Description
ME/CFS is a complex and highly debilitating disease for which there is currently no proven therapy. The options for clinical treatment of patients are currently limited. There are large gaps in knowledge, as hardly any tissue samples from those affected are available and comparisons with defined control groups are difficult to achieve.
The MIRACLE research network aims to investigate immunological, inflammatory and metabolic signaling pathways in ME/CFS. After recruitment using web-based questionnaires and online video consultations, which are also intended to include seriously ill patients, various aspects of the signaling pathways will be investigated in more detail. Various processes of high-density lipoprotein (HDL) and the role of granulocytes in ME/CFS patients will be investigated. A comprehensive analysis of the collected data will be carried out using artificial intelligence (AI) and modern statistical methods to search for patterns for biomarkers and patient clusters in the complex data sets.
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.
(Description adapted from research network website: see link above)