Sensitive Detection of Genotoxic Substances in Complex Food Matrices by Multiparametric High-Content Analysis
Pengxia Gao, Zhi Li, Mengqiang Gong, Bo Ma, Hua Xu, Lili Wang, Jianwei Xie

TL;DR
A new method detects harmful DNA-damaging substances in foods like coffee and spinach with high accuracy.
Contribution
A multiparametric high-content analysis method for genotoxicity screening in complex food matrices is introduced.
Findings
The assay measures γ-H2AX, p-H3, and RAD51 biomarkers to enhance genotoxicity detection sensitivity.
Five food matrices did not interfere with biomarker detection when properly diluted.
The method distinguishes genotoxic compounds by their mode of action and cellular response.
Abstract
Genotoxic substances widely exist in the environment and the food supply, posing serious health risks due to their potential to induce DNA damage and cancer. Traditional genotoxicity assays, while valuable, are limited by insufficient sensitivity, specificity, and efficiency, particularly when applied to complex food matrices. This study introduces a multiparametric high-content analysis (HCA) for the detection of genotoxic substances in complex food matrices. The developed assay measures three genotoxic biomarkers, including γ-H2AX, p-H3, and RAD51, which enhances the sensitivity and accuracy of genotoxicity screening. Moreover, the assay effectively distinguishes genotoxic compounds with different modes of action, which not only offers a more comprehensive assessment of DNA damage and the cellular response to genotoxic stress but also provides new insights into the exploration of…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsMolecular Biology Techniques and Applications · Carcinogens and Genotoxicity Assessment · bioluminescence and chemiluminescence research
