基础医学与临床 ›› 2026, Vol. 46 ›› Issue (1): 63-70.doi: 10.16352/j.issn.1001-6325.2026.01.0063

• 研究论文 • 上一篇    下一篇

他汀类药物治疗冠心病效果的粪便代谢组学特征

李若宁, 许良, 赵迎春, 邵冀青, 居博伟*   

  1. 新疆医科大学第五附属医院 药学部,新疆 乌鲁木齐 830000
  • 收稿日期:2025-01-14 修回日期:2025-04-29 出版日期:2026-01-05 发布日期:2025-12-29
  • 通讯作者: *17726860519@163.com
  • 基金资助:
    新疆维吾尔自治区自然科学基金(2022D01C579);新疆医科大学大学生创新创业训练计划(S202310760062);新疆医科大学第五临床医学院(第五附属医院)国家自然科学基金启航项目(XYDWFY-GQH-2024-19);新疆维吾尔自治区2023年第二批天山英才培养计划青年托举人才项目(2023TSYCQNTJ0025)

Characteristics of fecal metabolomics about therapeutic effects of statins for coronary heart disease

LI Ruoning, XU Liang, ZHAO Yingchun, SHAO Jiqing, JU Bowei*   

  1. Department of Pharmacy, the Fifth Affiliated Hospital of Xinjiang Medical University,Urumqi 830000,China
  • Received:2025-01-14 Revised:2025-04-29 Online:2026-01-05 Published:2025-12-29
  • Contact: *17726860519@163.com

摘要: 目的 探索粪便代谢组学特征与他汀类药物治疗效果之间的关系。方法 收集60例接受他汀类药物治疗的冠心病患者的粪便样本,根据治疗后低密度脂蛋白(LDL)水平是否低于1.9 mmol/L,将患者分为治疗有效组(30例)和治疗无效组(30例)。对粪便样本进行非靶向代谢组学和靶向短链脂肪酸测序,并对测序结果进行数据分析。结果 主成分分析(PCA)显示治疗有效组与治疗无效组之间存在显著差异。差异分析发现,在正离子模式和负离子模式下共有319个离子在两组间显著不同。富集分析表明,牛磺酸和次牛磺酸代谢、核黄素代谢、脂肪酸代谢等多个通路被富集。基于113个诊断模型,筛选出对治疗有效性预测能力最强的前10个模型,其中Prilocaine、Glufosinate和His-Gly-His在所有模型中均表现出较高的预测能力曲线下面积[(AUC)均大于0.6]。Prilocaine和His-Gly-His在治疗有效组中的水平显著高于治疗无效组,而Glufosinate在治疗有效组中的水平则较低(P<0.05)。此外,短链脂肪酸测序结果显示丙酸和丁酸在治疗有效组中的水平显著低于治疗无效组(P<0.01)。相关性分析显示丙酸和丁酸与Prilocaine呈负相关,与His-Gly-His呈正相关。结论 他汀类药物治疗效果与粪便代谢组学特征之间的关联,尤其是Prilocaine、Glufosinate和His-Gly-His等代谢物的水平变化可能受到短链脂肪酸的调控,并对治疗效果具有预测价值。

关键词: 冠心病, 他汀类药物, 肠道代谢物, 短链脂肪酸

Abstract: Objective To explore the relationship between fecal metabolomics characteristics and the therapeutic effects of statins. Methods Fecal samples were collected from 60 patients with coronary heart disease undergoing statin therapy. Based on whether their low-density lipoprotein (LDL) level were below 1.9 mmol/L after treatment, the patients were divided into an effective treatment group and ineffective treatment group with 30 cases in each. Non-targeted metabolomics and targeted short-chain fatty acid sequencing were performed with the fecal samples and the sequencing results were analyzed. Results Principal Component Analysis (PCA) showed significant differences between the effective and ineffective treatment groups. Differential analysis identified 319 ions significantly different between the two groups in positive ion mode and negative ion mode. Enrichment analysis indicated that several pathways including taurine and hypotaurine metabolism, riboflavin metabolism, and fatty acid metabolism were enriched. Based on 113 diagnostic models, the top 10 models with the best predictive ability for treatment efficacy were selected, with Prilocaine, Glufosinate, and His-Gly-His showing the highest predictive capability across all models [area under the curve(AUC>0.6)]. The level of Prilocaine and His-Gly-His was higher in effective treatment group while the level of Glufosinate was lower in the effective treatment group (P<0.05). Additionally, short-chain fatty acid sequencing results showed that the level of Butyric acid and Propionic acid were significantly lower in the effective treatment group (P<0.01). Butyric acid and Propionic acid were negatively correlated with Prilocaine and positively correlated with His-Gly-His. Conclusions The association between the efficacy of statins therapy and fecal metabolomics characteristics highlights the predictive value of changes in metabolite level such as Prilocaine, Glufosinate, and His-Gly-His which are potentially regulated by short-chain fatty acids.

Key words: coronary heart disease, statins, intestinal metabolites, short chain fatty acids

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