Abstract: A method of diagnosing a patient showing symptoms of acute myocardial infarction that includes obtaining a plasma sample from a patient, performing a differential scanning calorimetry test on the sample to produce a thermogram, comparing the thermogram to reference thermograms, and determining if the patient has thrombotic myocardial infarction, non-thrombotic myocardial injury, or stable coronary artery disease. A method of diagnosing and treating a patient showing signs and/or symptoms of acute myocardial infarction that includes obtaining a plasma sample from a patient; performing a differential scanning calorimetry test on the sample to produce a thermogram; comparing the thermogram to reference thermograms; determining if the patient has thrombotic myocardial infarction, non-thrombotic myocardial injury, or stable coronary artery disease; and administering a treatment to the patient based on the thermogram.

Abstract: A method of diagnosing a patient showing symptoms of acute myocardial infarction includes obtaining a plasma sample from a patient, performing a differential scanning calorimetry test on the sample to produce a thermogram, comparing the thermogram to reference thermograms, and determining if the patient has thrombotic myocardial infarction, non-thrombotic myocardial injury, or stable coronary artery disease.

Abstract: A differential scanning calorimetry sensor, comprises a substrate; a heater trace comprising a conductive material, on the substrate; an encapsulation layer, on the substrate and on the heater trace; and a sample heating area, which is on the heater trace. The heater trace has a thickness of 50 to 1000 nm, a width of 1 to 100 pm, and a path length of 5 to 500 mm. Also described are a sample holder, a sensor enclosure and a thermal analysis sensor system.

Abstract: Provided are methods of characterizing and/or predicting risk associated with a biological sample using thermal stability profiles. The methods include obtaining a thermal stability profile of the sample, using a sensor which detects heat capacity values, applying a classification algorithm to the thermal stability profile, and comparing the results thermal stability data in the database to characterize and/or predict risk of the condition. The methods may additionally include a classification algorithm selected from one or more of logistic regression, support vector machines, Fisher's linear discriminant analysis, modified version of Fisher's linear discriminant analysis (MLDA), and partial least squares.

Abstract: Disclosed herein in various embodiments are systems and methods for categorizing biological fluids obtained from subjects into one or more disease or treatment categories. Embodiments of the systems and methods may transform easily obtainable body fluids such as blood, plasma, spinal fluid, and other fluids into signature differential scanning calorimetry (DSC) thermograms that may be used to distinguish a positive or negative correlation with a specific inflammatory disease, such as an autoimmune disease. Also disclosed are methods of detecting, diagnosing, and/or monitoring an inflammatory disease in a subject.

Abstract: The presently-disclosed subject matter includes methods and systems for identifying biomarkers of interest, diagnosing and/or monitoring conditions of interest, assessing the efficacy of a treatment program, and composition screening. Exemplary methods include providing a sample of interest, fractionating the sample, generating thermograms, and comparing thermograms.

Abstract: A method of diagnosing or monitoring a condition of interest in a subject includes comparing thermograms generated using differential scanning calorimetery. A signature thermogram contains a protein composition pattern for a sample obtained from the subject. The signature thermogram is compared to a standard thermogram. Standard thermograms can include a negative standard thermogram containing a protein composition pattern associated with an absence of the condition of interest, and a positive standard thermogram containing a protein composition pattern associated with a presence of the condition of interest.