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A mathematical model for the virus medical imaging technique

Massimo Fioranelli

Department of Nuclear Physics, Sub-nuclear and Radiation, G.Marconi University, Rome, Italy

E-mail Address: massimo.fioranelli@gmail.com

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and

Alireza Sepehri

http://orcid.org/0000-0001-9358-4452

Research Institute for Astronomy and Astrophysics of Maragha (RIAAM), P. O. Box 55134-441, Maragha, Iran

E-mail Address: alireza.sepehri2017@gmail.com

Corresponding author.

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https://doi.org/10.1142/S0219887818501219Cited by:5 (Source: Crossref)

Abstract

In this paper, we introduce a mathematical model for the virus medical imaging (VMI). In this method, first, by proposing a mathematical model, we show that there are two types of viruses that each of them produce one type of signal. Some of these signals can be received by males and others by females. Then, we will show that in the VMI technique, viruses can communicate with cells, interior to human’s body via two ways. (1) Viruses can form a wire that passes the skin and reaches to a special cell. (2) Viruses can communicate with viruses interior to body in the wireless form and send some signals for controlling evolutions of cells interior to human’s body.

Keywords:

AMSC: 92Bxx, 92C05, 92–XX

References

1. E. Monico and I. Schwartz , Communication and documentation of preliminary and final radiology reports, J. Healthcare Risk Manag. 30(1) (2010) 23–25, https://doi.org/10.1002/jhrm.20039. Crossref, Google Scholar
2. R. Banerjee, M. Pavlides, E. M. Tunnicliffe, S. K. Piechnik, N. Sarania, R. Philips, J. D. Collier, J. C. Booth, J. E. Schneider, L. M. Wang, D. W. Delaney, K. A. Fleming, M. D. Robson, E. Barnes and S. Neubauer , Multiparametric magnetic resonance for the non-invasive diagnosis of liver disease, J. Hepatol. 60(1) (2014) 69–77, https://doi.org/10.1016/j.jhep.2013.09.00. Crossref, Web of Science, Google Scholar
3. J. Ophir, I. Cspides, H. Ponnekanti and X. Li , Elastography: A quantitative method for imaging the elasticity of biological tissues, Ultrason. Imag. 13(2) (1991) 111–134, https://doi.org/10.1016/0161-7346(91)90079-W. Crossref, Web of Science, Google Scholar
4. D. Turo, P. Otto, V. Egorov, A. Sarvazyan, L. H. Gerber and S. Sikdar , Elastography and tactile imaging for mechanical characterization of superficial muscles, J. Acoust. Soc. Am. 132(3) (2012) 1983. https://doi.org/10.1121/1.4755316. Crossref, Google Scholar
5. C. A. Roobottom, G. Mitchell and G. Morgan-Hughes , Radiation-reduction strategies in cardiac computed tomographic angiography, Clin Radiol. 65(11) (2010) 859–67, https://doi.org/10.1016/j.crad.2010.04.021. Crossref, Web of Science, Google Scholar
6. D. L. Bailey, D. W. Townsend, P. E. Valk and M. N. Maisey , Positron-Emission Tomography: Basic Sciences (Springer-Verlag, Secaucus, NJ, 2005). Crossref, Google Scholar
7. F. J. Bonte, T. S. Harris, L. S. Hynan, E. H. Bigio and C. L. White , Tc-99m HMPAO SPECT in the differential diagnosis of the dementias with histopathologic confirmation, Clin. Nucl. Med. 31(7) (2006) 376–8, https://doi.org/10.1097/01.rlu.0000222736.81365.63. Crossref, Web of Science, Google Scholar
8. M. Zwolak and M. Di Ventra , Electronic signature of DNA nucleotides via transverse transport, Nano Lett. 5 (2005) 421. https://doi.org/10.1021/nl048289w. Crossref, Web of Science, Google Scholar
9. D. Klotsa, R. A. Roemer and M. S. Turner , Electronic transport in DNA, Biophys. J. 89 (2005) 2187–2198, https://doi.org/10.1529/biophysj.105.064014. Crossref, Web of Science, Google Scholar
10. J. Lagerqvist, M. Zwolak and M. Di Ventra , Fast DNA sequencing via transverse electronic transport, Nano Lett. 6 (2006) 779. https://doi.org/10.1021/nl0601076. Crossref, Web of Science, Google Scholar
11. G. L. J. A. Rikken , A new twist on spintronics, Science 331 (2011) 864. https://doi.org/10.1126/science.1201663. Crossref, Web of Science, Google Scholar
12. A. M. Guo and Q. F. Sun , Spin-selective transport of electron in DNA double helix, Phys. Rev. Lett. 108 (2012) 218102. https://doi.org/10.1103/PhysRevLett.108.218102. Crossref, Web of Science, Google Scholar
13. L. Montagnier, J. Assa, S. Ferris, J. L. Montagnier and C. Lavalle , Electromagnetic signals are produced by aqueous nanostructures derived from bacterial DNA sequences, Interdiscip. Sci. Comput. Life Sci. 1 (2009) 81–90, https://doi.org/10.1007/s12539 009-0036-7. Crossref, Web of Science, Google Scholar
14. L. Montagnier, E. D. Giudice, J. AIssa, C. Lavallee, S. Motschwiller, A. Capolupo, A. Polcari, P. Romano, A. Tedeschi and G. Vitiello , Transduction of DNA information through water and electromagnetic waves, Electromagn. Biol. Med. 34 (2015) 106–112, https://doi.org/10.3109/15368378.2015.1036072. Crossref, Web of Science, Google Scholar
15. M. Blank and R. Goodman , DNA is a fractal antenna in electromagnetic fields, Int. J. Radiat. Biol. 87(4) (2011) 409–415, https://doi.org/10.3109/09553002.2011.538130. Crossref, Web of Science, Google Scholar
16. A. Sepehri , A mathematical model for DNA, Int. J. Geom. Methods Mod. Phys. 14 (2017) 1750152. https://doi.org/10.1142/S0219887817501523. Link, Web of Science, Google Scholar
17. L. A. Boyer, T. I. Lee, M. F. Cole, S. E. Johnstone, S. S. Levine, J. P. Zucker, M. G. Guenther, R. M. Kumar, H. L. Murray, R. G. Jenner, D. K. Gifford, D. A. Melton, R. Jaenisch and R. A. Young , Core transcriptional regulatory circuitry in human embryonic stem cells, Cell 122(6) (2005) 947–956, https://doi.org/10.1016/j.cell.2005.08.020. Crossref, Web of Science, Google Scholar
18. Q. L. Ying, J. Wray, J. Nichols, L. Batlle-Morera, B. Doble, J. Woodgett, P. Cohen and A. Smith , The ground state of embryonic stem cell self-renewal, Nature 453(7194) (2008) 519–523, https://doi.org/10.1038/nature06968. Crossref, Web of Science, Google Scholar
19. J. A. Thomson, J. Itskovitz-Eldor, S. S. Shapiro, M. A. Waknitz, J. J. Swiergiel, V. S. Marshall and J. M. Jones , Blastocysts embryonic stem cell lines derived from human, Science 282(5391) (1998) 1145–1147. Crossref, Web of Science, Google Scholar
20. D. W. McRobbie , MRI From Picture to Proton (Cambridge University Press, Cambridge, 2007). Google Scholar
21. J. Riddell, R. S. Gazit, B. Garrison, G. Guo, A. Saadatpour, P. K. Mandal, W. Ebina, P. Volchkov, G. C. Yuan, H. S. Orkin and D. J. Rossi, Reprogramming committed murine blood cells to induced hematopoietic stem cells with defined factors, Cell 157(3) (2014) 549–564, doi: 10.1016/j.cell.2014.04.006; S. L. Lin, W. J. Chang, C. Y. Lin, S. C. Hsieh, S. Y. Lee, K. H. Fan and C. T. Lin and H. M. Huang, Static magnetic field increases survival rate of dental pulp stem cells during DMSO-free cryopreservation, Electromagn. Biol. Med. 34(4) (2015) 302–308, doi: 10.3109/15368378.2014.919588; S. H. Park, W. Y. Sim, S. W. Park, S. S. Yang, B. H. Choi, S. R. Park, K. Park and B. H. Min, An electromagnetic compressive force by cell exciter stimulates chondrogenic differentiation of bone marrow derived mesenchymal stem cells, Tissue Eng. 12(11) (2006) 3107–3117, doi: 10.1089/ten.2006.12.3107; W. Y. Jeong, J. B. Kim, H. J. Kim and C. W. Kim, Extremely low-frequency electromagnetic field promotes astrocytic differentiation of human bone marrow mesenchymal stem cells by modulating SIRT1 expression, Exp. Biol. Med. 238(8) (2013) 923–931, doi: 10.1080/09168451.2017.1308243. Google Scholar
22. W. B. Guggino and L. Cebotaru, Adeno-associated virus (AAV) gene therapy for cystic fibrosis: Current barriers and recent developments, Exp. Opin. Biol. Therapy 17 (2017) 1265–1273; K. Y. Mak, I. G. Rajapaksha, P. W. Angus and C. B. Herath, Current Gene Therapy 17(1) 4–16. Google Scholar
23. D. R. Deyle and D. W. Russell , Adeno-associated virus vector integration, Current Opin. Molecul. Therapeut. 11(4) (2009) 442–7. Google Scholar
24. J. C. Grieger and R. J. Samulski , Adeno-associated virus as a gene therapy vector: vector development, production and clinical applications, Adv. Biochem. Eng./Biotechnol. 99 (2005) 119–45, https://doi.org/10.1007/10-005. Web of Science, Google Scholar
25. F. J. Kim, J. L. Battini, N. Manel and M. Sitbon, Emergence of vertebrate retroviruses and envelope capture, Virology 318(1) (2004) 18391, doi: 10.1016/j.virol.2003.09.026; R. Kurth and N. Bannert (eds.), Retroviruses: Molecular Biology, Genomics and Pathogenesis (Horizon Scientific, 2010). Google Scholar
26. Y. Yi, S. H. Hahm and K. H. Lee, Retrovira, gene therapy, Safety issues and possible solutions, Current Gene Therapy 5(1) (2005) 25–35, doi:https://doi. org/10.2174/1566523052997514; L. Biasco, M. Rothe, H. Bning and A. Schambach, Analyzing the genotoxicity of retroviral vectors in hematopoietic cell gene therapy, Mol. Ther. Methods — Clin. Develop. 8 (2018) 21–30, doi:https://doi.org/10.1016/j.omtm.2017.10.002. Google Scholar
27. H. B. Gaspar et al., Gene therapy of X-linked severe combined immunodeficiency by use of a pseudotyped gammaretroviral vector, Lancet 364 (2004) 18–31, https://doi.org/10.1016/S0140-6736(04)17590-9. Crossref, Web of Science, Google Scholar