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Cytokine patterns in anti-viral disease vaccines: a knowledge driven approach








Cytokine patterns in anti-viral disease vaccines: a knowledge driven approach


Atul J. Butte, MD, PhD


Stanford University
Stanford, CA
USA


This research will be funded by National Institute of Allergy and Infectious Diseases, Division of Allergy, Immunology and Transplantation, contract HSN272201200028C


None


14 May 2015


Cytokines, key regulators of the immune system, play a central role in both health and disease. These small proteins are secreted from a variety of cell types including, but not limited to, immune cell types and are involved in many biological processes. Cytokines have been implicated both as possible diagnostics markers and therapeutics targets. For example, Interleukin 18 (IL-18) has been identified as an early diagnostic marker for acute kidney injury (Parikh, Abraham et al. 2005) while Tumor Necrosis Factor alpha (TNF-a) is a therapeutic target for rheumatoid arthritis (Feldmann 2002). Another important aspect of immunity in health and disease involves different immune cell types such as lymphocytes, leukocytes, macrophages, basophiles and eosinophils in fighting infections, inflammatory responses, allergic reactions etc.

The availability of immune-related data is dramatically increasing, making such data an attractive source for systemic research. However, with the rapid growth of biomedical knowledge, integration of different data sources is becoming more crucial. Access to information, analysis of data, and integration of knowledge are key components of biomedical research. Scientists now must be able to integrate their data with other data, to combine information from multiple sources, and to compare their results to prior knowledge.

To date, integrated immune-related data, such as text-mined cytokine-disease relationships, cytokine level measurements and cell counts, have not been systematically and methodically examined. Examining disease-related cytokine patterns can help gain better insight into disease-related immune characteristics and find immune-related similarities and differences between diseases. As a use case to our knowledge-driven approach, this research aims to elucidate cytokine-related patterns in a verity of different anti-viral vaccines based on open clinical trial data. Using the control and vaccinated arms of several different clinical trials, we aim to identify those vaccine related immune patterns and use them to characterize and compare between the different vaccines against diseases.



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Medicine: Influenza Vaccine, Condition: Influenza, Phase: 2, Clinical Study ID: 110223, Sponsor: GSK" },{ "PostingID": 220, "Title": "GSK-110794", "Description": "Immunogenicity, safety and reactogenicity of GSK Biologicals' influenza vaccine GSK1247446A with various formulations in subjects aged 18-64 years

Medicine: Influenza Vaccine, Condition: Influenza, Phase: 2, Clinical Study ID: 110794, Sponsor: GSK" },{ "PostingID": 1525, "Title": "GSK-109801", "Description": "Complementary testing to further evaluate the immunogenicity of a GSK Biologicals’ HPV vaccine (580299) in healthy female subjects aged over 26 years enrolled in study 104820.

Medicine: Human Papillomavirus Types 16 and 18 Vaccine, Condition: Infections, Papillomavirus, Phase: 3, Clinical Study ID: 109801, Sponsor: GSK" },{ "PostingID": 2167, "Title": "GSK-108251", "Description": "Evaluate immunogenicity & safety of a single or double-dose of the pandemic influenza candidate vaccine (GSK1562902A) given following a two-administration schedule (21 days apart) in adults over 60 yrs

Medicine: H5N1 Pandemic Influenza Vaccine, Condition: Influenza, Phase: 2, Clinical Study ID: 108251, Sponsor: GSK" },{ "PostingID": 2198, "Title": "GSK-107863", "Description": "Evaluation of the safety and immunogenicity of GlaxoSmithKline Biologicals' HPV vaccine 580299 (Cervarix ™) in adult human immunodeficiency virus (HIV) infected female subjects

Medicine: Human Papillomavirus Types 16 and 18 Vaccine, Condition: Infections, Papillomavirus, Phase: 2, Clinical Study ID: 107863, Sponsor: GSK" }]

Statistical Analysis Plan


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