Evidence map›Paper›PMID 40724926›Full record

ArticleInternational journal of molecular sciences2025

Circulating microRNAs as Potential Diagnostic Tools for Asthma and for Indicating Severe Asthma Risk.

Elena V Vorobeva, M Aref Kyyaly, Collin L Sones, Peijun J W He, S Hasan Arshad, Tilman Sanchez-Elsner, Ramesh J Kurukulaaratchy

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
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

7 authors.

Elena V VorobevaClinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK.ORCID 0009-0004-0999-7190
M Aref KyyalyBiomedical Science, Department of Science and Engineering, Solent University Southampton, Southampton SO14 0YN, UK.ORCID 0000-0002-1684-9207
Collin L SonesOptoelectronics Research Centre, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, UK.
Peijun J W HeOptoelectronics Research Centre, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, UK.
S Hasan ArshadClinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK.ORCID 0000-0001-5988-235X
Tilman Sanchez-ElsnerClinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK.
Ramesh J KurukulaaratchyClinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK.ORCID 0000-0002-1588-2400

Funding

Asthma-Lung UK AUK-PG-2019-419
6 · The paper itself

Abstract

Asthma places a significant burden at individual and societal levels, but there remains no gold-standard objective test for asthma diagnosis or asthma severity risk prediction. MicroRNAs (miRNAs) are short non-coding RNA sequences that are attracting interest as biological signatures of health and disease status. We sought to construct serum miRNA panels that could serve as potential biomarkers to aid in the diagnosis of asthma and predict asthma severity. Thirty-five asthma-related miRNAs were screened in the serum of three patient groups (never-asthma, mild-asthma, and severe-asthma;

Indexed as

AsthmaCirculating MicroRNAMicroRNAsAdultBiomarkersFemaleHumansMaleMiddle AgedSeverity of Illness IndexBiomarkersCirculating MicroRNAMicroRNAsasthma severitybiologicbiomarkerdiagnosismicroRNA

Identifiers

PMID40724926
PMCPMC12294692

What OpenQuestion holds

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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.