Disclosed herein are methods that employ the use of one or more biomarkers for the treatment of SARS-CoV-2 infected individuals (COVID-19 patients). The methods may employ detection and measurement of one or more cytokines, the measurement of which may be used to treat COVID-19 patients with one or more immunomodulatory therapies.

Disclosed are compositions and methods to detect proteins associated with non-coeliac gluten sensitivity (NCGS). Such markers may be useful to allow individuals susceptible to NCGS to manage their food intake to avoid symptoms and further progression of disease.

The present disclosure relates to a method for determining the mortality risk of an infectious inflammatory disease on the basis of the concentrations of tryptophanyl-tRNA synthetase (WARS) and cytokines. The method for determining the mortality risk of the present disclosure can effectively identify patients who are at high risk of mortality due to an infectious inflammatory disease within a short period of time and, as such, can be very helpful for performing timely therapy.

Disclosed herein are methods that employ the use of one or more biomarkers for the treatment of SARS-CoV-2 infected individuals (COVID-19 patients). The methods may employ detection and measurement of one or more cytokines, the measurement of which may be used to treat COVID-19 patients with one or more immunomodulatory therapies.

The disclosure provides biomarker proteins, a change in the concentration or activity level of which are associated with atypical hemolytic uremic syndrome (aHUS) or clinically meaningful treatment of aHUS with a complement inhibitor. Also provided are compositions and methods for interrogating the concentration and/or activity of one or more of the biomarker proteins in a biological fluid. The compositions and methods are useful for, among other things, evaluating risk for developing aHUS, diagnosing aHUS, determining whether a subject is experiencing the first acute presentation of aHUS, monitoring progression or abatement of aHUS, and/or monitoring response to treatment with a complement inhibitor or optimizing such treatment.

Disclosed are compositions and methods to detect proteins associated with non-coeliac gluten sensitivity (NCGS). Such markers may be useful to allow individuals susceptible to NCGS to manage their food intake to avoid symptoms and further progression of disease.

The present disclosure relates to assays, including but not limited to, leukocyte adhesive function assays (LAFA), devices and/or methods of using such assays. The present disclosure also relates to the uses of the disclosed embodiment in diagnostic, analytic and/or prognostic applications, particularly for diagnostic, analytic and/or prognostic applications in relation to diseases associated with abnormal host immune responses.

Provided herein are methods for reducing risk of severe symptoms and outcomes associated with Coronavirus Disease 2019 (COVID-19) and Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection by measuring levels of interleukin 6 (IL-6), IL8, IL22, and serum ferritin in a subject. Also provided are methods for treating a subject exposed to or at elevated risk of expose to SARS-CoV-2 based on levels of IL6, IL8, IL22, and ferritin in the serum of the subject.

The present invention relates to the neurotoxicity that can occur as a side effect of the treatment of cancer patients with redirected T-cell therapies, such as chimeric antigen receptor (CAR) T cell therapies. The present invention provides various methods and compositions useful for treating and/or preventing such neurotoxicity, and/or for determining whether a subject is likely to develop such neurotoxicity, as well as a variety of other methods and compositions relating to the neurotoxicity associated with redirected T-cell therapies.

Methods for predicting the development of sepsis in a subject at risk for developing sepsis are provided. In one method, features in a biomarker profile of the subject are evaluated. The subject is likely to develop sepsis if these features satisfy a particular value set. Methods for predicting the development of a stage of sepsis in a subject at risk for developing a stage of sepsis are provided. In one method, a plurality of features in a biomarker profile of the subject is evaluated. The subject is likely to have the stage of sepsis if these feature values satisfy a particular value set. Methods of diagnosing sepsis in a subject are provided. In one such method, a plurality of features in a biomarker profile of the subject is evaluated. The subject is likely to develop sepsis when the plurality of features satisfies a particular value set.