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Analyzing Individual Metabolomics Study (AIMS)- now in the recruitment and funding phase

Science in Service of Humanity (SISOH) is currently in the recruitment and fundraising phase for AIMS. Funding will be through the Gordon Medical Research Center (GMRC), a non-profit funding research in chronic illness. The study is organized in consultation with the Naviaux Lab at UC San Diego. AIMS will be the third metabolomics study looking at how comprehensive metabolomics analysis can be used to evaluate chronic and inflammatory disease, such as CFS/ME, chronic and post-Lyme disease, fibromyalgia, Parkinson’s disease, and mast cell disorders. AIMS builds on previous studies, also conducted in collaboration with Robert Naviaux at UC San Diego, which demonstrated there is a clear metabolomic profile in patients with CFS/ME. We expect testing for AIMS will begin in late 2017.

Science in Service of Humanity

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We have collected 2.68% of our $500,000.00 target for the Analyzing Individual Metabolomics Study (AIMS).

2.68%

We have collected 11.43% of our $500,000.00 target for the General Research Fund.

11.43%
GMRC is a 501-3c tax exempt corporation,
and your donations are tax deductible,
dependent on your individual tax situation. 

 

  Study Published August 2016 –  Robert Naviaux and Gordon Medical :

“Metabolic features of chronic fatigue syndrome” – 2016

See more on the study…

Evidence that CFS truly does deserve all three elements of its name has accumulated over the years but a definitive diagnostic test has remained elusive. Until, perhaps, now. For in this week’s Proceedings of the National Academy of Sciences Robert Naviaux of the University of California, San Diego, and his colleagues published evidence that the metabolisms of those diagnosed with CFS are all changing in the same way. Their data suggest it is this cellular response to CFS-triggering traumas, and not the way the response is set in motion, which should define the illness. They also show that this response produces a chemical signal that might be used for diagnosis.

The Economist