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Updated: Jul 16, 2025

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS
Published on: March 14, 2013
Identification of Xenobiotic Biotransformation Products Using Mass Spectrometry-Based Metabolomics Integrated with a
Yuan-Chih Chen1, Hsin-Yi Wu2, Wei-Sheng Wu3
1Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan.
Abstract:
The identification of xenobiotic biotransformation products is crucial for delineating toxicity and carcinogenicity that might be caused by xenobiotic exposures and for establishing monitoring systems for public health. However, the lack of available reference standards and spectral data leads to the generation of multiple candidate structures during identification and reduces the confidence in identification. Here, a UHPLC-HRMS-based metabolomics strategy integrated with a metabolite structure elucidation approach, namely, FragAssembler, was proposed to reduce the number of false-positive structure candidates. biotransformation product candidates were filtered by mass defect filtering (MDF) and multiple-group comparison. FragAssembler assembled fragment signatures from the MS/MS spectra and generated the modified moieties corresponding to the identified biotransformation products. The feasibility of this approach was demonstrated by the three biotransformation products of di(2-ethylhexyl)phthalate (DEHP). Comprehensive identification was carried out, and 24 and 13 biotransformation products of two xenobiotics, DEHP and 4'-Methoxy-α-pyrrolidinopentiophenone (4-MeO-α-PVP), were annotated, respectively. The number of 4-MeO-α-PVP biotransformation product candidates in the FragAssembler calculation results was approximately 2.1 times lower than that generated by BioTransformer 3.0. Our study indicates that the proposed approach has great potential for efficiently and reliably identifying xenobiotic biotransformation products, which is attributed to the fact that FragAssembler eliminates false-positive reactions and chemical structures and distinguishes modified moieties on isomeric biotransformation products. The FragAssembler software and associated tutorial are freely available at https://cosbi.ee.ncku.edu.tw/FragAssembler/ and the source code can be found at https://github.com/YuanChihChen/FragAssembler.
Insights
This study introduces FragAssembler, a new computational approach to accurately identify xenobiotic biotransformation products. This method significantly reduces false positives, improving the reliability of toxicity and public health monitoring.
Area of Science:
- Environmental Chemistry
- Toxicology
- Computational Chemistry
Background:
- Accurate identification of xenobiotic biotransformation products is vital for assessing toxicity and carcinogenicity.
- Current methods often yield numerous false-positive candidates due to limited reference standards and spectral data.
Purpose of the Study:
- To develop and validate a robust strategy for the reliable identification of xenobiotic biotransformation products.
- To reduce the number of false-positive structure candidates in xenobiotic metabolism studies.
Main Methods:
- Utilized a UHPLC-HRMS-based metabolomics strategy integrated with the FragAssembler software for metabolite structure elucidation.
- Employed mass defect filtering (MDF) and multiple-group comparison for initial candidate filtering.
- FragAssembler assembled MS/MS spectral signatures to generate modified moieties of biotransformation products.
Main Results:
- Successfully identified 24 and 13 biotransformation products for di(2-ethylhexyl)phthalate (DEHP) and 4'-Methoxy-α-pyrrolidinopentiophenone (4-MeO-α-PVP), respectively.
- FragAssembler reduced the number of 4-MeO-α-PVP biotransformation product candidates by approximately 2.1 times compared to BioTransformer 3.0.
- Demonstrated the feasibility and efficiency of the approach using DEHP biotransformation products.
Conclusions:
- The proposed UHPLC-HRMS and FragAssembler integrated approach offers an efficient and reliable method for identifying xenobiotic biotransformation products.
- FragAssembler effectively eliminates false-positive reactions and structures, distinguishing modified moieties on isomeric products.
- This advancement holds significant potential for public health monitoring and toxicological assessments.
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