Literature DB >> 23541933

Myocardial lipidomics profiling delineate the toxicity of traditional Chinese medicine Aconiti Lateralis radix praeparata.

Yamei Cai1, Yue Gao, Guangguo Tan, Si Wu, Xin Dong, Ziyang Lou, Zhenyu Zhu, Yifeng Chai.   

Abstract

ETHNOPHARMACOLOGICAL RELEVANCE: The lateral root of Aconitum has been popularly used in traditional Chinese medicine (TMC) known as Fuzi which is beneficial for the treatment of various diseases, such as rheumatism, painful joints, syncope and bronchial asthma. However, it has a potential carditoxicity with a relatively narrow margin of safety. AIM OF THE STUDY: This paper was designed to explore the mechanisms of Fuzi's toxicity and find out potential tissue-specific biomarkers of toxic effects.
MATERIAL AND METHODS: A myocardial lipidomics based on ultraperformance lipid chromatography coupled with quadrupole-time-of-flight mass spectrometry (UHPLC/Q-TOF MS) was developed to compare three cardiac lipid extraction methods and investigate the changes of lipids in mice heart of three different dosage groups. In addition, we concurrently inspected the biochemical parameters in plasma, observed the histology of the heart and recorded the electrocardiogram (ECG).
RESULTS: The cardiotoxicity of Fuzi was dose-dependent, and the high-dose group obviously manifested the heart damage in histology and a certain degree of arrhythmia. Significant changes of 14 lipid metabolites which primarily involved in phospholipid metabolism, sphingolipid metabolism, saturated fatty acid oxidation and unsaturated fatty acid peroxidation were identified and considered as the potential biomarkers of Fuzi toxicity.
CONCLUSION: The lipidomics approach is helpful to search potential tissue-specific biomarkers and understand the underlying mechanisms of Fuzi toxicity on the heart.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

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Year:  2013        PMID: 23541933     DOI: 10.1016/j.jep.2013.03.017

Source DB:  PubMed          Journal:  J Ethnopharmacol        ISSN: 0378-8741            Impact factor:   4.360


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