Journal
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
Volume 229, Issue -, Pages -Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ecoenv.2021.113098
Keywords
Arsenic; Carcinogenic mechanism; Glucose metabolism; Lipid metabolism; Amino acid metabolism; Oxidative stress
Categories
Funding
- National Natural Science Foundation of China [82022063, 81573187]
- National Key R&D Program of China [2018YFC1311600]
- Key R&D Plan Guidance Project [2018225098]
- Department of Science and Technology of Liaoning Province, China
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Chronic exposure to arsenic is associated with various cancers, with metabolic reprogramming being a key mechanism. Research has primarily focused on glucose reprogramming induced by arsenic exposure. Apart from enhanced glycolysis, arsenic may also disrupt lipid deposition and induce one-carbon metabolism pathway.
Chronic exposure to arsenic has been associated with a variety of cancers with the mechanisms undefined. Arsenic exposure causes alterations in metabolites in bio-samples. Recent research progress on cancer biology suggests that metabolic reprogramming contributes to tumorigenesis. Therefore, metabolic reprogramming provides a new clue for the mechanisms of arsenic carcinogenesis. In the present manuscript, we review the latest findings in reprogramming of glucose, lipids, and amino acids in response to arsenic exposure. Most studies focused on glucose reprogramming and found that arsenic exposure enhanced glycolysis. However, in vivo studies observed reverse Warburg effect in some cases due to the complexity of the disease evolution and microenvironment. Arsenic exposure has been reported to disturb lipid deposition by inhibiting lipolysis, and induce serine-glycine one-carbon pathway. As a dominant mechanism for arsenic toxicity, oxidative stress is considered to link with metabolism reprogramming. Few studies analyzed the causal relationship between metabolic reprogramming and arsenic-induced cancers. Metabolic alterations may vary with exposure doses and periods. Identifying metabolic alterations common among humans and experiment models with human-relevant exposure characteristics may guide future investigations.
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