Antineoplastic Effects of Mucuna pruriens Against Human Colorectal Adenocarcinoma.

Mucuna pruriens (MP) which is commonly known as "Velvet Bean" is an underutilized legume traditionally used to treat Parkinson's disease and male fertility issues. Extracts of MP have also been identified for their antidiabetic, antioxidant, and antineoplastic effects. Commonly, the antioxidant and anticancer properties of a drug are linked together as antioxidants scavenge free radicals and prevent the cellular DNA damage which could result in cancer development. In this investigation, comparative assessment of the anticancer and antioxidant potentials of methanolic seed extracts from two common varieties of MP, Mucuna pruriens var. pruriens (MPP) and Mucuna pruriens var. utilis (MPU) against human colorectal cancer adenocarcinoma cells COLO-205, was carried out. The highest antioxidant potential was recorded with MPP with an IC50 of 45.71 µg/ml. The in vitro antiproliferative effects of MPP and MPU on COLO-205 showed an IC50 of 131.1 µg/ml and 246.9 µg/ml respectively. Our results revealed intervention of the MPP and MPU extracts in growth kinetics of the COLO-205 cells in concomitance with apoptosis induction up to 8.73- and 5.58-folds respectively. The AO/EtBr dual staining and the flow cytometry results also confirmed the better apoptotic efficacy of MPP over MPU. MPP at a concentration of 160 µg/ml exhibited highest apoptosis and cell cycle arrest. Furthermore, effect of the seed extracts on p53 expression was investigated by quantitative RT-PCR and a maximum upregulation of 1.12-fold was recorded with MPP.

Optimization of Crude Oil and PAHs Degradation by Stenotrophomonas rhizophila KX082814 Strain through Response Surface Methodology Using Box-Behnken Design.

The present paper describes the process optimization study for crude oil degradation which is a continuation of our earlier work on hydrocarbon degradation study of the isolate Stenotrophomonas rhizophila (PM-1) with GenBank accession number KX082814. Response Surface Methodology with Box-Behnken Design was used to optimize the process wherein temperature, pH, salinity, and inoculum size (at three levels) were used as independent variables and Total Petroleum Hydrocarbon, Biological Oxygen Demand, and Chemical Oxygen Demand of crude oil and PAHs as dependent variables (response). The statistical analysis, via ANOVA, showed coefficient of determination R2 as 0.7678 with statistically significant P value 0.0163 fitting in second-order quadratic regression model for crude oil removal. The predicted optimum parameters, namely, temperature, pH, salinity, and inoculum size, were found to be 32.5°C, 9, 12.5, and 12.5 mL, respectively. At this optimum condition, the observed and predicted PAHs and crude oil removal were found to be 71.82% and 79.53% in validation experiments, respectively. The % TPH results correlate with GC/MS studies, BOD, COD, and TPC. The validation of numerical optimization was done through GC/MS studies and % removal of crude oil.