Evidence map›Paper›PMID 39649621›Full record

ArticleWellcome open research2024

Identification of reference microRNAs in skeletal muscle of a canine model of Duchenne muscular dystrophy.

Dominique O Riddell, John C W Hildyard, Rachel C M Harron, Dominic J Wells, Richard J Piercy

Abstract read
In one paragraph

Article in Wellcome open research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Dominique O RiddellDepartment of Clinical Science and Services, Comparative Neuromuscular Diseases Laboratory, Royal Veterinary College, London, NW1 0TU, UK.ORCID https://orcid.org/0000-0002-1614-504X
John C W HildyardDepartment of Clinical Science and Services, Comparative Neuromuscular Diseases Laboratory, Royal Veterinary College, London, NW1 0TU, UK.ORCID https://orcid.org/0000-0003-2283-2118
Rachel C M HarronDepartment of Clinical Science and Services, Comparative Neuromuscular Diseases Laboratory, Royal Veterinary College, London, NW1 0TU, UK.
Dominic J WellsDepartment of Clinical Science and Services, Comparative Neuromuscular Diseases Laboratory, Royal Veterinary College, London, NW1 0TU, UK.ORCID https://orcid.org/0000-0002-1425-6344
Richard J PiercyDepartment of Clinical Science and Services, Comparative Neuromuscular Diseases Laboratory, Royal Veterinary College, London, NW1 0TU, UK.ORCID https://orcid.org/0000-0002-4344-6438

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: Duchenne muscular dystrophy (DMD) is a fatal muscle wasting disease caused by mutations in the dystrophin gene. DE50-MD dogs are an animal model of DMD used as a final translational model for evaluation of promising treatments. MicroRNA (miR) expressions in the muscle of DE50-MD dogs represent potential biomarkers, but stable reference miRs must first be identified. The aim of this paper was to establish a panel of reference miRs for WT and DE50-MD dogs over a range of ages and muscle groups. Methods: RNA was extracted from WT and DE50-MD dog (N=6 per genotype) vastus lateralis muscle samples collected longitudinally at 3, 6, 9, 12, 15 and 18 months of age, and from muscles collected post-mortem (N=3 per genotype; cranial tibial, semimembranosus, lateral triceps and diaphragm). 87 RNAs were quantified in a subset of 6-month-old WT and DE50-MD muscles (N=4 per genotype) using the QIAcuity miFinder panel. GeNorm, BestKeeper and Normfinder were used to identify a candidate panel of the 8 most stable small RNAs, which were then quantified in all RNA samples, alongside the commonly used reference RNA snRNA U6. Results: The most stable miRs of this subset were used to normalise quantities of dystromiRs miR-1, miR-133a and miR-206, and fibromiR miR-214. MicroRNAs miR-191, let-7b, miR-125a and miR-15a were the most stable miRs tested, while snRNA U6 performed poorly. DystromiR expression, normalised to the geometric mean of the panel of reference miRs, was lower for miR-1 and miR-133a in DE50-MD compared to WT muscles, while miR-206 levels did not significantly differ between genotypes. FibromiR miR-214 was 2- to 4-fold higher in DE50-MD versus WT muscles. Conclusions: A normalisation factor derived from miR-191, let-7b, miR-125a and miR-15a is suitable for normalising miR expression data from WT and DE50-MD muscle over a range of ages and muscle types.

Indexed as

DE50-MDDMDdog modelMicroRNAreference genesRT-qPCR

Identifiers

PMID39649621
PMCPMC11621615

What Socratic holds

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LicenceCC BY
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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 Socratic graph.