Evidence map›Paper›PMID 40307438›Full record

ArticleScientific reports2025

Transcriptome associated with single-cell analysis reveal the role of S-palmitoylation in coronary artery disease.

Yiming Xing, Xianhe Lin

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Yiming XingCardiology Department, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, China.
Xianhe LinCardiology Department, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, China. xianhe_lin@126.com.

Funding

Natural Science Foundation of Anhui Province 2008085MH239
6 · The paper itself

Abstract

Coronary artery disease (CAD), a widespread cardiovascular ailment, exhibits a strong association with palmitoylation. This research aimed to elucidate the role of S-palmitoylation in CAD through bioinformatics, providing novel perspectives on the mechanism underlying CAD. By intersecting differentially expressed genes with weighted gene co-expression network analysis (WGCNA) from the GSE113079 dataset, 534 differentially expressed palmitoylation-related genes (DE-PRGs) were identified. Protein-protein interaction (PPI) network analysis, in conjunction with machine learning algorithms and immune infiltration analysis utilizing CIBERSORT, identified CXCL12, KRTAP4-7, and PPP2R2B as pivotal hub genes in CAD progression with significant immune links. Enrichment analyses revealed their predominant roles in immune regulation. Nomogram and ROC curve analyses revealed robust diagnostic predictive capabilities grounded in the three hub genes. A regulatory network involving the transcription factor HDAC2 and miRNA hsa-mir-23a-3p was predicted. Single-cell sequencing (GSE121893) further highlighted endothelial cells, fibroblasts, and macrophages as central cellular interactors, with significant crosstalk among these populations. These findings positioned CXCL12, KRTAP4-7 and PPP2R2B as key palmitoylated hub genes in CAD, thereby offering dual potential as diagnostic markers and therapeutic targets.

Indexed as

Coronary Artery DiseaseLipoylationSingle-Cell AnalysisTranscriptomeChemokine CXCL12Computational BiologyGene Expression ProfilingGene Regulatory NetworksHistone Deacetylase 2HumansMicroRNAsProtein Interaction MapsProtein Phosphatase 2Chemokine CXCL12CXCL12 protein, humanHDAC2 protein, humanHistone Deacetylase 2MicroRNAsProtein Phosphatase 2CADHub genesImmune infiltrationSingle-cell analysisS-palmitoylation

Identifiers

PMID40307438
PMCPMC12043807

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.