Abstract: The invention describes biomarkers which can be used to predict the likelihood that an individual will develop Diabetes. The biomarkers can also be used to screen large groups in order to identify individuals at risk of developing Diabetes.

Abstract: Disclosed are systems and methods for developing diagnostic tests (e.g., detection, screening, monitoring, and prognostic tests) based on biomarker information from legacy clinical sample sets, for which only small sample volumes (e.g., about 0.05 to about 1.0 mL or less per sample) are typically available. For example, biomarkers (e.g., about 10, 50, 100, 150, 200, 300, or more) may be detected in the clinical samples through the use of single molecule detection and each biomarker may be detected in an assay that includes about 1 ?L or less of a legacy clinical sample.

Abstract: Disclosed are systems and methods for developing diagnostic tests (e.g., detection, screening, monitoring, and prognostic tests) based on biomarker information from legacy clinical sample sets, for which only small sample volumes (e.g., about 0.05 to about 1.0 mL or less per sample) are typically available. For example, biomarkers (e.g., about 10, 50, 100, 150, 200, 300, or more) may be detected in the clinical samples through the use of single molecule detection and each biomarker may be detected in an assay that includes about 1 ?L or less of a legacy clinical sample.

Abstract: The invention describes biomarkers which can be used to predict the likelihood that an individual will develop Diabetes. The biomarkers can also be used to screen large groups in order to identify individuals at risk of developing Diabetes.

Abstract: The invention provides methods, compositions, and kits for multiplex fractionation of proteins in a sample. Protein-binding molecules, such as small epitope antibodies or small epitope aptamers, are used for multiplex fractionation of proteins in a protein containing sample. Detection of fractionated proteins may be used for characterization of proteins in a sample in applications such as expression profiling, identification and/or quantification of proteins in a sample, and identification or detection of biomarkers.

Abstract: Novel methods for assessing the state of a diabetic condition of a subject are described, comprising determining the amount of a metabolite in a sample from a body fluid or tissue of the subject. The methods may be used, for example, in diagnosing and monitoring insulin resistance, prediabetes, or the response to a drug which alters a diabetic condition.

Abstract: The invention describes biomarkers which can be used to predict the likelihood that an individual will develop Diabetes. The biomarkers can also be used to screen large groups in order to identify individuals at risk of developing Diabetes.

Abstract: The invention describes biomarkers which can be used to predict the likelihood that an individual will develop Diabetes. The biomarkers can also be used to screen large groups in order to identify individuals at risk of developing Diabetes.

Abstract: Disclosed are methods of identifying subjects with Diabetes or a pre-diabetic condition, methods of identifying subjects at risk for developing Diabetes or a pre-diabetic condition, methods of differentially diagnosing diseases associated with Diabetes or a pre-diabetic condition from other diseases or within sub-classifications of Diabetes, methods of evaluating the risk of progression to Diabetes or a pre-diabetic condition in patients, methods of evaluating the effectiveness of treatments in subjects with Diabetes or a pre-diabetic condition, and methods of selecting therapies for treating Diabetes or a pre-diabetic condition, using biomarkers.

Abstract: The present invention relates generally to methods for reducing the complexity of a sample. More specifically, the present invention relates to proteomics, the measurement of the protein levels in biological samples, and analysis of proteins in a sample using antibodies that recognize small epitopes.