4.5 Article

LC/MS/MS-Based Liver Metabolomics to Identify Chronic Liver Injury Biomarkers Following Exposure to Arsenic in Rats

期刊

BIOLOGICAL TRACE ELEMENT RESEARCH
卷 200, 期 10, 页码 4355-4369

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SPRINGERNATURE
DOI: 10.1007/s12011-021-03026-0

关键词

Arsenic; Liver injury; Metabonomics; LC/MS/MS

资金

  1. National Natural Science Foundation of China [81860561, 81430077, U1812403, 82160649]

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This study investigated the potential biomarkers and metabolic pathways of arsenic-induced liver injury using a metabolomic approach. The results showed significantly increased levels of arsenic, ALT, ALP, and TBA in the livers of rats treated with arsenic, along with histological evidence of liver damage. Metabolomic analysis identified 109 significantly altered metabolites and several metabolic pathways, providing potential evidence for the early diagnosis and prevention of arsenism.
Arsenic is a widespread natural metalloid element. Long-term chronic exposure to arsenic can lead to different degrees of liver injury. Although the etiology of this disease is well known, to date, the underlying mechanism of arsenic-induced liver injury remains unclear, and no specific treatment exists because of the complexity of arsenic. In the present study, potential biomarkers and metabolic pathways in the livers of Wistar rats treated with arsenic for 24 weeks were investigated using an integrated metabolic approach with an LC-Orbitrap Q Exactive (TM) HF-X mass spectrometer. Markedly increased liver levels of arsenic, alanine aminotransferase (ALT), alkaline phosphatase (ALP), and total bile acid (TBA) were detected in the arsenic treatment groups (P < 0.05). Furthermore, histopathological examination of liver tissues showed obviously swollen, loose cytoplasm and increased necrosis in the arsenic treatment groups compared with those in the control group (P < 0.05). Metabonomics results showed that 109 metabolites (variable importance in the projection (VIP) > 1; fold change > 2 or < 0.5; P adjusted < 0.05) changed significantly after exposure to arsenic and included 71 upregulated metabolites and 38 downregulated metabolites. Additionally, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis showed that 6 metabolic pathways with statistical significance-phenylalanine metabolism, pyruvate metabolism, glycolysis/gluconeogenesis, citrate cycle (TCA cycle), thiamine metabolism, and vitamin B6 metabolism-were selected, and 13 differential metabolites were detected to be involved in regulating these metabolic pathways. The present study could help identify potential biomarkers and their functions, as well as metabolic pathways, likely providing evidence for the early diagnosis, prevention, and mechanistic study of arsenism.

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