Accelerating Biomarker Discovery Through Electronic Health Records, Automated Biobanking, and Proteomics.

ABSTRACT:

Background

Circulating biomarkers can facilitate diagnosis and risk stratification for complex conditions such as heart failure (HF). Newer molecular platforms can accelerate biomarker discovery, but they require significant resources for data and sample acquisition.

Objectives

The purpose of this study was to test a pragmatic biomarker discovery strategy integrating automated clinical biobanking with proteomics.

Methods

Using the electronic health record, the authors identified patients with and without HF, retrieved their discarded plasma samples, and screened these specimens using a DNA aptamer-based proteomic platform (1,129 proteins). Candidate biomarkers were validated in 3 different prospective cohorts.

Results

In an automated manner, plasma samples from

SUBMITTER: Wells QS 

PROVIDER: S-EPMC6501811 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature