INTL. SYMP. ON TECHNOLOGICAL INNOVATIONS IN MEDICINE FOR SUSTAINABLE DEVELOPMENT

On the nm scale, cellular constituents are highly heterogeneous: the dielectric constant boundaries, the uneven dispersion of fixed and mobile charges, partial ordering of water molecules create an environment where the local chemical and physical properties differ from one site to another. The study of this ‘ensemble” requires a methodology that can discriminate among nm size sites, where a “gauging” particle will remain for not more than few ns. This requirement is readily met by proton pule experiments (1).
The photo-excited state of certain aromatic compound are very acidic (pK*< 2) and by illumination ejects a proton to the solvent. The released proton diffuses within the immediate vicinity and may recombine with the excited anion (ϕO-*) in response to its electric field reforming the ϕOH* state. Altogether, the observation time is few ns and the distance the proton can disperse, before the molecule relaxes to its ground state, is ~2-4 nm, thus assuring a localized observation (2). Judicious insertion of the photo-acids, like pyranine, into a well-defined environment (3) enables quantitative evaluation of the physical-chemical properties of the immediate vicinity of the site. The various studies were spread over a large biological domains; like active site of proteins (Apomyiglobin, lac permease), or the water filled space of a Large-Pore Channel protein (PhoE) or the interface between solvent and carbohydrate molecule (cyclodextrine), the aquose phase between lipid bilayer (multilamentar) and the reverse micelles of different radiuses. The micro loci are characterized by a lower chemical activity of the water, modulated diffusion coefficient, enhanced electrostatic field and highly affected by the geometry of the local space.

Metabolic pathways are summation of many simultaneous parallel reactions with numerous interactions between the reactants. Here, a general mode capable of treating a large number of linked processes as a set of coupled kinetic equations is described, where all forward and backward reactions are expressed. The analysis is capable of considering multi component processes with high precision; determining the rate constants of partial reactions without neglecting any event, providing an insight into parameters like the local viscosity, the energy barrier, the diffusivity of the reactants in the reaction space and identify redundant pathways that are not essential for the process. The input for the analysis are time resolved signals generated by brief perturbation of the system; the analysis is carried out by integration of the differential rate equations that reconstruct the observed signals. The analysis was first implemented for experiments, where acid-base equilibria were perturbed by sub-nanosecond increments of the H+ concentration (1). The analysis was extended to study biological multi-equilibria systems like the interaction of Calmodulin with bio-membranes (2), the quality control of protein synthesis (3), proton-ion exchange between aqueous phases separated by a bio-membrane impregnated by a diffusing carrier (4), the sequential reactions involving the release of signaling small molecules by the pre-synaptic membrane, or the evaluation of the heterogeneous reactivity of the Syntaxin molecules on the inner leaflet of the plasma membrane (5). This chapter will discuss both the theoretical framework and as well as the methodology in order to make it applicable for diverged biochemical and chemical processes.

Obesity is a worldwide health crisis, with >1 billion adults who are overweight (BMI >25 kg/m2), and 500 million who are obese (BMI >30 kg/m2). Annual US medical costs in the U.S. reflecting obesity are in excess of $150 billion, and by 2030 will increase 120%. Obesity reflects excess nutrition, in which calories consumed exceed those expended metabolically, in part due to abnormal satiety responses regulating appetite. Beyond cardiovascular and metabolic consequences producing morbidity and mortality in obesity, there is a linkage between body weight and cancer risk, including colorectal cancer. Obese patients have up to a 60% greater risk of, and ~200% greater death rate from, colorectal cancer. While the epidemiology of this relationship is known, mechanisms linking obesity and colorectal cancer have not been defined. GUCY2C is the receptor for the hormones uroguanylin in small intestine and guanylin in the colorectum. A novel mechanistic paradigm suggests that guanylin loss silencing GUCY2C signaling, and epithelial cell homeostasis, is an essential step initiating colorectal cancer.[1] Further, small intestine secretion of uroguanylin into the circulation forms an intestine-brain axis controlling hypothalamic GUCY2C regulating satiety, body weight, and metabolic balance.[2-4] In the present studies, we reveal that hyperphagia, and the consumption of excess calories, suppresses the expression guanylin and uroguanylin by the colorectum and small intestine, respectively, disrupting GUCY2C paracrine and endocrine signaling axes at the intersection of colorectal cancer and obesity.5 Expression of those hormones, but not GUCY2C, is reduced in across the rostral-caudal axis of the intestine, by diet-induced obesity in mice and humans. Expression of hormones are reversibly suppressed by consumed calories by a mechanism involving endoplasmic reticulum stress. Indeed, transgenic supplementation of guanylin in intestine eliminates tumorigenesis induced by obesity. Additionally, transgenic uroguanylin in brain improves satiety responses in diet-induced obesity. Together, these data suggest a pathophysiological model in which caloric suppression of hormone expression silencing GUCY2C is at the nexus of mechanisms underlying obesity and the risk of colorectal cancer.[5] Beyond this mechanism, these studies offer a therapeutic paradigm which exploits the preservation of GUCY2C expression in hyper-nutrition, in which hormone supplementation restores endocrine and paracrine axes to reconstitute appetite control opposing obesity and intestinal homeostasis preventing transformation.[5]

Aminoglycosides inhibit bacterial growth by binding to the A-site decoding region of the bacterial 16s ribosomal RNA (rRNA) within the 30S ribosomal subunit. Previous work has shown that there is approximately a five-fold difference in the affinity of neomycin for the human A-site model and the E. coli model. The methodology for synthesizing, screening for both ribosomal binding/selectivity and bacterial growth inhibition, and rapid analysis of the data provides a systematic method for identification of bacterial ribosome specific antibacterials that can evade bacterial resistance pathways. We have developed rapid synthetic and screening methods that rapidly identify compounds that discriminate between the two model rRNA structures.
Novel potent aminoglycosides that show high selectivity for the bacterial ribosome over mammalian ribosome were identified. Our approach, coupled with a rapid solid phase synthesis of peptidic aminosugars, has identified active aminoglycosides that show large differences in binding affinity for the E. coli A-site vs. the human A-site. Synergistic applications with clinical antibiotics have allowed us to develop novel antimicrobials that can inhibit the growth of multidrug resistant bacteria.

Quantum theory is often displayed in nature, and understanding the application of quantum mechanics to it, is the first step in applying it to medicine. In nature, applications of quantum mechanics often deals with superposition, entanglement and tunneling. Energy-converting biological processes such as chemical reactions, light absorption that are instantaneous or extremely efficient can be explained through quantum mechanics. These include and are not limited to photosynthesis, cellular respiration, vision, and DNA mutations and repair. While much more research needs to be done on quantum biology, we still have the obligation of designing and implementing medical devices and treatment protocols based on our understandings of what we have learned and observed over the last 100 years in the field of quantum mechanics and their profound healing affects on human & animal biology. We will review a number of medical devices, protocols, and technologies which are utilized by doctors practicing advanced integrative medicine to treat the root cause of disease; with the common denominator being that the mechanism of action for all of these treatment modalities is solidly based on the principals of quantum mechanics.There’s one industry that is especially poised for massive changes on many levels from quantum technology: health care. Quantum technology is set to revolutionize the way we think about health care, medical data, and even our own biology. In this lecture, we shall also explore the possible medical role of Einstein's "completion" of quantum mechanics into hadronic mechanics, with particular reference to R. M. Santilli' conception of cells and, therefore, human bodies, as a collection of extended wavepackets in one single, total, mutual entanglement.

About 100 years ago, Chiyozo Makino, a director of Makino Iodine Research Institute (Japan) wrote in the book entitled "Epidemic Influenza" as follows; subcutaneous injection of iodide ion was effective in prevention and healing of Spanish flu, and that patients of tuberculosis (correctly pneumonia) were healed [1]. We now report on the basis of computational theory verification, i.e. density functional theory based molecular modeling (DFT/MM) [2][3] that all living cells become active by antioxidative action of iodide ions on mitochondria(mt) as power plants of living cells, and the patient's respiratory epithelial cells are regenerated by pluripotent stem cells full with activated mt, which means disappearance of the virus propagated in lung epithelial cells.
Influenza virus and mt are both endoplasmic reticulum in living cells, and viral growth in living cells must impair mitochondrial metabolic function. DFT/MM verifies that mt’s energy production by consuming superoxide radical anion (O2.-) stops and the overproduced O2.- reduces hydrogen peroxide (HOOH), which is accumulated in mt of aged cells, into hydroxyl radical (HO.) [4]. Reductive production of HO. and the attack on virus causes oxidative degradation of virus membranes as is validated for oxidative degradation of mt membranes. The theory verification well explains that influenza patients will recover gradually as far as the mt in respiratory cell systems are working with breathing.
I will discuss why iodine therapy works as antiviral agent as ethanol, quaternary ammonium chloride, and hypochlorous acid work as antibacterial agents in the medical field.

It is demonstrated that according to the first law of thermodynamics the equality of entropic and negentropic components is the condition of resonance stationary state of systems. The initial nomograms of entropic and negentropic characteristics for many processes and phenomena in nature, engineering and physical chemistry are given. The entopic technique for forming fractal systems is presented. The coronavirus scenario in Russia is analyzed. The accuracy of forecast regarding the maximum number of diseases at the given moment and plateau duration is 96.5 % and 98.5%, respectively.
Keywords: coronavirus, entropy, negentropy, nomograms, stationary state, forecasts, fractals

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