Temporally Resolved Omics Tracking of ME/CFS

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).
Network Medicine for Disease Mechanisms and Treatment

The goal of this project is to use data integration and network analyses to discover disease mechanisms and potential treatments.
iCPET Omics Studies of ME/CFS

This Harvard study evaluates the different explanations of heart preload failure in ME/CFS patients to determine which is active in many, if not all, ME/CFS patients. The Computation Center is now seeking to better understand the causes of ME/CFS (PLF, the high flow type) as well as to identify potential drug targets for future therapies.
OMF Data Center

The purpose of the OMF Data Center is to house raw data and processed results, which is shared with our research network through the web-based data portal.
Skeletal Muscle Dysfunction

This project aims to explore the biological changes that occur in the muscles during Post-exertional Malaise (PEM).
Red Blood Cell Deformability in ME/CFS (RBC Biomechanics)

The goal of the project is to develop, characterize, and validate a microfluidic chip for the estimation of biomechanical properties of red blood cells (RBCs) isolated from ME/CFS patients vis-à-vis healthy controls.
Genetic and Metabolic Markers of BH4 Deficiency in Long COVID

This project aims to test whether
genetic markers and other indicators of BH4 deficiency are also present in subjects with Long COVID.
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

To 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.
Biological Outlier and Subtyping Software for Myalgic Encephalomyelitis

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.