Social Networking and Health

The rise of social networking has revolutionised how people communicate on a daily basis. In a world where more people are connecting to the internet, social networking services create an immediate communication link between users. Social networking sites provide multiple services which include emailing, instant messaging, uploading files, gaming and finding friends. Just as social networking has become a more popular method of communication in recent years, the ways in which people look after our health has also changed. People do not just rely singly on medical expert’s views anymore. They actively search for information on their own accord through the internet. Social Networking gives users both the option to gather, provide and comment on information. This research paper looks into if and how social networking can be successfully used within the health arena.</p

Life-threatening mesenchymal hamartoma of the chest wall in a neonate

Mesenchymal hamartomas of the chest wall are unusual tumours diagnosed in neonates. They mostly resolve spontaneously hence conservative management has been advocated. Some compress vital structures in the thoracic cavity or bleed warranting surgical intervention. We present a neonate with mesenchymal hamartoma of the chest wall presenting as unilateral multifocal lesions with life threatening complications. He responded well to surgical intervention and was successfully discharged

Combination treatment with ionising radiation and gefitinib ('Iressa', ZD1839), an epidermal growth factor receptor (EGFR) inhibitor, significantly inhibits bladder cancer cell growth in vitro and in vivo

Purpose: External beam radiotherapy (EBRT) is the principal bladder-preserving monotherapy for muscle-invasive bladder cancer. Seventy percent of muscle-invasive bladder cancers express epidermal growth factor receptor (EGFR), which is associated with poor prognosis. Ionising radiation (IR) stimulates EGFR causing activation of cytoprotective signalling cascades and thus may be an underlying cause of radioresistance in bladder tumours. Materials and methods: We assessed the ability of IR to activate EGFR in bladder cancer cells and the effect of the anti-EGFR therapy, gefitinib on potential radiation-induced activation. Subsequently we assessed the effect of IR on signalling pathways downstream of EGFR. Finally we assessed the activity of gefitinib as a monotherapy, and in combination with IR, using clonogenic assay in vitro, and a murine model in vivo. Results: IR activated EGFR and gefitinib partially inhibited this activation. Radiation-induced activation of EGFR activated the MAPK and Akt pathways. Gefitinib partially inhibited activation of the MAPK pathway but not the Akt pathway. Treatment with combined gefitinib and IR significantly inhibited bladder cancer cell colony formation more than treatment with gefitinib alone (p = 0.001-0.03). J82 xenograft tumours treated with combined gefitinib and IR showed significantly greater growth inhibition than tumours treated with IR alone (p = 0.04). Conclusions: Combining gefitinib and IR results in significantly greater inhibition of invasive bladder cancer cell colony formation in vitro and significantly greater tumour growth inhibition in vivo. Given the high frequency of EGFR expression by bladder tumours and the low toxicity of gefitinib there is justification to translate this work into a clinical trial.Peer-reviewedPublisher Version1721

Four-month moxifloxacin-based regimens for drug-sensitive tuberculosis

Supported by the Global Alliance for TB Drug Development with support from the Bill and Melinda Gates Foundation, the European and Developing Countries Clinical Trials Partnership, U.S. Agency for International Development, U.K. Department for International Development, Directorate General for International Cooperation of the Netherlands, Irish Aid, Australia Department of Foreign Affairs and Trade, and National Institutes of Health, AIDS Clinical Trials Group and by grants from the National Institute of Allergy and Infectious Diseases (NIAID) (UM1AI068634, UM1 AI068636, and UM1AI106701) and by NIAID grants to the University of KwaZulu Natal, South Africa, AIDS Clinical Trials Group (ACTG) site 31422 (1U01AI069469); to the Perinatal HIV Research Unit, Chris Hani Baragwanath Hospital, South Africa, ACTG site 12301 (1U01AI069453); and to the Durban International Clinical Trials Unit, South Africa, ACTG site 11201 (1U01AI069426); Bayer Healthcare for the donation of moxifloxacin; and Sanofi for the donation of rifampin.Background: Early-phase and preclinical studies suggest that moxifloxacin-containing regimens could allow for effective 4-month treatment of uncomplicated, smear-positive pulmonary tuberculosis. Methods: We conducted a randomized, double-blind, placebo-controlled, phase 3 trial to test the noninferiority of two moxifloxacin-containing regimens as compared with a control regimen. One group of patients received isoniazid, rifampin, pyrazinamide, and ethambutol for 8 weeks, followed by 18 weeks of isoniazid and rifampin (control group). In the second group, we replaced ethambutol with moxifloxacin for 17 weeks, followed by 9 weeks of placebo (isoniazid group), and in the third group, we replaced isoniazid with moxifloxacin for 17 weeks, followed by 9 weeks of placebo (ethambutol group). The primary end point was treatment failure or relapse within 18 months after randomization. Results: Of the 1931 patients who underwent randomization, in the per-protocol analysis, a favorable outcome was reported in fewer patients in the isoniazid group (85%) and the ethambutol group (80%) than in the control group (92%), for a difference favoring the control group of 6.1 percentage points (97.5% confidence interval [CI], 1.7 to 10.5) versus the isoniazid group and 11.4 percentage points (97.5% CI, 6.7 to 16.1) versus the ethambutol group. Results were consistent in the modified intention-to-treat analysis and all sensitivity analyses. The hazard ratios for the time to culture negativity in both solid and liquid mediums for the isoniazid and ethambutol groups, as compared with the control group, ranged from 1.17 to 1.25, indicating a shorter duration, with the lower bounds of the 95% confidence intervals exceeding 1.00 in all cases. There was no significant difference in the incidence of grade 3 or 4 adverse events, with events reported in 127 patients (19%) in the isoniazid group, 111 (17%) in the ethambutol group, and 123 (19%) in the control group. Conclusions: The two moxifloxacin-containing regimens produced a more rapid initial decline in bacterial load, as compared with the control group. However, noninferiority for these regimens was not shown, which indicates that shortening treatment to 4 months was not effective in this setting. (Funded by the Global Alliance for TB Drug Development and others; REMoxTB ClinicalTrials.gov number, NCT00864383.)Publisher PDFPeer reviewe

The relative importance of training volume and coach autonomy support for preventing youth swimming attrition

There are hypothesized associations between high training volume in youth sport and negative psychological and behavioral outcomes such as decreased enjoyment, and increased burnout and dropout. Autonomy support, however, is associated with positive motivational and behavioral outcomes. The purpose of this study was to concurrently explore the relationships of training volume and perceived coach autonomy support with enjoyment, commitment, burnout symptoms, and dropout from swimming. Survey data were collected from 265 swimmers (Mage = 13.78 ± 1.60) representing more than 50 clubs across Canada. Their parents provided training volume data. Several months later, at the start of the next swimming season, a follow-up survey identified which swimmers dropped out. Structural equation modeling did not show a significant relationship between training volume and enjoyment, but there was a significant pathway from autonomy support to enjoyment, which predominantly predicted functional commitment. Obligatory and functional commitment differentially predicted burnout and intentions to continue swimming. Swimmers who dropped out had significantly lower training volume, enjoyment, functional commitment, and intentions to continue swimming, and higher sport devaluation, compared to those who continued swimming in the following season. Perceptions of an enjoyable, autonomy-supportive training context in adolescent swimming seem to have greater associations than training volume with several psychological and behavioral outcomes, including burnout symptoms and dropout

PCR and microarray analysis of AmpC and ESBLs producing Pseudomonas aeruginosa isolates from intensive care units

Detection of AmpC and ESBL producing P. aeruginosa by phenotypic methods is challenging, especially in low-income countries such as Pakistan. Therefore, a molecular method was developed for rapid detection of these resistance markers. A total of 303 clinical samples were collected from intensive care units (ICUs) of the Jinnah postgraduate medical centre (JPMC) Karachi, Pakistan. The isolates were identified by traditional and matrix-assisted laser desorption ionization–time-of-flight mass spectrometry (MALDI-TOF-MS). Isolates were phenotypically analyzed for AmpCs and ESBL by D-test and by double disc synergy, respectively. The Check MDR CT103 XL and PCR techniques were used for the detection AmpCs and ESBLs. Out of 303 isolates, 148 (48.8%) were P. aeruginosa. The resistance pattern of P. aeruginosa against piperacillin, cefatizidime and cefepime was 59.4%, 64.8% and 59.4% respectively. More than 60% isolates were resistant to aminoglycosides and ciprofloxacin. All (148) strains were found sensitive to colistin. Phenotypic ESBL prevalence was 8.8% whereas genotypic resistance was 29.1%. bla was the most prevalent ESBL. Although 25.67% of P. aeruginosa isolates were positive phenotypically for AmpC, microarray (Check-MDR) analysis did not detect chromosomally located AmpC in any of the isolates. VE

A prediction of cell differentiation and proliferation within a collagen-glycosaminoglycan scaffold subjected to mechanical strain and perfusive fluid flow.

Mesenchymal stem cell (MSC) differentiation can be influenced by biophysical stimuli imparted by the host scaffold. Yet, causal relationships linking scaffold strain magnitudes and inlet fluid velocities to specific cell responses are thus far underdeveloped. This investigation attempted to simulate cell responses in a collagen-glycosaminoglycan (CG) scaffold within a bioreactor. CG scaffold deformation was simulated using micro-computed tomography (CT) and an in-house finite element solver (FEEBE/linear). Similarly, the internal fluid velocities were simulated using the afore-mentioned microCT dataset with a computational fluid dynamics solver (ANSYS/CFX). From the ensuing cell-level mechanics, albeit octahedral shear strain or fluid velocity, the proliferation and differentiation of the representative cells were predicted from deterministic functions. Cell proliferation patterns concurred with previous experiments. MSC differentiation was dependent on the level of CG scaffold strain and the inlet fluid velocity. Furthermore, MSC differentiation patterns indicated that specific combinations of scaffold strains and inlet fluid flows cause phenotype assemblies dominated by single cell types. Further to typical laboratory procedures, this predictive methodology demonstrated loading-specific differentiation lineages and proliferation patterns. It is hoped these results will enhance in-vitro tissue engineering procedures by providing a platform from which the scaffold loading applications can be tailored to suit the desired tissue

Network Anomaly Classification by Support Vector Classifiers Ensemble and Non-linear Projection Techniques

Network anomaly detection is currently a challenge due to the number of different attacks and the number of potential attackers. Intrusion detection systems aim to detect misuses or network anomalies in order to block ports or connections, whereas firewalls act according to a predefined set of rules. However, detecting the specific anomaly provides valuable information about the attacker that may be used to further protect the system, or to react accordingly. This way, detecting network intrusions is a current challenge due to growth of the Internet and the number of potential intruders. In this paper we present an intrusion detection technique using an ensemble of support vector classifiers and dimensionality reduction techniques to generate a set of discriminant features. The results obtained using the NSL-KDD dataset outperforms previously obtained classification rates