The Effect of Proportion and Degree of Resistance of CD4+ Lymphocytes on in vivo HIV dynamics

For a disease like HIV(Human Immunodeficiency Virus) that infects 240 human beings each hour with the consequent increase in morbidity and mortality, a cure would be very welcome news. In order for this to happen, the true in vivo dynamics of transmission must be understood. Mathematical modelling and computational prowess have made it possible to convert large sets of data into easily analyzed and interpreted information with an amazing potential to change lives. In this paper, we explored the use of biomathematical modeling with computation in the dynamic changes resulting from HIV infection of CD4 + (Cluster of differentiation 4) lymphocytes. This model is designed to simulate the in vivo dynamics of the proportion and degree of CD4 + lymphocyte resistance. Our results show that the degree of intrinsic CD4 + resistance against the acquisition of HIV is more important than the proportion of resistant CD4 + lymphocytes in vivo. Genetic determinants of resistance are postulated to be the backbone of development of intrinsic resistance. This work may serve as serve as a blueprint on how to use biomathematical modeling to tackle other infectious diseases. The findings of this work will be the basis of enthusiastic research to finally realize definitive control of HIV.