Application and Development of BiochemicalTransformation Kinetics for a DenguePatient under Treatment of Carica papaya Leaves Extract

. Dengue in recent years has become a worldwide public health concern. So far, there was no defined treatment for it. Therefore, secondary interpretation of a therapeutic trial study was done to evaluate the potential of Carica papaya leaves extract against Dengue fever by application of chemical kinetic studies. The performed secondary analysis data set was obtained from Ahmad et al., 2011. According to the study, 25 mL of aqueous extract of C. papaya leaves was administered to a patient infected with dengue fever twice daily for 5 consecutive days. Before and after the administration, the blood samples from the patient were analyzed for Platelets counts (PLT), White Blood Cells (WBC) and Neutrophils (NEUT). The effectiveness of C.papaya leaf extract was predicted by the logistic growth equation, first order and Michelis-Menten kinetics. Michelis-Menten analysis of PLT count, WBC and NEUT showed longer time period for recovery and it can be predicted. Application of logistic growth equation to predict the rise of PLT count showed the growth coefficient of α = 0.627, retardation coefficient β = 0.0033, the peak α/β = 190 x 10/μL and the lowest Xo= 50 x 10/ μL. However, a first order equation fits better indicating virus inhibitions. A first order rate reaction allows predictions to be made even after one day’s PLT count. If the slope, k is > 0.2868, between the ln values of 1 and 2 day, the patient is likely to have had an attack of dengue virus. Knowing k, can lead to prediction of hypothetical values for the next five days. Michaelis-Menten kinetics can be applied to the hypothetical values so as to make comparisons. In order to validate these findings, it is best to undertake a research involving number of patients suffering from dengue. However, this is only a preliminary study to demonstrate the soundness of the mathematical techniques used and it is recommended to undertake a large scale study to validate the findings.