Determining parameter distribution in within-host severe P. falciparum malaria.

Numerous studies have been carried out on within-host Plasmodium falciparum malaria with varying results. Some studies have suggested over estimation of parasite growth within an infected host while others stated that evolution of parasitaemia seems to be quelled by parasite load. Various mathematical models have been designed to understand the dynamics of evolution of within-host malaria. The basic ingredient in most of the models is that the availability of uninfected red blood cells (RBCs) in which the parasite develops is a limiting factor in the propagation of the parasite population. We hypothesize that in severe malaria, due to parasite quest for survival and rapid multiplication, the vicious malaria parasite is sophisticated and can be absorbed in an already infected RBC and speeds up rapture rate. The study reviews the classical models of blood stage malaria and proposes a new model which incorporates double infection. Analysis of the model and parameter identifiability using Markov chain Monte Carlo (MCMC) are presented. MCMC uses distribution of parameters to study the model behavior instead of single points. Results indicate that most infected RBCs rupture quickly due to the disease instead. This may explain anemia in malaria patients and lack of uniformity of oscillations in within-host malaria. Therefore, more needs to be done as far as within-host malaria is concerned, to provide step by step evolution of malaria within a host.

Particle transport method for simulation of multicomponent chromatography problems.

A novel numerical technique, called the particle transport method (PTM), is applied in simulation of multicomponent chromatography problems with non-linear isotherms. The method is based on the operator-splitting approach, and combines the Lagrangian method of characteristics and the method of lines. Instead of a moving mesh, a set of numerical points (called particles) which can be interpolated to any fixed grid with a fast monotone projection procedure is used. The technique includes a special spatial adaptivity to simulate the propagation of steep fronts (shock waves) that are often encountered in non-linear chromatography. The application of PTM for solving ideal and nonideal models of chromatography is demonstrated with two-component systems following the competitive Langmuir and Fowler isotherms. The accuracy and calculation time of PTM for various cases are compared with those of classical methods such as OCFEM, MOL and the Rouchon algorithm. The numerical experiments show that the proposed approach exhibits good mass conservation while being a computationally cheap scheme.

Epstein-Barr viral load and disease prediction in a large cohort of allogeneic stem cell transplant recipients.

BACKGROUND: We wanted to determine the clinical significance and predictability of Epstein-Barr virus (EBV) infections among a large cohort of recipients of allogeneic, unselected stem cell transplants. METHODS: During 1988-1999, a total of 5479 consecutive serum samples obtained during 406 transplantations performed in Helsinki, Finland, were retrospectively analyzed by quantitative polymerase chain reaction for the presence of EBV DNA. RESULTS: Overall, EBV DNA was noted in at least 1 serum sample for 57 patients (14.0%), of whom 22 (5.4%) were found to have progressively increasing and ultimately high (>50,000 copies/mL) EBV DNA levels (median level, 179,000 copies/mL). In addition, 16 patients (4.0%) had low EBV DNA levels (median level, 3260 copies/mL) in isolated sera before death. Among the transplant recipients who survived, transient EBV DNAemia (median level, 3110 copies/mL), which apparently corresponded to asymptomatic EBV infection, was noted in 19 patients (4.7%). CONCLUSIONS: Low-level EBV DNA positivity in serum occurs relatively frequently after stem cell transplantation and may subside without specific treatment. However, high EBV DNA levels (i.e., >50,000 copies/mL) are strong predictors for the development of posttransplantation lymphoproliferative disease, are not spontaneously reversible, and should be treated immediately. If the EBV DNA level is >or=50,000 copies/mL, the patient can be classified as having life-threatening EBV infection.

Improved detection of Listeria monocytogenes in soft mould-ripened cheese.

In comparison with standard methods, enrichment in half-Fraser broth for 24 h at 30 degrees C, followed by plating out onto Listeria monocytogenes blood agar (LMBA) and PALCAM medium combined with an additional streak proved to be the most rapid and specific method for the detection of indigenous L. monocytogenes populations from soft mould-ripened cheese. This procedure, with a high sensitivity (93%) and a low detection limit (1-10 cfu 25 g-1), provided negative and presumptive positive results within 2-3 d. Differences between LMBA, PALCAM and Oxford medium turned out to be highly significant (at 99% significance level); plating on LMBA after standard enrichment protocols giving the best overall results. An improvement in detection was also obtained by modifying the confirmation procedure. A loopful of culture (an additional streak) from PALCAM or Oxford medium was streaked on non-selective medium in addition to streaking only separate colonies as specified in the standards.

Effect of inoculation of a TOL plasmid containing mycorrhizosphere bacterium on development of Scots pine seedlings, their mycorrhizosphere and the microbial flora in m-toluate-amended soil.

The purpose of this study was to evaluate the influence of introduced bacteria containing a contaminant degrading plasmid on the growth and survival of pine seedlings and mycorrhizosphere microbial flora in contaminated soil. The Pseudomonas fluorescens strain OS81, originally isolated from fungal hyphae in contaminated soil, was supplied with the TOL plasmid pWW0::Km (to generate OS81(pWW0::Km)) and inoculated in humus-soil microcosms with and without pine seedlings mycorrhized with Suillus bovinus. After 3 months of regular treatment with m-toluate (mTA) solutions, the introduced catabolic plasmid was found to be disseminated in the indigenous bacterial population of both mycorrhizosphere and soil uncolonized by the fungus. Transconjugants were represented by bacteria of the genera Pseudomonas and Burkholderia and their number correlated positively with the concentration of mTA applied. Indigenous mTA degrading bacteria with low similarity to Burkholderia species were also enriched in microcosms. They were mostly associated with mycorrhizal soil or fungal structures and virtually absent in microcosms without pines. The total number of Tol(+) bacteria was higher in mycorrhizospheric soil compared with bulk soil. Inoculation with P. fluorescens OS81(pWW0::Km) had a positive effect on the development of roots and fungus in contaminated soil. Both inoculation with the P. fluorescens OS81(pWW0::Km) and mTA contamination as well as the presence of mycorrhized pine roots and fungal hyphae had an effect on the microbial community structure of soil as measured by carbon source oxidation patterns. However, the impact of mTA on the microbial community was more prominent. The study indicates that an effect on plant and fungal development can be obtained by manipulating the mycorrhizosphere. Both introduction of the bacterium carrying the degradative plasmid and the plasmid itself are likely to have a positive effect not only on the organisms involved, but also on bioremediation of contaminated soil, a factor that was not directly monitored here.

A new method with general diagnostic utility for the calculation of immunoglobulin G avidity.

The reference method for immunoglobulin G (IgG) avidity determination includes reagent-consuming serum titration. Aiming at better IgG avidity diagnostics, we applied a logistic model for the reproduction of antibody titration curves. This method was tested with well-characterized serum panels for cytomegalovirus, Epstein-Barr virus, rubella virus, parvovirus B19, and Toxoplasma gondii. This approach for IgG avidity calculation is generally applicable and attains the diagnostic performance of the reference method while being less laborious and twice as cost-effective.

Optimization of selectivity in high-performance liquid chromatography using desirability functions and mixture designs according to PRISMA.

A computer program for the mobile phase optimization of high-performance liquid chromatography (HPLC) is described. The desirability function technique combined to the prisma mixture design was employed to enhance the quality of HPLC separations. The use of statistical models to predict the behaviour of retention times (tR) and band broadening at the different eluent compositions obtained by prisma was examined for dansyl amides and coumarins. The study showed that the dependence between the eluent composition and tR values of dansyl amides and coumarins can be expressed using quadratic regression models with a high degree of accuracy. Band broadening given by means of the band width at half-height (wh) was described by a linear regression model. Both models were used in calculating and predicting the resolution (Rs) in various solvent combinations. The desirability function converted the calculated (Rs) value into the desirability value (D), and the overall optimum was then defined by means of the overall desirability. The optimal eluent mixtures for the separation of compounds were easily read from the contour plot inside the horizontal plane of the prisma model. A good separation was achieved using the optimized solvent combination. Depending on the aims of the optimal separation, the program allows either optimization of critical pairs or achieving the overall optimum giving a reasonable separation for as many compounds as possible.

Optimization of selectivity and resolution in micellar electrokinetic capillary chromatography with a mixed micellar system of sodium dodecyl sulfate and sodium cholate.

Selectivity and resolution were studied for the separation of seven corticosteroids by micellar electrokinetic capillary chromatography (MEKC) using a mixed micellar solution of sodium dodecyl sulfate (SDS) and sodium cholate (SC), buffered with 3-(N-morpholino)propanesulfonic acid (MOPS) or 3-[(1,1-dimethyl-2-hydroxyethyl)amino]-2-hydroxypropane sulfonic acid (AMPSO). The changes in selectivity were compared for the AMPSO-SDS-SC system by varying the pH and the concentrations of AMPSO, SDS and SC. The experimental design started with the central composite design and continued in a sequential manner. The optimum selectivity for the separation of the corticosteroids was calculated from the analyte migration times and the analyte velocities, by using empirical quadratic regression models. Satisfactory regression fits and coefficients of determination for prediction were obtained with cross-validated models. To optimize the resolution, the physical parameters of capillary length and analysis time were varied under the conditions optimal for the selectivity. In both the selectivity and the resolution, optimization the overall optimum was determined by using the desirability function technique. Analysis times were controlled by using 1,3-diaminopropane to influence the electroosmotic flow velocity (veo). The voltage was kept constant, which resulted in higher electric field strength in shorter capillaries. No changes in the selectivity were observed when 1,3-diaminopropane was used to control the electroosmotic flow velocity. Such an optimization technique, where the chemical and physical factors affecting the separation are treated independently, seemed to be effective for finding the best possible resolution for the corticosteroids.

Optimized separation of seven corticosteroids by micellar electrokinetic chromatography.

The corticosteroids studied can be effectively separated by employing micellar electrokinetic capillary chromatography (MECC). The effect of pH, borate concentration and the sodium dodecyl sulfate (SDS) concentration on both the resolution and the selectivity was studied under 15 different experimental conditions. The experimental design was similar to the central composite design approach. Empirical quadratic regression models were derived for analyte migration time, band broadening and analyte velocity. Satisfactory regression fits and coefficients of determination for prediction were obtained with cross-validated models. The models for analyte migration time and analyte velocity were in good agreement with theory. Modeling of the band broadening seemed to be somewhat more complicated. Optimum conditions for resolution and selectivity were different. This is due to the fact that selectivity studies ignore the electroosmotic and band broadening properties of different electrolyte solutions. However, the study of the selectivity yielded good information about the suitability of the electrolyte systems for the particular separation problem. Although a high solubilizing power of SDS caused the corticosteroids to partition strongly into the SDS micelles, a good separation could be achieved at low SDS concentrations.