Detection of venous thromboembolism by proteomic serum biomarkers.

ABSTRACT:

Background

Available blood assays for venous thromboembolism (VTE) suffer from diminished specificity. Compared with single marker tests, such as D-dimer, a multi-marker strategy may improve diagnostic ability. We used direct mass spectrometry (MS) analysis of serum from patients with VTE to determine whether protein expression profiles would predict diagnosis.

Methods and results

We developed a direct MS and computational approach to the proteomic analysis of serum. Using this new method, we analyzed serum from inpatients undergoing radiographic evaluation for VTE. In a balanced cohort of 76 patients, a neural network-based prediction model was built using a training subset of the cohort to first identify proteomic patterns of VTE. The proteomic patterns were then validated

SUBMITTER: Ganesh SK 

PROVIDER: S-EPMC1891085 | biostudies-literature | 2007 Jun

REPOSITORIES: biostudies-literature