Use of ¹³C-NMR Chemical Shifts; Application of Principal Component Analysis for Categorizing Structurally Similar Methoxyflavones and Correlation Analysis between Chemical Shifts and Cytotoxicity

Abstract

The ¹³C-NMR spectral data for the 15-carbon flavonoid skeleton in eleven methoxyflavones isolated from Kaempferia parviflora (Zingiberaceae) were processed by principal component analysis (PCA). Based on the PCA score plots, the methoxyflavones were categorized into three groups according to their structural features. The cytotoxicities of the methoxyflavones toward 3T3-L1 murine preadipocyte cells were evaluated by 3-(4,5-dimethylthiazole-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium (MTT) assay and found to differ according to structure. The relationship between the ¹³C-NMR chemical shifts of the methoxyflavones and their cytotoxicities was investigated using Pearson’s correlation analysis. The ¹³C-NMR signal at C-10, a quaternary carbon, was correlated with cytotoxicity. Based on these results, a structural design which lowers the ¹³C-NMR chemical shift at C-10 would be important for the development of cytotoxic compounds. Although quantitative structure–activity and structure–property relationships are well established paradigms for predicting trends among a series of compounds, quantitative property–activity relationships have been relatively unstudied. This approach offers a new strategy for directing structure–activity relationship research.

Graphical Abstract