Evidence map›Paper›PMID 33963462›Full record

ArticleFunctional & integrative genomics2021

Integrative analysis of miRNAs and mRNAs revealed regulation of lipid metabolism in dairy cattle.

Lixin Xia, Zhihui Zhao, Xianzhong Yu, Chunyan Lu, Ping Jiang, Haibin Yu, Xiaohui Li, Xiang Yu, Juan Liu, Xibi Fang and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Functional & integrative genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. CRISPR/Cas9-MediatedAnimals : an open access journal from MDPI · 2025
    Article
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  9. MicroRNA-148a TargetsInternational journal of molecular sciences · 2024
    Article
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  14. Review
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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

11 authors at 2 institutions in 2 countries.

Lixin XiaCollege of Animal Science, Jilin University, Changchun, 130062, People's Republic of China.
Zhihui ZhaoCollege of Animal Science, Jilin University, Changchun, 130062, People's Republic of China.
Xianzhong YuCollege of Animal Science, Jilin University, Changchun, 130062, People's Republic of China.
Chunyan LuCollege of Basic Medical, Jilin University, Changchun, 130062, People's Republic of China.
Ping JiangCollege of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, 524088, People's Republic of China.
Haibin YuCollege of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, 524088, People's Republic of China.
Xiaohui LiCollege of Basic Medical, Jilin University, Changchun, 130062, People's Republic of China.
Xiang YuCollege of Animal Science, Jilin University, Changchun, 130062, People's Republic of China.
Juan LiuCollege of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, 524088, People's Republic of China.
Xibi FangCollege of Animal Science, Jilin University, Changchun, 130062, People's Republic of China. fangxibi@jlu.edu.cn.
Runjun YangCollege of Animal Science, Jilin University, Changchun, 130062, People's Republic of China. yrj@jlu.edu.cn.ORCID http://orcid.org/0000-0003-1401-4318
Jilin University · CNGuangdong Ocean University · CN

Funding

Department of Science and Technology of Jilin Province 20180101275JCNational Natural Science Foundation of China 31772562National Natural Science Foundation of China 31802034National Natural Science Foundation of China 31972993
6 · The paper itself

Abstract

Lipid metabolism in bovine mammary epithelial cells has been the primary focus of the research of milk fat percentage of dairy cattle. Functional microRNAs can affect lipid metabolism by regulating the expression of candidate genes. The purpose of the study was to screen and identify differentially expressed miRNAs, candidate genes, and co-regulatory pathways related to the metabolism of milk fat. To achieve this aim, we used miRNA and transcriptome data from the mammary epithelial cells of dairy cattle with high (H, 4.85%) and low milk fat percentages (L, 3.41%) during mid-lactation. One hundred ninety differentially expressed genes and 33 differentially expressed miRNAs were significantly enriched in related regulatory networks, of which 27 candidate genes regulated by 18 differentially expressed miRNAs significantly enriched in pathways related to lipid metabolism (p < 0.05). Target relationships between PDE4D and bta-miR-148a, PEG10 and bta-miR-877, SOD3 and bta-miR-2382-5p, and ADAMTS1 and bta-miR-2425-5p were verified using luciferase reporter assays and quantitative RT-PCR. The detection of triglyceride production in BMECs showed that bta-miR-21-3p and bta-miR-148a promote triglyceride synthesis, whereas bta-miR-124a, bta-miR-877, bta-miR-2382-5p, and bta-miR-2425-5p inhibit triglyceride synthesis. The conjoint analysis could identify functional miRNAs and regulatory candidate genes involved in lipid metabolism within the co-expression networks of the dairy cattle mammary system, which contributes to the understanding of potential regulatory mechanisms of genetic element and gene signaling networks involved in milk fat metabolism.

Indexed as

CattleLipid MetabolismMicroRNAsRNA, MessengerAnimalsDairyingFatsFemaleGene Expression RegulationLactationMilkTriglyceridesFatsMicroRNAsRNA, MessengerTriglyceridesBovine mammary epithelial cellsConjoint analysisDairy cattleMilk fat percentageMiRNA

Identifiers

PMID33963462
OpenAlexW3157500397

What OpenQuestion holds

Textmetadata
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.