Nitrolinoleate inhibits superoxide generation, degranulation, and integrin expression by human neutrophils: novel antiinflammatory properties of nitric oxide-derived reactive species in vascular cells

Nitration of unsaturated fatty acids such as linoleate by NO-derived reactive species forms novel derivatives (including nitrolinoleate [LNO2]) that can stimulate smooth muscle relaxation and block platelet activation by either NO/cGMP or cAMP-dependent mechanisms. Here, LNO2 was observed to inhibit human neutrophil function. LNO2, but not linoleic acid or the nitrated amino acid 3-nitrotyrosine, dose-dependently (0.2 to 1 µmol/L) inhibited superoxide (O2·-) generation, Ca2+ influx, elastase release, and CD11b expression in response to either phorbol 12-myristate 13-acetate or N-formyl-Met-Leu-Phe. LNO2 did not elevate cGMP, and inhibition of guanylate cyclase by 1H-[1,2,4]oxadiazole[4,3-a]quinoxalin-1-one did not restore neutrophil responses, ruling out a role for NO. In contrast, LNO2 caused elevations in intracellular cAMP in the presence and absence of phosphodiesterase inhibition, suggesting activation of adenylate cyclase. Compared with phorbol 12-myristate 13-acetate–activated neutrophils, N-formyl-Met-Leu-Phe–activated neutrophils were more susceptible to the inhibitory effects of LNO2, indicating that LNO2 may inhibit signaling both upstream and downstream of protein kinase C. These data suggest novel signaling actions for LNO2 in mediating its potent inhibitory actions. Thus, nitration of lipids by NO-derived reactive species yields products with antiinflammatory properties, revealing a novel mechanism by which NO-derived nitrated biomolecules can influence the progression of vascular disease

A primary care, multi-disciplinary disease management program for opioid-treated patients with chronic non-cancer pain and a high burden of psychiatric comorbidity

BACKGROUND: Chronic non-cancer pain is a common problem that is often accompanied by psychiatric comorbidity and disability. The effectiveness of a multi-disciplinary pain management program was tested in a 3 month before and after trial. METHODS: Providers in an academic general medicine clinic referred patients with chronic non-cancer pain for participation in a program that combined the skills of internists, clinical pharmacists, and a psychiatrist. Patients were either receiving opioids or being considered for opioid therapy. The intervention consisted of structured clinical assessments, monthly follow-up, pain contracts, medication titration, and psychiatric consultation. Pain, mood, and function were assessed at baseline and 3 months using the Brief Pain Inventory (BPI), the Center for Epidemiological Studies-Depression Scale scale (CESD) and the Pain Disability Index (PDI). Patients were monitored for substance misuse. RESULTS: Eighty-five patients were enrolled. Mean age was 51 years, 60% were male, 78% were Caucasian, and 93% were receiving opioids. Baseline average pain was 6.5 on an 11 point scale. The average CESD score was 24.0, and the mean PDI score was 47.0. Sixty-three patients (73%) completed 3 month follow-up. Fifteen withdrew from the program after identification of substance misuse. Among those completing 3 month follow-up, the average pain score improved to 5.5 (p = 0.003). The mean PDI score improved to 39.3 (p < 0.001). Mean CESD score was reduced to 18.0 (p < 0.001), and the proportion of depressed patients fell from 79% to 54% (p = 0.003). Substance misuse was identified in 27 patients (32%). CONCLUSIONS: A primary care disease management program improved pain, depression, and disability scores over three months in a cohort of opioid-treated patients with chronic non-cancer pain. Substance misuse and depression were common, and many patients who had substance misuse identified left the program when they were no longer prescribed opioids. Effective care of patients with chronic pain should include rigorous assessment and treatment of these comorbid disorders and intensive efforts to insure follow up

Knowledge and awareness about breast cancer and its early symptoms among medical and non-medical students of southern Punjab, Pakistan

Breast cancer is the leading cause of morbidity and mortality globally but has an even more significant impact in developing countries. Pakistan has the highest prevalence among Asian countries. A general lack of public awareness regarding the disease often results in late diagnosis and poor treatment outcomes. The literacy rate of the Southern Punjab (Pakistan) is low compared to its Northern part. It is therefore vital that university students and especially medical students develop a sound knowledge about the disease so that they can spread awareness to others who may be less educated. This study therefore considers current knowledge and understanding about the early signs of breast cancer amongst a study group of medical and non-medical university students of the Southern Punjab, Pakistan. A cross-sectional descriptive analysis of the university students was carried out using a self-administered questionnaire to assess their awareness of breast cancer from March to May 2014. A total of 566 students participated in this study, out of which 326 were non-medical and 240 were from a medical discipline. Statistical analysis was carried out using Graph Pad Prism Version 5 with a significance level set at p<0.05. The mean age of the non medical and medical participants was 23 (SD 2.1) and 22 (SD 1.3) years, respectively. Less than 35% students were aware of the early warning signs of the breast cancer development. Knowledge of medical students about risk factors was significantly better than the non medical ones, but on the whole was insufficient. Our study indicated that knowledge regarding breast cancer was generally insufficient amongst the majority of the university students (75% non-medical and 55% medical) of Southern Punjab, Pakistan. This study highlights the need to formulate an awareness campaign and to organize conferences to promote breast cancer awareness among students in this region. </p

Knowledge and awareness about breast cancer and its early symptoms among medical and non-medical students of southern Punjab, Pakistan

Breast cancer is the leading cause of morbidity and mortality globally but has an even more significant impact in developing countries. Pakistan has the highest prevalence among Asian countries. A general lack of public awareness regarding the disease often results in late diagnosis and poor treatment outcomes. The literacy rate of the Southern Punjab (Pakistan) is low compared to its Northern part. It is therefore vital that university students and especially medical students develop a sound knowledge about the disease so that they can spread awareness to others who may be less educated. This study therefore considers current knowledge and understanding about the early signs of breast cancer amongst a study group of medical and non-medical university students of the Southern Punjab, Pakistan. A cross-sectional descriptive analysis of the university students was carried out using a self-administered questionnaire to assess their awareness of breast cancer from March to May 2014. A total of 566 students participated in this study, out of which 326 were non-medical and 240 were from a medical discipline. Statistical analysis was carried out using Graph Pad Prism Version 5 with a significance level set at p&lt;0.05. The mean age of the non medical and medical participants was 23 (SD 2.1) and 22 (SD 1.3) years, respectively. Less than 35% students were aware of the early warning signs of the breast cancer development. Knowledge of medical students about risk factors was significantly better than the non medical ones, but on the whole was insufficient. Our study indicated that knowledge regarding breast cancer was generally insufficient amongst the majority of the university students (75% non-medical and 55% medical) of Southern Punjab, Pakistan. This study highlights the need to formulate an awareness campaign and to organize conferences to promote breast cancer awareness among students in this region. </p

A multi-agent framework for cloud-based management of collaborative robots

This paper presents a cloud-based multi-agent architecture for the intelligent management of aerial robots in a disaster response situation. In a disaster scenario, a team of highly maneuverable quadcopters is deployed to carry out surveillance and decision support in disaster-affected areas. In Pakistan, such events usually result from sudden unpredictable calamities such as earthquakes. The aim of this work is to develop a robust mechanism to autonomously manage and react to sensory inputs received in soft real time from an unstructured environment. The immediate goal is to locate the maximum number of trapped, injured people within a large area, and help first responders to plan rescue activities accordingly. To evaluate the proposed framework, a number of simulations are carried out using GAMA platform to emulate a disaster environment. Subsequently, algorithms are developed to tuned survey an affected geographical area through the use of small flight drones in a timely manner. The key challenges in this work are related to the combination of the domains of multi-agent technology, robotics and cloud computing for effectively bridging the cyber world with the physical world. Therefore, the proposed work demonstrate the effective use of a limited number of drones to capture inputs from a disaster situation in the physical world; and such inputs are used for timely planning of rescue efforts. The results of fixed resource assignment is compared with proposed reactive assignment strategy and it clearly shows a significant improvement in terms resource usage compared to traditional approach

Health-e-Child: a grid platform for european paediatrics

The Health-e-Child (HeC) project [1], [2] is an EC Framework Programme 6 Integrated Project that aims to develop a grid-based integrated healthcare platform for paediatrics. Using this platform biomedical informaticians will integrate heterogeneous data and perform epidemiological studies across Europe. The resulting Grid enabled biomedical information platform will be supported by robust search, optimization and matching techniques for information collected in hospitals across Europe. In particular, paediatricians will be provided with decision support, knowledge discovery and disease modelling applications that will access data in hospitals in the UK, Italy and France, integrated via the Grid. For economy of scale, reusability, extensibility, and maintainability, HeC is being developed on top of an EGEE/gLite [3] based infrastructure that provides all the common data and computation management services required by the applications. This paper discusses some of the major challenges in bio-medical data integration and indicates how these will be resolved in the HeC system. HeC is presented as an example of how computer science (and, in particular Grid infrastructures) originating from high energy physics can be adapted for use by biomedical informaticians to deliver tangible real-world benefits