Identifying immune modulating patterns across diseases from open clinical trial data

Identifying immune modulating patterns across diseases from open clinical trial data

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

Potential conflicts of interest will be disclosed when the research is presented and published.

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.

Examining disease-related immune patterns, such as cytokine levels and immune cell counts, can help gain better insight into disease-related immune characteristics and find immune-related similarities and differences between diseases. This research aims to elucidate immune-related patterns in a verity of different disease based on open clinical trial data. Furthermore, these patterns will be used to validate the accuracy of an immune-related dataset that was created by mining the medical literature. Using the placebo, untreated and control arms of several different clinical trials, we aim to identify those disease related immune patterns such as the variability in different cell types that are routinely measured in standard blood tests and mechanistic assays. These immune patterns will then be used to compare between different diseases and to compare it to similar patterns, which were mined from biomedical texts.

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The publication citation plan will be added after the research is published.