Novel molecular targets in gastric adenocarcinoma.

Gastric adenocarcinoma (GAC) is the third leading cause of cancer-related death worldwide. A high mortality rate and resistance to treatment protocols due to a heterogeneous molecular pathogenesis has made discovering the key etiologic molecular alterations of the utmost importance. The remarkable role played by epigenetic modifications in repressing or activating many cancer-related genes and forming new epigenetic signatures can affect cancer initiation and progression. Hence, targeting the key epigenetic drivers could potentially attenuate cancer progression. MLLs, ARID1A and EZH2 are among the major epigenetic players that are frequently mutated in GACs. In this paper, we have proposed the existence of a network between these proteins that, together with PCAF and KDM6A, control the 3D chromatin structure and regulate the expression of tumor suppressor genes (TSGs) and oncogenes in GAC. Therefore, we suggest that manipulating the expression of EZH2, PCAF, and KDM6A or their downstream targets may reduce the cancerous phenotype in GAC

Synthesis and biological studies of new quinazolines with ether functions in position 2

International audienc

Strategies for Multiplexed Electrochemical Sensor Development

Detection of multiple biomarkers for disease diagnosis or treatment monitoring has received a lot of attention due to their potential impact on clinical decision making. Electrochemical biosensors have become one of the preferred detection approaches, due to the simplicity of the accompanying instrumentation. This chapter will explore how electrochemical sensors can be utilized for detection of multiple analytes by integration of sensors into microfluidic microsystems. Some key fabrication technologies for such devices will be presented utilizing polymer microfabrication, paper-based approaches, and the use of printed circuit boards. Next, the use of electrode arrays will be presented along with some commercial platforms, outlining plausible paths towards a successful electrochemical multiplexed sensor. Novel approaches based on microbeads and various labels will then be introduced along with various strategies and technologies utilized to achieve ultrasensitive multiplexed detection

Educational intervention for reducing work-related musculoskeletal disorders and promoting productivity

Background and objectives.Work-related musculoskeletal disorders (WMSDs) are the main causes of pain, suffering, absenteeism, disability and reduction in productivity. This research aims to determine the role of training intervention based on protection motivation theory in reducing WMSDs and promoting productivity. Methodology. The conducted study was based on a quasi-experimental design (control) that was carried out on 158 employees of the Kabl Khodro factory which were divided into two groups of 79 people. After splitting the 158 workers, an experimental and control group was formed. The data collection instruments were made up of two questionnaires and were analysed using a quick exposure check (QEC) method. Result.Before intervention in both the experimental and control groups, there were no significant differences among the average protection motivation theory constructs, productivity and QEC scores (p <0.05). However, following training intervention there was a significant increase in these factors within the investigated group apart from the perceived response costs and efficacy. Conclusion. The conducted study shows that ergonomic training based on the protection motivation theory is effective in reducing musculoskeletal risk factors and that increased knowledge of the subject can lead to an increase in productivity. © 2015 Central Institute for Labour Protection-National Research Institute (CIOP-PIB)

Investigating the collection efficiency of ULPA filters for the removal of nano-sized aerosols

Background and aims: With the increasing application of nanotechnology concerns about the negative effects of human exposure and environmental releases of these particles is also doubled. Among the most well-known media, ULPA filters are used to control nanoparticles. In this study, the efficiency and pressure drop of ULPA fiber bed for collection and removal of nanoparticles were investigated. Methods: ULPA filter efficiency and pressure drop was measured by using nano-scale aerosol particle size range 70 -700 nm sucrose at different flow rates 1.58 - 5 cm.s -1. The ULPA filter used had a thickness of 0.4 mm. A cylindrical test system was constructed as a form of stainless steel with a filtration surface of 0.013m2. Desired particles were generated using Electrospray 3480 model particle generator. Condensation particle counter CPC Models 5.410 Gream Company was implemented to measure particle number concentration before and after filter bed and to calculate the performance. Results: Results showed that the maximum amount of substrate permeability of ULPA media (independent of the velocity rate) was for the particles of 100 nm and it was determined as the MPPS in this media. However, data analysis revealed a significant relationship between diameter and efficiency parameters of the MPPS (negative), and the MPPS (positive). Conclusion: The ULPA media used in this study with the MPPS particles of 100 nm can be introduced as a particles control substrate for experimental conditions presented in the study