Evidence map›Paper›PMID 34349188›Full record

ArticleScientific reports2021

Circulating skeletal muscle related microRNAs profile in Piedmontese cattle during different age.

Rupal S Tewari, Ugo Ala, Paolo Accornero, Mario Baratta, Silvia Miretti

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 37% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

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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 at 1 institution in 1 country.

Rupal S TewariDepartment of Veterinary Sciences, University of Turin, Turin, Italy.
Ugo AlaDepartment of Veterinary Sciences, University of Turin, Turin, Italy.
Paolo AccorneroDepartment of Veterinary Sciences, University of Turin, Turin, Italy.
Mario BarattaDepartment of Veterinary Sciences, University of Turin, Turin, Italy.
Silvia MirettiDepartment of Veterinary Sciences, University of Turin, Turin, Italy. silvia.miretti@unito.it.
University of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Piedmontese cattle is known for double-muscle phenotype. MicroRNAs (miRNAs) play important role as regulators in skeletal muscle physiological processes, and we hypothesize that plasma miRNAs expression profiles could be affected by skeletal muscle growth status related to age. Plasma samples of cattle were collected during four different ages from first week of life until the time of commercial end of the fattening period before slaughter. Small-RNA sequencing data analysis revealed the presence of 40% of muscle-related miRNAs among the top 25 highly expressed miRNAs and, 19 miRNAs showed differential expression too. Using qRT-PCR, we validated in a larger bovine population, miRNAs involved in skeletal muscle physiology pathways. Comparing new-born with the other age groups, miR-10b, miR-126-5p, miR-143 and miR-146b were significantly up-regulated, whereas miR-21-5p, miR-221, miR-223 and miR-30b-5p were significantly down-regulated. High expression levels of miR-23a in all the groups were found. Myostatin, a negative regulator of skeletal muscle hypertrophy, was predicted as the target gene for miR-23a and miR-126-5p and we demonstrated their direct binding. Correlation analysis revealed association between miRNAs expression profiles and animals' weights along the age. Circulating miRNAs could be promising for future studies on their biomarker potentialities to beef cattle selection.

Indexed as

Age FactorsAnimalsBiomarkersBody WeightCattleCirculating MicroRNAHypertrophyMuscle, SkeletalMuscular DiseasesMyostatinPilot ProjectsBiomarkersCirculating MicroRNAMyostatin

Identifiers

PMID34349188
PMCPMC8339070
OpenAlexW3187756101

What OpenQuestion holds

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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.