Evidence map›Paper›PMID 40401008›Full record

ArticleAmerican journal of clinical and experimental immunology2025

Bioinformatics analysis of FCER1A as a key immune marker in dilated cardiomyopathy and systemic lupus erythematosus.

Li Xu, Tao Wu, Wu Zhang, Songlin Xiao

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Article in American journal of clinical and experimental immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 · Its place in the literature

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3 citing papers in PubMed.

  1. Article
  2. Frontiers in medicine · 2026
    Article
  3. Genes · 2025
    Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Li XuDepartment of Cardiovascular Medicine, People's Hospital of Anyue County Ziyang 642350, Sichuan, PR China.
Tao WuDepartment of Cardiovascular Medicine, People's Hospital of Anyue County Ziyang 642350, Sichuan, PR China.
Wu ZhangDepartment of Cardiovascular Medicine, People's Hospital of Anyue County Ziyang 642350, Sichuan, PR China.
Songlin XiaoDepartment of Cardiovascular Medicine, People's Hospital of Anyue County Ziyang 642350, Sichuan, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSystemic lupus erythematosus (SLE) and dilated cardiomyopathy (DCM) are closely linked biologically, especially regarding immune responses. However, key biomarkers mediating the onset and development of both diseases are still lacking. This study uses bioinformatic methods to analyse the immune microenvironment of the ventricles of DCM patients and to search for biomarkers related to DCM and SLE.

methodsSingle-cell and bulk transcriptomic data for DCM were obtained from the GEO database, while GWAS data for SLE were obtained from the FinnGen database. The SMR method was used to identify genetic variants in the ventricles associated with SLE. Differential analysis was used to detect genes specific to monocyte-macrophages. Subsequently, a combination of machine learning algorithms was employed to select hub genes. Finally, small molecule drugs targeting the hub genes were retrieved from the DGIdb database.

resultsMononuclear macrophages were found to be significantly infiltrated in dilated cardiomyopathy (DCM) samples. Seven key genes (HLA-DQB1, CD52, FCER1A, etc.) were identified by cross-tabulation analysis, of which FCER1A was the best-performing (AUC 0.8-0.9) among ten machine learning models. Validation of multiple datasets showed that FCER1A was highly expressed in the DCM group, was mainly involved in the immune cell activation pathway, and strongly interacted with other cells in the myocardial microenvironment through the MK/PROS pathway. The gene was highly expressed in the middle and late stages of monocyte-macrophage differentiation and was associated with drugs such as benzathine penicillin polylysine and omalizumab.

conclusionFCER1A was found to be a key differentially expressed gene in mononuclear macrophages in DCM myocardial tissue, and its significantly high expression was closely associated with immune cell activation in the myocardial microenvironment, which lays a theoretical foundation for immunotherapy of DCM and requires further clinical validation.

Indexed as

bioinformaticsdiagnosisDilated cardiomyopathyimmune infiltrationmononuclear macrophagesingle-cell sequencing analyze

Identifiers

PMID40401008
PMCPMC12089886

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