Evidence map›Paper›PMID 37396579›Full record

ArticleFrontiers in cardiovascular medicine2023

PILRA is associated with immune cells infiltration in atrial fibrillation based on bioinformatics and experiment validation.

Weihua Shi, Xiaoli Li, Yongxing Su, Dezhao Liu, Liying Wu, Shuo Li, Wenxiu He, Guoqiang Zhong, Zhiyuan Jiang

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
  2. Article
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  4. Long-term temporal stability of circulating proteins in older adults.bioRxiv : the preprint server for biology · 2025
    Article
  5. Review
  6. Article
  7. Article
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  9. Article
  10. Prediction of new-onset atrial fibrillation in patients with hypertrophic cardiomyopathy using plasma proteomics profiling.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024
    Article
  11. [Pathogenesis and potential diagnostic biomarkers of atrial fibrillation in Chinese population: a study based on bioinfor-matics].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2024
    Article
  12. Article
  13. The Role ofJournal of clinical medicine · 2024
    Review
  14. Review
  15. Article
  16. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Weihua Shi *Department of Cardiology, First Affiliated Hospital, Guangxi Medical University, Nanning, China.
Xiaoli Li *Department of Cardiology, First Affiliated Hospital, Guangxi Medical University, Nanning, China.
Yongxing SuDepartment of Cardiology, First Affiliated Hospital, Guangxi Medical University, Nanning, China.
Dezhao LiuDepartment of Cardiology, First Affiliated Hospital, Guangxi Medical University, Nanning, China.
Liying WuDepartment of Pharmacy, Guangxi Zhuang Autonomous Region People's Hospital, Nanning, China.
Shuo LiDepartment of Cardiology, First Affiliated Hospital, Guangxi Medical University, Nanning, China.
Wenxiu HeDepartment of Cardiology, First Affiliated Hospital, Guangxi Medical University, Nanning, China.
Guoqiang ZhongDepartment of Cardiology, First Affiliated Hospital, Guangxi Medical University, Nanning, China.
Zhiyuan JiangDepartment of Cardiology, First Affiliated Hospital, Guangxi Medical University, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: inflammation plays an important role in atrial fibrillation (AF). In this study, we investigated the significance of immune cell infiltration in AF and identified the potential Hub genes involved in the regulation of immune cell infiltration in AF. Methods: we obtained AF datasets from the GEO database and analyzed them for obtaining differentially expressed genes (DEGs) by R software. Then, we performed GO, KEGG, and GSEA enrichment analyses of DEGs. The Hub genes of AF were determined by least absolute shrinkage selection operator (LASSO) regression analysis and weighted gene co-expression network analysis (WGCNA). Their validation was verified by using quantitative polymerase chain reaction (qPCR) in the AF rat model. Finally, we used a single sample GSEA (ssGSEA) to analyze immune cell infiltration and its relationship with hub genes. Results: We obtained 298 DGEs from the heatmap and found that DGEs were closely related to inflammation, immunity, and cytokine interactions by enrichment analyses. We obtained 10 co-expression modules by WGCNA. Among them, the module including CLEC4A, COTL1, EVI2B, FCER1G, GAPT, HCST, NCF2, PILRA, TLR8, and TYROBP had the highest correlation with AF. Four Hub genes (PILRA, NCF2, EVI2B, GAPT) were obtained further by LASSO analysis. The results suggested that the expression level of PILRA was significantly elevated in the rats with AF by qPCR, compared to the rats without AF. The results revealed that the infiltration of neutrophils, macrophages, monocytes, mast cells, immature B cells, myeloid-derived suppressor cell (MDSC), dendritic cell, and T cells and their partial subpopulations were closely related to AF by ssGSEA analysis, and PILRA was positively correlated with immature B cell, monocyte, macrophage, mast cell, dendritic cell, and T cells and their partial subpopulations by Spearman correlation analysis. Conclusions: PILRA was closely related to multiple types of immune cell infiltration, which may be associated with AF. PILRA may be a novel target of intervention for AF.

Indexed as

atrial fibrillationimmune cells 1nfiltrationinflammationleast absolute shrinkage selection operator (LASSO) regression analysisweighted gene co-expression network analysis (WGCNA)

Identifiers

PMID37396579
PMCPMC10311564

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