Metabolomics study on the toxicity of Annona squamosa by ultraperformance liquid-chromatography high-definition mass spectrometry coupled with pattern recognition approach and metabolic pathways analysis

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• 作者：Yun-Jie Miao ^{yunjiemiao@163.com" class="auth_mail" title="E-mail the corresponding author} ; Ye-Ye Shi ^{1196200225@qq.com" class="auth_mail" title="E-mail the corresponding author} ; Fu-Qiang Li ^{1064635497@qq.com" class="auth_mail" title="E-mail the corresponding author} ; Chen-Xiao Shan ^{Thomastiger@163.com" class="auth_mail" title="E-mail the corresponding author} ; Yong Chen ^{achenyong@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Jian-Wei Chen ^{chenjw695@126.com" class="auth_mail" title="E-mail the corresponding author} ; Xiang Li ; ^{lixiang_8182@163.com" class="auth_mail" title="E-mail the corresponding author}
• 关键词：TCM ; traditional Chinese medicine ; SAS ; seeds of Annona squamosa Linn ; ACGs ; Annonaceous acetogenins ; UFLC ; ultra-flow liquid chromatogram ; QC ; quality control ; DBS ; dynamic background subtraction ; PLS-DA ; partial least squares discriminant analysis ; OPLS ; orthogonal projection to latent structures ; BPI ; based peak intensity ; RSD ; relative standard deviations ; VIP ; variable important plot ; KEGG ; Kyoto Encyclopedia of Genes and Genomes
• 刊名：Journal of Ethnopharmacology
• 出版年：2016
• 出版时间：26 May 2016
• 年：2016
• 卷：184
• 期：Complete
• 页码：187-195
• 全文大小：2717 K

文摘

Annona squamosa Linn (Annonaceae) is a commonly used and effective traditional Chinese medicine (TCM) especially in the South China. The seeds of Annona squamosa Linn (SAS) have been used as a folk remedy to treat “malignant sores” (cancer) in South of China, but they also have high toxicity on human body.

Aim of the study

To discover the potential biomarkers in the mice caused by SAS.

Materials and methods

We made metabonomics studies on the toxicity of SAS by ultraperformance liquid-chromatography high-definition mass spectrometry coupled with pattern recognition approach and metabolic pathways analysis.

Results

The significant difference in metabolic profiles and changes of metabolite biomarkers between the Control group and SAS group were well observed. 11 positive ions and 9 negative ions (P<0.05) were indicated based on UFLC-QTOF-HDMS. The metabolic pathways of SAS group are discussed according to the identified endogenous metabolites, and eight metabolic pathways are identified using Kyoto Encyclopedia of Genes and Genomes (KEGG).

Conclusions

The present study demonstrates that metabonomics analysis could greatly facilitate and provide useful information for the further comprehensive understanding of the pharmacological activity and potential toxicity of SAS in the progress of them being designed to a new anti-tumor medicine.