Evidence map›Paper›PMID 40531193›Full record

ArticleArchives of toxicology2025

High-throughput transcriptomics analysis of equipotent and human relevant mixtures of BPA alternatives reveal additive effects in vitro.

Geronimo Matteo, Eunnara Cho, Marc Rigden, David C Eickmeyer, Lauren M Bradford, Matthew J Meier, Andrew Williams, J Christopher Corton, Carole L Yauk, Ella Atlas

Abstract read
In one paragraph

Article in Archives of toxicology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Geronimo MatteoEnvironmental Health Science and Research Bureau, Health Canada, Ottawa, Canada.ORCID 0000-0003-0819-4471
Eunnara ChoEnvironmental Health Science and Research Bureau, Health Canada, Ottawa, Canada.ORCID 0000-0001-9942-0053
Marc RigdenEnvironmental Health Science and Research Bureau, Health Canada, Ottawa, Canada.
David C EickmeyerDepartment of Biology, University of Ottawa, Ottawa, Canada.ORCID 0000-0001-5434-2565
Lauren M BradfordEnvironmental Health Science and Research Bureau, Health Canada, Ottawa, Canada.ORCID 0000-0003-0686-1648
Matthew J MeierEnvironmental Health Science and Research Bureau, Health Canada, Ottawa, Canada.ORCID 0000-0001-8199-8754
Andrew WilliamsEnvironmental Health Science and Research Bureau, Health Canada, Ottawa, Canada.ORCID 0000-0002-7637-7686
J Christopher CortonCenter for Computational Toxicology and Exposure, US Environmental Protection Agency, Research Triangle Park, USA.ORCID 0000-0002-6197-2036
Carole L YaukDepartment of Biology, University of Ottawa, Ottawa, Canada. carole.yauk@uottawa.ca.ORCID 0000-0002-6725-3454
Ella AtlasEnvironmental Health Science and Research Bureau, Health Canada, Ottawa, Canada. ella.atlas@hc-sc.gc.ca.ORCID 0000-0003-4410-4402

Funding

Canada Research Chair CRC-2020-00060Canadian Foundation for Innovation 233109Ontario Research Fund 40569
6 · The paper itself

Abstract

While many jurisdictions have phased out use of bisphenol A (BPA), there is increasing exposure to mixtures of BPA alternatives. Like BPA, some alternatives perturb nuclear hormone receptors and are endocrine disruptors. We used high-throughput transcriptomics (HTTr) to evaluate the potency and modes of action of seven mixtures of BPA alternatives and their 12 individual components in breast cancer cells. Our aim was to explore whether alternatives present in mixtures act additively. MCF-7 cells were exposed to chemicals (0.001-50 µM) for 48 h and gene expression analysis was used to measure global and estrogen receptor alpha (ERα)-specific transcriptomic changes. Transcriptomic points of departure (tPODs) were derived using benchmark concentration (BMC) modelling. We first identified concentrations at which global transcriptional activity was robustly altered. Then, we applied a ERα transcriptomic biomarker to identify ERα agonists and predict ERα activation tPODs. We employed mixtures modeling to predict potency of BPA alternatives and test for additive effects in vitro. Ingenuity pathway analysis (IPA; Qiagen) was used to identify upstream regulators and canonical pathways from genes fitting BMCs. BPAF was the most potent individual chemical tested overall, followed by BPA and BPC. All seven mixtures had additive effects across all tPODs modeled. The ERα transcriptomic biomarker classified all mixtures as ERα activators along with several BPA alternatives. All mixtures and most individual components perturbed similar upstream regulators and pathways, suggesting common modes of action. These data support the value of HTTr in identifying additive effects and toxicological potency of mixtures in vitro.

Indexed as

Benzhydryl CompoundsEndocrine DisruptorsPhenolsTranscriptomeBisphenol A CompoundsDose-Response Relationship, DrugEstrogen Receptor alphaFemaleGene Expression ProfilingHigh-Throughput Screening AssaysHumansMCF-7 CellsBenzhydryl Compoundsbisphenol ABisphenol A CompoundsEndocrine DisruptorsESR1 protein, humanEstrogen Receptor alphaPhenolsEndocrine disruptorMixturesPotencyRegulatory toxicologyTranscriptomics

Identifiers

PMID40531193
PMCPMC12408750

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Registered trials

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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.