The invention provides therapeutic compositions that present an artificial repertoire of mammalian pattern recognition receptor (PRR) agonists, so that the pattern of PRR agonists recapitulates a distinct portion of a PRR agonist signature of a mammalian pathogen. The artificial repertoire of PRR agonists may be formulated together in a therapeutic vehicle for combined presentation to an innate immune cell resident in a target tissue in a mammalian host, and the vehicle adapted to deliver the PRR agonists to the target tissue, so as to modulate an immune response.

An apparatus for easily and conveniently diagnosing tuberculosis including a blood collecting device is provided. The blood collecting device comprises a support part including a first surface, a second surface formed opposite to the first surface, and a communication hole through which a solution is movable. The communication hole is formed between the first surface and the second surface. A blood collecting tip is attached to the first surface and has a capillary tube connected to the communication hole. According to the present disclosure, a small amount of peripheral blood is collected using a capillary phenomenon and the collected whole blood is used as it is without separating a blood corpuscle therefrom by centrifugation and the like to diagnose tuberculosis.

Antibiotics (Abx) are the worlds most misused drugs. Antibiotics misuse occurs when the drug is administered in case of a non-bacterial infection (such as a viral infection) for which it is ineffective. Overall, it is estimated that 40-70% of the worldwide Abx courses are mis-prescribed. The financial and health consequences of Abx over-prescription include the direct cost of the drugs, as well as the indirect costs of their side effects, which are estimated at >$15 billion annually. Furthermore, over-prescription directly causes the emergence of Abx-resistant strains of bacteria, which are recognized as one of the major threats to public health today. This generates an immediate need for reliable diagnostics to assist physicians in correct Abx prescription, especially at the point-of-care (POC) where most Abx are prescribed. Accordingly, some aspects of the present invention provide methods using biomarkers for rapidly detecting the source of infection and administrating the appropriate treatment.

Described herein are compositions for increasing IL-12 production comprising IgG or a fragment thereof or a variant thereof and uses of said compositions for treating cancer and infectious diseases. Also described herein are compositions for decreasing IL-12 production comprising an agent that inhibits signaling mediated by interaction between FcRn and IgG and uses of said compositions for treating autoimmune diseases. Further described herein are methods for assessing efficacy of treatment by monitoring levels of various cytokines in the subject.

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 disclosure concerns a method of obtaining information about the disease status of an individual by processing input data using a trained machine learning algorithm model to generate an output representing the information. The disclosure also concerns a related computer program, data processing apparatus, and system, as well as a method for training a machine learning algorithm model to generate information about the disease status of an individual. The information may, for example, relate to the presence, absence or type of M. tuberculosis complex infection in the individual.

The present disclosure relates to the identification and use of biomarkers (e.g., analytes, analyte profiles, or markers (e.g., gene expression and/or protein expression profiles)) with clinical relevance to cytokine release syndrome (CRS).

Provided are methods, kits and compositions related to toxicity associated with administration of cell therapy for the treatment of diseases or conditions, e.g., cancer, including methods for use in predicting and treating a toxicity. In some embodiments, the toxicity is a neurotoxicity or cytokine release syndrome (CRS), such as a severe neurotoxicity or a severe CRS. The methods generally involve detecting a parameter of a biomarker or individually a parameter of each biomarker in a panel of biomarkers, such as a concentration, amount or activity, and comparing the detected parameter to a reference value for the parameter to determine if the subject is at risk for developing the toxicity, such as neurotoxicity or CRS or severe neurotoxicity or severe CRS. In some embodiments, the methods further involve administering an agent or therapy for treating, ameliorating, preventing, delaying and/or attenuating the development of the toxicity, such as neurotoxicity or CRS, such as severe neurotoxicity or severe CRS.

The present disclosure relates to an early cancer diagnosis method and a diagnostic kit using interferon gamma gene concentration measurement in exosomes. By using the interferon gamma gene in exosomes according to the present disclosure, it is possible to early diagnose cancer with high accuracy by a non-invasive method using a liquid biopsy such as blood. In addition, according to the present disclosure, it is possible to supplement the problems of existing tests by quickly and accurately screening and detecting high-risk groups of cancer by a non-invasive method.

A method of identifying a subject having cancer who is likely to be responsive to a treatment compound, comprising administering the treatment compound to the subject having the cancer; obtaining a sample from the subject; determining the level of a biomarker in the sample from the subject; and diagnosing the subject as being likely to be responsive to the treatment compound if the level of the biomarker in the sample of the subject changes as compared to a reference level of the biomarker; wherein the treatment compound is Compound 1, Compound 2, or Compound 3.