Solve M.E. Researcher Toolkit

Emily Taylor

Senior Member (Voting Rights)
Happy Monday everyone –




If you have any researchers, academics, or scientists in your networks – please share this ME/CFS Researcher Toolkit just produced from the SMCI Science and Discovery team.




https://solvecfs.org/wp-content/uploads/2019/04/Toolkit-2019-Final.pdf




Also, just a reminder that this year’s EXPANDED Ramsay Award program is now accepting applications!




https://solvecfs.org/applying-for-an-award/


Deadline is June 30th!




Many thanks,





Emily Taylor

Director of Advocacy and Community Relations


Solve ME/CFS Initiative

p: 704-364-0016 ext. 209

w: www.SolveCFS.org



Donate to Solve ME/CFS Initiative



Working to make ME/CFS widely understood, diagnosable, and treatable
 
For clarity, it's a toolkit to assist anybody applying for a Ramsay Award grant.

Great to see
A well-designed study will require the presence of post-exertional malaise (PEM) in determining a case of ME/CFS.

and
Approaches to research that could move the needle

• Studies designed to interrogate post-exertional malaise (PEM), the cardinal symptom of ME/CFS

• Studies aimed at identifying subgroups • Provocation (exercise protocol) studies. Results from a recent research provide strong evidence that an exercise protocol has more value than measurements taken at rest to determine biological differences in ME/CFS

• Longitudinal characterization of the disease. Moving away from cross-sectional studies to the collection of information at multiple time points

• Include disease controls along with healthy controls. Comparison with related diseases (e.g. multiple sclerosis, Gulf War Illness, fibromyalgia) will clarify biological differences that are unique to ME/CFS pathophysiology, assisting in refining diagnostic criteria and developing targeted therapeutics

• Cross-disciplinary research that can dig into the multiple systems indicated in the disease

• Stratification analyses by age, sex, severity, duration, type of onset/triggering event, symptoms, comorbid conditions, functional status

• Utilizing high-powered methodologies, including multi-omics and machine-learning approaches, and novel techniques, like examining exosomes
 
Back
Top Bottom