Tethys Bioscience, Inc.

True Health IP LLC

Health Diagnostic Laboratory, Inc.

Health Diagnostics Laboratory, Inc.

Michael P McKenna

Michael S Urdea

Patrick A Arensdorf

Mickey S Urdea

Steve M Watkins

Robert W Gerwien

Michael Rowe

Scott Eastman

Edward J Moler, Jr

The invention relates to biomarkers associated with Diabetes, including protein and lipid metabolite biomarkers, methods of using the biomarkers to determine the risk that an individual will develop Diabetes, and methods of screening a population to identify persons at risk for developing Diabetes and other pre-diabetic conditions.

Protein and lipid biomarkers providing consistent improvement to the prediction of Type 2 diabetes

A method of determining risk of diabetes is provided. In one embodiment, the method comprises: a) measuring the levels of a plurality of biomarkers in a blood samples obtained from a patient, wherein the plurality of biomarkers comprises at least five of the following biomarkers: glucose, adiponectin, CRP, IL2RA, ferritin, insulin and HbAIc; b) calculating a diabetes risk score for the patients using the levels and, optionally, patient age and/or gender. Results obtained from performing the assay on a reference population are similar or identical to those obtained using Formula I.

Method for determining risk of diabetes

Disclosed are methods of identifying subjects with arteriovascular disease, subjects at risk for developing arteriovascular disease, methods of differentially diagnosing diseases associated with arteriovascular disease from other diseases or within sub-classifications of arteriovascular disease, methods of evaluating the risk of arteriovascular events in patients with arteriovascular disease, methods of evaluating the effectiveness of treatments in subjects with arteriovascular disease, and methods of selecting therapies for treating arteriovascular disease.

Markers associated with arteriovascular events and methods of use thereof

Protein and lipid biomarkers providing consistent improvement to the prediction of type 2 diabetes

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.

Diabetes-related biomarkers and methods of use thereof

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 &#x3bc;L or less of a legacy clinical sample.

Systems and methods for developing diagnostic tests based on biomarker information from legacy clinical sample sets

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.

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Oakland, CA, United States of America

Michael P McKenna