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冠心七味滴丸改善动脉粥样硬化的作用机制。

The mechanism of Guanxin Qiwei dropping pills target to improve atherosclerosis.

作者信息

Liao Yuanhong, Li Jun, Li Yuxin, Liu Jing, Chen Tingting, Lu Jingkun, Li Hongxia, Zhang Qian, Wang Yuewu

机构信息

School of Pharmacy, Inner Mongolia Medical University, Hohhot, Inner Mongolia Autonomous Region, China.

New Drug Screening Engineering Research Center, Inner Mongolia Medical University, Hohhot, Inner Mongolia Autonomous Region, China.

出版信息

Front Pharmacol. 2025 Jul 1;16:1633862. doi: 10.3389/fphar.2025.1633862. eCollection 2025.


DOI:10.3389/fphar.2025.1633862
PMID:40667508
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12260407/
Abstract

OBJECTIVE: To investigate the therapeutic effects of Guanxin Qiwei dropping pills (GXQW) on atherosclerosis (AS) and to delineate the mechanisms underlying these effects. METHODS: First, the chemical constituents of GXQW were identified using liquid chromatography-mass spectrometry (LC-MS). In addition, 15 batches of GXQW were used for fingerprint determination. Subsequently, an ApoE mouse model of AS induced by a high-fat diet was established. Lipid deposition, plaque coverage, and collagen fiber content in the aortic arch were evaluated using Oil Red O, H&E, and Masson's trichrome staining, respectively. Enzyme-linked immunosorbent assay (ELISA) kits were employed to quantify serum oxidative stress markers, inflammatory cytokines, and lipid profiles. Additionally, fecal samples were subjected to 16S rRNA sequencing to investigate the effects of GXQW on intestinal dysbacteriosis. Differential gut microbiota were identified at the phylum-to-genus level. Furthermore, untargeted serum metabolomics was conducted to explore the potential metabolic pathways through which GXQW ameliorated AS. RESULTS: A total of 118 chemical constituents were identified in GXQW through database comparison. Compared to the model group, GXQW treatment attenuated lipid deposition and plaque coverage in the aortic arch and mitigated collagen depletion. Fingerprint analysis showed the consistency and stability of the quality of GXQW. Additionally, GXQW reduced total cholesterol (TC) and triglyceride (TG) levels, decreased the concentrations of inflammatory cytokines interleukin-6 (IL-6) and interleukin-1beta (IL-1β), suppressed malondialdehyde (MDA) activity, and elevated superoxide dismutase (SOD) levels. In terms of gut microbiota modulation, high-dose GXQW treatment promoted the abundance of and decreased , particularly the genus within . KEGG pathway enrichment analysis of serum metabolites revealed that pathways associated with lipid metabolism, including Glycerophospholipid metabolism, Citric acid cycle (TCA cycle), and Arachidonic acid metabolism, were notably enriched. P-cresol sulfate (PCS) and other metabolites were identified as the potential metabolic biomarkers underlying the therapeutic effects of GXQW on AS. The correlation analysis further demonstrated a significant positive correlation between and the aforementioned metabolites. CONCLUSION: The findings suggest that GXQW exerts evident therapeutic effects on AS by regulating gut microbiota and serum metabolic biomarkers.

摘要

目的:探讨冠心七味滴丸(GXQW)对动脉粥样硬化(AS)的治疗作用,并阐明其作用机制。 方法:首先,采用液相色谱 - 质谱联用(LC - MS)技术鉴定GXQW的化学成分。此外,使用15批次的GXQW进行指纹图谱测定。随后,建立高脂饮食诱导的ApoE小鼠AS模型。分别采用油红O、苏木精 - 伊红(H&E)和Masson三色染色法评估主动脉弓中的脂质沉积、斑块覆盖面积和胶原纤维含量。采用酶联免疫吸附测定(ELISA)试剂盒定量血清氧化应激标志物、炎性细胞因子和血脂谱。此外,对粪便样本进行16S rRNA测序,以研究GXQW对肠道菌群失调的影响。在门到属水平上鉴定差异肠道微生物群。此外,进行非靶向血清代谢组学研究,以探索GXQW改善AS的潜在代谢途径。 结果:通过数据库比对,在GXQW中鉴定出总共118种化学成分。与模型组相比,GXQW治疗减轻了主动脉弓中的脂质沉积和斑块覆盖面积,并减轻了胶原纤维的损耗。指纹图谱分析显示了GXQW质量的一致性和稳定性。此外,GXQW降低了总胆固醇(TC)和甘油三酯(TG)水平,并降低了炎性细胞因子白细胞介素 - 6(IL - 6)和白细胞介素 - 1β(IL - 1β)的浓度,抑制了丙二醛(MDA)活性,并提高了超氧化物歧化酶(SOD)水平。在肠道菌群调节方面,高剂量GXQW治疗促进了[具体菌群名称1]的丰度并降低了[具体菌群名称2],特别是[具体菌群名称2]中的[具体属名称]。血清代谢物的KEGG通路富集分析表明,与脂质代谢相关的通路,包括甘油磷脂代谢、柠檬酸循环(TCA循环)和花生四烯酸代谢,显著富集。对甲酚硫酸盐(PCS)和其他代谢物被鉴定为GXQW对AS治疗作用的潜在代谢生物标志物。相关性分析进一步表明[具体指标]与上述代谢物之间存在显著正相关。 结论:研究结果表明,GXQW通过调节肠道菌群和血清代谢生物标志物对AS具有明显的治疗作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48b/12260407/d5e72426a421/fphar-16-1633862-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48b/12260407/1c5f34a2fb7d/fphar-16-1633862-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48b/12260407/d03ad5e66614/fphar-16-1633862-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48b/12260407/b519caf44f09/fphar-16-1633862-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48b/12260407/2dc4600158cd/fphar-16-1633862-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48b/12260407/471727eaf9a0/fphar-16-1633862-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48b/12260407/3d94b7353e9d/fphar-16-1633862-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48b/12260407/c7b8d915dea9/fphar-16-1633862-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48b/12260407/482e1ebb3e69/fphar-16-1633862-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48b/12260407/70a35d9e6451/fphar-16-1633862-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48b/12260407/d5e72426a421/fphar-16-1633862-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48b/12260407/1c5f34a2fb7d/fphar-16-1633862-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48b/12260407/d03ad5e66614/fphar-16-1633862-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48b/12260407/b519caf44f09/fphar-16-1633862-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48b/12260407/2dc4600158cd/fphar-16-1633862-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48b/12260407/471727eaf9a0/fphar-16-1633862-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48b/12260407/3d94b7353e9d/fphar-16-1633862-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48b/12260407/c7b8d915dea9/fphar-16-1633862-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48b/12260407/482e1ebb3e69/fphar-16-1633862-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48b/12260407/70a35d9e6451/fphar-16-1633862-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48b/12260407/d5e72426a421/fphar-16-1633862-g010.jpg

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