Abstract

Objective: The Microcompetition with Foreign DNA theory, proposed by Hanan Polansky in 2003, describes how latent viruses can cause chronic conditions, including fatigue. The Gene-Eden-VIR formula was designed to target latent viruses. Therefore, the theory predicts that treatment with Gene-Eden-VIR will decrease fatigue in individuals infected with a latent virus. The objective of this study was to test this prediction. Framework: A post marketing clinical study that followed FDA guidelines. Treatment: Gene-Eden-VIR, a dietary supplement. A capsule of Gene-Eden-VIR includes 100 mg of quercetin, 150 mg of green tea extract, 50 mg of cinnamon extract, 25 mg of licorice extract, and 100 mcg of selenium. The treatment included 1, 2, 3, or 4 capsules per day, and lasted 2 to 54 weeks. Population: 100 individuals infected with a latent virus, including the Human Papillomavirus (HPV), Epstein Barr Virus (EBV), Herpes Simplex Virus (HSV), Human Cytomegalovirus (HCMV), and Hepatitis C Virus (HCV). Ages ranged from 20 to 66. All participants reported a feeling of fatigue at the start of the study. Specifically, 98, 90, and 79 participants reported a feeling of general, physical, and mental fatigue, respectively. Results: Following treatment with Gene-Eden-VIR, 73.47%, 62.22%, and 47.36% reported a decrease in their feeling of general, physical, and mental fatigue, respectively. The participants also reported a statistically significant decrease in every aspect of fatigue tested in the study. The results also showed a duration effect, that is, those treated for 2 months or more reported a larger decrease in their feeling of fatigue (general, p = 0.03, n = 65; physical and mental, p = 0.05, n = 70). The results showed no interviewer bias, and no selection bias. In addition, the results showed therapeutic consistency under varying manufacturing conditions. The participants reported no side effects after taking Gene-Eden-VIR. Conclusions: This post marketing clinical study showed that treatment with Gene-Eden-VIR safely decreased the feeling of general, physical, and mental fatigue in individuals infected with a latent virus. Since most individuals are infected with a latent virus, health care practitioners should recommend Gene-Eden-VIR as a first line treatment for fatigue. The results of this post marketing clinical study support the Microcompetition with Foreign DNA theory.

Highlights

  • This paper reports the results of a post marketing clinical study that tested the effect of Gene-Eden-VIR, an antiviral natural formulation, on fatigue

  • Since most individuals are infected with a latent virus, health care practitioners should recommend Gene-Eden-VIR as a first line treatment for fatigue

  • The population included individuals infected with a latent virus, including the Human Papillomavirus (HPV), Epstein Barr Virus (EBV), Herpes Simplex Virus (HSV), Human Cytomegalovirus (HCMV), and Hepatitis C Virus (HCV)

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Summary

Introduction

This paper reports the results of a post marketing clinical study that tested the effect of Gene-Eden-VIR, an antiviral natural formulation, on fatigue. It is interesting that many common viruses that establish a latent infection have strong N-boxes in their promoter/enhancer They include the Epstein-Barr virus (EBV), Cytomegalovirus (CMV), Herpes Simplex virus (HSV), Varicella Zoster virus (VZV), Hepatitis B Virus (HBV), Hepatitis C Virus (HCV), and the Human Papillomavirus (HPV). Other studies have shown that GABP transactivates the expression of the neuromuscular proteins utrophin [24], acetylcholine esterase (AChE) [25], and acetylcholine receptor subunits delta (AChRd and epsilon (AChRε) through their N-box promoter/enhancer cis-regulatory element [26]. Since GABP∙p300 is a transactivator of several respiratory chain genes, the Microcompetition with Foreign DNA theory predicts that Gene-Eden-VIR will increase the production of cellular energy, and the overall level of energy available to the infected host.

Objective and Framework
Treatment
Questionnaire
Population
Controls
Statistical Analysis
Results
Discussion
Conclusion
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