Machine learning prioritization of antibiotic residues in aquatic foods reveals exposure-driven genotoxic risk mediated by BCL2

Food Chemistry X 2026 Open access

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Authors: Huangqu Zhu, Kaili Zhou, Yuanzhi Li, Qingqiong ZHOU, Mingjun Peng, Xinlan Wu, Xinwu Mao, Qiaoyuan Yang
DOI: 10.1016/j.fochx.2026.103646
Cited by: 1
References: 34

Abstract

< 0.05). BCL2 overexpression significantly attenuated this damage (tail DNA% 2.90 ± 2.65%, p < 0.05), confirming its role as a key functional mediator. This surveillance-to-mechanism workflow provides a data-driven paradigm for identifying mechanistic biomarkers and prioritizing food safety interventions, surpassing traditional compliance-based monitoring.

Fields of Study & Subjects

Pharmaceutical and Antibiotic Environmental Impacts Carcinogens and Genotoxicity Assessment Effects and risks of endocrine disrupting chemicals

Publication details

Journal / source
Food Chemistry X
Publisher
Elsevier BV
Volume
34
Pages
103646–103646
Publication date
1 February 2026
Language
EN