Quantum
HEALTH
Issue 13 September/October 2011
physiological stability and ultimately its cellular and molecular biology. A range of pathologies starts to develop, often starting with diabetes and progressing to heart conditions, circulatory problems, cancers, and other diseases. In the case of diabetes, plasma glucose increases, pH decreases, the levels of minerals required for glucose metabolism decreases—all creating a situation where the pancreas is no longer able to sustain the production of insulin or the insulin is no longer supported by a biological environment which is conducive to its function in terms of glucose metabolism. What is ignored so often is the infl uence of the environment, that is, of phenotype. This is hugely signifi cant because the environment infl uences the rate at which expressed proteins subsequently react with their reactive substrates. So, phenotype may be every bit as signifi cant as genotype.
A New Context for Health Nobel laureate Professor Eric Kandel has written a succinct but insightful article about the missing link between cognition and cellular and molecular biology. That missing link is sensory input, for that which is received by the senses infl uences organ function and, hence, cellular and molecular biology. Extremes of sensory input, which we perceive as stress, infl uence the body’s physiological stability. For example, the most severe stresses—such as bereavement, work stress, divorce, loneliness—can have a signifi cant infl uence upon the heart. The various visceral organs work together in organ networks but no one has been able to understand how the visceral organs appear able to work in a coherent or synchronised manner or why in many cases of emergent pathology this apparently synchronised function becomes disturbed, which is what we see as autonomic dysfunction.
The most common CAM techniques use sensory input in the form of sound and light or by infl uencing brain waves or enhancing the function of the physiological systems (which regulate breathing, blood pressure, blood volume, blood glucose, blood cell content, digestion, elimination, osmotic pressure, sleep, pH, temperature, sexual function and posture).
36 Quantum Health
CAM techniques employing such principles include yoga, meditation, hypnosis, colour therapy, sound therapy/music, colonic irrigation, breathing/Buteyko, and nutrition. We could also include dancing, singing, and exercise.
There is an increasing proliferation of technologies which are based upon these principles; however, most are experiential. By that I mean that their developers and users often do not have a clear understanding of what their technique or consultation is based upon. I do not mean this to sound overtly critical. The truth is that practitioners are human—and humans make mistakes. The quest for modern medicine is to be able to better understand why diseases happen and to have better and less fallible means of diagnosing and treating disease. There has been some movement in this area, particularly in light and colour therapy.
The Virtual Scanner Perhaps the Russian researcher Dr
I.G.Grakov has made more progress in this area than any other researcher. Originating with a project in which he researched the medical application of industrial lasers in the early 1980s, he identifi ed a biological response to a waveform. This led to the development of a mathematical model which linked sense perception to the autonomic nervous system and incorporated an understanding of the nature, structure, and signifi cance of the physiological systems. The original technique was transposed into a computer programme and runs on a personal computer. The underlying games- based methodology appears to be more advanced than that adopted by conventional biomarker techniques. For example, this new view posits that if the organs work in organ networks, then no single biomarker can be an accurate measure of the health of that organ; and that protein conformation/shape is a factor in some diseases, such as diabetes mellitus and Alzheimers, and so the issue of signifi cance is not the level of the biomarker but instead the rate at which the expressed protein or biomarker subsequently reacts.
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