研究循环蛋白与自然流产风险之间的因果关系及其潜在意义的多组学分析。

IF 1.9 Q3 OBSTETRICS & GYNECOLOGY
Min Huang, Meihua He, Jiahui Xiang, Yinghui Liu, Limei Zhang, Xiaoli Sun
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引用次数: 0

摘要

目的:自然流产是一种具有重要遗传成分的复杂疾病。确定影响自然流产风险的遗传变异可以揭示生物学途径和潜在的治疗靶点。方法:采用孟德尔随机化方法,利用顺式和反式蛋白数量性状位点(pqtl)作为工具变量,评估循环蛋白对自然流产的因果影响。性别差异表达的蛋白被排除在外。利用KEGG通路富集研究易感基因影响的通路,利用单细胞转录组学分析探索子宫内膜内这些基因表达升高的易感细胞类型。结果:MMP9和DC-SIGN与自然流产风险增加相关(OR=1.11(1.03-1.19), P=3.70 × 10-3;OR=1.09(1.02-1.16), p=9.89 × 10-3),而HBAZ和NELL1具有保护作用(OR=0.96(0.94-0.99), p=5.20 × 10-3;或= 0.94 (0.9 - -0.98),p = 8.54 x10-3)。此外,TMM85具有较高的自然流产风险(OR=1.06(1.02-1.1), p=4.72 × 10-3)。通路分析强调鞘脂结合、化学驱避活性和肿瘤坏死因子受体活性。单细胞转录组学显示,MUL1、EMC4、NDC80和SELL基因在子宫细胞中表达水平较高,这些易感基因在白细胞、成熟NK T细胞和子宫T细胞中表达水平升高。结论:我们的综合多组学分析确定了影响自然流产风险的遗传变异及其下游分子机制,为潜在的治疗靶点提供了见解。所涉及的途径和细胞类型可能指导未来研究自然流产的发病机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A multi-omic analysis to investigate the causal associations between circulating proteins and risk of spontaneous abortion and their potential implications.

Objective: Spontaneous abortion is a complex disorder with a significant genetic component. Identifying genetic variants influencing spontaneous abortion risk could unveil biological pathways and potential therapeutic targets.

Methods: We performed Mendelian randomization using cis- and trans-protein quantitative trait loci (pQTLs) as instrumental variables to assess causal effects of circulating proteins on spontaneous abortion. Proteins exhibiting differential expression between sexes were excluded. KEGG pathway enrichment was employed to investigate the pathways affected by susceptibility genes, while single-cell transcriptomic analysis was utilized to explore the susceptible cell types with elevated expression of these genes within the uterine endometrium.

Results: MMP9 and DC-SIGN were associated with increased spontaneous abortion risk (OR=1.11(1.03-1.19), P=3.70x10-3; OR=1.09(1.02-1.16), p=9.89x10-3), while HBAZ and NELL1 had protective effects (OR=0.96(0.94-0.99), p=5.20x10-3; OR=0.94(0.9-0.98), p=8.54x10-3). Additionally, TMM85 conferred higher spontaneous abortion risk (OR=1.06(1.02-1.1), p=4.72x10-3). Pathway analysis highlighted sphingolipid binding, chemorepellent activity, and tumor necrosis factor receptor activity. Single-cell transcriptomics revealed that MUL1, EMC4, NDC80, and SELL genes exhibit higher expression levels within uterus cells, and these susceptibility genes displayed elevated expression levels in leukocytes, mature NK T cells, and T cells in the uterus.

Conclusions: Our integrated multi-omics analysis identified genetic variants influencing spontaneous abortion risk and their downstream molecular mechanisms, providing insights into potential therapeutic targets. The implicated pathways and cell types may guide future investigations into the pathogenesis of spontaneous abortion.

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来源期刊
CiteScore
3.30
自引率
6.70%
发文量
56
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