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Omics · study · 2026

Integrative Toxicological and Transcriptomic Assessment of Chemicals Associated with Environmental and Human Biomonitoring Studies and Their Mixtures in Zebrafish

Listed in NCBI GEO

While most toxicity studies examine the effects of individual chemicals, humans are primarily exposed to chemicals as complex mixtures.

Description

Chemical interactions may occur, resulting in increased (additivity or synergy) or decreased (antagonism) toxicity. We selected chemicals common to both human and surface water biomonitoring studies for further investigation of individual chemical toxicity and mixture effects within a given subclass.

We defined the morphological and behavioral (via photomotor response) effects in zebrafish embryos exposed to 25 chemicals in four different subclasses (alkyl fluorides, diphenylmethanes, cyclopropanecarboxylic acid esters, and halobenzenes). We found there was no subclass in which all chemical members elicited the same developmental effects, and 12 of the 25 chemicals were morphologically inactive under our standardized conditions.

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By anchoring to the morphological effects of individual chemicals, we created mixtures of at least four components for two subclasses (diphenylmethanes and cyclopropanecarboxylic acid esters) in two formulations (equivalent proportion and equipotent). These two subclasses were selected due to a sufficient number of chemicals (four or more) having morphological effects. We then determined how the mixtures impacted zebrafish embryo development and the underlying transcriptional events.

The equipotent mixtures for both subclasses behaved synergistically, to differing degrees, while the equivalent proportion formulations did not. The diphenylmethane equivalent proportion mixture acted slightly antagonistically while its cyclopropanecarboxylic acid ester counterpart acted additively. The mixtures produced distinct transcriptional responses that were not the sum of the individual component responses as few differentially expressed genes (DEGs) were shared by all components and their respective mixtures within the same subclass.

DEGs unique to the mixture formulations indicate that mixture formulation influences toxicity and transcriptional responses, and the DEGs for each mixture were related to distinctly different processes. Our findings highlight the need for further experimentation prior to the implementation of a MAF as a default value, to better understand overall mixture behavior of chemicals of mixture risk concern and increase understanding of the influence that they have in different mixture formulations.

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Life Sciences
Provenance · 1 source records, 7 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE33669213 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[organism].NCBITaxon:7955source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title