Viewing the Blood Glucose Levels of the Drug-Induced Diabetic Experimental Rats Treated With the Cissampelos Pareira L. (Menispermaceae) Root Extract - II

Abstract

We propose a quadratic polynomial model for understanding the pattern of the average values of the blood glucose levels of the first group of experimental rats which are classified by the name Group 1 Normal Control (G1NC) in a recent study conducted by Ankit Kumar et al. (see, Ankit Kumar, Ravindra Semwal, Ashutosh Chauhan, Ruchi Badoni Semwal, Subhash Chandra, Debabrata Sircar, Partha Roy and Deepak Kumar Semwal, Evaluation of antidiabetic effect of Cissampelos pareira L. (Menispermaceae) root extract in streptozotocin-nicotinamide-induced diabetic rats via targeting SGLT2 inhibition, Phytomedicine Plus 2 (2022) 100374, 11pp., https://doi.org/10.1016/j.phyplu.2022.100374) which was aimed at finding how the plant Cissampelos pareira L. (Menispermaceae) could be the source of one of the effective drugs for the treatment of diabetes. In our earlier study on this subject, we discussed a dose response Hill model for the pattern of averages of blood glucose levels of the rats of the group G1NC of this study of Ankit Kumar et al. We also show here that the quadratic model discussed here is a better model than the Hill model earlier discussed by us. Some characteristic features of the covariance matrix of the proposed quadratic polynomial model are also discussed by us which include its inverse, Gram Schmidt orthogonalization, eigenvalues, eigenvectors and the positive definiteness.