Evidence map›Paper›PMID 41469416›Full record

ReviewCell death discovery2025

Vascular smooth muscle cell metabolic reprogramming and phenotypic remodeling in atherosclerosis.

Zhenyue Fu, Shuo Yang, Xindi Chang, Ping Liu, Yiru Wang

Abstract readReview
In one paragraph

Review in Cell death discovery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
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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

5 authors.

Zhenyue FuDepartment of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Shuo YangDepartment of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Xindi ChangDepartment of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Ping LiuDepartment of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China. liuping0207@yeah.net.ORCID http://orcid.org/0000-0003-4694-1984
Yiru WangDepartment of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China. wangyiruenen@shutcm.edu.cn.ORCID http://orcid.org/0000-0002-2691-8050

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82204849
6 · The paper itself

Abstract

Metabolic reprogramming of vascular smooth muscle cells (VSMC) is emerging as a central driver of atherosclerotic plaque heterogeneity and instability. VSMCs undergo phenotypic remodeling into osteogenic, macrophage-like, foam cell-like, or pro-inflammatory states through metabolic reprogramming, which actively drives vascular calcification, lipid accumulation, and extracellular matrix degradation. In this review, we summarize the various phenotypes of VSMCs observed during AS development and describe potential molecular pathways linking metabolic reprogramming to phenotypic remodeling. We highlight key regulators, including glucose transporters, pyruvate dehydrogenase kinase 4, 6 - Phosphofructo - 2 - kinase/fructose - 2, 6 - bisphosphatase 3, pyruvate kinase M2, fatty acid synthase, homocysteine, etc., which integrate extracellular stimuli and intracellular metabolic changes to drive VSMCs fate decisions. In addition, we discuss how specific metabolic pathways interact with epigenetic and signaling networks to regulate VSMCs proliferation, apoptosis, calcification, foaming, and aging. Finally, we explore therapeutic opportunities for targeted metabolic regulators, including traditional Chinese medicine, Sirtuin 1 activators, ATP-Citrate Lyase inhibitors, statins, folic acid, etc., providing new strategies to stabilize plaques and slow the progression of AS.

Identifiers

PMID41469416
PMCPMC12847746

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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.