Evidence map›Paper›PMID 35246486›Full record

ReviewThorax2022

Unlocking the secrets of long non-coding RNAs in asthma.

Fien Gysens, Pieter Mestdagh, Eric de Bony de Lavergne, Tania Maes

Open access · hybridAbstract readReview
In one paragraph

Review in Thorax, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.0field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Review
  3. Circular RNAs as Biomarkers in the Diagnosis of Human Diseases.Advances in experimental medicine and biology · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Noncoding RNAs in asthmatic airway smooth muscle cells.European respiratory review : an official journal of the European Respiratory Society · 2023
    Review
  11. Article
  12. Article
  13. Article
  14. Circular RNAs: emerging players in asthma and COPD.Frontiers in cell and developmental biology · 2023
    Review
  15. Review
  16. Article
  17. 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

4 authors at 1 institution in 2 countries.

Fien GysensOncoRNALab, Department of Biomolecular Medicine, Ghent University, Ghent, Belgium.ORCID 0000-0002-1515-311X
Pieter MestdaghOncoRNALab, Department of Biomolecular Medicine, Ghent University, Ghent, Belgium.
Eric de Bony de LavergneOncoRNALab, Department of Biomolecular Medicine, Ghent University, Ghent, Belgium.
Tania MaesLaboratory for Translational Research in Obstructive Pulmonary Diseases, Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium tania.maes@ugent.be.ORCID 0000-0002-3037-6928
Ghent University Hospital · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma is a very heterozygous disease, divided in subtypes, such as eosinophilic and neutrophilic asthma. Phenotyping and endotyping of patients, especially patients with severe asthma who are refractory to standard treatment, are crucial in asthma management and are based on a combination of clinical and biological features. Nevertheless, the quest remains to find better biomarkers that distinguish asthma subtypes in a more clear and objective manner and to find new therapeutic targets to treat people with therapy-resistant asthma. In the past, research to identify asthma subtypes mainly focused on expression profiles of protein-coding genes. However, advances in RNA-sequencing technologies and the discovery of non-coding RNAs as important post-transcriptional regulators have provided an entire new field of research opportunities in asthma. This review focusses on long non-coding RNAs (lncRNAs) in asthma; these are non-coding RNAs with a length of more than 200 nucleotides. Many lncRNAs are differentially expressed in asthma, and several have been associated with asthma severity or inflammatory phenotype. Moreover,

Indexed as

AsthmaRNA, Long NoncodingBiomarkersHumansSequence Analysis, RNABiomarkersRNA, Long Noncodingasthmaasthma geneticsasthma mechanisms

Identifiers

PMID35246486
PMCPMC9016255
OpenAlexW4214877787

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.