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利用公共转录组学和单细胞RNA测序数据集对先兆子痫中凋亡相关基因进行生物信息学分析

Bioinformatic Analysis of Apoptosis-Related Genes in Preeclampsia Using Public Transcriptomic and Single-Cell RNA Sequencing Datasets.

作者信息

Liu Lingyan, Li Xiuling, Yang Hongfen, Xu Fei, Dong Xudong

机构信息

Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, 650500, People's Republic of China.

Department of Obstetrics, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, 650500, People's Republic of China.

出版信息

J Inflamm Res. 2025 Apr 7;18:4785-4812. doi: 10.2147/JIR.S507660. eCollection 2025.

Abstract

PURPOSE

Apoptosis, which is crucial in preeclampsia (PE), affects trophoblast survival and placental function. We used transcriptomics and single-cell RNA sequencing (scRNA-seq) to explore apoptosis-related genes (ARGs) and their cellular mechanisms as potential PE biomarkers.

PATIENTS AND METHODS

All the data included in this study were sourced from public databases. We used scRNA-seq and differential expression analysis, combined with five algorithms from the CytoHubba plugin, to identify ARGs as PE biomarkers. These were integrated into diagnostic nomograms. Mechanistic studies involved enrichment analysis and immune profiling. Biomarker expression was examined at the single-cell level, and verified in clinical samples by RT-qPCR.

RESULTS

Cluster of Differentiation 44 (CD44), Macrophage migration inhibitory factor (MIF), PIK3R1, and Toll-like receptor 4 (TLR4) were identified as PE biomarkers. CD44 and TLR4 were down-regulated, while MIF and PIK3R1 were up-regulated. When integrated into the diagnostic nomogram, they showed clinical utility and affected cell functions. In the immune profile of PE, monocytes decreased, resting NK cells increased, and the activities of APC, checkpoint, T-cell co-stimulation, and MHC class I pathways reduced. ScRNA-seq identified 11 cell types, 10 of which were significantly different. Endothelial cell communication with other cell types decreased, while the interaction between common myeloid progenitors (CMP) and villous cytotrophoblasts (VCT) enhanced. The expression levels of CD44, MIF, and PIK3R1 in VCT were significantly different and key to PE. Their decrease in early PE and increase in late PE reflected the placenta's adaptation to adverse pregnancy conditions.

CONCLUSION

Four ARGs, CD44, MIF, PIK3R1, and TLR4, identified through comprehensive analyses, served as significant biomarkers for PE and offered insights into PE's cellular mechanisms of PE, providing valuable references for further research.

摘要

目的

细胞凋亡在子痫前期(PE)中至关重要,它影响滋养层细胞存活和胎盘功能。我们使用转录组学和单细胞RNA测序(scRNA-seq)来探索凋亡相关基因(ARG)及其细胞机制,作为潜在的PE生物标志物。

患者和方法

本研究纳入的所有数据均来自公共数据库。我们使用scRNA-seq和差异表达分析,结合来自CytoHubba插件的五种算法,以鉴定作为PE生物标志物的ARG。这些被整合到诊断列线图中。机制研究包括富集分析和免疫图谱分析。在单细胞水平检测生物标志物表达,并通过RT-qPCR在临床样本中进行验证。

结果

分化簇44(CD44)、巨噬细胞迁移抑制因子(MIF)、磷脂酰肌醇-3激酶调节亚基1(PIK3R1)和Toll样受体4(TLR4)被鉴定为PE生物标志物。CD44和TLR4下调,而MIF和PIK3R1上调。当整合到诊断列线图中时,它们显示出临床实用性并影响细胞功能。在PE的免疫图谱中,单核细胞减少,静息自然杀伤细胞增加,抗原呈递细胞(APC)、检查点、T细胞共刺激和MHC I类途径的活性降低。scRNA-seq鉴定出11种细胞类型,其中10种有显著差异。内皮细胞与其他细胞类型的通讯减少,而常见髓系祖细胞(CMP)与绒毛细胞滋养层细胞(VCT)之间的相互作用增强。VCT中CD44、MIF和PIK3R1的表达水平有显著差异,且是PE的关键因素。它们在早发型PE中降低,在晚发型PE中升高,反映了胎盘对不良妊娠条件的适应。

结论

通过综合分析鉴定出的四个ARG,即CD44、MIF、PIK3R1和TLR4,作为PE的重要生物标志物,并为PE的细胞机制提供了见解,为进一步研究提供了有价值的参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f655/11992479/e63c811ba1f2/JIR-18-4785-g0001.jpg

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