Constructing a multigene diagnostic nomogram for heart failure based on B cell⁃related genes

LING Yi; LIANG Jingjing; PAN Zhihao; WANG Yanggan

doi:10.14188/j.1671-8852.2024.0161

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Constructing a multigene diagnostic nomogram for heart failure based on B cell⁃related genes

更新时间：2026-11-05

- Constructing a multigene diagnostic nomogram for heart failure based on B cell⁃related genes
- Medical Journal of Wuhan University Vol. 46, Issue 10, Pages: 1282-1292(2025)
- 作者机构：
  
  1.武汉大学中南医院心血管内科，湖北武汉 430071
  2.武汉大学中南医院综合医疗科，湖北武汉 430071
- 作者简介：
- 基金信息：
- DOI：10.14188/j.1671-8852.2024.0161
  CLC： R541.6
- Received：12 March 2024，
  
  Published：25 October 2025
- 稿件说明：
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凌懿,梁晶晶,潘治豪等.基于B细胞相关基因构建心力衰竭多基因诊断列线图[J].武汉大学学报（医学版）,2025,46(10):1282-1292.

LING Yi,LIANG Jingjing,PAN Zhihao,et al.Constructing a multigene diagnostic nomogram for heart failure based on B cell⁃related genes[J].Medical Journal of Wuhan University,2025,46(10):1282-1292.
凌懿,梁晶晶,潘治豪等.基于B细胞相关基因构建心力衰竭多基因诊断列线图[J].武汉大学学报（医学版）,2025,46(10):1282-1292. DOI： 10.14188/j.1671-8852.2024.0161.

LING Yi,LIANG Jingjing,PAN Zhihao,et al.Constructing a multigene diagnostic nomogram for heart failure based on B cell⁃related genes[J].Medical Journal of Wuhan University,2025,46(10):1282-1292. DOI： 10.14188/j.1671-8852.2024.0161.

摘要

目的

运用生物信息学和分子生物学方法探究B细胞相关基因在心力衰竭（HF）中的诊断价值。

方法

应用CD19免疫荧光检测HF模型小鼠心脏B细胞浸润水平。对26例HF患者心脏组织单细胞测序结果分析确定B细胞相关基因。从GEO数据库下载6个HF相关microarray测序数据集及2个HF相关RNA⁃seq测序数据集，分别将其合并作为训练集和验证集。使用差异基因分析、PPI网络分析、逻辑回归、BORUTA算法、LASSO回归及SVM⁃RFE算法进行特征选择。利用多因素逻辑回归构建诊断列线图，并通过ROC、Calibration以及DCA分析其可信度。通过多重免疫荧光验证结论。

结果

与对照组相比，HF组心脏B细胞浸润水平上升（

0.05）。单细胞测序分析发现125个B细胞相关基因，其中86个在组间差异表达。通过多种算法分析，诊断列线图包括CCL5、CD74、ITGB2、KLRD1和SELL 5个基因。该列线图在训练集及验证集中均被证实为一个可靠的HF诊断工具。免疫荧光显示，HF组小鼠心肌组织具有更高水平CD19

KLRD1

B细胞浸润（

0.05）。

结论

基于B细胞相关基因构建了诊断HF的5基因列线图，为阐明HF的发病机制提供了一个潜在的工具和可能的切入点。

Abstract

Objective

To comprehensively apply bioinformatics and molecular biology methods to explore the diagnostic value of B cell⁃related genes in heart failure (HF).

Methods

CD19 immunofluorescence staining was used to detect the B cell infiltration level in HF model mice's hearts. Single⁃cell RNA sequencing (scRNA⁃seq) data from the heart tissues of 26 HF patients were analyzed to determine B cell⁃related genes. Six microarray and two RNA⁃seq data sets related to HF were downloaded from the Gene Expression Omnibus (GEO) database and merged as training and validation sets

respectively. Differential gene analysis

protein⁃protein interaction (PPI) network analysis

logistic regression

Boruta algorithm

LASSO regression

and support vector machine recursive feature elimination (SVM⁃RFE) algorithms were used for feature selection. A diagnostic nomogram was constructed using multiple⁃factor logistic regression

and its reliability was assessed through receiver operating characteristic (ROC)

calibration

and decision curve analysis (DCA). The results were validated by multiplex immunofluorescence. The results were validated by multiplex immunofluorescence.

Results

Compared with that in the control group

the level of B cell infiltration in the heart of HF patients was increased (

0.05). Single⁃cell RNA sequencing analysis identified 125 B cell⁃related genes

of which 86 were differentially expressed between groups. Analysis using various algorithms revealed that the diagnostic nomogram included five genes: CCL5

CD74

ITGB2

KLRD1

and SELL. The nomogram was confirmed to be a reliable HF diagnostic tool in the training and validation sets. Immunofluorescence showed that HF model mice had higher CD19

KLRD1

B cell infiltration levels in myocardial tissue (

0.05).

Conclusion

A 5⁃gene diagnostic nomogram for HF was constructed based on B cell⁃related genes

providing a potential tool and a possible entry point for elucidating the pathogenesis of HF.

关键词

Keywords

references

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