Evolution of the spermadhesin gene family

Spermadhesins belong to a novel family of secretory proteins of the male genital tract. They are major proteins of the seminal plasma and have been found peripherally associated to the sperm surface. So far, they have only been detected in ungulates, specifically in pig, cattle, and horse, respectively. Spermadhesins form a subgroup of the superfamily of proteins with a CUB-domain that has been found in a variety of developmentally regulated proteins. The structure and function of the spermadhesins have been investigated in the pig. They are multifunctional proteins showing a range of ligand-binding abilities, e.g. to carbohydrates, phospholipids, and protease inhibitors, suggesting that they may be involved in different steps of fertilization. We report here the genomic organization of the porcine spermadhesin gene cluster as well as a detailed comparative analysis with respect to other mammalian species. The porcine spermadhesin genes are located on SSC 14q28-q29 in a region syntenic to HSA 10q26. The pig contains five closely linked spermadhesin genes, whereas only two spermadhesin genes are present in the cattle genome. Inactive copies of spermadhesin genes are still detectable in the human, chimp, and dog genome while the corresponding region was lost from the rodent genomes of mouse and rat. Within the pig, the five spermadhesin genes contain both highly diverged and highly conserved regions. Interestingly, the pattern of divergence does not correlate with the position of the exons. Evolutionary analyses suggest that the pattern of diversity is shaped by ancestral variation, recombination, and new mutations.

An EAR-motif-containing ERF transcription factor affects herbivore-induced signaling, defense and resistance in rice

Ethylene responsive factors (ERFs) are a large family of plant-specific transcription factors that are involved in the regulation of plant development and stress responses. However, little to nothing is known about their role in herbivore-induced defense. We discovered a nucleus-localized ERF gene in rice (Oryza sativa), OsERF3, that was rapidly up-regulated in response to feeding by the rice striped stem borer (SSB) Chilo suppressalis. Antisense and over-expression of OsERF3 revealed that it positively affects transcript levels of two mitogen-activated protein kinases (MAPKs) and two WRKY genes as well as concentrations of jasmonate (JA), salicylate (SA) and the activity of trypsin protease inhibitors (TrypPIs). OsERF3 was also found to mediate the resistance of rice to SSB. On the other hand, OsERF3 was slightly suppressed by the rice brown planthopper (BPH) Nilaparvata lugens (Stål) and increased susceptibility to this piercing sucking insect, possibly by suppressing H2O2 biosynthesis. We propose that OsERF3 affects early components of herbivore-induced defense responses by suppressing MAPK repressors and modulating JA, SA, ethylene and H2O2 pathways as well as plant resistance. Our results also illustrate that OsERF3 acts as a central switch that gears the plant’s metabolism towards an appropriate response to chewing or piercing/sucking insects.

The Chloroplast-Localized Phospholipases D a4 and a5 Regulate Herbivore-Induced Direct and Indirect Defenses in Rice

The oxylipin pathway is of central importance for plant defensive responses. Yet, the first step of the pathway, the liberation of linolenic acid following induction, is poorly understood. Phospholipases D (PLDs) have been hypothesized to mediate this process, but data from Arabidopsis (Arabidopsis thaliana) regarding the role of PLDs in plant resistance have remained controversial. Here, we cloned two chloroplast-localized PLD genes from rice (Oryza sativa), OsPLDα4 and OsPLDα5, both of which were up-regulated in response to feeding by the rice striped stem borer (SSB) Chilo suppressalis, mechanical wounding, and treatment with jasmonic acid (JA). Antisense expression of OsPLDα4 and -α5 (as-pld), which resulted in a 50% reduction of the expression of the two genes, reduced elicited levels of linolenic acid, JA, green leaf volatiles, and ethylene and attenuated the SSB-induced expression of a mitogen-activated protein kinase (OsMPK3), a lipoxygenase (OsHI-LOX), a hydroperoxide lyase (OsHPL3), as well as a 1-aminocyclopropane-1-carboxylic acid synthase (OsACS2). The impaired oxylipin and ethylene signaling in as-pld plants decreased the levels of herbivore-induced trypsin protease inhibitors and volatiles, improved the performance of SSB and the rice brown planthopper Nilaparvata lugens, and reduced the attractiveness of plants to a larval parasitoid of SSB, Apanteles chilonis. The production of trypsin protease inhibitors in as-pld plants could be partially restored by JA, while the resistance to rice brown planthopper and SSB was restored by green leaf volatile application. Our results show that phospholipases function as important components of herbivore-induced direct and indirect defenses in rice.

The transcription factor nuclear factor kappa B (NFkappaB) maintains TRAIL resistance in human pancreatic cancer cells

Tumor necrosis factor (TNF)-related apoptosis-inducing ligand (TRAIL/Apo2L) is a member of the TNF family of cytokines that induces apoptosis in a variety of tumor cells while sparing normal cells. However, many human cancer cell lines display resistance to TRAIL-induced apoptosis and the mechanisms contributing to resistance remain controversial. Previous studies have demonstrated that the dimeric transcription factor Nuclear Factor kappa B (NFκB) is constitutively active in a majority of human pancreatic cancer cell lines and primary tumors, and although its role in tumor progression remains unclear it has been suggested that NFκB contributes to TRAIL resistance. Based on this, I examined the effects of NFκB inhibitors on TRAIL sensitivity in a panel of nine pancreatic cancer cell lines. I show here that inhibitors of NFκB, including two inhibitors of the proteasome (bortezomib (Velcade™, PS-341) and NPI-0052), a small molecule inhibitor of IKK (PS1145), and a novel synthetic diterpene NIK inhibitor (NPI-1342) reverse TRAIL resistance in pancreatic cancer cell lines. Further analysis revealed that the expression of the anti-apoptosic proteins BclXL and XIAP was significantly decreased following exposure to these inhibitors alone and in combination with TRAIL. Additionally, treatment with NPI0052 and TRAIL significantly reduced tumor burden relative to the control tumors in an L3.6pl orthotopic pancreatic xenograft model. This was associated with a significant decrease in proliferation and an increase in caspase 3 and 8 cleavage. Combination therapy employing PS1145 or NPI-1342 in combination with TRAIL also resulted in a significant reduction in tumor burden compared to either agent alone in a Panc1 orthotopic xenograft model. My studies show that combination therapy with inhibitors of NFκB alone and TRAIL is effective in pre-clinical models of pancreatic cancer and suggests that the approach should be evaluated in patients. ^

Adherence to HIV /AIDS therapies among low -literacy populations: The ALP project

Adherence to HIV/AIDS therapies has been an important health problem since the early 1980s when AZT was first prescribed as a therapy for HIV/AIDS. It became particularly important between 1995 and 1997 with the advent of protease inhibitors (Chesney, Ickovics, Hecht, Sikipa, & Rabkin J., 1999) and became even more significant as persons with HIV/AIDS began to develop resistance to medications. Low-literacy populations have poorer health (Brez & Taylor, 1997) and higher AIDS rates (Simon, Hu, Diaz, & Kerndt, 1995), than their higher literacy counterparts due to delayed treatment (Baker, Parker, Williams, Clark, & Nurss, 1997), shame of literacy skills (Parikh, 1996), and poor access to care (Williams, et al., 1995). Poorer health and higher AIDS rates can also be attributed to poor patient-provider relationships (Crespo-Fierro, 1997; Eldred, Wu, Chaisson, & Moore, 1998) to a poorer understanding of medical protocols (Murphy, 1997), and inadequate patient education (Ungvarski, 1997; Davis, Michielutte, Askov, Williams, & Weiss, 1998, Doak, Doak, & Root, 1996). ^ The ALP intervention was developed for HIV positive low-literacy populations of African American women in Houston, Texas. The intervention was based on a needs assessment, using the PRECEDE model, an innovative process referred to as Intervention Mapping, and validated using formative evaluation methods with 54 individuals. The needs assessment resulted in a list of behavioral, environmental, predisposing, enabling, and reinforcing determinants of adherence. The Intervention Mapping framework was used to refine these determinants and develop a list of objectives describing what must be learned or changed to for the target population to adhere to HIV/AIDS therapies. Methods and strategies, were developed using theoretical constructs from the Health Belief Model (Rosenstock, 1974) and Social Cognitive Theory (Bandura, 1986). These theories, empirical evidence, and information from the target population indicated that perceived susceptibility, perceived severity, outcome expectations, and self-efficacy were important and changeable determinants of adherence to HIV/AIDS therapies for this population. ^ These components were brought together in the form of a theory-based color cartoon book and 10-minute cassette tape. The book was developed for people with 2.9 years of U.S. education as measured with the Flesch-Kincaid Grade Level method and the script was recorded onto a cassette tape to make it suitable for populations with even lower-literacy skills. A formative evaluation was conducted to ensure that the content and structure were accurate, clear, realistic, readable, appropriate, and likely to be used as intended. ^

Determinación de la actividad de la óxido nítrico sintetasa endotelial y del factor NF-kB, en la piel del paciente con pseudoangiomatosis eruptiva : informe preliminar

La pseudoangiomatosis eruptiva se caracteriza por la aparición brusca de múltiples pápulas eritematosas, asintomáticas, rodeadas de un halo blanquecino, con remisión espontánea. Histológicamente se observa dilatación vascular con escaso infiltrado inflamatorio. Su etiología permanece incierta a pesar de ser relacionada con virus o picaduras de insectos. Basados en el compromiso vascular, el objetivo del trabajo fue investigar la actividad de la enzima endotelial oxido nítrico sintetasa (eNOS) y la expresión del factor NF-kB por inmunohistoquimica en un intento de esclarecer su patogenia. Material y métodos: Se estudiaron diez pacientes con diagnóstico clínico de pseudoangiomatosis eruptiva (PAE) que presentaron la dermatosis en forma epidémica. Se realizaron biopsias teñidas con Hematoxilina-Eosina y Tricrómico de Masson. Se efectuó estudio virológico de los pacientes Nª 4, 9 y 10 mediante determinaciones serológicas para echovirus, enterovirus, citomegalovirus, parvovirus B19 y hepatitis A, B y C. En cinco pacientes se obtuvo material para determinación de eNOS y NF-kB. Resultados: Todos los pacientes, 5 hombres y 5 mujeres presentaron pápulas eritematosas rodeadas por un halo blanquecino, especialmente en las extremidades, alrededor de las rodillas. Histológicamente mostraron vasos dilatados y células endoteliales prominentes con un infiltrado discreto perivascular. Todos los estudios serológicos fueron negativos. La actividad de eNOS fue significativamente menor comparada con la piel normal (p= 0,002) y la expresión de NF- ĸB fue fuertemente positiva en los vasos de la dermis papilar y reticular. Conclusiones: Todos los pacientes fueron afectados en verano, por lo que la picadura del mosquito debe ser considerada como un factor etiológico. La baja expresión de eNOS está relacionada con la vasodilatación y la expresión aumentada de NF-ĸB confirma que el proceso es de tipo inflamatorio.

Multi-dimensional classification using Bayesian networks for stationary and evolving streaming data

Hoy en día, con la evolución continua y rápida de las tecnologías de la información y los dispositivos de computación, se recogen y almacenan continuamente grandes volúmenes de datos en distintos dominios y a través de diversas aplicaciones del mundo real. La extracción de conocimiento útil de una cantidad tan enorme de datos no se puede realizar habitualmente de forma manual, y requiere el uso de técnicas adecuadas de aprendizaje automático y de minería de datos. La clasificación es una de las técnicas más importantes que ha sido aplicada con éxito a varias áreas. En general, la clasificación se compone de dos pasos principales: en primer lugar, aprender un modelo de clasificación o clasificador a partir de un conjunto de datos de entrenamiento, y en segundo lugar, clasificar las nuevas instancias de datos utilizando el clasificador aprendido. La clasificación es supervisada cuando todas las etiquetas están presentes en los datos de entrenamiento (es decir, datos completamente etiquetados), semi-supervisada cuando sólo algunas etiquetas son conocidas (es decir, datos parcialmente etiquetados), y no supervisada cuando todas las etiquetas están ausentes en los datos de entrenamiento (es decir, datos no etiquetados). Además, aparte de esta taxonomía, el problema de clasificación se puede categorizar en unidimensional o multidimensional en función del número de variables clase, una o más, respectivamente; o también puede ser categorizado en estacionario o cambiante con el tiempo en función de las características de los datos y de la tasa de cambio subyacente. A lo largo de esta tesis, tratamos el problema de clasificación desde tres perspectivas diferentes, a saber, clasificación supervisada multidimensional estacionaria, clasificación semisupervisada unidimensional cambiante con el tiempo, y clasificación supervisada multidimensional cambiante con el tiempo. Para llevar a cabo esta tarea, hemos usado básicamente los clasificadores Bayesianos como modelos. La primera contribución, dirigiéndose al problema de clasificación supervisada multidimensional estacionaria, se compone de dos nuevos métodos de aprendizaje de clasificadores Bayesianos multidimensionales a partir de datos estacionarios. Los métodos se proponen desde dos puntos de vista diferentes. El primer método, denominado CB-MBC, se basa en una estrategia de envoltura de selección de variables que es voraz y hacia delante, mientras que el segundo, denominado MB-MBC, es una estrategia de filtrado de variables con una aproximación basada en restricciones y en el manto de Markov. Ambos métodos han sido aplicados a dos problemas reales importantes, a saber, la predicción de los inhibidores de la transcriptasa inversa y de la proteasa para el problema de infección por el virus de la inmunodeficiencia humana tipo 1 (HIV-1), y la predicción del European Quality of Life-5 Dimensions (EQ-5D) a partir de los cuestionarios de la enfermedad de Parkinson con 39 ítems (PDQ-39). El estudio experimental incluye comparaciones de CB-MBC y MB-MBC con los métodos del estado del arte de la clasificación multidimensional, así como con métodos comúnmente utilizados para resolver el problema de predicción de la enfermedad de Parkinson, a saber, la regresión logística multinomial, mínimos cuadrados ordinarios, y mínimas desviaciones absolutas censuradas. En ambas aplicaciones, los resultados han sido prometedores con respecto a la precisión de la clasificación, así como en relación al análisis de las estructuras gráficas que identifican interacciones conocidas y novedosas entre las variables. La segunda contribución, referida al problema de clasificación semi-supervisada unidimensional cambiante con el tiempo, consiste en un método nuevo (CPL-DS) para clasificar flujos de datos parcialmente etiquetados. Los flujos de datos difieren de los conjuntos de datos estacionarios en su proceso de generación muy rápido y en su aspecto de cambio de concepto. Es decir, los conceptos aprendidos y/o la distribución subyacente están probablemente cambiando y evolucionando en el tiempo, lo que hace que el modelo de clasificación actual sea obsoleto y deba ser actualizado. CPL-DS utiliza la divergencia de Kullback-Leibler y el método de bootstrapping para cuantificar y detectar tres tipos posibles de cambio: en las predictoras, en la a posteriori de la clase o en ambas. Después, si se detecta cualquier cambio, un nuevo modelo de clasificación se aprende usando el algoritmo EM; si no, el modelo de clasificación actual se mantiene sin modificaciones. CPL-DS es general, ya que puede ser aplicado a varios modelos de clasificación. Usando dos modelos diferentes, el clasificador naive Bayes y la regresión logística, CPL-DS se ha probado con flujos de datos sintéticos y también se ha aplicado al problema real de la detección de código malware, en el cual los nuevos ficheros recibidos deben ser continuamente clasificados en malware o goodware. Los resultados experimentales muestran que nuestro método es efectivo para la detección de diferentes tipos de cambio a partir de los flujos de datos parcialmente etiquetados y también tiene una buena precisión de la clasificación. Finalmente, la tercera contribución, sobre el problema de clasificación supervisada multidimensional cambiante con el tiempo, consiste en dos métodos adaptativos, a saber, Locally Adpative-MB-MBC (LA-MB-MBC) y Globally Adpative-MB-MBC (GA-MB-MBC). Ambos métodos monitorizan el cambio de concepto a lo largo del tiempo utilizando la log-verosimilitud media como métrica y el test de Page-Hinkley. Luego, si se detecta un cambio de concepto, LA-MB-MBC adapta el actual clasificador Bayesiano multidimensional localmente alrededor de cada nodo cambiado, mientras que GA-MB-MBC aprende un nuevo clasificador Bayesiano multidimensional. El estudio experimental realizado usando flujos de datos sintéticos multidimensionales indica los méritos de los métodos adaptativos propuestos. ABSTRACT Nowadays, with the ongoing and rapid evolution of information technology and computing devices, large volumes of data are continuously collected and stored in different domains and through various real-world applications. Extracting useful knowledge from such a huge amount of data usually cannot be performed manually, and requires the use of adequate machine learning and data mining techniques. Classification is one of the most important techniques that has been successfully applied to several areas. Roughly speaking, classification consists of two main steps: first, learn a classification model or classifier from an available training data, and secondly, classify the new incoming unseen data instances using the learned classifier. Classification is supervised when the whole class values are present in the training data (i.e., fully labeled data), semi-supervised when only some class values are known (i.e., partially labeled data), and unsupervised when the whole class values are missing in the training data (i.e., unlabeled data). In addition, besides this taxonomy, the classification problem can be categorized into uni-dimensional or multi-dimensional depending on the number of class variables, one or more, respectively; or can be also categorized into stationary or streaming depending on the characteristics of the data and the rate of change underlying it. Through this thesis, we deal with the classification problem under three different settings, namely, supervised multi-dimensional stationary classification, semi-supervised unidimensional streaming classification, and supervised multi-dimensional streaming classification. To accomplish this task, we basically used Bayesian network classifiers as models. The first contribution, addressing the supervised multi-dimensional stationary classification problem, consists of two new methods for learning multi-dimensional Bayesian network classifiers from stationary data. They are proposed from two different points of view. The first method, named CB-MBC, is based on a wrapper greedy forward selection approach, while the second one, named MB-MBC, is a filter constraint-based approach based on Markov blankets. Both methods are applied to two important real-world problems, namely, the prediction of the human immunodeficiency virus type 1 (HIV-1) reverse transcriptase and protease inhibitors, and the prediction of the European Quality of Life-5 Dimensions (EQ-5D) from 39-item Parkinson’s Disease Questionnaire (PDQ-39). The experimental study includes comparisons of CB-MBC and MB-MBC against state-of-the-art multi-dimensional classification methods, as well as against commonly used methods for solving the Parkinson’s disease prediction problem, namely, multinomial logistic regression, ordinary least squares, and censored least absolute deviations. For both considered case studies, results are promising in terms of classification accuracy as well as regarding the analysis of the learned MBC graphical structures identifying known and novel interactions among variables. The second contribution, addressing the semi-supervised uni-dimensional streaming classification problem, consists of a novel method (CPL-DS) for classifying partially labeled data streams. Data streams differ from the stationary data sets by their highly rapid generation process and their concept-drifting aspect. That is, the learned concepts and/or the underlying distribution are likely changing and evolving over time, which makes the current classification model out-of-date requiring to be updated. CPL-DS uses the Kullback-Leibler divergence and bootstrapping method to quantify and detect three possible kinds of drift: feature, conditional or dual. Then, if any occurs, a new classification model is learned using the expectation-maximization algorithm; otherwise, the current classification model is kept unchanged. CPL-DS is general as it can be applied to several classification models. Using two different models, namely, naive Bayes classifier and logistic regression, CPL-DS is tested with synthetic data streams and applied to the real-world problem of malware detection, where the new received files should be continuously classified into malware or goodware. Experimental results show that our approach is effective for detecting different kinds of drift from partially labeled data streams, as well as having a good classification performance. Finally, the third contribution, addressing the supervised multi-dimensional streaming classification problem, consists of two adaptive methods, namely, Locally Adaptive-MB-MBC (LA-MB-MBC) and Globally Adaptive-MB-MBC (GA-MB-MBC). Both methods monitor the concept drift over time using the average log-likelihood score and the Page-Hinkley test. Then, if a drift is detected, LA-MB-MBC adapts the current multi-dimensional Bayesian network classifier locally around each changed node, whereas GA-MB-MBC learns a new multi-dimensional Bayesian network classifier from scratch. Experimental study carried out using synthetic multi-dimensional data streams shows the merits of both proposed adaptive methods.

Efecto sobre el rendimiento productivo y calidad de la canal de la inclusión de guisantes (Pisum sativum) y alberjón (Vicia narbonensis) en el pienso de lechones y cerdos de cebo

Las leguminosas grano presentan un perfil nutricional de gran interés para alimentación de ganado porcino, debido principalmente a su elevado contenido proteico. Sin embargo, la presencia de factores antinutritivos (FAN), que según el género difieren en calidad y cantidad, condiciona la absorción de la proteína, el nutriente más valorado. El objetivo de esta Tesis Doctoral ha sido el estudio del efecto de los principales FAN de guisante y alberjón sobre el rendimiento productivo, de canal y de piezas nobles, cuando sustituyen a la soja, parcial o totalmente, durante la fase estárter y el periodo de engorde de cerdos grasos. Con este motivo se llevaron a cabo 4 ensayos con machos castrados y la misma línea genética: híbrido Duroc x (Landrace x Large white). En el ensayo 1, se estudió la influencia de distintos niveles de inhibidores de proteasas (IP) en el pienso sobre la productividad de lechones durante la fase estárter (40 a 61 días de edad). Para ello, se utilizaron tres variedades de guisantes de invierno que contenían diferentes cantidades de IP, tanto de tripsina (IT) como de quimotripsina (IQ) [unidades de tripsina inhibida/mg (UTI), unidades de quimotripsina inhibida/mg (UQI): 9,87- 10,16, 5,75-8,62 y 12,55-15,75, para guisantes Cartouche, Iceberg y Luna, respectivamente] más elevadas que en la harina de soja 47 (HnaS) y en la soja extrusionada (SE) (UTI/mg - UQI/mg: 0,61-3,56 y 2,36-4,65, para HnaS y SE, respectivamente). El diseño experimental fue al azar, con cuatro tratamientos dietéticos que diferían en las fuentes proteicas y en la cantidad de IP, enfrentando un pienso control de soja a otros tres piensos con guisantes de invierno de las variedades indicadas, que sustituían parcialmente a la soja. Cada tratamiento se replicó cuatro veces, siendo la celda con 6 lechones la unidad experimental. Los animales que consumieron el pienso con guisante Cartouche tuvieron más ganancia media diaria (GMD) que el resto (P < 0,001) con el mismo consumo medio diario (CMD) e índice de conversión (IC). No hubo diferencias significativas entre los animales del pienso control y los que consumieron piensos con guisantes Iceberg y Luna. En el ensayo 2 la leguminosa objeto de estudio fue el alberjón y su FAN el dipéptido _Glutamyl-S-Ethenyl-Cysteine (GEC). El diseño y el periodo experimental fueron los mismos que en el ensayo 1, con cuatro dietas que variaban en el porcentaje de alberjones: 0%, 5%, 15% y 25%, y de GEC (1,54% del grano). Los lechones que consumieron el pienso con 5% tuvieron un CMD y GMD más elevado (P < 0,001), con el mismo IC que los animales pertenecientes al tratamiento 0%. Los índices productivos empeoraron significativamente y de manera progresiva al aumentar el porcentaje de alberjones (15 y 25%). Se obtuvieron ecuaciones de regresión con estructura polinomial que fueron significativas tanto para el nivel de alberjón como para la cantidad de GEC presente en el pienso. El ensayo 3 se efectuó durante el periodo de engorde, sustituyendo por completo la soja a partir de los 84 días de edad con las tres variedades de guisantes de invierno, observando el efecto sobre el rendimiento productivo, de canal y piezas nobles. El diseño, en bloques completos al azar, tuvo cuatro tratamientos según el guisante presente en el pienso y, por lo tanto, los niveles de IP: Control-soja, Cartouche, Iceberg y Luna, con 12 réplicas de 4 cerdos por tratamiento. De 84 a 108 días de edad los animales que consumieron los piensos Control-soja e Iceberg, tuvieron el mismo CMD y GMD, empeorando en los cerdos alimentados con Luna y Cartouche (P < 0,05). El IC fue igual en los tratamientos Control-soja e Iceberg, ocupando una posición intermedia en Cartouche y peor en los cerdos del pienso Luna (P < 0,001). De 109 a 127 días de edad la GMD y el IC fueron iguales, con un CMD más elevado en Control-soja e Iceberg que en los cerdos que consumieron Cartouche y Luna (P < 0,05). No hubo diferencias significativas durante el acabado (128 a 167 días de edad). Globalmente el CMD y GMD fueron más elevados en los cerdos que comieron los piensos Iceberg y Control-soja, empeorando por igual en los que comieron Cartouche y Luna (P < 0,05); el IC fue el mismo en todos los tratamientos. No se observaron diferencias en los datos relacionados con peso y rendimiento de canal y piezas nobles (jamón, paleta y chuletero), ni del contenido de grasa intramuscular en el lomo y proporción de ácidos grasos principales (C16:0, C18:0, C18:1n-9) en la grasa subcutánea. En el ensayo 4, realizado durante el periodo de engorde (60 a 171 días de edad), se valoró el efecto de dietas con distintos niveles de alberjones, y en consecuencia de su factor antinutritivo el dipéptido GEC, sobre el rendimiento productivo y la calidad de la canal y piezas nobles. El diseño fue en cuatro bloques completos al azar, con cuatro tratamientos según el porcentaje de inclusión de alberjón en el pienso: 0%, 5%, 15% y 25%, con 12 réplicas por tratamiento y cuatro cerdos en cada una de ellas. El tratamiento con 5% mejoró la GMD al final de la fase de cebo (152 días de vida) y, junto con el 0%, presentaron los resultados más favorables de peso e IC al final del ensayo (171 días de vida). Del mismo modo, el peso y rendimiento de canal fueron más elevados en los cerdos alimentados con los tratamientos 0% y 5% (P < 0,001). Piensos con el 15 y 25% de alberjones empeoraron los resultados productivos, así como el rendimiento y peso de canal. Sucedió lo mismo con el peso de las piezas nobles (jamón, paleta y chuletero), significativamente superior en 0% y 5% frente a 15% y 25%, siendo los cerdos que consumieron este último pienso los peores. Por el contrario el rendimiento de jamón y chuletero fue más elevado en los cerdos de los tratamientos 25% y 15% que en los que consumieron los piensos con 5% y 0% (P < 0,001); en el rendimiento de paletas se invirtieron los resultados, siendo mayores en los animales de los tratamientos 0% y 5% (P < 0,001). Se obtuvieron ecuaciones de regresión polinomial, para estimar las cantidades de inclusión de alberjones y de GEC más favorables desde el punto de vista productivo, así como los contrastes ortogonales entre los distintos tratamientos. ABSTRACT The grain legumes have a nutritional profile of great interest to feed pigs, mainly due to high protein content. However, the presence of antinutritional factors (ANF), which differ in quality and quantity according to gender, hinder the absorption of the protein, the most valuable nutrient. The aim of this thesis was to study the effect of the main ANF of pea and narbon vetch (NV) on productive performance, of the carcass and main lean cuts, when replacing soybean, partially or totally, during the starter phase and the fattening period of heavy pigs. For this reason were carried four trials with barrows and the same genetic line: Duroc hybrid x (Landrace x Large white). In trial 1, was studied the influence of different levels of protease inhibitors (PI) in the diet over productivity of piglets during the starter phase (40-61 days of age). For this, were used three varieties of winter peas containing different amounts of PI, both trypsin (TI) and chymotrypsin (CI) [inhibited units/mg trypsin (TIU), inhibited units/mg chymotrypsin (CIU): 9.87 - 10.16, 5.75 - 8.62 and 12.55 - 15.75, for peas Cartouche, Iceberg and Luna, respectively] higher than in soybean meal 47 (SBM) and soybeans extruded (SBE) (TIU/mg - CIU/mg: 0.61 - 3.56 and 2.36 - 4.65 for SBM and SBE, respectively). The design was randomized with four dietary treatments differing in protein sources and the amount of PI, with a control diet of soybean and three with different varieties of winter peas: Cartouche, Iceberg and Luna, which partially replace soybean. Each treatment was replicated four times, being the pen with 6 piglets the experimental unit. Pigs that ate the feed with pea Cartouche had better growth (ADG) than the rest (P < 0.001), with the same average daily feed intake (ADFI) and feed conversion ratio (FCR). There were no significant differences between piglets fed with control diet and those fed Iceberg and Luna diets. In trial 2 the legume under study was the NV and your ANF the dipeptide _Glutamyl FAN-S-Ethenyl-Cysteine (GEC). The experimental period and the design were the same as in trial 1, with four diets with different percentage of NV: 0%, 5%, 15% and 25%, and from GEC (1.52% of the grain). The piglets that consumed the feed containing 5% had higher ADG and ADFI (P < 0.05), with the same FCR that pigs belonging to the 0% treatment. Production rates worsened progressively with increasing percentage of NV (15 and 25%). Were obtained regression equations with polynomial structure that were significant for NV percentage and amount of GEC present in the feed. The test 3 was carried out during the fattening period, completely replace soy from 84 days of age with three varieties of winter peas, observing the effect on the yield, carcass and main lean cuts. The design, randomized complete blocks, had four treatments with different levels of PI: Control-soy, Cartouche, Iceberg and Luna, with 12 replicates of 4 pigs per treatment. From 84 to 108 days of age the pigs fed with Control-soy and Iceberg feed, had the same ADFI and ADG, worsening in pigs fed with Luna and Cartouche (P < 0.05). The FCR was similar in diets Control-soy and Iceberg, occupying an intermediate position in Cartouche and worse in pigs fed with Luna (P < 0.001). From 109-127 days of age the ADG and FCR were equal, with higher ADFI in pigs fed with Control-soy and Iceberg, regarding pigs fed with Cartouche and Luna (P < 0.05). There was no difference in the finishing phase (128-167 days of age). In global period, the ADFI and ADG were higher in pigs that ate Control-soy and Iceberg, and worse in those who ate Cartouche and Luna. The FCR was the same in all treatments. No significant differences were observed in the data related to weight and carcass yield, main lean cuts (ham, shoulder and loin chop) and intramuscular fat loin content and major fatty acids proportion (C16:0, C18:0, C18:1n-9) of subcutaneous fat. In experiment 4, made during the fattening period (60-171 days of age), was assessed the effect of diets with different levels of NV, and consequently of GEC, in the performance and quality of carcass and main lean cuts. There was a completely randomized design with four dietary treatments differing in percentage of NV: 0%, 5%, 15% and 25%, with 12 replicates per treatment and four pigs each. Treatment with 5% improved the ADG at the end of the fattening phase (152 days of age) and, together with 0%, showed the most favorable body weight and FCR at the end of the trial (171 days of age). Similarly, the weight and performance of carcass were higher for pigs fed with diets 0% and 5% (P < 0.05). Diets with 15 and 25% worsened the productive and carcass results. The weight of the main lean cuts (ham, shoulder and loin chop) was significantly higher in 0% and 5% vs 15% and 25%.The diet 25% was the worst of all. By contrast the performance of ham and loin chop was higher in pigs fed with diets 25% and 15%, that those who ate diets with 5% and 0% (P < 0.001); the results of shoulder performance were reversed, being greater in pigs feed with diets 0% and 5% (P < 0.001). Polynomial regression equations were obtained to estimate the percentage of NV and GEC more favorable from the point of view of production, and orthogonal contrasts between treatments.

Cathepsins B and D are dispensable for major histocompatibility complex class II-mediated antigen presentation

Antigen presentation by major histocompatibility complex (MHC) class II molecules requires the participation of different proteases in the endocytic route to degrade endocytosed antigens as well as the MHC class II-associated invariant chain (Ii). Thus far, only the cysteine protease cathepsin (Cat) S appears essential for complete destruction of Ii. The enzymes involved in degradation of the antigens themselves remain to be identified. Degradation of antigens in vitro and experiments using protease inhibitors have suggested that Cat B and Cat D, two major aspartyl and cysteine proteases, respectively, are involved in antigen degradation. We have analyzed the antigen-presenting properties of cells derived from mice deficient in either Cat B or Cat D. Although the absence of these proteases provoked a modest shift in the efficiency of presentation of some antigenic determinants, the overall capacity of Cat B−/− or Cat D−/− antigen-presenting cells was unaffected. Degradation of Ii proceeded normally in Cat B−/− splenocytes, as it did in Cat D−/− cells. We conclude that neither Cat B nor Cat D are essential for MHC class II-mediated antigen presentation.

Human milk lactoferrin inactivates two putative colonization factors expressed by Haemophilus influenzae

Haemophilus influenzae is a major cause of otitis media and other respiratory tract disease in children. The pathogenesis of disease begins with colonization of the upper respiratory mucosa, a process that involves evasion of local immune mechanisms and adherence to epithelial cells. Several studies have demonstrated that human milk is protective against H. influenzae colonization and disease. In the present study, we examined the effect of human milk on the H. influenzae IgA1 protease and Hap adhesin, two autotransported proteins that are presumed to facilitate colonization. Our results demonstrated that human milk lactoferrin efficiently extracted the IgA1 protease preprotein from the bacterial outer membrane. In addition, lactoferrin specifically degraded the Hap adhesin and abolished Hap-mediated adherence. Extraction of IgA1 protease and degradation of Hap were localized to the N-lobe of the bilobed lactoferrin molecule and were inhibited by serine protease inhibitors, suggesting that the lactoferrin N-lobe may contain serine protease activity. Additional experiments revealed no effect of lactoferrin on the H. influenzae P2, P5, and P6 outer-membrane proteins, which are distinguished from IgA1 protease and Hap by the lack of an N-terminal passenger domain or an extracellular linker region. These results suggest that human milk lactoferrin may attenuate the pathogenic potential of H. influenzae by selectively inactivating IgA1 protease and Hap, thereby interfering with colonization. Future studies should examine the therapeutic potential of lactoferrin, perhaps as a supplement in infant formulas.

Testatin: A cystatin-related gene expressed during early testis development

To isolate genes involved in morphogenic aspects of testis development, and which may act in cell signaling pathways downstream of the testis-determining gene Sry, we have developed a modified mRNA differential display method named signal peptide differential display. It was used to target those genes that encode proteins having a signal peptide sequence. By using this method, we isolated a gene named testatin. This gene was found to be related to a group of genes that encodes cysteine protease inhibitors known as cystatins. Cystatins and their target proteases have been associated with tumor formation and metastasis, but also are involved in natural tissue remodeling events such as bone resorption and embryo implantation. We show that testatin expression is restricted to fetal gonads and adult testis. Furthermore, testatin is expressed during testis cord formation in pre-Sertoli cells, believed to be the site of Sry action, at a time immediately after the peak of Sry expression. This finding suggests that testatin might be activated by transcription factors that are known to orchestrate the early testis development pathway. This gene therefore represents one of the putative downstream targets likely to have an essential role in tissue reorganization during early testis development.

Tsetse thrombin inhibitor: Bloodmeal-induced expression of an anticoagulant in salivary glands and gut tissue of Glossina morsitans morsitans

The tsetse thrombin inhibitor, a potent and specific low molecular mass (3,530 Da) anticoagulant peptide, was purified previously from salivary gland extracts of Glossina morsitans morsitans (Diptera: Glossinidae). A 303-bp coding sequence corresponding to the inhibitor has now been isolated from a tsetse salivary gland cDNA library by using degenerate oligonucleotide probes. The full-length cDNA contains a 26-bp untranslated segment at its 5′ end, followed by a 63-bp sequence corresponding to a putative secretory signal peptide. A 96-bp segment codes for the mature tsetse thrombin inhibitor, whose predicted molecular weight matches that of the purified native protein. Based on its lack of homology to any previously described family of molecules, the tsetse thrombin inhibitor appears to represent a unique class of naturally occurring protease inhibitors. Recombinant tsetse thrombin inhibitor expressed in Escherichia coli and the chemically synthesized peptide are both substantially less active than the purified native protein, suggesting that posttranslational modification(s) may be necessary for optimal inhibitory activity. The tsetse thrombin inhibitor gene, which is present as a single copy in the tsetse genome, is expressed at high levels in salivary glands and midguts of adult tsetse flies, suggesting a possible role for the anticoagulant in both feeding and processing of the bloodmeal.

KH domain: one motif, two folds

The K homology (KH) module is a widespread RNA-binding motif that has been detected by sequence similarity searches in such proteins as heterogeneous nuclear ribonucleoprotein K (hnRNP K) and ribosomal protein S3. Analysis of spatial structures of KH domains in hnRNP K and S3 reveals that they are topologically dissimilar and thus belong to different protein folds. Thus KH motif proteins provide a rare example of protein domains that share significant sequence similarity in the motif regions but possess globally distinct structures. The two distinct topologies might have arisen from an ancestral KH motif protein by N- and C-terminal extensions, or one of the existing topologies may have evolved from the other by extension, displacement and deletion. C-terminal extension (deletion) requires β-sheet rearrangement through the insertion (removal) of a β-strand in a manner similar to that observed in serine protease inhibitors serpins. Current analysis offers a new look on how proteins can change fold in the course of evolution.

Diazepam binding inhibitor is a potent cholecystokinin-releasing peptide in the intestine.

Pancreatic proteases in the duodenum inhibit the release of cholecystokinin (CCK) and thus exert feedback control of pancreatic exocrine secretion. Exclusion of proteases from the duodenum either by the diversion of bile-pancreatic juice or by the addition of protease inhibitors stimulates exocrine pancreatic secretion. The mechanism by which pancreatic proteases in the duodenum regulate CCK secretion is unknown. In this study, we isolated a trypsin-sensitive peptide that is secreted intraduodenally, releases CCK, and stimulates pancreatic enzyme secretion in rats. This peptide was found to be identical to the porcine diazepam binding inhibitor by peptide sequencing and mass spectrometry analysis. Intraduodenal infusion of 200 ng of synthetic porcine diazepam binding inhibitor1-86 in rats significantly stimulated pancreatic amylase output. Infusion of the CCK antagonist MK-329 completely blocked the diazepam binding inhibitor-stimulated amylase secretion. Similarly, diazepam binding inhibitor33-52 [corrected] also stimulated CCK release and pancreatic secretion in a dose-dependent manner although it was 100 times less potent than the whole peptide. Using a perfusion system containing isolated mucosal cells from the proximal intestine of rats, porcine diazepam binding inhibitor 10(-12) M) dose dependently stimulated CCK secretion. In separate studies, it was demonstrated that luminal secretion of the diazepam binding inhibitor immunoreactivity (7.5 X 10(11) M) could be detected in rat's intestinal washing following the diversion of bile-pancreatic juice. The secretion of this peptide was inhibited by atropine. In conclusion, we have isolated and characterized a CCK-releasing peptide that has a sequence identical to the porcine diazepam binding inhibitor from pig intestinal mucosa and that stimulates CCK release when administered intraduodenally in rat. This peptide may mediate feedback regulation of pancreatic enzyme secretion.

Viral dynamics in vivo: limitations on estimates of intracellular delay and virus decay.

Anti-viral drug treatment of human immunodeficiency virus type I (HIV-1) and hepatitis B virus (HBV) infections causes rapid reduction in plasma virus load. Viral decline occurs in several phases and provides information on important kinetic constants of virus replication in vivo and pharmacodynamical properties. We develop a mathematical model that takes into account the intracellular phase of the viral life-cycle, defined as the time between infection of a cell and production of new virus particles. We derive analytic solutions for the dynamics following treatment with reverse transcriptase inhibitors, protease inhibitors, or a combination of both. For HIV-1, our results show that the phase of rapid decay in plasma virus (days 2-7) allows precise estimates for the turnover rate of productively infected cells. The initial quasi-stationary phase (days 0-1) and the transition phase (days 1-2) are explained by the combined effects of pharmacological and intracellular delays, the clearance of free virus particles, and the decay of infected cells. Reliable estimates of the first three quantities are not possible from data on virus load only; such estimates require additional measurements. In contrast with HIV-1, for HBV our model predicts that frequent early sampling of plasma virus will lead to reliable estimates of the free virus half-life and the pharmacological properties of the administered drug. On the other hand, for HBV the half-life of infected cells cannot be estimated from plasma virus decay.