ReviewCardiovascular research2018
Non-coding RNAs: key regulators of smooth muscle cell fate in vascular disease.
Review in Cardiovascular research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 2 of them syntheses that pooled it.
What it found
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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
59 citing papers in PubMed, 2 syntheses or guidelines pooled it, 83 citations in OpenAlex.
- MicroRNA-125b in vascular diseases: An updated systematic review of pathogenetic implications and clinical applications.Journal of cellular and molecular medicine · 2019Pooled it
- Targeting epigenetics and non-coding RNAs in atherosclerosis: from mechanisms to therapeutics.Pharmacology & therapeutics · 2019Pooled it
- tRNA-derived small RNAs in vascular smooth muscle cell phenotypic switching and vascular remodelling.Molecular biology reports · 2026Review
- Non-coding RNAs in lipid metabolism and their roles in atherosclerosis.Nature reviews. Cardiology · 2026Review
- NCOR1 and NCOR2 Exhibit Distinct Cellular and Transcriptomic Signatures in Human Abdominal Aortic Aneurysm.Biomedicines · 2026Article
- circ_0103896/miR-432-5p/FTO feedback loop suppresses the formation and progression of intracranial aneurysm.Non-coding RNA research · 2026Article
- PINCH proteins orchestrate vascular mural cell homeostasis through integrated signaling and transcriptional networks.Angiogenesis · 2026Article
- LINC00473 modulates protein expression to promote ovarian cancer progression and overcome cisplatin resistance.Oncology letters · 2026Article
- A Comprehensive Review of Epigenetic Regulation of Vascular Smooth Muscle Cells During Development and Disease.Biomolecules · 2026Review
- Long non-coding RNAs as molecular hubs integrating inflammatory and osteogenic pathways in calcific aortic valve disease.Frontiers in cardiovascular medicine · 2026Review
- The inner nuclear membrane protein LEMD3 organizes the 3D chromatin architecture to maintain vascular smooth muscle cell identity.Nature communications · 2025Article
- Transfer RNA-derived fragment tRF-36 modulates varicose vein progression via human vascular smooth muscle cell Notch signaling.Open life sciences · 2025Article
- Review
- Role of long noncoding RNAs in diabetes-associated peripheral arterial disease.Cardiovascular diabetology · 2024Review
- High glucose promotes atherosclerosis by regulating miRNA let7d-5p level.Journal of diabetes investigation · 2024Article
- Small nucleolar RNA host gene 18 controls vascular smooth muscle cell contractile phenotype and neointimal hyperplasia.Cardiovascular research · 2024Article
- Transfer RNA-derived small RNA tRF-Glu-CTC attenuates neointimal formation via inhibition of fibromodulin.Cellular & molecular biology letters · 2024Article
- Understanding the Relationship Between Vascular Smooth Muscle Cell Function and the Efficacy of Acupuncture in Treating Cerebral Ischemic Stroke: A Preclinical Meta-Analysis and Systematic Review.Journal of pain research · 2024Review
- Discovery of Salidroside as a Novel Non-Coding RNA Modulator to Delay Cellular Senescence and Promote BK-Dependent Apoptosis in Cerebrovascular Smooth Muscle Cells of Simulated Microgravity Rats.International journal of molecular sciences · 2023Article
- Cellular mechanotransduction in health and diseases: from molecular mechanism to therapeutic targets.Signal transduction and targeted therapy · 2023Review
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 at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The vascular smooth muscle cell (SMC) is one of the most plastic cells in the body. Understanding how non-coding RNAs (ncRNAs) regulate SMC cell-fate decision making in the vasculature has significantly enhanced our understanding of disease development, and opened up exciting new avenues for potential therapeutic applications. Recent studies on SMC physiology have in addition challenged our traditional view on their role and contribution to vascular disease, mainly in the setting of atherosclerosis as well as aneurysm disease, and restenosis after angioplasties. The impact of SMC behaviour on vascular disease is now recognized to be context dependent; SMC proliferation and migration can be harmful or beneficial, whereas their apoptosis, senescence, and switching into a more macrophage-like phenotype can promote inflammation and disease progression. This is in particular true for atherosclerosis-related diseases, where proliferation of SMCs was believed to promote lesion formation, but may also prevent plaque rupture by stabilizing the fibrous cap. Based on newer findings of genetic lineage tracing studies, it was revealed that SMC phenotypic switching can result in less-differentiated forms that lack classical SMC markers while exhibiting functions more related to macrophage-like cells. This switching can directly promote atherogenesis. The aim of this current review is to summarize and discuss how ncRNAs (mainly microRNAs and long ncRNAs) are involved in SMC plasticity, and how they directly affect vascular disease development and progression. Finally, we want to critically assess where potential future therapies could be useful to influence the burden of vascular diseases.
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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 OpenQuestion graph.