中国组织工程研究 ›› 2026, Vol. 30 ›› Issue (36): 9621-9631.doi: 10.12307/2026.900

• 组织工程相关大数据分析 Big data analysis in tissue engineering • 上一篇    下一篇

祛湿解毒方治疗小鼠高尿酸血症:UHPLC-QE-MS整合网络药理学的机制分析

林  锟1,何宪顺1,张俊娇1,韩明丽1,何敏聪2,3,魏秋实2,3   

  1. 1广州中医药大学第三临床医学院,广东省广州市  510006;2广州中医药大学第三附属医院关节中心,广东省广州市  510378;3广东省中医骨伤研究院,广东省广州市  510378
  • 收稿日期:2025-09-29 修回日期:2026-03-06 出版日期:2026-12-28 发布日期:2026-05-26
  • 通讯作者: 魏秋实,主任医师,中医学、中西医结合医学骨科双博士后,博士生导师,博士后合作导师,广州中医药大学第三附属医院关节中心,广东省广州市 510378;广东省中医骨伤研究院,广东省广州市 510378
  • 作者简介:林锟,男,1998年生,广东省汕头市人,汉族,硕士,主要从事中医药防治骨关节疾病的基础和临床研究。
  • 基金资助:
    国家自然科学基金面上项目(82274544),项目负责人:魏秋实;广东省自然科学基金面上项目(2023A1515010551),项目负责人:魏秋实

Mechanism underlying Qu Shi Jie Du Formula for treating hyperuricemia in mice: an analysis integrating UHPLC-QE-MS with network pharmacology

Lin Kun1, He Xianshun1, Zhang Junjiao1, Han Mingli1, He Mincong2, 3, Wei Qiushi2, 3   

  1. 1Third Clinical School of Medicine, Guangzhou University of Chinese Medicine, Guangzhou 510006, Guangdong Province, China; 2Joint Center, the Third Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510378, Guangdong Province, China; 3Guangdong Institute of Chinese Medicine and Orthopedics, Guangzhou 510378, Guangdong Province, China
  • Received:2025-09-29 Revised:2026-03-06 Online:2026-12-28 Published:2026-05-26
  • Contact: Wei Qiushi, Chief physician, PhD, Doctoral supervisor, Postdoctoral co-supervisor, Joint Center, the Third Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510378, Guangdong Province, China; Guangdong Institute of Chinese Medicine and Orthopedics, Guangzhou 510378, Guangdong Province, China
  • About author:Lin Kun, MS, Third Clinical School of Medicine, Guangzhou University of Chinese Medicine, Guangzhou 510006, Guangdong Province, China
  • Supported by:
    National Natural Science Foundation of China (General Program), No. 82274544 (to WQS); Guangdong Provincial Natural Science Foundation (General Program), No. 2023A1515010551 (to WQS) 

摘要:



文题释义:
超高液相色谱-四级杆静电场轨道阱质谱技术:通过频率测量质荷比的方式,可以得到超高分辨率碎片离子的精确质量,具有在超高分辨率条件下测定环境污染物精确相对分子质量的功能,借助同位素离子的丰度比来推断有机污染物元素组成,通过一级、二级谱库的匹配对复杂基质中未知组分进行筛选和确证。该技术成为当今复杂体系(尤其是生命科学、制药、环境等领域)中化合物分离、鉴定、定性和定量分析的黄金标准工具之一。
高尿酸血症:是由嘌呤代谢障碍导致的一种慢性代谢性疾病,可以分为原发性和继发性两类。原发性高尿酸血症主要由尿酸排泄减少或生成增多引起,而继发性高尿酸血症是由某些系统性疾病或服用某些药物抑制尿酸排泄引起。

背景:祛湿解毒方是基于“湿毒态”病机理论防治高尿酸血症-痛风的临床经验方,具祛湿解毒、舒筋活络之效,但其作用机制尚未明确。
目的:探讨祛湿解毒方对高尿酸血症小鼠的治疗作用及骨保护机制。 
方法:①采用超高效液相色谱-四级杆静电场轨道阱质谱技术确定祛湿解毒方的成分,利用相关数据库查询这些成分对高尿酸血症的作用靶点基因集;通过网络药理学分析获得祛湿解毒方治疗高尿酸血症的潜在核心靶点,对核心靶点进行KEGG富集分析及GO功能分析。②将40只Balb/c小鼠随机分为空白对照组、模型组、别嘌醇组、祛湿解毒方组、别嘌醇祛湿解毒方联用组,每组8只。除空白对照组外,其余4组建立高尿酸血症模型,造模28 d后,空白对照组、模型组灌胃给予羧甲基纤维素钠,别嘌醇组灌胃给予别嘌醇,祛湿解毒方组灌胃给予祛湿解毒方,别嘌醇祛湿解毒方联用组灌胃给予祛湿解毒方与别嘌醇,每天1次,连续给药4周。末次给药6 h后取材,测定血清中尿酸、血清肌酐、血尿素氮、Ⅰ型前胶原氨基端前肽、Ⅰ型胶原羧基端交联端肽、骨钙素水平,苏木精-伊红与天狼猩红染色观察肾组织病理,Micro-CT分析膝关节骨量,抗酒石酸酸性磷酸酶染色观察膝关节破骨细胞数量,免疫荧光染色观察肾脏中p53、葡萄糖转运蛋白9以及膝关节c-JUN表达。Pearson分析Micro-CT参数与c-JUN蛋白荧光强度之间的相关性。
结果与结论:①鉴定出了75个祛湿解毒方的有效成分,排名靠前的是姜黄素、槲皮素、芹菜素、大豆异黄酮、染料木素,获得198个预测靶点,核心靶点是TP53、肿瘤坏死因子、白细胞介素6、JUN、白细胞介素1B、核因子κB1,这些核心靶点主要富集在p53、缺氧诱导因子1、核因子kB等信号通路。②血清检测结果显示,祛湿解毒方可降低高尿酸血症小鼠的肾功能指标(尿酸、血清肌酐、血尿素氮)与骨代谢指标(Ⅰ型前胶原氨基端前肽、Ⅰ型胶原羧基端交联端肽)。苏木精-伊红与天狼猩红染色显示,祛湿解毒方对高尿酸血症小鼠肾脏具有保护作用。Micro-CT扫描与抗酒石酸酸性磷酸酶染色显示,祛湿解毒方可提升高尿酸血症小鼠胫骨下骨量、减少膝关节破骨细胞数量。免疫荧光染色显示,祛湿解毒方可降低尿酸血症小鼠肾脏中p53、葡萄糖转运蛋白9表达以及膝关节中c-JUN表达。Pearson分析显示,小鼠膝关节骨小梁分离度与c-JUN蛋白荧光强度呈显著正相关(r > 0,P < 0.05),骨体积分数、骨小梁数目与c-JUN蛋白荧光强度呈显著负相关(r < 0,
P < 0.05)。③结果表明,祛湿解毒方活性分子共同作用通过调控p53/葡萄糖转运蛋白9对高尿酸血症小鼠发挥降酸、护肾疗效,通过c-JUN/激活蛋白1调控破骨细胞活性缓解高尿酸血症小鼠的骨流失。
https://orcid.org/0009-0009-2494-9038(林锟)


中国组织工程研究杂志出版内容重点:干细胞;骨髓干细胞;造血干细胞;脂肪干细胞;肿瘤干细胞;胚胎干细胞;脐带脐血干细胞;干细胞诱导;干细胞分化;组织工程

关键词: 祛湿解毒方, 高尿酸血症, 液相色谱-质谱联用, 蓄毒理论, 网络药理学, 骨保护机制

Abstract: BACKGROUND: Qu Shi Jie Du Formula (QSJDF) is a clinical empirical prescription for preventing and treating hyperuricemia and gout based on the “dampness-toxin accumulation” theory. It exerts effects of eliminating dampness, detoxifying, and relaxing tendons and collaterals. However, its underlying mechanism remains unclear.
OBJECTIVE: To investigate the therapeutic effects and bone protection mechanism of QSJDF in hyperuricemia mice.
METHODS: (1) The chemical constituents of QSJDF were identified using ultra-high performance liquid chromatography – Q-Exactive mass spectrometry. Target genes of these components related to hyperuricemia were retrieved from relevant databases. Core targets for QSJDF in treating hyperuricemia were identified via network pharmacology and subjected to Kyoto Encyclopedia of Genes and Genomes pathway enrichment and Gene Ontology functional annotation. (2) Forty Balb/c mice were randomly divided into five groups (n=8 per group): blank control, model, allopurinol, QSJDF, and QSJDF + allopurinol combination. Except for the blank control group, hyperuricemia models were established. After 28 days of modeling, mice received daily intragastric administration for 4 weeks: blank control and model groups received sodium carboxymethyl cellulose; allopurinol group received allopurinol; QSJDF group received QSJDF; combination group received both QSJDF and allopurinol. Samples were collected 6 hours after the final dose. Serum levels of uric acid, creatinine, blood urea nitrogen, procollagen type I N-terminal propeptide, C-terminal telopeptide of type I collagen, and osteocalcin were measured. Renal pathology was observed using hematoxylin-eosin and Sirius Red staining. Bone mass of the knee joint was analyzed by Micro-CT. Osteoclast numbers were assessed via tartrate-resistant acid phosphatase staining. Immunofluorescence staining was performed to detect p53 and glucose transporter 9 in renal tissue and c-JUN expression in knee joints. Pearson correlation analysis was used to evaluate relationships between Micro-CT parameters and c-JUN fluorescence intensity.
RESULTS AND CONCLUSION: (1) A total of 75 active components were identified in QSJDF, with the top ones being curcumin, quercetin, apigenin, soy isoflavones, and genistein. A total of 198 predicted targets were obtained, with core targets including TP53, tumor necrosis factor, interleukin-6, JUN, interleukin-1B, and nuclear factor-KB1, mainly enriched in p53, hypoxia-inducible factor-1, and nuclear factor-κB signaling pathways. (2) Serum assays showed that QSJDF reduced renal function indicators (uric acid, creatinine, blood urea nitrogen) and bone metabolism indicators (procollagen type I N-terminal propeptide and C-terminal telopeptide of type I collagen) in hyperuricemia mice. Hematoxylin-eosin and Sirius Red staining demonstrated renal protective effects. Micro-CT and tartrate-resistant acid phosphatase staining revealed increased tibial bone mass and reduced osteoclast numbers. Immunofluorescence showed decreased expression of p53 and glucose transporter 9 in the kidney and c-JUN in the knee joint. Pearson analysis indicated a significant positive correlation between trabecular separation and c-JUN fluorescence intensity (r > 0, P < 0.05), while bone volume fraction and trabecular number were significantly negatively correlated with c-JUN fluorescence intensity (r < 0, P < 0.05). To conclude, QSJDF exerts urate-lowering and renal protective effects by regulating the p53/glucose transporter 9 pathway and alleviates bone loss by modulating c-JUN/activating protein 1 signaling to influence osteoclast activity in hyperuricemia mice


Key words: Qu Shi Jie Du Formula, hyperuricemia, liquid chromatography-mass spectrometry, toxin accumulation theory, network pharmacology, bone protection mechanism

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