ArticleMolecules (Basel, Switzerland)2018
Rapid Screening and Identification of Daidzein Metabolites in Rats Based on UHPLC-LTQ-Orbitrap Mass Spectrometry Coupled with Data-Mining Technologies.
Article in Molecules (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed.
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- Antitrypanosomal, Antitopoisomerase-I, and Cytotoxic Biological Evaluation of Some African Plants Belonging to Crassulaceae; Chemical Profiling of Extract Using UHPLC/QTOF-MS/MS.Molecules (Basel, Switzerland) · 2022Article
- Distribution and metabolism of daidzein and its benzene sulfonatesFrontiers in pharmacology · 2022Article
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- Identification of Metabolites of Aurantio-Obtusin in Rats Using Ultra-High-Performance Liquid Chromatography-Q-Exactive Orbitrap Mass Spectrometry with Parallel Reaction Monitoring.Journal of analytical methods in chemistry · 2021Article
- Metabolic profile analysis ofRSC advances · 2019Article
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- A Complete Study of Farrerol Metabolites Produced in Vivo and in Vitro.Molecules (Basel, Switzerland) · 2019Article
- Rapid Screening of Forskolin-Type Diterpenoids ofMolecules (Basel, Switzerland) · 2019Article
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- Screening the Marker Components inInternational journal of molecular sciences · 2018Article
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Authors and funding
7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Daidzein, the main bioactive soy isoflavone in Nature, has been found to possess many biological functions. It has been investigated in particular as a phytoestrogen owing to the similarity of its structure with that of the human hormone estrogen. Due to the lack of comprehensive studies on daidzein metabolism, further research is still required to clarify its in vivo metabolic fate and intermediate processes. In this study, an efficient strategy was established using UHPLC-LTQ-Orbitrap mass spectrometry to profile the metabolism of daidzein in rats. Meanwhile, multiple data-mining methods including high-resolution extracted ion chromatogram (HREIC), multiple mass defect filtering (MMDF), neutral loss fragment (NLF), and diagnostic product ion (DPI) were utilized to investigate daidzein metabolites from the HR-ESI-MS¹ to ESI-MS
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