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.

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.

Single Day Longitudinal Study

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.

Deep Proteome and Metabolome Profiling

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

Condensed precision research protocol for ME/CFS

Establish a condensed personalized research protocol that can be used to characterize ME/CFS in individual patients as it pertains to all their unique biological aspects of their self, interacting with a complex chronic disease.

Developing Rapid System for Outlier Analysis in ME/CFS

Establish an analytical workflow for outlier analysis in ME/CFS to identify disease or symptom exacerbators that may not be considered in the individual with ME/CFS (including gene mutations, elevated toxins) and then develop a software program to rapidly identify these potential anomalies.