Evidence map›Paper›PMID 24380442›Full record

ArticleGenome medicine2013

miR-638 regulates gene expression networks associated with emphysematous lung destruction.

Stephanie A Christenson, Corry-Anke Brandsma, Joshua D Campbell, Darryl A Knight, Dmitri V Pechkovsky, James C Hogg, Wim Timens, Dirkje S Postma, Marc Lenburg, Avrum Spira

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

43 citing papers in PubMed, 84 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Vitronectin regulates lung tissue remodeling and emphysema in chronic obstructive pulmonary disease.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Article
  5. The role of microRNAs in calcific aortic valve disease.Frontiers in cardiovascular medicine · 2025
    Review
  6. Article
  7. Review
  8. Downregulation ofeLife · 2024
    Article
  9. Downregulation ofbioRxiv : the preprint server for biology · 2024
    Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Plasma miR-150-5p as a Biomarker for Chronic Obstructive Pulmonary Disease.International journal of chronic obstructive pulmonary disease · 2023
    Article
  16. Review
  17. Article
  18. Review
  19. The role of miRNAs in alveolar epithelial cells in emphysema.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2021
    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

10 authors at 5 institutions in 3 countries.

Stephanie A ChristensonDivision of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, 72 East Concord Street Boston, MA 02118, USA ; Department of Pulmonary and Critical Care Medicine, University of California, San Francisco, 513 Parnassus Ave, San Francisco, CA 94143, USA.
Corry-Anke BrandsmaDepartment of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 Groningen, Netherlands ; University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC), Hanzeplein 1, 9713 Groningen, Netherlands.
Joshua D CampbellDivision of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, 72 East Concord Street Boston, MA 02118, USA ; Bioinformatics Program, Boston University, 44 Cummington Street Boston, MA 02215, USA.
Darryl A KnightUBC James Hogg Research Centre, Institute for Heart and Lung Health, St Paul's Hospital and Department of Pathology and Laboratory Medicine, University of British Columbia, 1081 Burrard St Vancouver, BC V6Z 1Y6, Canada ; School of Biomedical Sciences and Pharmacy, University of Newcastle, University Drive Callaghan, New South Wales 2308, Australia.
Dmitri V PechkovskyUBC James Hogg Research Centre, Institute for Heart and Lung Health, St Paul's Hospital and Department of Pathology and Laboratory Medicine, University of British Columbia, 1081 Burrard St Vancouver, BC V6Z 1Y6, Canada ; Respiratory Division, Department of Medicine, University of British Columbia, The Jack Bell Research Center, 2660 Oak Street Vancouver, BC V6H 3Z6, Canada.
James C HoggUBC James Hogg Research Centre, Institute for Heart and Lung Health, St Paul's Hospital and Department of Pathology and Laboratory Medicine, University of British Columbia, 1081 Burrard St Vancouver, BC V6Z 1Y6, Canada.
Wim TimensDepartment of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 Groningen, Netherlands ; University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC), Hanzeplein 1, 9713 Groningen, Netherlands.
Dirkje S PostmaUniversity of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC), Hanzeplein 1, 9713 Groningen, Netherlands ; Department of Pulmonary Diseases, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 Groningen, Netherlands.
Marc LenburgDivision of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, 72 East Concord Street Boston, MA 02118, USA ; Bioinformatics Program, Boston University, 44 Cummington Street Boston, MA 02215, USA.
Avrum SpiraDivision of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, 72 East Concord Street Boston, MA 02118, USA ; Bioinformatics Program, Boston University, 44 Cummington Street Boston, MA 02215, USA.
Boston University · USUniversity of British Columbia · CAUniversity of Groningen · NLSt. Paul's Hospital · CAUniversity Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic obstructive pulmonary disease (COPD) is a heterogeneous disease characterized by varying degrees of emphysematous lung destruction and small airway disease, each with distinct effects on clinical outcomes. There is little known about how microRNAs contribute specifically to the emphysema phenotype. We examined how genome-wide microRNA expression is altered with regional emphysema severity and how these microRNAs regulate disease-associated gene expression networks.

methodsWe profiled microRNAs in different regions of the lung with varying degrees of emphysema from 6 smokers with COPD and 2 controls (8 regions × 8 lungs = 64 samples). Regional emphysema severity was quantified by mean linear intercept. Whole genome microRNA and gene expression data were integrated in the same samples to build co-expression networks. Candidate microRNAs were perturbed in human lung fibroblasts in order to validate these networks.

resultsThe expression levels of 63 microRNAs (P < 0.05) were altered with regional emphysema. A subset, including miR-638, miR-30c, and miR-181d, had expression levels that were associated with those of their predicted mRNA targets. Genes correlated with these microRNAs were enriched in pathways associated with emphysema pathophysiology (for example, oxidative stress and accelerated aging). Inhibition of miR-638 expression in lung fibroblasts led to modulation of these same emphysema-related pathways. Gene targets of miR-638 in these pathways were amongst those negatively correlated with miR-638 expression in emphysema.

conclusionsOur findings demonstrate that microRNAs are altered with regional emphysema severity and modulate disease-associated gene expression networks. Furthermore, miR-638 may regulate gene expression pathways related to the oxidative stress response and aging in emphysematous lung tissue and lung fibroblasts.

Identifiers

PMID24380442
PMCPMC3971345
OpenAlexW2136128497

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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.