Evidence map›Paper›PMID 41959723›Full record

ArticleFrontiers in molecular biosciences2026

Spatial localization of arachidonic acid in human carotid atherosclerotic plaques reveals a pro-inflammatory metabolic program in macrophages.

Jiaxin Wan, Rijin Lin, Zhouyang Jiao, Hui Cao, Chuang Zhang, Xiaowen Zhang, Mengyan Fan, Nan Zhang, Jiamei Zhang, Huixiang Liu and 6 more

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Jiaxin Wan *Department of Neurointervention, the First Affiliated Hospital of Zhengzhou University, Henan Provincial Neurointerventional Engineering Research Center, Zhengzhou, Henan, China.
Rijin Lin *Department of Neurointervention, the First Affiliated Hospital of Zhengzhou University, Henan Provincial Neurointerventional Engineering Research Center, Zhengzhou, Henan, China.
Zhouyang JiaoDepartment of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Hui CaoDepartment of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Chuang ZhangDepartment of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xiaowen ZhangDepartment of Neurointervention, the First Affiliated Hospital of Zhengzhou University, Henan Provincial Neurointerventional Engineering Research Center, Zhengzhou, Henan, China.
Mengyan FanDepartment of Neurointervention, the First Affiliated Hospital of Zhengzhou University, Henan Provincial Neurointerventional Engineering Research Center, Zhengzhou, Henan, China.
Nan ZhangDepartment of Emergency Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jiamei ZhangDepartment of Neurointervention, the First Affiliated Hospital of Zhengzhou University, Henan Provincial Neurointerventional Engineering Research Center, Zhengzhou, Henan, China.
Huixiang LiuDepartment of Neurointervention, the First Affiliated Hospital of Zhengzhou University, Henan Provincial Neurointerventional Engineering Research Center, Zhengzhou, Henan, China.
Yike ZhangDepartment of Neurointervention, the First Affiliated Hospital of Zhengzhou University, Henan Provincial Neurointerventional Engineering Research Center, Zhengzhou, Henan, China.
Chen HuangDepartment of Neurointervention, the First Affiliated Hospital of Zhengzhou University, Henan Provincial Neurointerventional Engineering Research Center, Zhengzhou, Henan, China.
Jianglin YangDepartment of Neurointervention, the First Affiliated Hospital of Zhengzhou University, Henan Provincial Neurointerventional Engineering Research Center, Zhengzhou, Henan, China.
Jing LiDepartment of Neurointervention, the First Affiliated Hospital of Zhengzhou University, Henan Provincial Neurointerventional Engineering Research Center, Zhengzhou, Henan, China.
Jie ZhangFujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, College of Medicine, Xiamen University, Xiamen, Fujian, China.
Sheng GuanDepartment of Neurointervention, the First Affiliated Hospital of Zhengzhou University, Henan Provincial Neurointerventional Engineering Research Center, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Carotid atherosclerosis is a significant cause of ischemic stroke. It is a chronic inflammatory disease characterized by the progressive accumulation of inflammatory cells and mediators. Specific key metabolites are known to play pivotal roles in the progression of atherosclerosis. By applying spatial omics, we pinpointed the colocalization of arachidonic acid with inflammatory cells in plaques, providing direct spatial evidence for its pro-inflammatory role in atherosclerosis. Methods: We employed metabolomics, spatial metabolomics, and single-cell transcriptomics to compare human stable and unstable plaques, aiming to identify key molecules associated with atherosclerotic disease progression. The spatial distribution of key metabolites and lipid components was analyzed using matrix-assisted laser desorption/ionization mass spectrometry imaging, enabling a detailed description of their spatial characteristics within carotid atherosclerotic plaques. Results: Collected human carotid artery atherosclerotic plaque tissues via carotid endarterectomy (CEA) for metabolomic analysis, identifying 74 differential metabolites. Notably, the pro-inflammatory lipid arachidonic acid (AA) was involved in 22 of these pathways and was upregulated in unstable plaques. ROC curve analysis further indicated that AA had good predictive capability for the disease. Focused on investigating the metabolic processes of AA. Using spatial metabolomics technology, revealed the dynamic spatial distribution of the "linoleic acid-AA-leukotriene D4" metabolic axis within atherosclerotic plaques. Based on the pro-inflammatory properties of AA, further explored its spatial distribution within plaques and its association with macrophages. Through single-cell sequencing analysis of macrophage subsets, found that Conclusion: Our study provides direct spatial evidence for the existence of the "linoleic acid-AA-leukotriene D4" metabolic axis. It reveals the association of

Indexed as

arachidonic acidatherosclerosismacrophagesingle-cell sequencingspatial metabolomics

Identifiers

PMID41959723
PMCPMC13056667

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.