Evidence map›Paper›PMID 19541842›Full record

ArticleAmerican journal of respiratory cell and molecular biology2010

MicroRNA expression in human airway smooth muscle cells: role of miR-25 in regulation of airway smooth muscle phenotype.

Andrew R Kuhn, Karen Schlauch, Ronna Lao, Andrew J Halayko, William T Gerthoffer, Cherie A Singer

Abstract read
In one paragraph

Article in American journal of respiratory cell and molecular biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

78 citing papers in PubMed, 143 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Phenotypic Switching of VSMCs in the Development of CVDs: Focus on miRs.International journal of molecular sciences · 2025
    Review
  5. Article
  6. Article
  7. Noncoding RNAs in asthmatic airway smooth muscle cells.European respiratory review : an official journal of the European Respiratory Society · 2023
    Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. MiR-502 Suppresses TNF-BioMed research international · 2021
    Article
  16. Article
  17. Review
  18. MicroRNAs: Potential Biomarkers and Targets of Therapy in Allergic Diseases?Archivum immunologiae et therapiae experimentalis · 2019
    Review
  19. Review
  20. Article

18 more citing papers are in PubMed but not listed here.

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

6 authors at 3 institutions in 2 countries.

Andrew R KuhnDepartment of Pharmacology/318, University of Nevada School of Medicine, Reno, NV 89557-0046, USA.
Karen Schlauch
Ronna Lao
Andrew J Halayko
William T Gerthoffer
Cherie A Singer
University of Nevada, Reno · USUniversity of Manitoba · CAUniversity of South Alabama · US

Funding

UNDERGRADUATE RESEARCH AND TRAININGP20RR016464 · NCRR · UNIVERSITY OF NEVADA RENO · PI REIBER, CARL · 2001 to 2011
$30.3M
Small heat shock proteins in smooth muscle plasticityR01HL077726 · NHLBI · UNIVERSITY OF SOUTH ALABAMA · PI GERTHOFFER, WILLIAM T · 2005 to 2013
$2.5M
microRNA-25 attenuates allergic inflammation by altering airway smooth muscle phenotype and functionR01HL127192 · NHLBI · UNIVERSITY OF NEVADA RENO · PI SINGER, CHERIE · 2016 to 2019
$1.5M
Interferon regulation of T-bet in airway smooth muscleK01HL080960 · NHLBI · UNIVERSITY OF NEVADA RENO · PI SINGER, CHERIE · 2005 to 2008
$486k
CIHRNCRR NIH HHS RR016464NHLBI NIH HHS HL077726NHLBI NIH HHS HL080960NHLBI NIH HHS R01 HL077726NHLBI NIH HHS R01 HL127192
6 · The paper itself

Abstract

Defining mechanisms by which differentiated, contractile smooth muscle cells become proliferative and secretory in response to mechanical and environmental stress is crucial for determining the contribution of airway smooth muscle (ASM) to inflammatory responses that result in airway disease. Regulation by microRNAs (miRNAs) has emerged as an important post-transcriptional mechanism regulating gene expression that may modulate ASM phenotype, but little is known about the expression and functions of miRNA in smooth muscle. In the present study we used microarrays to determine whether miRNAs in human ASM cells are altered by a proinflammatory stimulus. In ASM cells exposed to IL-1beta, TNF-alpha, and IFN-gamma, we found 11 miRNAs to be significantly down-regulated. We verified decreased expression of miR-25, miR-140*, mir-188, and miR-320 by quantitative PCR. Analysis of miR-25 expression indicates that it has a broad role in regulating ASM phenotype by modulating expression of inflammatory mediators such as RANTES, eotaxin, and TNF-alpha; genes involved in extracellular matrix turnover; and contractile proteins, most notably myosin heavy chain. miRNA binding algorithms predict that miR-25 targets Krüppel-like factor 4 (KLF4), a potent inhibitor of smooth muscle-specific gene expression and mediator of inflammation. Our study demonstrates that inhibition of miR-25 in cytokine-stimulated ASM cells up-regulates KLF4 expression via a post-transcriptional mechanism. This provides novel evidence that miR-25 targets KLF4 in ASM cells and proposes that miR-25 may be an important mediator of ASM phenotype.

Indexed as

BronchiContractile ProteinsCytokinesExtracellular MatrixGene Expression ProfilingGene Expression RegulationHumansKruppel-Like Factor 4Kruppel-Like Transcription FactorsMicroRNAsMyocytes, Smooth MuscleOligonucleotide Array Sequence AnalysisContractile ProteinsCytokinesKLF4 protein, humanKruppel-Like Factor 4Kruppel-Like Transcription FactorsMicroRNAsMirn140 microRNA, humanMIRN25 microRNA, human

Identifiers

PMID19541842
PMCPMC2848741
OpenAlexW2027755252

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.