Objective: To evaluate the potential immunostimulant activity of glucosamine from Azadirachtaindica leaves in mice. Methods: The hexane, chloroform, methanol and aqueous extracts of Azadirachta indica leaves were prepared and its immunostimulant activity was studied. The aqueous extract of Azadirachta indica leaves (AEAIL) showed significant (P<0.001) higher immunostimulant activity than other extracts. Hence, isolation of possible phytoconstituent(s) from AEAIL was carried out and glucosamine was isolated. The Azadirachta indica leaves glucosamine (AILG) was administered at 266, 400 and 800 μg/kg of mice, intraperitoneal route weekly for 4 weeks to evaluate immunostimulant activity. The serum interleukin-2 (IL-2) level and histopathological studies on thymus were performed to confirm AILG immunostimulant activity. Results: The administration of above doses of AILG has significantly (P<0.001) increased serum IL-2 levels in mice than control mice. The dose dependent effect on IL-2 was noticed in AILG treated mice. The weight of thymus, liver and kidney were significantly (P<0.001) increased after the AILG treatments compared to control mice. Also, body weight of AILG treated mice showed significant (P<0.001) increment from second week to fourth week than control mice. The proliferation of T-lymphocytes in thymus after the administration of AILG was observed in histopathological study. Conclusion: The glucosamine was isolated from Azadirachta indica leaves aqueous extract and its immunostimulant activity was confirmed in mice.

Human dentition is unique to individuals and helps in identification of individuals in forensic odontology. This study proposes to study the manually ground sections of single rooted teeth using digital methods for dental age estimation.To assess the dentinal translucency from the scanned digital images of manually ground section of teeth using commercially available image edition software. Corroborating the root dentinal translucency length and region of interest (ROI) of translucency zone in pixels (as a marker of dental age) with the chronological age of the subject, as stratified by different age groups. Twenty single-rooted extracted teeth from 20 patients each from 6 groups divided as per age. Manual sectioning of the teeth followed by scanning the sections was done. Root area in pixels and ROI of translucency zone were measured.From the observed values, translucency length percentage (TLP) and percentage of ROI in pixels (TPP) was calculated and tabulated. Pearson’s correlation coefficients were obtained for age with TLP and TPP. Positive correlation existed between age and TLP and also between age and TPP. With the obtained data, multilinear regression equations for specific age groups based on 10-year intervals were derived. By a step-down analysis method, age was estimated with an average error of around ±7.9 years. This study gives a novel method for age-estimation that can be applied in real-time forensic sciences.