Evidence map›Paper›PMID 40189611›Full record

ArticleScientific reports2025

Single-cell transcriptome integrated with genome-wide association study reveals heterogeneity of carotid and femoral plaques and its association with plaque stability.

Xinhuang Hou, Zhipeng Li, Jun Lin, Wei Lin, Luyao Li, Xiaoqi Zheng, Xiaoling Lai, Lin Zhu, Pingfan Guo, Fanggang Cai and 4 more

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. Article
  2. 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

14 authors.

Xinhuang Hou *Department of Vascular Surgery, The First Affiliated Hospital, Fujian Medical University, 20 Chazhong Road, Fuzhou, 350005, China. fjfyhxh@163.com.
Zhipeng Li *Department of Gastrointestinal Surgery, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Jun Lin *Trauma Center and Emergency Surgery Department, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Wei LinDepartment of Vascular Surgery, The First Affiliated Hospital, Fujian Medical University, 20 Chazhong Road, Fuzhou, 350005, China.
Luyao LiDepartment of Vascular Surgery, The First Affiliated Hospital, Fujian Medical University, 20 Chazhong Road, Fuzhou, 350005, China.
Xiaoqi ZhengDepartment of Vascular Surgery, The First Affiliated Hospital, Fujian Medical University, 20 Chazhong Road, Fuzhou, 350005, China.
Xiaoling LaiDepartment of Vascular Surgery, The First Affiliated Hospital, Fujian Medical University, 20 Chazhong Road, Fuzhou, 350005, China.
Lin ZhuDepartment of Nutrition and Food Safety, School of Public Health, Fujian Medical University, Fuzhou, 350122, China.
Pingfan GuoDepartment of Vascular Surgery, The First Affiliated Hospital, Fujian Medical University, 20 Chazhong Road, Fuzhou, 350005, China.
Fanggang CaiDepartment of Vascular Surgery, The First Affiliated Hospital, Fujian Medical University, 20 Chazhong Road, Fuzhou, 350005, China.
Jinchi ZhangDepartment of Vascular Surgery, The First Affiliated Hospital, Fujian Medical University, 20 Chazhong Road, Fuzhou, 350005, China.
Wanglong LiDepartment of Vascular Surgery, The First Affiliated Hospital, Fujian Medical University, 20 Chazhong Road, Fuzhou, 350005, China.
Changwei YangDepartment of Nutrition and Food Safety, School of Public Health, Fujian Medical University, Fuzhou, 350122, China. vivianyang87@126.com.
Yiquan DaiDepartment of Vascular Surgery, The First Affiliated Hospital, Fujian Medical University, 20 Chazhong Road, Fuzhou, 350005, China. daiyiquan@sina.cn.

Funding

Joint Funds for the Innovation of Science and Technology, Fujian Province No. 2023Y9306National Natural Science Foundation of China No. 82204023Startup Fund for Scientific Research of Fujian Medical University No. 2023QH1065
6 · The paper itself

Abstract

Carotid and femoral plaques exhibit varying degrees of stability; however, the relationships of different genes/cell types with plaque embolism are poorly understood. We evaluated differential gene/cell expression and investigated the cells/genes associated with carotid and femoral artery plaque embolism. sc-RNA-seq and bulk RNA data were obtained to identify differentially expressed genes (DEGs). Seven machine learning models were trained, and the top 10 DEGs across all models were selected. The most disturbed cells in carotid and femoral artery plaques were identified using Augur, while the genes and cells in the carotid plaque associated with embolism were analyzed through scPagwas. The differences in most disturbed cells and embolism-related cells were further analyzed. Compared with femoral plaques, carotid plaques had 80 downregulated and 90 upregulated genes. Machine learning identified the key DEGs between carotid and femoral plaques were predominantly from the HOX gene family. Natural Killer (NK) cells were the most significantly disturbed cells between carotid and femoral plaques, and they may be most strongly associated with plaque embolism. Among the differential genes in NK cells, CD2 was most associated with embolism. Our research may offer new insights into atherosclerosis at different locations.

Indexed as

Carotid ArteriesFemoral ArteryGenome-Wide Association StudyPlaque, AtheroscleroticSingle-Cell AnalysisTranscriptomeGene Expression ProfilingHumansKiller Cells, NaturalMachine LearningAtherosclerosisCarotid and femoralPlaque embolismSingle-cell sequencing

Identifiers

PMID40189611
PMCPMC11973204

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.