FUBP1 lactylation suppresses trophoblast function in fetal growth restriction.

IF 4.4 2区 医学 Q1 GENETICS & HEREDITY
Xinyue Liang, Shenshen Yao, Jian Ma, Dan Wang
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引用次数: 0

Abstract

Background: Fetal growth restriction (FGR) is a common complication of pregnancy; however, its exact molecular mechanisms remain unclear. Excessive lactate accumulation in the placenta is often observed during FGR. High concentrations of lactate can regulate the proliferation of pathological cells through lactylation of key proteins. Therefore, we aimed to screen key lactylation modification-related genes (LMRGs) and provide new directions for the diagnosis and treatment of FGR.

Methods: The Differentially expressed LMRGs (DE-LMRGs) in FGR were evaluated using the Gene Expression Omnibus database. Functional enrichment analysis was performed, and a protein-protein interaction (PPI) network was created to explore the characteristics of placental gene networks associated with FGR. In addition, secondary cluster analysis was performed using a machine learning algorithm to screen critical genes. We evaluated the degree of immune cell infiltration of key genes using single-sample gene set enrichment analysis. The expression and function of key genes in FGR were verified experimentally. Furthermore, FUBP1 lactylation was assessed using mass spectrometry and immunoprecipitation. We overexpressed wild-type and mutant FUBP1 in HTR-8/SVneo cells to investigate how its lactylation regulates trophoblast function. Finally, patient-derived organoids (PDO) were cultured to confirm the underlying mechanism of FUBP1.

Results: In total, 35 DE-LMRGs were identified, and their PPI network was constructed. Two distinct FGR clusters were obtained using unsupervised consensus clustering. Moreover, the DE-LMRGs between the two patterns were mainly enriched in immune cell regulation-related molecular functions. We identified 5 overlapping key genes (BCLAF1, FUBP1, S100A6, CSRP1, CSRP2) by integrating the LASSO, random forest (RF), and SVM-RFE algorithms and screening for genes with a large fold change (using log2-FC). FUBP1 and BCLAF1 expression was lower in FGR placental tissues than in normal controls. Functional assays showed that both genes typically promote HTR-8/SVneo cell proliferation and invasion. However, lactylation of FUBP1 exerted the opposite effect by inhibiting proliferation and invasion and promoting apoptosis, indicating that FUBP1 lactylation regulates trophoblast function. Furthermore, PDO derived from the trophoblast tissues of patients with FGR revealed that FUBP1 lactylation suppressed PDO formation.

Conclusions: FUBP1 lactylation is identified as a novel mechanism suppressing trophoblast function in FGR. This finding expands the field of FGR research by highlighting the role of lactylation-modified proteins and provides crucial insights into the pathological mechanisms of FGR.

胎儿生长受限时,FUBP1的乳酸化抑制滋养细胞功能。
背景:胎儿生长受限(FGR)是妊娠期常见的并发症;然而,其确切的分子机制尚不清楚。在FGR期间,胎盘中经常观察到过多的乳酸积累。高浓度乳酸可以通过乳酸化关键蛋白来调节病理细胞的增殖。因此,我们旨在筛选关键的乳酸化修饰相关基因(LMRGs),为FGR的诊断和治疗提供新的方向。方法:利用基因表达综合数据库(Gene Expression Omnibus)对FGR中差异表达的LMRGs (DE-LMRGs)进行评价。通过功能富集分析,构建蛋白-蛋白相互作用(PPI)网络,探讨胎盘FGR相关基因网络的特征。此外,使用机器学习算法进行二次聚类分析以筛选关键基因。我们使用单样本基因集富集分析来评估关键基因的免疫细胞浸润程度。实验验证了FGR中关键基因的表达和功能。此外,使用质谱法和免疫沉淀法评估FUBP1的乳酸化。我们在HTR-8/SVneo细胞中过表达野生型和突变型FUBP1,以研究其乳酸化如何调节滋养细胞功能。最后,培养患者源性类器官(PDO)来证实FUBP1的潜在机制。结果:共鉴定出35个de - lmrg,并构建了它们的PPI网络。采用无监督一致聚类方法得到两个不同的FGR聚类。此外,两种模式之间的DE-LMRGs主要富集免疫细胞调控相关的分子功能。我们通过LASSO、随机森林(RF)和SVM-RFE算法结合,筛选折叠变化较大的基因(使用log2-FC),确定了5个重叠的关键基因(BCLAF1、FUBP1、S100A6、CSRP1、CSRP2)。FGR胎盘组织中FUBP1和BCLAF1的表达低于正常对照组。功能分析显示,这两个基因通常促进HTR-8/SVneo细胞的增殖和侵袭。而FUBP1的乳酸化则起到相反的作用,抑制细胞增殖和侵袭,促进细胞凋亡,表明FUBP1的乳酸化调节滋养细胞功能。此外,来自FGR患者滋养细胞组织的PDO表明,FUBP1的乳酸化抑制了PDO的形成。结论:FUBP1的乳酸化是FGR中抑制滋养细胞功能的新机制。这一发现通过强调乳酸修饰蛋白的作用扩展了FGR的研究领域,并为FGR的病理机制提供了重要的见解。
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来源期刊
自引率
5.30%
发文量
150
期刊介绍: Clinical Epigenetics, the official journal of the Clinical Epigenetics Society, is an open access, peer-reviewed journal that encompasses all aspects of epigenetic principles and mechanisms in relation to human disease, diagnosis and therapy. Clinical trials and research in disease model organisms are particularly welcome.
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