ABSTRACT
Background: Constitutional type of an individual or prakriti is the basic clinical denominator in Ayurveda, which defines physical, physiological, and psychological traits of an individual and is the template for individualized diet, lifestyle counseling, and treatment. The large number of phenotype description by prakriti determination is based on the knowledge and experience of the assessor, and hence subject to inherent variations and interpretations. Objective: In this study we have attempted to relate dominant prakriti attribute to body mass index (BMI) of individuals by assessing an acceptable tool to provide the quantitative measure to the currently qualitative ayurvedic prakriti determination. Materials and Methods: The study is cross sectional, multicentered, and prakriti assessment of a total of 3416 subjects was undertaken. Healthy male, nonsmoking, nonalcoholic volunteers between the age group of 20-30 were screened for their prakriti after obtaining written consent to participate in the study. The prakriti was determined on the phenotype description of ayurvedic texts and simultaneously by the use of a computer‑aided prakriti assessment tool. Kappa statistical analysis was employed to validate the prakriti assessment and Chi‑square, Cramer’s V test to determine the relatedness in the dominant prakriti to various attributes. Results: We found 80% concordance between ayurvedic physician and software in predicting the prakriti of an individual. The kappa value of 0.77 showed moderate agreement in prakriti assessment. We observed a significant correlations of dominant prakriti to place of birth and BMI with Chi‑square, P < 0.01 (Cramer’s V‑value of 0.156 and 0.368, respectively). Conclusion: The present study attempts to integrate knowledge of traditional ayurvedic concepts with the contemporary science. We have demonstrated analysis of prakriti classification and its association with BMI and place of birth with the implications to one of the ways for human classification.
ABSTRACT
Background: Herbal drugs used to treat illness according to Ayurveda are often misidentifi ed or adulterated with similar plant materials. Objective: To aid taxonomical identifi cation, we used DNA barcoding to evaluate authentic and substitute samples of herb and phylogenetic relationship of four medicinal plants of family Asparagaceace and Asclepiadaceae. Materials and Methods: DNA extracted from dry root samples of two authentic and two substitutes of four specimens belonging to four species were subjected to polymerase chain reaction (PCR) and DNA sequencing. Primers for nuclear DNA (nu ITS2) and plastid DNA (matK and rpoC1) were used for PCR and sequence analysis was performed by Clustal W. The intraspecifi c variation and interspecifi c divergence were calculated using MEGA V 4.0. Statistical Analysis: Kimura’s two parameter model, neighbor joining and bootstrapping methods were used in this work. Results: The result indicates the effi ciency of amplifi cation for ITS2 candidate DNA barcodes was 100% for four species tested. The average interspecifi c divergence is 0.12 and intraspecifi c variation was 0.232 in the case of two Asparagaceae species. In two Asclepiadaceae species, average interspecifi c divergence and intraspecifi c variation were 0.178 and 0.004 respectively. Conclusions: Our fi ndings show that the ITS2 region can effectively discriminate Asparagus racemosus and Hemidesmus indicus from its substitute samples and hence can resolve species admixtures in raw samples. The ITS2 region may be used as one of the standard DNA barcodes to identify closely related species of family Asclepiadaceae but was noninformative for Asparagaceae species suggesting a need for the development of new markers for each family. More detailed studies involving more species and substitutes are warranted.