Work

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

Year: 2026

Type: article

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.

Source: Food Chemistry X

DOI: 10.1016/j.fochx.2026.103646

Authors: Huangqu Zhu, Kaili Zhou, Yuanzhi Li, Qingqiong Zhou, Mingjun Peng, Xinlan Wu, Xinwu Mao, Qiaoyuan Yang

Institutions: Guangzhou Medical University, Third Affiliated Hospital of Guangzhou Medical University

Language: English

Topic: Carcinogens and Genotoxicity Assessment

Subfield: Cancer Research

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDGs: Good health and well-being, Zero hunger

Open Access status: gold

Estimated APC paid: $2,330

Funders: Natural Science Foundation of Guangdong Province, Scientific Research Fund of Liaoning Provincial Education Department

Awards: G7764442688, G8933364774

OpenAlex ID: W7128393149

FWCI: 2.723

Cites: 34

Cited by: 1

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