基于透皮化学与网络药理学探讨舒肺贴膏治疗慢性阻塞性肺疾病的潜在活性成分及作用机制

Potential active ingredients and mechanisms of Shufeitie ointment in the treatment of chronic obstructive pulmonary disease by integrating transdermal chemistry and network pharmacology.

作者信息

Sun Jianing, Zhang Di, Wang Panpan, Shi Junhan, Xue Tan, Zhang Panpan, Wang Qi, Gui Xinjing, Li Suyun, Li Jiansheng, Li Xuelin, Liu Ruixin

机构信息

Department of Pharmacy, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, China.

School of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, Henan, China.

出版信息

Front Med (Lausanne). 2025 Jul 8;12:1605372. doi: 10.3389/fmed.2025.1605372. eCollection 2025.

Abstract

PURPOSE

This study aims to identify the transdermal penetration components of Shufeitie ointment (SFTOT) and investigate the potential active components and mechanisms through which SFTOT exerts its effects on Chronic Obstructive Pulmonary Disease (COPD).

METHODS

An permeation test (IVPT) of SFTOT was conducted using a modified Franz diffusion cell method. Ultra-high-performance liquid chromatography-quadrupole/electrostatic field orbitrap high-resolution mass spectrometry (UHPLC-Q-Orbitrap/MS) was employed to analyze data from the transdermal receiving solution, enabling comprehensive identification of the components that permeate through the skin. To predict the potential mechanisms by which SFTOT may treat COPD, network pharmacology was used to construct a component-target-collaterals network. Additionally, molecular docking was applied to verify the interactions between the potential transdermal active components of SFTOT and the core targets.

RESULTS

Using UHPLC-Q-Orbitrap/MS, we identified 129 transdermal permeation components in SFTOT. Network pharmacology analysis revealed 222 common targets between SFTOT and COPD. The primary active components were predicted to be luteolin, kaempferol, quercetin, 7-O-methylluteolin, apigenin, ferulic acid, palmitic acid, inapinic acid, 6-shogaol, and myristic acid. These components were primarily enriched in the AGE-RAGE, TNF, PI3K-Akt, and MAPK signaling pathways. Protein-protein interaction (PPI) analysis identified TNF, ALB, AKT1, EGFR, and CASP3 as core targets. Molecular docking results showed that 72% of component-target interactions had a binding energy of < -5.0 kcal/mol, indicating strong binding activity. Among these, apigenin exhibited the lowest binding energy with EGFR and consistently lower binding energies with other core targets compared to the other components. This suggests that apigenin may play a key role in treatment.

CONCLUSION

High-resolution liquid chromatography-mass spectrometry effectively identified the transdermal penetration components of SFTOT, providing a foundation for further screening of key active compounds. Our findings suggest that SFTOT may alleviate COPD by downregulating TNF, ALB, AKT1, EGFR, and CASP3 while inhibiting inflammatory mediator release through the AGE-RAGE, TNF, PI3K-Akt, and MAPK signaling pathways. These effects may help reduce COPD-related symptom clusters. Notably, apigenin appears to be a crucial bioactive component in the prevention and treatment of COPD.

摘要

目的

本研究旨在确定舒肺贴膏(SFTOT)的透皮渗透成分,并研究其对慢性阻塞性肺疾病(COPD)发挥作用的潜在活性成分及机制。

方法

采用改良的Franz扩散池法对SFTOT进行体外透皮试验(IVPT)。运用超高效液相色谱-四极杆/静电场轨道阱高分辨率质谱(UHPLC-Q-Orbitrap/MS)分析透皮接收液数据,全面鉴定透过皮肤的成分。为预测SFTOT治疗COPD的潜在机制,利用网络药理学构建成分-靶点-经络网络。此外,应用分子对接验证SFTOT潜在透皮活性成分与核心靶点之间的相互作用。

结果

通过UHPLC-Q-Orbitrap/MS,我们鉴定出SFTOT中的129种透皮渗透成分。网络药理学分析显示SFTOT与COPD之间有222个共同靶点。预测主要活性成分有木犀草素、山柰酚、槲皮素、7-O-甲基木犀草素、芹菜素、阿魏酸、棕榈酸、异壬酸、6-姜辣素和肉豆蔻酸。这些成分主要富集于AGE-RAGE、TNF、PI3K-Akt和MAPK信号通路。蛋白质-蛋白质相互作用(PPI)分析确定TNF、ALB、AKT1、EGFR和CASP3为核心靶点。分子对接结果表明,72%的成分-靶点相互作用的结合能<-5.0 kcal/mol,表明结合活性较强。其中,芹菜素与EGFR的结合能最低,与其他核心靶点的结合能也始终低于其他成分。这表明芹菜素可能在治疗中起关键作用。

结论

高分辨率液相色谱-质谱法有效鉴定了SFTOT的透皮渗透成分,为进一步筛选关键活性化合物奠定了基础。我们的研究结果表明,SFTOT可能通过下调TNF、ALB、AKT1、EGFR和CASP3,同时通过AGE-RAGE、TNF、PI3K-Akt和MAPK信号通路抑制炎症介质释放来缓解COPD。这些作用可能有助于减少COPD相关症状群。值得注意的是,芹菜素似乎是预防和治疗COPD的关键生物活性成分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c93/12279505/06b438c59249/fmed-12-1605372-g001.jpg

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