Evidence map›Paper›PMID 37165163›Full record

ReviewCellular and molecular life sciences : CMLS2023

MicroRNA regulation of phenotypic transformations in vascular smooth muscle: relevance to vascular remodeling.

Gang Wang, Yulin Luo, Xiaojun Gao, Yu Liang, Feifei Yang, Jianbo Wu, Dan Fang, Mao Luo

Open access · greenAbstract readReview
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
6.2field-weighted citation impact, top 3% of its field
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

28 citing papers in PubMed, 40 citations in OpenAlex.

  1. Review
  2. Article
  3. mBiomolecules · 2026
    Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Functional screening identifies miRNAs with a novel function inhibiting vascular smooth muscle cell proliferation.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Article
  16. Article
  17. Review
  18. Review
  19. Review
  20. 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

8 authors at 2 institutions in 1 country.

Gang Wang *Key Laboratory of Medical Electrophysiology, Ministry of Education, Drug Discovery Research Center, Southwest Medical University, Longmatan District, No. 1, Section 1, Xianglin Road, Luzhou, Sichuan, China.
Yulin Luo *GCP Center, Affiliated Hospital (Traditional Chinese Medicine) of Southwest Medical University, Luzhou, China.
Xiaojun GaoKey Laboratory of Medical Electrophysiology, Ministry of Education, Drug Discovery Research Center, Southwest Medical University, Longmatan District, No. 1, Section 1, Xianglin Road, Luzhou, Sichuan, China.
Yu LiangIntegrated Traditional Chinese and Western Medicine, Affiliated Hospital of Traditional Chinese Medicine, Southwest Medical University, Luzhou, Sichuan, China.
Feifei YangSchool of Pharmacy, Chongqing Medical University, Chongqing, China.
Jianbo WuKey Laboratory of Medical Electrophysiology, Ministry of Education, Drug Discovery Research Center, Southwest Medical University, Longmatan District, No. 1, Section 1, Xianglin Road, Luzhou, Sichuan, China.
Dan FangKey Laboratory of Medical Electrophysiology, Ministry of Education, Drug Discovery Research Center, Southwest Medical University, Longmatan District, No. 1, Section 1, Xianglin Road, Luzhou, Sichuan, China. fangdan198301@163.com.
Mao LuoKey Laboratory of Medical Electrophysiology, Ministry of Education, Drug Discovery Research Center, Southwest Medical University, Longmatan District, No. 1, Section 1, Xianglin Road, Luzhou, Sichuan, China. luomao20050908@163.com.ORCID http://orcid.org/0000-0002-9076-7875
Southwest Medical University · CNChongqing Medical University · CN

Funding

National Natural Science Foundation of China 81800434Sichuan Province Science and Technology Support Program 2022YFS0627
6 · The paper itself

Abstract

Alterations in the vascular smooth muscle cells (VSMC) phenotype play a critical role in the pathogenesis of several cardiovascular diseases, including hypertension, atherosclerosis, and restenosis after angioplasty. MicroRNAs (miRNAs) are a class of endogenous noncoding RNAs (approximately 19-25 nucleotides in length) that function as regulators in various physiological and pathophysiological events. Recent studies have suggested that aberrant miRNAs' expression might underlie VSMC phenotypic transformation, appearing to regulate the phenotypic transformations of VSMCs by targeting specific genes that either participate in the maintenance of the contractile phenotype or contribute to the transformation to alternate phenotypes, and affecting atherosclerosis, hypertension, and coronary artery disease by altering VSMC proliferation, migration, differentiation, inflammation, calcification, oxidative stress, and apoptosis, suggesting an important regulatory role in vascular remodeling for maintaining vascular homeostasis. This review outlines recent progress in the discovery of miRNAs and elucidation of their mechanisms of action and functions in VSMC phenotypic regulation. Importantly, as the literature supports roles for miRNAs in modulating vascular remodeling and for maintaining vascular homeostasis, this area of research will likely provide new insights into clinical diagnosis and prognosis and ultimately facilitate the identification of novel therapeutic targets.

Indexed as

HypertensionMicroRNAsCell ProliferationHumansMuscle, Smooth, VascularMyocytes, Smooth MusclePhenotypeVascular RemodelingMicroRNAsContractile phenotypemiRNAPhenotypic transformationSynthetic phenotypeVSMC

Identifiers

PMID37165163
PMCPMC11071847
OpenAlexW4376132867

What OpenQuestion holds

Textmetadata
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.