Effects of sliding mode contr ects of sliding mode control antir ol antiretroviral drug on HIV al drug on HIV-1 viral load

Effects of sliding mode contr ects of sliding mode control antir ol antiretroviral drug on HIV al drug on HIV-1 viral load

Human immunodeficiency virus (HIV) has devastating effects on human society. Researchers have proposed many models for the decay of CD4 + T cells, the growth of infected cells, and viral load. In this paper, four first-order nonlinear coupled differential equations have been considered. Four variables are CD4 + T cells, which are healthy, less infected cells, more infected cells capable of producing virus, and finally the viral load. Apart from the two drug therapies, protease inhibitor (PI) and reverse transcriptase inhibitor (RTI), which have already been considered in the literature, we have proposed antiretroviral drug (ARD) that works as sliding mode controller. We have used numerical methods to study the effect of RTI, PI, and ARD on healthy cells, infected cells, and the viral load. We have expressed our solutions in terms of log sigmoid functions and used memetic computing for the solution which is a hybridization of GA, a global optimizer, and sequential quadratic programming, a local optimizer. ARD, as a sliding mode controller, does help to improve the situation of the HIV patient, especially, in further reducing the viral load and also decreasing the infected cells which have the potential to produce virus. This helps in giving relief to the patient and an increase in life expectancy.

___

  • [1] Perelson AS, Nelson PW. Mathematical analysis of HIV-1 dynamics in vivo. SIAM Review 1999; 41 (1): 3-44. doi: 10.1137/S0036144598335107
  • [2] Ho DD, Neumann AU, Perelson AS, Chen W, Leonard JM et al. Rapid turnover of plasma virions and cd4 lymphocytes in hiv-1 infection. Nature 1995; 373 (6510): 123. doi: 10.1038/373123a0
  • [3] Perelson AS, Neumann AU, Markowitz M, Leonard JM, Ho DD. Hiv-1 dynamics in vivo: virion clearance rate, infected cell life-span, and viral generation time. Science 1996; 271 (5255): 1582-1586. doi: 10.1126/science.271.5255.1582
  • [4] Bonhoeffer S, May RM, Shaw GM, Nowak MA. Virus dynamics and drug therapy. Proceedings of the National Academy of Sciences 1997; 94 (13): 6971-6976. doi: 10.1073/pnas.94.13.6971
  • [5] Wang L, Li MY. Mathematical analysis of the global dynamics of a model for hiv infection of cd4+ t cells. Mathematical Biosciences 2006; 200 (1): 44-57. doi: 10.1016/j.mbs.2005.12.026
  • [6] Nowak MA, May RM. Mathematical biology of hiv infections: antigenic variation and diversity threshold. Mathematical Biosciences 1991; 106 (1): 1-21. doi: 10.1016/0025-5564(91)90037-J
  • [7] Sierra S, Kupfer B, Kaiser R. Basics of the virology of hiv-1 and its replication. Journal of Clinical Virology 2005; 34 (4): 233-244. doi: 10.1016/j.jcv.2005.09.004
  • [8] Ngina P, Mbogo RW, Luboobi LS. Modelling optimal control of in-host hiv dynamics using different control strategies. Computational and Mathematical Methods in Medicine 2018; 2018: 9385080. doi: 10.1155/2018/9385080
  • [9] Dixit NM, Perelson AS. Complex patterns of viral load decay under antiretroviral therapy: influence of pharmacokinetics and intracellular delay. Journal of Theoretical Biology 2004: 226 (1): 95-109. doi: 10.1016/j.jtbi.2003.09.002
  • [10] Nowak MA, Bonhoeffer S, Shaw GM, May RM. Anti-viral drug treatment: dynamics of resistance in free virus and infected cell populations. Journal of Theoretical Biology 1997; 184 (2): 203-217. doi: 10.1006/jtbi.1996.0307
  • [11] Nelson PW, Mittler JE, Perelson AS. Effect of drug efficacy and the eclipse phase of the viral life cycle on estimates of hiv viral dynamic parameters. Journal of Acquired Immune Deficiency Syndromes 1999; 26 (5): 405-412.
  • [12] Nelson PW, Perelson AS. Mathematical analysis of delay differential equation models of hiv-1 infection. Mathematical Biosciences 2002; 179 (1): 73-94. doi: 10.1016/S0025-5564(02)00099-8
  • [13] Pontryagin LS. Mathematical Theory of Optimal Processes. 1st ed. London, UK: Routledge, 2018. doi: 10.1201/9780203749319
  • [14] Srivastava PK, Banerjee M, Chandra P. Modeling the drug therapy for hiv infection. Journal of Biological Systems 2009; 17 (02): 213-223. doi: 10.1142/S0218339009002764
  • [15] Hattaf K, Yousfi N. Two optimal treatments of hiv infection model. World Journal of Modelling and Simulation 2012; 8 (1): 27-36.
  • [16] Kamboj D, Sharma MD. Effects of combined drug therapy on hiv-1 infection dynamics. International Journal of Biomathematics 2016; 9 (5): 1650065. doi: 10.1142/S1793524516500650
  • [17] Junaid A, Raja MA, Qureshi IM. Evolutionary computing approach for the solution of initial value problems in ordinary differential equations. World Academy of Science, Engineering and Technology 2009; 3 (7): 578-5581
  • [18] Malik SA, Qureshi IM, Amir M, Malik AN. Nature inspired computational approach to solve the model for HIV infection of CD4 T cells. Research Journal of Recent Sciences 2014; 3 (6): 67-76.
  • [19] Kurdi M. An improved island model memetic algorithm with a new cooperation phase for multi-objective job shop scheduling problem. Computers & Industrial Engineering 2017; 111: 183-201. doi: 10.1016/j.cie.2017.07.021
  • [20] Jaddi NS, Abdullah S. Hybrid of genetic algorithm and great deluge algorithm for rough set attribute reduction. Turkish Journal of Electrical Engineering & Computer Sciences 2013; 21 (6): 1737-1750. doi: 10.3906/elk-1202-113
  • [21] Zahoor RMA, Khan JA, Qureshi IM. Evolutionary computation technique for solving Riccati differential equation of arbitrary order. World Academy of Science, Engineering and Technology 2009; 3 (10): 303-309.
  • [22] Ahmed M, Qureshi IM, Saleem MA, Zubair M, Zafar S. Between-host HIV model: stability analysis and solution using memetic computing. Turkish Journal of Electrical Engineering & Computer Sciences 2019; 27 (4): 2769-2783. doi: 10.3906/elk-1812-57
  • [23] Perelson AS, Kirschner DE, De Boer R. Dynamics of hiv infection of cd4+ t cells. Mathematical Biosciences 1993; 114 (1): 81-125. doi: 10.1016/0025-5564(93)90043-A
  • [24] Perelson AS. Modeling the interaction of the immune system with hiv. In: Chavez C (editor). Mathematical and Statistical Approaches to AIDS Epidemiology 1989, Berlin, Heidelberg: Springer, pp. 350-370.
  • [25] Smith HL, De Leenheer P. Virus dynamics: A global analysis. SIAM Journal on Applied Mathematics 2003; 63 (4): 1313-1327. doi: 10.1137/S0036139902406905
  • [26] Wodarz D, Hamer DH. Infection dynamics in HIV-specific CD4 T cells: does a CD4 T cell boost benefit the host or the virus?. Mathematical Biosciences 2007; 209 (1): 14-29. doi: 10.1016/j.mbs.2007.01.007
  • [27] Hu Z, Liu X, Wang H, Ma W. Analysis of the dynamics of a delayed hiv pathogenesis model. Journal of Computational and Applied Mathematics 2010; 234 (2): 461-476. doi: 10.1016/j.cam.2009.12.038
  • [28] Wang Y, Zhou Y, Wu J, Heffernan J. Oscillatory viral dynamics in a delayed hiv pathogenesis model. Mathematical Biosciences 2009; 219 (2): 104-112. doi: 10.1016/j.mbs.2009.03.003
  • [29] Rong L, Feng Z, Perelson AS. Mathematical analysis of age-structured hiv-1 dynamics with combination antiretroviral therapy. SIAM Journal on Applied Mathematics 2007; 67 (3): 731-756. doi: 10.1137/060663945
  • [30] Srivastava PK, Banerjee M, Chandra P. Dynamical model of in-host hiv infection: With drug therapy and multi viral strains. Journal of Biological Systems 2012; 20 (03): 303-325. doi: 10.1142/S021833901250012X
Turkish Journal of Electrical Engineering and Computer Sciences-Cover
  • ISSN: 1300-0632
  • Yayın Aralığı: Yılda 6 Sayı
  • Yayıncı: TÜBİTAK
Sayıdaki Diğer Makaleler

Design and application of SPWM based 21-level hybrid inverter for induction motor drive

Sheikh T. MERAJ, Kamrul HASAN, Ammar MASAOUD

Design of a miniaturized planar microstrip Wilkinson power divider with harmonic cancellation

Saeedeh LOTFI, Saeed ROSHANI, Sobhan ROSHANI

Quantum key distribution over free space optic (FSO) channel using higher order Gaussian beam spatial modes

Muhammad KAMRAN, Muhammad Mubashir KHAN, Tahir MALIK, Asad ARFEEN

A new configuration for four-switch three-phase inverters based on a switched-capacitor step-up cell for electric vehicles application

Alireza LAHOOTI ESHKEVARI, Ali MOSALLANEJAD, Mohammadsadegh SEPASIAN

Gated recurrent unit based demand response for preventing voltage collapse in a distribution system

Venkateswarlu GUNDU, Sishaj pulikottil SIMON, Kinattingal SUNDARESWARAN, Srinivasa rao nayak PANUGOTHU

SDMA-based Distributed De A-based Distributed Device Disco vice Discovery for D2D y for D2D communication

Muddasir RAHIM, Muhammad Awais JAVED, Ahmad Naseem ALVI

Analysis of biometric data using watermarking techniques

Barış ÖZYER, Foday JORH, Claude FACHKHA

Effects of sliding mode contr ects of sliding mode control antir ol antiretroviral drug on HIV al drug on HIV-1 viral load

Musharif AHMED, Saad ZAFAR, Muhammad Aamer SALEEM, Muhammad ZUBAIR, Ijaz Mansoor QURESHI

Exploring the parameter space of human activity recognition with mobile devices

Özlem DURMAZ İNCEL, Berrenur SAYLAM, Muhammad SHOAIB

A regular expression generator based on CSS selectors for efficient extraction from HTML pages

Erdinç UZUN