Exposure to Heavy Metals: Advances in Cytotoxicity and Genotoxicity
A special issue of Biology (ISSN 2079-7737). This special issue belongs to the section "Toxicology".
Deadline for manuscript submissions: 31 May 2025 | Viewed by 62
Special Issue Editor
Special Issue Information
Dear Colleagues,
With the rapid development of industrial production, a significant volume of the heavy metals generated by human activities during urbanization and industrialization are released into the atmosphere, water, soil, and crops; these can exist in the environment for a long time and threaten ecological conditions and human health. Various acute and chronic diseases caused by heavy metal exposure can cause multiple organ system injuries, including nephrotoxicity, bone injury, neurotoxicity, cardiovascular injury, diabetes and cancer. Research on the biomarkers for heavy metal exposure has mainly been based on the development of metabolomics and other analytical methods, but there remains a lack of authoritative new indicators. Therefore, determining the total level of exposure in the human environment, elucidating the molecular mechanisms underlying the absorption, accumulation, and toxic effects of heavy metals in organisms, and understanding their interactions with biomolecules is crucial for the management and control of heavy metal pollution. In addition, based on the current research status, we believe that future research on heavy metal complex toxicity should pay greater attention to its environmental relevance, introduce novel detection technologies and bioinformatics analysis methods, and further explore the physical, chemical, and biological mechanisms of heavy metal complex toxicity. This Special Issue welcomes the submission of papers addressing these topics, especially those combining a high academic standard with a practical focus on the latest detection techniques and biomarkers.
Dr. Qianru Chi
Guest Editor
Manuscript Submission Information
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Keywords
- heavy metal pollutants
- exposure assessment
- toxic mechanism
- biomarkers
- metabolomics
- environmental quality monitoring
- bioinformatics analysis methods
