HIV-specific CD8+ T cells exhibit markedly reduced levels of Bcl-2 and Bcl-xL

Human immunodeficiency virus-specific CD8(+) T cells are highly sensitive to spontaneous and CD95/Fas-induced apoptosis, and this sensitivity may impair their ability to control HIV infection. To elucidate the mechanism behind this sensitivity, in this study we examined the levels of antiapoptotic molecules Bcl-2 and Bcl-x(L) in HIV-specific CD8(+) T cells from HIV-infected individuals. Bcl-2 expression was markedly decreased in HIV-specific CD8(+) T cells compared with CMV-specific and total CD8(+) T cells from HIV-infected individuals as well as total CD8(+) T cells from healthy donors. CD8(+) T cell Bcl-2 levels inversely correlated with spontaneous and CD95/Fas-induced apoptosis of CD8(+) T cells from HIV-infected individuals. HIV-specific CD8(+) T cells also had significantly lower levels of Bcl-x(L) compared with CMV-specific CD8(+) T cells. Finally, IL-15 induces both Bcl-2 and Bcl-x(L) expression in HIV-specific and total CD8(+) T cells, and this correlated with apoptosis inhibition and increased survival in both short- and long-term cultures. Our data indicate that reduced Bcl-2 and Bcl-x(L) may play an important role in the increased sensitivity to apoptosis of HIV-specific CD8(+) T cells and suggest a possible mechanism by which IL-15 increases their survival.     

Structural characterization of the lipid A region of Aeromonas salmonicida subsp. salmonicida lipopolysaccharide

The lipid A components of Aeromonas salmonicida subsp. salmonicida from strains A449, 80204-1 and an in vivo rough isolate were isolated by mild acid hydrolysis of the lipopolysaccharide. Structural studies carried out by a combination of fatty acid, electrospray ionization-mass spectrometry and nuclear magnetic resonance analyses confirmed that the structure of lipid A was conserved among different isolates of A. salmonicida subsp. salmonicida. All analyzed strains contained three major lipid A molecules differing in acylation patterns corresponding to tetra-, penta- and hexaacylated lipid A species and comprising 4'-monophosphorylated beta-2-amino-2-deoxy-d-glucopyranose-(1-->6)-2-amino-2-deoxy-d-glucopyranose disaccharide, where the reducing end 2-amino-2-deoxy-d-glucose was present primarily in the alpha-pyranose form. Electrospray ionization-tandem mass spectrometry fragment pattern analysis, including investigation of the inner-ring fragmentation, allowed the localization of fatty acyl residues on the disaccharide backbone of lipid A. The tetraacylated lipid A structure containing 3-(dodecanoyloxy)tetradecanoic acid at N-2',3-hydroxytetradecanoic acid at N-2 and 3-hydroxytetradecanoic acid at O-3, respectively, was found. The pentaacyl lipid A molecule had a similar fatty acid distribution pattern and, additionally, carried 3-hydroxytetradecanoic acid at O-3'. In the hexaacylated lipid A structure, 3-hydroxytetradecanoic acid at O-3' was esterified with a secondary 9-hexadecenoic acid. Interestingly, lipid A of the in vivo rough isolate contained predominantly tetra- and pentaacylated lipid A species suggesting that the presence of the hexaacyl lipid A was associated with the smooth-form lipopolysaccharide.     

Is Active Management the Key to the Conservation of Saproxylic Biodiversity? Pollarding Promotes the Formation of Tree Hollows

Trees with hollows are key features sustaining biodiversity in wooded landscapes. They host rich assemblages of often highly specialised organisms. Hollow trees, however, have become rare and localised in Europe. Many of the associated biota is thus declining or endangered. The challenge of its conservation, therefore, is to safeguard the presence of hollow trees in sufficient numbers. Populations of numerous species associated with tree hollows and dead wood are often found in habitats that were formed by formerly common traditional silvicultural practices such as coppicing, pollarding or pasture. Although it has been occasionally mentioned that such practices increase the formation of hollows and the availability of often sun-exposed dead wood, their effect has never been quantified. Our study examined the hollow incidence in pollard and non-pollard (unmanaged) willows and the effect of pollarding on incremental growth rate by tree ring analysis. The probability of hollow occurrence was substantially higher in pollard than in non-pollard trees. Young pollards, especially, form hollows much more often than non-pollards; for instance, in trees of 50 cm DBH, the probability of hollow ocurrence was ∼0.75 in pollards, but only ∼0.3 in non-pollards. No difference in growth rate was found. Pollarding thus leads to the rapid formation of tree hollows, a habitat usually associated with old trees. It is therefore potentially a very important tool in the restoration of saproxylic habitats and conservation of hollow-dependent fauna. If applied along e.g. roads and watercourses, pollarding could also be used to increase landscape connectivity for saproxylic organisms. In reserves where pollarding was formerly practiced, its restoration would be necessary to prevent loss of saproxylic biodiversity. Our results point to the importance of active management measures for maintaining availability, and spatial and temporal continuity of deadwood microhabitats.     

Construction of disease-specific cytokine profiles by associating disease genes with immune responses

The pathogenesis of many inflammatory diseases is a coordinated process involving metabolic dysfunctions and immune response—usually modulated by the production of cytokines and associated inflammatory molecules. In this work, we seek to understand how genes involved in pathogenesis which are often not associated with the immune system in an obvious way communicate with the immune system. We have embedded a network of human protein-protein interactions (PPI) from the STRING database with 14,707 human genes using feature learning that captures high confidence edges. We have found that our predicted Association Scores derived from the features extracted from STRING’s high confidence edges are useful for predicting novel connections between genes, thus enabling the construction of a full map of predicted associations for all possible pairs between 14,707 human genes. In particular, we analyzed the pattern of associations for 126 cytokines and found that the six patterns of cytokine interaction with human genes are consistent with their functional classifications. To define the disease-specific roles of cytokines we have collected gene sets for 11,944 diseases from DisGeNET. We used these gene sets to predict disease-specific gene associations with cytokines by calculating the normalized average Association Scores between disease-associated gene sets and the 126 cytokines; this creates a unique profile of inflammatory genes (both known and predicted) for each disease. We validated our predicted cytokine associations by comparing them to known associations for 171 diseases. The predicted cytokine profiles correlate (p-value<0.0003) with the known ones in 95 diseases. We further characterized the profiles of each disease by calculating an “Inflammation Score” that summarizes different modes of immune responses. Finally, by analyzing subnetworks formed between disease-specific pathogenesis genes, hormones, receptors, and cytokines, we identified the key genes responsible for interactions between pathogenesis and inflammatory responses. These genes and the corresponding cytokines used by different immune disorders suggest unique targets for drug discovery.     

The Effects of Some Chlorinated Hydrocarbons on Certain Soil Bacteria

S ummary . Some common soil bacteria have been shown to tolerate the presence of chlorinated hydrocarbon fumigants. Several of these bacteria indicated an ability to utilize the chemicals as carbon or energy sources. The breakdown of these fumigants may yield compounds either beneficial or detrimental to plants grown in treated soil. Such information is critical to plant disease control since these chemicals are used for the control of plant pathogens, primarily nematodes. It is suggested that the side effects of soil treatment by which plants are stimulated in their growth is a direct consequence of enhanced beneficial microbial activity.     

Assessing and reporting heterogeneity in treatment effects in clinical trials: a proposal

Background

This paper presents the study protocol for a pragmatic randomised controlled trial to evaluate the impact of a school based program developed to prevent teenage pregnancy. The program includes students taking care of an Infant Simulator; despite growing popularity and an increasing global presence of such programs, there is no published evidence of their long-term impact. The aim of this trial is to evaluate the Virtual Infant Parenting (VIP) program by investigating pre-conceptual health and risk behaviours, teen pregnancy and the resultant birth outcomes, early child health and maternal health.

Methods and Design

Fifty-seven schools (86% of 66 eligible secondary schools) in Perth, Australia were recruited to the clustered (by school) randomised trial, with even randomisation to the intervention and control arms. Between 2003 and 2006, the VIP program was administered to 1,267 participants in the intervention schools, while 1,567 participants in the non-intervention schools received standard curriculum. Participants were all female and aged between 13-15 years upon recruitment. Pre and post-intervention questionnaires measured short-term impact and participants are now being followed through their teenage years via data linkage to hospital medical records, abortion clinics and education records. Participants who have a live birth are interviewed by face-to-face interview. Kaplan-Meier survival analysis and proportional hazards regression will test for differences in pregnancy, birth and abortion rates during the teenage years between the study arms.

Discussion

This protocol paper provides a detailed overview of the trial design as well as initial results in the form of participant flow. The authors describe the intervention and its delivery within the natural school setting and discuss the practical issues in the conduct of the trial, including recruitment. The trial is pragmatic and will directly inform those who provide Infant Simulator based programs in school settings.

Trial registration

ISRCTN24952438     

Effect of CO2 on succinate production in dual-phase Escherichia coli fermentations

Succinate production under different concentrations of carbon dioxide (CO₂) was studied in Escherichia coli AFP111, which contains mutations in pyruvate formate lyase (pfl), lactate dehydrogenase (ldhA) and the phosphotransferase system glucosephosphotransferase enzyme II (ptsG). A series of two-phase fermentations were conducted in which an aerobic cell growth phase was followed by an anaerobic succinate production phase using several constant concentrations of CO₂. As the concentration of CO₂ in the gas phase increased from 0% to 50%, the succinate specific productivity increased from 1.9 mg/g h to 225 mg/g h, and the succinate yield increased from 0.04 g/g to 0.75 g/g. Above 50% CO₂, succinate production did not increase further. Intracellular fluxes were determined at three different CO₂ concentrations (3%, 10%, and 50%) using ¹³C-label tracing coupled with LC–MS analysis. The fraction of carbon flux into the pentose phosphate pathway increased from 0.04 at 3% CO₂ to 0.17 at 50% CO₂. Also, the fractional flux through anaplerotic carboxylation at the phosphoenolpyruvate (PEP) node increased slightly from 0.53 at 3% CO₂ to 0.63 at 50% CO₂. The increased flux into the pentose phosphate pathway is attributed to an increased demand for reduced cofactors with elevated CO₂. A four-process explicit model to describe the CO₂ transfer and utilization was proposed. The model predicted that at CO₂ concentrations below about 30–40% the system becomes limited by gas phase CO₂, while at higher CO₂ concentrations the system is limited by PEP carboxylase enzyme kinetics.     

Study of Matrix Additives for Sensitive Analysis of Lipid A by Matrix-Assisted Laser Desorption Ionization Mass Spectrometry

Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has been widely used for structural characterization of bacterial endotoxins (lipid A). However, the mass spectrometric behavior of the lipid A molecule is highly dependent on the matrix. Furthermore, this dependence is strongly linked to phosphorylation patterns. Using lipid A from Escherichia coli O116 as a model system, we have investigated the effects of different matrices and comatrix compounds on the analysis of lipid A. In this paper, we report a highly sensitive matrix system for lipid A analysis, which consists of 5-chloro-2-mercaptobenzothiazole matrix and EDTA ammonium salt comatrix. This matrix system enhances the sensitivity of the analysis of diphosphorylated lipid A species by more than 100-fold and in addition provides tolerance to high concentrations of sodium dodecyl sulfate (SDS) and tolerance to sodium chloride and calcium chloride at 10 μM, 100 μM, and 10 μM concentrations. The method was further evaluated for analysis of lipid A species with different phosphorylation patterns and from different bacteria, including Helicobacter pylori, Salmonella enterica serovar Riogrande, and Francisella novicida.Lipopolysaccharide (LPS) is a major component of the outer membranes of Gram-negative bacteria (21). Typically, LPS molecules consist of a hydrophilic carbohydrate portion and a hydrophobic lipid A (or endotoxin). The lipid A molecule consists of a fatty acyl substituted β-d-GlcN-(1-6)-α-GlcN disaccharide unit that usually carries phosphate groups. Diphosphorylated lipid A is generally presumed to be phosphorylated at C-1 and C-4′ positions (9); however, lipid A moieties containing pyrophosphate (PP) groups have also been reported (13). The presence of phosphate groups in lipid A greatly affects the endotoxic properties of LPS (22). Deletion of either of these groups reduces an endotoxic activity of the resulting monophosphorylated LPS by approximately 100-fold (18). For example, monophosphorylated lipid A has been used as an adjuvant in a hepatitis B vaccine in Europe (1, 12).Mass spectrometry (MS) has been widely used to gain information about the heterogeneity, i.e., the number of different species of lipid A families and a distribution of fatty acids on each glucosamine residue (2, 3, 9, 16, 20, 23, 28, 29, 30, 32, 35, 36). Detailed structural information, including the phosphorylation pattern of lipid A, can be obtained by tandem mass spectrometry. Several matrices have been used for the analysis of lipid A using matrix-assisted laser desorption ionization-time of flight MS (MALDI-TOF MS), including 2,5-dihydroxybenzoic acid (DHB), 2,4,6-trihydroxyacetophenone (THAP), and 6-aza-2-thiothymine (ATT) (8). Although DHB has been widely used for peptide analysis, it produces uneven crystals and leads to poor spot-to-spot reproducibility (3, 6, 11). Furthermore, the low solubility in the solvent compatible with lipid A and nonuniformity in a matrix layer (crystals) can lead to variations in the ionization yield across the sample resulting in formation of “hot” (or “sweet”) spots (14). On the other hand, 5-chloro-2-mercaptobenzothiazole (CMBT) was found to offer excellent spot-to-spot reproducibility because of the homogeneous crystallization of the analyte/matrix mixture over the sample spot (33). CMBT is soluble in methanol-chloroform-water (4:4:1, vol:vol:vol), a solvent compatible with lipid A molecules, especially hexaacylated species. Thus, it has been widely used for lipid A analysis (4, 9, 23, 35, 33). Interestingly, different preparation procedures for analysis of lipid A species dictate a selection of the preferred matrix system (10). For example, lipid A prepared using a TRI Reagent-based procedure with a CMBT matrix was preferable for the detection of phosphoethanolamine modifications (35). On the other hand, the analysis of lipid A prepared using an LPS extraction kit-based procedure with DHB was preferable for the detection of aminoarabinose modification (10). In addition, divalent cations, such as Ca²⁺ or Mg²⁺, can bridge the phosphorylated negatively charged groups between neighboring LPS molecules to form aggregates (24). Thus, there is a need for technologies capable of characterizing lipid A from biologically relevant samples in an accurate, rapid, and highly sensitive manner. Here we attempt to establish an optimized MALDI MS matrix system for the sensitive analysis of lipid A, especially its diphosphorylated forms, including both pyrophosphorylated and bisphosphorylated species. We also propose to incorporate a complex reagent (additive or comatrix) for reducing the interference of cations (5, 7, 15).     

Using surface envelopes to constrain molecular modeling

Molecular density information (as measured by electron microscopic reconstructions or crystallographic density maps) can be a powerful source of information for molecular modeling. Molecular density constrains models by specifying where atoms should and should not be. Low-resolution density information can often be obtained relatively quickly, and there is a need for methods that use it effectively. We have previously described a method for scoring molecular models with surface envelopes to discriminate between plausible and implausible fits. We showed that we could successfully filter out models with the wrong shape based on this discrimination power. Ideally, however, surface information should be used during the modeling process to constrain the conformations that are sampled. In this paper, we describe an extension of our method for using shape information during computational modeling. We use the envelope scoring metric as part of an objective function in a global optimization that also optimizes distances and angles while avoiding collisions. We systematically tested surface representations of proteins (using all nonhydrogen heavy atoms) with different abundance of distance information and showed that the root mean square deviation (RMSD) of models built with envelope information is consistently improved, particularly in data sets with relatively small sets of short-range distances.