Breast cancer aromatase expression evaluated by the novel antibody 677: Correlations to intra-tumor estrogen levels and hormone receptor status

Breast cancer tissue estrogen levels on an average exceed plasma as well as benign breast tissue levels. To evaluate the contribution of intra-tumor aromatization to individual tumor estrogen levels (estradiol, E₂; estrone, E₁; estrone sulfate, E₁S), breast cancer tissue sections obtained during mastectomy in 28 postmenopausal breast cancer patients were stained for aromatase protein expression using the aromatase antibody 677. The findings were correlated to intra-tumor estrogen levels determined with a highly sensitive HPLC-RIA. Staining with 677 alone (irrespective of the hormone receptor status) revealed no difference in tumor E₂ levels comparing 677+ versus 677? tumors, although a non-significant trend towards higher tumor E₁ and E₁S levels was observed in 677+ breast cancers. In contrast, tumor levels of E₂ were significantly higher in ER+ tumors compared to ER? tumors (P < 0.001) and to benign breast tissue from the same breast (P < 0.001). Analysing the additional effect of positive staining with the aromatase antibody 677 on tumor estrogen levels in the subgroup of ER+ tumors, revealed significantly higher tumor levels of E₂ (mean level of 544.7 versus 197.1 fmol/g tissue) as well as a non-significant trend concerning tumor E₁ (mean level of 296.9 versus 102.1 fmol/g tissue). The mean tumor tissue E₁S level was observed somewhat lower in ER+677+ (103.5 fmol/g) versus ER+677? tumors (190.1 fmol/g). In the subgroup of ER+PgR+ tumors, tissue levels of E₂ were also found to be significantly higher among 677+ compared to 677? tumors: 873.2 fmol/g (95% CI 395.9–1925.6) versus 217.9 fmol/g (95% CI 88.8–534.9) (P = 0.015).In conclusion, our results indicate a moderate effect of aromatase enzyme expression evaluated by IHC using the antibody 677 on intra-tumor estrogen levels among ER+ breast cancers. A substantial interindividual variation in the ratios between the individual estrogen fractions suggests additional effects, like alterations in other enzymes to be involved in the intra-tumor estrogen homeostasis.     

Staphylococcus epidermidis polysaccharide intercellular adhesin activates complement

Staphylococcus epidermidis is a frequent cause of nosocomial infections. The central virulence factor of S. epidermidis is biofilm formation. Polysaccharide intercellular adhesin (PIA) constitutes the major biofilm matrix-component. PIA and biofilm have been implicated in S. epidermidis evasion of host immune defence. We examined the effects of S. epidermidis PIA on the inflammatory response with focus on complement activation. We used a human whole-blood ex vivo model of infection and compared the effects of a PIA-positive S. epidermidis strain (SE1457) and its PIA-negative isogenic mutant (M10). The independent effect of purified PIA on complement activation was investigated. In glucose-rich media, the mutant formed a proteinacious DNA-rich biofilm, whereas SE1457 formed a thick PIA-biofilm. In biofilm growth, SE1457 induced a stronger activation of the complement system compared with M10. We verified that purified PIA was independently responsible for a strong activation of the complement system. In contrast, M10 induced higher granulocyte activation by expression of CD11b and higher secretion of cytokines. We conclude that PIA has potent pro-inflammatory properties by activating the complement system. However, in a complex balance of the immune response, the decreased activation of granulocytes and cytokines by a PIA biofilm may limit host eradication of S. epidermidis.     

Emergence, spread, persistence and fade-out of sylvatic plague in Kazakhstan

Predicting the dynamics of zoonoses in wildlife is important not only for prevention of transmission to humans, but also for improving the general understanding of epidemiological processes. A large dataset on sylvatic plague in the Pre-Balkhash area of Kazakhstan (collected for surveillance purposes) provides a rare opportunity for detailed statistical modelling of an infectious disease. Previous work using these data has revealed a host abundance threshold for epizootics, and climatic influences on plague prevalence. Here, we present a model describing the local space-time dynamics of the disease at a spatial scale of 20 × 20 km(2) and a biannual temporal scale, distinguishing between invasion and persistence events. We used a Bayesian imputation method to account for uncertainties resulting from poor data in explanatory variables and response variables. Spatial autocorrelation in the data was accounted for in imputations and analyses through random effects. The results show (i) a clear effect of spatial transmission, (ii) a high probability of persistence compared with invasion, and (iii) a stronger influence of rodent abundance on invasion than on persistence. In particular, there was a substantial probability of persistence also at low host abundance.     

The cost of dishonesty

The handicap principle states that stable biological signals must be honest and costly to produce. The cost of the signal should reflect the true quality of the signaller. Here, it is argued that honest signalling may be maintained although the used signals are not handicaps. A game theoretic model in the form of a game of signalling is presented: all the existing evolutionarily stable strategies (ESSs) are found. Honest and cheap signalling of male quality is shown to be evolutionarily stable if females divorce the mate if it turns out that he has cheated about his quality. However, for this ESS to apply, the cost of lost time must not be too great. The stability of the honest signalling is based on deceivers being prevented from spreading in the population because they suffer from a cost of divorce. Under some fairly strict conditions, a mixed polymorphism of dishonesty and honesty represents another possible ESS.     

Mate choice copying versus preference for actively displaying males by female pied flycatchers

Should a female copy the mate choice of other females? A female may rank a mated male higher in quality than an unmated male because the former has demonstrated that he is able to attract a female. However, a prospecting female may also avoid a mated male because of the risk that she has to compete with the male's initial mate over access to copulations, breeding resources and male parental care. We studied the mate choice of female pied flycatchers Ficedula hypoleuca, in aviaries divided into three compartments, two for males, and one for a female. A female was allowed to choose (build a nest in a nestbox) between two males after a period when she had been kept in a cage behind a one-way mirror and had presumably seen that one of the males was in the company of another female for 5 h. There was no evidence that females copied the mate choice of conspecific females, or that they avoided males that had recently been in the company of another female. Instead, females apparently chose a mate independently of others, choosing the male showing most courtship display. The latter result explains the consistency in mate choice observed when different females chose between the same pair of males in repeat trials. The ability of females to pick out the same male independently may also explain why a few males obtain most copulations in lekking species. Copyright 1999 The Association for the Study of Animal Behaviour.     

Bayesian population dynamics of interacting species: great gerbils and fleas in Kazakhstan

We propose a discrete-time Bayesian hierarchical model for the population dynamics of the great gerbil-flea ecological system. The model accounts for the sampling variability arising from data originally collected for other purposes. The prior for the unknown population densities incorporates specific biological hypotheses regarding the interacting dynamics of the two species, as well as their life cycles, where density-dependent effects are included. Posterior estimates are obtained via Markov chain Monte Carlo. The variance of the observed density estimates is a quadratic function of the unknown density. Our study indicates the presence of a density-dependent growth rate for the gerbil population. For the flea population there is clear evidence of density-dependent over-summer net growth, which is dependent on the flea-to-gerbil ratio at the beginning of the reproductive summer. Over-winter net growth is favored by high density. We estimate that on average 35% of the gerbil population survives the winter. Our study shows that hierarchical Bayesian models can be useful in extracting ecobiological information from observational data.     

Population dynamics ofClethrionomys glareolus andApodemus flavicollis: seasonal components of density dependence and density independence

Using long-term data on two forest rodent species [the bank voleClethrionomys glareolus (Schreber, 1780) and the yellow-necked mouseApodemus flavicollis (Melchior, 1834)] from the Białowieża Primeval Forest (E Poland), we decompose the annual density-dependent and density-independent structures into their seasonal components. For this purpose we adopt a state-space modelling approach explicitly incorporating sampling stochasticity. As density-independent factors we use the North Atlantic Oscillation (NAO) — a proxy variable for the overall climatic condition — and data on annual seed production. We find a weak effect of the NAO in the annual models for both species as well as during the winter in the seasonal model forC. glareolus. The effect of the NAO disappears, however, when seed-crops are incorporated into the models (for both the annual and the seasonal — suggesting that NAO primarily affects seed production). Seed production enters the models with a positive effect during the winter only, suggesting that the among-year variation in rodent density is primarily accounted for by differences in seed-production, particularly oak seeds. ForA. flavicollis, a slightly positive effect of hornbeam also appears in the summer dynamics. The obtained results are discussed on the basis of earlier studies on the same populations, on the same species studied elsewhere as well as on the basis of general ecological insight.

     

Modeling the epidemiological history of plague in Central Asia: Palaeoclimatic forcing on a disease system over the past millennium

Background

Human cases of plague (Yersinia pestis) infection originate, ultimately, in the bacterium's wildlife host populations. The epidemiological dynamics of the wildlife reservoir therefore determine the abundance, distribution and evolution of the pathogen, which in turn shape the frequency, distribution and virulence of human cases. Earlier studies have shown clear evidence of climatic forcing on contemporary plague abundance in rodents and humans.

Results

We find that high-resolution palaeoclimatic indices correlate with plague prevalence and population density in a major plague host species, the great gerbil (Rhombomys opimus), over 1949-1995. Climate-driven models trained on these data predict independent data on human plague cases in early 20th-century Kazakhstan from 1904-1948, suggesting a consistent impact of climate on large-scale wildlife reservoir dynamics influencing human epidemics. Extending the models further back in time, we also find correspondence between their predictions and qualitative records of plague epidemics over the past 1500 years.

Conclusions

Central Asian climate fluctuations appear to have had significant influences on regional human plague frequency in the first part of the 20th century, and probably over the past 1500 years. This first attempt at ecoepidemiological reconstruction of historical disease activity may shed some light on how long-term plague epidemiology interacts with human activity. As plague activity in Central Asia seems to have followed climate fluctuations over the past centuries, we may expect global warming to have an impact upon future plague epidemiology, probably sustaining or increasing plague activity in the region, at least in the rodent reservoirs, in the coming decades. See commentary: http://www.biomedcentral.com/1741-7007/8/108     

Detection and quantification of the crayfish plague agent in natural waters: direct monitoring approach for aquatic environments

Aphanomyces astaci, a specialised parasite of North American freshwater crayfish, is the disease agent of crayfish plague that is lethal to European freshwater crayfish. The life cycle of A. astaci has been inferred from experimental laboratory studies, but less is known about its natural sustainability and ecology. To address such questions, tools for monitoring of A. astaci directly in aquatic environments are needed. Here, we present an approach for detecting and quantifying A. astaci directly from water samples using species-specific TaqMan minor groove binder real-time PCR. Samples of a 10-fold dilution series from approximately 10(4) to approximately 1 spore of A. astaci were repeatedly tested, and reliable detection down to 1 spore was demonstrated. Further, to simulate real-life samples from natural water bodies, water samples from lakes of various water qualities were spiked with spores. The results demonstrated that co-extracted humic acids inhibit detection significantly. However, use of bovine serum albumin or the TaqMan Environmental Master Mix largely removes this problem. The practical application of the approach was successfully demonstrated on real-life water samples from crayfish farms in Finland hosting infected North American signal crayfish Pacifastacus leniusculus. Direct monitoring of A. astaci from aquatic environments may find application in the management of wild noble crayfish Astacus astacus stocks, improved aquaculture practices and more targeted conservation actions. The approach will further facilitate studies of A. astaci spore dynamics during plague outbreaks and in carrier crayfish populations, which will broaden our knowledge of the biology of this devastating crayfish pathogen.