A922 Sequential measurement of 1 hour creatinine clearance (1-CRCL) in critically ill patients at risk of acute kidney injury (AKI)

Meeting abstrac

Ecología del crecimiento de una lagartija del género Xenosaurus Peters 1861 (Squamata: Xenosauridae) en la Reserva de la Biósfera, Sierra Gorda, Querétaro, México

Analizamos el crecimiento corporal de una nueva especie de lagartija endémica del género Xenosaurus Peters, ubicada en la Reserva de la Biósfera, Sierra Gorda - Querétaro, México. Se estimaron las tasas de crecimiento corporal y se analizaron a partir de los modelos de crecimiento de Von Bertalanffy, logístico por longitud y logístico por peso. Para describir el patrón de crecimiento de estas lagartijas, utilizamos el modelo logístico por longitud debido a que fue el modelo que tuvo el mejor ajuste a las tasas observadas de crecimiento corporal. No encontramos diferencias signifi cativas entre machos y hembras en el parámetro característico de crecimiento ni en la talla asintótica proyectada. Por lo tanto, se construyó una sola curva de crecimiento para ambos sexos. Los machos alcanzan la madurez sexual a los 24 meses, mientras que las hembras lo hacen hasta los 37 meses. Las tasas de crecimiento independientes de la talla no fueron estadísticamente diferentes entre años (2001, 2002 y 2003), ni entre estaciones (estación húmeda y seca). Nuestros resultados sugieren que la variación en el crecimiento corporal de esta especie, no es causada exclusivamente por las variaciones ambientales, sino más bien por una compleja combinación de factores ambientales y bases genéticas

Growth and demography of one population of the lizard Sceloporus mucronatus mucronatus

We report on growth and demography of Sceloporus mucronatus mucronatus, a lizard subspecies endemic to central Mexico. We characterize the life history of this subspecies, provide quantitative information relevant to conservation, and add to the growing literature on the diversity of life histories in the genus Sceloporus. We calculated body growth rates and fitted them to the Von Bertalanffy, the logistic-by-length, and the logistic-by-weight growth models. The Von Bertalanffy model provided the best fit, and we used it to analyze the growth pattern. Growth rates were similar during the 1st year of life in both sexes, but after that point males grew faster and reached maturity earlier (20 months) than females (31 months). We used a population projection matrix to model population dynamics during 2003–2004 and found a positive population growth rate (?= 1.769). However, based on the projected stable size-class vector (w), this population does not appear to have reached stability, and it might be currently experiencing considerable interannual fluctuations. Elasticity values showed that the transition from the juvenile stage to the 1st adult stage was the vital rate that contributes the most to population growth rate, followed by fecundity and stasis of the 1st reproductive category. While total elasticities for demographic processes were similar, elasticities per size class showed the relatively high importance of small adults in comparison to juveniles and large adults. The restriction of this endemic subspecies to central Mexico, where human activities and consequent habitat destruction are increasing, demands further quantitative evaluation and monitoring of populations, even though our results indicate a potential for population growth

A Strategy to Calculate the Patterns of Nutrient Consumption by Microorganisms Applying a Two-Level Optimisation Principle to Reconstructed Metabolic Networks

Bacterial responses to environmental changes rely on a complex network of biochemical reactions. The properties of the metabolic network determining these responses can be divided into two groups: the stoichiometric properties, given by the stoichiometry matrix, and the kinetic/thermodynamic properties, given by the rate equations of the reaction steps. The stoichiometry matrix represents the maximal metabolic capabilities of the organism, and the regulatory mechanisms based on the rate laws could be considered as being responsible for the administration of these capabilities. Post-genomic reconstruction of metabolic networks provides us with the stoichiometry matrix of particular strains of microorganisms, but the kinetic aspects of in vivo rate laws are still largely unknown. Therefore, the validity of predictions of cellular responses requiring detailed knowledge of the rate equations is difficult to assert. In this paper, we show that by applying optimisation criteria to the core stoichiometric network of the metabolism of Escherichia coli, and including information about reversibility/irreversibility only of the reaction steps, it is possible to calculate bacterial responses to growth media with different amounts of glucose and galactose. The target was the minimisation of the number of active reactions (subject to attaining a growth rate higher than a lower limit) and subsequent maximisation of the growth rate (subject to the number of active reactions being equal to the minimum previously calculated). Using this two-level target, we were able to obtain by calculation four fundamental behaviours found experimentally: inhibition of respiration at high glucose concentrations in aerobic conditions, turning on of respiration when glucose decreases, induction of galactose utilisation when the system is depleted of glucose and simultaneous use of glucose and galactose as carbon sources when both sugars are present in low concentrations. Preliminary results of the coarse pattern of sugar utilisation were also obtained with a genome-scale E. coli reconstructed network, yielding similar qualitative results