Abstract:
In some aspects, the present invention provides methods for predicting whether a subject will develop autoantibodies to an anti-TNFα drug during the course of anti- TNFα drug therapy. In other aspects, the present invention provides methods for predicting the level of an anti-TNFα drug in a subject during the course of anti-TNFα drug therapy. Systems for predicting anti-TNFα drug levels and the likelihood of autoantibody formation during the course of anti-TNFα drug therapy are also provided herein. The present invention further provides methods for predicting a clinical outcome (e.g., endoscopic response) of a subject on anti-TNFα drug therapy.
Abstract:
The present disclosure provides methods for assessing mucosal healing in a patient with Crohn's Disease. The methods include detecting expression levels of analytes in a serum sample from a patient, and applying a mathematical algorithm to the expression levels, thereby producing a Mucosal Healing Index score for the patient. The present disclosure also provides kits that include two or more binding partners, each or which is capable of binding a different analyte measured in the disclosed mucosal healing assessment methods.
Abstract:
The present invention provides methods for predicting whether an individual having inflammatory bowel disease (IBD) is likely to respond to vedolizumab treatment. Also provided are methods for predicting whether an individual with IBD such as Crohn's disease or ulcerative colitis will develop autoantibodies against vedolizumab. The present invention also provides a treatment regimen for an IBD patient which includes measuring the level of one or more predictive markers of response to vedolizumab prior to administering the anti-α4β7 integrin drug.