Functional Response of a Near-Surface Soil Microbial Community to a Simulated Underground CO2 Storage Leak

Understanding the impacts of leaks from geologic carbon sequestration, also known as carbon capture and storage, is key to developing effective strategies for carbon dioxide (CO₂) emissions management and mitigation of potential negative effects. Here, we provide the first report on the potential effects of leaks from carbon capture and storage sites on microbial functional groups in surface and near-surface soils. Using a simulated subsurface CO₂ storage leak scenario, we demonstrate how CO₂ flow upward through the soil column altered both the abundance (DNA) and activity (mRNA) of microbial functional groups mediating carbon and nitrogen transformations. These microbial responses were found to be seasonally dependent and correlated to shifts in atmospheric conditions. While both DNA and mRNA levels were affected by elevated CO₂, they did not react equally, suggesting two separate mechanisms for soil microbial community response to high CO₂ levels. The results did not always agree with previous studies on elevated atmospheric (rather than subsurface) CO₂ using FACE (Free-Air CO₂ Enrichment) systems, suggesting that microbial community response to CO₂ seepage from the subsurface might differ from its response to atmospheric CO₂ increases.     

Evaluation of a Model for Glycemic Prediction in Critically Ill Surgical Patients

We evaluated a neural network model for prediction of glucose in critically ill trauma and post-operative cardiothoracic surgical patients. A prospective, feasibility trial evaluating a continuous glucose-monitoring device was performed. After institutional review board approval, clinical data from all consenting surgical intensive care unit patients were converted to an electronic format using novel software. This data was utilized to develop and train a neural network model for real-time prediction of serum glucose concentration implementing a prediction horizon of 75 minutes. Glycemic data from 19 patients were used to “train” the neural network model. Subsequent real-time simulated testing was performed in 5 patients to whom the neural network model was naive. Performance of the model was evaluated by calculating the mean absolute difference percent (MAD%), Clarke Error Grid Analysis, and calculation of the percent of hypoglycemic (≤70 mg/dL), normoglycemic (>70 and <150 mg/dL), and hyperglycemic (≥150 mg/dL) values accurately predicted by the model; 9,405 data points were analyzed. The models successfully predicted trends in glucose in the 5 test patients. Clark Error Grid Analysis indicated that 100.0% of predictions were clinically acceptable with 87.3% and 12.7% of predicted values falling within regions A and B of the error grid respectively. Overall model error (MAD%) was 9.0% with respect to actual continuous glucose modeling data. Our model successfully predicted 96.7% and 53.6% of the normo- and hyperglycemic values respectively. No hypoglycemic events occurred in these patients. Use of neural network models for real-time prediction of glucose in the surgical intensive care unit setting offers healthcare providers potentially useful information which could facilitate optimization of glycemic control, patient safety, and improved care. Similar models can be implemented across a wider scale of biomedical variables to offer real-time optimization, training, and adaptation that increase predictive accuracy and performance of therapies.     

Transesterification of soybean oil catalyzed by sulfated zirconia

Two sulfated zirconias were synthesized and characterized by X-ray diffraction and infrared spectroscopy. They were used as catalysts in the alcoholysis of soybean oil and in the esterification of oleic acid. Using sulfated zirconia prepared by the solvent-free method (S-ZrO(2)) as catalyst, the alcoholysis conversions of soybean oil under optimized conditions (120 degrees C, 1h and 5wt% of catalyst) were 98.6% (methanolysis) and 92% (ethanolysis), respectively. The esterification of oleic acid with methanol was complete after 2h. Zirconia sulfated by standard methods (SZ) had low activity in the methanolysis of soybean oil (conversion of 8.5%) and conventional zirconia (NS) was inactive for methanolysis under the conditions optimized for S-ZrO(2).     

Expression of Inducible Nitric Oxide Synthase mRNA and Nitric Oxide Production During the Development of Liver Abscess in Hamster Inoculated with Entamoeba histolytica

The present study analyzed iNOS and eNOS mRNA expression and NO production during development of hepatic abscess caused by Entamoeba histolytica trophozoites. One 374-bp sequence, which displayed 88% identity to mammalian iNOS protein, was isolated from LPS-stimulated peritoneal hamster macrophages. A separate 365-bp cDNA sequence showed 99% identity with eNOS protein. iNOS mRNA was detected in hamsters during formation of amoebic liver abscesses, but not in control hamsters. eNOS mRNA expression was not modified. Serum nitrite concentration in hamsters infected with E. histolytica was 33 ± 6 μM, in control hamsters was 20 ± 3 μM. The study shows that iNOS mRNA expression and NO production are induced by E. histolytica trophozoites during amoebic liver abscess formation. However, in spite of iNOS mRNA expression and NO production, E. histolytica trophozoites induced liver abscess formation in hamster.     

Two methionine aminopeptidases from Acinetobacter baumannii are functional enzymes

Drug resistance in Gram-negative bacteria, such as Acinetobacter baumannii, is emerging as a significant healthcare problem. New antibiotics with a novel mechanism of action are urgently needed to overcome the drug resistance. Methionine aminopeptidase (MetAP) carries out an essential cotranslational methionine excision in many bacteria and is a potential target to develop such novel antibiotics. Two putative MetAP genes were identified in A. baumannii genome, but whether they actually function as MetAP enzymes was not known. Therefore, we established an efficient E. coli expression system for their production as soluble and metal-free proteins for biochemical characterization. We demonstrated that both could carry out the metal-dependent catalysis and could be activated by divalent metal ions with the order Fe(II) ≈ Ni(II) > Co(II) > Mn(II) for both. By using a set of metalloform-selective inhibitors discovered on other MetAP enzymes, potency and metalloform selectivity on the A. baumannii MetAP proteins were observed. The similarity of their catalysis and inhibition to other MetAP enzymes confirmed that both may function as competent MetAP enzymes in A. baumannii and either or both may serve as the potential drug target.     

Red light imaging for programmed cell death visualization and quantification in plant–pathogen interactions

Studies on plant–pathogen interactions often involve monitoring disease symptoms or responses of the host plant to pathogen-derived immunogenic patterns, either visually or by staining the plant tissue. Both these methods have limitations with respect to resolution, reproducibility, and the ability to quantify the results. In this study we show that red light detection by the red fluorescent protein (RFP) channel of a multipurpose fluorescence imaging system that is probably available in many laboratories can be used to visualize plant tissue undergoing cell death. Red light emission is the result of chlorophyll fluorescence on thylakoid membrane disassembly during the development of a programmed cell death process. The activation of programmed cell death can occur during either a hypersensitive response to a biotrophic pathogen or an apoptotic cell death triggered by a necrotrophic pathogen. Quantifying the intensity of the red light signal enables the magnitude of programmed cell death to be evaluated and provides a readout of the plant immune response in a faster, safer, and nondestructive manner when compared to previously developed chemical staining methodologies. This application can be implemented to screen for differences in symptom severity in plant–pathogen interactions, and to visualize and quantify in a more sensitive and objective manner the intensity of the plant response on perception of a given immunological pattern. We illustrate the utility and versatility of the method using diverse immunogenic patterns and pathogens.     

In vitro meristem culture of M.4 apple (Malus pumila Mill.). I. Optimal nutrient medium

Shoot tips of M.4 apple clone were excised from actively growing one year-old stoolbed branches, and cultured in order to determine the optimal nutrient medium for each stage of their in vitro culture. The basal medium (BM) used was that described by Murashige and Skoog, supplemented with vitamins, glycine, myoinositol, sucrose, with or without agar, and different combinations of plant growth regulators. Best media for each stage were: BM+0.5 mg 1^-1 indole-3yl-butyric acid (IBA)+0.5 mg 1^-1 6-benzylaminopurine (BAP) for explant establishment (Stage I); BM+0.1 mg 1^-1 IBA+1.0 mg 1^-1 BAP for multiplication and internode enlargement (Stage II); and 2.0 mg 1^-1 IBA+0.1 mg 1^-1 BAP without agar for the rooting of the plantlets (Stage III).     

Protein electrophoresis in Andean condors (Vultur gryphus): Reference values and differences between wild and rehabilitating individuals

The study of wildlife health greatly contributes to understanding population dynamics and detecting conservation threats. The determination of the different fractions of plasma proteins (proteinogram) is an important laboratory tool to study wildlife health. The aim of this study was to characterize protein electrophoresis in wild Andean condors (Vultur gryphus) from north‐western Patagonia and to evaluate differences according to age and sex classes. Once reference values of wild, apparently healthy individuals, were established, we compared these values to those of individuals received at the Buenos Aires Zoo in Argentina for rehabilitation due to various health problems. Reference proteinograms from wild Andean condors differed only in the α 1 and β 2‐fractions between sex categories. Males showed higher concentrations of these protein fractions than females. We found clear differences between wild birds and rehabilitating individuals. Total proteins, globulins, α 1‐globulins, total α‐globulins, β 2‐globulins, total β‐globulins, and γ‐globulins were significantly higher in rehabilitating than in wild individuals, whereas albumin, α 2, and β1‐globulins were similar between these groups. The albumin/globulin ratio, as a general indicator of health, was significantly lower in rehabilitating than in wild individuals. The results indicate the effects on different protein fractions of pathologic processes occurring in individuals undergoing rehabilitation. Our results provide useful insights, contributing to improving diagnoses and prognoses in this species. This information may also be useful to assess the health status of Andean condors in studies of wild populations and for comparisons with other bird species.     

Design of splints based on the NiTi alloy for the correction of joint deformities in the fingers

Background  

The proximal interphalange joint (PIP) is fundamental for the functional nature of the hand. The contracture in flexion of the PIP, secondary to traumatisms or illnesses leads to an important functional loss. The use of correcting splints is the common procedure for treating this problem. Its functioning is based on the application of a small load and a prolonged stress which can be dynamic, static progressive or static serial.