Breeding success and nest-site characteristics of Red-breasted Flycatchers Ficedula parva in a primeval forest

Capsule Predation is a major factor influencing the breeding success of Red-breasted Flycatchers under natural conditions.

Aims To examine the breeding success of Red-breasted Flycatchers in relation to nest-site characteristics and time of breeding.

Methods Data were collected during seven breeding seasons under natural conditions in Bia?owie?a National Park. We used survival time analysis to estimate changes in survival probability over time and breeding success in relation to first-egg date and nest-site characteristics.

Results Offspring fledged successfully from 51% of clutches, but the Kaplan–Meier estimate of survival was lower at 0.43. Of the unsuccessful clutches, 82% were lost to predators. The highest probability of loss was during egg-laying and in the second half of incubation. Breeding success was influenced by the height of the nest above the ground, but no relation to other nest-site characteristics was found.

Conclusion To avoid predation Red-breasted Flycatchers build nests in various sites that are more open than most cavity-nesting species. The position of the nest-sites allows the sitting female to observe her surroundings and to escape rapidly from the nest, giving the chance for a replacement clutch.     

Genetic variation of the cutaneous HPA axis: An analysis of UVB-induced differential responses

Mammalian skin incorporates a local equivalent of the hypothalamic–pituitary–adrenal (HPA) axis that is critical in coordinating homeostatic responses against external noxious stimuli. Ultraviolet radiation B (UVB) is a skin-specific stressor that can activate this cutaneous HPA axis. Since C57BL/6 (B6) and DBA/2J (D2) strains of mice have different predispositions to sensorineural pathway activation, we quantified expression of HPA axis components at the gene and protein levels in skin incubated ex vivo after UVB or sham irradiation. Urocortin mRNA was up-regulated after all doses of UVB with a maximum level at 50 mJ/cm² after 12 h for D2 and at 200 mJ/cm² after 24 h for B6. Proopiomelanocortin mRNA was enhanced after 6 h with the peak after 12 h and at 200 mJ/cm² for both genotypes of mice. ACTH levels in tissue and media increased after 24 h in B6 but not in D2. UVB stimulated β-endorphin expression was higher in D2 than in B6. Melanocortin receptor 2 mRNA was stimulated by UVB in a dose-dependent manner, with a peak at 200 mJ/cm² after 12 h for both strains. The expression of Cyp11a1 mRNA — a key mitochondrial P450 enzyme in steroidogenesis, was stimulated at all doses of UVB irradiation, with the most pronounced effect after 12–24 h. UVB radiation caused, independently of genotype, a dose-dependent increase in corticosterone production in the skin, mainly after 24 h of histoculture. Thus, basal and UVB stimulated expression of the cutaneous HPA axis differs as a function of genotype: D2 responds to UVB earlier and with higher amplitude than B6, while B6 shows prolonged (up to 48 h) stress response to a noxious stimulus such as UVB.     

A Patient with Posterior Cortical Atrophy Possesses a Novel Mutation in the Presenilin 1 Gene

Posterior cortical atrophy is a dementia syndrome with symptoms of cortical visual dysfunction, associated with amyloid plaques and neurofibrillary tangles predominantly affecting visual association cortex. Most patients diagnosed with posterior cortical atrophy will finally develop a typical Alzheimer''s disease. However, there are a variety of neuropathological processes, which could lead towards a clinical presentation of posterior cortical atrophy. Mutations in the presenilin 1 gene, affecting the function of γ-secretase, are the most common genetic cause of familial, early-onset Alzheimer''s disease. Here we present a patient with a clinical diagnosis of posterior cortical atrophy who harbors a novel Presenilin 1 mutation (I211M). In silico analysis predicts that the mutation could influence the interaction between presenilin 1 and presenilin1 enhancer-2 protein, a protein partner within the γ-secretase complex. These findings along with published literature support the inclusion of posterior cortical atrophy on the Alzheimer''s disease spectrum.     

The Analysis of Receptor-binding Cancer Antigen Expressed on SiSo Cells (RCAS1) immunoreactivity within the microenvironment of the ovarian cancer lesion relative to the applied therapeutic strategy

RCAS1 is involved in generating the suppressive profile of the tumor microenvironment that helps cancer cells evade immune surveillance. The status of the cells surrounding the cancer nest may affect both the progression of the cancer and the development of metastases. In cases of ovarian cancer, a large number of patients do not respond to the applied therapy. The patient’s response to the applied therapy is directly linked to the status of the tumor microenvironment and the intensity of its suppressive profile. We analyzed the immunoreactivity of RCAS1 on the cells present in the ovarian cancer microenvironment in patients with the disease; these cells included macrophages and carcinoma-associated fibroblasts. Later we analyzed the immunoreactivity levels within these cells, taking into consideration the clinical stage of the cancer and the therapeutic strategy applied, such as the number of chemotherapy regiments, primary cytoreductive surgery, or the presence of advanced ascites. In the patients who did not respond to the therapy we observed significantly higher immunoreactivity levels of RCAS1 within the cancer nest than in those patients who did respond; moreover, in the non-responsive patients we found RCAS1 within both macrophages and carcinoma-associated fibroblasts. RCAS1 staining may provide information about the intensity of the immuno-suppressive microenvironment profile found in cases of ovarian cancer and its intensity may directly relate to the clinical outcome of the disease.     

Application of modern tests for stationarity to single-trial MEG data

Stationarity is a crucial yet rarely questioned assumption in the analysis of time series of magneto- (MEG) or electroencephalography (EEG). One key drawback of the commonly used tests for stationarity of encephalographic time series is the fact that conclusions on stationarity are only indirectly inferred either from the Gaussianity (e.g. the Shapiro-Wilk test or Kolmogorov-Smirnov test) or the randomness of the time series and the absence of trend using very simple time-series models (e.g. the sign and trend tests by Bendat and Piersol). We present a novel approach to the analysis of the stationarity of MEG and EEG time series by applying modern statistical methods which were specifically developed in econometrics to verify the hypothesis that a time series is stationary. We report our findings of the application of three different tests of stationarity--the Kwiatkowski-Phillips-Schmidt-Schin (KPSS) test for trend or mean stationarity, the Phillips-Perron (PP) test for the presence of a unit root and the White test for homoscedasticity--on an illustrative set of MEG data. For five stimulation sessions, we found already for short epochs of duration of 250 and 500 ms that, although the majority of the studied epochs of single MEG trials were usually mean-stationary (KPSS test and PP test), they were classified as nonstationary due to their heteroscedasticity (White test). We also observed that the presence of external auditory stimulation did not significantly affect the findings regarding the stationarity of the data. We conclude that the combination of these tests allows a refined analysis of the stationarity of MEG and EEG time series.     

Chronic Inflammation Permanently Reshapes Tissue-Resident Immunity in Celiac Disease

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The Formation of Sugar Chains in Triterpenoid Saponins and Glycoalkaloids

Triterpenoid saponins and structurally related steroidal glycoalkaloids are a large and diverse family of plant glycosides. The importance of these compounds for chemical protection of plants against microbial pathogens and/or herbivores is now well-documented. Moreover, these compounds have a variety of commercial applications, e.g. as drugs or raw materials for pharmaceutical industry. Until recently there were only sparse data on the biosynthesis of saponins and glycoalkaloids, especially at the enzyme level. Substantial progress has recently been made, however, in our understanding of biosynthetic routes leading to the formation of the diverse array of aglycone skeletons found in these compounds as well as mechanisms of synthesis of their sugar moieties. This review highlights some of the advances made over past two decades in our understanding of the formation and modification of sugar moieties in triterpenoid saponins and glycoalkaloids.