Single-cell dissection of cholesterol metabolism reveals cell-type-specific genes and hypercholesterolemia-associated remodeling

Objective: This study was aimed at systematically characterizing cell-type-specific cholesterol metabolism in human blood samples, and investigating the impact of hypercholesterolemia on the composition and gene expression of immune and stromal populations. Method: Single-cell RNA sequencing (scRNA-seq) data from 31 human blood samples, encompassing 472,204 high-quality circulating cells, were analyzed. Pathway activities were assessed via gene set variation analysis (GSVA), and cell-type-specific markers were identified using differential expression analysis. Clinical cholesterol levels were used to stratify samples for comparative analysis of cell abundance and transcriptional changes. Results: Monocytes and macrophages were found to exhibit heightened activity in cholesterol transport and dynamic response pathways. Five monocyte-enriched cholesterol metabolism genes (CSF3R, FPR1, MNDA, MPEG1, and VCAN) were identified. Hypercholesterolemia was associated with increased abundance of macrophages, T cells, and NK cells, as well as decreased B cells and monocytes. Significant upregulation of pro-inflammatory genes such as VCAM1 in high-cholesterol conditions was revealed by differential gene expression analysis. Conclusion: Our study provided a comprehensive cell-type-specific atlas of cholesterol metabolism in human blood cells, highlighting metabolic heterogeneity and hypercholesterolemia-induced immune remodeling in the circulation. This resource offered novel insights into cholesterol-mediated immunomodulation.

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Publication Details

Journal
American Journal of Physiology-Endocrinology and Metabolism
Published
2026-07-17
DOI
https://doi.org/10.1152/ajpendo.00090.2026
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

Single-cell dissection of cholesterol metabolism reveals cell-type-specific genes and hypercholesterolemia-associated remodeling

Shuwen Han, Xi Yang, Zhang Zian, Caiyun Chu et al.
American Journal of Physiology-Endocrinology and Metabolism
Single-cell and spatial transcriptomics
article

Single-cell dissection of cholesterol metabolism reveals cell-type-specific genes and hypercholesterolemia-associated remodeling

Shuwen Han, Xi Yang, Zhang Zian, Caiyun Chu, Yujiu Liang, Jing Mao, Jing Zhuang, Jian Chu
article en

Abstract

Objective: This study was aimed at systematically characterizing cell-type-specific cholesterol metabolism in human blood samples, and investigating the impact of hypercholesterolemia on the composition and gene expression of immune and stromal populations. Method: Single-cell RNA sequencing (scRNA-seq) data from 31 human blood samples, encompassing 472,204 high-quality circulating cells, were analyzed. Pathway activities were assessed via gene set variation analysis (GSVA), and cell-type-specific markers were identified using differential expression analysis. Clinical cholesterol levels were used to stratify samples for comparative analysis of cell abundance and transcriptional changes. Results: Monocytes and macrophages were found to exhibit heightened activity in cholesterol transport and dynamic response pathways. Five monocyte-enriched cholesterol metabolism genes (CSF3R, FPR1, MNDA, MPEG1, and VCAN) were identified. Hypercholesterolemia was associated with increased abundance of macrophages, T cells, and NK cells, as well as decreased B cells and monocytes. Significant upregulation of pro-inflammatory genes such as VCAM1 in high-cholesterol conditions was revealed by differential gene expression analysis. Conclusion: Our study provided a comprehensive cell-type-specific atlas of cholesterol metabolism in human blood cells, highlighting metabolic heterogeneity and hypercholesterolemia-induced immune remodeling in the circulation. This resource offered novel insights into cholesterol-mediated immunomodulation.

American Journal of Physiology-Endocrinology and Metabolism
Zhejiang Chinese Medical University (CN), Huzhou Normal University (CN), Tarim University (CN), Huzhou Central Hospital (CN), Zhejiang Modern Chinese Medicine and Natural Medicine Research Institute (China) (CN)
National Natural Science Foundation of China, Medical and Health Research Project of Zhejiang Province, Basic Public Welfare Research Program of Zhejiang Province
Openalex Percentile: Top 14%
Single-cell and spatial transcriptomics
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