Source: openalex · Origin: CN · Jintao Qian, Junhao Zhang, Yì Wáng, Suyu Xu, Li Y · Frontiers in Cell and Developmental Biology · 2026-05-26
URL: https://doi.org/10.3389/fcell.2026.1838380
AI rationale (4/5, tier: emerging): Efferocytosis-gene analysis in atherosclerosis directly matches core resolution mechanism; bulk+scRNA-seq strengthens evidence tier but lacks SPM mediator data.
Background Atherosclerosis (AS) is a widespread cardiovascular disorder that constitutes a major contributor to global morbidity and mortality, thereby imposing significant economic burdens on healthcare systems worldwide. Efferocytosis, the phagocytic removal of apoptotic cells, serves as a fundamental mechanism for maintaining tissue homeostasis during normal physiological function and for restoring equilibrium following pathological insults. Methods This study systematically investigated the functional roles of efferocytosis across specific cell types using single-cell datasets. By integrating differential expression analysis, weighted gene co-expression network analysis (WGCNA), and machine learning approaches, six key genes were identified. Gene set variation analysis (GSVA) was subsequently performed to elucidate the biological pathways in which these genes are involved. Furthermore, the ssGSEA algorithm was applied to assess the association between these genes and immune cell infiltration levels. To evaluate their diagnostic potential, a nomogram was constructed based on the gene signature. Unsupervised consensus clustering revealed two distinct molecular subtypes of atherosclerosis. Finally, the protein expression levels of core EFRGs in atherosclerosis were analyzed using Western blotting. Results Single-cell data analysis demonstrates that macrophages, vascular smooth muscle cells, and endothelial cells play potential functional roles in efferocytosis. Utilizing bulk RNA sequencing, six core efferocytosis-related genes (STAB1, ANO5, GULP1, LGR6, SCARF1, and CAMK2G) were identified, which exhibit significant diagnostic potential in atherosclerosis. Based on the expression profiles of these six genes, atherosclerosis can be stratified into two distinct molecular subtypes—subtypes A and B—with subtype B being characterized by its association with unstable plaque formation. Western blot analysis confirmed the expression trends of five proteins (ANO5, GULP1, LGR6, SCARF1, and CAMK2G) among the candidates. Conclusion This study has revealed the potential value of efferocytosis-related biomarkers in the diagnosis of atherosclerosis (AS) and the optimization of treatment strategies, providing new theoretical basis and research perspectives for precise intervention in cardiovascular diseases.