Evidence mapPaperPMID 40150326Full record

ReviewAnimals : an open access journal from MDPI2025

Non-Coding RNAs in Regulating Fat Deposition in Farm Animals.

Jingxuan Li, Xueyan Zhao, Yanping Wang, Jiying Wang

Abstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Jingxuan LiShandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China.
Xueyan ZhaoShandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China.
Yanping WangShandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China.
Jiying WangShandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China.ORCID 0000-0002-6312-1390

Funding

Key R&D Program of Shandong Province, China 2022LZGC003Shandong Provincial Natural Science Foundation ZR2022QC073Shandong Swine Industry Technology System Innovation SDAIT-08-03
6 · The paper itself

Abstract

Fat deposition represents a crucial feature in the expenditure of physical energy and affects the meat quality of farm animals. It is regulated by multiple genes and regulators. Of them, non-coding RNAs (ncRNAs) play a critical role in modulating the fat deposition process. As well as being an important protein source, farm animals can be used as medical models, so many researchers worldwide have explored their mechanism of fat deposition. This article summarizes the transcription factors, regulatory genes, and signaling pathways involved in the molecular regulation process of fat deposition; outlines the progress of researching the roles of microRNAs (miRNAs), long ncRNAs (lncRNAs), and circular RNAs (circRNAs) in fat deposition in common farm animals including pigs, cattle, sheep, ducks, and chickens; and identifies scientific problems in the field that must be further investigated. It has been demonstrated that ncRNAs play a critical role in regulating the fat deposition process and have great potential in improving meat quality traits.

Indexed as

adipogenesiscircRNAfarm animalslncRNAmiRNA

Identifiers

PMID40150326
PMCPMC11939817

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.