The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Heavy Metal Poisoning and Cardiovascular Disease
Open accessAbstract
Cardiovascular disease (CVD) is an increasing world health problem. Traditional risk factors fail to account for all deaths from CVD. It is mainly the environmental, dietary and lifestyle behavioral factors that are the control keys in the progress of this disease. The potential association between chronic heavy metal exposure, like arsenic, lead, cadmium, mercury, and CVD has been less well defined. The mechanism through which heavy metals act to increase cardiovascular risk factors may act still remains unknown, although impaired antioxidants metabolism and oxidative stress may play a role. However, the exact mechanism of CVD induced by heavy metals deserves further investigation either through animal experiments or through molecular and cellular studies. Furthermore, large-scale prospective studies with follow up on general populations using appropriate biomarkers and cardiovascular endpoints might be recommended to identify the factors that predispose to heavy metals toxicity in CVD. In this review, we will give a brief summary of heavy metals homeostasis, followed by a description of the available evidence for their link with CVD and the proposed mechanisms of action by which their toxic effects might be explained. Finally, suspected interactions between genetic, nutritional and environmental factors are discussed.
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Cited by
Clinical and molecular aspects of lead toxicity: An update
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Metadata
- Authors
- Alissa, E. M., & Ferns, G. A.
- Venue
- Journal of Toxicology
- Publisher
- Wiley
- Published
- 2011
- Volume
- 2011
- Pages
- 1-21
- ISSN
- 1687-8191 (ISSN-L)
- 1687-8205
- OpenAlex
- W2116656434
- Cited by
- 491
- References
- 14
- FWCI
- 10.07
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
