Chitosan-dextran sulphate nanocapsule drug delivery system as an effective therapeutic against intraphagosomal pathogen Salmonella

Objectives: The ability to target conventional drugs efficiently inside cells to kill intraphagosomal bacteria has been a major hurdle in treatment of infective diseases. We aimed to develop an efficient drug delivery system for combating infection caused by Salmonella, a well-known intracellular and intraphagosomal pathogen. Chitosan dextran sulphate (CD) nanocapsules were assessed for their efficiency in delivering drugs against Salmonella. Methods: The CD nanocapsules were prepared using the layer-by-layer method and loaded with ciprofloxacin or ceftriaxone. Antibiotic-loaded nanocapsules were analysed in vitro for their ability to enter epithelial and macrophage cells to kill Salmonella. In vivo pharmacokinetics and organ distribution studies were performed to check the efficiency of the delivery system. The in vivo antibacterial activity of free antibiotic and antibiotic loaded into nanocapsules was tested in a murine salmonellosis model. Results: In vitro and in vivo experiments showed that this delivery system can be used effectively to clear Salmonella infection, CD nanocapsules were successfully employed for efficient targeting and killing of the intracellular pathogen at a dosage significantly lower than that of the free antibiotic. The increased retention time of ciprofloxacin in the blood and organs when it was delivered by CD nanocapsules compared with the conventional routes of administration may be the reason underlying the requirement for a reduced dosage and frequency of antibiotic administration. Conclusions: CD nanocapsules can be used as an efficient drug delivery system to treat intraphagosomal pathogens, especially Salmonella infection, This delivery system might be used effectively for other vacuolar pathogens including Mycobacteria, Brucella and Legionella.

Flow Cytometry Analysis of Cytotoxicity In Vitro and Long-Term Toxicity of HA-40wt% BaTiO3 Nanoparticles In Vivo

The development of new implantable biomaterials requires bone-mimicking physical properties together with desired biocompatible property. In continuation to our earlier published research to establish compositional dependent multifunctional bone-like properties and cytocompatibility response of hydroxyapatite (HA)-BaTiO3 composites, the toxicological property evaluation, both invitro and invivo, were conducted on HA-40wt% BaTiO3 and reported in this work. In particular, this work reports invitro cytotoxicity of mouse myoblast cells as well as invivo long-term tissue and nanoparticles interaction of intra-articularly injected HA-40wt% BaTiO3 and BaTiO3 up to the concentration of 25mg/mL in physiological saline over 12weeks in mouse model. The careful analysis of flow cytometry results could not reveal any statistically significant difference in terms of early/late apoptotic cells or necrotic cells over 8d in culture. Extensive histological analysis could not record any signature of cellular level toxicity or pronounced inflammatory response in vital organs as well as at knee joints of Balb/c mice after 12weeks. Taken together, this study establishes nontoxic nature of HA-40wt% BaTiO3 and therefore, HA-40wt% BaTiO3 can be used safely for various biomedical applications.

Molecular profiling of sepsis in mice using Fourier Transform Infrared Microspectroscopy

Sepsis is a life threatening condition resulting from a high burden of infection. It is a major health care problem and associated with inflammation, organ dysfunction and significant mortality. However, proper understanding and delineating the changes that occur during this complex condition remains a challenge. A comparative study involving intra-peritoneal injection of BALB/c mice with Salmonella Typhimurium (infection), lipopolysaccharide (endotoxic shock) or thioglycollate (sterile peritonitis) was performed. The changes in organs and sera were profiled using immunological assays and Fourier Transform Infrared (FTIR) micro-spectroscopy. There is a rapid rise in inflammatory cytokines accompanied with lowering of temperature, respiratory rate and glucose amounts in mice injected with S. Typhimurium or lipopolysaccharide. FTIR identifies distinct changes in liver and sera: decrease in glycogen and protein/lipid ratio and increase in DNA and cholesteryl esters. These changes were distinct from the pattern observed in mice treated with thioglycollate and the differences in the data obtained between the three models are discussed. The combination of FTIR spectroscopy and other biomarkers will be valuable in monitoring molecular changes during sepsis. GRAPHICS] Intra-peritoneal infection with high dose of Salmonella Typhimurium leads to rapid increase in inflammatory cytokines, e.g. Tnf alpha (A). FTIR analysis of liver (B) and sera (C) identifies several metabolic changes: glycogen, protein/lipid, cholesteryl esters and DNA.

Empirical Analysis of Sampling Based Estimators for Evaluating RBMs

The Restricted Boltzmann Machines (RBM) can be used either as classifiers or as generative models. The quality of the generative RBM is measured through the average log-likelihood on test data. Due to the high computational complexity of evaluating the partition function, exact calculation of test log-likelihood is very difficult. In recent years some estimation methods are suggested for approximate computation of test log-likelihood. In this paper we present an empirical comparison of the main estimation methods, namely, the AIS algorithm for estimating the partition function, the CSL method for directly estimating the log-likelihood, and the RAISE algorithm that combines these two ideas.

Modelling within-host spatiotemporal dynamics of invasive bacterial disease

Mechanistic determinants of bacterial growth, death, and spread within mammalian hosts cannot be fully resolved studying a single bacterial population. They are also currently poorly understood. Here, we report on the application of sophisticated experimental approaches to map spatiotemporal population dynamics of bacteria during an infection. We analyzed heterogeneous traits of simultaneous infections with tagged Salmonella enterica populations (wild-type isogenic tagged strains [WITS]) in wild-type and gene-targeted mice. WITS are phenotypically identical but can be distinguished and enumerated by quantitative PCR, making it possible, using probabilistic models, to estimate bacterial death rate based on the disappearance of strains through time. This multidisciplinary approach allowed us to establish the timing, relative occurrence, and immune control of key infection parameters in a true host-pathogen combination. Our analyses support a model in which shortly after infection, concomitant death and rapid bacterial replication lead to the establishment of independent bacterial subpopulations in different organs, a process controlled by host antimicrobial mechanisms. Later, decreased microbial mortality leads to an exponential increase in the number of bacteria that spread locally, with subsequent mixing of bacteria between organs via bacteraemia and further stochastic selection. This approach provides us with an unprecedented outlook on the pathogenesis of S. enterica infections, illustrating the complex spatial and stochastic effects that drive an infectious disease. The application of the novel method that we present in appropriate and diverse host-pathogen combinations, together with modelling of the data that result, will facilitate a comprehensive view of the spatial and stochastic nature of within-host dynamics. © 2008 Grant et al.

Bacterial growth rate and host factors as determinants of intracellular bacterial distributions in systemic Salmonella enterica infections.

Bacteria of the species Salmonella enterica cause a range of life-threatening diseases in humans and animals worldwide. The within-host quantitative, spatial, and temporal dynamics of S. enterica interactions are key to understanding how immunity acts on these infections and how bacteria evade immune surveillance. In this study, we test hypotheses generated from mathematical models of in vivo dynamics of Salmonella infections with experimental observation of bacteria at the single-cell level in infected mouse organs to improve our understanding of the dynamic interactions between host and bacterial mechanisms that determine net growth rates of S. enterica within the host. We show that both bacterial and host factors determine the numerical distributions of bacteria within host cells and thus the level of dispersiveness of the infection.

Bayesian Online Changepoint Detection

Changepoints are abrupt variations in the generative parameters of a data sequence. Online detection of changepoints is useful in modelling and prediction of time series in application areas such as finance, biometrics, and robotics. While frequentist methods have yielded online filtering and prediction techniques, most Bayesian papers have focused on the retrospective segmentation problem. Here we examine the case where the model parameters before and after the changepoint are independent and we derive an online algorithm for exact inference of the most recent changepoint. We compute the probability distribution of the length of the current ``run,'' or time since the last changepoint, using a simple message-passing algorithm. Our implementation is highly modular so that the algorithm may be applied to a variety of types of data. We illustrate this modularity by demonstrating the algorithm on three different real-world data sets.

Nonparametric Bayesian Density Modeling with Gaussian Processes

We present the Gaussian process density sampler (GPDS), an exchangeable generative model for use in nonparametric Bayesian density estimation. Samples drawn from the GPDS are consistent with exact, independent samples from a distribution defined by a density that is a transformation of a function drawn from a Gaussian process prior. Our formulation allows us to infer an unknown density from data using Markov chain Monte Carlo, which gives samples from the posterior distribution over density functions and from the predictive distribution on data space. We describe two such MCMC methods. Both methods also allow inference of the hyperparameters of the Gaussian process.

Propuesta educativa para la promoción de una cultura de donación de órganos

La escasez de órganos para donación y trasplante es un problema acuciante que involucra a toda la sociedad. Existen diversos prejuicios, racionales y emocionales, por los que muchas personas son reacias a donar sus órganos, sin saber o sin comprender que este gesto podría salvar vidas. El autor ahonda en esta problemática médico-social y plantea una propuesta para revertirla, comenzando con la educación desde el nivel primario y abarcando diferentes niveles educativos y ámbitos de la sociedad. Pone especial énfasis en la formación de los jóvenes, y su entorno social y familiar, quienes juegan un papel preponderante en el desarrollo de futuros programas educativos. Esta propuesta es integral y no implica controversias legales ni éticomorales, por lo que se presenta como una alternativa para derribar las barreras, conscientes e inconscientes, y la desinformación generadoras de una sociedad no donante que se niega una posibilidad de vida a sí misma.

Sistema nacional de procuración de órganos y tejidos para trasplante

El sistema nacional de procuración de órganos, tejidos y células para trasplante en la Argentina es impulsado, normatizado, coordinado y fiscalizado por el Incucai (Instituto Nacional Central Único Coordinador de Ablación e Implante). Hoy, el sistema de salud cuenta con más de 4000 profesionales capacitados, 300 centros de trasplante, 50 bancos de tejidos y 30 laboratorios de histocompatibilidad habilitados por el Incucai en todo el país. La conciencia sobre la importancia de la donación ha crecido y actualmente cerca de 2.300.000 personas han manifestado la decisión de donar sus órganos y tejidos y otras 40.000 se han inscripto como donantes de células de la médula ósea. En el presente trabajo se analizarán los siguientes puntos: situación actual, logros y avances; principios de definen la distribución de órganos; retos de la donación y el trasplante en la Argentina.

Tractable nonparametric bayesian inference in poisson processes with Gaussian process intensities

The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian process is a useful way to place a prior distribution on this intensity. The combination of a Poisson process and GP is known as a Gaussian Cox process, or doubly-stochastic Poisson process. Likelihood-based inference in these models requires an intractable integral over an infinite-dimensional random function. In this paper we present the first approach to Gaussian Cox processes in which it is possible to perform inference without introducing approximations or finitedimensional proxy distributions. We call our method the Sigmoidal Gaussian Cox Process, which uses a generative model for Poisson data to enable tractable inference via Markov chain Monte Carlo. We compare our methods to competing methods on synthetic data and apply it to several real-world data sets. Copyright 2009.

Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities

The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian process is a useful way to place a prior distribution on this intensity. The combination of a Poisson process and GP is known as a Gaussian Cox process, or doubly-stochastic Poisson process. Likelihood-based inference in these models requires an intractable integral over an infinite-dimensional random function. In this paper we present the first approach to Gaussian Cox processes in which it is possible to perform inference without introducing approximations or finite-dimensional proxy distributions. We call our method the Sigmoidal Gaussian Cox Process, which uses a generative model for Poisson data to enable tractable inference via Markov chain Monte Carlo. We compare our methods to competing methods on synthetic data and apply it to several real-world data sets.

El proceso de donación trasplante : una mirada interdisciplinaria

El trasplante de órganos es hoy un tratamiento habitual pero que tiene su limitación más importante en el total de órganos donados, que si bien va aumentando año tras año, no alcanza para satisfacer las demandas cada vez más crecientes, tornándose en un problema sanitario mundial. No es redundante precisar que el proceso de donación trasplante es sumamente complejo y que requiere la actuación de un número importante de sujetos, de las instituciones asistenciales y de la sociedad en general. En este artículo se intenta realizar un resumen esquemático de un proceso de donación a corazón batiente, que inicia con la llamada de detección; pasando por el diagnóstico de muerte bajo criterios neurológicos; selección, evaluación y mantenimiento del potencial donante; distribución de órganos y tejidos; y finalmente el punto más complejo que es el abordaje familiar en un contexto de altísima crisis.

Los límites latentes de la concertación : retraducciones del clivaje religioso

Resumen: Este artículo analiza la formación del sistema de partidos políticos chileno desde la teoría de clivajes o fisuras sociales. Esta teoría, ampliamente desarrollada en las ciencias sociales europeas, adoptó especial relevancia en el caso chileno y logró consenso sobre ciertos clivajes generativos del sistema de partidos –religioso y social–. Sin embargo, durante la década pasada, surgió la discusión sobre la existencia de otro clivaje: el autoritario, y si fue o no generativo de la actual configuración partidaria. En este contexto teórico, el presente trabajo se focaliza en dos objetivos: primero, presentar la configuración actual del sistema de partidos chileno y sus coaliciones, en base a los clivajes generativos que le dan forma, argumentando, especialmente, la retraducción actual del clivaje religioso –no hegemónico–, en el seno de la actual coalición política de gobierno, la Concertación; y segundo, en base a un enfoque cualitativo, pretende caracterizar empíricamente la retraducción de esta oposición clerical/anticlerical.

Extracción de órganos de cadáveres con fines de trasplante. Voluntariedad y consentimiento presunto

El tema del llamado “consentimiento presunto” a los fines de habilitar la extracción de órganos cadavéricos ha suscitado debate e interés en ámbitos bioéticos y biojurídicos. Cuestiones como la del valor y significado del cuerpo y el cadáver, la relación entre el individuo y la comunidad, el papel de la voluntad y la libertad en las decisiones relacionadas con el propio cuerpo, tienen aquí especial relevancia. Varias leyes han tratado estos temas y distintos países se rigen por diferentes sistemas. La gran pregunta que recorrerá este trabajo se remite al papel y relevancia que se considera debe darse a la voluntad del difunto a la hora de disponer de sus órganos para trasplante.