ArticleEnvironmental health perspectives2020
Metabolomic and Transcriptomic Analysis of MCF-7 Cells Exposed to 23 Chemicals at Human-Relevant Levels: Estimation of Individual Chemical Contribution to Effects.
Article in Environmental health perspectives, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 53 citations in OpenAlex.
- Multifaceted mechanisms by which environmental endocrine-disrupting chemicals promote cancer progression: crosstalk among carcinogenesis, immunity, and metabolic reprogramming: narrative mini-review.Frontiers in molecular biosciences · 2026Review
- Microbiome-targeted nanoplatforms and engineering approaches in breast cancer therapy.Molecular cancer · 2025Review
- Metabolomics integrated genomics approach: Understanding multidrug resistance phenotype in MCF-7 breast cancer cells exposed to doxorubicin and ABCA1/EGFR/PI3k/PTEN crosstalk.Toxicology reports · 2025Article
- Supramolecular solvents: a gateway to all-in-one extractions in chemical exposomics.Analytical and bioanalytical chemistry · 2025Review
- Microbial Therapy and Breast Cancer Management: Exploring Mechanisms, Clinical Efficacy, and Integration within the One Health Approach.International journal of molecular sciences · 2024Review
- Invisible Hand behind Female Reproductive Disorders: Bisphenols, Recent Evidence and Future Perspectives.Toxics · 2023Review
- Endocrine-disrupting compounds and metabolomic reprogramming in breast cancer.Journal of biochemical and molecular toxicology · 2023Review
- Metabolic Alteration of MCF-7 Cells upon Indirect Exposure toMetabolites · 2023Article
- HExpPredict:Environmental health perspectives · 2023Article
- The host transcriptome change involved in the inhibitory effect of exogenous interferon-γ on Getah virus replication.Frontiers in microbiology · 2023Article
- Exposome in human health: Utopia or wonderland?Innovation (Cambridge (Mass.)) · 2021Review
- Defining the Scope of Exposome Studies and Research Needs from a Multidisciplinary Perspective.Environmental science & technology letters · 2021Review
- Risk-Based Chemical Ranking and Generating a Prioritized Human Exposome Database.Environmental health perspectives · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHumans are constantly being exposed to various xenobiotics at relatively low concentrations. To date, limited evidence is available to ascertain whether a complex xenobiotic mixture at human-relevant levels causes any health effect. Moreover, there is no effective method to pinpoint the contribution of each chemical toward such an effect.
objectivesThis study aims to understand the responses of cells to a mixture containing 23 xenobiotics at human-relevant levels and develop a feasible method to decipher the chemical(s) that contribute significantly to the observed effect.
methodsWe characterized the metabolome and transcriptome of breast cancer cells (MCF-7) before and after exposure to the mixture at human-relevant levels; preexposure levels were derived from existing large-scale biomonitoring data. A high-throughput metabolomics-based "leave-one-out" method was proposed to understand the relative contribution of each component by comparing the metabolome with and without the particular chemical in the mixture.
resultsThe metabolomic analysis suggested that the mixture altered metabolites associated with cell proliferation and oxidative stress. For the transcriptomes, gene ontology terms and pathways including "cell cycle," "cell proliferation," and "cell division" were significantly altered after mixture exposure. The mixture altered genes associated with pathways such as "genotoxicity" and "nuclear factor erythroid 2-related factor 2 (Nrf2)." Through joint pathways analysis, metabolites and genes were observed to be well-aligned in pyrimidine and purine metabolisms. The leave-one-out results showed that many chemicals made their contributions to specific metabolic pathways. The overall metabolome pattern of the absence of 2,4-dihyroxybenzophenone (DHB) or bisphenol A (BPA) showed great resemblance to controls, suggesting their higher relative contribution to the observed effect. DISCUSSION: The omics results showed that exposure to the mixture at human-relevant levels can induce significant
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.