On innate and specific aspects of human language

Mixel Aurnague, Kepa Korta and Jesus M. Larrazabal (eds.)

Gen LPP : Avances en el conocimiento de uno de los genes candidato de la enfermedad celíaca

[ES] La enfermedad celíaca (EC) es una enteropatía autoinmune de predisposición genética, producida por la ingestión en la dieta de péptidos derivados de cereales como el trigo o la cebada. Aunque se creía que afectaba casi de forma exclusiva a los individuos europeos (1%), actualmente se conocen casos en todo el mundo. El modelo patogénico se centra en los mecanismos de la inmunidad adaptativa dependientes de la estimulación de linfocitos T CD4+ reactivos, pero existe además un efecto tóxico directo del gluten sobre el epitelio intestinal, dependiente de la inmunidad innata. La participación de la Genética en la susceptibilidad a la enfermedad es conocida desde hace tiempo, siendo el locus HLA el que explica aproximadamente el 40% del componente genético de la enfermedad. Para tratar de identificar otros genes con susceptibilidad, se han venido realizando múltiples esfuerzos durante los últimos años. Uno de los últimos, llevado a cabo en 2011, fue el Proyecto Immunochip. En él, se analizaron más de 200.000 variantes y se descubrieron 13 nuevos loci de riesgo para la EC, que junto con los descubiertos en anteriores trabajos y el locus HLA, daban un total de 40 loci de riesgo. Entre ellos, se encontraba la región que ocupa el gen LPP . Localizado en el cromosoma 3, un estudio reciente lo vincula con los procesos de adhesión celular en el intestino. En el presente trabajo, se ha estudiado el efecto de la gliadina sobre la expresión del gen de interés (LPP ) y el posible efecto de un silenciamiento del mismo sobre dos genes relacionados con las uniones celulares (ACTB y TJP1). En el caso de la gliadina, no se halló un cambio significativo en la expresión del gen. Mientras, los resultados del efecto del silenciamiento fueron dispares, no siendo concluyentes para el gen ACTB, pero encontrando una posible asociación entre los genes LPP y TJP1.

Analysis of channel quality reporting mechanisms and their impact into 4G and beyond technologies

206 p.

Spatial-temporal excess mortality patterns of the 1918-1919 influenza pandemic in Spain

Background: The impact of socio-demographic factors and baseline health on the mortality burden of seasonal and pandemic influenza remains debated. Here we analyzed the spatial-temporal mortality patterns of the 1918 influenza pandemic in Spain, one of the countries of Europe that experienced the highest mortality burden. Methods: We analyzed monthly death rates from respiratory diseases and all-causes across 49 provinces of Spain, including the Canary and Balearic Islands, during the period January-1915 to June-1919. We estimated the influenza-related excess death rates and risk of death relative to baseline mortality by pandemic wave and province. We then explored the association between pandemic excess mortality rates and health and socio-demographic factors, which included population size and age structure, population density, infant mortality rates, baseline death rates, and urbanization. Results: Our analysis revealed high geographic heterogeneity in pandemic mortality impact. We identified 3 pandemic waves of varying timing and intensity covering the period from Jan-1918 to Jun-1919, with the highest pandemic-related excess mortality rates occurring during the months of October-November 1918 across all Spanish provinces. Cumulative excess mortality rates followed a south-north gradient after controlling for demographic factors, with the North experiencing highest excess mortality rates. A model that included latitude, population density, and the proportion of children living in provinces explained about 40% of the geographic variability in cumulative excess death rates during 1918-19, but different factors explained mortality variation in each wave. Conclusions: A substantial fraction of the variability in excess mortality rates across Spanish provinces remained unexplained, which suggests that other unidentified factors such as comorbidities, climate and background immunity may have affected the 1918-19 pandemic mortality rates. Further archeo-epidemiological research should concentrate on identifying settings with combined availability of local historical mortality records and information on the prevalence of underlying risk factors, or patient-level clinical data, to further clarify the drivers of 1918 pandemic influenza mortality.

Robust Sliding Control of SEIR Epidemic Models

This paper is aimed at designing a robust vaccination strategy capable of eradicating an infectious disease from a population regardless of the potential uncertainty in the parameters defining the disease. For this purpose, a control theoretic approach based on a sliding-mode control law is used. Initially, the controller is designed assuming certain knowledge of an upper-bound of the uncertainty signal. Afterwards, this condition is removed while an adaptive sliding control system is designed. The closed-loop properties are proved mathematically in the nonadaptive and adaptive cases. Furthermore, the usual sign function appearing in the sliding-mode control is substituted by the saturation function in order to prevent chattering. In addition, the properties achieved by the closed-loop system under this variation are also stated and proved analytically. The closed-loop system is able to attain the control objective regardless of the parametric uncertainties of the model and the lack of a priori knowledge on the system.