Clinic, HDL proteome, and AI

Project description

The MIRACLE research newtwork investigates immunological, inflammatory and metabolic signaling pathways of ME/CFS. The long-term goal of this study is to uncover the causes of the disease ME/CFS and to identify clusters and biomarkers that can be used to diagnose and treat ME/CFS.

Within the cooperation between the University Hospital of Marburg (UKGM) and the University Hospital of Regensburg, a total of 200 patients with ME/CFS and 200 healthy subjects as controls are being examined. The initial data collection and recruitment takes place via a web-based questionnaire and an online video consultation. Patients with very severe ME/CFS who are unable to attend an outpatient appointment are initially offered an online appointment and, if possible, they are visited at home so that this previously rarely considered patient group can also be included. A comprehensive data analysis is carried out using artificial intelligence (AI) and modern statistical methods to search for patterns for biomarkers and patient clusters in the complex data sets.

At the University Hospital Regensburg Department of Anaesthesiology, detailed analyses are carried out to determine the inflammatory profile of neutrophil granulocytes as a critical part of the immunological defense system. This includes, among other things, the analysis of the behavior of neutrophil granulocytes, such as migration, production of reactive oxygen species, DNA network formation and lytic protein release.

(Description adapted from project website: see link above)