Evidence map›Paper›PMID 40003868›Full record

ArticleInternational journal of molecular sciences2025

Rno-miR-130b Attenuates Lipid Accumulation Through Promoting Apoptosis and Inhibiting Differentiation in Rat Intramuscular Adipocytes.

Yichen Yu, Yongfang Chen, Lijun Wang, Ji Cheng, Min Du, Shifeng Pan

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 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

6 authors.

Yichen YuGuangling College, Yangzhou University, Yangzhou 225009, China.
Yongfang ChenCollege of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China.ORCID 0000-0001-8561-4156
Lijun WangCollege of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China.
Ji ChengCollege of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China.
Min DuDepartment of Animal Sciences, Washington State University, Pullman, WA 99163, USA.ORCID 0000-0002-7232-072X
Shifeng PanGuangling College, Yangzhou University, Yangzhou 225009, China.

Funding

National Foreign Experts Project (High-end Foreign Experts Introduction Programs of Ministry of Science and Technology) G2023014067LNational Natural Science Foundation of China 32072809Natural Science Foundation of Jiangsu Province BK20211119Open Fund of Meat Processing Key Laboratory of Sichuan Province 22-R-17Research and Practice Innovation Plan for Postgraduates in Jiangsu Province SJCX23_2016Special Project of Cross-cooperation of Northern Jiangsu People's Hospital SBJC23007
6 · The paper itself

Abstract

Our previous studies have shown that miR-130b can significantly inhibit subcutaneous fat deposition in pigs. This study aims to further investigate its effect on lipid accumulation at early-stage (24 and 48 h) and late-stage (7 d) adipogenic differentiation and to clarify potential mechanisms using primary rat intramuscular preadipocytes (IMAs). Results showed that at 24 h and 48 h, miR-130b overexpression significantly reduced lipid deposition by inhibiting proliferation and inducing apoptosis. Furthermore, miR-130b overexpression significantly inhibited the expression of cell cycle and apoptosis marker genes. Specifically, the mRNA expression of

Indexed as

AdipocytesApoptosisCell DifferentiationLipid MetabolismMicroRNAsAdipogenesisAnimalsCell ProliferationCells, CulturedMaleProto-Oncogene Proteins c-bcl-2RatsRats, Sprague-DawleyMicroRNAsProto-Oncogene Proteins c-bcl-2adipogenic differentiationapoptosiscell proliferationrat intramuscular preadipocytesrno-miR-130b

Identifiers

PMID40003868
PMCPMC11855280

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.