Relationship between paired cord blood and milk POPs levels as a tool for assessing perinatal exposure,a pilot study

The long-term health threats posed to humans exposed to pollutants acting as endocrine disruptors (EDs) is yet to be quantified. There is insufficient knowledge about the sources and magnitude of exposure to selected polybrominated diphenyl ethers (PBDEs) and polychlorinated biphenyls (PCBs) during the most sensitive period of fetal development, suggesting the need for a study. Organochlorine pesticides, classified as being persistent organic pollutants (POPs) and potential EDs, were also included in this analysis. Xenobiotics were measured in paired fetal cord blood and maternal breast milk samples. There were no significant differences in the concentrations of PCB-101, PBDE-47, and PBDE-99 between maternal milk and cord blood according to the Wilcoxon test, and the Spearman tests demonstrated significant correlations in β-HCH, γ-HCH, p,p'-DDE, and PCB-118 between maternal milk and cord blood from the same subjects. All others tested (HCB, β-HCH, γ-HCH, p,p'-DDE, p,p'-DDD, p,p'-DDT, PCB-101, PCB-138, PCB-153, PCB-170, PCB-180, PBDE-153) demonstrated significant differences in the same subject women with concentrations significantly higher in maternal milk than in cord blood. The presence of these compounds found in cord blood and maternal milk indicates that both are a source of perinatal exposure to these pollutants. This study opens up the opportunity for new research in estimating a prenatal exposure based on breast milk concentrations of organohalogen compounds.     

Gene Expression Signature Differentiates Histology But Not Progression Status of Early-Stage NSCLC

Advances in molecular analyses based on high-throughput technologies can contribute to a more accurate classification of non–small cell lung cancer (NSCLC), as well as a better prediction of both the disease course and the efficacy of targeted therapies. Here we set out to analyze whether global gene expression profiling performed in a group of early-stage NSCLC patients can contribute to classifying tumor subtypes and predicting the disease prognosis. Gene expression profiling was performed with the use of the microarray technology in a training set of 108 NSCLC samples. Subsequently, the recorded findings were validated further in an independent cohort of 44 samples. We demonstrated that the specific gene patterns differed significantly between lung adenocarcinoma (AC) and squamous cell lung carcinoma (SCC) samples. Furthermore, we developed and validated a novel 53-gene signature distinguishing SCC from AC with 93% accuracy. Evaluation of the classifier performance in the validation set showed that our predictor classified the AC patients with 100% sensitivity and 88% specificity. We revealed that gene expression patterns observed in the early stages of NSCLC may help elucidate the histological distinctions of tumors through identification of different gene-mediated biological processes involved in the pathogenesis of histologically distinct tumors. However, we showed here that the gene expression profiles did not provide additional value in predicting the progression status of the early-stage NSCLC. Nevertheless, the gene expression signature analysis enabled us to perform a reliable subclassification of NSCLC tumors, and it can therefore become a useful diagnostic tool for a more accurate selection of patients for targeted therapies.     

Evaluation of DNA Variants Associated with Androgenetic Alopecia and Their Potential to Predict Male Pattern Baldness

Androgenetic alopecia, known in men as male pattern baldness (MPB), is a very conspicuous condition that is particularly frequent among European men and thus contributes markedly to variation in physical appearance traits amongst Europeans. Recent studies have revealed multiple genes and polymorphisms to be associated with susceptibility to MPB. In this study, 50 candidate SNPs for androgenetic alopecia were analyzed in order to verify their potential to predict MPB. Significant associations were confirmed for 29 SNPs from chromosomes X, 1, 5, 7, 18 and 20. A simple 5-SNP prediction model and an extended 20-SNP model were developed based on a discovery panel of 305 males from various European populations fitting one of two distinct phenotype categories. The first category consisted of men below 50 years of age with significant baldness and the second; men aged 50 years or older lacking baldness. The simple model comprised the five best predictors: rs5919324 near AR, rs1998076 in the 20p11 region, rs929626 in EBF1, rs12565727 in TARDBP and rs756853 in HDAC9. The extended prediction model added 15 SNPs from five genomic regions that improved overall prevalence-adjusted predictive accuracy measured by area under the receiver characteristic operating curve (AUC). Both models were evaluated for predictive accuracy using a test set of 300 males reflecting the general European population. Applying a 65% probability threshold, high prediction sensitivity of 87.1% but low specificity of 42.4% was obtained in men aged <50 years. In men aged ≥50, prediction sensitivity was slightly lower at 67.7% while specificity reached 90%. Overall, the AUC=0.761 calculated for men at or above 50 years of age indicates these SNPs offer considerable potential for the application of genetic tests to predict MPB patterns, adding a highly informative predictive system to the emerging field of forensic analysis of externally visible characteristics.     

An assessment of potential exposure to bioaerosols among swine farm workers with particular reference to airborne microorganisms in the respirable fraction under various breeding conditions

The project was aimed at evaluating the potential occupational exposure of swine farm workers to dust and microorganisms present in piggery bioaerosols (especially in its respirable fraction) under various breeding conditions. Sampling was carried out in 14 buildings located at 13 pig breeding and production farms in Poland. Concentrations of inhalable and respirable dusts in the air of the piggeries were low (means, respectively, 1.76 and 0.23 mg/m³). The concentration of microorganisms was generally high (mean = 3.53 × 10⁵ cfu/m³). More than 96% of determined microorganisms were bacteria (mean = 3.42 × 10⁵ cfu/m³). The fungal concentration was distinctly lower (mean = 2.71 × 10³ cfu/m³). The concentration of bacteria in the respirable fraction of bioaerosol (mean = 1.51 × 10⁵ cfu/m³) made up for 48.2% of their total concentration, while the level of fungi in that fraction (mean = 1.50 × 10³ cfu/m³) formed 68.8% of the total fungal concentration. The concentration of inhalable dust was significantly modified by the type of breeding system. The factors that significantly affected the total concentrations of microbes and bacteria, as well as their levels in the bioaerosols’ respirable fraction were as follows: herd size, breeding system, feeding method and the type of ventilation system. In the case of fungi, these were the livestock breeding system and the feeding method. Moreover, there was a high positive correlation of inhalable dust concentrations with the fungal concentration, CO₂ and relative humidity. A negative correlation was found between concentrations of each microbe group and the airflow velocity. Swine farm workers are exposed to relatively low dust concentrations and high concentrations of microorganisms, bacteria in particular. Fungi, to a much larger extent than bacteria, are correlated with the respirable particles of a piggery bioaerosol, which may harm the respiratory system of exposed workers.     

The studies on substrate,product and inhibitor binding to a wild-type and neuronopathic form of human acid-β-glucosidase

Gaucher disease is a lysosomal storage disorder caused by deficiency of human acid β-glucosidase. Recent x-ray structural elucidation of the enzyme alone and in the presence of its inhibitor was done, which provided an excellent template for further studies on the binding of substrate, product and inhibitor. To draw correlations between the clinical manifestation of the disease driven by point mutations, L444P and L444R, and the placement and function of putative S-binding sites, the presented theoretical studies were undertaken, which comprised of molecular dynamics and molecular docking methods. The obtained results indicate the D443 and D445 residues as extremely important for physiological functionality of an enzyme. They also show, although indirectly, that binding of the substrate is influenced by an interplay of E235 and E334 residues, constituting putative substrate binding site, and the region flanked by D435 and D445 residues. Figure The binding of an arbitrarily chosen structure of glucosylceramide (A), conduritol-β-epoxide (B), glucose (C) to the active site D443/D445 (A1, B1, C1) and E320/E340 (A2, B2, C2) of the wild-type structure of human acid-β-glucosidase. A1, B1, C1 blue mask represents the residues D443-D445; red mask represents the residue D444; A2, B2, C2 blue mask represents loop1 (Ser³⁴⁵-Glu³⁴⁹) and loop2 (Val³⁹⁴-Asp³⁹⁹), whereas red mask the residues E235 and 340     

Identification of copper(II) binding sites in actinomycin D, a cytostatic drug--correlation of coordination with DNA damage

Actinomycin D (AD) is a potent anticancer drug widely applied in therapy, which however exhibits very high toxicity in humans. As the character of donors present in the AD molecule seems to be very favorable for Cu(II) ions, we undertook the coordination study on the Cu(II)-AD system. Potentiometric experiments proved a formation of very stable complexes and with the use of spectroscopic methods the identification of the binding sites was made. The values of potential energy minima, provided by theoretical modeling, confirmed the feasibility of formation of the complexes in water solution. We also demonstrated a significant effect of Cu(II) ions on AD interactions with DNA. The strand-nicking activity was observed. This process could be correlated with the speciation of complex forms. We also found out that in the presence of H2O2, low levels of Cu(II)-AD complexes induce the formation of considerable amounts of linearised plasmid. In consequence, the hypothesis is proposed that the physiologically available cupric ions may participate in the drug-induced toxic effects.     

Ecological factors influence population genetic structure of European grey wolves

Although the mechanisms controlling gene flow among populations are particularly important for evolutionary processes, they are still poorly understood, especially in the case of large carnivoran mammals with extensive continuous distributions. We studied the question of factors affecting population genetic structure in the grey wolf, Canis lupus, one of the most mobile terrestrial carnivores. We analysed variability in mitochondrial DNA and 14 microsatellite loci for a sample of 643 individuals from 59 localities representing most of the continuous wolf range in Eastern Europe. We tested an array of geographical, historical and ecological factors to check whether they may explain genetic differentiation among local wolf populations. We showed that wolf populations in Eastern Europe displayed nonrandom spatial genetic structure in the absence of obvious physical barriers to movement. Neither topographic barriers nor past fragmentation could explain spatial genetic structure. However, we found that the genetic differentiation among local populations was correlated with climate, habitat types, and wolf diet composition. This result shows that ecological processes may strongly influence the amount of gene flow among populations. We suggest natal-habitat-biased dispersal as an underlying mechanism linking population ecology with population genetic structure.     

Polysaccharides and mucin 5AC (MUC5AC) expression in gallbladder mucosa of young patients with gallstones as evaluated by spatial visualization and quantification

The study aimed at examination of tissue expression of polysaccharides and secretory mucin 5AC (MUC5AC) in young patients (up to 25 years of age) with a symptomatic gallstones. For comparison, patients most frequently subjected to cholecystectomy were studied, i.e. patients of approximately 50 years of age with the same diagnosis. In quantitative studies on tissue expression of both mucus components, the modern technique of spatial visualization was applied for the first time. Application of the technique permitted to demonstrate significant positive relationships between expression of glycoproteins (immunocytochemical ABC technique for detection of MUC5AC) and expression of sugar components in mucus (PAS technique) and to confirm suitability of the technique for quantitative appraisal of both histochemical and immunocytochemical reactions. An even higher expression of polysaccharides in the entire mucosa and of MUC5AC was detected in gallbladder epithelium of 50-year-old patients, as compared to young patients with symptomatic gallstones. In the young patients, expression of polysaccharides correlated with inflammatory activity (grading), width of gallbladder wall and PLT level in peripheral blood. A significantly higher expression of polysaccharides in gallbladder epithelium was demonstrated in young patients admitted in the emergency mode to the hospital. These correlations in young patients may suggest a role of both mucus components in pathogenesis of cholelithiasis in this age group. A quantitative appraisal of mucus component expression in the two parts of gallbladder mucosa (epithelium vs. entire mucosa) using spatial visualization technique permitted to more accurately compare production of glycoproteins and of polysaccharides in patients with cholelithiasis and to demonstrate additional correlations of a potential clinical significance.     

Estimation of bird distribution based on ring re‐encounters: precision and bias of the division coefficient and its relation to multi‐state models

Capsule The division coefficient is an estimate of the proportion of ringed birds migrating to different destination areas taking into account area‐specific re‐encounter probabilities.

Aims To explore precision and bias of the division coefficient method by a simulation study and to compare the approach with multi‐state models.

Methods In a simulation study true and estimated division coefficients were compared. The division coefficient method was mathematically compared with the multi‐state model.

Results The estimated division coefficients seemed to be unbiased if the assumptions were met. The precision decreased if the bird distribution became similar in both bird groups and when difference between area‐specific re‐encounter probabilities increased. A bootstrap method to assess precision is presented. The estimates from the division coefficient method equal the maximum likelihood estimates in a multi‐state model including only one time interval.

Conclusion Before applying the division coefficient method or a multi‐state model to real data a simulation study should be conducted in order to explore the behaviour of parameter estimation. The division coefficient method with the bootstrap confidence intervals is an easy alternative to a multi‐state model with one time interval when the bird distribution between destination areas (e.g. migratory connectivity) alone is of interest.