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

Kanika Mahra, Vineet Singh, Jae-Ho Shin
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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.

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)的分子格局和炎症的作用。
背景:多囊卵巢综合征(PCOS)是育龄妇女常见的代谢问题,可导致不孕和其他代谢紊乱。最近的证据表明,炎症可能是PCOS进展的因素之一。然而,炎症基因在多囊卵巢综合征中的调控作用尚缺乏相关信息。因此,本研究的目的是探讨炎症相关基因和途径在多囊卵巢综合征中的作用。方法:分析PCOS患者和健康女性卵巢颗粒细胞的大量RNA-seq数据,以评价PCOS患者的炎症调节作用。经过质量修剪后,将原始RNA-seq数据与人类基因组进行比对,并使用带有Ensembl注释的featurecots对基因表达进行量化。此外,在R Studio中对所得计数矩阵进行下游分析,其中鉴定差异表达基因(DEG)并进行CO-DEG分析。结果:本研究确定了PCOS病例中多种差异表达的炎症基因,如SPI1、HSPB1、MNDA和ITGA。这些DEG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的基因(TNFRSF1B)的表达也有所增加。此外,KEGG通路富集分析显示,PCOS组多种通路(自噬、内吞)均显著上调。此外,通过对KEGG GSEA前10大通路的网络分析(cnetplot),也突出了PCOS组的SNARE复合物组装通路、SNAP-25、核自噬、肥大细胞活化调控等关键通路。结论:因此,本研究强调炎症是PCOS的一个主要影响因素,它也会导致肥胖,这是一个进一步恶化PCOS病情的独立影响因素。此外,与高雄激素、高脂血症、胰岛素抵抗相关的基因也在PCOS中过度表达,加重了病情。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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