Title |
Immunostimulation in the treatment for chronic fatigue syndrome/myalgic encephalomyelitis
|
---|---|
Published in |
Immunologic Research, April 2013
|
DOI | 10.1007/s12026-013-8413-z |
Pubmed ID | |
Authors |
Amy D. Proal, Paul J. Albert, Trevor G. Marshall, Greg P. Blaney, Inge A. Lindseth |
Abstract |
Chronic fatigue syndrome (CFS)/myalgic encephalomyelitis (ME) has long been associated with the presence of infectious agents, but no single pathogen has been reliably identified in all patients with the disease. Recent studies using metagenomic techniques have demonstrated the presence of thousands of microbes in the human body that were previously undetected and unknown to science. More importantly, such species interact together by sharing genes and genetic function within communities. It follows that searching for a singular pathogen may greatly underestimate the microbial complexity potentially driving a complex disease like CFS/ME. Intracellular microbes alter the expression of human genes in order to facilitate their survival. We have put forth a model describing how multiple species-bacterial, viral, and fungal-can cumulatively dysregulate expression by the VDR nuclear receptor in order to survive and thus drive a disease process. Based on this model, we have developed an immunostimulatory therapy that is showing promise inducing both subjective and objective improvement in patients suffering from CFS/ME. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 13 | 19% |
United States | 11 | 16% |
Germany | 5 | 7% |
Canada | 4 | 6% |
Australia | 2 | 3% |
Netherlands | 2 | 3% |
France | 1 | 1% |
Ireland | 1 | 1% |
Comoros | 1 | 1% |
Other | 1 | 1% |
Unknown | 28 | 41% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 58 | 84% |
Scientists | 6 | 9% |
Practitioners (doctors, other healthcare professionals) | 5 | 7% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 2 | 3% |
United States | 2 | 3% |
United Kingdom | 1 | 1% |
Unknown | 72 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 17 | 22% |
Student > Master | 13 | 17% |
Student > Bachelor | 9 | 12% |
Student > Ph. D. Student | 7 | 9% |
Student > Postgraduate | 7 | 9% |
Other | 10 | 13% |
Unknown | 14 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 21 | 27% |
Agricultural and Biological Sciences | 8 | 10% |
Nursing and Health Professions | 7 | 9% |
Biochemistry, Genetics and Molecular Biology | 7 | 9% |
Psychology | 5 | 6% |
Other | 13 | 17% |
Unknown | 16 | 21% |