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Showing posts from December, 2016

Association of active human herpesvirus-6 (HHV-6) infection with autoimmune thyroid gland diseases.

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https://www.ncbi.nlm.nih.gov/ pubmed/27693656 Truth to Power New York Native 1980-1997 Available at Amazon in every country. By the time you finish this eye-opening book you will question everything you have been told about Chronic Fatigue Syndrome and AIDS. In this powerfully written history you will find credible and disturbing evidence linking the two epidemics to one virus, HHV-6. You will wonder if HHV-6 is the real AIDS/CFS virus and whether the HIV theory of AIDS is one of the biggest mistakes ever made in medical science. This book will inspire an international debate about HHV-6 and Chronic Fatigue Syndrome. * Truth to Power exposes the corrupt world of AIDS and Chronic Fatigue Syndrome research. * Truth to Power reveals how the Centers for Disease Control has covered up a massive epidemic of Chronic Fatigue Syndrome and HHV-6, the virus that clearly is what is destroying the immune systems of CFS patients. * Truth to Power explains why HHV-6 has bec

More evidence Chronic Fatigue Syndrome is part of the AIDS epidemic?

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https://www.ncbi.nlm.nih.gov/pubmed/27981498 Mol Neurobiol. 2016 Dec 15. [Epub ahead of print] Humoral Immunity Profiling of Subjects with Myalgic Encephalomyelitis Using a Random Peptide Microarray Differentiates Cases from Controls with High Specificity and Sensitivity. Abstract Myalgic encephalomyelitis (ME) is a complex, heterogeneous illness of unknown etiology. The search for biomarkers that can delineate cases from controls is one of the most active areas of ME research; however, little progress has been made in achieving this goal. In contrast to identifying biomarkers that are directly involved in the pathological process, an immunosignature identifies antibodies raised to proteins expressed during, and potentially involved in, the pathological process. Although these proteins might be unknown, it is possible to detect antibodies that react to these proteins using random peptide arrays. In the present study, we probe a custom 125,000 random 12-mer peptide microarray

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