ReviewArteriosclerosis, thrombosis, and vascular biology2025
Long Non-Coding RNA Function in Smooth Muscle Cell Plasticity and Atherosclerosis.
Review in Arteriosclerosis, thrombosis, and vascular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Dysregulated lncRNAs are associated with the progressive arterial phenotype in Hutchinson-Gilford Progeria Syndrome.GeroScience · 2026Article
- Vascular Smooth Muscle Cell Plasticity in Atherosclerosis: Mechanisms, Recent Advances, and Therapeutic Implications.Reviews in cardiovascular medicine · 2026Review
- PINCH proteins orchestrate vascular mural cell homeostasis through integrated signaling and transcriptional networks.Angiogenesis · 2026Article
- Paligenosis: dual potential of mature cell plasticity in regeneration and tumorigenesis.MedScience · 2026Review
- Vascular adventitial cells and vascular remodeling: when a harp of thousand strings does not keep in tune so long.Frontiers in physiology · 2026Review
- Single cell spatial transcriptomics integration deciphers the morphological heterogeneity of atherosclerotic carotid arteries.Nature communications · 2025Article
- Identification of lipid metabolism related immune markers in atherosclerosis through machine learning and experimental analysis.Frontiers in immunology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
In the healthy mature artery, vascular cells, including endothelial cells, smooth muscle cells (SMCs), and fibroblasts are organized in different layers, performing specific functions. SMCs located in the media are in a differentiated state and exhibit a contractile phenotype. However, in response to vascular injury within the intima, stimuli from activated endothelial cells and recruited inflammatory cells reach SMCs and induce a series of remodeling events in them, known as phenotypic switching. Indeed, SMCs retain a certain degree of plasticity and are able to transdifferentiate into other cell types that are crucial for both the formation and development of atherosclerotic lesions. Because of their highly cell-specific expression profiles and their widely recognized contribution to physiological and disease-related biological processes, long non-coding RNAs have received increasing attention in atherosclerosis research. Dynamic fluctuations in their expression have been implicated in the regulation of SMC identity. Sophisticated technologies are now available to allow researchers to access single-cell transcriptomes and study long non-coding RNA function with unprecedented precision. Here, we discuss the state of the art of long non-coding RNAs regulation of SMC phenotypic switching, describing the methodologies used to approach this issue and evaluating the therapeutic perspectives of exploiting long non-coding RNAs as targets in atherosclerosis.
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What Socratic holds
Registered trials
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.