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通过对人卵巢颗粒细胞的转录组学分析揭示多囊卵巢综合征(PCOS)的分子图谱及炎症的作用

Unravelling the molecular landscape of polycystic ovary syndrome (PCOS) and role of inflammation through transcriptomics analysis of human ovarian granulosa cells.

作者信息

Mahra Kanika, Singh Vineet, Shin Jae-Ho

机构信息

Department of Applied Biosciences, Kyungpook National University, Daegu, 41566, Republic of Korea.

出版信息

Genomics Inform. 2025 Aug 11;23(1):18. doi: 10.1186/s44342-025-00051-6.

Abstract

BACKGROUND

Polycystic ovary syndrome (PCOS) is a common metabolic problem in women of reproductive age that can lead to infertility and other metabolic disorders. Recent evidence indicates that inflammation might be one of the contributing factors in PCOS progression. However, there is a lack of information on the regulation of inflammatory genes in PCOS. Therefore, the aim of the study is to investigate the role of inflammation-associated genes and pathways in relation to PCOS.

METHOD

The bulk RNA-seq data of granulosa cells of human ovaries of PCOS-affected and healthy women were analyzed to evaluate the inflammatory regulation in PCOS. After quality trimming, the raw RNA-seq data were aligned to the human genome, and gene expression was quantified using featureCounts with Ensembl annotation. Further, downstream analyses of the resulting count matrix were performed in R Studio, where differentially expressed genes (DEG) were identified and CO-DEG analysis was performed.

RESULTS

The study identifies the various differentially expressed inflammatory genes in the case of PCOS such as SPI1, HSPB1, MNDA, and ITGA. These DEG are closely associated with the activation of inflammatory responses, i.e., activation of lymphocytes and leukocytes, leukocyte migration and mononuclear cell proliferation, stimulating binding of various cytokines, immunoglobulins, and chemokines. PCOS group also exhibited an increased expression of androgen-mediated genes (SPI1 and ETS transcription factors) and genes associated with hyperlipidemia and insulin resistance (TNFRSF1B). Further, KEGG pathway enrichment analysis revealed significant upregulation of various pathways (autophagy, endocytosis) in the PCOS group. In addition, network analysis (cnetplot) of the top 10 KEGG GSEA pathways also highlights the key pathways in the PCOS group such as SNARE complex assembly pathway, SNAP-25, nucleophagy, and regulation of mast cell activation.

CONCLUSION

Therefore, the study highlights that inflammation is a major effector in PCOS, which also fuels obesity, an independent effector that further worsens the PCOS condition. In addition, the genes related to hyperandrogenism, hyperlipidemia, and insulin resistance were also overexpressed in PCOS, exacerbating the condition.

摘要

背景

多囊卵巢综合征(PCOS)是育龄女性常见的代谢问题,可导致不孕及其他代谢紊乱。近期证据表明,炎症可能是PCOS进展的促成因素之一。然而,关于PCOS中炎症基因调控的信息尚少。因此,本研究旨在探讨炎症相关基因和通路在PCOS中的作用。

方法

分析多囊卵巢综合征患者及健康女性人卵巢颗粒细胞的批量RNA测序数据,以评估PCOS中的炎症调控。经过质量修剪后,将原始RNA测序数据与人类基因组进行比对,并使用带有Ensembl注释的featureCounts对基因表达进行定量。此外,在R Studio中对所得计数矩阵进行下游分析,识别差异表达基因(DEG)并进行共差异表达基因分析。

结果

该研究确定了PCOS患者中各种差异表达的炎症基因,如SPI1、HSPB1、MNDA和ITGA。这些差异表达基因与炎症反应的激活密切相关,即淋巴细胞和白细胞的激活、白细胞迁移和单核细胞增殖、刺激各种细胞因子、免疫球蛋白和趋化因子的结合。PCOS组还表现出雄激素介导基因(SPI1和ETS转录因子)以及与高脂血症和胰岛素抵抗相关基因(TNFRSF1B)的表达增加。此外,KEGG通路富集分析显示PCOS组中各种通路(自噬、内吞作用)显著上调。此外,前10个KEGG基因集富集分析(GSEA)通路的网络分析(cnetplot)也突出了PCOS组中的关键通路,如SNARE复合体组装通路、SNAP-25、核自噬和肥大细胞激活的调节。

结论

因此,该研究强调炎症是PCOS的主要效应因子,它还助长肥胖,而肥胖是进一步恶化PCOS病情的独立效应因子。此外,与高雄激素血症、高脂血症和胰岛素抵抗相关的基因在PCOS中也过度表达,加剧了病情。

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