Journal of Traditional and Complementary Medicine (Apr 2019)
In silico validation of the indigenous knowledge of the herbal medicines among tribal communities in Sathyamangalam wildlife sanctuary, India
Abstract
The ethno-botanical documentation among ethnic people in Sathyamangalam wildlife sanctuary, Tamil Nadu, India has been investigated for the first time. A total of 61 medicinal plants having new combination uses were reported with adjuvant in the treatment of dermatological, Genitourinary and gastrointestinal ailments. This study could help in the recovery and conservation of traditional medicine system among educated generation. The present study was aimed to: (1) documentation of the traditional knowledge (2) quantitative analysis using Use value (UV), Informant consensus factor (ICF), Index of agreement on remedies (IAR), Relative frequency citation (RFC) and Cultural Importance index (CII) (3) validation of ethno-botanical data using in silico biological activity and toxicity prediction studies. Semi-structured direct interviews were conducted to acquire information from the study area tribes. Total of 89 tribes including both gender among various communities were interviewed and their ethno-botanical knowledge was documented. The data were assessed using ethno-botanical indices methods to estimate the consistency of usage herbal knowledge in various ailments. A total of 61 species were recorded for treatment of categorized ailments. The collected medicinal information from ethnic groups shows remarkable new usage of medicinal plants to particular ailments. Our comparative in silico studies also supported the traditional medicine results with correspondence to their bioactive. Traditional knowledge of ethnic people also linked to their culture and history. This study also infers the usage of traditional plant based medicine. Further research related to the bioactivities of reported plants should be encouraged to explore the importance in pharmaceutical industry. Keywords: Ailments, Documentation, In silico, Quantitative indices, Traditional knowledge