Prediction of cyclooxygenase inhibitory activity of curcuma rhizome from chromatograms by multivariate analysis.
The potential use of partial least square regression (PLS-R) models for the prediction of biological activities of a herbal drug based on its liquid chromatography (LC) profile was verified using various extracts of Curcuma phaeocaulis and their cyclooxygenase-2 (COX-2) inhibitory activities as the model experiment. The correlation of practically measured inhibitory activities and predicted values by PLS-R analysis was quite good (correlation coefficient=0.9935) and the possibility of transforming chromatographic information into a measure of biological activity was confirmed. In addition, furanodienone and curcumenol were identified as the major active anti-inflammatory constituents of C. phaeocaulis, through detailed analysis of the regression vector, followed by isolation of these compounds and their COX-2 inhibitory assays. The selectivity indices (SI), IC(50) of COX-1/IC(50) of COX-2, of both compounds were higher than that of indomethacin and it is considered that furanodienone and curcumenol are the most promising compounds as lead anti-inflammatory agents.
Tanaka
Ken
K
Division of Pharmacognosy, Department of Medicinal Resources, Institute of Natural Medicine, University of Toyama, Toyama, Japan.
Kuba
Yoshiaki
Y
Ina
Atsutoshi
A
Watanabe
Hiroshi
H
Komatsu
Katsuko
K
D002853:Chromatography, Liquid; D030024:Curcuma / Q000737:chemistry*; D016861:Cyclooxygenase Inhibitors / Q000032:analysis*; D016018:Least-Squares Analysis; D015999:Multivariate Analysis; D010936:Plant Extracts / Q000032:analysis; D027343:Rhizome / Q000737:chemistry*
D016861:Cyclooxygenase Inhibitors; D010936:Plant Extracts