Abstract: Provided are methods, systems, and kits for selecting a patient for treatment with a therapeutic agent based on a presence of a genotype associated with a positive therapeutic response to the therapeutic agent. The therapeutic agent, in some embodiments, is an inhibitor of TL1A activity or expression, such as for example, an anti-TL1A antibody.

Abstract: A Provided herein are methods and compositions for patient selection and therapies targeting TL1A. In particular, provided is a method of treating moderate to severely active Crohn's disease (CD) or ulcerative colitis (UC) in a subject, the method comprising: administering a therapeutically effective amount of an inhibitor of Tumor necrosis factor-like cytokine 1A (TL1A) activity or expression to a subject with moderately to severely active CD or UC that has been determined have a polygenetic risk score (PRS) in the 75th percentile, which is indicative of high fold-change of TL1A expression relative to a cut-off fold-change value. Calculating a PRS comprises providing genomic data comprising one or more genotypes (e.g. rs11221332, rs7134599, rs6062496, rs4246905, rs7468800, rs1569328, rs2284553, rs6062504, and rs7556897) of the subject associated with high TL1A fold-change relative to an index or a control.

Abstract: The aspects disclosed herein describe methods of identifying a subject that is non-responsive to anti-TNF therapy. The aspects disclosed herein further provide for a method of selecting a therapy for a subject with Inflammatory Bowel Disease (IBD), and treating the subject with the therapy.

Abstract: The present invention describes a method of prognosing high or low probability of developing an inflammatory bowel disease (IBD) in a subject and a method of diagnosing an inflammatory bowel disease (IBD) in a subject. The invention further provides for a method of identifying genes/genetic loci associated with a disease condition, such as IBD, CD and/or UC.

Abstract: Provided herein are methods and systems for use in identifying a subject with inflammatory bowel disease based on certain criteria, including genetics or serological markers measured in a sample obtained from the subject. Also provided are methods and systems for treatment of the inflammatory bowel disease in the subject. The systems described herein may include polygenic risk score (PRS), which is useful for determining the relative risk of the subject as compared with a reference population.

Abstract: Provided are methods, systems, and kits for selecting a patient for treatment with a therapeutic agent based on a presence of a genotype associated with a positive therapeutic response to the therapeutic agent. The therapeutic agent, in some embodiments, is an inhibitor of TL1A activity or expression, such as for example, an anti-TL1A antibody.

Abstract: Provided are methods, systems, and kits for selecting a subject for treatment with an inhibitor of Tumor necrosis factor-like cytokine 1A (TL1A) activity or expression based on a presence of one or more genotypes associated with a positive therapeutic response to the inhibitor of TL1A. Also provided are methods, systems and kits for detecting the one or more genotypes described herein.

Abstract: The present disclosure provides methods and systems of identifying a fibrotic disease in a subject using a DeepLearning model. The DeepLearning model may be used to predict, treat, monitor, and/or prevent the fibrotic disease in the subject, as well as to characterize a subtype of the fibrotic disease.

Abstract: The invention relates to methods of treating fibrosis and inflammatory bowel disease. In one embodiment, the present invention treats gut inflammation by administering a therapeutically effective dosage of TL1A inhibitors and/or DR3 inhibitors to an individual. In another embodiment, the present invention provides a method of reversing tissue fibrosis in an individual by inhibiting TL1A-DR3 signaling function.

Abstract: Provided are methods, systems, and kits for selecting a patient for treatment with a therapeutic agent based on a presence of a genotype associated with a positive therapeutic response to the therapeutic agent. The therapeutic agent, in some embodiments, is an inhibitor of TL1A activity or expression, such as for example, an anti-TL1A antibody.

Abstract: The present invention describes a method of prognosing high or low probability of developing an inflammatory bowel disease (IBD) in a subject and a method of diagnosing an inflammatory bowel disease (IBD) in a subject. The invention further provides for a method of identifying genes/genetic loci associated with a disease condition, such as IBD, CD and/or UC.

Abstract: The invention relates to methods of treating fibrosis and inflammatory bowel disease. In one embodiment, the present invention treats gut inflammation by administering a therapeutically effective dosage of TL1A inhibitors and/or DR3 inhibitors to an individual. In another embodiment, the present invention provides a method of reversing tissue fibrosis in an individual by inhibiting TL1A-DR3 signaling function.

Abstract: Described herein are methods, systems, compositions, and kits useful for the diagnosis and/or treatment of inflammatory bowel diseases, including Crohn's disease and ulcerative colitis in a subject, with an antagonist of RIPK2 activity or expression. The present disclosure relates to methods and systems for identifying and stratifying patients suitable for treatment with the antagonist to RIPK2 activity or expression, as described herein.

Abstract: The aspects disclosed herein describe methods of identifying a subject that is non-responsive to anti-TNF therapy. The aspects disclosed herein further provide for a method of selecting a therapy for a subject with Inflammatory Bowel Disease (IBD), and treating the subject with the therapy.

Abstract: The aspects disclosed herein describe methods of identifying a subject that is non-responsive to anti-TNF therapy. The aspects disclosed herein further provide for a method of selecting a therapy for a subject with Inflammatory Bowel Disease (IBD), and treating the subject with the therapy.

Abstract: Provided are methods, systems, and kits for selecting a patient for treatment with a therapeutic agent based on a presence of a genotype associated with a positive therapeutic response to the therapeutic agent. The therapeutic agent, in some embodiments, is an inhibitor of TL1A activity or expression, such as for example, an anti-TL1A antibody.

Abstract: Provided are methods, systems, and kits for selecting a patient for treatment with a therapeutic agent based on a presence of a genotype associated with a positive therapeutic response to the therapeutic agent. The therapeutic agent, in some embodiments, is an inhibitor of TL1A activity or expression, such as for example, an anti-TL1A antibody.

Abstract: The present disclosure describes methods, devices and systems of diagnosing, prognosing, and treating subjects with moderate to severe forms of Crohn's disease (CD) that is characterized by stricturing and internal penetrating disease phenotypes. Also described are methods and kits for characterizing a subtype of CD, and identifying a subject as being suitable for a therapy to treat the CD.

Abstract: The present disclosure provides methods and systems of identifying an inflammatory disease or condition, e.g., an inflammatory bowel disease in a subject using a DeepLearning model. The DeepLearning model may be used to predict, treat, monitor, and/or prevent the inflammatory disease or condition in the subject, as well as to characterize a subtype of the inflammatory disease or condition.

Abstract: The aspects disclosed herein describe methods of identifying a subject that is non-responsive to anti-TNF therapy. The aspects disclosed herein further provide for a method of selecting a therapy for a subject with Inflammatory Bowel Disease (IBD), and treating the subject with the therapy.