Project

Characterisation and risk stratification of patient subgroups in dilated cardiomyopathy by utilisation of an inflammatory 47-plex-biomarker panel

Project term

11/2021 - 02/2023

Granted budget

€ 40,000

Research resource used

Resource liquid samples/image data

Keywords

Inflammatory biomarker, classification, machine learning, DCM, risk stratification

Principal Investigator

Kristin Lehnert, Sabine Ameling (Greifswald University Medicine and Institute Functional Genomics, Clinic and Polyclinic for Internal Medicine B)

Inflammation plays a role in the development of heart failure and dilated cardiomyopathy and cytokines are involved in these processes.

There is a clinical need to identify specific biomarkers to enhance diagnosis, treatment decisions and risk stratification in patients with dilated cardiomyopathy. Following promising first results using 13 markers in a Greifswald patient cohort we currently perform measurements of 47 cytokines in this group. The DZHK biosamples are needed to gain further insight into inflammation mediation and to identify subgroups with distinct patterns to enhance our knowledge of inflammation processes and to validate our preliminary results.

Publications

There are no publications available yet.