Comparison of Genotoxic Damage in Monolayer Cell Cultures and Three-Dimensional Tissue-Like Cell Assemblies

Assessing the biological risks associated with exposure to the high-energy charged particles encountered in space is essential for the success of long-term space exploration. Although prokaryotic and eukaryotic cell models developed in our laboratory and others have advanced our understanding of many aspects of genotoxicity, in vitro models are needed to assess the risk to humans from space radiation insults. Such models must be representative of the cellular interactions present in tissues and capable of quantifying I genotoxic damage. Toward this overall goal, the objectives of this study were to examine the effect of the localized microenvironment of cells, cultured as either 2-dimensional (2D) monolayers or 3-dimensional (3D) aggregates, on the rate and type of genotoxic damage resulting from exposure to iron charged particles, a significant portion of space radiation. We used rodent transgenic cell lines containing 50-70 copies of a LacI transgene to provide the enhanced sensitivity required to quantify mutational frequency and type in the 1,100-bp LacI target as well as assessment of DNA,damage to the entire 45-kbp construct. Cultured cells were exposed to high-ener~ir on charged particles at Brookhaven National Laboratory s Alternating Gradient Synchrotron facility for a total dose of 0, 0.1, 0.25,0.5, 1.0, or 2.0 Gy and allowed to recover for 0, 1, or 7 days, after which mutational type and frequency were evaluated. The mutational frequency was found to be higher in 3D samples than in 2D samples at all radiation doses. Mutational frequency also was higher at 7 days after irradiation than immediately after exposure. DNA sequencing of the mutant targets revealed that deletional mutations contributed an increasingly high percentage (up to 27%) of all mutations in cells as the dose was increased from 0.5 to 2 Gy. Several mutants also showed large and complex deletions in multiple locations within the Lac1 target. However, no differences in mutational type were found between the 2D and the 3D samples. These 3D tissue-like model systems can reduce the uncertainty involved in extrapolating risk between in vitro cellular and in vivo models

Creating Improved Communication Between Nursing and Physicians: Importance of Collaboration within a Hospital System

Background: Optimal communication between all members of the healthcare team is important to ensure safe and efficient patient care.Objective: To improve communication between nurses and resident physicians by developing and implementing a paging protocol.Methods: A resident-led workgroup was assembled to identify opportunities for improving communication. A survey was designed to assess current practices and perceptions related to resident and nurse communication. A facilitated focus group of residents and nurses met on two separate occasions to review the survey results and develop a set of mutually agreeable paging guidelines. The group chose to adopt the ISBARR communication tool and planned educational interventions accordingly. Residents and nurses were resurveyed roughly three months’ post-intervention.Results: The results indicated a 12.8% reduction (p=0.017) in the percentage of nurse respondents that “never” inquire whether or not another nurse on the unit needs to speak with the same physician prior to paging. A 10.3% increase (p=0.033) in resident respondents that “usually” receive grouped pages, and an 11% reduction (p=0.042) in the percentage of resident respondents that “never: receive grouped pages. However, only 53.3% (n=60) of nurse respondents and 44.1% (n=68) of resident respondents felt their ISBARR training was adequate. Moreover, only 38.4% and 30.9% of nurse and resident respondents, respectively felt the paging guidelines and ISBARR had improved overall communications between the two groups.Conclusions: While the follow-up survey results revealed some improvements in paging practices, the need for continued education was clear

Status of Advanced UT Systems for the Nuclear Industry

An advanced ultrasonic testing (UT) system is a configuration of hardware that includes some type of computer. The computer may be hardwired to perform specific functions or have appropriate software. It may typically be used for data acquisition, signal processing, image generation, pattern recognition and data analysis. Additionally, advanced systems have data storage and are, therefore, different from the standard transducer-pulser/receiver systems that rely on human filtering and written documentation of the filtered data.</p

Fatigue characteristics and modeling of cast and cast-forged ZK60 magnesium alloy

The final publication is available at Elsevier via https://dx.doi.org/10.1016/j.ijfatigue.2018.03.019 © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/The fatigue behavior of as-cast and cast-forged ZK60 magnesium alloy was investigated via fully-reversed strain controlled fatigue tests at different strain amplitudes. Microstructure analysis, texture measurement, and SEM fracture surface characterization were performed to discern the reason of fatigue behavior improvement via forging, and also to explain the mechanism underlying crack initiation in both cast and cast-forged conditions. It was perceived that the forged alloy contains less amount of porosities and second phase particles in its microstructure. In general, the forged alloy showed longer fatigue life for all strain amplitudes, especially when the strain amplitude is lower than 0.4%. The forging process increased the fatigue strength at 107 cycles from 0.175% to 0.22% strain amplitude. The microstructure obtained after fatigue test showed that twinning can be activated in the cast-forged alloy, once strain amplitude is higher than 0.4%. The interaction of twin bands with the grain boundaries can also adversely affect the fatigue life of the forged alloy. Also, the residual twins can develop tensile mean stress which affects the fatigue life negatively. Finally, the Coffin-Manson fatigue model and an energy-based fatigue model were employed to model the life of as-cast and cast-forged materials. While some of the predicted lives by the former were out of the ±2× boundary bounds, the latter’s results were tightly clustered in ±1.5× bounds.Natural Sciences and Engineering Research Council of CanadaAutomotive Partnership Canada ["APCPJ 459269-13"

Multiphase modelling of tumour growth and extracellular matrix interaction: mathematical tools and applications

Resorting to a multiphase modelling framework, tumours are described here as a mixture of tumour and host cells within a porous structure constituted by a remodelling extracellular matrix (ECM), which is wet by a physiological extracellular fluid. The model presented in this article focuses mainly on the description of mechanical interactions of the growing tumour with the host tissue, their influence on tumour growth, and the attachment/detachment mechanisms between cells and ECM. Starting from some recent experimental evidences, we propose to describe the interaction forces involving the extracellular matrix via some concepts coming from viscoplasticity. We then apply the model to the description of the growth of tumour cords and the formation of fibrosis

Effect of the irrigation regime on the susceptibility of pepper and tomato to post-harvest proliferation of Salmonella enterica

Raw produce is increasingly recognized as a vehicle of human gastroenteritis. Non-typhoidal Salmonella, pathogenic Escherichia coli, and other human pathogens have been isolated from fruits and vegetables in the field and in the marketplace, which led to the hypothesis that these microbes can use plants as alternate hosts. However, environmental and physiological factors that facilitate persistence of these bacteria in the crop production environment and make produce more vulnerable to post-harvest contamination have not been fully delineated. This study tested the effect of irrigation regimes on the susceptibility of peppers and tomatoes to post-harvest proliferation of Salmonella. The experiments were carried out over three experimental seasons in two locations using seven strains of Salmonella. The irrigation regime per se did not affect susceptibility of tomatoes and peppers to post-harvest proliferation of Salmonella; however, in some of the seasons, irrigation regime-dependent differences were observed. Red peppers and tomatoes were more conducive to proliferation of Salmonella than green fruit in all seasons. Inter-seasonal differences were the strongest factors affecting proliferation of Salmonella in peppers

Developing One Health surveillance systems.

Abstract: The health of humans, domestic and wild animals, plants, and the environment are inter-dependent. Global anthropogenic change is a key driver of disease emergence and spread and leads to biodiversity loss and ecosystem function degradation, which are themselves drivers of disease emergence. Pathogen spill-over events and subsequent disease outbreaks, including pandemics, in humans, animals and plants may arise when factors driving disease emergence and spread converge. One Health is an integrated approach that aims to sustainably balance and optimize human, animal and ecosystem health. Conventional disease surveillance has been siloed by sectors, with separate systems addressing the health of humans, domestic animals, cultivated plants, wildlife and the environment. One Health surveillance should include integrated surveillance for known and unknown pathogens, but combined with this more traditional disease-based surveillance, it also must include surveillance of drivers of disease emergence to improve prevention and mitigation of spill-over events. Here, we outline such an approach, including the characteristics and components required to overcome barriers and to optimize an integrated One Health surveillance system

Developing One Health surveillance systems

The health of humans, domestic and wild animals, plants, and the environment are inter-dependent. Global anthropogenic change is a key driver of disease emergence and spread and leads to biodiversity loss and ecosystem function degradation, which are themselves drivers of disease emergence. Pathogen spill-over events and subsequent disease outbreaks, including pandemics, in humans, animals and plants may arise when factors driving disease emergence and spread converge. One Health is an integrated approach that aims to sustainably balance and optimize human, animal and ecosystem health. Conventional disease surveillance has been siloed by sectors, with separate systems addressing the health of humans, domestic animals, cultivated plants, wildlife and the environment. One Health surveillance should include integrated surveillance for known and unknown pathogens, but combined with this more traditional disease-based surveillance, it also must include surveillance of drivers of disease emergence to improve prevention and mitigation of spill-over events. Here, we outline such an approach, including the characteristics and components required to overcome barriers and to optimize an integrated One Health surveillance system.</p

Developing One Health surveillance systems

The health of humans, domestic and wild animals, plants, and the environment are inter-dependent. Global anthropogenic change is a key driver of disease emergence and spread and leads to biodiversity loss and ecosystem function degradation, which are themselves drivers of disease emergence. Pathogen spill-over events and subsequent disease outbreaks, including pandemics, in humans, animals and plants may arise when factors driving disease emergence and spread converge. One Health is an integrated approach that aims to sustainably balance and optimize human, animal and ecosystem health. Conventional disease surveillance has been siloed by sectors, with separate systems addressing the health of humans, domestic animals, cultivated plants, wildlife and the environment. One Health surveillance should include integrated surveillance for known and unknown pathogens, but combined with this more traditional disease-based surveillance, it also must include surveillance of drivers of disease emergence to improve prevention and mitigation of spill-over events. Here, we outline such an approach, including the characteristics and components required to overcome barriers and to optimize an integrated One Health surveillance system