Evidence map›Paper›PMID 29027986›Full record

ArticleGenes2017

Effects of Conjugated Linoleic Acid Supplementation on the Expression Profile of miRNAs in Porcine Adipose Tissue.

Qi Wang, Renli Qi, Hong Liu, Jing Wang, Wenming Huang, Feiyun Yang, Jinxiu Huang

Open access · goldAbstract read
In one paragraph

Article in Genes, 2017. 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
0.2field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  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

7 authors at 2 institutions in 1 country.

Qi WangChongqing Academy of Animal Sciences, Chongqing 402460, China. wangq0418@126.com.
Renli QiChongqing Academy of Animal Sciences, Chongqing 402460, China. qirenli1982@163.com.ORCID 0000-0001-5549-8983
Hong LiuChongqing Academy of Animal Sciences, Chongqing 402460, China. dkbshliuhong@sina.com.
Jing WangChongqing Academy of Animal Sciences, Chongqing 402460, China. wj57482199@163.com.
Wenming HuangThe Department of Animal Husbandry, Rongchang Campus, Southwest University, Rongchang, Chongqing 402460, China. hwmyy@126.com.
Feiyun YangChongqing Academy of Animal Sciences, Chongqing 402460, China. yfeiyun@yeah.net.
Jinxiu HuangChongqing Academy of Animal Sciences, Chongqing 402460, China. short00@163.com.
Chongqing Academy of Animal Science · CNSouthwest University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conjugated linoleic acids (CLAs) play a major role in adipocyte differentiation and lipid metabolism in animals. MicroRNAs (miRNAs) appear to be involved in many biological processes in adipose tissue. However, the specific influence on miRNAs by CLA supplementation in porcine adipose tissue remains unclear. Thus, we continuously added 1.5% CLA to the pig diet from the embryo stage to the finishing period and conducted a high-throughput sequencing approach to analyse the changes in adipose tissue miRNAs. We identified 283 known porcine miRNAs, and 14 miRNAs were differentially expressed in response to CLA treatment. A Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that the targets of the 14 differentially expressed miRNAs were involved in the Wnt signalling pathway. The CLA treatment downregulated the gene expression of PPARγ, C/EBPα, FAS, and FATP1 in both subcutaneous and abdominal fat tissues; the analysis showed that ssc-miR-21 expression was significantly correlated with PPARγ expression (

Indexed as

adipose tissueconjugated linoleic acidsdifferential expressionmiRNApig

Identifiers

PMID29027986
PMCPMC5664121
OpenAlexW2761263062

What OpenQuestion 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 OpenQuestion graph.