Amour malheureux

Heureux qui pres de toi doupire et qui t\u27enflame de ses feux:heureux qui te voit lui sourire et qui lit son sort dans tes yeux.reduit a bruler en silence je n\u27ai pas le meme bonheur:on peut aimer sans esperance, si j\u27en juge d\u27apres mon coeur. 2eCHa! que n\u27es-tu simple bergereGardant comme nous des troupeaux:Que n\u27es-tu dans une chaumiereTournant de restiques fuseaux,J\u27oserois dire que je t\u27aime.Mais pour moi seroit-ce un bonheur?Tant d\u27autres le diroient de meme,Si j\u27en juge d\u27apres mon coeur. 3eCJ\u27irai dans un desert sauvageM\u27occuper de ton souvenir;J\u27y porterai ta douce imageEt rien ne pourra la bannir.Je chanterai le tems paisible Ou ta vue a fait mon bonheur;Ton nom rendra l\u27echo sensible,Si j\u27en juge d\u27apres mon coeur

Identificación molecular del subtipo del virus de Influenza A circulante en la cabaña de porcinos en España mediante PCR en tiempo real y secuenciación

El virus de la Influenza A es el patógeno responsable de la gripe porcina (SIV), una enfermedad respiratoria con alta prevalencia en las explotaciones en nuestro país y en donde ocasiona importantes pérdidas económicas. Durante las últimas décadas, se han descritoprincipalmente cuatro subtipos virales de SIV (H1avN1, H1huN2, H3N2 y H1N1pdm), circulando entre la población porcina europea. Sin embargo, la rápida evolución de estos agentes ha dado lugar a la aparición de nuevos subtipos por procesos de recombinación genética característicos de estos virus.La realización del presente estudio ha permitido identificar mediante RT-qPCR, el subtipo del 94% (124/132) de casos clínicos positivos a SIV procedentes de granjas españolas y recibidos en el laboratorio Exopol durante el año 2020. Entre los subtipos identificados, el H1avN2 (43%) fue el más frecuente, un resultado similar a lo descrito por Sosa Portugal y col.en años previos en porcinos de la península ibérica. En otros países europeos, sin embargo, el subtipo H1avN1 sigue siendo el subtipo más extendido. El resto de subtipos identificados en nuestro trabajo fueron los siguientes: H1huN2 (16%), H1avN1 (10%), H3N1 (11%), H3N2 (10%), y H1pdmN1pdm (2%). La diversidad genética de los SIV identificados en el presente estudio fue evaluada mediante secuenciación Sanger de los genes HA y NA. Un total de 29 secuencias para el gen HA y 36 secuencias para el gen NA fueron obtenidas de casos clínicos procedentes de distintas provincias españolas. El análisis filogenético de las secuencias demostró una mayor similitud con secuencias de cepas españolas descritas en años previos que con cepas de SIV originarias de otros países europeos. Además, el gen NA se encuentra generalmente más conservado que el gen HA, aunque en este caso, las secuencias de tipo H3 presentaron la mayor similitudnucleotídica. La vigilancia continua de los SIV es de gran importancia para la industria porcina, tanto para monitorear la evolución del virus que cambia rápidamente, como para conocer la situación epidemiológica de una región o un país. Es por estos motivos que los datos obtenidos en este trabajo no sólo nos han permitido confirmar la circulación de las tres cepas clásicas porcinas, sino que también han constituido la primera descripción de una nueva cepa H1pdmN1 en la cabaña porcina española.<br /

A comparison of the clinical characteristics of short-, mid-, and long-term mortality in patients attended by the emergency medical services: an observational study

Producción CientíficaAim: The development of predictive models for patients treated by emergency medical services (EMS) is on the rise in the emergency field. However, how these models evolve over time has not been studied. The objective of the present work is to compare the characteristics of patients who present mortality in the short, medium and long term, and to derive and validate a predictive model for each mortality time. Methods: A prospective multicenter study was conducted, which included adult patients with unselected acute illness who were treated by EMS. The primary outcome was noncumulative mortality from all causes by time windows including 30-day mortality, 31- to 180-day mortality, and 181- to 365-day mortality. Prehospital predictors included demographic variables, standard vital signs, prehospital laboratory tests, and comorbidities. Results: A total of 4830 patients were enrolled. The noncumulative mortalities at 30, 180, and 365 days were 10.8%, 6.6%, and 3.5%, respectively. The best predictive value was shown for 30-day mortality (AUC = 0.930; 95% CI: 0.919–0.940), followed by 180-day (AUC = 0.852; 95% CI: 0.832–0.871) and 365-day (AUC = 0.806; 95% CI: 0.778–0.833) mortality. Discussion: Rapid characterization of patients at risk of short-, medium-, or long-term mortality could help EMS to improve the treatment of patients suffering from acute illnesses.Junta de Castilla y León, Gerencia Regional de Salud - (grant GRS 1903/A/19 and GRS 2131/A/20

High-Throughput High-Resolution Class I HLA Genotyping in East Africa

HLA, the most genetically diverse loci in the human genome, play a crucial role in host-pathogen interaction by mediating innate and adaptive cellular immune responses. A vast number of infectious diseases affect East Africa, including HIV/AIDS, malaria, and tuberculosis, but the HLA genetic diversity in this region remains incompletely described. This is a major obstacle for the design and evaluation of preventive vaccines. Available HLA typing techniques, that provide the 4-digit level resolution needed to interpret immune responses, lack sufficient throughput for large immunoepidemiological studies. Here we present a novel HLA typing assay bridging the gap between high resolution and high throughput. The assay is based on real-time PCR using sequence-specific primers (SSP) and can genotype carriers of the 49 most common East African class I HLA-A, -B, and -C alleles, at the 4-digit level. Using a validation panel of 175 samples from Kampala, Uganda, previously defined by sequence-based typing, the new assay performed with 100% sensitivity and specificity. The assay was also implemented to define the HLA genetic complexity of a previously uncharacterized Tanzanian population, demonstrating its inclusion in the major East African genetic cluster. The availability of genotyping tools with this capacity will be extremely useful in the identification of correlates of immune protection and the evaluation of candidate vaccine efficacy

Elucidating Poor Decision-Making in a Rat Gambling Task

Although poor decision-making is a hallmark of psychiatric conditions such as attention deficit/hyperactivity disorder, pathological gambling or substance abuse, a fraction of healthy individuals exhibit similar poor decision-making performances in everyday life and specific laboratory tasks such as the Iowa Gambling Task. These particular individuals may provide information on risk factors or common endophenotypes of these mental disorders. In a rodent version of the Iowa gambling task – the Rat Gambling Task (RGT), we identified a population of poor decision makers, and assessed how these rats scored for several behavioral traits relevant to executive disorders: risk taking, reward seeking, behavioral inflexibility, and several aspects of impulsivity. First, we found that poor decision-making could not be well predicted by single behavioral and cognitive characteristics when considered separately. By contrast, a combination of independent traits in the same individual, namely risk taking, reward seeking, behavioral inflexibility, as well as motor impulsivity, was highly predictive of poor decision-making. Second, using a reinforcement-learning model of the RGT, we confirmed that only the combination of extreme scores on these traits could induce maladaptive decision-making. Third, the model suggested that a combination of these behavioral traits results in an inaccurate representation of rewards and penalties and inefficient learning of the environment. Poor decision-making appears as a consequence of the over-valuation of high-reward-high-risk options in the task. Such a specific psychological profile could greatly impair clinically healthy individuals in decision-making tasks and may predispose to mental disorders with similar symptoms