The Paeonol of Total Glucosides of White Peony Regulates the Differentiation of CD4+Treg Cells through the EP300/Foxp3 Axis to Relieve Pulmonary Fibrosis in Mice.

IF 1.8 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Muyun Yan, Qing Wang, Hongzhong Yang, Da Liu, Weijun Liang, Huamei Chen
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引用次数: 0

Abstract

Pulmonary fibrosis is a chronic progressive lung disease that can lead to lung structural damage and respiratory failure. This study aimed to investigate whether paeonol could improve pulmonary fibrosis in mice by regulating through the EP300/Foxp3 axis. We established a mouse model of pulmonary fibrosis. Total glucosides of white peony (TGP) were used to treat the animal model, and lung injury was observed using HE and Masson staining. Inflammatory factor levels in bronchoalveolar lavage fluid were detected using ELISA. Network pharmacology analysis was conducted to explore the components, shared targets, and signaling pathways of pulmonary fibrosis and TGP. Molecular docking was performed to observe the binding of paeonol, a component of TGP, to the target EP300. CD4+T cells were collected and co-cultured with MPPF cells, followed by intervention with TGP and paeonol. The ratio of CD4+T/Treg cells was measured in vitro, and immunofluorescence was used to detect the intensity of α-SMA. Network pharmacology revealed that one of the key components of TGP is paeonol, and the signaling pathway associated with pulmonary fibrosis is the Foxp3 signaling pathway. TGP effectively inhibited the secretion of lung inflammatory factors TGF-β1, IFN-γ, IL-2, and IL-17 in mic. Paeonol, an effective component of TGP, could bind to EP300 at the molecular level. Both TGP and paeonol inhibited the expression of EP300 in CD4+T and MPPF cells, enhanced the proportion of Treg cells in CD4+T, and reduced the expression of Collagen I and α-SMA in MPPF cells. TGP can effectively inhibit lung inflammation and fibrosis progression in mice. Paeonol regulating CD4+Treg cell differentiation through the EP300/Foxp3 axis. This study may provide new insights into how TGP improves pulmonary fibrosis in mice.

白芍总苷丹皮酚通过EP300/Foxp3轴调控小鼠CD4+Treg细胞分化,减轻肺纤维化
肺纤维化是一种慢性进行性肺病,可导致肺结构损伤和呼吸衰竭。本研究旨在探讨丹皮酚是否通过调控EP300/Foxp3轴改善小鼠肺纤维化。建立小鼠肺纤维化模型。采用白牡丹总苷(TGP)治疗动物模型,HE染色、Masson染色观察肺损伤。采用ELISA法检测支气管肺泡灌洗液炎症因子水平。通过网络药理学分析,探讨肺纤维化和TGP的组成、共同靶点和信号通路。通过分子对接观察TGP的成分丹皮酚与靶蛋白EP300的结合。收集CD4+T细胞,与MPPF细胞共培养,然后用TGP和丹皮酚干预。体外检测CD4+T/Treg细胞比值,免疫荧光法检测α-SMA强度。网络药理学发现TGP的关键成分之一是丹皮酚,与肺纤维化相关的信号通路是Foxp3信号通路。TGP能有效抑制小鼠肺炎性因子TGF-β1、IFN-γ、IL-2、IL-17的分泌。丹皮酚是TGP的有效成分,可以在分子水平上与EP300结合。TGP和丹皮酚均能抑制CD4+T和MPPF细胞中EP300的表达,提高Treg细胞在CD4+T中的比例,降低MPPF细胞中I型胶原和α-SMA的表达。TGP能有效抑制小鼠肺部炎症和纤维化进展。丹皮酚通过EP300/Foxp3轴调控CD4+Treg细胞分化。这项研究可能为TGP如何改善小鼠肺纤维化提供新的见解。
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来源期刊
Cell Biochemistry and Biophysics
Cell Biochemistry and Biophysics 生物-生化与分子生物学
CiteScore
4.40
自引率
0.00%
发文量
72
审稿时长
7.5 months
期刊介绍: Cell Biochemistry and Biophysics (CBB) aims to publish papers on the nature of the biochemical and biophysical mechanisms underlying the structure, control and function of cellular systems The reports should be within the framework of modern biochemistry and chemistry, biophysics and cell physiology, physics and engineering, molecular and structural biology. The relationship between molecular structure and function under investigation is emphasized. Examples of subject areas that CBB publishes are: · biochemical and biophysical aspects of cell structure and function; · interactions of cells and their molecular/macromolecular constituents; · innovative developments in genetic and biomolecular engineering; · computer-based analysis of tissues, cells, cell networks, organelles, and molecular/macromolecular assemblies; · photometric, spectroscopic, microscopic, mechanical, and electrical methodologies/techniques in analytical cytology, cytometry and innovative instrument design For articles that focus on computational aspects, authors should be clear about which docking and molecular dynamics algorithms or software packages are being used as well as details on the system parameterization, simulations conditions etc. In addition, docking calculations (virtual screening, QSAR, etc.) should be validated either by experimental studies or one or more reliable theoretical cross-validation methods.
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