Evidence map›Paper›PMID 41209049›Full record

ArticleImmunoTargets and therapy2025

Profiling Shared Cytotoxic Immune Signatures in SLE-Associated Coronary Injury Through Transcriptomics and Machine Learning.

Yongkang Chen, Shuk Ming Tso, Feng Wu, Yue Xu, Liyan Cui

Abstract read
In one paragraph

Article in ImmunoTargets and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Yongkang Chen *Department of Laboratory Medicine, Peking University Third Hospital, Beijing, People's Republic of China.
Shuk Ming Tso *Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, USA.
Feng WuHeersink School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, USA.
Yue XuDepartment of Rheumatology, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China.
Liyan CuiDepartment of Laboratory Medicine, Peking University Third Hospital, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study investigated shared molecular pathways linking systemic lupus erythematosus (SLE) and coronary artery disease (CAD) to uncover mechanisms of coronary injury in SLE. Patients and Methods: Bulk transcriptomic datasets (GSE45291 for SLE, GSE61145 for CAD) were analyzed to identify differentially expressed genes (DEGs), immune cell infiltration patterns, and co-expression networks. A diagnostic model was constructed and validated using external cohorts (GSE49454 for SLE, GSE179789 for CAD). Machine learning prioritized core genes, validated in both external cohorts and in SLE patients with coronary injury (GSE264125). Cellular localization and intercellular communication were explored by analyzing single-cell RNA-seq data (GSE135779). qPCR was used to validate the gene expression in peripheral blood mononuclear cells (PBMCs) from patients. Results: We identified 146 common DEGs enriched in immune pathways related to cell toxicity, and found shared dysregulation in cytotoxic lymphocytes such as natural killer (NK) cells and CD8 Conclusion: SLE and CAD share a cytotoxic lymphocyte-driven molecular axis, with GZMK/KLRK1-mediated immune dysregulation as a key contributor to coronary injury in SLE. GZMK and KLRK1 may represent promising biomarkers for early detection and risk stratification of SLE-associated coronary complications. Notably, the discrimination (AUC=1.000) was observed in a limited subgroup of SLE patients with coronary microvascular dysfunction (n=4), warranting further validation in expanded cohorts.

Indexed as

cell interactionscoronary artery diseasecytotoxic lymphocytediagnostic modelsystemic lupus erythematosus

Identifiers

PMID41209049
PMCPMC12595958

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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.