Biological Outlier and Subtyping Software for ME/CFS (BOSS-ME)
This project will develop a software tool to rapidly look for metabolism anomalies in an individual which might be explained by their genes. It will also look for potentially damaging genes in individuals and it will attempt to group ME/CFS patients based on their genetic and metabolic profiles.
Metabolic Differentiation of ME/CFS and its Comorbidities
This study will investigate the metabolite signatures of ME/CFS patient stool, urine and blood samples and the impact that co-morbidities (IBS and Fibromyalgia) have on these signatures.
Deep Proteome and Metabolome Profiling (DOMINO-ME)
Collaborate with OMF CRCs in Uppsala and Melbourne to establish a global perspective.
Decode the molecular mechanisms underlying ME/CFS and contributing to specific symptoms with a particular emphasis of post-exertional malaise (PEM) through:
Deep phenotyping of ME patients
Global proteomic plasma profiling of ME patients
Global metabolomics plasma profiling of ME patients
Ocular Motor Study for ME/CFS
The aim of this project is to fully characterise eye movement changes in ME/CFS on two consecutive days, identifying an ocular motor signature that is unique to the disorder.
Cellular Nitrogen and Energy Metabolism in ME/CFS
This project aims to test the nitrogen hypothesis, which is that damaging, nitrogen-containing by-products of energy metabolism accumulate more readily in the cells of ME/CFS patients.
Serial Pediatric Omics Tracking for ME/CFS (SPOT-ME)
This study seeks to understand pathological mechanisms of pediatric ME/CFS (13 to 18 years old), using case-control and longitudinal study design that meshes clinical measures and omics methods.