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Integrated metabolomics and network pharmacology revealing the mechanism of arsenic-induced hepatotoxicity in mice.
Wang, Yazhi; Cheng, Weina; Wang, Xiaoning; He, Tianmu; Liu, Jingxian; Chen, Shuangshuang; Zhang, Jianyong.
Affiliation
  • Wang Y; Department of Pharmaceutical Analysis, School of Pharmacy, Zunyi Medical University, Zunyi, 563000, China.
  • Cheng W; Department of Pharmaceutical Analysis, School of Pharmacy, Zunyi Medical University, Zunyi, 563000, China.
  • Wang X; Department of Pharmaceutical Analysis, School of Pharmacy, Zunyi Medical University, Zunyi, 563000, China.
  • He T; School of Basic Medical Sciences, Zunyi Medical University, Zunyi, 563000, China; School of Basic Medical Sciences, Guizhou Medical University, Guiyang, 550025, China.
  • Liu J; School of Basic Medical Sciences, Zunyi Medical University, Zunyi, 563000, China.
  • Chen S; Department of Pharmaceutical Analysis, School of Pharmacy, Zunyi Medical University, Zunyi, 563000, China.
  • Zhang J; Department of Pharmaceutical Analysis, School of Pharmacy, Zunyi Medical University, Zunyi, 563000, China. Electronic address: zhangjianyong2006@126.com.
Food Chem Toxicol ; 178: 113913, 2023 Aug.
Article de En | MEDLINE | ID: mdl-37348806
ABSTRACT
Endemic arsenic (As) poisoning is a severe biogeochemical disease that endangers human health. Epidemiological investigations and animal experiments have confirmed the damaging effects of As on the liver, but there is an urgent need to investigate the underlying mechanisms. This study adopted a metabolomic approach using UHPLC-QE/MS to identify the different metabolites and metabolic mechanisms associated with As-induced hepatotoxicity in mice. A network pharmacology approach was applied to predict the potential target of As-induced hepatotoxicity. The predicted targets of differential metabolites were subjected to a deep matching for elucidating the integration mechanisms. The results demonstrate that the levels of ALT and AST in plasma significantly increased in mice after As exposure. In addition, the liver tissue showed disorganized liver lobules, lax cytoplasm and inflammatory cell infiltration. Metabolomic analysis revealed that As exposure caused disturbance to 40 and 75 potential differential metabolites in plasma and liver, respectively. Further investigation led to discovering five vital metabolic pathways, including phenylalanine, tyrosine, and tryptophan biosynthesis and nicotinate and nicotinamide metabolism pathways. These pathways may responded to As-induced hepatotoxicity primarily through lipid metabolism, apoptosis, and deoxyribonucleic acid damage. The network pharmacology suggested that As could induce hepatotoxicity in mice by acting on targets including Hsp90aa1, Akt2, Egfr, and Tnf, which regulate PI3K Akt, HIF-1, MAPK, and TNF signaling pathways. Finally, the integrated metabolomics and network pharmacology revealed eight key targets associated with As-induced hepatoxicity, namely DNMT1, MAOB, PARP1, MAOA, EPHX2, ANPEP, XDH, and ADA. The results also suggest that nicotinic acid and nicotinamide metabolisms may be involved in As-induced hepatotoxicity. This research identified the metabolites, targets, and mechanisms of As-induced hepatotoxicity, offering meaningful insights and establishing the groundwork for developing antidotes for widespread As poisoning.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Arsenic / Médicaments issus de plantes chinoises / Lésions hépatiques dues aux substances Limites: Animals / Humans Langue: En Journal: Food Chem Toxicol Année: 2023 Type de document: Article Pays d'affiliation: Chine

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Arsenic / Médicaments issus de plantes chinoises / Lésions hépatiques dues aux substances Limites: Animals / Humans Langue: En Journal: Food Chem Toxicol Année: 2023 Type de document: Article Pays d'affiliation: Chine