THERAPEUTIC RESPONSE OF OPTIMIZED THERMODYNAMIC CONTROL MODEL IN HIV DYNAMICS

Abstract: In a continued quest to permanently have a cure to HIV infection, a thermodynamic optimized control infectivity model was introduced in an adopted basic viral dynamics model. The ensued model, an Ordinary Differential Equation (ODE) was solved at two instances. First under the condition of uninfected cell (CD4+) proliferation with saturation response and secondly when there was no uninfected cell (CD4+) proliferation and saturation response with each having two series of controlled and uncontrolled dynamics. The Ordinary Differential Equation (ODE) solution method was a numerical integration that utilized explicit Runge-Kutta method in MATLABTM function ode 23. Historical drug parameters for the model were introduced to the model for simulation of the infection dynamics from day 20 to 300 for cure. The infection time course showed that in the first instant for the controlled brown series, both infected cell count ( ) and viral load ( ) were forced to die out and converge to equilibrium of 0 and 0 respectively, at about five (5) days after introduction of the drug control parameters that is about the twenty fifth (25th) day of infection. The uninfected cell converges to equilibrium average supply rate from thymus and taking cognizance of proliferation to about 1200( ) at about thirtieth (35th) day after introduction of control that is about the fifty fifth (55th) day of infection. The uncontrolled blue series progressed as expected. In the second instant for the controlled green series, both infected cell count ( ) and viral load ( ) were again forced to die out and converge to equilibrium of 0 and 0 respectively, at about five (5) days after introduction of the optimized control drug parameters that is about the twenty fifth (25th) day of infection. The uninfected cell converges to equilibrium average supply rate from thymus to have λ/δ , 1000( ) at about thirtieth (35th) day after introduction of control that is about the fifty fifth (55th) day of infection hence validating the model. The uncontrolled red series progressed as expected. This explains recovery and making up of the depreciated uninfected cell count. Combined front of interfacial energetic approach of Hamaker coefficient and spectrophotometric approach have proved effective at optimized condition in the fight against HIV. Clinical management as well as the pharmaceutical industries should adopt the method for a clinical extinction of the disease. Keywords: Human immunodeficiency virus, Interfacial energetics, Control Infectivity, Absorbance, Hamaker coefficient. Title: THERAPEUTIC RESPONSE OF OPTIMIZED THERMODYNAMIC CONTROL MODEL IN HIV DYNAMICS Author: Ilo, C. P., Omenyi, S. N., Dim, E. C. International Journal of Interdisciplinary Research and Innovations ISSN 2348-1218 (print), ISSN 2348-1226 (online) Vol. 12, Issue 3, July 2024 - September 2024 Page No: 68-73 Research Publish Journals Website: www.researchpublish.com Published Date: 30-September-2024 DOI: https://doi.org/10.5281/zenodo.13861624 Paper Download Link (Source) https://www.researchpublish.com/papers/therapeutic-response-of-optimized-thermodynamic-control-model-in-hiv-dynamics

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-30
DOI
https://doi.org/10.5281/zenodo.13861623
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

THERAPEUTIC RESPONSE OF OPTIMIZED THERMODYNAMIC CONTROL MODEL IN HIV DYNAMICS

Zenodo (CERN European Organization for Nuclear Research)
Mathematical and Theoretical Epidemiology and Ecology Models
article

THERAPEUTIC RESPONSE OF OPTIMIZED THERMODYNAMIC CONTROL MODEL IN HIV DYNAMICS

article en

Abstract

Abstract: In a continued quest to permanently have a cure to HIV infection, a thermodynamic optimized control infectivity model was introduced in an adopted basic viral dynamics model. The ensued model, an Ordinary Differential Equation (ODE) was solved at two instances. First under the condition of uninfected cell (CD4+) proliferation with saturation response and secondly when there was no uninfected cell (CD4+) proliferation and saturation response with each having two series of controlled and uncontrolled dynamics. The Ordinary Differential Equation (ODE) solution method was a numerical integration that utilized explicit Runge-Kutta method in MATLABTM function ode 23. Historical drug parameters for the model were introduced to the model for simulation of the infection dynamics from day 20 to 300 for cure. The infection time course showed that in the first instant for the controlled brown series, both infected cell count ( ) and viral load ( ) were forced to die out and converge to equilibrium of 0 and 0 respectively, at about five (5) days after introduction of the drug control parameters that is about the twenty fifth (25th) day of infection. The uninfected cell converges to equilibrium average supply rate from thymus and taking cognizance of proliferation to about 1200( ) at about thirtieth (35th) day after introduction of control that is about the fifty fifth (55th) day of infection. The uncontrolled blue series progressed as expected. In the second instant for the controlled green series, both infected cell count ( ) and viral load ( ) were again forced to die out and converge to equilibrium of 0 and 0 respectively, at about five (5) days after introduction of the optimized control drug parameters that is about the twenty fifth (25th) day of infection. The uninfected cell converges to equilibrium average supply rate from thymus to have λ/δ , 1000( ) at about thirtieth (35th) day after introduction of control that is about the fifty fifth (55th) day of infection hence validating the model. The uncontrolled red series progressed as expected. This explains recovery and making up of the depreciated uninfected cell count. Combined front of interfacial energetic approach of Hamaker coefficient and spectrophotometric approach have proved effective at optimized condition in the fight against HIV. Clinical management as well as the pharmaceutical industries should adopt the method for a clinical extinction of the disease. Keywords: Human immunodeficiency virus, Interfacial energetics, Control Infectivity, Absorbance, Hamaker coefficient. Title: THERAPEUTIC RESPONSE OF OPTIMIZED THERMODYNAMIC CONTROL MODEL IN HIV DYNAMICS Author: Ilo, C. P., Omenyi, S. N., Dim, E. C. International Journal of Interdisciplinary Research and Innovations ISSN 2348-1218 (print), ISSN 2348-1226 (online) Vol. 12, Issue 3, July 2024 - September 2024 Page No: 68-73 Research Publish Journals Website: www.researchpublish.com Published Date: 30-September-2024 DOI: https://doi.org/10.5281/zenodo.13861624 Paper Download Link (Source) https://www.researchpublish.com/papers/therapeutic-response-of-optimized-thermodynamic-control-model-in-hiv-dynamics

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 46%
Mathematical and Theoretical Epidemiology and Ecology Models
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.