At TNI BioTech, Inc., our goal is to benefit patients with chronic and often life-threatening diseases through the activation and rebalancing of the body's immune system using our patented immunotherapy.
Our products, technologies, and patents are designed to harness the power of the immune system to improve the treatment of cancer and infections, such as HIV/AIDS and autoimmune diseases. We are currently developing active and adoptive forms of immunotherapies.
Our most advanced clinical programs involve immunotherapy with methionine-enkephalin (MENK) or low dose naltrexone, which both work by triggering opioid receptors on immune cells and lead to an activation and expansion of various cells in the immune system.
* This video was published in January 2013. The information contained in this video speaks only as of January 2013, and TNI BioTech, Inc. has, and accepts, no responsibility or duty to update any such information and reserves the right to add to, remove or amend any information contained in this video. This video may contain projections or other forward-looking statements regarding a variety of items. Such forward-looking statements are based upon expectations as of the date of this video and involve risks and uncertainties. Actual results may differ materially from those stated in any forward-looking statement based on a number of important factors and risks, which are more specifically identified in our most recent Securities and Exchange Commission filings. Although we may indicate and believe that the assumptions underlying the forward-looking statements are reasonable, any of the assumptions could prove inaccurate or incorrect and, therefore, there can be no assurance that the results contemplated in the forward-looking statements will be realized.
One third of idiopathic Parkinson's disease (IPD) patients report fatigue as their most disabling symptom, and 58% consider fatigue to be one of their three most disabling symptoms. The use of low-dosenaltrexone (LDN), 4.5 mg qhs, has been anecdotally reported to improve fatigue in IPD.
We are examining the tolerability and effectiveness of LDN in patients with parkinsonism in an ongoing open-label trial. Fatigue and motor symptoms in the “On” state are being assessed at baseline and every 4 months over 1 year using the Parkinson Fatigue Scale (PFS-16) and the Unified Parkinson's Disease Rating Scale (UPDRS), respectively. Global Satisfaction of Treatment is also being assessed. We report here on the changes in fatigue and motor scores among the 4 IPD subjects who were fatigued at baseline, defined as a score of e 53 on the PFS-16. We also compare the fatigue changes with those from previous trials in fatigued IPD and multiple sclerosis (MS) patients.
Eight subjects have been enrolled since January 2009. The 4 IPD subjects who were fatigued at baseline have experienced a mean 22% reduction in PFS-16 scores (range 13–30%) and a 15% increase in total UPDRS “On” scores after 8 months of LDN therapy. Mean Global Satisfaction of Treatment at 8 months was 8.75 on the 10-point scale. No side effects have been associated with LDN therapy among the 8 subjects. Based on previous randomized controlled trials (RCTs), the only effective therapy for fatigue in IPD has been methylphenidate, which showed a 16% decrease in fatigue from baseline. The three therapies demonstrating effectiveness in treating fatigue in MS patients in RCTs have been amantadine, modafinil, and aspirin, which decreased fatigue by 24%, 20%, and 18% from baseline, respectively. Modafinil was shown to be ineffective in treating fatigue in IPD.
In this small, open-label trial, LDN therapy was well tolerated and was associated with equivalent reductions in fatigue compared with historical benchmarks. These observed reductions in fatigue are unlikely to have been a function of any perceived improvements to motor symptoms, because UPDRS scores slightly worsened over the 8-month trial, as expected in this progressive disease.
Link to full article: http://www.springerlink.com/content/37300l3757706tt1/fulltext.pdf