槲皮素通过PPARγ激活调节MAT2A/PRMT5通路抑制小鼠异位病变形成

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Shun Zhang, Yuan-Yuan Zhang, Qiu-Xia Zeng, Li Wang, Kong-Xian Li, Qi Chen
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引用次数: 0

摘要

目的:研究槲皮素对子宫内膜异位症小鼠模型的影响,并探讨其作用机制。方法:采用C57BL/6小鼠建立子宫内膜异位症模型,将其分为3组:1)假手术组,2)模型组,3)模型组,每日灌胃槲皮素100 mg/kg/d。3周后处死小鼠,采用苏木精和伊红(HE)染色进行组织病理学检查。电镜观察病变的微观结构,酶联免疫吸附试验(ELISA)检测腺苷甲硫氨酸(SAM)的表达水平。此外,通过Western blotting分析相关蛋白的表达,如过氧化物酶体增殖物激活受体-γ (PPARγ)和蛋氨酸腺苷转移酶2A (MAT2A)。免疫组化法检测Ki67、vimentin、血管内皮生长因子(VEGF)、Caspase-1的表达。结果:成功建立了子宫内膜异位症小鼠模型,其特征是异位病变呈现透明或红色的囊泡或结节特征,表面可见血管网络。模型组子宫内膜上皮增生呈柱状,间充质细胞增多,细胞形态规整。相反,给药组子宫内膜间质细胞数量稀少,细胞形态不规则,子宫内膜组织内可见大量空泡,提示细胞形态学发生凋亡改变。与假手术组相比,SAM的表达水平无统计学意义(P < 0.05)。相反,PPARγ的表达明显下降。MAT2A、PRMT5、cyclin D1、C-MYC表达升高,vimentin、Ki67、VEGF、caspase-1表达强阳性,差异有统计学意义(P < 0.05)。与模型组相比,槲皮素干预组异位病变重量明显减轻,PPARγ表达增加,MAT2A、PRMT5、SAM、cyclin D1、C-MYC蛋白表达水平明显降低。vimentin、Ki67、VEGF、caspase-1表达呈弱阳性,差异有统计学意义(P < 0.05)。结论:槲皮素通过激活PPARγ活性调控MAT2A/PRMT5基因的转录,从而影响子宫内膜细胞异位着床和生长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quercetin Inhibits Ectopic Lesion Formation in Mice by Modulating the MAT2A/PRMT5 Pathway through PPARγ Activation.

Objective: This study aimed to examine the impact of quercetin on a mouse model of endometriosis and elucidate its underlying mechanisms.

Methods: An endometriosis model was established using C57BL/6 mice, which were divided into three groups: 1) sham group, 2) model group, and 3) model group treated with daily gavage administration of 100 mg/kg/d quercetin. After three weeks, mice were euthanized, and histopathological examination was performed using hematoxylin and eosin (HE) staining. The microstructure of the lesions was examined using electron microscopy, and the expression level of Sadenosylmethionine (SAM) was measured using enzyme-linked immunosorbent assay (ELISA). Additionally, the expressions of related proteins, such as the peroxisome proliferator-activated receptor-γ (PPARγ) and methionine adenosyl-transferase 2A (MAT2A), were analyzed via Western blotting. Immunohistochemistry was employed to evaluate the expressions of Ki67, vimentin, vascular endothelial growth factor (VEGF), and Caspase-1.

Results: The endometriosis mice model was successfully established and characterized by ectopic lesions displaying transparent or red vesicular or nodular features with a visible vascular network on the surface. In the model group, endometrial epithelial hyperplasia exhibited columnar morphology, increased mesenchymal cell numbers, and regular cell morphology. Conversely, in the medication group, endometrial stromal cell numbers were sparse, cell morphology was irregular, and numerous vacuoles were observed in the endometrial tissue, indicative of apoptotic cell morphology changes. In comparison to the sham group, no statistically significant alterations were observed in the expression levels of SAM (P > 0.05). Conversely, the expression of PPARγ exhibited a notable decline. MAT2A, PRMT5, cyclin D1, and C-MYC expressions were increased, and vimentin, Ki67, VEGF, and caspase-1 expressions were strongly positive, with statistically significant differences (P < 0.05). In contrast, compared to the model group, the quercetin intervention group exhibited significantly reduced ectopic lesion weights, increased PPARγ expression, and significantly reduced protein expression levels of MAT2A, PRMT5, SAM, cyclin D1, and C-MYC. Furthermore, expressions of vimentin, Ki67, VEGF, and caspase-1 were weakly positive, with statistically significant differences (P < 0.05).

Conclusion: Quercetin modulated the transcription of the MAT2A/PRMT5 gene by activating PPARγ activity, thereby influencing the ectopic implantation and growth of endometrial cells.

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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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