology changes of the pancreatic Langerhans islets. This study emphasizes the importance of one threshold in the exercise training to reduce the plasmatic TNF-α levels in a healthy state model

Improving Arctic weather and seasonal climate prediction: recommendations for future forecast systems evolution from the European project APPLICATE

The Arctic environment is changing, increasing the vulnerability of local communities and ecosystems, and impacting its socio-economic landscape. In this context, weather and climate prediction systems can be powerful tools to support strategic planning and decision-making at different time horizons. This article presents several success stories from the H2020 project APPLICATE on how to advance Arctic weather and seasonal climate prediction, synthesizing the key lessons learned throughout the project and providing recommendations for future model and forecast system development.The results discussed in this article were supported by the project APPLICATE (727862), funded by the European Union's Horizon 2020 research and innovation programme. PO was additionally supported by the Spanish fellowship RYC-2017-22772.Peer ReviewedArticle signat per 29 autors/es: Pablo Ortega (1), Edward W. Blockley (2), Morten Køltzow (3), François Massonnet (4), Irina Sandu (5), Gunilla Svensson (6), Juan C. Acosta Navarro (1), Gabriele Arduini (5), Lauriane Batté (7), Eric Bazile (7), Matthieu Chevallier (8), Rubén Cruz-García (1), Jonathan J. Day (5), Thierry Fichefet (4), Daniela Flocco (9), Mukesh Gupta (4), Kerstin Hartung (6,10), Ed Hawkins (9), Claudia Hinrichs (11), Linus Magnusson (5), Eduardo Moreno-Chamarro (1), Sergio Pérez-Montero (1), Leandro Ponsoni (4), Tido Semmler (11), Doug Smith (2), Jean Sterlin (4), Michael Tjernström (6), Ilona Välisuo (7,12), and Thomas Jung (11,13) // (1) Barcelona Supercomputing Center, Barcelona, Spain | (2) Met Office, Exeter, UK | (3) Norwegian Meteorological Institute, Oslo, Norway | (4) Université catholique de Louvain, Earth and Life Institute, Georges Lemaître Centre for Earth and Climate Research, Louvain-la-Neuve, Belgium | (5) European Centre for Medium-Range Weather Forecasts, Reading, UK | (6) Department of Meteorology, Stockholm University, Stockholm, Sweden | (7) CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France | (8) Météo-France, Toulouse, France | (9) National Centre for Atmospheric Science, Department of Meteorology, University of Reading, Reading, UK. | (10) Now at: Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany | (11) Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany | (12) Now at: Meteorology Unit, Finnish Meteorological Institute, Helsinki, Finland | (13) Department of Physics and Electrical Engineering, University of Bremen, Bremen, GermanyPostprint (published version

Análisis del efecto del consumo crónico de alcohol en el desarrollo de resistencia a la insulina ligada a una posible alteración en los niveles de adiponectina en sangre

El lipopolisacárido es el principal componente de la pared celular de todas las bacterias Gram negativas, las cuales forman parte de la flora intestinal. Se ha establecido que en los humanos, el consumo excesivo de alcohol está asociado con una aparición transitoria de lipopolisacarido en la circulación sanguínea de personas sanas. Los monocitos y los macrófagos presentes de manera abundante en el bazo, son las principales células que unen al lipopolisacárido a través del receptor TLR4, esto desencadena una gran producción de citocinas inflamatorias como el TNF-α, IL-1 e IL-6. Estudios recientes han demostrado que el TNF-α reduce la expresión de la adiponectina. La adiponectina es una hormona producida principalmente por el tejido adiposo, necesaria para evitar la resistencia a la insulina. El objetivo de este trabajo, fue estudiar el efecto del consumo crónico de alcohol, en el desarrollo de resistencia a la insulina ligada a una posible alteración en los niveles de adiponectina en sangre

Miradas contemporáneas de los pueblos originarios en México

Este libro resume una amplia discusión sobre el papel que tienen los grupos originarios en México y la condición de las etnias a lo largo del territorio nacional. Desde hace cientos de años los pueblos indígenas y afrodescendientes han sido excluidos del desarrollo central de México, y en mayor o menor medida, estos grupos han ocupado un lugar residual en las políticas públicas de los diferentes gobiernos, y sufrido de manera regular la discriminación por parte del resto de la población.CEDIPIEM, UAEMéx, BUAP, Center for Earth Ethic

Análisis del consumo crónico de etanol en el desarrollo de un fenotipo similar al de la diabetes tipo 1

En el citoplasma de las células de los eucariotes existen tres enzimas citoplasmáticas que para llevar a cabo su acción requieren de la coenzima NAD+. Estas enzimas son: la alcohol deshidrogenasa, la gliceraldehido 3-fosfato deshidrogenasa y la lactato deshidrogenasa. Esta propuesta de investigación se plantea partiendo de la teoría de que en una ingesta excesiva de alcohol, la enzima alcohol deshidrogenasa necesaria para biotransformar el etanol a acetaldehído, secuestraría todo el NAD+ citoplasmático, frenando la vía metabólica de la glucolisis y con ello disminuyendo la generación de adenosin trifosfato (ATP) y la liberación de insulina en las células beta pancreáticas. El presente trabajo abordó el estudio del consumo crónico de etanol en ratas Wistar en un posible desarrollo transitorio de un cuadro clínico similar al que se presenta en la diabetes mellitus tipo 1

Clustering COVID-19 ARDS patients through the first days of ICU admission. An analysis of the CIBERESUCICOVID Cohort

Background Acute respiratory distress syndrome (ARDS) can be classified into sub-phenotypes according to different inflammatory/clinical status. Prognostic enrichment was achieved by grouping patients into hypoinflammatory or hyperinflammatory sub-phenotypes, even though the time of analysis may change the classification according to treatment response or disease evolution. We aimed to evaluate when patients can be clustered in more than 1 group, and how they may change the clustering of patients using data of baseline or day 3, and the prognosis of patients according to their evolution by changing or not the cluster.Methods Multicenter, observational prospective, and retrospective study of patients admitted due to ARDS related to COVID-19 infection in Spain. Patients were grouped according to a clustering mixed-type data algorithm (k-prototypes) using continuous and categorical readily available variables at baseline and day 3.Results Of 6205 patients, 3743 (60%) were included in the study. According to silhouette analysis, patients were grouped in two clusters. At baseline, 1402 (37%) patients were included in cluster 1 and 2341(63%) in cluster 2. On day 3, 1557(42%) patients were included in cluster 1 and 2086 (57%) in cluster 2. The patients included in cluster 2 were older and more frequently hypertensive and had a higher prevalence of shock, organ dysfunction, inflammatory biomarkers, and worst respiratory indexes at both time points. The 90-day mortality was higher in cluster 2 at both clustering processes (43.8% [n = 1025] versus 27.3% [n = 383] at baseline, and 49% [n = 1023] versus 20.6% [n = 321] on day 3). Four hundred and fifty-eight (33%) patients clustered in the first group were clustered in the second group on day 3. In contrast, 638 (27%) patients clustered in the second group were clustered in the first group on day 3.Conclusions During the first days, patients can be clustered into two groups and the process of clustering patients may change as they continue to evolve. This means that despite a vast majority of patients remaining in the same cluster, a minority reaching 33% of patients analyzed may be re-categorized into different clusters based on their progress. Such changes can significantly impact their prognosis

Role of age and comorbidities in mortality of patients with infective endocarditis

[Purpose]: The aim of this study was to analyse the characteristics of patients with IE in three groups of age and to assess the ability of age and the Charlson Comorbidity Index (CCI) to predict mortality. [Methods]: Prospective cohort study of all patients with IE included in the GAMES Spanish database between 2008 and 2015.Patients were stratified into three age groups:<65 years,65 to 80 years,and ≥ 80 years.The area under the receiver-operating characteristic (AUROC) curve was calculated to quantify the diagnostic accuracy of the CCI to predict mortality risk. [Results]: A total of 3120 patients with IE (1327 < 65 years;1291 65-80 years;502 ≥ 80 years) were enrolled.Fever and heart failure were the most common presentations of IE, with no differences among age groups.Patients ≥80 years who underwent surgery were significantly lower compared with other age groups (14.3%,65 years; 20.5%,65-79 years; 31.3%,≥80 years). In-hospital mortality was lower in the <65-year group (20.3%,<65 years;30.1%,65-79 years;34.7%,≥80 years;p < 0.001) as well as 1-year mortality (3.2%, <65 years; 5.5%, 65-80 years;7.6%,≥80 years; p = 0.003).Independent predictors of mortality were age ≥ 80 years (hazard ratio [HR]:2.78;95% confidence interval [CI]:2.32–3.34), CCI ≥ 3 (HR:1.62; 95% CI:1.39–1.88),and non-performed surgery (HR:1.64;95% CI:11.16–1.58).When the three age groups were compared,the AUROC curve for CCI was significantly larger for patients aged <65 years(p < 0.001) for both in-hospital and 1-year mortality. [Conclusion]: There were no differences in the clinical presentation of IE between the groups. Age ≥ 80 years, high comorbidity (measured by CCI),and non-performance of surgery were independent predictors of mortality in patients with IE.CCI could help to identify those patients with IE and surgical indication who present a lower risk of in-hospital and 1-year mortality after surgery, especially in the <65-year group

The evolution of the ventilatory ratio is a prognostic factor in mechanically ventilated COVID-19 ARDS patients

Background: Mortality due to COVID-19 is high, especially in patients requiring mechanical ventilation. The purpose of the study is to investigate associations between mortality and variables measured during the first three days of mechanical ventilation in patients with COVID-19 intubated at ICU admission. Methods: Multicenter, observational, cohort study includes consecutive patients with COVID-19 admitted to 44 Spanish ICUs between February 25 and July 31, 2020, who required intubation at ICU admission and mechanical ventilation for more than three days. We collected demographic and clinical data prior to admission; information about clinical evolution at days 1 and 3 of mechanical ventilation; and outcomes. Results: Of the 2,095 patients with COVID-19 admitted to the ICU, 1,118 (53.3%) were intubated at day 1 and remained under mechanical ventilation at day three. From days 1 to 3, PaO2/FiO2 increased from 115.6 [80.0-171.2] to 180.0 [135.4-227.9] mmHg and the ventilatory ratio from 1.73 [1.33-2.25] to 1.96 [1.61-2.40]. In-hospital mortality was 38.7%. A higher increase between ICU admission and day 3 in the ventilatory ratio (OR 1.04 [CI 1.01-1.07], p = 0.030) and creatinine levels (OR 1.05 [CI 1.01-1.09], p = 0.005) and a lower increase in platelet counts (OR 0.96 [CI 0.93-1.00], p = 0.037) were independently associated with a higher risk of death. No association between mortality and the PaO2/FiO2 variation was observed (OR 0.99 [CI 0.95 to 1.02], p = 0.47). Conclusions: Higher ventilatory ratio and its increase at day 3 is associated with mortality in patients with COVID-19 receiving mechanical ventilation at ICU admission. No association was found in the PaO2/FiO2 variation