Single Day Longitudinal Study

This study seeks to understand the biological mechanisms driving the symptomatology of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) using metabolomic and lipidomic high-throughput analysis and high-frequency blood sampling over a 6.5 to 7.5 hour period conducted at two separate sites (Melbourne and Uppsala)
Metabolic Differentiation of ME/CFS Comorbidities IBS and Fibromyalgia

This study will investigate the metabolite signatures of ME/CFS patient stool, urine and blood samples and the impact that comorbidities (IBS and Fibromyalgia) have on these signatures.
Itaconate Trap Study

This project aims to look at metabolic traps in central carbon metabolism that lead to observed altered energy production pathways in ME/CFS.
BOSS-ME: Biological Outlier and Subtyping Software for ME/CFS

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.
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.
Ocular Motor Study
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.
SPOT ME: Serial Pediatric Omics Tracking for ME/CFS

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.
RAman SPectrometry Based biomarkER discoveRY for Myalgic Encephalomyelitis (RASPBERRY-ME)

The overarching goal of RASPBERRY-ME project is the characterization of the biomolecular signature of Myalgic Encephalomyelitis using Label-free Raman Spectroscopy (RS) and machine learning models.
Study of COVID-19 survivors’ profiles for detection of ME/CFS (SCOPIMED)

The purpose of this study is to capture a post-COVID-19 infected population willing to participate in phenotyping studies early in the post-COVID-19 illness progression, with an aim of providing targeted effective therapies and preventing the onset and progression of ME/CFS.
Multi-Omics Study of ME/CFS (MAESTRO)

The primary goal of this project is to complete our comprehensive analysis of the genome, methylome, miRnome, and their interactions in order to fill the gaps in our understanding of ME/CFS pathophysiology and to identify clinically useful biomarkers.