Abstract 4142856: Integrative Bulk And Single-Cell Meta-Analysis Defines SPP1+ Foamy Macrophage Contributing To Atherosclerosis Progression

Background: Atherosclerosis (AS) progression involves complex interactions and phenotypic plasticity among vascular and immune cell lineages. Single-cell RNA-seq (scRNA-seq) studies have highlighted lineage-specific transcriptomic signatures, but human cell phenotypes and crucial pathogenic cell subsets remain controversial. Methods: We performed an integrated meta-analysis of single-cell sequencing data from our center along with four other scRNA-seq libraries (GSE247238, GSE235436, GSE155512, GSE159677) to generate a comprehensive map of human atherosclerotic plaques, including both coronary arteries with no discernible atherosclerotic lesions and diseased carotid plaques. To validate our conclusions, three independent datasets were used, including two bulk transcriptomics datasets and one proteomics dataset (GSE28829, GSE16315 and PXD031052). Besides, the Biobank of Karolinska Endarterectomy (BiKE) dataset was used for Kaplan–Meier (KM) analysis. Comparative analyses were performed between the groups, including cellular compositional analysis, cell type–resolved transcriptomic changes, and functional analysis. Results: The final integrated single-cell dataset, comprising 134,710 cells, consisted of 8 major cell types. The annotated cell subpopulations were generally present across the various studies, but their proportions varied between different studies. Pathway analysis identified that the most significantly impacted pathways were those associated with immune cell functions and cellular metabolism. Notably, SPP1 is highly expressed in macrophages. Survival analysis showed significantly lower ischemic event-free survival in the high SPP1 expression group compared to the low expression group. Besides, compared to atherosclerotic plaques with early stage (EA), non-intraplaque hemorrhage (IPH), and non-calcified conditions, SPP1 expression was highly up-regulated in all stages of plaque progression, including advanced plaques (AA), hemorrhagic plaques, and calcified plaques. Meanwhile, the differences in cellular composition and transcriptomic profiles between the lesion and non-lesion groups further highlighted the significance of lipid metabolism-related SPP1 hi foamy macrophages. Conclusions: We created a unified atlas of human atherosclerosis informing cell state-specific mechanistic and translational studies of cardiovascular diseases. SPP1 hi foamy macrophages contributed importantly to AS progression.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4142856
Primary Topic
Ferroptosis and cancer prognosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4142856: Integrative Bulk And Single-Cell Meta-Analysis Defines SPP1+ Foamy Macrophage Contributing To Atherosclerosis Progression

Wei Feng, Ziang Yang, Chenglong Fang, Shengkang Huang
Circulation
Ferroptosis and cancer prognosis
article

Abstract 4142856: Integrative Bulk And Single-Cell Meta-Analysis Defines SPP1+ Foamy Macrophage Contributing To Atherosclerosis Progression

Wei Feng, Ziang Yang, Chenglong Fang, Shengkang Huang
article en

Abstract

Background: Atherosclerosis (AS) progression involves complex interactions and phenotypic plasticity among vascular and immune cell lineages. Single-cell RNA-seq (scRNA-seq) studies have highlighted lineage-specific transcriptomic signatures, but human cell phenotypes and crucial pathogenic cell subsets remain controversial. Methods: We performed an integrated meta-analysis of single-cell sequencing data from our center along with four other scRNA-seq libraries (GSE247238, GSE235436, GSE155512, GSE159677) to generate a comprehensive map of human atherosclerotic plaques, including both coronary arteries with no discernible atherosclerotic lesions and diseased carotid plaques. To validate our conclusions, three independent datasets were used, including two bulk transcriptomics datasets and one proteomics dataset (GSE28829, GSE16315 and PXD031052). Besides, the Biobank of Karolinska Endarterectomy (BiKE) dataset was used for Kaplan–Meier (KM) analysis. Comparative analyses were performed between the groups, including cellular compositional analysis, cell type–resolved transcriptomic changes, and functional analysis. Results: The final integrated single-cell dataset, comprising 134,710 cells, consisted of 8 major cell types. The annotated cell subpopulations were generally present across the various studies, but their proportions varied between different studies. Pathway analysis identified that the most significantly impacted pathways were those associated with immune cell functions and cellular metabolism. Notably, SPP1 is highly expressed in macrophages. Survival analysis showed significantly lower ischemic event-free survival in the high SPP1 expression group compared to the low expression group. Besides, compared to atherosclerotic plaques with early stage (EA), non-intraplaque hemorrhage (IPH), and non-calcified conditions, SPP1 expression was highly up-regulated in all stages of plaque progression, including advanced plaques (AA), hemorrhagic plaques, and calcified plaques. Meanwhile, the differences in cellular composition and transcriptomic profiles between the lesion and non-lesion groups further highlighted the significance of lipid metabolism-related SPP1 hi foamy macrophages. Conclusions: We created a unified atlas of human atherosclerosis informing cell state-specific mechanistic and translational studies of cardiovascular diseases. SPP1 hi foamy macrophages contributed importantly to AS progression.

CirculationVol. 150(Suppl_1)
Fu Wai Hospital (CN)
Good health and well-being
Openalex Percentile: Top 61%
Ferroptosis and cancer prognosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.