School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, China.
School of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, China.
J Pharm Biomed Anal. 2019 Jul 15;171:180-192. doi: 10.1016/j.jpba.2019.04.009. Epub 2019 Apr 8.
The pathology of cholestatic liver injury (CLI) was complicated, which has limited the development of anti-cholestatic drugs for a long period. Metabolomic researches focused on global and dynamic changes of the organism could shed some light on mechanism investigation. In order to characterize and validate metabolite alterations of alpha-naphthylisothiocyanate (ANIT) induced CLI in C57BL/6 mice, a systemic metabolomic approach combining nontargeted HPLC-ESI-QTOF-MS and targeted UFLC-ESI-MS/MS technologies were developed innovatively. Multivariate data analysis was applied to determine the changes of metabolites in processed plasma and liver samples between control and model groups. Afterwards, 38 potential plasma biomarkers and 17 potential liver biomarkers involved in bile acid (BA) biosynthesis, phospholipid biosynthesis, sphingolipid metabolism, alpha linolenic acid and linoleic acid metabolism, as well as arachidonic acid metabolism were found and attributed as potential biomarkers and influential pathways of cholestasis. Based on correlation analysis, BA biosynthesis played the most important role in ANIT induced CLI, thereinto, major BAs were carried out with quantitative analysis. Targeted metabolomic results showed that the increase of BAs might have an impact on intestinal microbial ecology which could aggravate liver injury probably, among which cholic acid (CA) and taurocholic acid (TCA) were the most sensitive indicators of ANIT induced CLI in both plasma and liver. In conclusion, CLI might correlate significantly with hepatocyte necrosis, metabolic disorders and imbalance of intestinal microbiome ecology triggered by BA accumulation.
胆汁淤积性肝损伤(CLI)的病理机制复杂,长期以来一直限制了抗胆汁淤积药物的发展。代谢组学研究侧重于机体的全局和动态变化,这可能有助于探讨其发病机制。为了描述和验证α-萘基异硫氰酸酯(ANIT)诱导的 C57BL/6 小鼠 CLI 的代谢物变化,我们创新性地开发了一种结合非靶向 HPLC-ESI-QTOF-MS 和靶向 UFLC-ESI-MS/MS 技术的系统代谢组学方法。采用多变量数据分析确定对照组和模型组处理后血浆和肝样品中代谢物的变化。随后,发现了 38 个潜在的血浆生物标志物和 17 个潜在的肝脏生物标志物,涉及胆汁酸(BA)生物合成、磷脂生物合成、鞘脂代谢、α-亚麻酸和亚油酸代谢以及花生四烯酸代谢,这些生物标志物和代谢途径可能是胆汁淤积的潜在生物标志物和影响因素。基于相关性分析,BA 生物合成在 ANIT 诱导的 CLI 中起着最重要的作用,其中主要的 BAs 进行了定量分析。靶向代谢组学结果表明,BA 的增加可能会影响肠道微生物生态,从而可能加重肝损伤,其中在血浆和肝脏中,胆酸(CA)和牛磺胆酸(TCA)是最敏感的 ANIT 诱导 CLI 指标。总之,CLI 可能与肝细胞坏死、代谢紊乱以及 BA 积累引起的肠道微生物生态失衡密切相关。