基于生物信息学分析S100A9在真性红细胞增多症并发动脉血栓中的预测作用

刘禹; 刘晓燕; 吴三云; 熊蓓; 刘莉; 喻亚兰; 左学兰

doi:10.14188/j.1671-8852.2024.0790

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基于生物信息学分析S100A9在真性红细胞增多症并发动脉血栓中的预测作用

临床医学研究 | 更新时间：2026-11-05

- 基于生物信息学分析S100A9在真性红细胞增多症并发动脉血栓中的预测作用
- Predictive role of S100A9 in polycythemia vera complicated with arterial thrombosis based on bioinformatics
- 武汉大学学报（医学版） 2025年46卷第5期页码：637-643
- 作者机构：
  
  武汉大学中南医院血液科湖北武汉 430071
- 作者简介：
  
  刘禹，女，1999—，医学硕士生，主要从事骨髓增殖性肿瘤研究，E⁃mail: 1951929760@qq.com
  左学兰，女，1963—，医学博士，主任医师，硕士生导师，主要从事髓系肿瘤的基础与临床研究，E⁃mail: zuoxuelan@whu.edu.cn
- 基金信息：
  
  武汉大学中南医院科技成果转化面上项目(2022CGZH⁃MS010)
- DOI：10.14188/j.1671-8852.2024.0790
  中图分类号： R555.1
- 收稿：2024-10-18，
  
  纸质出版：2025-05-25
- 稿件说明：
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刘禹,刘晓燕,吴三云等.基于生物信息学分析S100A9在真性红细胞增多症并发动脉血栓中的预测作用[J].武汉大学学报（医学版）,2025,46(05):637-643.

LIU Yu,LIU Xiaoyan,WU Sanyun,et al.Predictive role of S100A9 in polycythemia vera complicated with arterial thrombosis based on bioinformatics[J].Medical Journal of Wuhan University,2025,46(05):637-643.
刘禹,刘晓燕,吴三云等.基于生物信息学分析S100A9在真性红细胞增多症并发动脉血栓中的预测作用[J].武汉大学学报（医学版）,2025,46(05):637-643. DOI： 10.14188/j.1671-8852.2024.0790.

LIU Yu,LIU Xiaoyan,WU Sanyun,et al.Predictive role of S100A9 in polycythemia vera complicated with arterial thrombosis based on bioinformatics[J].Medical Journal of Wuhan University,2025,46(05):637-643. DOI： 10.14188/j.1671-8852.2024.0790.

摘要

目的

借助生物信息学方法筛选出真性红细胞增多症并发动脉血栓的核心基因与信号通路，并探讨其可能的机制和临床作用。

方法

下载GEO数据库中真性红细胞增多症和急性冠状动脉综合征的基因表达数据集，利用GEO2R筛选出共表达差异基因。借助微生信数据库针对共表达差异基因开展GO及KEGG富集分析。蛋白质⁃蛋白质相互作用网络通过STRING数据库建立，Cytoscape可视化和挑选。诊断意义通过评估表达水平和绘制ROC曲线来确定。最后通过GeneMINIA和GSEA工具挖掘S100A9共表达基因和富集通路。

结果

确定了61个共表达差异基因，从中筛选出8个核心基因进行评估，评估表明S100A9在真性红细胞增多症并发动脉血栓中高表达且有诊断意义，与S100A8和Toll样受体⁃4密切相关。

结论

S100A9在真性红细胞增多症并发动脉血栓中高表达，可能以S100A8/A9的形式通过调节白细胞和/或Toll样受体信号通路发挥促炎活性来促进真性红细胞增多症患者动脉血栓形成，成为预测真性红细胞增多症并发动脉血栓的生物标志物。

Abstract

Objective

To screen the key genes and signaling pathways of polycythemia vera complicated with arterial thrombosis by bioinformatics

and to explore their possible mechanisms and clinical effects.

Methods

The gene expression datasets of polycythemia vera and acute coronary syndrome were retrieved from the gene Expression Omnibus（GEO） database

and differentially expressed genes with co⁃expression patterns were identified using GEO2R. GO and KEGG enrichment analysis of co⁃expressed differentially expressed genes were performed with the help of the Wei Sheng Xin database. The protein⁃protein interaction （PPI） network was established using the STRING and was subsequently visualized using Cytoscape to screen the key genes. Diagnostic significance was determined by evaluating expression levels and drawing ROC curves. Finally

S100A9 co⁃expressed genes and enriched signaling pathways were mined by GeneMINIA and GSEA tool.

Results

Sixty⁃one co⁃expressed differentially expressed genes were identified

and 8 key genes were screened for evaluation. The evaluation revealed that S100A9 exhibited significantly elevated expression in cases of polycythemia vera complicated with arterial thrombosis

demonstrating diagnostic significance. This elevated expression was found to be closely associated with S100A8 and Toll⁃like receptor⁃4.

Conclusion

S100A9 is highly expressed in polycythemia vera complicated with arterial thrombosis. It may play a pro⁃inflammatory activity in the form of S100A8/A9 to promote arterial thrombosis in patients with polycythemia vera by regulating white blood cell and/or Toll⁃like receptor signaling pathway. Therefore

S100A9 holds potential as a biomarker for predicting the risk of arterial thrombosis in polycythemia vera.

关键词

Keywords

references

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