The present disclosure relates to biomarker profiles and their use to predict a subject's response to an immunomodulatory treatment. Biomarkers in these profiles include cytokines and other proteins associated with the interleukin 1 family and the type 1 interferon family. Particular biomarkers include interleukin (IL)-2, soluble IL-2 receptor alpha (sIL-2RA), IL-5, IL-6, IL-9, IL-10, IL-18, IL-18 binding protein (IL-18BP), IL-18 receptor 1 (IL-18R1), IL-18 receptor accessory protein (IL-18RAP), IL-22, C-type lectin-like receptor (CD161), CD56, interferon gamma (IFN), granulocyte macrophage colony stimulating factor (GM-CSF), serum amyloid A (SAA), and C-reactive protein (CRP). Particular biomarkers also include populations of cells including CD161+ cells and CD56+dim cells. The biomarker profiles can be used to predict a subject's responsiveness to an immunomodulatory treatment (e.g., immunotherapy) before or after an immunomodulatory treatment has initiated and to direct treatment to yield responsive and non-toxic outcomes to the immunomodulatory treatment.

Methods for selecting and treating patients with active Systemic Lupus Erythematosus (SLE) that are predicted to have an increased likelihood of having a positive response to a treatment with a safe and effective amount of an anti-IL-12/IL-23p40 antibody or an anti-IL-23 antibody, e.g., informs on what patients to treat with the anti-IL-12/IL-23p40 antibody ustekinumab.

The subject matter disclosed herein is generally directed to stratifying and treating coronavirus infections based on intrinsic immune states.

The present invention provides novel processes, compositions, and methods for analyzing or assaying the potency and/or functionality of tumor infiltrating lymphocyte (TIL) products for use in therapy, including human cancer therapy, and analyzing or assaying the potency and/or functionality of other polyclonal products, such as marrow infiltrating lymphocyte (MIL) and peripheral blood lymphocyte (PBL) products. Compositions, methods, and kits for preparing and treating cancer using TIL, MIL, and PBL products are also provided.

Methods of diagnosing infections are disclosed. In one embodiment, the method comprises measuring the amount of each of the polypeptides TRAIL, CRP, IP10 and at least one additional polypeptide selected from the group consisting of IL-6 and PCT.

The invention relates to biomarkers and a method of diagnosing or monitoring depression, anxiety disorder or other psychotic disorder.

Methods of diagnosing infections are disclosed. In one embodiment, the method comprises measuring the amount of each of the polypeptides TRAIL, CRP, IP10 and at least one additional polypeptide selected from the group consisting of IL-6 and PCT.

The subject matter disclosed herein is generally directed to stratifying and treating coronavirus infections based on intrinsic immune states.

Provided herein, in some embodiments, are methods of using certain cereblon-associated proteins, such as Aiolos, Ikaros, interferon (IFN), and IFN pathway proteins, casein kinase 1, alpha 1 (CSNK1A1), and ZFP9, as biomarkers for use in predicting and monitoring clinical sensitivity and therapeutic response to certain compounds in patients having various diseases and disorders, such as cancers (e.g., diffuse large B-cell lymphoma (DLBCL), multiple myeloma (MM), myelodysplasia syndromes (MDS) and acute myeloid leukemia (AML)) and IFN-associated disorders. Also provided herein, in certain embodiments, are methods of determining the efficacy of an immunomodulatory compound.

The present invention includes methods, systems, and kits, for identifying and modifying the treatment of a systemic lupus erythematosus (SLE) patient prior to the presence of autoantibodies, comprising: (a) obtaining a dataset representing protein expression level values for cytokines and molecules; (b) assessing the dataset for protein expression levels of at least one innate serum mediator; (c) assessing the dataset for protein expression levels of at least one adaptive serum mediator; and (d) determining the likelihood that the patient will develop SLE prior to the onset of autoantibodies when compared to a control.