25 research outputs found
Interleukin 6 in autoimmune and inflammatory diseases: a personal memoir
In this review, the author discusses the research that led to the identification and characterization of interleukin 6 (IL-6), including his own experience isolating IL-6, and the roles this cytokine has on autoimmune and inflammatory diseases. The cDNAs encoding B-cell stimulatory factor 2 (BSF-2), interferon (IFN)-β2 and a 26-kDa protein were independently cloned in 1986, which in turn led to the identification of each. To resolve the confusing nomenclature, these identical molecules were named IL-6. Characterization of IL-6 revealed a multifunctional cytokine that is involved in not only immune responses but also hematopoiesis, inflammation, and bone metabolism. Moreover, IL-6 makes significant contributions to such autoimmune and inflammatory diseases as rheumatoid arthritis (RA)
Interleukin 6 in autoimmune and inflammatory diseases: a personal memoir
In this review, the author discusses the research that led to the identification and characterization of interleukin 6 (IL-6), including his own experience isolating IL-6, and the roles this cytokine has on autoimmune and inflammatory diseases. The cDNAs encoding B-cell stimulatory factor 2 (BSF-2), interferon (IFN)-β2 and a 26-kDa protein were independently cloned in 1986, which in turn led to the identification of each. To resolve the confusing nomenclature, these identical molecules were named IL-6. Characterization of IL-6 revealed a multifunctional cytokine that is involved in not only immune responses but also hematopoiesis, inflammation, and bone metabolism. Moreover, IL-6 makes significant contributions to such autoimmune and inflammatory diseases as rheumatoid arthritis (RA)
Optimized Heap Sort Technique (OHS) to Enhance the Performance of the Heap Sort by Using Two-Swap Method
Presentation of Self in E-veryday Life: How People Labelled with Intellectual Disability Manage Identity as They Engage the Blogosphere
Very little is known about the online habits of people labelled with intellectual disability. What little information there is focuses more on demographic descriptors rather than any analyses of issues specific to that group. Hence the vast majority of the literature is firmly focused on more generic issues as they affect the general population. Some very few disability dedicated studies, however, have examined homepages maintained by individuals who live with Down syndrome. Here at least is evidence of a field of inquiry that recognises there may be particular aspects of web based communications that deserve special interest. The dynamics of web based communications are fast moving and the relatively static homepage has subsequently given way to Web 2.0 technologies. Here the recent and exponential increase in the popularity of blogging as a means of mass communication has attracted much comment in both popular and specialist quarters. Its ease of use and near universal availability has prompted massive sociological inquiry. But again the profile of people living with intellectual disability is absent from the debate. Our study reports on a project in which adults with intellectual disability were assisted to access the web in general, and the 'blogosphere' in particular. Our focus is on the means and methods by which the participants were able to manage their off and online identities. We look at the language employed, the layouts used and the way the online messages and postings reflected or distorted the actual lived experiences of these proto-bloggers. Notions of authorship and audience also contribute to the debate as these issues raise questions about sense of self, disability as a cultural construct and our ability to negotiate the increasingly important virtual world of the web
SOURCE: A Registry-Based Prediction Model for Overall Survival in Patients with Metastatic Oesophageal or Gastric Cancer
Prediction models are only sparsely available for metastatic oesophagogastric cancer. Because treatment in this setting is often preference-based, decision-making with the aid of a prediction model is wanted. The aim of this study is to construct a prediction model, called SOURCE, for the overall survival in patients with metastatic oesophagogastric cancer. Data from patients with metastatic oesophageal (n = 8010) or gastric (n = 4763) cancer diagnosed during 2005–2015 were retrieved from the nationwide Netherlands cancer registry. A multivariate Cox regression model was created to predict overall survival for various treatments. Predictor selection was performed via the Akaike Information Criterion and a Delphi consensus among experts in palliative oesophagogastric cancer. Validation was performed according to a temporal internal-external scheme. The predictive quality was assessed with the concordance-index (c-index) and calibration. The model c-indices showed consistent discriminative ability during validation: 0.71 for oesophageal cancer and 0.68 for gastric cancer. The calibration showed an average slope of 1.0 and intercept of 0.0 for both tumour locations, indicating a close agreement between predicted and observed survival. With a fair c-index and good calibration, SOURCE provides a solid foundation for further investigation in clinical practice to determine its added value in shared decision making