Journal Article

Drug Metabolite Cluster-Based Data-Mining Method for Comprehensive Metabolism Study of 5-hydroxy-6,7,3′,4′-tetramethoxyflavone in Rats

Mei, Xiaodan, Liu, Zihan, Wang, Yuqi, Lang, Shuang, Dai, Long, Li, Jie, Zhang, Xiaoxin, Zhang, Jiayu

2019

Overview

The screening of drug metabolites in biological matrixes and structural characterization based on product ion spectra is among the most important, but also the most challenging due to the significant interferences from endogenous species. Traditionally, metabolite detection is accomplished primarily on the basis of predicted molecular masses or fragmentation patterns of prototype drug metabolites using ultra-high performance liquid chromatography coupled with high-resolution mass spectrometry (UHPLC-HRMS). Although classical techniques are well-suited for achieving the partial characterization of prototype drug metabolites, there is a pressing need for a strategy to enable comprehensive drug metabolism depiction. Therefore, we present drug metabolite clusters (DMCs), different from, but complementary to, traditional approaches for mining the information regarding drugs and their metabolites on the basis of raw, processed, or identified tandem mass spectrometry (MS/MS) data. In this paper, we describe a DMC-based data-mining method for the metabolite identification of 5-hydroxy-6,7,3′,4′-tetramethoxyflavone (HTF), a typical hydroxylated-polymethoxyflavonoid (OH-PMF), which addressed the challenge of creating a thorough metabolic profile. Consequently, eight primary metabolism clusters, sixteen secondary metabolism clusters, and five tertiary metabolism clusters were proposed and 106 metabolites (19 potential metabolites included) were detected and identified positively and tentatively. These metabolites were presumed to generate through oxidation (mono-oxidation, di-oxidation), methylation, demethylation, methoxylation, glucuronidation, sulfation, ring cleavage, and their composite reactions. In conclusion, our study expounded drug metabolites in rats and provided a reference for further research on therapeutic material basis and the mechanism of drugs.

• Publisher: MDPI AG,MDPI
• Subject: 5-hydroxy-6,7,3′,4′-tetramethoxyflavone (HTF) / Animals / Chromatography, High Pressure Liquid / Data Mining / data-mining methods / Datasets / Demethylation - drug effects / drug metabolite clusters (DMCs) / Drugs / Flavones - metabolism / Flavones - pharmacology / Humans / Hydroxylation - drug effects / Hydroxylation - genetics / Identification / Mass spectrometry / Metabolism / Metabolites / Metabolome - drug effects / Metabolome - genetics / Methods / Methylation - drug effects / Oxidation-Reduction - drug effects / Rats / Scientific imaging / Tandem Mass Spectrometry / ultra-high performance liquid chromatography coupled with high-resolution mass spectrometry