Evidence map›Paper›PMID 40895546›Full record

ArticleFrontiers in immunology2025

Abnormal lipid metabolism and atherosclerosis: a new perspective on organelle function regulation and ferroptosis.

Xize Wu, Yuxi Huang, Jiaqi Ren, Xue Pan, Qiuying Wu, Qicheng Cai, Ruiying Wang, Teng Feng, Shan Gao, Bo Wang and 3 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 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. Review
  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

13 authors.

Xize Wu *The First Clinical College, Liaoning University of Traditional Chinese Medicine, Shenyang, China.
Yuxi Huang *The First Clinical College, Liaoning University of Traditional Chinese Medicine, Shenyang, China.
Jiaqi Ren *The First Clinical College, Liaoning University of Traditional Chinese Medicine, Shenyang, China.
Xue PanCollege of Traditional Chinese Medicine, Dazhou Vocational College of Chinese Medicine, Dazhou, China.
Qiuying WuThe First Clinical College, Liaoning University of Traditional Chinese Medicine, Shenyang, China.
Qicheng CaiThe First Clinical College, Liaoning University of Traditional Chinese Medicine, Shenyang, China.
Ruiying WangThe First Clinical College, Liaoning University of Traditional Chinese Medicine, Shenyang, China.
Teng FengThe First Clinical College, Liaoning University of Traditional Chinese Medicine, Shenyang, China.
Shan GaoThe First Clinical College, Liaoning University of Traditional Chinese Medicine, Shenyang, China.
Bo WangThe First Clinical College, Liaoning University of Traditional Chinese Medicine, Shenyang, China.
Meijia ChengThe First Clinical College, Liaoning University of Traditional Chinese Medicine, Shenyang, China.
Yue LiDepartment of Cardiology, Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, China.
Lihong GongDepartment of Cardiology, Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Atherosclerosis (AS), characterized by lipid accumulation, contributes significantly to global cardiovascular morbidity. Ferroptosis, an iron-dependent form of cell death triggered by lipid peroxidation, is emerging as a critical player in AS progression. Therefore, our study seeks to elucidate the intricate mechanisms of ferroptosis within the lipid metabolism pathway in AS. Methods: Differentially expressed genes were identified from the GSE100927 dataset, subsequently isolating AS lipid metabolism-related ferroptosis genes (ASLMRFeGs). Unsupervised cluster analysis was performed on AS samples to identify molecular clusters. WGCNA was performed to uncover module Hub genes. Multiple machine learning models (LASSO, SVM-RFE, RF) were applied to screen Hub genes. Experimental validation was performed by ox-LDL-induced HUVECs and RAW 264.7 cells. Single-cell data analyzes the gene structure and gene expression status of individual cells. Results: Six ASLMRFeGs (CTSB, CYBB, DPP4, HILPDA, HMOX1, IL1B) alter the immune microenvironment in AS. AS samples were stratified into two molecular clusters, exhibiting significant variations in inflammation and immune responses. Enrichment analysis of the 225 module Hub genes showed close association with inflammation, immune responses, cytoskeleton organization, and various organelles. Machine learning identified four candidate Hub genes (TYROBP, CSF1R, LCP2, C1QA). Conclusion: In AS, abnormal lipid metabolism may drive ferroptosis via key regulatory genes (CYBB, HMOX1, IL1B, TYROBP, CSF1R), while also reshaping the immune microenvironment, potentially through the modulation of organelle function.

Indexed as

AtherosclerosisFerroptosisLipid MetabolismAnimalsGene Expression ProfilingGene Regulatory NetworksHumansMiceRAW 264.7 Cellsatherosclerosisbioinformaticsferroptosislysosomemachine learningmitochondrion

Identifiers

PMID40895546
PMCPMC12390804

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Registered trials

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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.