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Alterations in the intestinal microbiota have been associated to disease pathogenesis in ulcerative colitis. Refractory disease to standard medical therapy as corticosteroids often leads to an unfavourable course in patients suffering from this disorder. This study proposal aims at investigating changes in the intestinal microbiota that can predict a therapy refractory course of ulcerative colitis (UC) and may be used to identify high risk patients in an early phase of their disease.
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The Investigators suggest that certain alterations in the intestinal microbiota are at least in part responsible for the inability of some patients to response to steroid therapy and probably also for the failure to other immunosuppressive therapies. Certain pathobionts have the capability to stimulate the mucosal immune system, thereby leading to chronic inflammation. On the other hand, commensals are necessary for repair processes in the mucosa and are providing metabolites that are used as an energy source for the colonic epithelium. An increase in pathobionts in combination with a lack of certain commensals might therefore maintain colonic inflammation despite immunosuppressive therapy with systemic steroids in patients with UC.
The investigators therefore plan to investigate the intestinal microbiota in UC patients before and 4 weeks after a systemic corticosteroid therapy and correlate potential alterations of the microbiota to the therapeutic response. Other factors like concomitant UC treatment, disease severity, disease extent and environmental factors will also be correlated to changes in the microbiota.
In the subgroup of patients not responding to steroids and requiring a rescue therapy with infliximab or a calcineurin Inhibitor, the predictive value of microbiota alterations will also be investigated.
If certain bacterial taxa can predict a steroid refractory and an unfavorable disease course, the results of this study will help in identifying possible microbiota based biomarkers for an individualized treatment approach in UC patients in the future.
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Data sourced from clinicaltrials.gov
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