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炎症蛋白在不孕症中的因果推断:一项孟德尔随机化研究

Causal inference of inflammatory proteins in infertility: a Mendelian randomization study.

作者信息

Chen Peng, Ni Sha, Ou-Yang Ling

机构信息

Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.

出版信息

Front Endocrinol (Lausanne). 2025 Feb 25;16:1448530. doi: 10.3389/fendo.2025.1448530. eCollection 2025.

Abstract

BACKGROUND

Infertility affects 8-12% of couples globally, manifesting as a complex reproductive disorder with varied causes, negatively impacting emotional, physical, and social well-being. Inflammation is implicated in many diseases, including male and female infertility.

METHODS

This study employed Mendelian randomization (MR) with two-sample, bidirectional, and mediation approaches to explore the relationship between circulating inflammatory proteins and infertility. Causal analysis was conducted using inverse variance-weighted (IVW) and MR-Egger regression, supplemented by enrichment analysis, protein-protein interaction (PPI) network exploration, and drug signature analysis.

RESULTS

Our findings identified a significant positive correlation between C-X-C motif chemokine 6 (CXCL6) and male infertility, positioning CXCL6 as a potential therapeutic target or biomarker. No causal links were detected between circulating inflammatory proteins and female infertility post-FDR adjustment. Minor mediation effects were observed for metabolites such as androstenediol monosulfate, arachidonoylcholine, and serum phosphate to glycerol ratio. Cytokine-related pathways emerged as significant in both male and female infertility. Gene-drug interaction analysis highlighted the need for further investigation of pioglitazone in treating female infertility.

CONCLUSION

This study establishes a potentially causal relationship between CXCL6 and male infertility, suggesting its potential as a drug target or molecular biomarker. The integrative approach combining causal inference with molecular pathway and drug interaction analysis opens new avenues for understanding and treating infertility.

摘要

背景

不孕症影响着全球8%-12%的夫妇,表现为一种病因多样的复杂生殖障碍,对情绪、身体和社会幸福感产生负面影响。炎症与包括男性和女性不孕症在内的许多疾病有关。

方法

本研究采用孟德尔随机化(MR)方法,包括两样本、双向和中介分析方法,以探讨循环炎症蛋白与不孕症之间的关系。使用逆方差加权(IVW)和MR-Egger回归进行因果分析,并辅以富集分析、蛋白质-蛋白质相互作用(PPI)网络探索和药物特征分析。

结果

我们的研究结果确定了C-X-C基序趋化因子6(CXCL6)与男性不育症之间存在显著正相关,将CXCL6定位为潜在的治疗靶点或生物标志物。经错误发现率(FDR)调整后,未检测到循环炎症蛋白与女性不孕症之间的因果联系。观察到硫酸单雄烯二醇、花生四烯酰胆碱和血清磷酸盐与甘油比值等代谢物具有轻微的中介作用。细胞因子相关途径在男性和女性不孕症中均显著。基因-药物相互作用分析强调需要进一步研究吡格列酮治疗女性不孕症的效果。

结论

本研究确立了CXCL6与男性不育症之间潜在的因果关系,表明其作为药物靶点或分子生物标志物的潜力。将因果推断与分子途径和药物相互作用分析相结合的综合方法为理解和治疗不孕症开辟了新途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d5a/11893426/76d88d261d46/fendo-16-1448530-g001.jpg

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