DNA damage induced by 7,12-dimethylbenz[a]anthracene in the liver and the mammary gland of rats exposed to polycyclic aromatic hydrocarbon enzyme inducers during perinatal life

The long-lasting modulating effect induced by the prenatal or neonatal exposure to phenobarbital (PB) and aroclor on the genotoxic activity of 7,12-dimethylbenz[a]anthracene (DMBA) in female Sprague-Dawley rats was studied. The effect was measured as DNA damage evaluated in the liver and in the mammary gland of 55-day-old animals, 4 and 24 h after an i.g. injection of 80 mg/kg of DMBA. PB was given per os, i.g. or in drinking water to pregnant females and by i.g. only to neonates or in adult progeny. Aroclor was injected i.g. in prenatal and in neonatal life, and a second dose was given in adult life. Under these experimental conditions it was shown that DNA damage kinetics caused by DMBA are modulated by exposure to PB and, to a minor extent, by aroclor. The amount and persistence of DNA damage were highest when PB was administered to neonates. An average 2-fold increase in the elution constants (K) of DNA in the liver and the mammary gland was observed 4 h after DMBA treatment, as compared to uninduced animals. Repeated enzyme induction by PB seems to reduce DMBA genotoxicity, as shown by a decrease in DNA damage and persistence in the liver and mammary gland. The inducibility of the monooxygenase enzyme system in perinatal life favouring metabolic activation of inactivation of polycyclic aromatic hydrocarbons might be critical in determining individual susceptibility of adult progeny to chemical carcinogenesis by DMB

Micro-beam and pulsed laser beam techniques for the micro-fabrication of diamond surface and bulk structures

Micro-fabrication in diamond is involved in a wide set of emerging technologies, exploiting the exceptional characteristics of diamond for application in bio-physics, photonics, radiation detection. Micro ion-beam irradiation and pulsed laser irradiation are complementary techniques, which permit the implementation of complex geometries, by modification and functionalization of surface and/or bulk material, modifying the optical, electrical and mechanical characteristics of the material. In this article we summarize the work done in Florence (Italy) concerning ion beam and pulsed laser beam micro-fabrication in diamond.Comment: 14 pages, 5 figure

How to move around and where to settle: environmental determinants of spatial behaviour in reintroduced lions (Panthera leo)

Session - Predation and Predators: Predator reintroduction in small enclosed reserves and associated prey responsespostprin

Cardoon meal as alternative protein source to soybean meal for limousine bulls fattening period: Effects on growth performances and meat quality traits

SIMPLE SUMMARY: Beef cattle feeding strategies are commonly based on soybean meal utilization as a fundamental protein source. This feed, though, might have negative environmental impacts on the major areas of production and is becoming very expensive. Cardoon (Cynara cardunculus L.) is a resilient crop which represents a good opportunity in reclaiming and remediating unutilized lands. Cardoon seeds are rich in oil, which is extracted for industrial purposes, and the related by-products (press cake and meal) are characterized by high protein content and essential fatty acids. The aim of this study was to evaluate cardoon meal as a protein source during the Limousine bulls’ fattening period, in order to study a suitable alternative to develop and create low-input and low-emission feeding strategies. The results obtained in terms of growth performances showed no statistical difference between bulls fed the by control diet (containing soybean meal as main protein source) and animals fed by the experimental diet, where soybean meal was partially replaced by one containing cardoon meal. Meat quality traits were measured, and no differences between the groups were found. Hence, these by-products could be considered as a valuable solution in Limousine bulls’ fattening periods and could be used to represent a key factor to improve cattle-feeding sustainability. ABSTRACT: Soybean meal is the most important protein source in beef cattle feeding. The research of alternative protein sources to replace soy use, avoiding negative effects on in vivo performance and on the product’s quality, is an important issue. In this context, cardoon represents a non-OGM resilient crop that can be cultivated in marginal lands for extracting its seed oil (utilized for biodiesel and biodegradable bioplastic production) and whose and the residual meal from its seed oil (utilized for biodiesel and biodegradable bioplastic production) could be a suitable by-product for animal feeding, due to its fairly high protein content. The aim of this study was to evaluate the feasibility of using cardoon meal as an innovative protein source during the Limousine bulls’ fattening period. Thirty-two bulls were divided into two groups and fed with a diet containing soybean meal (SG) or partially replacing soybean meal with cardoon meal as a protein source (CG), respectively. The feeding trial lasted about 11 months. Growth performances and meat physical–chemical traits were evaluated. No statistical differences in feed efficiency, average daily gain, or in the main meat quality indicators, as well as in fatty acid profiles were found among the groups. Therefore, cardoon meal could be considered as an alternative to soybean meal in fattening Limousine bulls in order to enhance the sustainability of the farming system

Deep-Manager: a versatile tool for optimal feature selection in live-cell imaging analysis

One of the major problems in bioimaging, often highly underestimated, is whether features extracted for a discrimination or regression task will remain valid for a broader set of similar experiments or in the presence of unpredictable perturbations during the image acquisition process. Such an issue is even more important when it is addressed in the context of deep learning features due to the lack of a priori known relationship between the black-box descriptors (deep features) and the phenotypic properties of the biological entities under study. In this regard, the widespread use of descriptors, such as those coming from pre-trained Convolutional Neural Networks (CNNs), is hindered by the fact that they are devoid of apparent physical meaning and strongly subjected to unspecific biases, i.e., features that do not depend on the cell phenotypes, but rather on acquisition artifacts, such as brightness or texture changes, focus shifts, autofluorescence or photobleaching. The proposed Deep-Manager software platform offers the possibility to efficiently select those features having lower sensitivity to unspecific disturbances and, at the same time, a high discriminating power. Deep-Manager can be used in the context of both handcrafted and deep features. The unprecedented performances of the method are proven using five different case studies, ranging from selecting handcrafted green fluorescence protein intensity features in chemotherapy-related breast cancer cell death investigation to addressing problems related to the context of Deep Transfer Learning. Deep-Manager, freely available at https://github.com/BEEuniroma2/Deep-Manager, is suitable for use in many fields of bioimaging and is conceived to be constantly upgraded with novel image acquisition perturbations and modalities

On the Factors that May Have Influenced the Esca Epidemic in the Eighties in Tuscany

Tuscany is one of the viticultural regions in Italy most severely affected by esca. The epidemic started in 1986, and at the time it was explained as being caused by the great frost that hit Tuscany and many other parts of Italy the year before. Now, several years later, with a clearer understanding of the disease in the light of more recent research, we re-examined the cause of the epidemic and ask which factors could have been more likely explanations of that epidemic – factors such as the chemicals then used to control other vine diseases in Italy (active ingredients, dosages, times of application), or, contemporary, methods to produce propagation material, changes in cultural practices, or the rootstock that were then used in new vineyards and so on. We found little evidence that there was a direct correlation between the cold damage suffered in 1985 and the increase in esca disease later. We suggest that contributing factors causing the epidemic included the selective activity of fungicides used in the vineyard, which may have led to a build-up of inoculum of the fungi causing esca, and poor quality planting material arising from large scale propagation, resulting in vines more susceptible to weak pathogens such as Phaeomoniella chlamydospora

A new generation of orthodontic retainer using 3D printing technology: report of two cases

Aim In this article the fabrication and use of new type 3D printed splint of retainer after orthodontic treatments is reported. Case report Two cases, one of an adoescent female patient and the other of an adult female, are presented, describing step-by-step the clinical and laboratory procedures. The controls after 6 months are also reported. Conclusion Further randomized clinical trials are required in order to evaluate durability and efficacy and periodontal parameters in patients treated with this new type of retainer

Black pine (Pinus nigra) barks: A critical evaluation of some sampling and analysis parameters for mercury biomonitoring purposes

Abstract Tree barks are increasingly used as biomonitors of airborne pollutants. However, many authors stress the poor comparability of the results achieved in different studies. This drawback is mainly caused by a poor understanding of the critical sampling parameters to be considered. To minimize the biases that could be introduced during sampling, in this study the barks of Pinus nigra J.F. Arnold from thirteen sites were investigated in the abandoned Mt. Amiata mercury (Hg) mining district (Southern Tuscany, Italy) and surroundings. The influence of some sampling and analyzing parameters on Hg content was critically assessed. At each site, a total of eight bark samples were taken from a single tree at two heights (70 cm and 150 cm from soil) and at four different sides of the trunk, corresponding to the four cardinal directions; a composite soil sample was also collected. Mercury contents in barks range from 0.1 to 28.8 mg/kg, and are correlated with soil Hg contents (1–480 mg/kg), indicating that barks record both gaseous Hg concentrations in air, and wind-transported Hg-bearing particulate. For each tree, samples at 70 cm and 150 cm show Hg contents of the same order of magnitude, even if values for 150 cm are slightly less dispersed, possibly because barks at 70 cm are more influenced by random soil particles. There is no statistically significant dependence of Hg content on direction and tree age. Simulated rain events cause a negligible loss of Hg from barks. Results suggest that a convenient sampling practice for Pinus nigra is to collect a bark slice (typically 1–2 mm) within the outermost 1.5 cm layer