Role of Prion protein-EGFR multimolecular complex during neuronal differentiation of human dental pulp-derived stem cells

Cellular prion protein (PrPC) is expressed in a wide variety of stem cells in which regulates their self-renewal as well as differentiation potential. In this study we investigated the presence of PrPCin human dental pulp-derived stem cells (hDPSCs) and its role in neuronal differentiation process. We show that hDPSCs expresses early PrPCat low concentration and its expression increases after two weeks of treatment with EGF/bFGF. Then, we analyzed the association of PrPCwith gangliosides and EGF receptor (EGF-R) during neuronal differentiation process. PrPCassociates constitutively with GM2 in control hDPSCs and with GD3 only after neuronal differentiation. Otherwise, EGF-R associates weakly in control hDPSCs and more markedly after neuronal differentiation. To analyze the functional role of PrPCin the signal pathway mediated by EGF/EGF-R, a siRNA PrP was applied to ablate PrPCand its function. The treatment with siRNA PrP significantly prevented Akt and ERK1/2 phosphorylation induced by EGF. Moreover, siRNA PrP treatment significantly prevented neuronal-specific antigens expression induced by EGF/bFGF, indicating that cellular prion protein is essential for EGF/bFGF-induced hDPSCs differentiation. These results suggest that PrPCinteract with EGF-R within lipid rafts, playing a role in the multimolecular signaling complexes involved in hDPSCs neuronal differentiation

Drones and Sensors Ecosystem to Maximise the “Storm Effects” in Case of CBRNe Dispersion in Large Geographic Areas

The advancements in the field of robotics, specifically in the aerial robotics, combined with technological improvements of the capability of drones, have increased dramatically the use of these devices as a valuable tool in a wide range of applications. From civil to commercial and military area, the requirements in the emerging application for monitoring complex scenarios that are potentially dangerous for operators give rise to the need of a more powerful and sophisticated approach. This work aims at proposing the use of swarm drones to increase plume detection, tracking and source declaration for chemical releases. The several advantages which this technology may lead to this research and application fields are investigated, as well as the research and technological activities to be performed to make swarm drones efficient, reliable, and accurate

Development and performance testing of a miniaturized multi-sensor system combining MOX and PID for potential UAV application in TIC, VOC and CWA dispersion scenarios

The development of a tool to reduce the exposure of personnel in case of inten- tional or accidental toxic chemicals dispersion scenarios opens the field to new operational perspectives in the domain of operator safety and of critical infrastructure monitoring. The use of two sensors with different operating principles, metal oxide and photo-ionization detector, allows to confirm the presence of specific classes of chemicals in a contaminated area. All instruments are expected to be integrated into the payload of an unmanned aerial vehicle (UAV) and used for different purposes such as critical infrastructure surveillance focused on the volatile organic chemical and chemical warfare agents (CWA) detection and the post-incident of contamination level monitoring. In this paper, the authors presented the hardware set-up implemented and the test realized with CWAs simulants and will discuss the results obtained presenting advantages and disadvantages of this system in an application such as a UAV for the detection of chemical substances

Design of Miniaturized Sensors for a Mission-Oriented UAV Application: A New Pathway for Early Warning

In recent decades, the increasing threats associated with Chemical and Radiological (CR) agents prompted the development of new tools to detect and collect samples without putting in danger first responders inside contaminated areas. A particularly promising branch of these technological developments relates to the integration of different detectors and sampling systems with Unmanned Aerial Vehicles (UAV). The adoption of this equipment may bring significant benefits for both military and civilian implementations. For instance, instrumented UAVs could be used in support of specialist military teams such as Sampling and Identification of Biological, Chemical and Radiological Agents (SIBCRA) team, tasked to perform sampling in contaminated areas, detecting the presence of CR substances in field and then confirming, collecting and evaluating the effective threats. Furthermore, instrumented UAVs may find dual-use application in the civil world in support of emergency teams during industrial accidents and in the monitoring activities of critical infrastructures. Small size drones equipped with different instruments for detection and collection of samples may enable, indeed, several applications, becoming a tool versatile and easy to use in different fields, and even featuring equipment normally utilized in manual operation. The authors hereby present the design of miniaturized sensors for a mission-oriented UAV application and the preliminary results from an experimental campaign performed in 2020

A low-cost radiation detection system to monitor radioactive environments by unmanned vehicles

AbstractUnconventional scenarios with hazardous radioactive levels are expected as consequences of accidents in the industrial sector of the nuclear energy production or following intentional releases of radioactive materials for terrorist purposes (dirty bombs, indoor contaminations, etc.). Nowadays, the need to balance the high standards of safety and security through an effective detection network is a matter of paramount importance. In this work, the authors' challenge has been to design, realize and test a low-cost gamma detection and spectroscopy system which may be used in unmanned vehicles in general and/or drones with low payload capabilities. The designed platform may be used to carry out mapping or localization operations in order to reduce the risk factor for first responders or for the population affected by radiological and nuclear events. In this paper, the design process of a gamma ray detection and spectroscopy system based on affordable and commercially available technologies is presented along with the results of our ongoing characterization of the prototype

Dose/dense metronomic chemotherapy with fractioned cisplatin and oral daily etoposide enhances the anti-angiogenic effects of bevacizumab and has strong antitumor activity in advanced non-small-cell-lung cancer patients.

Background: We designed a translational clinical trial to investigate whether a dose/dense chemotherapy regimen is able to enhance in patients with non-small-cell-lung-cancer, the anti-angiogenic, and anti-tumor activity of bevacizumab, a murine/human monoclonal antibody to the vasculo-endothelial-growth-factor (VEGF) Patients and Methods: Forty-eight patients (42 males and 6 females) with stage IIIB/IV non-small-cell-lung-cancer, a mean age of 68 years, and ECOG ≤ 2 were enrolled in the study. They received every three weeks fractioned cisplatinum (30 mg/sqm, days 1-3) and oral etoposide (50 mg, days 1-15) and were divided in 5 cohorts receiving different bevacizumab dosages [0; 2.5; 5; 7.5; and 10 mg/kg] on the day 3. Results: The combined treatment was able of inducing a significant decline in the blood-perfusion of primary tumor (NMR-study); in serum levels of VEGF, angiopoietin-1, thrombospondin-1; and in the number of VEGF-transporting cells. In the group of 40 patients who received bevacizumab ther..

Phase II trial of bevacizumab and dose/dense chemotherapy with cisplatin and metronomic daily oral etoposide in advanced non-small-cell-lung cancer patients.

Bevacizumab, is a humanized monoclonal antibody to vasculo-endothelial- growth-factor, with anticancer activity in non-small-cell-lung cancer (NSCLC) patients. Our previous results from a dose/finding phase I trial in NSCLC patients, demonstrated the anti-angiogenic effects and toxicity of a newest bevacizumab-based combination with fractioned cisplatin and daily oral etoposide. We designed a phase II trial to evaluate in advanced NSCLC patients the antitumor activity and the safety of this novel regimen. In particular, 45 patients (36 males and 9 females), with a mean age of 54 years, an ECOG ≤2, stage III B/IV and NSCLC (28 adenocarcinomas, 11 squamous-cell carcinomas, 2 large-cell carcinomas, 4 undifferentiated carcinomas), were enrolled. They received cisplatin (30 mg/sqm, days 1-3), oral etoposide (50 mg, days 1-15) and bevacizumab (5 mg/kg, day 3) every 3 weeks (mPEBev regimen). Patients who achieved an objective response or stable disease received maintenance treatment with bevacizumab in combination with erlotinib until progression. Grade I-II hematological, mucosal toxicity and alopecia were the most common adverse events. The occurrence of infections (17%), thromboembolic events (4.4%) and severe mood depression (6.7%) was also recorded. A partial response was achieved in 31 (68.8%) patients, disease remained stable in 8 (17.8%) and disease progressed in 6 (13.3%) with a progression-free-survival of 9.53 months (95% CI, 7.7-11.46). Our bio-chemotherapy regimen resulted very active in advanced NSCLC, however, the toxicity associated with the treatment requires strict selection of the patients to enroll in future studies. © 2011 Landes Bioscience

Surgeons' perspectives on artificial intelligence to support clinical decision-making in trauma and emergency contexts: results from an international survey

Background Artificial intelligence (AI) is gaining traction in medicine and surgery. AI-based applications can offer tools to examine high-volume data to inform predictive analytics that supports complex decision-making processes. Time-sensitive trauma and emergency contexts are often challenging. The study aims to investigate trauma and emergency surgeons’ knowledge and perception of using AI-based tools in clinical decision-making processes. Methods An online survey grounded on literature regarding AI-enabled surgical decision-making aids was created by a multidisciplinary committee and endorsed by the World Society of Emergency Surgery (WSES). The survey was advertised to 917 WSES members through the society’s website and Twitter profile. Results 650 surgeons from 71 countries in five continents participated in the survey. Results depict the presence of technology enthusiasts and skeptics and surgeons' preference toward more classical decision-making aids like clinical guidelines, traditional training, and the support of their multidisciplinary colleagues. A lack of knowledge about several AI-related aspects emerges and is associated with mistrust. Discussion The trauma and emergency surgical community is divided into those who firmly believe in the potential of AI and those who do not understand or trust AI-enabled surgical decision-making aids. Academic societies and surgical training programs should promote a foundational, working knowledge of clinical AI

Colorectal Cancer Stage at Diagnosis Before vs During the COVID-19 Pandemic in Italy

IMPORTANCE Delays in screening programs and the reluctance of patients to seek medical attention because of the outbreak of SARS-CoV-2 could be associated with the risk of more advanced colorectal cancers at diagnosis. OBJECTIVE To evaluate whether the SARS-CoV-2 pandemic was associated with more advanced oncologic stage and change in clinical presentation for patients with colorectal cancer. DESIGN, SETTING, AND PARTICIPANTS This retrospective, multicenter cohort study included all 17 938 adult patients who underwent surgery for colorectal cancer from March 1, 2020, to December 31, 2021 (pandemic period), and from January 1, 2018, to February 29, 2020 (prepandemic period), in 81 participating centers in Italy, including tertiary centers and community hospitals. Follow-up was 30 days from surgery. EXPOSURES Any type of surgical procedure for colorectal cancer, including explorative surgery, palliative procedures, and atypical or segmental resections. MAIN OUTCOMES AND MEASURES The primary outcome was advanced stage of colorectal cancer at diagnosis. Secondary outcomes were distant metastasis, T4 stage, aggressive biology (defined as cancer with at least 1 of the following characteristics: signet ring cells, mucinous tumor, budding, lymphovascular invasion, perineural invasion, and lymphangitis), stenotic lesion, emergency surgery, and palliative surgery. The independent association between the pandemic period and the outcomes was assessed using multivariate random-effects logistic regression, with hospital as the cluster variable. RESULTS A total of 17 938 patients (10 007 men [55.8%]; mean [SD] age, 70.6 [12.2] years) underwent surgery for colorectal cancer: 7796 (43.5%) during the pandemic period and 10 142 (56.5%) during the prepandemic period. Logistic regression indicated that the pandemic period was significantly associated with an increased rate of advanced-stage colorectal cancer (odds ratio [OR], 1.07; 95%CI, 1.01-1.13; P = .03), aggressive biology (OR, 1.32; 95%CI, 1.15-1.53; P < .001), and stenotic lesions (OR, 1.15; 95%CI, 1.01-1.31; P = .03). CONCLUSIONS AND RELEVANCE This cohort study suggests a significant association between the SARS-CoV-2 pandemic and the risk of a more advanced oncologic stage at diagnosis among patients undergoing surgery for colorectal cancer and might indicate a potential reduction of survival for these patients