Biological Outlier and Subtyping<br> Software for Myalgic Encephalomyelitis

Biological Outlier and Subtyping Software for Myalgic Encephalomyelitis Study AIM 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 […]

Itaconate Trap Study

Itaconate Trap Study Study AIM This project aims to look at metabolic traps in central carbon metabolism that lead to observed altered energy production pathways in ME/CFS. LEAD INVESTIGATORS Christopher Armstrong, PhD Rob Phair, PhD Updates and Potential Constructed the differential equation model for the TCA cycle. Developed the itaconate trap hypothesis. Itaconate cycle is […]

Metabolic Differentiation of ME/CFS Comorbidities

Metabolic Differentiation of ME/CFS Comorbidities Study AIM 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. LEAD INVESTIGATORS Amber Jaa-Kwee Christopher Armstrong, PhD Updates and Potential All samples have been collected and assayed. Currently analyzing data from this study. […]

Single Day Longitudinal Study

Cellular Nitrogen and Energy Metabolism in ME/CFS Study AIM 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. LEAD INVESTIGATORS Christopher Armstrong, Phd Paul Gooley, PhD Daniel Missailidis, PhD Jo Cambridge, PhD Neil McGregor, PhD Updates and Potential […]

Deep Proteome and Metabolome Profiling

Deep Proteome and Metabolome Profiling Study AIM 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 […]

Cellular Nitrogen and Energy Metabolism in ME/CFS

Cellular Nitrogen and Energy Metabolism in ME/CFS Study AIM 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. LEAD INVESTIGATORS Christopher Armstrong, Phd Paul Gooley, PhD Daniel Missailidis, PhD Jo Cambridge, PhD Neil McGregor, PhD Updates and Potential […]

SPOT ME: Serial Pediatric Omics Tracking for ME/CFS

SPOT ME: Serial Pediatric Omics Tracking for ME/CFS STUDY AIM 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. LEAD INVESTIGATORS Christopher Armstrong, PhD Paul Gooley, PhD Adam Scheinberg, MD Sarah Knight, PhD Elisha Josev, PhD […]

Characterizing B cells in ME/CFS

Characterizing B cells in ME/CFS STUDY AIM This study aims to broadly evaluate B cell subsets, metabolism, viability, receptors, and antibodies in people with ME/CFS. LEAD INVESTIGATORS Christopher Armstrong, PhD Paul Gooley, PhD Jo Cambridge, PhD Ben Wendel, PhD UPDATES AND POTENTIAL B cells secrete antibodies and are a major part of the adaptive immune […]

Condensed precision research protocol for ME/CFS

Condensed Precision Research Protocol For ME/CFS PROTOCOL AIM 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. LEAD INVESTIGATORS Christopher Armstrong, PhD Paul Gooley, PhD Neil McGregor, PhD Kathy Huang […]

Developing Rapid System for Outlier Analysis in ME/CFS

Developing Rapid System for Outlier Analysis in ME/CFS PROTOCOL AIM 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. LEAD INVESTIGATORS Christopher […]