中文版 | English
Title

Time-dependent metabolomics uncover dynamic metabolic adaptions in MCF-7 cells exposed to bisphenol A

Author
Corresponding AuthorFang, Mingliang
Publication Years
2023-01
DOI
Source Title
ISSN
2095-2201
EISSN
2095-221X
Volume17Issue:1
Abstract
The biochemical consequences induced by xenobiotic stress are featured in dose-response and time-resolved landscapes. Understanding the dynamic process of cellular adaptations is crucial in conducting the risk assessment for chemical exposure. As one of the most phenotype-related omics, metabolome in response to environmental stress can vary from seconds to days. Up to now, very few dynamic metabolomics studies have been conducted to provide time-dependent mechanistic interpretations in understanding xenobiotics-induced cellular adaptations. This study aims to explore the time-resolved metabolite dysregulation manner and dynamically perturbed biological functions in MCF-7 cells exposed to bisphenol A (BPA), a well-known endocrine-disrupting chemical. By sampling at 11 time points from several minutes to hours, thirty seven significantly dysregulated metabolites were identified, ranging from amino acids, fatty acids, carboxylic acids and nucleoside phosphate compounds. The metabolites in different pathways basically showed distinct time-resolved changing patterns, while those within the common class or same pathways showed similar and synchronized dysregulation behaviors. The pathway enrichment analysis suggested that purine metabolism, pyrimidine metabolism, aminoacyl-tRNA biosynthesis as well as glutamine/glutamate (GABA) metabolism pathways were heavily disturbed. As exposure event continued, MCF-7 cells went through multiple sequential metabolic adaptations from cell proliferation to energy metabolism, which indicated an enhancing cellular requirement for elevated energy homeostasis, oxidative stress response and ER-α mediated cell growth. We further focused on the time-dependent metabolite dysregulation behavior in purine and pyrimidine metabolism, and identified the impaired glycolysis and oxidative phosphorylation by redox imbalance. Lastly, we established a restricted cubic spline-based model to fit and predict metabolite’s full range dysregulation cartography, with metabolite’ sensitivity comparisons retrieved and novel biomarkers suggested. Overall, the results indicated that 8 h BPA exposure leaded to global dynamic metabolome adaptions including amino acid, nucleoside and sugar metabolism disorders, and the dysregulated metabolites with interfered pathways at different stages are of significant temporal distinctions. [Figure not available: see fulltext.].

© 2023, Higher Education Press.

Keywords
Indexed By
SCI ; EI
Language
English
SUSTech Authorship
Others
Funding Project
This work is supported by Singapore Ministry of Education Academic Research Fund Tier 1 (No. 04MNP000567C120) and Startup Grant of Fudan University (No. JIH 1829010Y).
WOS Research Area
Engineering ; Environmental Sciences & Ecology
WOS Subject
Engineering, Environmental ; Environmental Sciences
WOS Accession No
WOS:000837676100001
Publisher
EI Accession Number
20223312559733
EI Keywords
Amino acids ; Biochemistry ; Biomolecules ; Cell proliferation ; Endocrine disrupters ; Fatty acids ; Maps ; Metabolism ; Phenols ; Risk assessment
ESI Classification Code
Surveying:405.3 ; Health Care:461.7 ; Biology:461.9 ; Biochemistry:801.2 ; Organic Compounds:804.1 ; Accidents and Accident Prevention:914.1
Data Source
EV Compendex
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/395683
DepartmentSchool of Environmental Science and Engineering
Affiliation
1.School of Civil and Environmental Engineering, Nanyang Technological University, Singapore; 639798, Singapore
2.Nanyang Environment & Water Research Institute, Nanyang Technological University, Singapore; 637141, Singapore
3.School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen; 518055, China
4.Department of Environmental Science and Engineering, Fudan University, Shanghai; 200433, China
Recommended Citation
GB/T 7714
Zhao, Haoduo,Liu, Min,Yang, Junjie,et al. Time-dependent metabolomics uncover dynamic metabolic adaptions in MCF-7 cells exposed to bisphenol A[J]. Frontiers of Environmental Science & Engineering,2023,17(1).
APA
Zhao, Haoduo,Liu, Min,Yang, Junjie,Chen, Yuyang,&Fang, Mingliang.(2023).Time-dependent metabolomics uncover dynamic metabolic adaptions in MCF-7 cells exposed to bisphenol A.Frontiers of Environmental Science & Engineering,17(1).
MLA
Zhao, Haoduo,et al."Time-dependent metabolomics uncover dynamic metabolic adaptions in MCF-7 cells exposed to bisphenol A".Frontiers of Environmental Science & Engineering 17.1(2023).
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