Immunomodulatory insights of monoterpene glycosides in endometriosis: immune infiltration and target pathways analysis.

IF 2.7 3区 生物学 Hereditas Pub Date : 2025-01-03 DOI:10.1186/s41065-024-00354-8
Jin Zhan, Jiajie Wu
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Abstract

Endometriosis is a complex gynecological condition characterized by abnormal immune responses. This study aims to explore the immunomodulatory effects of monoterpene glycosides from Paeonia lactiflora on endometriosis. Using the ssGSEA algorithm, we assessed immune cell infiltration levels between normal and endometriosis groups. Key targets were identified through differential expression analysis of the GSE51981 dataset. Potential immunomodulatory targets of Paeonia lactiflora compounds were identified through Venn diagram analysis, followed by enrichment and machine learning analyses. A nomogram was developed for predicting endometriosis, while molecular docking explored compound-target interactions. Significant differences in immune cell infiltration were observed, with increased CD8 T cells, cytotoxic cells, and others in endometriosis. Differential expression analysis identified 43 potential targets. Enrichment analysis highlighted pathways involved in immune and inflammatory responses. Machine learning identified SSTR5, CASP3, FABP2, and SYK as critical targets, contributing to a nomogram that demonstrated good predictive performance for endometriosis risk. Molecular docking revealed strong interactions between Paeoniflorigenone and CASP3. Our findings suggest that monoterpene glycosides have therapeutic effects on endometriosis by modulating key immune-related targets and pathways, providing a basis for further investigation into Paeonia lactiflora's potential as a treatment for this condition.

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单萜苷在子宫内膜异位症中的免疫调节作用:免疫浸润和靶标通路分析。
子宫内膜异位症是一种复杂的妇科疾病,其特征是免疫反应异常。本研究旨在探讨芍药单萜苷对子宫内膜异位症的免疫调节作用。使用ssGSEA算法,我们评估了正常和子宫内膜异位症组之间的免疫细胞浸润水平。通过GSE51981数据集的差异表达分析确定关键靶点。通过维恩图分析确定了芍药化合物的潜在免疫调节靶点,并进行了富集和机器学习分析。开发了一种预测子宫内膜异位症的nomogram,而分子对接则探索了化合物-靶点的相互作用。免疫细胞浸润有显著差异,在子宫内膜异位症中CD8 T细胞、细胞毒性细胞和其他细胞增多。差异表达分析鉴定出43个潜在靶点。富集分析强调了参与免疫和炎症反应的途径。机器学习确定了SSTR5、CASP3、FABP2和SYK为关键靶点,形成了对子宫内膜异位症风险具有良好预测效果的nomogram。分子对接发现芍药苷酮与CASP3之间存在强相互作用。本研究提示单萜苷通过调节关键免疫相关靶点和通路对子宫内膜异位症具有治疗作用,为进一步研究芍药治疗子宫内膜异位症的潜力提供了基础。
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来源期刊
Hereditas
Hereditas Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
3.80
自引率
3.70%
发文量
0
期刊介绍: For almost a century, Hereditas has published original cutting-edge research and reviews. As the Official journal of the Mendelian Society of Lund, the journal welcomes research from across all areas of genetics and genomics. Topics of interest include human and medical genetics, animal and plant genetics, microbial genetics, agriculture and bioinformatics.
期刊最新文献
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