Project Details
Description
Myalgic Encephalomyelitis / Chronic Fatigue Syndrome (ME/CFS) is a multi-factorial disorder with many potential triggers. The infectious origin hypothesis has gained importance after increasing numbers of SARS-CoV-2 infected patients started developing ME/CFS-like symptoms, which are now called long COVID. Autoimmunity is implicated as an important clinical feature of both ME/CFS and long COVID. Recent pre-prints from two independent labs show the development of ME/CFS-like clinical features in mice after passive transfer of immunoglobulins from patients. Our own work, funded by ME Research UK and Gordon Parish Charitable Trust, convincingly shows IgG from ME/CFS patients induce mitochondrial dysfunction in primary endothelial cells. However, one of the major bottlenecks of current methodologies is to assign a functional and molecular relevance of autoimmunity to the development and progression of the disease. The current proposal uses systems biology and a cross-disciplinary approach in single-cells to 3D tissue organoids to identify and characterize functional cell- and tissue-specific targets of immunoglobulins associated with ME/CFS that will help us develop different therapeutic intervention strategies. Therefore, the proposed study aims to –
1. apply IgG fractions isolated from ME/CFS patients and healthy controls to primary cells and 3D tissue organoids to understand short-term and long-term cellular responses to IgG at the RNA level. and
2. identify interacting cellular proteins of IgG derived from ME/CFS patients.
1. apply IgG fractions isolated from ME/CFS patients and healthy controls to primary cells and 3D tissue organoids to understand short-term and long-term cellular responses to IgG at the RNA level. and
2. identify interacting cellular proteins of IgG derived from ME/CFS patients.
| Status | Active |
|---|---|
| Effective start/end date | 1/08/25 → 31/07/27 |
Keywords
- ME/CFS
- autoimmunity
- IgG
- mitochondrial dysfunction
- single-cell RNA-seq
- organoids
Field of Science
- 1.6 Biological sciences
Smart Specialization Area
- Biomedicine, medical technologies and biotechnology
Research economic activity type
- Non-economic activity
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