• Computer Science, Medicine
• Published in BioData Mining 2012
• DOI:10.1186/1756-0381-6-2

Identification of new biomarker candidates for glucocorticoid induced insulin resistance using literature mining

@inproceedings{Fleuren2012IdentificationON,
  title={Identification of new biomarker candidates for glucocorticoid induced insulin resistance using literature mining},
  author={Wilco W. M. Fleuren and Erik J. M. Toonen and Stefan Verhoeven and Raoul Frijters and Tim Hulsen and Ton Rullmann and Ren{\'e} C. van Schaik and Jacob de Vlieg and Wynand Alkema},
  booktitle={BioData Mining},
  year={2012}
}

• Wilco W. M. Fleuren, Erik J. M. Toonen, +6 authors Wynand Alkema

BackgroundGlucocorticoids are potent anti-inflammatory agents used for the treatment of diseases such as rheumatoid arthritis, asthma, inflammatory bowel disease and psoriasis. Unfortunately, usage is limited because of metabolic side-effects, e.g. insulin resistance, glucose intolerance and diabetes. To gain more insight into the mechanisms behind glucocorticoid induced insulin resistance, it is important to understand which genes play a role in the development of insulin resistance and which… CONTINUE READING

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