Multiple biomarkers of sepsis identified by novel time-lapse proteomics of patient serum.

ABSTRACT: Serum components of sepsis patients vary with the severity of infection, the resulting inflammatory response, per individual, and even over time. Tracking these changes is crucial in properly treating sepsis. Hence, several blood-derived biomarkers have been studied for their potential in assessing sepsis severity. However, the classical approach of selecting individual biomarkers is problematic in terms of accuracy and efficiency. We therefore present a novel approach for detecting biomarkers using longitudinal proteomics data. This does not require a predetermined set of proteins and can therefore reveal previously unknown related proteins. Our approach involves examining changes over time of both protein abundance and post-translational modifications in serum, using two-dimensional gel

SUBMITTER: Hayashi N 

PROVIDER: S-EPMC6768476 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature