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基于代谢组学和血清药物化学的益肾固络合剂治疗慢性肾小球肾炎的有效成分及作用机制

[Effective substances and mechanism of Yishen Guluo Mixture in treatment of chronic glomerulonephritis based on metabolomics and serum pharmacochemistry].

作者信息

Bian Zhen-Hua, Zhang Wen-Ming, Tang Jing-Yue, Fei Qian-Qian, Hu Min-Min, Chen Xiao-Wei, Yuan Xiao-Hang, Lu Tu-Lin

机构信息

Department of Pharmacy, Wuxi Traditional Chinese Medicine Hospital Affiliated to Nanjing University of Chinese Medicine Wuxi 214071, China.

College of Pharmacy, Nanjing University of Chinese Medicine Nanjing 210023, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2023 Jan;48(2):492-506. doi: 10.19540/j.cnki.cjcmm.20220905.705.

Abstract

This study aimed to investigate the effective substances and mechanism of Yishen Guluo Mixture in the treatment of chronic glomerulonephritis(CGN) based on metabolomics and serum pharmacochemistry. The rat model of CGN was induced by cationic bovine serum albumin(C-BSA). After intragastric administration of Yishen Guluo Mixture, the biochemical indexes related to renal function(24-hour urinary protein, serum urea nitrogen, and creatinine) were determined, and the efficacy evaluations such as histopathological observation were carried out. The serum biomarkers of Yishen Guluo Mixture in the treatment of CGN were screened out by ultra-performance liquid chromatography-quadrupole time-of-flight/mass spectrometry(UPLC-Q-TOF-MS) combined with multivariate statistical analysis, and the metabolic pathways were analyzed. According to the mass spectrum ion fragment information and metabolic pathway, the components absorbed into the blood(prototypes and metabolites) from Yishen Guluo Mixture were identified and analyzed by using PeakView 1.2 and MetabolitePilot 2.0.4. By integrating metabolomics and serum pharmacochemistry data, a mathematical model of correlation analysis between serum biomarkers and components absorbed into blood was constructed to screen out the potential effective substances of Yishen Guluo Mixture in the treatment of CGN. Yishen Guluo mixture significantly decreased the levels of 24-hour urinary protein, serum urea nitrogen, and creatinine in rats with CGN, and improved the pathological damage of the kidney tissue. Twenty serum biomarkers of Yishen Guluo Mixture in the treatment of CGN, such as arachidonic acid and lysophosphatidylcholine, were screened out, involving arachidonic acid metabolism, glycerol phosphatide metabolism, and other pathways. Based on the serum pharmacochemistry, 8 prototype components and 20 metabolites in the serum-containing Yishen Guluo Mixture were identified. According to the metabolomics and correlation analysis of serum pharmacochemistry, 12 compounds such as genistein absorbed into the blood from Yishen Guluo Mixture were selected as the potential effective substances for the treatment of CGN. Based on metabolomics and serum pharmacochemistry, the effective substances and mechanism of Yishen Guluo Mixture in the treatment of CGN are analyzed and explained in this study, which provides a new idea for the development of innovative traditional Chinese medicine for the treatment of CGN.

摘要

本研究旨在基于代谢组学和血清药物化学探讨益肾固精合剂治疗慢性肾小球肾炎(CGN)的有效物质及作用机制。采用阳离子牛血清白蛋白(C-BSA)诱导大鼠CGN模型。给予益肾固精合剂灌胃后,测定与肾功能相关的生化指标(24小时尿蛋白、血清尿素氮和肌酐),并进行组织病理学观察等疗效评价。通过超高效液相色谱-四极杆飞行时间质谱联用(UPLC-Q-TOF-MS)结合多元统计分析筛选出益肾固精合剂治疗CGN的血清生物标志物,并分析代谢途径。根据质谱离子碎片信息和代谢途径,利用PeakView 1.2和MetabolitePilot 2.0.4对益肾固精合剂吸收入血的成分(原型和代谢产物)进行鉴定和分析。通过整合代谢组学和血清药物化学数据,构建血清生物标志物与吸收入血成分的相关性分析数学模型,筛选出益肾固精合剂治疗CGN的潜在有效物质。益肾固精合剂显著降低CGN大鼠24小时尿蛋白、血清尿素氮和肌酐水平,改善肾组织病理损伤。筛选出益肾固精合剂治疗CGN的20种血清生物标志物,如花生四烯酸和溶血磷脂酰胆碱等,涉及花生四烯酸代谢、甘油磷脂代谢等途径。基于血清药物化学,鉴定出益肾固精合剂含药血清中的8种原型成分和20种代谢产物。根据代谢组学和血清药物化学相关性分析,从益肾固精合剂中吸收入血的12种化合物如染料木黄酮等被选为治疗CGN的潜在有效物质。本研究基于代谢组学和血清药物化学分析并阐释了益肾固精合剂治疗CGN的有效物质及作用机制,为CGN治疗创新中药的研发提供了新思路。

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