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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 genes are affected by glucocorticoids.<\/jats:p><jats:p>Medline abstracts contain many studies about insulin resistance and the molecular effects of glucocorticoids and thus are a good resource to study these effects.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>We developed CoPubGene a method to automatically identify gene-disease associations in Medline abstracts. We used this method to create a literature network of genes related to insulin resistance and to evaluate the importance of the genes in this network for glucocorticoid induced metabolic side effects and anti-inflammatory processes.<\/jats:p><jats:p>With this approach we found several genes that already are considered markers of GC induced IR, such as<jats:italic>phosphoenolpyruvate carboxykinase<\/jats:italic>(<jats:italic>PCK<\/jats:italic>) and<jats:italic>glucose<\/jats:italic>-<jats:italic>6<\/jats:italic>-<jats:italic>phosphatase<\/jats:italic>,<jats:italic>catalytic subunit<\/jats:italic>(<jats:italic>G6PC<\/jats:italic>). In addition, we found genes involved in steroid synthesis that have not yet been recognized as mediators of GC induced IR.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>With this approach we are able to construct a robust informative literature network of insulin resistance related genes that gave new insights to better understand the mechanisms behind GC induced IR. The method has been set up in a generic way so it can be applied to a wide variety of disease networks.<\/jats:p><\/jats:sec>","DOI":"10.1186\/1756-0381-6-2","type":"journal-article","created":{"date-parts":[[2013,2,4]],"date-time":"2013-02-04T18:20:03Z","timestamp":1360002003000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Identification of new biomarker candidates for glucocorticoid induced insulin resistance using literature mining"],"prefix":"10.1186","volume":"6","author":[{"given":"Wilco WM","family":"Fleuren","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erik JM","family":"Toonen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefan","family":"Verhoeven","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Raoul","family":"Frijters","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tim","family":"Hulsen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ton","family":"Rullmann","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ren\u00e9","family":"van Schaik","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jacob","family":"de Vlieg","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wynand","family":"Alkema","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2013,2,4]]},"reference":[{"issue":"3","key":"77_CR1","first-page":"232","volume":"5","author":"JQ Del Rosso Do","year":"2006","unstructured":"Del Rosso Do JQ: Combination topical therapy for the treatment of psoriasis. 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